Spatial Analysis of Landscape Suitability of Ambon City for Settlement Using Geographic Information System
DOI:
https://doi.org/10.59653/jimat.v1i02.218Keywords:
Ambon, GIS, Settlement, LandscapeAbstract
This study analyzes the suitability of Ambon city landscape for settlement development purposes. This research utilizes spatial analysis to evaluate the characteristics of the terrain shape and Land Use Territory (WTU) in the context of settlement suitability. This research uses DEM (Digital Elevation Model) to generate slope and elevation or altitude which is later used to create terrain shape map and business land area map. Making landscape suitability using the weighted sum overlay method. The results showed that the landscape in Ambon City that is suitable for settlement development is 30,456.94 ha and the unsuitable one has an area of 16,890.38 ha. The results of this study provide insight into the most suitable locations for settlements based on physical and environmental factors. The results of this study are expected to support sustainable urban planning in Ambon by considering aspects of landscape suitability.
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Achmadi, P. N., Dimyati, M., Manesa, M. D. M., & Rakuasa, H. (2023). MODEL PERUBAHAN TUTUPAN LAHAN BERBASIS CA-MARKOV: STUDI KASUS KECAMATAN TERNATE UTARA, KOTA TERNATE. Jurnal Tanah Dan Sumberdaya Lahan, 10(2), 451–460. https://doi.org/10.21776/ub.jtsl.2023.010.2.28
Alexakis, D. E., Bathrellos, G. D., Skilodimou, H. D., & Gamvroula, D. E. (2021). Land Suitability Mapping Using Geochemical and Spatial Analysis Methods. Applied Sciences, 11(12), 5404. https://doi.org/10.3390/app11125404
Brown, G., Sanders, S., & Reed, P. (2018). Using public participatory mapping to inform general land use planning and zoning. Landscape and Urban Planning, 177, 64–74. https://doi.org/https://doi.org/10.1016/j.landurbplan.2018.04.011
CAO, Y., Li, G., Cao, Y., Wang, J., Fang, X., Zhou, L., & Liu, Y. (2020). Distinct types of restructuring scenarios for rural settlements in a heterogeneous rural landscape: Application of a clustering approach and ecological niche modeling. Habitat International, 104, 102248. https://doi.org/10.1016/j.habitatint.2020.102248
Dety Novia Utami, Nabila, Supriatna, Supriatna, & Anggrahita, Hayuning. (2018). Multi Criteria Analysis of Built-Up Land Suitability in Sleman Regency, Special Region of Yogyakarta Province. E3S Web Conf., 73, 3005. https://doi.org/10.1051/e3sconf/20187303005
Heinrich Rakuasa, D. A. S. (2023). Analysis of Vegetation Index in Ambon City Using Sentinel-2 Satellite Image Data with Normalized Difference Vegetation Index (NDVI) Method based on Google Earth Engine. Journal of Innovation Information Technology and Application, 5(1), 74–82. https://doi.org/https://doi.org/10.35970/jinita.v5i1.1869
Heinrich Rakuasa, G. S. (2022). Analisis Spasial Kesesuaian dan Evaluasi Lahan Permukiman di Kota Ambon. Jurnal Sains Informasi Geografi (J SIG), 5(1), 1–9. https://doi.org/DOI: http://dx.doi.org/10.31314/j%20sig.v5i1.1432
Kaim, D., Ziółkowska, E., Grădinaru, S. R., & Pazúr, R. (2022). Assessing the suitability of urban-oriented land cover products for mapping rural settlements. International Journal of Geographical Information Science, 36(12), 2412–2426. https://doi.org/10.1080/13658816.2022.2075877
Kanga, S., Meraj, G., Johnson, B. A., Singh, S. K., PV, M. N., Farooq, M., Kumar, P., Marazi, A., & Sahu, N. (2022). Understanding the Linkage between Urban Growth and Land Surface Temperature—A Case Study of Bangalore City, India. Remote Sensing, 14(17). https://doi.org/10.3390/rs14174241
Latue, P. C., & Rakuasa, H. (2023). Analysis of Land Cover Change Due to Urban Growth in Central Ternate District, Ternate City using Cellular Automata-Markov Chain. Journal of Applied Geospatial Information, 7(1), 722–728. https://doi.org/https://doi.org/10.30871/jagi.v7i1.4653
Latue, P. C., Manakane, S. E., & Rakuasa, H. (2023). Analisis Perkembangan Kepadatan Permukiman di Kota Ambon Tahun 2013 dan 2023 Menggunakan Metode Kernel Density. Blend Sains Jurnal Teknik, 2(1), 26–34. https://doi.org/https://doi.org/10.56211/blendsains.v2i1.272
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), 177–186. https://doi.org/http://dx.doi.org/10.20527/jpg.v10i1.15472
Lisanyoto, L., Supriatna, & Sumadio, W. (2019). Spatial Model of Settlement Expansion and its Suitability to the Landscapes in Singkawang City, West Kalimantan Province. {IOP} Conference Series: Earth and Environmental Science, 338, 12034. https://doi.org/10.1088/1755-1315/338/1/012034
Maimaiti, A., Wang, L. M., Zhang, J., & Song, Z. L. (2017). Environmental suitability evaluation for human settlements in Bosten Lake Basin. IOP Conference Series: Earth and Environmental Science, 57(1), 12008. https://doi.org/10.1088/1755-1315/57/1/012008
Manakane, S. E., Latue, P. C., & Rakuasa, H. (2023). Identifikasi Daerah Rawan Longsor Di DAS Wai Batu Gajah, Kota Ambon Menggunakan Metode Slope Morphology Dan Indeks Storie. Gudang Jurnal Multidisiplin Ilmu, 1(1), 29–36.
