Proceedings of the International Conference on Educational Research and Innovation (ICERI 2019)

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Smart System for Diagnosing Motorcycle Damage Using Adaptive Neuro-Fuzzy Inference System for Future Transportation

Authors
Fatchul Arifin, Nur Hasanah, Dessy Irmawati, Zainal Arifin
Corresponding Author
Fatchul Arifin
Available Online 12 February 2020.
DOI
10.2991/assehr.k.200204.008How to use a DOI?
Keywords
ANFIS, sound identification, motorcycle damage, mobile, android
Abstract

Motorcycle is one of popular vehicles in Indonesia and predicted the use will continually increase. Indonesian Motorcycle Industries Association states that in 2016, the total sales of motorcycle nationally was 5.931.285 units. The more sophisticated the motorcycle machine, the more precise maintenance needed. One of the ways is damage diagnosing ability on motorcycle. The motorcycle damage may be diagnosed based on the motor sounds heard. The aims of the current research were (1) producing the smart system product of ANFIS (Adaptive Neuro Fuzzy Inference System) to diagnose the motorcycle damage through the motor sound. (2) Analyzing the accuracy level of smart system using ANFIS. Smart system application was built using prototype development model. ANFIS built for this application consisted of 5 inputs and 1 output, with 243 rules. The lowest RSME score was 1.1056e-08, obtained from the evaluation result of Data Training and Data Testing using MF Triangular (trimf) and Trapezoidal (trapmf), Hybrid optimization method, error tolerance 0.0001 and epoh was 30. The result of Alpha Test was 4.7 and including into Very Good category. Meanwhile, the total score obtained from the Beta Test was 4.6 and including into the Very Good category.

Copyright
© 2020, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the International Conference on Educational Research and Innovation (ICERI 2019)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
12 February 2020
ISBN
978-94-6252-902-1
ISSN
2352-5398
DOI
10.2991/assehr.k.200204.008How to use a DOI?
Copyright
© 2020, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

risenwbib
TY  - CONF
AU  - Fatchul Arifin
AU  - Nur Hasanah
AU  - Dessy Irmawati
AU  - Zainal Arifin
PY  - 2020
DA  - 2020/02/12
TI  - Smart System for Diagnosing Motorcycle Damage Using Adaptive Neuro-Fuzzy Inference System for Future Transportation
BT  - Proceedings of the International Conference on Educational Research and Innovation (ICERI 2019)
PB  - Atlantis Press
SP  - 37
EP  - 43
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.200204.008
DO  - 10.2991/assehr.k.200204.008
ID  - Arifin2020
ER  -