DETERMINING THE BUS ALLOCATION OF DAMRI BY CONSIDERING THE BUS OPERATIONAL COST WITH THE HELP OF ARENA SIMULATION

Transportation is an essential thing for fulfilling people's mobility needs and the need to distribute goods. Bus is a type of mass transportation that is still being favorite transportation for the community, especially urban community. Allocation of bus must be carried out as effective and ef...

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Bibliographic Details
Main Author: Cening Devantari, Ni
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/36979
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Institution: Institut Teknologi Bandung
Language: Indonesia
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Summary:Transportation is an essential thing for fulfilling people's mobility needs and the need to distribute goods. Bus is a type of mass transportation that is still being favorite transportation for the community, especially urban community. Allocation of bus must be carried out as effective and efficient as possible to provide optimal service for the community. A way that can be chosen is by suppressing potential for dissatisfaction which can arise. Perum DAMRI as one of the companies that procures public transportation in Bandung, not only has to serve the demands of the community, the company also has limitations in its duty to provide bus vehicles. Nevertheless, Perum DAMRI still has to guarantee that consumers excellent service. Service level rate which the company gives for consumers should be in a great number, in order to continue to compete with other transportation service providers. In this research, to solve the problem of providing numbers of fleets, simulation method will be used to predict the most efficient number of fleets at a certain duration. Software that will be used is Arena Simulation. The simulation result shows that with the number of fleets decreasing in non rush hours, the company's financial performance increases. The financial performance analysis used here is Cost-Benefit Analysis (CBA). The result of alternative solution analysis shows that the cost and benefit ratio values increased from 1.16 to 1.61 for scenario 1 and 2.03 for scenario 2.