Klasterisasi Penerima Bantuan Fasilitas Sekolah di MI Datuk Singaraja Menggunakan Metode K-Means:

Akhmad Khanif Zyen; Gentur Wahyu Nyipto  Wibowo; Nur Aeni Widiastuti; Buang Budi Wahono

doi:10.02220/jtinfo.v2i1.482

Akhmad Khanif Zyen
Gentur Wahyu Nyipto Wibowo UNISNU Jepara
Nur Aeni Widiastuti UNISNU Jepara
Buang Budi Wahono UNISNU Jepara

DOI: https://doi.org/10.02220/jtinfo.v2i1.482

Keywords: Data Mining, Clustering, K-Means, Assistance, Islamic Elementary School Datuk Singaraja Kerso.

Abstract

Education is the key to the formation of quality human resources. But in reality there are still various kinds of problems that exist in the world of education in this country. The existence of facility assistance from schools is a result of these problems. However, various questions arise regarding the provision of this school facility assistance, for example whether it is in accordance with the targets and criteria in providing the assistance. in this study using the K-Means Clustering Algorithm method. The data used are 516 student data from 2021 to 2022 with 4 attributes, namely report cards, Orphan/No Student Status, Parental Income, Discipline. The results obtained are 3 Clusters where in Cluster 1 there are 180 students with most students excel with very good report cards with affluent economic conditions. In Cluster 2 there are 13 students, mostly students with incomplete parents. In Cluster 3 there are 323 students, mostly students with very decent discipline values with family and economic conditions which should be prioritized to receive assistance. It is hoped that with the formation of a clustering of candidates for the assistance of MI Datuk Singaraja Kerso school facilities, the school can use this information as a reference to form a better priority group of beneficiaries to match the targets and criteria.

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Klasterisasi Penerima Bantuan Fasilitas Sekolah di MI Datuk Singaraja Menggunakan Metode K-Means