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Syllabi :

[nextpage title=”Basic Physics I“] SF141203 – 3 Credits Course Coordinator  : Offered by Physics Department Materials – Textbooks, Readings, Supplementary Readings:

  • Alonso & Finn,”Fundamental University Physics”, Addison Wesley Pub Comp Inc,13`.ed, Calf, 1990.
  • Giancoli, DC., (terj, Yuhilza H), ‘Fisika, jilid 1′, Erlangga, Jakarta, 2001.
  • Halliday & Resnic; ‘Fundamental of Physics’. John Wiley and Sons, New York, 1987.
  • Petunjuk Praktikum Fisika Dasar”, Fisika, MIPA-ITS
  • Tim Dosen, “Diktat Fisika I”, ”Soal-soal Fisika I”, Fisika FMIPA-ITS
  • Tipler, PA,(terj. L Prasetio dan R.W.Adi), “Fisika: untuk Sains dan Teknik, Jilid 1″, Erlangga, Jakarta, 1998.

Course Description: Basic Physics 1 is given to equip all students in order to understand the events or phenomena of nature along with the basic laws of physics. This course will explain the basic concepts of physics mechanics, waves, and the fluid in the form of a simple math problem followed by examples and applications. By following this course, students are expected to be able to use simple physics completion in daily life. Course Requirement : Required Prerequisites              : N/A Course Topics :

  • Magnitude and vectors
  • Particle kinematics: velocity, acceleration, rectilinear motion, parabolic motion, circular motion
  • Dynamics of particles: Newton’s laws, friction
  • Work and energy: concepts of work, kinetic energy, potential energy, conservation of mechanical energy, momentum and collisions
  • Rotational motion: velocity and angular acceleration, moment of force and moment of inertia, rolling motion
  • Vibration: simple harmonic motion, vibration combined in harmony
  • Fluid mechanics: hydrostatics, hydrodynamics

Learning Outcomes After completing this course, students should be able to (the numbering does not necessarily imply any ordering):

  1. explain the physical quantities and units of the system, as well as the characteristics of scalar and vector quantities
  2. explain the definitions and apply formulation of torsion motion and straight motion visually and mathematically
  3. understand and apply formulation of parabolic motion and rotational motion.
  4. understand the basic principles of the laws of Newton and describes the interaction force between objects
  5. understand the principles of work and mechanical energy, mechanical energy conservation laws
  6. apply the principle of impulse and momentum, conservation of momentum, elastic and inelastic collision
  7. understand the center of mass and moments of inertia
  8. understand the principles of rigid body motion and rolling motion
  9. understand and apply velocity and angular acceleration, rotational and translational motion, rigid body equilibrium
  10. apply the formula to solve the problem of harmonic vibration spring and pendulum vibrations
  11. understand Hooke Law in elasticity tensile and torsional
  12. understand stationary fluid flow events and the role of viscosity on fluid flow buoyancy apply the formula and the formula Bernoulli.
[/nextpage][nextpage title=” Calculus I “] SM141203 – 3 Credits Course Coordinator  : Offered by Mathematics Department Materials – Textbooks, Readings, Supplementary Readings:

  • Tim Dosen Jurusan Matematika ITS, Buku Ajar Kalkulus I , Edisi ke-4 Jurusan Matematika ITS, 2012
  • Anton, H. dkk, Calculus, 10-th edition, John Wiley & Sons, New York, 2012
  • Kreyzig, E, Advanced Engineering Mathematics, 10-th edition, John Wiley & Sons, Singapore, 2011
  • Purcell, J, E, Rigdon, S., E., Calculus, 9-th edition, Prentice-Hall, New Jersey, 2006
  • James Stewart , Calculus, ed.7, Brooks/cole-Cengage Learning, Canada,2012

Course Description: This course discusses definition, properties and technical completion of functions, differential and integral. Students equipped with the concept of mathematical thinking in solving the problems of engineering, modeling and others in the engineering related to the application of differential or integral. Lecture materials include a system of real numbers (sequence of, absolute value), the functions and limits, derivative and its applications, integral and non-integral of certain elementary functions. Learning methods are performed by the method of lectures, discussions, exercises settlement matters both computational techniques and interpretation problems. Course Requirement : Required Prerequisites              : N/A Course Topics :

  • The basic concept of the real number system: understanding the real number system (real coordinates, sequence of nature), equations and inequalities, the notion of absolute value, coordinate field, a line, a distance of two points, circle, parabola
  • The concepts of function, limit: Functions: algebraic and transcendental, Domain, range, Operation of functions, graphs of functions, inverse functions, Limit and Continuity function
  • Derivatives (derivatives): A tangent, rate of change, the definition of a derivative function, derivative techniques, and the chain rule implicit derivative function.
  • Application derivative: intervals of up/down, concave function, extreme value, graph function (polynomial, rational rupture), application optimization problems, L’Hopital theorem.
  • Integral non-naturally: Anti-derivatives, indefinite integrals, integral with the substitution

Learning Outcomes After completing this course, students should be able to (the numbering does not necessarily imply any ordering):

  1. resolve inequalities, to determine the domain and range
  2. understand and calculate the limit function and determine the continuity function
  3. derive a function (derivative) and implement the optimization function
  4. draw a graph that has asymptote, using derivative test to determine the extreme points, the function of up/down, and concavity
  5. compute the indefinite integral by substitution
[/nextpage] [nextpage title=”Civics“] IG141106 3 Credits   Course Coordinator   : Offered by General Education Unit (UPMB – UPT Pengelola Mata Kuliah Bersama) Materials – Textbooks, Readings, Supplementary Readings:

  • Winarno, Paradigma Baru Pendidikan Kewarganegaraan, Penerbit Bumi Aksara
  • Soedarso, Filsafat Pancasila Identitas Indonesia, Penerbit Pustaka Radja
  • Hasan Alwi, Bahasa Baku Bahasa Indonesia, Penerbit Balai Pustaka
  • Sukarno, editor H Amin Arjoso, SH, Tjamkan Pancasila Dasar Falsafah Negara, Penerbit Panitia Nasional Peringatan Lahirnya Pancasila 1 Juni 1945 – 1 Juni 1964 Jakarta
  • Dr. Moh. Mahfud M.D., Dasar dan Struktur Ketatanegaraan Indonesia, Penerbit PT Rineka Cipta.
  • Magnis-Suseno, Etika Politik: Prinsip-prinsip Moral Dasar Kenegaraan Modern, Penerbit Gramedia Pustaka Utama
  • Inu Kencana Syafiie & Andi Azikin, Perbandingan Pemerintahan, Penerbit PT Refika Aditama
  • Gunawan Sumodiningrat, Mewujudkan Kesejahteraan Bangsa, Penerbit PT Elex Media Komputindo

Course Description: In this course, students acquire knowledge and learning experiences to increase understanding and awareness about: a sense of nationalism and patriotism, civilized democratic, become citizens who are competitive, disciplined and actively participated in building a peaceful life based on system of values of Pancasila. After this course, students are expected to be able to realize themselves into good citizens who capable of supporting the nation, democratic citizens, namely citizens who are intelligent, civilized and responsible for the survival of Indonesia in practice the ability of science, technology and art holds. Course Requirement : Required Prerequisites              : N/A Course Topics

  • Indonesian National History
  • Process and Formulation of Pancasila as an ideology of the Nation
  • Nation and Constitution (Legal System and Government in Indonesia)
  • Human Rights and Democracy (Assessment and Enforcement)
  • Geopolitics and Regional Autonomy
  • Globalization and National Geo-strategy
  • Oral Communication Principles (Presentation of Scientific, Technical Interview)
  • Principles of Communication Write (Scientific Writing, Popular Posts)

Learning Outcomes After completing this course, students should be able to (the numbering does not necessarily imply any ordering):

  1. utilize science and technology according to the principles of sustainable development to support the achievement of the welfare and prosperity of Indonesian people
  2. have comprehensive knowledge to synergize the utility of science and technology with national elements including Pancasila, the 1945 Constitution, Legal System and Governance, Human Rights, Democracy, Geopolitics and Geo-strategy
  3. take the right decision to prioritize national interests, upholding human rights and fair international relationship
  4. uphold the attitudes and values: respect the unity in diversity, able to work in a team, has the nature of trust, social sensitivity and high passion for the community and for Indonesia
[/nextpage][nextpage title=” Introduction to Economics “] TI141201 – 2 credits Course Coordinator  : Ir. Ibnu Hisyam, M.T. Contact hours            : Thursday on Friday (10:00 a.m. – 02:00 p.m.) Materials – Textbooks, Readings, Supplementary Readings: Lipsey, R, Crystal, A, 2011, Economics, 12th Ed., Oxford University Press Inc., New York.   Course Description: Introduction to Economic is not to introduce to Economics but is to draw important part from it for engineering design in industrial engineering perspective. The important part of economic that will be drawn include some topics of micro and macroeconomics that have strong relevancy with importance for design, development, and installation of integrated system of part or product industrial business that gain economic profit sustainability. Course Requirement : Required Prerequisites              : N/A Course Topics

  1. Economic Problems and Concepts
  2. Demand and Supply
  3. Elasticity of Demand and Supply
  4. Firm Cost Structure
  5. Market Structure
  6. Demand and Supply of Production Factor
  7. Capital, Investment, and Innovation Technology
  8. Problems and Macro Economic Measurement
  9. Money and Monetary Institutions
  10. Payment Balance and Exchange Value
  11. Inflation
  12. Growth and Sustainability Economy

Learning Outcomes After completing this course, students should be able to (the numbering does not necessarily imply any ordering):

  1. understand and explain the economics concepts and problems
  2. understand and explain determination of the product value, supply and demand law for product (goods and services)
  3. understand and explain the elasticity of demand and supply for pricing and product marketing actions
  4. understand and explain the structure of opportunity cost for a firm
  5. understand and analyze the product market structure of firm in industry
  6. understand and explain the demand and supply of production factors
  7. understand and explain the capital, investment, and technology innovation as input for increasing economic performance of firms
  8. understand and use to analyze the impacts of macro economic circumstances toward input and output ( parts or assembly products) of industries
  9. understand and explain the reasons of using financial criteria on engineering designs
  10. understand and explain the impacts of global economy circumstances on domestic producer and the other way
  11. understand and explain with example the relativity value in monetary standard
  12. understand and explain the adhesive of economy goals and its resource sustainability.
[/nextpage]

[nextpage title=” Engineering Drawing “]
TI141202 – 2 credits


Course Coordinator  : Yudha Prasetyawan, S.T., M.Eng.

Contact Hours           : Monday on Friday (08:00 a.m. – 10:00 a.m.)


Materials – Textbooks, Readings, Supplementary Readings:

  • Gupta, BVR and M Raja Roy. Engineering Drawing. New Delhi: I.K. International Publishing House Pvt Ltd. 2008
  • Groover, Mikell P and E.W, JR., CAD/CAM : Computer Aided Design and Manufacturing, Prentice Hall, 1987.
  • Jensen, C.H., and Helsaed, Fundamentals of Engineering Drawing, Mac Graw Hill Co., 1987.
  • Luzadder, Waren J., Fundamentals of Engineering Drawing (With an Introduction to Interactive Computer Graphic for Design and Production), 9th edition, Prentice Hall, 1986.
  • Sato, Takeshi G., dan N. Sugiharso H., Menggambar Mesin Menurut Standar ISO, Pradnya Paramitha, 1996

 

Course Description:

Production process and product design are two main activities in manufacturing and service industries. Engineering drawing provides visual information about idea, concept and spesification of the product for further production process. Within this subject, students will be introduced and understand about drawing tools, standards to build a complete drawing. Furthermore, students will be equipped with the sufficient capabilities of understanding a complete engineering drawing and exploring for the next production stage (design and manufacturing). Computer Aided Design (CAD) software will be used for the entire subject and its integration with CAD/CAM/CAE.


Course Requirement : Required

Prerequisites              : N/A


Course Topics

  1. Introduction to Engineering Drawing.
  2. Information gathering.
  3. Sketching with drawing equipment.
  4. Projections and dimensioning.
  5. Sectioning.
  6. Tolerances.
  7. Surface texture.
  8. Welding drawing.
  9. Supporting part indication.
  10. Piping and electronic drawing.

