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 BPS (Central Statistics Agency) noted that in 2019 the number of motorcycle sales reached 106.657.952 units, and the AISI (Indonesian Motorcycle Industry Association) 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 CVT (Continuous Variable Transmission), which is an automatic speed transfer system according to engine speed using a V-belt. In previous research, the use of IoT (Internet of Things) 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 CBR (Case Based Reasoning) method to solve damage to matic motor components. The results of this study are (a) the case average value is 0,76, (b) the CVT component parameter is 80% the average value is 0,94, (c) the CVT component weight parameter is from 60% the average value is 1,26.

Aplikasi Sistem Pakar Klasifikasi Kesehatan Lingkungan Permukiman Dengan Metode Certainty Factors

“…Pemindahan pengetahuan yang dimiliki pakar ke dalam komputer [29] dan menjadikan pengetahuan sebagai kesimpulan atau keputusan merupakan dasar sistem pakar [30] [23]. Bentuk umum sistem pakar berupa suatu program suatu aturan analisis informasi tentang suatu masalah yang spesifik serta analisis matematis dari masalah [27] [31]. Perancangan aplikasi Sistem pakar yang baik dapat menjadi alat bantu penyelesaian suatu masalah dengan meniru kerja dari para ahli [24] [32].…”

Development of a mobile expert system for the diagnosis on motorcycle damage using forward chaining algorithm

“…An inference mechanism also exists for analysis and assessment. Therefore, this allows for easy-to-use interfaces which allow the system to operate without extensive training for non-technical users [5], [6]. Various systems also explain the output generated or suggest alternatives to choose from as requested by the user [18].…”

“…The inference method is a part of an expert system that provides a mechanism for the function of thinking and patterns of reasoning used by an expert. This approach discovers the best answers and conclusions for question analysis following the database rules based on facts [5], [6], [9], [21], [22]. Expert systems for clustering the damage to an autonomous motorcycle have been developed in prior studies utilizing the K-means method and the findings of decision tree-based rules (decision tree) [23].…”