Warning: Creating default object from empty value in /var/www/html/rbti/lib/lang/php-gettext/gettext.inc on line 148
Predicting Electricity Demands Using System Dynamics Approach in East Java Until The Year of 2010 (Case Study : PT. PLN (Persero)
 
 
 
Select Language
Simple Search
Advanced Search
Title : Author(s) :
  • SEARCHING...
Subject(s) :
  • SEARCHING...
Pembimbing : Publish Year : GMD : Collection Type :
RECORD DETAIL
Back To Previous  
Title Predicting Electricity Demands Using System Dynamics Approach in East Java Until The Year of 2010 (Case Study : PT. PLN (Persero)
Edition
Call Number
ISBN/ISSN
Author(s) Dimas Prasetya Putranto
Subject(s) Dynamic System
OPERATION RESEARCH
Classification 658.403 2
Series Title
GMD Tugas Akhir
Language Indonesia
Publisher Jurusan Teknik Industri FTI-ITS
Publishing Year 2005
Publishing Place Surabaya
Collation
Abstract/Notes
Specific Detail Info PT. PLN is an electricity companies that has two main parts, first handle the part as Electricity Network and second is Electricity Distribution. On handling Java, Madura, and Bali, PLN has divided those areas in several regions. One region that becomes the focus of this final project is East Java Region. This area have become one of fast growing population area and its average population growth about 0.87 % or almost 300,679 peoples per year and its average electricity load growth about 5.6 % or almost 134 MW per year (BPS Population Data and PLN Data for year 1995-2004). This huge amount growing people and electricity load will turn to be a serious problem to PLN. One of the ways PLN should consider to overcome this problem is by making good policies by viewing the entire current system as system dynamics. Researchers then try to forecasting all connected variables, this meant to know how far the causal relationship between existing variables. After that, we can know which variables that have greatest affect to system. Then we run it in Vensim software. Later on, some scenarios are being building based on the critical variables. Result of this study is amount of electricity demands for four type of customer that are residential, public, commercial and industrial. Moreover, the output can become a consideration of PLN future basic policies. Key Word: Electricity, Dynamic System, Forecasting, Causal Relationship, Vensim.
Image
File Attachment
LOADING LIST...
Pembimbing Ir. Hari Supriyanto, MSIE;Yudha Andrian Saputra, ST
Volume 1
Availability
LOADING LIST...
  Back To Previous