Learning Outcomes

After completing this course, students should be able to (the numbering does not necessarily imply any ordering):

  1. understand the role of engineering drawing in making product design and production process
  2. read, find, collect, and understand existing product drawing (information compilation)
  3. elicit idea of product design and make initial sketch (idea generation)
  4. finalise product design concept in line with international standard (concept enhancement)
  5. make product design completely and communicatively (design visualisation) – including application and integration of drawing and modern manufacturing system.
[/nextpage][nextpage title=”Engineering Material Science“] TI141206 – 3 Credits Course Coordinator    : Offered by Materials & Metallurgy Engineering Department Contact Hours    : Wednesday on Friday (09:00 a.m. – 11:00 a.m.) Materials – Textbooks, Readings, Supplementary Readings: –    Lawrence V. Vlack, Material Science and Engineering, Addison Wesley Publishing Company. –    Callister, William D., 2005, Material Science and Engineering, An Introduction, John Wiley and Sons ed. 2 Course Description: This course introduces engineering properties of materials, applying basic principles of the atomic and crystal structure of solids to the study of properties as well as to the selection and use of engineering materials. Course Requirement    : Required Prerequisites        : N/A Course Topics

  • Atomic and molecular structure of materials
  • Imperfections in materials
  • Mechanical properties of materials
  • Dislocations and strengthening mechanisms
  • Failure of engineering materials
  • Phase diagram
  • Phase transformation
  • Applications and processing of metals

Learning Outcomes After completing this course, students should be able to (the numbering does not necessarily imply any ordering):

  1. understand the atomic and molecular structures of engineering materials
  2. understand the mechanical behavior of engineering materials
  3. learn the thermal processing of engineering materials
  4. learn other physical properties of engineering materials
  5. how engineering materials are fabricated and its effect on materials properties. [/nextpage]

[nextpage title=” Introduction to Industrial and System Engineering “] TI141301 – 2 credits   Course Coordinator  : Maria Anityasari, S.T., M.E, Ph.D. Contact Hours           : Monday on Friday (10:00 a.m. – 12:00 p.m.) Materials – Textbooks, Readings, Supplementary Readings: Wignjosoebroto, S. (2003) Pengantar Teknik dan Manajemen Industri, Guna Widya, Surabaya. Turner, W. (1993) Introduction to Industrial and System Engineering, Prentice Hall, New York. Hicks, P. E. (1994) Industrial Engineering and Management: A New Perspective, McGraw-Hill, Tokyo. Daellenbach, H. G. & McNickle, D. C. (2005) Management Science: Decision Making through Systems Thinking, Palgrave Macmillan, New York Course Description: An overview of the profile, profession, employment opportunities and competencies that would be possessed by a graduate of Industrial Engineering is initial foundation that needs to be understood by industrial engineering students. Introduction to Industrial and Systems Engineering gives that overview both hard skill and soft skill, an initial understanding of a system and their interactions, understanding of business systems and business processes occurring within the company in general and the way it is managed, the interaction between the company, as well as an overview of the curriculum and courses that exist in the Industrial Engineering Department. After attending this course, students are expected to understand and be able to explain the basic framework of science in Industrial Engineering, to understand the concept of the system and their interactions, as well as understanding the structure and linkage of Industrial Engineering courses. This course will introduce a variety of teaching methods based on Student-Centered-Learning (SCL) that student actively involved in learning process. Course Requirement : Required Prerequisites              : N/A Course Topics

  • Profile, profession, employment opportunities and competencies of Industrial Engineering
  • Introduction to system Introduction to system modeling CIMOSA Business model Business processes within an enterprise
  • Macro interaction within an enterprise Manage Process: Set Direction, Set Strategy, Direct Business Core Process: Develop Product/Service, Get Order, Fulfill Order, Product Support Support Process: Human Resources Development, Finance/Accounting, Information Technology, Maintenance Curriculum structure of Industrial Engineering and interrelation of the courses

Learning Outcomes After completing this course, students should be able to (the numbering does not necessarily imply any ordering):

  1. understand and to explain the basic framework of science in Industrial Engineering understand and to explain the definition of system and its content
  2. understand, own and to explain the systems thinking have the basic analytical ability in understanding systems and simple business processes
  3. understand the curriculum structure and interrelationships between the courses have team working ability to do simple assignments have basic learning skills include searching, reading, extracting, and presenting information and ideas orally and in writing.
[/nextpage][nextpage title=” Calculus II “] SM141204 – 3 Credits Course Coordinator  : Offered by Mathematics Department Contact Hours           : Tuesday & Friday (09:00 a.m. – 11:00 a.m.) Materials – Textbooks, Readings, Supplementary Readings:

  • Tim Dosen Jurusan Matematika ITS, Buku Ajar Kalkulus 2 , Edisi ke-5 Jurusan Matematika ITS, 2014
  • Anton, H. dkk, Calculus, 10-th edition, John Wiley & Sons, New York, 2012
  • Kreyzig, E, Advanced Engineering Mathematics, 10-th edition, John Wiley & Sons, Singapore, 2011
  • Purcell, J, E, Rigdon, S., E., Calculus, 9-th edition, Prentice-Hall, New Jersey, 2006
  • James Stewart , Calculus, ed.7, Brooks/cole-Cengage Learning, Canada,2012

Course Description: This course discusses about the theory and technique of integral completion and progression. Students equipped with the concept of mathematical thinking so as to support the further course primarily related to the integral, convergence of the series along with its application. The material studied: various techniques simple integration, application integration, and application series. The learning method used is the method of lecture, discussion and resolution of problems as independent and group assignments. Course Requirement : Required Prerequisites              : Calculus I Course Topics

  • Integral particular: a broad sense as the limit of the sum, sum Riemann, certain integral and fundamental theorem of calculus (I), the integration approximation, certain integral relationship with the form of plane geometry and the fundamental theorem of calculus (II).
  • Integration Technique: partial integration, integration of rational functions, integration of trigonometric functions and formulas reduction, integration with trigonometric substitution
  • Applications of definite integrals: basic concepts of broad flat areas, the volume of objects with methods of discs, rings and discs-ring combination, arc length, surface area, center of gravity and theorems of Guldin.
  • The polar coordinates and parametric equations: the relationship between the Cartesian coordinates to polar coordinates, functions in polar coordinates and graph, area and volume in polar coordinates, functions in parametric equations, parametric function derivative.
  • Sequences and infinite series: an infinite row, row monotonous, convergence line, infinite series (arithmetic, geometry, harmonics, etc.), the convergence of series of numbers (including partial sum row, approximation functions with Taylor series, MacLaurin, Binomial)

Learning Outcomes After completing this course, students should be able to (the numbering does not necessarily imply any ordering):

  1. understand the concept of integral and complete it with the right method
  2. apply a particular integral to the problems of area, volume, arc length, surface area, center of gravity
  3. understand the concepts of functions in polar coordinates and parametric equations
  4. understand the concept of convergence of sequences and infinite series
  5. understand and use the power series of a function (MacLaurin and Taylor, Binomial).
[/nextpage] [nextpage title=” English “] IG141108 – 3 credits Course Coordinator   : Offered by General Education Unit (UPMB – UPT Pengelola Mata Kuliah Bersama) Contact Hours           : Tuesday & Thursday (01:00 p.m. – 03:00 p.m.)   Materials – Textbooks, Readings, Supplementary Readings:

  • Becker Lucinda & Joan Van Emden, “Presentation Skills for Students, Palgrave, Macmillan, 2010
  • Bonamy David, “Technical English,” Pearson Education, New York, 2011
  • Fellag Linda Robinson, “College Reading,” Houghton Mifflin Company, 2006
  • Fuchs Marjorie & Bonner Margaret, “ Focus on Grammar; An Integrated Skills Approach,” Pearson Education, Inc, 2006
  • Hague Ann, “ First Steps in Academic Writing,” Addison Wesley Publishing Company, 1996
  • Hogue Ann, Oshima Alice, “Introduction to Academic Writing”, Longman,1997
  • Hockly Nicky & Dudeney Gavin, “How to Teach English with Technology, Pearson Education Limited, 2007
  • Johnston Susan S, Zukowski Jean/Faust, “Steps to Academic Reading,” Heinle, Canada, 2002.
  • Mikulecky, Beatrice S, “Advanced Reading Power”, Pearson Education, New York, 2007.
  • Preiss Sherry, “NorthStar: Listening and Speaking,” Pearson Education, New York 2009.
  • Root Christine & Blanchard Karen, “ Ready to Read Now, Pearson Education, New York, 2005

Course Description: In this course, students will learn about the basic concepts of language skills including listening skills, speaking, reading and writing. In addition, students apply the basic concepts of the language skills to express ideas and thoughts in oral and in written in the academic life as well as empirical insights especially related to science and technology. Course Requirement : Required Prerequisites              : N/A   Course Topics

  • Intensive and Extensive Reading related to Science and Technology Issues
  • Previewing
  • Making Inferences
  • Understanding Paragraphs
  • Patterns of Organization
  • Skimming and Scanning
  • Summarizing
  • Critical Reading
  • Speaking and academic presentation related to Science and Technology
  • Expressing and soliciting opinions
  • Agree and disagree with opinions
  • Academic Presentations:
  • Understanding audience
  • Brainstorming
  • Organizing
  • Delivering
  • Communicating Visually
  • Handling questions
  • Listening Various Genres
  • Listen to daily talks
  • Listen to academic talks and lectures
  • Writing Various Genres
  • Building good sentences
  • Building paragraphs
  • Building academic essays: narrative, descriptive, argumentative.

Learning Outcomes After completing this course, students should be able to (the numbering does not necessarily imply any ordering):

  1. understand material course delivered by lecture in English
  2. speak and to provide opinion, argumentation, question, answer, and interruption which is appropriate to the context
  3. read actively and critically while understanding reading contents (content aspects, text features, as well as author attitudes: tone and purpose)
  4. write by developing sentences, paragraphs, and essay based on writing types (narrative, descriptive, and argumentative); as well as ideas development regarding unity and coherency aspects
  5. work in a team while discussing problem
  6. present ideas and work results well in English.
[/nextpage] [nextpage title=” Basic Algorithms and Programming “] TI141204 3 Credits   Course Coordinator  : Offered by Informatics Engineering Department Contact Hours           : Monday & Wednesday (01:00 p.m. – 03:00 p.m.) Materials – Textbooks, Readings, Supplementary Readings:

  • Rinaldi Munir, “Algoritma dan Teknik Pemrograman”, Andi Yogyakarta
  • Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, Clifford Stein, “Introduction to Algorithm”, The MIT Press, Cambridge, Massachusetts London, England.

Course Description: This course discusses about how to solve the problems Computation/optimization by creating programming algorithms and then implement it into the programming language Course Requirement : Required Prerequisites              : N/A Course Topics

  • Indonesian National History
  • Algorithms and Flowchart
  • The types of data
  • The structure of loop / loop While-Do, Repeat-Until and For,
  • Make use conditions IF and CASE
  • Procedure
  • Function
  • Array
  • Mechanical Divide & Conquer
  • Recursion
  • Applications for optimization case: steepest descent, Newton method

Learning Outcomes After completing this course, students should be able to (the numbering does not necessarily imply any ordering):

  1. explain the meaning of the algorithm, the properties of an algorithm, the usefulness of the flowchart, can make a flow chart of a troubleshooting
  2. understand and are able to explain a wide variety of data types, constants, variables, and expressions
  3. explain the concept of use to distinguish the use of looping structure
  4. mention the various statements of selecting conditions, a common form of the condition
  5. explain the parameters shipment value, the delivery parameters of reference, how procedure call another procedure, make a simple program using the procedure
  6. explain the formation of the function without parameters, the delivery parameters in function, call the nested procedure
  7. explain the meaning of the array, made a declaration of array data type, either one-dimensional or two dimensional
  8. understand the recursive technique
  9. understand the algorithm divide and conquer and what is included in a divide and conquer algorithm, Binary Search algorithm and apply it to the problem, Quick Sort algorithm.
[/nextpage] [nextpage title=” Basic Physics II “] TI1412052 Credits Course Coordinator  : Offered by Physics Department Contact Hours           : Tuesday & Friday (09:00 a.m. – 11:00 a.m.) Materials – Textbooks, Readings, Supplementary Readings:

  • Alonso & Finn,”Fundamental University Physics”, Addison Wesley Pub Comp Inc,13`.ed, Calf, 1990.
  • Giancoli, DC, (terj, Yuhilza H), ‘Fisika, jilid 1′, Erlangga, Jakarta, 2001.
  • Halliday & Resnic; ‘Fundamental of Physics’. John Wiley and Sons, New York, 1987.
  • Petunjuk Praktikum Fisika Dasar”, Fisika, MIPA-ITS
  • Tim Dosen, “Diktat Fisika II”, ”Soal-soal Fisika II”, Fisika FMIPA-ITS
  • Tipler, PA,(terj. L Prasetio dan R.W.Adi), “Fisika: untuk Sains dan Teknik, Jilid 1″, Erlangga, Jakarta, 1998.

