GIS-BASED ANALYSIS OF SENIOR AND VOCATIONAL HIGH SCHOOL DISTRIBUTION PATTERNS IN KEPULAUAN YAPEN REGENCY
Keywords:
GIS, spatial distribution, highschool, average nearest neighborAbstract
This study examines how Senior High Schools (SMA) and Vocational High Schools (SMK) are distributed across Kepulauan Yapen Regency using Geographic Information Systems (GIS). School location data were taken from the Ministry of Education and verified through Google Maps, while administrative maps were obtained from the Geospatial Information Agency (BIG). Spatial analysis was carried out in ArcGIS Pro using the Average Nearest Neighbor (ANN), Mean Center, Standard Distance, and Standard Deviational Ellipse tools. The results show that the observed mean distance between schools is smaller than the expected mean distance, with a nearest-neighbor ratio of 0.779877, a z-score of −1.975184, and a p-value of 0.048247. These figures indicate that the distribution pattern is clustered at the 95% confidence level. The analysis also shows that most schools are concentrated along the southern coastal area, particularly around Serui in Yapen Selatan District, while the northern and outer island areas have fewer facilities and wider spacing between them. This shows that students in remote areas face relatively limited access to upper secondary education.
References
Aule, D. S., Jibril, M. S., & Adewuyi, T. O. (2023). Geostatistical Analysis of Accessibility to Secondary Schools in Parts of Benue State. Journal of Geographic Information System, 15(01), 1–18. https://doi.org/10.4236/jgis.2023.151001
Bakari, A., & Sidik, F. (2025). Spatial Inequality and Accessibility of Senior High School Education in Bonebolango Regency. Scaffolding: Jurnal Pendidikan Islam Dan Multikulturalisme, 7(2), 316–332. https://doi.org/10.37680/scaffolding.v7i2.7526
Benz, R. (2025). Geographical constraints and upper secondary track choice: does distance to schools prevent students from entering school-based programmes? Review of Regional Research. https://doi.org/10.1007/s10037-025-00249-9
Brodny, J., & Tutak, M. (2024). A multi-criteria measurement and assessment of human capital development in EU-27 countries: A 10-year perspective. Journal of Open Innovation: Technology, Market, and Complexity, 10(4). https://doi.org/10.1016/j.joitmc.2024.100394
Bruno, G., Cavola, M., Diglio, A., & Piccolo, C. (2022). Geographical accessibility to upper secondary education: an Italian regional case study. The Annals of Regional Science, 69(2), 511–536. https://doi.org/10.1007/s00168-022-01146-6
Cahyani, N. D., Fajriyanto, & Tridawati, A. (2025). ANALISIS SPASIAL PERSEBARAN SEKOLAH BERDASARKAN KETERJANGKAUAN DAN KENYAMANAN TERMAL MENGGUNAKAN SISTEM INFORMASI GEOGRAFIS DI KECAMATAN KOTABUMI SELATAN KABUPATEN LAMPUNG UTARA. DATUM : Journal of Geodesy and Geomatics, 5(1), 23–34.
Canatay, A., Prieto, L., & Amin, M. R. (2025). Navigating the Convergence of Global Competitiveness and Sustainable Development: A Multi-Level Analysis. Sustainability (Switzerland), 17(12), 1–39. https://doi.org/10.3390/su17125361
Guijarro-Garvi, M., Miranda-Escolar, B., Cedeño-Menéndez, Y. T., & Moyano-Pesquera, P. B. (2024). Does geographical location impact educational disparities among Ecuadorians? A novel two-stage inequality decomposition method. Humanities and Social Sciences Communications, 11(1), 1–17. https://doi.org/10.1057/s41599-024-04068-0
Hadibasyir, H. Z., Amin, C., Wulandari, R. D., Maulidianti, P., & Firdaus, N. S. (2025). Integration of Sentinel Imagery and Geographic Information System for Analysing Spatial Distribution of Senior and Vocational High School Education Facilities in West Bandung Regency, Indonesia. Dinasti International Journal of Management Science, 6(5), 1314–1324. https://doi.org/10.38035/dijms.v6i5.4054
Hazans, M., Holmen, R. B., Upenieks, J., & Žabko, O. (2025). STEM-oriented secondary education in Latvia: spatial inequalities in access and achievements. Regional Studies, Regional Science, 12(1), 682–702. https://doi.org/10.1080/21681376.2025.2525432
Jiang, J., Wang, Z., Yong, Z., He, J., Yang, Y., & Zhang, Y. (2024). Spatial Distribution and Accessibility Analysis of Primary School Facilities in Mega Cities: A Case Study of Chengdu. Sustainability (Switzerland), 16(2). https://doi.org/10.3390/su16020723
Lesnawati, L., Triatna, C., & Devi Cahya Ruhimat, M. (2025). Architecting Educational Equity Through School Mapping: Where Are The Effective Locations For Junior High Schools Establishment in Subang? Journal of Education and Teaching (JET), 6(3), 603–625. https://doi.org/10.51454/jet.v6i3.648
