Segmentation of Village Accessibility of Education Service Facilities in Ogan Komering Ulu Selatan Regency

https://doi.org/10.22146/jkap.60773

Ahmad Rahmadhan Mustar(1), Kiagus Muhammad Sobri(2*), Sriati Sriati(3)

(1) Badan Pusat Statistik, Ogan Komering Ulu Regency
(2) Magister Administrasi Publik Universitas Sriwijaya
(3) Magister Administrasi Publik Universitas Sriwijaya
(*) Corresponding Author

Abstract


Education is one of the most important aspects in the development and every citizen has the right to education, and the government is obliged to finance as mandated in the 1945 Constitution. However, the disparity in education access and equity is a problem faced by education in various regions in Indonesia, especially in rural areas. One of the efforts to solve the disparity in educational facilities in rural areas is to carry out village development by increasing the availability and accessibility of educational facilities through the village fund policy. Problem structuring is needed to formulate problems and produce knowledge about what problems must be solved, so that the use of village funds in increasing the accessibility of educational facilities is effective and efficient. In policy analysis, problem formulation is very important, so that the implemented policy resolves the right problems and avoids type III errors. One of the methods used in problem structuring is the classification method. Classification/segmentation of educational facilities accessibility is conducted using the Self Organizing Map algorithm approach. The results of the classification will map the problems and conditions of accessibility of village education facilities in Ogan Komering Ulu Selatan regency into several segments or clusters. This information can be used as a guide for the government in planning or determining development priorities, so that type III errors do not occur, particularly in the development of accessibility of educational facilities in villages. Thus, the use of village funds or other public policies resolves the right problems.


Keywords


accessibility; classification; education; public policy; self-organizing map

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References

Andrianto, I., & Iskandar, D. A. (2020). Pembangunan Daerah dalam Kemiskinan dan Konvergensi/Divergensi Wilayah. Jurnal Litbang Sukowati, 4(1), 1–13.

Arif, A., & Maksum, I. R. (2017). Functional decentralization Construct in Decentralization Policy in Indonesia (A study of Irrigation, Education, and Free trade sectors). JKAP (Jurnal Kebijakan dan Administrasi Publik), 21(1), 56-75. https://doi.org/10.22146/jkap.25383

Aziz, N. L. L. (2016). Otonomi Desa dan Efektivitas Dana Desa. Jurnal Penelitian Politik, 13(2), 193-211.

Budiman, R., & Cahyono, A. B. (2017). Analisis Spasial Fasilitas Pelayanan Kesehatan Masyarakat Terhadap Pengunjung di Kota Blitar. Jurnal Teknik ITS, 6(2), 2–5. https://doi.org/10.12962/j23373539.v6i2.23658

Cottrell, M., Olteanu, M., Rossi, F., & Villa-Vialaneix, N. (2018). Self-organizing maps, theory and applications. Investigacion Operacional, 39(1), 1-22.

Dunn, W. N. (2018). Public policy analysis: An Integrated Approach (Sixth Edition). New York: Routledge.

Fausett, L. (2017). Fundamentals Of Neural Network Architectures, Algorithms, and Applications. London: Pearson Education.

Jamaluddin, Y., Sumaryana, A., Rusli, B., & Buchari, R. A. (2018). Analisis Dampak Pengelolaan dan Penggunaan Dana Desa terhadap Pembangunan Daerah. JPPUMA: Jurnal Ilmu Pemerintahan Dan Sosial Politik Universitas Medan Area, 6(1), 14-24. https://doi.org/10.31289/jppuma.v6i1.1520

Junita, N., Juniardi, F. and Azwansyah, H. (2017). Analisis Aksesibilitas Infrastruktur Pedesaan di Kota Singkawang Provinsi Kalimantan Barat. JeLAST: Jurnal PWK, Laut, Sipil, Tambang, 4(4), 1–12.

Oktavia, R. (2020). Village Fund and Poverty Alleviation in Kulon Progo Regency Rina. JKAP (Jurnal Kebijakan dan Administrasi Publik), 24(1), 79–94.

Park, K., & Yilmaz, A. (2010). A social network analysis approach to analyze road networks. American Society for Photogrammetry and Remote Sensing Annual Conference 2010: Opportunities for Emerging Geospatial Technologies, 2, 754–759.

Silvi, R. (2018). Analisis Cluster dengan Data Outlier Menggunakan Centroid Linkage dan K-Means Clustering untuk Pengelompokkan Indikator HIV/AIDS di Indonesia. Jurnal Matematika “MANTIK,” 4(1), 22–31. https://doi.org/10.15642/mantik.2018.4.1.22-31

Sunardi, Soelistijadi, R., & Handayani, D. U. N. (2005). Pemanfaatan Analisis Spasial untuk Pengolahan Data Spasial Sistem Informasi Geografi. Jurnal Teknologi Informasi DINAMIK, 10(2), 108–116.

Valente, T. W., Palinkas, L. A., Czaja, S., Chu, K. H., & Brown, C. H. (2015). Social network analysis for program implementation. PLoS ONE, 10(6), 1–18. https://doi.org/10.1371/journal.pone.0131712

Vito, B., & Krisnani, H. (2015). Kesenjangan KESENJANGAN PENDIDIKAN DESA DAN KOTA. Prosiding Penelitian dan Pengabdian Kepada Masyarakat, 2(2), 247-251. https://doi.org/10.24198/jppm.v2i2.13533



DOI: https://doi.org/10.22146/jkap.60773

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