Course Description: Basic Physics 2 is given to equip all students in order to understand the events or phenomena of nature along with the basic laws of physics electricity and magnetism. This course is intended to provide an understanding of the principles and basic concepts of physics related to electricity and magnetism, to resolve the problems of basic physics through theoretical studies and demonstrations. Presentation will explain the basic concepts of physics of electricity and magnetism in the form of a simple math problem followed by examples and applications. This course is equipped with a lab, so that students can perform physical property measurements correctly, lab can analyze the data, and can be poured in the form of a scientific paper. After following this course, students are expected to analyze the symptoms of electricity and magnetism by using existing laws, and can analyze an electrical circuit. Course Requirement : Required Prerequisites              : N/A Course Topics

  • Coulomb’s Law & Electric charge
  • Electric field: a strong electric field, lines of force, electric field strength calculation
  • Gauss’s law: flux, Gauss law and its application; Potential electric potential energy, electric field and potential
  • Capacitors: capacitance, dielectric; Electric current: the flow and movement of cargo, Ohm’s law, energy in electrical circuits
  • Direct current circuits: Kirchoff’s laws, RC circuit
  • Magnetic field: the magnetic force, torque force, the source of the magnetic field
  • Magnetic induction: magnetic flux, GGL induction generator;
  • Alternating currents: alternating current in resistors, inductors, capacitors, circuit RL, RC, RLC

Learning Outcomes After completing this course, students should be able to (the numbering does not necessarily imply any ordering):

  1. explain and use formulation of the physical laws of the electric field and magnetic field
  2. solve the related problems
  3. understand and follow the development of science and technology
  4. apply the basics of physics electric magnet in other fields
[/nextpage] [nextpage title=” Engineering Mechanics “] TI1412062 Credits Course Coordinator  : Offered by Mechanical Engineering Department Contact Hours           : Wednesday & Friday (09:00 a.m. – 11:00 a.m.) Materials – Textbooks, Readings, Supplementary Readings:

  • Mekanika Teknik: Statika Jilid 1. RC Hibbeler. 1997.
  • Mekanika Teknik: Statika Jilid 2. RC Hibbeler. 1997.
  • Schaum’s Outline of Theory and Problems Of Engineering Mechanics – Statics And Dynamics. Fifth Edition. E.W. Nelson, C.L. Best, W.G. McLean. McGraw-Hill. 1998.

Course Description: This course is intended the students to develop the ability, in the engineering student, to understand, formulate, and solve a given problem in a logical manner and to apply it to solve a few basic problems in engineering mechanics Course Requirement : Required Prerequisites              : Basic Physics I Course Topics

  • Static equilibrium of particles and rigid bodies
  • Analysis of trusses and friction
  • Properties of surfaces and volumes
  • Dynamic equilibrium of particles
  • Dynamic equilibrium of rigid bodies.

Learning Outcomes After completing this course, students should be able to (the numbering does not necessarily imply any ordering):

  1. understand and use physics basic laws (Newton Law I, II and III)
  2. calculate and analysis basic vector forces and several static equilibrium of particles and rigid bodies
  3. calculate the dynamic equilibrium of particles and rigid bodies.
[/nextpage] [nextpage title=” Engineering Statistics I “] TI141302 – 3 credits Course Coordinator  : Dody Hartanto, S.T., M.T Contact Hours           : Tuesday on Friday (01:00 p.m. – 03:00 p.m.)   Materials – Textbooks, Readings, Supplementary Readings:

  • David F. Groebner, Patrick W. Shannon, Phillip C. Fry and Kent D. Smith, “Business Statistics: A Decision Making Approach”, Prentice Hall, 8th Edition,2010.
  • Ronald E. Walpole, Raymond H. Myers, Sharon L. Myers and Keying Ye, “Probabilitiy and Statistics for Engineers and Scientists”, Pearson Prentice Hall, 8th edition, 2007

Course Description: Industrial statistics 1 discusses statistical methods that can be used to solve industrial problems. Topics covered include types of data, descriptive statistics (numeric and graphic), probability distribution (discrete and continuous), sampling distributions, sampling methods, parameter estimation and confidence interval. Course Requirement : Required Prerequisites              : N/A   Course Topics

  1. Introduction to industrial statistics
  2. Descriptive Statistics
  3. Data type
  4. Method of data collection
  5. Measures of central tendency and variability
  6. Graphical methods for describing data.
  7. Inferential Statistics
    1. Probability theory
    2. Discrete Probability Distribution
    3. Continuous probability distribution
    4. Sampling Method
    5. Sampling distributions
    6. Point estimation of parameters
    7. Confidence Interval

Learning Outcomes After completing this course, students should be able to (the numbering does not necessarily imply any ordering):

  1. apply descriptive statistics in analyzing data
  2. utilize the basic of inferential statistics (such as: probability distribution, sampling, point estimation, and confidence interval) to solve industrial problem
  3. utilize statistical software package skillfully.
[/nextpage][nextpage title=” Cost Analysis and Estimation “] TI141207 – 2 credits   Course Coordinator  : Dr. I Ketut Gunarta Contact Hours           : Tuesday on Thursday (09:00 a.m. – 11:00 a.m.) Materials – Textbooks, Readings, Supplementary Readings: Warren et al., Accounting 21th, Thomson Learning, 2010. Hilton, Managerial Accounting: Creating Value in a Dynamic Business Environment, 9/e, Mc Graw Hill, 2011. Course Description: An industry must be able to perform its operations in a profitable way to survive. If the industry can’t maintain its profits at a reasonable level, then gradually the industry would be out of business. To maintain a viable level of profit, the industry must be able to manage costs and expenses as a consequence of the operations performed. This course will provide knowledge, techniques, and insights related to the activities of collecting, analyzing, evaluating, and reporting of cost information that is used as data for budgeting, estimation, forecasting and controlling costs. Through this course, students are expected to understand the costs which are accumulated during the production process in various types of manufacturing and services industries and have the ability to perform estimation and calculation of production costs, documented in accordance with the accounting system standard and interpret the reports generated. Course Requirement : Required Prerequisites               : Introduction to Industrial and System Engineering Course Topics Industrial activities cycle and accounting process, Financial Transactions, Adjustment entries, Accounting cycle and Transaction Accounting information system, Inventory calculation and assessments, Cost concepts and behavior, Job order costing, and process costing, Activity based costing, Activity based management, Cost estimation, Profit planning and control. Learning Outcomes After completing this course, students should be able to (the numbering does not necessarily imply any ordering): comprehend the cycle of industrial activity and its relation to the accounting process thus able to use basic accounting equation to explain the relevance between them perform the recording, preparation, adjusting, reporting and interpretation of financial statements for various types of industries define and illustrate various cost terms and concepts and evaluate their relevancy for different decision-making purposes describe and use the traditional types of product costing systems such as job-order and process explain the impact of technology on the manufacturing environment and its implications for product costs and development of activity based costing and management explain and use a variety of approaches and methods in making estimates of product costs and determining standard costs construct a financial model for profit planning and control purposes identify the basic economic events most common in business operations and perform an assessment on the impact of these events to the financial performance. [/nextpage][nextpage title=” Optimization Mathematics “] TI141208 – 3 credits Course Coordinator  : Prof. Budi Santosa, MS., Ph.D. Contact Hours           : Monday on Friday (08:00 a.m. – 11:30 a.m.) Materials – Textbooks, Readings, Supplementary Readings:

  1. Howard Anton: Elementery linear algebra 9th Edition, John Wiley
  2. A. Ravindran, K.M ragsdel,G.V. Reklaitis : Engineering Optimization, John Wiley, 2006

Course Description: The course provides students with basic techniques of linear algebra as well as searching techniques for nonlinear single variabel function, including topics related to vectors, matrices, vector spaces and subspaces, linear transformations and numerical analysis technique. Course Requirement : Required Prerequisites              : N/A Course Topics

  • Linear equation system:back substitution, gauss elimination, gauss Jordan
  • Matrix and its Operations: types of matrix, matrix Operations, Matrix Invers,
  • Linear equation system: elementaryy row operations, homogen linear equation system, matrix determinant
  • Determinant: determinant function, determinant with row reduction, determinant funtion characteristics.
  • Cofactor expansion and Cramer rule
  • Vector for 2 and 3 dimension space: Norm, Distance, Cross product, Dot product, Lines and planes, Geometry determinants, Evaluation
  • General vector space: Euclidean Vectors space, Inner product space, basic and dimension, linear independent, rank matriks
  • Eigen value and Eigen vector: Eigen value, Eigen Vector, Diagonalisation, Diagonalisation orthogonal
  • Linear transformation
  • Aljabar linier application: Geometric linear programming, Markov chain
  • Aljabar linier application: forest management, leontief economic models
  • Types of optimation and formulation: linear, nonlinear, discrete, integer, evaluation
  • Optimalisation criteria for single variable fungtion
  • Analysis numerik fungtion for single variabel : interval halving, Fibonacci

  Learning Outcomes After completing this course, students should be able to (the numbering does not necessarily imply any ordering):

  1. explain basic concept and solve linear equation system concept of span and linear combination
  2. understand and and be able to do: basic operations of matrix: addition, basic elementer row operation, compute determinant and inverse
  3. perform linear transformation operations
  4. understand concept of eigen value and eigen vector and how to find them
  5. understand concept and be able to do QR decomposition
  6. understand concept of coordinate, basis and dimension
  7. solve nonlinear optimization problem using numerical analysis
[/nextpage][nextpage title=” Industrial Automation “] TI141209 – 3 Credits   Course Coordinator  : Putu Dana Karningsih, S.T., MEngSc, PhD Contact Hours           : Tuesday on Friday (09:00 a.m. – 11:00 a.m.) Materials – Textbooks, Readings, Supplementary Readings:

  • understand the importance of automation in supporting manufacturing and service industry
  • Groover, MP 2001, Automation, Production Systems, and Computer
  • Integrated Manufacturing, 2nd edition, Prentice Hall, New Jersey Soloman, S 1994,
  • Sensors and Control Systems in Manufacturing, McGraw-Hill, New York Toncich, DJ 1993,
  • Data Communications and Networking for Manufacturing Industries, Chrystobel Engineering, Brighton Toncich, DJ 1994,
  • Computer Architecture and Interfacing to Mechatronic Systems, Chrystobel Engineering, Brighton
  • http://oeiwcs.omron.com/
  • http://www.autodev.com/ADI_Catalog/I1.htm
  • http://www.roboticsonline.com;
  • http://www.seikorobots.com

Course Description: A modern industry always develop not only its technology, but also human resources. In this globalization, both manufacturing and service industries have to make some innovations in term of the use of technology, starting from manual process happened in the past, to fully automated system. An engineers as its human resources should have the ability to operate automated tools and equipment, moreover they are able to design an aoutomated system especially in shop floor. This course provides an understanding about automation functions and implementation for industries. Course Requirement : Required Prerequisites              : N/A Course Topics Automation for industries. Automation logic. Automation components (sensor, actuator, and other system components). Industrial control system. Electronics and microprocessor. Discrete control using PLC. Computer, NC and CNC. Industrial robotics. Automation design. Automation application. Computer integrated manufacturing. Learning Outcomes After completing this course, students should be able to (the numbering does not necessarily imply any ordering):

  • understand the importance of automation in supporting manufacturing and service industry
  • understand automation system building block, automation logic, basic of microprocessors
  • understand control system in an industrial automation identify requirement to build automation system in an industry as well as conducting technical and economic analysis design and develop a simple prototype of automation system in a production process/a sub system of production system.
[/nextpage][nextpage title=” Manufacturing Process “] TI141303 – 3 Credits   Course Coordinator  : Yudha Prasetyawan, S.T., MT Contact Hours           : Monday on Friday (08:00 a.m. – 10:00 a.m.) Materials – Textbooks, Readings, Supplementary Readings:

  • De Garmo, E.P.D. 1979. Material and Processes in Manufacturing. New York, Collier Mc Millan Publ.
  • Geough, JA. (1988), Advanced Methods of Machining, First Edition, Chapman and Hall Ltd.
  • Gershwin, Stanley B. (1994), Manufacturing System Engineering. Prentice Hall.
  • Groover, M.P. 2002. Fundamentals of Modern Manufacturing, Prentice Hall
  • Groover, M.P. Automation, Production Systems, and Computer Integrated Manufacturing, Prentice Hall.
  • Kalpakjan, Seroke (1995). Manufacturing Engineering and Technology, 3rd edition, Addison-Wesley Pub. Company.
  • Modul Ajar Mata Kuliah Proses Manufaktur hasil DUE-LIKE.
  • Pandey, PC. (1983), Modern Manufacturing Processes, Second Edition. Mc. Graw Hill Publishing Company Ltd.
  • Schey, John A. (1987). Introduction to Manufacturing Process, 2nd edition, Mc Graw-Hill Book Co.

