Identification Of Disparities In Educational Facilities Among Indonesian Provinces Using K-Means Clustering
DOI:
https://doi.org/10.62375/jsintak.v4i2.790Kata Kunci:
Educational Facility Indicators, Principal Component Analysis, K-Means Clustering AnalysisAbstrak
Education is one of the indicators used to measure a country's progress, due to its important role in producing quality human resources. Good education is certainly supported by the availability of adequate educational facilities. However, Indonesia's diverse geography poses a challenge in terms of equal access to education. Provinces classified as 3T regions face a shortage of educational facilities and teaching staff. This study aims to group provinces in Indonesia based on educational facility indicators for the 2023/2024 academic year using K-Means Clustering Analysis. The data used covers 38 provinces with 18 educational facility indicators, which were analyzed after data pre-processing. The results of this study obtained 3 clusters, where the first cluster consisted of 1 province with poor access and infrastructure conditions, the second cluster consisted of 17 provinces with fairly good access and infrastructure conditions, and the third cluster consisted of 20 provinces with very good access and infrastructure conditions. The clustering results from this study are expected to serve as a reference for the formulation of policies on the equitable distribution of educational facilities and the determination of development priorities in the education sector in Indonesia.
Referensi
P. Ananda et al., Revolusi Pendidikan Indonesia: Mencetak Generasi Cerdas di Era Digital, 1st ed. Bandung, Indonesia: Uwais Inspirasi Indonesia, 2025. [Online]. Available: www.penerbituwais.com.
A. Rahman, M. Syafii, dan S. H. Hakim, Kesejahteraan dan Indikator Kunci Pembangunan, hlm. 113–118. Bandung, Indonesia: CV Merdeka Kreasi Group, 2021.
Sumarni et al., Komparasi Sistem Pendidikan Indonesia dan Negara Maju Benua Asia, Eropa dan Amerika, hlm. 37–38. Yogyakarta, Indonesia: CV Idebuku, 2025.
Y. S. Wahyuni and Y. Miaz, Pendidikan Global Multikultural dan Resolusi Konflik, Padang, Indonesia: UMSB Press, 2024.
J. A. Banks, Diversity, Transformative Knowledge, and Civic Education: Selected Essays, New York, NY, USA: Routledge, 2020. doi: 10.4324/9781003018360. :contentReference[oaicite:0]{index=0}
N. Feriyanto, Ekonomi Sumber Daya Manusia: Teori dan Evaluasi Kebijakan Pengentasan Kemiskinan dan Pengangguran di Indonesia, hlm. 128–141. Yogyakarta, Indonesia: Deepublish Digital, 2025.
N. R. Handitia dan A. Sofro, “Analisis Klaster Kecamatan di Kota Surabaya Berdasarkan Data Pendidikan Tahun 2022–2023,” Jurnal Gaussian, vol. 13, no. 2, pp. 351–362, 2024, doi: 10.14710/j.gauss.13.2.351-362.
Y. A. Priambodo dan Y. J. Prasetyo, “Pemetaan Penyebaran Guru di Provinsi Banten dengan Menggunakan Metode Spatial Clustering K-Means,” Indonesian Journal of Computing and Modeling, vol. 5, 2018.
S. Hanifah dan A. H. Primandari, “Implementasi Metode K-Means Clustering dalam Pengelompokan Kabupaten/Kota di Provinsi NTB Berdasarkan Indikator Pendidikan,” Emerging Statistics and Data Science Journal, vol. 1, no. 3, 2023.
N. Lenama, M. A. Kleden, dan I. G. Pasangka, “K-Means Clustering Analysis pada Pengelompokan Kabupaten/Kota di Provinsi Nusa Tenggara Timur Berdasarkan Indikator Pendidikan,” Jurnal Cakrawala Ilmiah, vol. 2, no. 2, 2023.
A. P. Fialine, D. A. Alodia, D. Endriani, dan E. Widodo, “Implementasi Metode K-Medoids Clustering untuk Pengelompokan Provinsi di Indonesia Berdasarkan Indikator Pendidikan,” SEPREN: Journal of Mathematics Education and Applied, vol. 2, no. 2, 2021.
R. R. Inkiriwang, R. Singal, dan J. V. Roeroe, “Kewajiban Negara dalam Penyediaan Fasilitas Pendidikan kepada Masyarakat Menurut Undang-Undang Nomor 20 Tahun 2003 tentang Sistem Pendidikan Nasional,” vol. 8, no. 2, 2020.
A. Angreini, R. A. Sugianto, A. N. Indahsari, R. M. Sari, dan M. R. Romahdoni, Machine Learning dengan Python: Langkah Demi Langkah untuk Pemula, hlm. 113–123. Jakarta, Indonesia: PT Serasi Media Teknologi, 2025.
M. R. Muttaqin dan M. Defriani, “Algoritma K-Means untuk Pengelompokan Topik Skripsi Mahasiswa,” ILKOM Jurnal Ilmiah, vol. 12, no. 2, pp. 121–129, 2020, doi: 10.33096/ilkom.v12i2.542.121-129.
M. Wahyudi, Mashita, R. Saragih, dan Solikhun, Data Mining: Penerapan Algoritma K-Means Clustering dan K-Medoids Clustering, 1st ed. Medan, Indonesia: Yayasan Kita Menulis, 2020.
Unduhan
Diterbitkan
Cara Mengutip
Terbitan
Bagian
Lisensi
Hak Cipta (c) 2026 Ananda Desilia Putri, Harni Selasih Dewi, Edy Widodo
Artikel ini berlisensi Creative Commons Attribution 4.0 International License.
