Abstract
The abundance of students causes student data in the system to also be abundant. Schools often find it difficult to manage large amounts of data manually, especially in selecting National Science Olympiad participants and decisions made are less effective. So this research was conducted with the aim of helping the school in selecting OSN participants appropriately and effectively. The method used is Clustering with K-Means algorithm on the report card grades of students majoring in Natural Sciences at SMA Negeri 5 Sijunjung. The results in this study get 3 clusters of students on the selection of OSN participants, namely students who are Very Competent, Competent and Less Competent. This research can be used as a benchmark used by schools in making decisions on the selection of OSN participants.
Highlights
The abundance of students causes student data in the system to be abundant
So this research was conducted with the aim of helping the school
The method used is Clustering with K-Means algorithm on the report card grades
Summary
Agar penelitian berjalan dengan baik, maka diperlukan Data yang digunakan dalam penelitian ini adalah data kerangka kerja dari penelitian. Kerangka penelitian nilai rapor akademik siswa jurusan IPA di SMA Negeri merupakan tahapan-tahapan yang dilakukan dalam 5 Sijunjung. Data didapatkan dari hasil penelitian menyelesaikan penelitian.adapun kerangka kerja lapangan yang dilakukan di SMA Negeri 5 Sijunjung penelitian dapat dilihat pada Gambar 1. Melalui pengambilan file dan melakukan wawancara dengan pihak sekolah
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