Course Description: Manufacturing is a process to make a product from raw material through production activities involving technologies. An Industrial Engineer has to understand manufacturing process that common used in industries, analyze the process, and design an improvement for existing condition. This course provides an understanding about manufacturing processes especially to produce discrete part and product components, also design for manufacture for getting better process to increase process efficiency and high productivity. Course Requirement : Required Prerequisites              : N/A Course Topics Introduction to manufacturing process. Metal casting. Casting processes. Formation and deformation. Sheet metalworking. Powder metallurgy. Plasti Maching principles. Time machining and Selection Process. Machining tools and equipment design. Non Traditional Machining (NTM). Joining and fastening process. Advanced Manufacturing Technology. Learning Outcomes After completing this course, students should be able to (the numbering does not necessarily imply any ordering):

  1. understand basic principles of casting, conventional machining, formation and deformation for metals and plactics.
  2. understand advance manufacturing technology as an improvement of traditional machining in modern industries
  3. understand the benefit and disbenefit of each manufacturing process identify, collect, and interpret data in manufacturing process technology analyse the need of manufacturing process resources and technical aspects through transforming product design into finished good, both for metal and plastic material.
[/nextpage][nextpage title=” Engineering Statistics II “] TI141304 – 3 Credits   Course Coordinator  : Dr.Eng Erwin Widodo, S.T., M.Eng Contact hours            : Monday on Friday (10:00 a.m. – 12:00 p.m.) Materials – Textbooks, Readings, Supplementary Readings:

  • David F. Groebner, Patrick W. Shannon, Phillip C.Fry dan Kent D. Smith, “Bussiness Statistics: A Decission Making Approach”, Prentice Hall, 8th Edition, 2010.
  • Ronald E. Walpole, Raymond H. Myers, Sharon L. Myers and Keying Ye, “Probabilitiy and Statistics for Engineers and Scientists”, Pearson Prentice Hall, 8th edition, 2007.

Course Description: Data analysis is absolutely needed to solve industrial problems. To give solution to this problem, students need strong analytical skill. Industrial Statistics I and II give understanding and set up comprehensive ability to fulfill this need. Industrial Statistics II is a continuation of its predecessor Industrial Statistics I. Industrial Statistics II mainly emphasizes on comprehending inferential statistics including hypothesis test, analysis of variance, correlation analysis, regression analysis, goodness of fit, contingency table and non-parametric statistics. By mastering these topics, students are expected to have sufficient knowledge and strong analytical skill especially in inferential process (how to estimate population parameter based on sample data) in the shake of completing their further courses, on job training, or undergraduate thesis. Course Requirement : Required Prerequisites              : Engineering Statistics I Course Topics

  • Introduction to Engineering Statistics II and review of Engineering Statistics I
  • Hypothesis test
  • Analysis of variance
  • Correlation analysis
  • Regression model and analysis for single variable
  • Multivariable regression
  • Goodness of Fit Test
  • Contingency table (cross tabulation analysis)
  • Non-parametric statistics

Learning Outcomes After completing this course, students should be able to (the numbering does not necessarily imply any ordering): understand inference statistics apply inference statistics methods on industrial problems apply Statistical Software Package for Inference Statistics. [/nextpage][nextpage title=” Industrial Ergonomics “] TI141305 – 3 Credits   Course Coordinator  : Arief Rahman, S.T., MSc Contact Hours           : Wednesday on Friday (08:00 a.m. – 10:00 a.m.) Materials – Textbooks, Readings, Supplementary Readings:

  • Tayyari, Fariborz and Smith, James L. (1997). Occupational Ergonomics: Principles and Applications. Chapman & Hall, London
  • Salvendy, G. (2012). Handbook of Human Factors and Ergonomics, 4th edition, John Willey and Sons. Wickens, C.D., Gordon, S.E., Liu, Y., (2003). An introduction to human factors engineering Pearson, 2nd edition, Pearson Ltd.
  • Granjean, E. (1982). Fitting the Task to the Man: an Ergonomic Approach.Taylor & Fabrics Ltd.
  • Huchingson, Dale R. (1981). New Horizons for Human Factors in Design.McGraw-Hill Book Company.
  • Konz, Stephan. (1995).Work Design: Industrial Ergonomics. ScottsdalePublishing Horizons, Inc.
  • Pulat, B. Mustafa. (1992).Fundamentals of Industrial Ergonomics. Prentice-Hall.
  • Sanders, M.S. and McCormick, E.J. (1992). Human Factors in Engineering and Design.McGraw-Hill Inc.

Course Description: Industrial Ergonomics is a subject which is designed to provide knowledge and ability for student in order to improve the processes or work equipment related to ergonomics principles. The object of discussion will related to improvement of human interaction quality by considering humans, machines, labor, environment, systems and organizations. Industrial Ergonomics notice various human abilities, strengths and weaknesses in improving the work interaction. Industrial Ergonomics aims to design a work environment with all component working systems to achieve higher productivity with effective, convenient, safe, health, and efficient (ENASE).   Course Requirement : Required Prerequisites              : Industrial Statistics I Course Topics

  • Introduction to industrial Ergonomics & principles
  • Industrial Ergonomics Roadmap
  • Human-Machines System
  • Physical Ergonomics
  • Anthropometry
  • Biomechanics
  • Body Rhythm
  • Cognitive Ergonomics
  • Display and Control Design
  • Information Ergonomics
  • Environmental Factor in Ergonomic evaluation
  • Work Schedule and Design Shift
  • Work Laboratory activities

Learning Outcomes After completing this course, students should be able to (the numbering does not necessarily imply any ordering):

  1. explain the basic concept and data of Ergonomics study
  2. explain basic data in ergonomics analysis
  3. analyze human body posture and working mechanism effective, efficient and safely
  4. analyze the human interaction in work system
  5. analyze human abilities and limitations in avoiding the error
  6. analyze the environmental factors in effective and efficient work system
  7. understand the development of ergonomic concept in various application and technology
  8. use concept and method of ergonomic evaluation to improve work system directly.
[/nextpage][nextpage title=” Industrial Ecology “] TI141210 – 2 Credits Course Coordinator  : Prof. Udisubakti Ciptomulyono, Ph.D. Contact Hours           : Tuesday & Friday (09:00 a.m. – 11:00 a.m.) Materials – Textbooks, Readings, Supplementary Readings:

  • G.T. (2004). Living in the Environment Principles, Connections and Solution.13th, Thomson Learning.
  • Kristanto, P. (2012). Ekologi Industri. Penerbit Andi. Jogjakarta.
  • Allenby, B., Graedel TE. (1993). Industrial Ecology, Prentice Hall. New York.

Course Description: This course provides an understanding about interrelation among human activities, industries, technological aspect, social system and natural resources. So that students have the important role and function to keep environment sustainability, able to adapt and give a solution consider to environmental aspect for any kind of industrial activities. Course Requirement : Required Prerequisites              : N/A Course Topics

  • Environment system concept
  • Energy, natural resource and development
  • Environment waste
  • Green industry
  • Eco industrial park concept

Learning Outcomes After completing this course, students should be able to (the numbering does not necessarily imply any ordering):

  1. explain the concept of eco-system
  2. be aware of impacts the interrelated between man and ecosystem, technology, natural recourses due to human activities
  3. understand and to explain the concept of ‘sustainable development”, recent on issues of national, global issue of climate change and environmental problems
  4. understand and to present of Industrial Ecology concept
  5. relate and identify an environmental aspect and environmental impact of an activity especially for activity industries starts from cradle to gravel (input material to end of life production)
  6. understand and present the principles of environmental management system including introduction of life cycle assessment
  7. design and being innovative in response for solving the environmental issues
[/nextpage] [nextpage title=” Thermodynamics “] TI1412112 Credits   Course Coordinator  : Mechanical Engineering Lecturer Contact Hours           : Wednesday & Friday (09:00 a.m. – 11:00 a.m.) Materials – Textbooks, Readings, Supplementary Readings:

  • Cengel and M.Boles, Thermodynamics, An Engineering Approach, 7th Ed. McGraw-Hill Book Company, 2011.
  • Property Table to Accompany 7th McGraw Hill, 2011
  • Software: EES, McGraw-Hill.

Course Description: Topics include the basic laws of thermodynamics, properties of fluids and solids, analysis of open and closed systems, gas and vapor power cycles, refrigeration and air conditioning, and an introduction to heat transfer. Course Requirement : Required Prerequisites              : Calculus I, Calculus II, Basic Physics I Course Topics

  • Introductory concepts and definitions
  • The first law of thermodynamics, energy transfers – work and heat
  • Ideal gases
  • Thermodynamic properties of pure substances, including the use of steam and other table
  • First law analysis for open systems, steady and transient processes
  • The second law of thermodynamics and entropy
  • Air conditioning processes
  • Power and refrigeration cycles
  • Heat transfer
  • Tests plus final exam

Learning Outcomes After completing this course, students should be able to (the numbering does not necessarily imply any ordering):

  1. apply the first law of thermodynamics to a variety of physical problems
  2. apply the second law of thermodynamics to a variety of physical problems
  3. determine the properties by use of equation or tables
  4. use computer software to determine desired properties
  5. analyze systems that possess various energy conversion components
  6. analyze simple applications involving conduction, convection and radiation.
[/nextpage][nextpage title=” Engineering Economics “] TI141306 – 3 Credits Course Coordinator  : Naning Aranti Wessiani, S.T., M.M Contact Hours           : Wednesday on Friday (01:00 p.m. – 03:00 p.m.) Materials – Textbooks, Readings, Supplementary Readings:

  • Engineering Economic Analysis by Donald G. Newnan, Ted G. Eschenbach and Jerome P. Lavelle (Feb 26, 2004)
  • Contemporary Engineering Economics (5th Edition) by Chan S. Park (Jan 13, 2010)

Course Description: Engineering economics aims to study and analyze the economic impact of the engineering solutions or decision makings. The economic analysis includes the calculation and comparison between benefit and cost that incurred in the implementation of engineering solutions. The solution is economic valuable when the benefit is higher than its cost. The commercial and non-commercial institution, such as government and non profit organizations, will select the solution that has the best economic value. Engineering economics course will equip the student with the ability to conduct economic analysis through delivering concepts and methods in analyzing the economic value of the engineering decision so that can be implemented in real life problems. Course Requirement : Required Prerequisites              : Cost Estimation and Analysis Course Topics

  • Fundamental Principle of Engineering Economics
  • The Concept of Value, Cost, Cash Flow, and Time Value of Money
  • The Concept of Interest
  • The Economic Equivalence
  • The Concept of Inflation
  • The Method for Comparing the Economic Value of Engineering Decisions : NPV, ROR, Payback Period, Benefit Cost Ratio
  • The Sensitivity Analysis
  • The Risk Analysis
  • Depreciation
  • Tax
  • The Replacement Analysis

Learning Outcomes After completing this course, students should be able to (the numbering does not necessarily imply any ordering):

  1. understand and explain the concepts of value, cost, and time value of money
  2. model the cash flow of engineering decisions
  3. understand the interest concept and use interest table and formula to calculate the economic equivalence of engineering decisions
  4. understand and explain the concept and impact of inflation to cash flow of technical alternatives
  5. understand and use the methods for calculating and comparing the economic value of engineering decisions, such as equivalent worth method, internal rate of return, payback period, and benefit cost analysis
  6. conduct sensitivity and risk analysis for analyzing the impact of uncertainty to the feasibility of engineering decision
  7. understand the concept of depreciation and calculate the depreciation cost by using the appropriate method, suach as straight line, declining balance, sum of years digit, unit production, and MACRS
  8. understand and conduct replacement analysis for engineering assets
  9. use software application or excel functions to calculate economic value of engineering decisions.
[/nextpage][nextpage title=”Method Study and Work Measurement“] TI141308 – 3 Credits   Course Coordinator  : Dr. Sri Gunani Partiwi Contact Hours           : Thursday on Friday (09:00 a.m. – 11:00 a.m.) Materials – Textbooks, Readings, Supplementary Readings:

  • Barnes, M.R., Motion and Time Study: Design and Measurement of Work, 7th edition, New York: John Wiley and Sons, 1980.
  • Wignjosoebroto, S., Ergonomi: Studi Gerak dan Waktu, 2006, Guna Widya, Surabaya.
  • Kohnz, S.A., Work Design, Fourth Edition, 1979, Grid Publication.
  • Mundel, M.E., Danner, D.L., Motion and Time Study: Improving Productivity, 1994, Prentice Hall.
  • Relevant journal.

