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All Journal Journal of Computer Science and Informatics Engineering (J-Cosine)
Ramaditia Dwiyansaputra
Dept Informatics Engineering, University of Mataram
Computer Science & IT

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Pengelompokan Provinsi di Indonesia Berdasarkan Indikator Pendidikan Menggunakan Metode K-Means Clustering: Grouping Provinces in Indonesia Based on Education Indicators Using the K-Means Clustering Method Mindi Richia Putri; Gibran Satya Nugraha; Ramaditia Dwiyansaputra
Journal of Computer Science and Informatics Engineering (J-Cosine) Vol 7 No 1 (2023): June 2023
Publisher : Informatics Engineering Dept., Faculty of Engineering, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jcosine.v7i1.509

Abstract

The education level of the Indonesian people has improved, but has not yet reached the entire population. The educational disparity that occurs between economic groups is still a problem and widens as the level of education increases. The education gap is also still high when compared between regions. Quality learning also has not run optimally and evenly between regions. Accurate and complete information is needed as a reference in planning and determining the right strategy in facing development challenges in the education sector. This information is expected to explain the current condition and situation of education development in Indonesia. This study aims to group provinces in Indonesia based on educationalindicators using the K-Means method. The data and parameters used are based on a portrait of education statistics in Indonesia in 2020. This study shows that clustering produces the best cluster quality at K=3 based on the Silhouette Coefficient
Co-Authors Gibran Satya Nugraha Mindi Richia Putri