Jurnal Komputer, Informasi dan Teknologi
Vol. 2 No. 2 (2022): Desember

Analysis of The Theme Clustering Algorithm Using K-Means Method

Putra, Erwin Dwika (Unknown)
Rifqo, Muhammad Husni (Unknown)
Deslianti, Dwita (Unknown)
Krismiyani, Krismiyani (Unknown)

Article Info

Publish Date
12 Dec 2022

Abstract

The title of this research is the analysis of the thesis theme clustering algorithm using the k-means method. The main problem is how we can find out which theme is most in demand by thesis students at the Faculty of Engineering, University of Muhammadiyah Bengkulu. This clustering uses the K-means method. The K-Means method was chosen because this method is one of the non-hierarchical data clustering methods that seeks to partition data into two or more clusters with the same characteristics included in the same cluster. The purpose of this research is to help prospective students who will write their thesis in knowing which themes are more interested in them.

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Journal Info
Jurnal Komputer, Informasi dan Teknologi
Website

Abbrev

KOMITEK

Publisher

Indonesian Journal Publisher

Subject

Computer Science & IT Electrical & Electronics Engineering

Description

KOMITEK Journal (Computer, Information and Technology) journal was founded in 2021. It is an interesting and useful national journal for all parties with an interest in research in various fields of, or closely related to, the disciplines of Computer, Information and Technology. KOMITEK Journal aims ...