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All Journal SKANIKA: Sistem Komputer dan Teknik Informatika
Wahyudi, Nabella Rosyefa
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Computer Science & IT Control & Systems Engineering Engineering

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IMPLEMENTASI RAPIDMINER UNTUK MENENTUKAN SISWA UNGGULAN MENGGUNAKAN METODE K-MEANS Wahyudi, Nabella Rosyefa; Rahmawati, Yunianita; Supriyanto, Supriyanto
SKANIKA: Sistem Komputer dan Teknik Informatika Vol 7 No 2 (2024): Jurnal SKANIKA Juli 2024
Publisher : Universitas Budi Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36080/skanika.v7i2.3173

Abstract

This research aims to apply the K-Means Method and RapidMiner in identifying superior students based on the scores of Mathematics, Science, and Social Studies subjects at SMP Negeri 11 Sampit. With a dataset consisting of 24 attributes and 31 student data, the K-Means Method successfully clusters students based on the similarity of the grades the students obtained. The model evaluation results show that the best cluster value is 2 clusters. The use of the K-Means Method in this study is a solution to the difficulty in determining superior students at SMP Negeri 11 Sampit because students' abilities tend to be balanced in each semester. This research provides insight that the K-Means Method is effective in determining superior students and can be a useful tool in educational evaluation.
Co-Authors Supriyanto Supriyanto Yunianita Rahmawati, Yunianita