Course Description: “There is always a better working method” of each operation process. This principle is the basis of continuous improvement in the production floor. Increasing the process effectiveness and efficiency become the focus of improvement, which will ultimately increase productivity. The improving process begins by defining overall production system and waste identification. The waste may occur are overproduction, inventory, transportation, motion, defect, time and process. Method study, including motion and work study was conducted in order to get better working method and minimize waste. Motion study will study motion study arrangement to get effective and efficient working method based on human strengths and weaknesses. While time study was conducted through work measurement. Various work measurement was studied, both direct and indirect in order to be properly applied to various problems. Further analysis of work measurement result was conducted to provide recommendation for productivity improvement. Course Requirement : Required Prerequisites              : N/A Course Topics

  • Production process, Productivity and Value.
  • Motion Study and Time Study for Lean Manufacturing.
  • Operation analysis and principles of motion economy.
  • Techniques of Macromotion Study.
  • Technique of Micromotion Study.
  • Predetermined Time Standards Systems (PTSS).
  • Stopwatch Time Study.
  • Work Sampling.
  • Line Balancing.
  • Standard Data.
  • Work design and analysis.
  • SMED (Single Minutes Exchange Dies)
  • Financial Compensation.

Learning Outcomes After completing this course, students should be able to (the numbering does not necessarily imply any ordering):

  1. have basic knowledge about the method study and work measurement
  2. analyze the process and result of work measurement to recommend payment and incentive system
  3. implement work measurement method for real problem.
[/nextpage][nextpage title=” Operations Research I “] TI141307 – 3 Credits   Course Coordinator  : Nurhadi Siswanto, Ph.D. Contact hours            : Monday on Friday (09.00 a.m. – 11:00 a.m.) Materials – Textbooks, Readings, Supplementary Readings:

Course Description: Every business and industry naturally seeks the best design and operation under scarce resource allocations. Thus, the decision making process is critical to find the best solution. This course deals on the scientific approach to decision making which involves the use of mathematical models. This course discusses the theoretical background and formulation of the mathematical models and the solution method, such as graphical method, simplex method as well as sensitivity analysis. The applications of the model in solving business and industry problems are also presented and discussed, such as transportation and network models. Course Requirement : Required Prerequisites              : Optimization Mathematics Learning Outcomes After completing this course, students should be able to (the numbering does not necessarily imply any ordering):

  1. Students can identify the decision variables, objective function and constraints as mathematical models of varies business and industrial problems.
  2. Students can use optimization software such as Lindo, Lingo, or GAMS for solving the mathematical model and interpret the results.
[/nextpage][nextpage title=” Project Management “] TI141309 – 2 Credits Course Coordinator  : Dr. I Ketut Gunarta, M.T Contact Hours           : Tuesday & Thursday (09:00 a.m. – 11:00 a.m.) Materials – Textbooks, Readings, Supplementary Readings:

  • Clifford Gray and Erik Larson, Project Management: The Managerial Process 5th, Clifford Gray and Erik Larson, McGraw-Hill, 2010.
  • Kerzner, Project Management: A Systems Approach to Planning, Scheduling, and Controlling 11th, John Wiley, 2013.

Course Description: Currently, project management is getting more important. Planning, execute and controlling a project is relatively difficult due to its complexity of various aspects such as time, cost, resources, goal achievement measurement, and many more. This lecture will provide students with understanding on planning, scheduling, organizing and project control on product development projects, constructions, system information, new business and other important events. The focus will be on project’s management processes and important tools use to manage a project. The understanding on project management concepts and techniques will provide students with a competitive advantage to compete in engineering fields of work and/or other fields.   Course Requirement : Required Prerequisites               : Introduction to Industrial and System Engineering Course Topics

  • Introduction
  • Organization Strategy and Project Selection
  • Project Management Organization
  • Defining a Project
  • Estimating Project Time and Costs
  • Project Networks
  • Project Risk Management
  • Resource & Cost Scheduling
  • Reducing Project Time
  • Leadership: Be in an Effective Project Manager
  • Managing Project Teams
  • Managing Inter-organizational Relation
  • Project Closure

Learning Outcomes After completing this course, students should be able to (the numbering does not necessarily imply any ordering):

  1. explain the main processes of project management and the importance of integration between the organizational strategy and project management
  2. explain the sub-systems in a project management system that determines the success of the project management
  3. describe and apply the concepts and techniques in project planning as a basis for controlling project
  4. prepare project control instruments and measure the performance of the project
  5. apply the concepts, techniques and decision-making tools available for managing projects
  6. identify the risk factors faced by the project and choose the model of analysis, evaluation and management of project risks
  7. recognize the potential conflicts and problems that can occur on the project
  8. identify critical aspects of human behavior that determine the success of the project management
  9. use computer-based information system for managing projects effectively and efficiently.
[/nextpage][nextpage title=” Manufacturing System “] TI141310 - 4 Credits Course Coordinator  : Prof. Udisubakti Ciptomulyono Contact Hours           : Tuesday & Friday (09:00 a.m. – 11:00 a.m.) Materials – Textbooks, Readings, Supplementary Readings:

  • Groover, M.P 2001, Automation, Production Systems, and Computer Integrated Manufacturing, Prentice Hall
  • Boothroyd, G 1992, Assembly Automation and Product Design, Marcel Dekker Inc., New York.
  • Lotter, B 1989, Manufacturing Assembly Handbook, Butterworths

Course Description: Manufacturing system as a part of company system have to be designed and well controlled, so that the company can fulfill all customer needs, produce qualified products with short time delivery. Furthermore company has longer life time and high developed. An industrial engineer is prepared to solve real problems both in manufacturing and service industries. Manufacturing system course is designed for providing that competencies to the graduates. This course aims to make students understand about the components of a manufacturing system, manufacturing operations and steps to make some improvements.   Course Requirement : Required Prerequisites                : Manufacturing process, Industrial automation Course Topics

  • Intoduction and architecture of manufacturing system.
  • Manufacturing system planning (utility, production rate, availability).
  • Product design in manufacturing system.
  • Material handling and inventory control.
  • Automated Data Captured.
  • Assembly system.
  • Production layout (single station manufacturing cells, group technology, cellular manufacturing, flexible manufacturing system).
  • Specific concept in manufacturing system (just in time, lean production, agile, reconfigurable manufacturing system, virtual manufacturing, intelligent manufacturing system).
  • Manufacturing system planning and control (Manufacturing Planning and Control – Enterprise Resource Planning)

Learning Outcomes After completing this course, students should be able to (the numbering does not necessarily imply any ordering):

  1. understand field of study in manufacturing system and the relevance of its components
  2. define operational parameters of a manufacturing system
  3. explain the function of each manufacturing components
  4. analyse how the manufacturing operates as an integrated system
  5. design a manufacturing system with less complexity and its operational explanation
  6. explain another important (support) aspects for implementing manufacturing system design
  7. utilize support aspects in increasing operational parameters of their manufacturing system design.
[/nextpage][nextpage title=”Technological Knowledge Scientific Writing”] IG141107 – 3 Credits   Course Coordinator   : Offered by General Education Unit (UPMB – UPT Pengelola Mata Kuliah Bersama) Contact Hours             : Tuesday & Thursday (08:00 a.m. – 10:00 a.m.) Materials – Textbooks, Readings, Supplementary Readings:

  • Alfred Watkins and Michael Ehst, “Science, Technology and Innovation: Capacity Building for Sustainable Growth and Poverty Reduction”, The International Bank for Reconstruction and Development, Washington DC, 2008.
  • Frieder Meyer Krahmer, “Innovation and Sustainable Development-Lessons for Innovation Policies,” A Springer-Verlag Company, Heidelberg, 1998.
  • Miller Jr. G.T. and Spoolman, S., “Environmental Science,”13th, Brooks/Cole, Belmont CA, 2008
  • Tim Pengembang Mata Kuliah Wawasan Teknologi dan Komunikasi Ilmiah, “ Wawasan Teknologi”, ITS Press, Surabaya, 2014.
  • Tim Pengembang Kemampuan Komunikasi Ilmiah, “Komunikasi Ilmiah”, ITS Press, Surabaya, 2014.
  • Tim BPPT, “Naskah Akademik Buku Putih Penguatan Sistem Inovasi Nasional,” Deputi Bidang Pengkajian Kebijakan Teknologi – Badan Pengkajian dan Penerapan Teknologi (BPPT), Jakarta, 2011.

Usha Rani Vyasulu Reddi, “Seri Utama: TIK untuk Pembangunan – Isu 1: Pengantar TIK untuk Pembangunan – Sumber pembelajaran TIK untuk pembangunan bagi insitusi pendidikan tinggi”, United Nations Asian and Pacific Training Centre for Information and Communication Technology for Development (UN-APCICT/ESCAP) , Incheon City, 2011 Course Description: This course provides an inspiration to the students in building the capability of developing insight science, technology and innovation to the utilization of information and communication technologies and their application for the benefit of sustainable development based on the conservation of natural and human resources. During the learning process, students develop the ability to constructively structure starting from the increase in exploration capabilities in the field of information science and technology for sustainable development with the utilization of information and communication technology, to stage an increase in communication and team collaboration capabilities that work systemically in formulating the idea of ​​technology and innovation through activities of problem-based learning, as well as looking at the facts and the problems in the nation with the theme al problems of energy, food, environment, climate change and so forth in order to train social sensitivity. At the end of the lesson, the student is able to explain in oral about creative and innovative technologies for the benefit of sustainable development with the utilization of information and communication technology in order to overcome the problems of the nation, and turn it effectively into the form of scientific papers.   Course Requirement : Required Prerequisites              : N/A Course Topics

  • Sustainable development
  • Science, Technology and Innovation (STI) and Information and Communication Technology-ICT
  • Systems and Complexity (A holistic approach)
  • Method to find the idea of ​​solving problems based on the information (The study of literature)
  • Communication (scientific writing and presentation order)

Learning Outcomes After completing this course, students should be able to (the numbering does not necessarily imply any ordering):

  1. have insight about the conservation of the natural and human resources in applying science and technology for the benefit of sustainable development
  2. understand the basics of the use of technology by utilizing information and communication technology in the field of energy, environment, residential and marine
  3. communicate the idea of technology to solve the nation’s problems in oral and in writing
  4. work together and have a social sensitivity and a high concern for people and the environment. concern for people and the environment.
[/nextpage][nextpage title=” Operations Research II “] TI141312 – 3 Credits   Course Coordinator  : Nurhadi Siswanto, Ph.D. Contact hours            : Monday on Friday (09.00 a.m. – 11:00 a.m.) Materials – Textbooks, Readings, Supplementary Readings:

  • Wayne L Winston, “Operations Research: Applications and Algorithms”, Indiana University, 4th edition, 2004
  • Hamdy Taha, “Operations Research”, USA: Macmillan Publishing Company, 7th edition, 2003

