đź“… 31 October 2025
DOI: 10.30646/tikomsin.v13i2.1007
PENERAPAN METODE K-MEANS CLUSTERING UNTUK PENGELOMPOKAN SISWA BERDASARKAN PRESTASI DI SD N 03 SANGGANG SUKOHARJO
Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN)
Universitas Tiga Serangkai
đź“„ Abstract
The rapid advancement of data science has made data processing a critical requirement across various fields, including education. Educational institutions are increasingly required to leverage available resources and information systems to enhance competitiveness and support strategic decision-making. Student achievement is generally assessed through both theoretical and practical subjects; however, determining achievement groups (very good, good, sufficient) often lacks efficiency, limiting early identification by homeroom teachers. This study applies the K-Means Clustering method to classify students' achievement levels at SD N Sanggang 03. The objective is to develop a system that assists teachers in grouping students based on performance categories—very good, good, and sufficient—thereby supporting data-driven decision-making in academic evaluation. The system was implemented using PHP and MySQL, with evaluation employing the Modified Partition Coefficient to measure clustering quality.
đź”– Keywords
#Data Mining
#K-Means Clustering
#Student Achievement Grouping
#Educational Data Analysis
#Modified Partition Coefficient
ℹ️ Informasi Publikasi
Tanggal Publikasi
31 October 2025
Volume / Nomor / Tahun
Volume 13, Nomor 2, Tahun 2025
đź“ť HOW TO CITE
Restyanto, Dika; Sandradewi, Kumaratih; Vulandari, Retno Tri; , "PENERAPAN METODE K-MEANS CLUSTERING UNTUK PENGELOMPOKAN SISWA BERDASARKAN PRESTASI DI SD N 03 SANGGANG SUKOHARJO," Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN), vol. 13, no. 2, Oct. 2025.
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