Mandahu, T. (2025). Education and Social Mobility in Emerging Economies: A Review of Barriers and Opportunities. International Journal of Social Science and Applied Technology, 1(1), 21–28. https://doi.org/10.64391/ijssat.v1i1.003
Meena, D. K., Tripathi, R., & Agrawal, S. (2023). An evaluation of primary schools and its accessibility using GIS techniques: a case study of Prayagraj district, India. In GeoJournal (Vol. 88, Issue 2). Springer Netherlands. https://doi.org/10.1007/s10708-022-10715-3
Muhaimin, A. A., Gamal, A., Setianto, M. A. S., & Larasati, W. L. (2022). The spatial justice of school distribution in Jakarta. Heliyon, 8(11), e11369. https://doi.org/10.1016/j.heliyon.2022.e11369
Petre, A. A., Dumitrache, L., Mareci, A., & Cioclu, A. (2025). The Urban–Rural Education Divide: A GIS-Based Assessment of the Spatial Accessibility of High Schools in Romania. ISPRS International Journal of Geo-Information, 14(5), 1–20. https://doi.org/10.3390/ijgi14050183
Pezzulo, C., Alegana, V. A., Christensen, A., Bakari, O., & Tatem, A. J. (2022). Understanding factors associated with attending secondary school in Tanzania using household survey data. PLoS ONE, 17(2 February), 1–18. https://doi.org/10.1371/journal.pone.0263734
Putri, E. H., Werdiningtyas, R. R., & Widodo, C. E. (2025). Spatial Assessment of the Conformity Between Educational Facility Needs and Provision in Surakarta City Based on SNI Standards, 2004–2024. Journal of Geosciences and Environmental Studies, 2(2), 23. https://doi.org/10.53697/ijgaes.v2i2.4064
Rahmawati, Usman, Hanifa, Y. S., Fadjarajani, S., & Darmawan, C. (2025). ANALISIS POLA SEBARAN SEKOLAH DASAR NEGERI DENGAN METODE NEAR NEIGHBOUR ANALYSIS DI KECAMATAN CIHIDEUNG. Jurnal Media Akademik, 3(10).
Raj, S. S., & Sandasagan, K. (2024). Accessibility of Technology Affecting Pupils’ Learning in Rural Schools. International Journal on Science and Technology, 15(4), 1–14. https://doi.org/10.71097/ijsat.v15.i4.1254
Ristanto, K. P., & Rindarjono, G. (2023). Analisis Persebaran Dan Jangkauan Sekolah Menengah. Geadidaktika, 3(1).
Rodriguez-Segura, D., & Kim, B. H. (2021). The last mile in school access: Mapping education deserts in developing countries. Development Engineering, 6. https://doi.org/10.1016/j.deveng.2021.100064
Ruhaimi, I., & Yenny, N. (2023). Analisis Pola Persebaran Dan Keterjangkauan Sekolah Menengah Atas (SMA) Di Kabupaten Karawang Menggunakan Sistem Informasi Geografis (SIG). Geosfera: Jurnal Penelitian Geografi (GeoJPG), 4(2), 294–303. https://eprints.ums.ac.id/id/eprint/112648%0Ahttps://eprints.ums.ac.id/112648/1/Naskah Publikasi.pdf
Sajjad, M., Munir, H., Kanwal, S., & Asad Naqvi, S. A. (2022). Spatial inequalities in education status and its determinants in Pakistan: A district-level modelling in the context of sustainable development Goal-4. Applied Geography, 140, 102665. https://doi.org/10.1016/j.apgeog.2022.102665
Sakti, A. D., Rahadianto, M. A. E., Pradhan, B., Muhammad, H. N., Andani, I. G. A., Sarli, P. W., Abdillah, M. R., Anggraini, T. S., Purnomo, A. D., Ridwana, R., Yulianto, F., Manessa, M. D. M., Fauziyyah, A. N., Yayusman, L. F., & Wikantika, K. (2022). School location analysis by integrating the accessibility, natural and biological hazards to support equal access to education. ISPRS International Journal of Geo-Information, 11(1). https://doi.org/10.3390/ijgi11010012
Sapiah, S., Ulfah, S. M., Saputra, A. N., & Hardi, R. (2025). Smart education in remote areas: collaborative strategies to address challenges in Majene Regency, Indonesia. Frontiers in Education, 10. https://doi.org/10.3389/feduc.2025.1552575
Sibly, M., Deffry, M., & Khairunnisa, N. F. (2023). Analisis Pola Persebaran Sekolah Menengah Atas di Kecamatan Koja, Jakarta Utara Menggunakan Metode Nearest Neighbor Analysis (NNA). Jurnal Sains Geografi, 1(2), 78–84. https://doi.org/10.21009/jsg.v1i2.09
Yang, D., Sun, J., Xie, S., Luo, J., & Yang, F. (2025). Spatial Accessibility Characteristics and Optimization of Multi-Stage Schools in Rural Mountainous Areas in China: A Case Study of Qixingguan District. Sustainability (Switzerland), 17(9). https://doi.org/10.3390/su17093862
Zickafoose, A., Ilesanmi, O., Diaz-Manrique, M., Adeyemi, A. E., Walumbe, B., Strong, R., Wingenbach, G., Rodriguez, M. T., & Dooley, K. (2024). Barriers and Challenges Affecting Quality Education (Sustainable Development Goal #4) in Sub-Saharan Africa by 2030. Sustainability (Switzerland) , 16(7). https://doi.org/10.3390/su16072657
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