Course Description: This course is the second series which gives the lecture in introduction to optimization modelling in decision making. Unlike the first series which focus on the deterministic parameters, this course also focuses on stochastic parameters and applies it on the industrial and business problems. Topics discussed are Integer Programming, Non-linear Programming, Game Theory, Dynamic Programming, Markov Chain, Queuing Theory and Monte Carlo Simulation. Course Requirement : Required Prerequisites              : Operations Research I Course Topics

  • Integer Programming
  • Non-linear Programming
  • Game Theory
  • Dynamic Programming
  • Markov Chain
  • Queuing Theory
  • Monte Carlo Simulation

Learning Outcomes After completing this course, students should be able to (the numbering does not necessarily imply any ordering):

  1. understand the characteristics of different types of decision-making environments and the appropriate decision making approaches and tools to be used in each type (knowledge and understanding)
  2. formulate, build and solve problems by using appropriate models, such as Integer Programming, Game Theory, Dynamic Programming, Markov Chain, and Queuing Theory (Cognitive skills – thinking and analysis)
  3. Design new simple models to improve decision –making and develop critical thinking and objective analysis of decision problems (Communication skills)
  4. Use optimization software to solve those deterministic and .stochastic models and interpret the results (Practical and subject specific skills)
[/nextpage][nextpage title=” Production Planning and Control “] TI141313 – 4 Credits   Course Coordinator  : Prof. I Nyoman Pujawan Contact Hours           : Monday on Thursday (09:00 a.m. – 11:00 a.m.) Materials – Textbooks, Readings, Supplementary Readings:

  • Fogarty, D. W., Blackstone, J. H., and Hoffmann, T. R. (1991). Production and Inventory Management 2nd, South Western Publishing.
  • Arnold, J. T. (2011). Introduction to Materials Management, 5/e. Pearson Education India.

Course Description: Production planning and control is a central function in any manufacturing company. It deals with optimizing the use of production resources in order to satisfy customers’ demand. The objective of this course is to introduce to students various concepts, techniques, methods, and practical issues related to production planning and control. Course Requirement : Required Prerequisites                : Manufacturing Systems Course Topics

  • Introduction to production planning and control
  • The role of PPC in supply chain
  • Framework of PPC
  • Demand forecasting
  • Aggregate production planning
  • Master production schedule
  • Inventory management
  • Material Requirements Planning
  • Capacity planning
  • Production activity control
  • Other relevant topics (JIT, TOC, ERP).

Learning Outcomes After completing this course, students should be able to (the numbering does not necessarily imply any ordering):

  1. explain the roles of production planning and inventory control among other functions in a manufacturing company
  2. explain the framework of production planning and inventory control from demand forecasting to production activity control
  3. apply basic forecasting methods and measure their accuracy
  4. use methods / techniques to develop production plan, including resource planning (materials and capacity)
  5. use various techniques to control inventory
  6. use techniques to control production activities
  7. explain practical issues related to PPIC and its relations with the supply chain.
[/nextpage][nextpage title=” Facility Design “] TI141314 – 3 Credits Course Coordinator  : Arief Rahman, S.T., MSc Contact Hours           : Wednesday on Friday (08:00 a.m. – 10:00 a.m.) Materials – Textbooks, Readings, Supplementary Readings:

  • Wignjosoebroto, S. (1996). Tata Letak Pabrik dan Pemindahan Bahan. PT. Gunawidya
  • Heragu, S. (2008). Facilities Design, 3rd edition. CRC Press, 2008
  • Tomkins, J., White, J., Bozer, F, Tanchoco. (1996). Facility Planning, John Willey & Sons, 1996
  • Francis, R., John W. (1992). Facility Layout and Location, an Analytical Approach, Prentice Hall.
  • Apple, J.M. (1977). Plant Layout and Material Handling. New York: John Willey & Sons.

Course Description: Facility design is one of the important and complex stages in enterprise strategic planning. This course will discuss several stages in facility planning i.e.: facility location analysis, material flow design, warehouse facility planning, facility layout design and framework, material handling, and planning for supporting facilities. Facility arrangement in layout and its optimization will be discussed as the main objectives of this course. Course Requirement : Required Prerequisites                : Manufacturing Systems, Manufacturing Process, and Industrial Ergonomics Course Topics

  • Introduction of facilities design
  • Location facilities determination and analysis
  • Process and material flow analysis
  • Production capacity determination
  • Space planning and supporting facilities
  • Material handling analysis
  • Warehouse facility design
  • Group technology and part families
  • Computer aided layout design
  • Layout design using traditional and quantitative approaches
  • Mathematical modeling and optimization for layout design

Learning Outcomes After completing this course, students should be able to (the numbering does not necessarily imply any ordering):

  1. explain the basic concept and data in facility design
  2. apply the location analysis method using qualitative and quantitative approaches
  3. design the material flow and handling in plant facilities
  4. design and evaluate the facility layout using qualitative and quantitative approaches
  5. specify the supporting facilities in facility design
  6. model the layout in 2D and 3D presentation
  7. communicate effectively, work together in working environment and have professional attitude.
[/nextpage][nextpage title=” Product Design and Development “] TI141315 – 3 Credits Course Coordinator  : Dyah Santhy Dewi, S.T., M.Sc., Ph.D. Contact Hours           : Monday on Friday (10:00 a.m. – 12:00) Materials – Textbooks, Readings, Supplementary Readings:

  • Ulrich, K.T, Eppinger, S.D., Product Design & Development, 2nd Edition, McGraw-Hill, 2000
  • Cross, Nigel. Engineering Design Methods: Strategies for Product Design. New York; John Wiley & Sons, 1996.
  • Roozenburg, NFM and J. Eekels. Product Design: Fundamentals and Methods. Chicester: John Wiley & Sons, 1995.

Course Description: The design and development of product is a core business process for most companies. Product is produced from a series of processes starting from customer needs identification, production stage until ready to be marketed. A specialized, knowledgeable and high skilled human resource is required in managing the design and development of products (P3) in order to produce a high quality product. The purpose of this course, therefore, is to provide basic theoretical and practical understanding of customer drive product design and development process which enable student to design product which not only technically reliable, high quality, but also marketable. Product concepts, design processes, methods/techniques and current issues on product design and development are discussed, along with economic implications of design. Students will gain an understanding of product design and development processes as well as useful tools/techniques. Course Requirement : Required Prerequisites              : Industrial Ergonomics Course Topics

  • Introduction of Product Design and Development,
  • Phase 0 : Product Planning,
  • Phase 1 : Concept Development,
  • Phase 2 : System Level Design,
  • Phase 3 : Detail Design,
  • Phase 4 : Product Testing and Refinement(prototyping)
  • Phase 5 : Product launching
  • Current issue on Product Design and Development

Learning Outcomes After completing this course, students should be able to (the numbering does not necessarily imply any ordering):

  1. explain the scope of industrial product design and development
  2. explain good product characteristics as well as the differences between product core component and support component
  3. define, to synthesize, to evaluate new business opportunities of innovative product development
  4. use methods for identifying the voice of customers (VOC) and translating VOC to the final product
  5. conduct product design and development process from Phase-0 to Phase-5
  6. analyze and explain the trade-off between cost and quality on product specification.
[/nextpage] [nextpage title=” Quality Control Engineering “] TI141316 – 3 Credits   Course Coordinator  : Putu Dana Karningsih, S.T., M.Sc., Ph.D. Contact Hours           : Tuesday on Friday (09:00 a.m. – 11:00 a.m.) Materials – Textbooks, Readings, Supplementary Readings:

  • Montgomery, Douglas C. (2005). Introduction to Statistical Quality Control. New York: John Wiley & Sons Corp.
  • Grant, E.L. and R.S. Leavenworth (2000). Statistical Quality Control. New York: McGraw-Hill Book, Co.
  • Gitlow, Howards S. (1995). Total Quality Control. Tools and Methods for Improvement, Irwin Co. Publishing Company.

Course Description: Quality control is one of important activities in manufacturing industry to make sure that the products fill the minimum requirement both from customer and producer. Quality control consists of involving entities to analyze production factors. This course provides knowledge about many techniques to produce high qualified and robust products. Course Requirement :Required Prerequisites                : N/A Course Topics

  • Introduction to Quality Control (quality concept and statistical techniques review).
  • Quality control techniques, output quality factors, output control, 7 tools applications/statistical process control tools.
  • Control chart and its application: attributes and variables control charts.
  • Process utility and measurement.
  • Quality assurance system: quality system documentation, quality management system, ISO 9000, Malcolm Baldridge, Six Sigma
  • Time weighted control chart, Design of Experiment, Acceptance sampling.

Learning Outcomes After completing this course, students should be able to (the numbering does not necessarily imply any ordering):

  1. understand the quality concepts
  2. understand and use SPC tools
  3. understand and are able to use both variables control chart and attributes control chart
  4. understand and determine the process capability
  5. apply the DOE technique
  6. understand and apply the acceptance sampling technique
[/nextpage] [nextpage title=” Organization & Human Resource Management (OHRM)”] TI141212 – 3 Credits   Course Coordinator  : Naning Aranti Wessiani, S.T., M.M Contact Hours           : Wednesday on Friday (01:00 p.m. – 03:00 p.m.) Materials – Textbooks, Readings, Supplementary Readings:

  • Dessler, Gary (2013). Human Resource Management, 13th ed. Pearson Prentice Hall
  • Jones, Gareth R.(2013). Organizational Theory, design, and Change, 7th Prentice Hall
  • Armstrong, Michael. (2009) Armstrong’s Handbook Of Human Resource Management Practice, 11th Kogan Page.
  • Brian E. Becker, Mark A. Huselid, Dave Ulrich,(2009) “The HR Scorecard Mengaitkan Manusia, Strategi dan Kinerja”, Translation copyright Erlangga.

Course Description: Human Resource Management needs to be tailored to the organization’s strategic choice of design. The design of the organization must be aligned to the strategy of the company or organization. Organizational and Human Resources Management (OHRM) course more emphasis on organizational strategy, organizational design and management of human resource management from recruitment to development of human resources. Through OHRM course students are expected to have an understanding and be able to manage human resources efficiently and effectively. Course Requirement : Required Prerequisites              : N/A   Course Topics

  • The relationship between MOSDM with Industrial Engineering,
  • Organizational Strategy,
  • Types of organizational strategy,
  • Organization structure,
  • Design Choices Organizational Structure,
  • Organizational design alignment with organizational strategy,
  • Human Resource Management,
  • Human Resources Management alignment with organizational design,
  • Human Resource Development,
  • Assessment performance,
  • Industrial Relations and the rules and regulations relevant,
  • Conflict Management

Learning Outcomes After completing this course, students should be able to (the numbering does not necessarily imply any ordering):

  1. explain the relationship between strategy, organizational design and human resource management
  2. create a draft vision and mission statement
  3. draw conclusions about the characteristics of a good vision and mission
  4. choose an appropriate generic strategy (product leadership, excellent operational, customer intimacy)
  5. explain the definition of authority (vertical and horizontal differentiation) and control (span of control)
  6. mention the types of organizational structure and the advantages/shortcomings
  7. design in accordance with the organization’s business strategy of an organization
  8. design human resource management strategies derived from the organization’s strategy
  9. explain the 8 main pillars in human resource management
  10. perform a simple job analysis
  11. explain a variety of employee performance appraisal tools
  12. design a compensation system according to organizational design and business strategy.
[/nextpage] [nextpage title=” System Modeling “] TI141311 – 3 Credits Course Coordinator  : Yudha Andrian, S.T., MBA Contact Hours           : Monday on Friday (09:00 a.m. -11:00 a.m.) Materials – Textbooks, Readings, Supplementary Readings:

  • Daellenbach, H. G. and D.C. McNickle. (2005), Management Science: Decision Making through System Thinking, Pallgrave Macmillan, United Kingdom.
  • Murthy, D.N.P., Page, M.W., and Rodin,E.Y., Mathematical Modelling, Pergamon Press, 1990.
  • Clement, Robert T. (1997). Making Hard Decisions: An Introduction to Decision Analysis, 2nd Edition., Duxbury Press.

