Analisis Spasial dan Pemetaan Zonasi Penggunaan Lahan di Kota Gorontalo Berbasis Sistem Informasi Geografis

Irawaty Hadi, Ramla Hartini Melo, Sri Endang Saleh

Abstract


 This study aims to analyze land use patterns and map land use zoning in Gorontalo City based on a Geographic Information System (GIS). The method used was spatial analysis with a quantitative descriptive approach through the processing of spatial data in the form of satellite imagery, administrative maps, and land use data. The research stages included digitization, classification, image interpretation, and overlay techniques using GIS software to identify the distribution and patterns of land use in each district. The results showed that residential areas dominate the city center, such as South Kota, Central Kota, and Sipatana districts, due to the high concentration of economic, governmental, educational, and commercial activities. Meanwhile, forests, plantations, rice fields, and shrubland are more widely distributed in the suburban areas, such as Hulonthalangi, Dumbo Raya, and North Kota districts. The conversion of natural and agricultural land into built-up areas indicates rapid urban development. The application of GIS in this study was able to provide accurate spatial information regarding land use zoning, which can support spatial planning, development control, and environmental sustainability efforts in Gorontalo City.


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References


Aryo, A. D., Haluti, S., & Staddal, I. (2022). Analisis kualitas air sawah di Kota Gorontalo secara spasial menggunakan ArcGIS. JTPG (Jurnal Teknologi Pertanian Gorontalo), 7(1), 1-6.

Franch-Pardo, I., Napoletano, B. M., Rosete-Verges, F., & Billa, L. (2020). Spatial analysis and GIS in the Study of COVID-19 Areview.ScienceofTheTotalEnvironment, 739,140033.https://doi.org/10.1016/j .scitotenv.2020.14003

Latue, P. C. (2023). Analisis Spasial Temporal Perubahan Tutupan Lahan di Pulau Ternate Provinsi Maluku Utara Citra Satelit Resolusi Tinggi. Buana Jurnal Geografi, Ekologi Dan Kebencanaan, 1(1), 31-38.

Latue, P. C., Septory, J. S. I., & Rakuasa, H. (2023). Perubahan Tutupan Lahan Kota Ambon Tahun 2015, 2019 dan 2023. JPG (Jurnal Pendidikan Geografi), 10(1).

Mosammam, H. M., Nia, J. T., Khani, H., Teymouri, A., & Kazemi, M. (2017). Monitoring land use change and measuring urban sprawl based on its spatial forms: The case of Qom city. The Egyptian Journal of Remote Sensing and Space Science, 20(1), 103–116. https://doi.org/https://doi.org/10.1016/j.ejrs.2016.08.002

Nath, B., Ni-Meister, W., & Choudhury, R. (2021). Impact of urbanization on land useand land cover change in Guwahati city, India and its implication on declininggroundwater level. Groundwater for Sustainable Development, 12, 100500.https://doi.org/10.1016/j.gsd.2020.100500

Noviana, K. (2023). Pemetaan Persebaran Bangunan Sekolah Dasar Negeri (SDN) Berbasis Sistem Informasi Geografis di Tiga Kecamatan Kabupaten Mojokerto. Jurnal Vokasi Teknik Sipil, 1(2), 74-79.

Perrina, M. G. (2021). Literature Review Sistem Informasi Geografis (SIG). Journal of Information Technology and Computer Science (JOINTECOMS), 10(10), 1-4.

Pertuack, S., Latue, P. C., & Rakuasa, H. (2023). Analisis spasial daya dukung lahan permukiman Kota Ternate. ULIL ALBAB: Jurnal Ilmiah Multidisiplin, 2(6), 2084-2090.

Rakhmonov, S., Umurzakov, U., Rakhmonov, K., Bozarov, I., & Karamatov, O. (2021).Land Use and Land Cover Change in Khorezm, Uzbekistan. E3S Web ofConferences, 227, 01002. https://doi.org/10.1051/e3sconf/202122701002

Rakuasa, H., & Latue, P. C. (2023). ANALISIS SPASIAL DAERAH RAWAN BANJIR DI DAS WAE HERU, KOTAAMBON. Jurnal Tanah Dan Sumberdaya Lahan, 10(1), 75–82. https://doi.org/10.21776/ub.jtsl.2023.010.1.8

Rakuasa, H., Salakory, M., & Mehdil, M. C. (2022). Prediksi perubahan tutupan lahan di DAS Wae Batu Merah, KotaAmbon menggunakan Cellular Automata Markov Chain. Jurnal Pengelolaan Lingkungan Berkelanjutan (Journalof Environmental Sustainability Management), 6(2), 59–75. https://doi.org/https://doi.org/10.36813/jplb.6.2.59-75

Sugandhi, N., Supriatna, S., Kusratmoko, E., & Rakuasa, H. (2022). Prediksi PerubahanTutupan Lahan di Kecamatan Sirimau, Kota Ambon Menggunakan CelularAutomata-Markov Chain. JPG (Jurnal Pendidikan Geografi), 9(2), 104–118.https://doi.org/http://dx.doi.org/10.20527/jpg.v9i2.13880

Talukdar, S., Singha, P., Mahato, S., Shahfahad, Pal, S., Liou, Y.-A., & Rahman, A. (2020). Land-Use Land-CoverClassification by Machine Learning Classifiers for Satellite Observations—A Review. Remote Sensing, 12(7),1135. https://doi.org/10.3390/rs12071135

Wang, R., Cai, M., Ren, C., Bechtel, B., Xu, Y., & Ng, E. (2019). Detecting multi-temporal land cover change and landsurface temperature in Pearl River Delta by adopting local climate zone. Urban Climate, 28, 100455.https://doi.org/https://doi.org/10.1016/j.uclim.2019.100455.




DOI: https://doi.org/10.37905/jrpi.v3i2.39023

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