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Measuring Mental Workload Of Air Traffic Controller (ATC) By Using Dynamic Density (DD) And Nasa-TLX Methods (Case Study: Airnav Indonesia Surabaya Branch Office)
 
 
 
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Title Measuring Mental Workload Of Air Traffic Controller (ATC) By Using Dynamic Density (DD) And Nasa-TLX Methods (Case Study: Airnav Indonesia Surabaya Branch Office)
Edition
Call Number 2017/II/73
ISBN/ISSN
Author(s) Sakinah, Nita Inas
Subject(s) Performance Measurement
Air Traffic Controller
Dynamic Density
Classification 658.151 1 Sak m
Series Title
GMD Tugas Akhir
Language Inggris
Publisher Departemen Teknik Industri FTI-ITS
Publishing Year 2017
Publishing Place Surabaya
Collation
Abstract/Notes Today’s growth of Juanda Airport air transport service is very rapid. To ensure the service quality and safety, one of most significance aspects is relied on ATC performance under AirNav Juanda management. This performance depends on appropriate workload burdened towards the ATC. Therefore, an ATC workload measurement is important to be conducted. Especially for Approach Unit (APP) Controller who has so many cognitive tasks. The tasks are prevent collision between aircrafts, expedite and maintain an orderly of air traffic flow, provide advice and information for the safe and efficient flight, and notify relevant organizations regarding aircraft in need of rescue and assist the mentioned organization if it is required. Moreover, this unit does not only handle departing and arriving flights, but also the passing through flights through its sectors.
One of objective methods which represent cognitive complexity factors that mainly trigger APP Controller mental workload is Dynamic Density (DD). In the application towards AirNav Juanda, DD is supported by a widely used subjective method, NASA-TLX. It is because there is still no objective mental workload which able to precisely represent the ATC level of workload.
Result of AirNav Juanda APP Controller mental workload triggering factors measurement by using DD shows top 5 weighting of the factors are S5, NUMHORIZ, SCI, SV and C15 respectively. Moreover, based on NASA-TLX assessment, 9.1% of 22 observed APP Controllers experience ‘very high’ category of mental workload, 81.8% ‘high’ and 9.1% ‘medium high’. This workload is triggered by the complexity factors as measured by DD with result of R2 for 0.60497.
Specific Detail Info Workload, Dynamic Density, NASA-TLX, ATC, AirNav Juanda
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Pembimbing Arief Rahman, S.T., M.Sc., Ratna Sari Dewi, S.T., M.T., Ph.D.
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