Abstract

Train is one of the most favorite mass transportation in the world. In 2017 train in Indonesia can bring about 341.605 passengers to many destinations. PT. Kereta Api Indonesia is a state owned enterprise that has responsibility to make sure that train is safe and works well. As we know that a train has several components to check. It is very difficult to identify whether a train is in a good condition or needs repairing. The purpose of this work is to proposes a model of operational feasibility by several main criteria: bogie, breaking system, boffer, electric coupler, and safety kit. In its experiment phase, this model uses Tsukamoto Fuzzy Inference System to decide that a train is in good condition or need repairing. In evaluation phase we compare this model with traditional method and this model shows exactly 99% of the same result. It is suggested for further work to include several methods such as Tsugeno and Mamdani fuzzy inference system.

Highlights

  • Development of technology demands rapidly to apply technology in the environment with the maximum

  • The purpose of this work is to proposed a model of operational feasibility using Tsukamoto Fuzzy Inference System to decide that a train is in good condition or need repairing [4,5,6]

  • Tsukamoto fuzzy inference system mainly used in a lot of filed and show that this method is effective and accurate [6-8]

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Summary

Introduction

Development of technology demands rapidly to apply technology in the environment with the maximum. There are many people's needs for an information technology-based system, including for decision makers requiring technology involvement [3], such as in the field of railway transportation in Indonesia in determining the feasibility of railway operational facilities. The determination of the feasibility of the operation of the train means is the result of a series of inspections of train components that must meet the requirements of a roadworthy threshold, to ensure the train to be used or operated in good technical condition to safeguard the safety and comfort of its users. The purpose of this work is to proposed a model of operational feasibility using Tsukamoto Fuzzy Inference System to decide that a train is in good condition or need repairing [4,5,6]. Tsukamoto fuzzy inference system mainly used in a lot of filed and show that this method is effective and accurate [6-8]

Data Collecting
Covered
Fuzzification
Rule Establishment
Tsukamoto Inference System
Defuzzification
Result and Discussion
Findings
Conclusion
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