Matic motorcycle transmission damage detection system using internet of things-based expert system

Abstract

The development of the motorcycle industry in Indonesia has developed quite significantly from year to year, the Central Statistics Agency noted that in 2019 the number of motorcycle sales reached 106,657,952 units, and the Indonesian motorcycle industry association (AISI) in 2020 the type of scooter (matic) of 2,696,557 units or 87.9%, this automatic type of motorbike is the largest contributor to two-wheeled vehicles and is the favorite type of vehicle for Indonesians. Automatic transmission or what is known as continuous variable transmission (CVT), is an automatic speed transfer system according to engine speed using a V-belt. In previous research, the use of internet of things (IoT) is used as an automatic air quality monitoring control system, air quality conditions can be seen quickly and accurately from the monitor. The goal of this study is to use a vibration sensor and the case-based reasoning (CBR) method to solve damage to matic motor components. The results of this study are: i) the case average value is 0.76, ii) the CVT component parameter is 80% the average value is 0.94, and iii) the CVT component weight parameter is from 60% the average value is 1.26.