Course Description: This course is trying to give knowledge and ability to utilize the concept of System Thinking and System Approach to deal with many practical situations in scope of Industrial Engineering and Management cases. Within studying this course, you will learn how to identify and formulate a problem, identify and set a correct objective and system relevant, utilize a correct System Diagram, and solve the problem by using a proven Management Sciences Methodology.   Course Requirement : Required Prerequisites                : Operation Reseach I, Operation Research II, Engineering Statistics I Course Topics

  • System Thinking:
    • System Definition
    • System Thinking:
      • Efficiency Vs Effectiveness
      • Unplanned Outcomes and Counterintuituve Outcomes
      • Reductionist and cause-and-effect thinking
    • System Concept
      • Concept System, Type, and Characteristics of System
      • Pervasiveness of systems
      • Out-there and inside-us view of systems
      • Subjectivity of system description
      • System boundary and relevant environment
      • Systems as ‘black boxes’
      • Hierarchy of systems
      • System behaviour
      • Feedback loops
      • Control of systems
    • The Problem Situation
      • The problem situation and what is a ‘problem’?
      • Stakeholders or roles of people in systems
      • Problem Boundary and Scope
      • Describing Problem Situation:
        • Rich Picture Diagram
        • Mind Mapping
        • Cognitive Mapping
      • System Model & Diagram
        • System models
        • Approaches for describing a relevant system
        • Essential properties of good models
        • The art of modelling
        • System Diagram:
          • Causal loop diagrams
          • Influence diagrams
          • Other system diagrams
        • Hard System Methodology:
          • Exact/Optimization,
          • Heuristics,
          • Searching Methods,
          • Simulation
        • Soft System Methodology
          • Soft system paradigm and working modes
          • Checkland’s soft systems methodology
          • Strategic option development and analysis
          • Strategic choice approach
          • Survey of other problem structuring approaches
          • Critical systems heuristics, critical systems thinking,
        • Extension System Model & Diagram:
          • Modeling Decision Problem,
          • Modeling System Safety (Reliability Block Diagram, Fault Tree Analysis, Event Tree Analysis, etc.),
          • Modeling Project/Distribution Network,
          • Financial Modeling,
          • Stochastic Modeling

Learning Outcomes After completing this course, students should be able to (the numbering does not necessarily imply any ordering):

  1. understand the basic concepts of system modeling, identification of problems, and the development of system relevant and system diagrams
  2. understand the techniques of the hard systems and soft systems methodology methodology
  3. define problems (real and theoretical) that are relevant to the areas of industrial engineering and describe the implementation the concept of System Thinking, System Approach, and System Modeling to variety of real world and theoritical case studies
  4. develop models, analyze and validate the model from a system relevant
[/nextpage] [nextpage title=” Industrial System Simulation “] TI141317 – 3 Credits   Course Coordinator  : Stefanus Eko Wiratno, S.T., M.T Contact hours            : Monday on Friday (10.00 p.m. – 12:00 p.m) Materials – Textbooks, Readings, Supplementary Readings:

  • Kelton, W., Sadowski, R., and Swets, N., Simulation with Arena, 5th edition, McGraw-Hill Education, 2009
  • Harrell, Ghosh, Bowden, Simulation Using Promodel, McGrawHill, 2004
  • Law, Averill.M., Simulation Modeling and Analysis, 4th edition, McGraw-Hill Education, 2007

Course Description: Simulation is defined as a technique to imitate process/operation by using computer from a complex system which is difficult to model (cannot be modelled) as mathematical formulation. Simulation model is designed to be used for studying system by conducting experiments to achieve the desired objectives/performance measurements. This course deals on how to design the right simulation model. So that when the students have finished studied, they are able to develop valid simulation models and conduct experiments by using these models. The learning activities consist of lecturing which discusses simulation concept and simulation modelling techniques as well as assigning a real case study which will be presented at the end of the period. Course Requirement : Required Prerequisites              : Industrial Statistics and Operations Research II Course Topics

  • Introduction to simulation
  • System approach in simulation study
  • Basic simulation
  • Discrete event simulation
  • Data collection and input analysis
  • Simulation modelling with Arena
  • Verification and validation simulation models
  • Simulation Output analysis
  • System comparison

Learning Outcomes After completing this course, students should be able to (the numbering does not necessarily imply any ordering):

  1. understand the concept and the basic of discrete event simulation
  2. understand steps to build valid simulation models
  3. use discrete event simulation software
  4. conduct experiments using simulation model
  5. solve problem using simulation approach
  6. work in team to solve a simulation problem
  7. present ideas and work results
  8. analyze input and output of simulation
[/nextpage] [nextpage title=” Logistics Management “] TI141318 – 3 Credits Course Coordinator  : Dr. Eng Ahmad Rusdiansyah Contact Hours           : Wednesday & Friday (02:00 p.m. – 04:00 p.m.) Materials – Textbooks, Readings, Supplementary Readings:

  • Ballou, Ronald. H. (2004) Business Logistics Management, Prentice Hall International, Inc., USA
  • Ghiani, Gianpaolo. (2012). Introduction to Logistics Systems Planning and Control. California: John Wiley and Sons, Ltd.
  • Chopra, Sunil (2012). Supply chain Management: Strategy, Planning, and Operation. Prentice Hall International, Inc., New Jersey

Course Description: This subject is a mandatory course discussing logistics functions for individual companies or supply chains. The purpose of this course is to give knowledge and skills for students to understand the concepts and models in logistics management and their application in real cases. Students should also be able to use related logistics application software. Combining the ability to understand cases of logistics, to translate them into models and to select and determine the solution methods, students are expected to have comprehensive knowledge on logistics management. Course Requirement : Required Prerequisites              : Production Planning and Control, Facilities Design Course Topics

  • Introduction to Logistics Management,
  • Logistics Strategy,
  • Product Characteristics and Logistics,
  • Customer Service and ICT in Logistics,
  • Fundamentals of Distribution Network Planning,
  • Facility Location Decisions in a Distribution Network,
  • Fundamentals of Logistics Transportation Planning,
  • Transportation Logistics Decisions,
  • Warehousing and Product Displacement System in Warehouses,
  • Decisions in Product Warehousing and Handling,
  • Outsourcing in Logistics / Third Party Logistics (3PL),
  • Contemporary Topics in Logistics

Learning Outcomes After completing this course, students should be able to (the numbering does not necessarily imply any ordering):

  1. explain the roles and scope of logistics management in industry
  2. use logistics customer service as a measure of service quality in logistics
  3. use analytical tools in designing logistics network
  4. explain the roles of warehouses in logistics, able to evaluate different policies in a warehouse, and able to design warehouse layout
  5. explain the roles of transportation in logistics, able to evaluate different transportation policies, and able to manage operational activities of transportation
  6. explain the roles of logistics in national and global context
[/nextpage] [nextpage title=” Industrial Planning I “] TI141319 – 3 Credits Course Coordinator  : Maria Anityasari, S.T., M.Sc., Ph.D. Contact Hours           : Monday on Friday (10:00 a.m. – 12:00 p.m.) Materials – Textbooks, Readings, Supplementary Readings:

  • Maria Anityasari & Naning Aranti Wessiani, “Analisa Kelayakan Usaha: Dilengkapi Kajian Manajemen Resiko”, Gunawidya, 2011
  • Behrens & Hawraner, “Manual for the Preparation of Industrial Feasibility Studies”, UNIDO-United Nation Publication, 1992

Course Description: This course is an integrated course of many previous courses that aim for giving the understanding and skills for students in the establishment and development plans of comprehensive business. Students are required to be able to prepare a business feasibility analysis for the establishment and development plans of business. This course is a serial course and will be continued by Industrial Design II courses in semester 7. Course Requirement  : Required Prerequisites                : Product Design and Development, Manufacturing System, Management Organization and Human Resources, Plant Layout, Production Planning and Control Course Topics

  • The need for a complete and integrated feasibility analysis in the establishment and development of manufacturing-based businesses
  • SWOT Analysis of business establishment and development ideas
  • Analysis and arrangement of appropriate strategies for the business establishment and development
  • Market analysis and arrangement of marketing plan
  • Development of a competitive and innovative product design
  • Analysis and arrangement of production process planning
  • Selection of machinery and layout planning and the needs of workers on the production floor
  • Analysis and arrangement of production/ manufacturing systems
  • Analysis and arrangement of supply chain planning, including: supplier selection
  • Distribution network planning
  • Selection of distribution/ transportation tools
  • Analysis and selection of business location
  • Analysis and layout planning in the business location
  • Arrangement of financing needs based on market aspect and technical aspect

Learning Outcomes After completing this course, students should be able to (the numbering does not necessarily imply any ordering):

  1. design the establishment or development plans of integrated business, include: opportunities identification, strategic design, product design, manufacturing process design, design and operation of production systems, supply chain design, layout design, business location selection and design of organization and human resources
  2. compose the business plan in a good, rational, and professional feasibility study
  3. communicate / present their work outcomes well
  4. cooperate with other team members in performing design and analysis of business.
[/nextpage] [nextpage title=” Problem Solving Methodology “] TI141320 – 2 Credits Course Coordinator  : Maria Anityasari, S.T., M.Sc., Ph.D. Contact Hours           : Monday on Friday (10:00 a.m. – 12:00 p.m.) Materials – Textbooks, Readings, Supplementary Readings:

  • ITS Guidebook of writing report/ final project
  • Modeling & Problem Techniques for Engineers

Course Description: This course aims to provide an overview of potential real problems faced by a graduate of Industrial Engineering in the workplace and in society as well as the solution methodology. Students are directed to be able to find some alternative solutions, problem-solving methods or techniques that can be used, data requirements, constraints and assumptions that are required, and the consequences of each alternative settlement issues raised. In this course, students are trained to think critically, creatively, and innovative in solving problems. Students will be equipped to have the attitude and scientific ethics and skills to explore and extract information, editing and writing reference, scientific communication both orally and in writing, and writing reports and scientific journals from the results of the problem solving that has been done. Course Requirement : Required Prerequisites              : Already passed at minimum 100 credits Course Topics

  • The introduction of typical and potential problems encountered in the workplace and in the community based on laboratories in Industrial Engineering
  • Critical thinking, creative and innovative
  • Problem identification techniques
  • Preparation techniques in a systematic problem-solving methodology and structured, effective and efficient
    • Various problem solving methods or techniques as well as restrictions assumptions,
    • A presentation of several final project
  • Attitudes and scientific principles,
  • Skill to explore and extract information
    • editing and writing references,
    • scientific communication both orally and in writing, and
    • writing reports and scientific journals from the results of the problem solving that has been done

Learning Outcomes After completing this course, students should be able to (the numbering does not necessarily imply any ordering):

  1. recognize and appropriate identify the problems that exist in the work environment and in the community
  2. develop problem-solving methodology that is appropriate, effective and efficient, and involves creativity and innovation
  3. choose the problem solving method / technique appropriate based scientific framework of Industrial Engineering
  4. set boundaries and assumptions in accordance with the conditions of the problems faced
  5. understand the ways of collecting data and information required in problem solving
  6. posses the scientific attitude and ethics
  7. posses the skills to explore and extract information, editing and writing reference, scientific communication both orally and in writing, and writing reports and scientific journals from the results of the problem solving that has been done.
[/nextpage] [nextpage title=” Technopreneurship “] IG141109 – 3 Credits   Course Coordinator   : Offered by General Education Unit (UPMB – UPT Pengelola Mata Kuliah Bersama) Contact Hours           : Monday & Thursday (09:00 a.m. – 11:00 a.m.) Materials – Textbooks, Readings, Supplementary Readings:

  • Barringer, B. R., & Ireland, R. D. (2010). Entrepreneurship: Successfully launching new ventures. Upper Saddle River, N.J: Prentice Hall.
  • International Labor Organization, Generate Your Business Idea
  • International Labor Organization, Memulai Bisnis
  • Osterwalder, A., Pigneur, Y., & Clark, T. (2010). Business model generation: A handbook for visionaries, game changers, and challengers. Hoboken, NJ: Wiley.
  • William, B. K., Sawyer, S. C., Berston, S., (2013). Business: A Practical Introduction. Upper Saddle River, N.J: Prentice Hall

