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All Journal Journal of Applied Science, Technology & Humanities
Nur Ilham Febriansyah
IPB UNIVERSITY
Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Social Sciences

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Application of Fuzzy Logic to Motorcycle Oil Change Cycle with 10W 30 Oil Viscosity Zata Ismah Sumayyah; Brian Mariano Rahmanto; Muhammad Caesar Hidayat; Nur Ilham Febriansyah; Veto Adi Pertama; Dwi Yulinar Chairunisa; Agung Prayudha Hidayat
Journal of Applied Science, Technology & Humanities | JASTH Vol. 2 No. 1 (2025): January 2025
Publisher : Batrisya Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62535/ypjkqg79

Abstract

Oil is a fluid that serves to lubricate the engine, so that friction between engine components is relatively small. Oil changes are based on mileage, oil volume, and oil viscosity levels which usually vary depending on the needs of the vehicle's engine. Most riders are often late and do not even know the routine time of oil changes so that the user's motorcycle engine feels damaged. The application of fuzzy logic has become an important approach in modeling the complex and ambiguous system of motorcycle oil change periods with 10W 30 oil viscosity. The purpose of this study is to determine the application of fuzzy logic in determining the optimal oil. exchange interval. Oil is based on factors such as mileage, oil volume, and oil viscosity when viewed from motorcycle use. To represent these variables using fuzzy sets, a fuzzy logic control system was developed that takes into account oil wear and motorcycle operating conditions which was implemented using the mamdani method and calculated using matlab software. The results showed that oil change intervals tailored to operating conditions and the environment can improve engine performance, reduce maintenance costs and extend component life.
Co-Authors Agung Prayudha Hidayat Brian Mariano Rahmanto Dwi Yulinar Chairunisa Muhammad Caesar Hidayat Veto Adi Pertama Zata Ismah Sumayyah