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All Journal Journal of Informatics Management and Information Technology Bulletin of Informatics and Data Science
Indri Fatma
STIKOM Tunas Bangsa, Pematangsiantar
Computer Science & IT Electrical & Electronics Engineering Engineering

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Journal : Bulletin of Informatics and Data Science

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Analisis Metode K-Medoids Cluster Dalam Mengelompokkan Siswa Yang Berprestasi Indri Fatma; Heru Satria Tambunan; Fitri Rizki
Bulletin of Informatics and Data Science Vol 1, No 1 (2022): May 2022
Publisher : PDSI

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Abstract

Cluster analysis of outstanding students using data mining, namely the K-Medoid Cluster Algorithm. Previously, the school still used the manual method in determining students who excel at the school, so it took a long time and the results were not accurate. K-Medoid Cluster is one of the algorithms used for data classification or grouping, the authors apply the K-Medoid Cluster algorithm in grouping students with high achievement in order to get more accurate, fast, and effective results.
Co-Authors Agus Perdana Windarto Fica Oktavia Lusiana Fitri Rizki Heru Satria Tambunan