Course Description: This course provides an understanding and skills for students to be able to identify and evaluate technology-based business opportunities in accordance with the areas of expertise of students, and to develop business opportunities. This course combines theory and practice of introduction of direct (hands-on experience) is integrated in developing ideas and business opportunities. In the end, students are expected to pour into the business opportunities of effective business plans. Course Requirement : Required Prerequisites              : At least already take up till 5th semester Course Topics

  • Concept of business and entrepreneurship
  • Entrepreneurial mindset and self-evaluation
  • Creativity and identification of business opportunities
  • Business models
  • Analysis and evaluation of business opportunities
  • Analysis and market planning
  • Cost analysis and pricing of products
  • Team building and human resource planning
  • Financial planning
  • Budgeting, ethics and social responsibility
  • Legal aspects and risk analysis
  • Development of business plan

Learning Outcomes After completing this course, students should be able to (the numbering does not necessarily imply any ordering):

  1. apply their expertise, innovation and creativity to produce a business draft /market oriented products by using science and technology to generate an entrepreneurial opportunity
  2. adapt to the situation and survive in conditions of uncertainty
  3. incorporate risks with precise calculation
  4. be responsible for own work and can be held accountable for the achievement of the result of teamwork by promoting business ethics
  5. improve fluency in spoken language and written for entrepreneurship as well as daily life.
[/nextpage] [nextpage title=” Reliability and Maintenance Engineering “] TI1413213 Credits Course Coordinator  : Maria Anityasari, S.T., M.Sc., Ph.D. Contact Hours           : Monday on Friday (10:00 a.m. – 12:00 p.m.) Materials – Textbooks, Readings, Supplementary Readings:

  • Lewis, E. E. 1987. Introduction to Reliability Engineering, John Wiley & Sons, USA.
  • Dhillon, B.S, Reiche, H. (1985), Reliabiity and Maintainability Management, Van Nostrand Reinhold Company, USA.
  • Osaki, S. (1992), Applied Stochastic System Modeling, Springer-Verlag, Tokyo.
  • Villemeur, A. (1991), Reliability, Availability, Maintainability, and Safety Assessment, John Wiley & Sons, USA

Course Description: This course provides explanation about role of maintenance to support the sustainability of manufacturing system, kinds of equipment and facilities need to be maintained. Numerous maintenance strategies are discussed in their advantages and disadvantages, the relationship between maintenance and other business functions in company, followed by how to design the effective-efficient maintenance management. To support the maintenance activities, this course discuss about reliability of the equipment, how to measure it, test it (reliability testing), and manage it under various process condition include in a complex system. . Course Requirement : Required Prerequisites              : Industrial Statistics 2, Manufacturing System   Course Topics

  • Strategic, roles and operation of maintenance activities in a company, maintenance management for various equipment and facilities.
  • Maintenance strategy (history, implementation, advantages and disadvantages, the need of data, cost of implementation).
  • Computer-based Maintenance Management System (CMMS).
  • Reliability and Failure modeling, lifetime distribution (how to measure and analyze manual and using software).
  • MTTF, MTTR, MRL, Conditional reliability
  • Complex system, series-parallel structure
  • Reliability testing, accelerated testing,
  • Condition monitoring and failure prediction
  • Repairable and non-repairable items
  • Case study of maintenance and reliability.

Learning Outcomes After completing this course, students should be able to (the numbering does not necessarily imply any ordering):

  1. identify maintenance necessity, the relationship between maintenance and other business function in company
  2. understand many maintenance strategy, advantage and disadvantage and their comparison
  3. understand reliability concepts and various lifetime distribution of any equipment, how to determine and analyze it manually and under software approach
  4. understand the relationship between reliability and designing appropriate maintenance management.
[/nextpage] [nextpage title=” Business Information System Design “] TI141322 – 3 Credits   Course Coordinator  : Ir. Lantip Trisunarno, M.T Materials – Textbooks, Readings, Supplementary Readings:

  • McLeod Jr. Management Information System, Prentice Hall, 2004.
  • Computer-based information system, Pearson Education, 2003

Course Description: A company or organization will face the challenges of the complexity of the issue and the larger volumes of data, especially when the company has grown and are in a competitive situation. Therefore, in order to survive and be competitive, we need an information system that can support decision making efficiently and effectively. This lecture will provide insight to students related to the design of information systems within the scope of the company or business. Emphasis is on the basic concepts of material information systems both manual and computer-based, enterprise system basic concepts related functions and levels of management, process / design stage of information systems, business information systems applications design. Understanding of the concept and design of the information system will provide supplies for students to be able to design information systems and applications within the scope of the business Course Requirement : Required Prerequisites              : N/A Course Topics

  • The relationship between DBIS with Industrial Engineering
  • Computer-Based Information Systems
  • Information Technology and competitiveness
  • Modeling Enterprise Systems
  • Systems Approach
  • Methodology of Life Cycle Systems
  • Database Management Systems
  • Management Information Systems
  • Normalized Entity Relationship Diagram
  • Case study

Learning Outcomes After completing this course, students should be able to (the numbering does not necessarily imply any ordering):

  1. understand the relationship of subjects within the scope industrial engineering
  2. understand the basic concepts of information systems both manual and computer-based
  3. understand the relationship of information systems with the functions and levels of management within the scope of the company
  4. understand the system as an alternative solution approach in designing business information systems
  5. understand the framework or model of problem solving (problem solver)
  6. understand the stages in the design of business information systems
  7. design the real case in the framework of information systems design in the form of a data flow diagram
  8. identify the needs of entities and attributes in accordance with the purpose why information system needs to be designed
  9. design information systems in the form of relationships between entities (entity relationship diagram)
  10. design an application system based on the design of the relationship between entities
  11. convince the presentation of the design of information systems through the application system that has been created.
[/nextpage] [nextpage title=” Industrial Planning II “] TI141323 – 3 Credits Course Coordinator  : Dr. I Ketut Gunarta Contact Hours           : Monday on Wednesday (10:00 a.m. – 12:00 p.m.) Materials – Textbooks, Readings, Supplementary Readings:

  • CrundwellK., “Finance for Engineers: Evaluation and Funding of Capital Projects”, Springer-Verlag, London, 2008.
  • Behrens & Hawraner, “Manual for the Preparation of Industrial Feasibility Studies”, UNIDO-United Nation Publication, 1992
  • Maria Anityasari & Naning Aranti Wessiani, “Analisa Kelayakan Usaha: Dilengkapi Kajian Manajemen Resiko”, Gunawidya, 2011

Course Description: The Industrial Planning II is an advanced class after the course of Industrial Planning I which was focused on topics related to the financial aspects of the Industrial Planning. In this lecture of Industrial Planning II, first of all, students will be reminded on the previous understanding on the basic concepts of financial analysis related to the investment industry as a long-term asset. Next, students will be equipped with the knowledge, skills through direct practice and insight in making an assessment of the investment industry in a comprehensive manner. In the end, students are expected to be able to make a decision on the feasibility of an industrial investment plan using a variety of investment decision criteria including the consideration of investment risk and to prepare a comprehensive investment plan report. Course Requirement : Required Prerequisites                : Industrial Planning I, Cost Analysis, Engineering Economics Course Topics

  • An overview of the evaluation and financing of capital projects,
  • The theory and practice of decision-making concerning capital projects
  • Financial statements
  • Cash flow for an industry project
  • Capital investment decision criterias
  • Analyzing project cash flows
  • Risk & return concept
  • The cost of capital
  • Capital investment and risk analysis
  • Financial modeling and pro forma analysis
  • Technique for writing investment plan report

Learning Outcomes After completing this course, students should be able to (the numbering does not necessarily imply any ordering):

  1. explain steps taken on evaluating the investment planning of industry establishment
  2. recognize the various forms of funding sources available for the investment needs along with analyze their own characteristics
  3. identify and calculate the initial investment of an industry establishment
  4. calculate free cash flow generated from industry investment plan as a basis for evaluation
  5. calculate the cost of capital of industry investment plans
  6. explain the criteria for the long-term industry investment decisions and determine the feasibility of an industry investment plan based on these criteria
  7. understand the methods used to perform a risk analysis on the long-term industry investment
  8. construct a comprehensive financial model for the investment planning of industry establishment
  9. identify and analyze the basic economic events most common in the industry’s operations and perform a valuation on the impact of these events to the financial performance of the industry
  10. communicate / present their work outcomes well
  11. cooperate with team members in conducting the industry investment project.
[/nextpage] [nextpage title=” Practical Work “] TI1413242 Credits Course Coordinator  : Dody Hartanto, S.T., M.T. Contact Hours           : Tuesday on Friday (01:00 p.m. – 03:00 p.m.) Materials – Textbooks, Readings, Supplementary Readings:  Course Description: Practical work is designed to introduce students in applying industrial engineering concept and to prepare students for working in the area that the industrial engineer used to works in a company. Also, this course is aimed for the students to understand and apply how to use industrial engineering method in solving the real industrial problems comprehensively. Course Requirement : Required Prerequisites              : Already passed at minimum 80 credits Course Topics Free Learning Outcomes After completing this course, students should be able to (the numbering does not necessarily imply any ordering):

  1. communicate both speaking and writing
  2. understand industrial engineering functions
  3. solve industrial problems using industrial engineering functions in problem exercise
  4. work together in working environment.
[/nextpage] [nextpage title=” Final Project “] TI141501 – 6 Credits   Course Coordinator  : Yudha Andrian MBA Contact Hours           : Monday on Friday (09:00 a.m. – 11:00 a.m.) Materials – Textbooks, Readings, Supplementary Readings:Course Description: Students are designed to develop their ability to continue study in graduate level or to work. This final project gives students to have experiences in solving industrial problems. Topics in this final project can be a case study in a company by applying theory, hypothesis testing based on survey data or interview, or a methodology development which can be used in solving industrial problems. Course Requirement : Required Prerequisites              : Problem Solving Methodology, 2 Elective courses Course Topics Free, within the scope of Industrial Engineering Learning Outcomes After completing this course, students should be able to (the numbering does not necessarily imply any ordering):

  1. identify the real problem in industry
  2. identify research gap in his/her research topic
  3. apply industrial engineering theory in solving industrial problems or develop model to answer his/her research question
  4. develop a model to answer his/her research question
  5. conduct a research independently and taking responsibility with the process and the result
  6. communicate both speaking and writing well, also to develop interpersonal skills
[/nextpage] [nextpage title=” Metaheuristics “] TI141444 – 3 credits Course Coordinator  : Budi Santosa, PhD Contact Hours           : Monday on Friday (08:00 a.m. – 11:30 a.m.)   Materials – Textbooks, Readings, Supplementary Readings:

  • Metaheuristik: konsep dan implementasi Budi santosa, Paul Willy, 2011
  • Modern Heuristic Optimization Techniques, Theory and Applications to Power Systems, Wiley Interscience, Kwang Y Lee and Mohamed A Sharkawi,
  • Matlab untuk statistika dan teknik optimasi, Graha ilmu, budi santosa, 2007

Course Description: Metaheuristics are typically high-level problem-independent strategies which guide an underlying more problem specific heuristic to increase their performance in finding the optimal solution. They are general purpose tools but have to be tailored to a specific problem. Since many real-world problems can be solved with metaheuristics, it is not possible to cover too many of them in one semester. As a compromise, a few problems will be chosen (such as function optimization, single machine scheduling, and traveling salesman problem) to show the use of these metaheuristics in the class. Course Requirement : Optional Prerequisites              : Optimization Mathematics, Operations Research (OR) I, OR II   Course Topics

  1. Syllabus and Introduction
  2. Classic Optimization: gradient descent, nelder mead, hooke jeeves
  3. Genetic algorithm
  4. Simulated annealing, implementation with Matlab for continuous optimization
  5. Particle swarm optimization , Implementation with matlab for continuous and discrete optimization
  6. Differential evolution , Implementation with Matlab
  7. Ant colony optimization, implementation for TSP
  8. Harmony search , Implementation with Matlab for Continuous Optimization
  9. Genetic algorithm
  10. Cross entropy, Implementation for Continuous and discrete optimization

Learning Outcomes After completing this course, students should be able to (the numbering does not necessarily imply any ordering):

  1. understand and explain class of optimization, optmization techniques, basic concept of metaheurisrics, advantages of metaheuristics
  2. understand and apply metaheuristics for simple and complex cases using software
  3. understand Hybridize two or more metaheuristics and or heuristics techniques
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