Analisis Kesesuaian Penggunaan Lahan dengan Rencana Pola Ruang di Kabupaten Ogan Ilir
DOI:
https://doi.org/10.29303/goescienceed.v7i1.1732Keywords:
Spatial Planning, Ogan Ilir Regency, Geographic Information System, Sentinel-2.Abstract
Abstract Ogan Ilir Regency is included in the development program as a buffer zone for Palembang City, which is part of the Sriwijaya Megaregion, due to its distance of approximately 35 km. Ogan Ilir Regency has established a Spatial Planning (RTRW) Plan for 2023–2024. This RTRW serves as the basis for policy direction and the development of urban areas. Therefore, research on spatial analysis is necessary to evaluate existing development. This study uses descriptive analysis with a spatial approach, namely a Geographic Information System (GIS). The software used is QGIS, which is open-source. The data sources include Sentinel satellite imagery and the Spatial Planning Map of Ogan Ilir Regency. The analysis applies supervised classification to identify existing land use. The results show that 11,461.4 hectares of land use are not in accordance with the Ogan Ilir RTRW. The largest area of inconsistency is found in North Indralaya District, which is planned as an urban area but is still predominantly used for oil palm agricultural land.
References
Ar-rouf, F.B., 2025a. Identifikasi Tambang Ilegal Di Bangka Tengah Dan Bangka Selatan Dengan Landsat 9. Integr. Perspect. Soc. Sci. J. IPSSJ 2, 1719–1728.
Badan Pusat Statistik Ogan Ilir, 2025. Kabupaten Ogan Ilir dalam Angka. Badan Pusat Statistik Ogan Ilir, Ogan Ilir.
Cochran, W. G., 1977. Sampling techniques (3rd ed.). New York: John Wiley & Sons.
Campbell, J. B. 1987. Introduction To Remote Sensing : Third Edition. The Guliford Press. NewYork.
Dinas Tata Ruang, 2023. Rancangan Peraturan Daerah Tentang Rencana Tata Ruang Wilayah Kabupaten Ogan Ilir Tahun 2023-2043. Pemda Ogan Ilir, Ogan Ilir.
Dwi Marsiska Driptufany, Syaputra, I., Fajrin Fajrin, Defwaldi Defwaldi, Dwi Arini, 2025. Evaluasi Kesesuaian Penggunaan Lahan Kota Jambi Tahun 2024 Terhadap Rencana Tata Ruang Wilayah Kota Jambi 2013-2033. J. Sains Dan Ilmu Terap. 8, 49–61. https://doi.org/10.59061/jsit.v8i1.926
Khaerani, R., Sitorus, S.R.P., Rusdiana, O., 2018. Analisis Penyimpangan Penggunaan Lahan Berdasarkan Rencana Tata Ruang Wilayah Kabupaten Sumedang. Tataloka 20, 399. https://doi.org/10.14710/tataloka.20.4.399-409
Lohr, S. L., 2022. Sampling: Design and analysis (3rd ed.). CRC Press.
Malingreau, Jean Paul. 1977. Apropose Land Cover/Land Use Classification and its Use with Reomte Sensing Data in Indonesia. The Indonesian Journal of Geography, No. 33,Vol 7. Fakultas Geografi UGM. Yogyakarta.
P.Dave, C., Joshi, R., S. Srivastava, S., 2015. A Survey on Geometric Correction of Satellite Imagery. Int. J. Comput. Appl. 116, 24–27. https://doi.org/10.5120/20389-2655
Shetty, S., Gupta, P.K., Belgiu, M., Srivastav, S.K., 2021. Assessing the Effect of Training Sampling Design on the Performance of Machine Learning Classifiers for Land Cover Mapping Using Multi-Temporal Remote Sensing Data and Google Earth Engine. Remote Sens. 13, 1433. https://doi.org/10.3390/rs13081433
Wu, C., & Thompson, M. E., 2020. Sampling theory and practice. Springer. https://doi.org/10.1007/978-3-030-44246-0




