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Model sistem pendukung keputusan menggunakan FIS Mamdani untuk penentuan tekanan udara ban

Decision support system model using FIS Mamdani for determining tire pressure

Department of Information System, Universitas Teknokrat Indonesia. Jl. Zainal Abidin No. 9-11 Kedaton Bandar Lampung 12940, Indonesia

Received: 9 Jun 2020; Revised: 18 Oct 2020; Accepted: 21 Oct 2020; Published: 31 Jan 2021; Available online: 26 Nov 2020.
Open Access Copyright (c) 2021 The Authors. Published by Department of Computer Engineering, Universitas Diponegoro
Creative Commons License This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

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Tire air pressure is very important in driving, providing comfort, safety, and efficiency in fuel consumption. This study aims to create a model that can determine the measurement of tire air pressure. The model was developed based on the Mamdani FIS with five input parameters: load weight (load capacity), weather, mileage, rim diameter, and tire thickness. Mamdani inference generates front and rear tire air pressure. The calculation of tire pressure using the system was compared with a manual that only considers the vehicle load. This comparison shows the difference in the mean size of 1.24% for the front tire pressure and 2.17% for the rear tire. The system can provide recommendations for tire air pressure by considering several parameters in addition to vehicle load.
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Keywords: FIS Mamdani model; fuzzy logic; tire pressure; decision support system
Funding: Universitas Teknokrat Indonesia

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Section: Original Research Articles
Language : ID
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