| Issue |
MATEC Web Conf.
Volume 197, 2018
The 3rd Annual Applied Science and Engineering Conference (AASEC 2018)
|
|
|---|---|---|
| Article Number | 03015 | |
| Number of page(s) | 4 | |
| Section | Computer Science | |
| DOI | https://doi.org/10.1051/matecconf/201819703015 | |
| Published online | 12 September 2018 | |
Design of expert system for train operational feasibility with Tsukamoto fuzzy inference system
UIN Sunan Gunung Djati Bandung, Department of Informatics, Jl. A.H. Nasution No. 105, Bandung, Indonesia
* Corresponding author: m_ali_ramdhani@uinsgd.ac.id
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.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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