Open AccessExpert System in Clustering the Damage of a Motorcycle Matic with the K-Means Algorithm
Author(s) -
Rusdiansyah,
Mohammad Badrul,
Tuslaela,
Hendra Supendar,
Nining Suharyanti,
Agus Junaidi
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1641/1/012002
Subject(s) - cluster analysis , computer science , algorithm , k means clustering , compression (physics) , expert system , data mining , artificial intelligence , materials science , composite material
Research on Expert Systems to Diagnose Matic Motorcycle Engine Damage by applying Algortima K-means. Research to detect damage to an automatic motorcycle by observing the symptoms of an automatic motorcycle. This study aims to help Matic Motorcycle users to find out about damage to the automatic motorcycle based on the results of the application of the K-Means algorithm without having to meet with experts directly. Research by applying Algortima k-Means by forming groupings based on electrical damage, compression and engine performance, continuous variable transmission timing and automatic sensors so that the damage can be grouped. The results of the expert system research with the K-Means Algorithm can help matic motorcycle users to find out the type of damage based on the grouping that has been determined by the K-Means algorithm.