Paper The following article is Open access

Expert System in Clustering the Damage of a Motorcycle Matic with the K-Means Algorithm

, , , , and

Published under licence by IOP Publishing Ltd
, , Citation Rusdiansyah et al 2020 J. Phys.: Conf. Ser. 1641 012002 DOI 10.1088/1742-6596/1641/1/012002

1742-6596/1641/1/012002

Abstract

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.

Export citation and abstract BibTeX RIS

Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.

Please wait… references are loading.
10.1088/1742-6596/1641/1/012002