Moazzam, M. F. U., Doh, Y. H., & Lee, B. G. (2022). Impact of urbanization on land surface temperature and surface urban heat Island using optical remote sensing data: A case study of Jeju Island, Republic of Korea. Building and Environment, 222, 109368. https://doi.org/10.1016/j.buildenv.2022.109368
Muin, A., & Rakuasa, H. (2023). Evaluasi Rencana Tata Ruang Wilayah Kota Ambon Berdasarkan Aspek Kerawanan Banjir. ULIL ALBAB : Jurnal Ilmiah Multidisiplin, 2(5), 1727–1738. https://doi.org/https://doi.org/10.56799/jim.v2i5.1485
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. https://doi.org/https://doi.org/10.56799/jim.v2i6.1574
Philia Christi Latue. (2023a). 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.
Philia Christi Latue, & H. R. (2023b). Pemanfaatan Data Penginderaan Jauh dan Sistim Informasi Geografis Untuk Identifikasi Perkembangan Lahan Terbangun pada Wilayah Rawan Gempa Bumi di Kota Ambon. INSOLOGI: Jurnal Sains Dan Teknologi, 2(3), 476–485. https://doi.org/https://doi.org/10.55123/insologi.v2i3.1899
Pratami, M., Susiloningtyas, D., & Supriatna. (2019). Modelling cellular automata for the development of settlement area Bengkulu City. IOP Conference Series: Earth and Environmental Science, 311(1), 12073. https://doi.org/10.1088/1755-1315/311/1/012073
Rakuasa, H., & Pakniany, Y. (2022). Spatial Dynamics of Land Cover Change in Ternate Tengah District, Ternate City, Indonesia. Forum Geografi, 36(2), 126–135. https://doi.org/DOI: 10.23917/forgeo.v36i2.19978
Rakuasa, H., Helwend, J. K., & Sihasale, D. A. (2022). Pemetaan Daerah Rawan Banjir di Kota Ambon Menggunakan Sistim Informasi Geografis. Jurnal Geografi: Media Informasi Pengembangan Dan Profesi Kegeografian, 19(2), 73–82. https://doi.org/https://doi.org/10.15294/jg.v19i2.34240
Rakuasa, H., Sihasale, D. A., Somae, G., & Latue, P. C. (2023). Prediction of Land Cover Model for Central Ambon City in 2041 Using the Cellular Automata Markov Chains Method. Jurnal Geosains Dan Remote Sensing, 4(1), 1–10. https://doi.org/10.23960/jgrs.2023.v4i1.85
Rana, M. S., & Sarkar, S. (2021). Prediction of urban expansion by using land cover change detection approach. Heliyon, 7(11), e08437. https://doi.org/https://doi.org/10.1016/j.heliyon.2021.e08437
Salakory, M., Rakuasa, H. (2022). Modeling of Cellular Automata Markov Chain for predicting the carrying capacity of Ambon City. Jurnal Pengelolaan Sumberdaya Alam Dan Lingkungan (JPSL), 12(2), 372–387. https://doi.org/https://doi.org/10.29244/jpsl.12.2.372-387
Septory, J. S. I., Latue, P. C., & Rakuasa, H. (2023). Model Dinamika Spasial Perubahan Tutupan Lahan dan Daya Dukung Lahan Permukiman Kota Ambon Tahun 2031. GEOGRAPHIA : Jurnal Pendidikan Dan Penelitian Geografi, 4(1), 51–62. https://doi.org/10.53682/gjppg.v4i1.5801
Somae, G., Supriatna, S., Rakuasa, H., & Lubis, A. R. (2023). PEMODELAN SPASIAL PERUBAHAN TUTUPAN LAHAN DAN PREDIKSI TUTUPAN LAHAN KECAMATAN TELUK AMBON BAGUALA MENGGUNAKAN CA-MARKOV. Jurnal Sains Informasi Geografi (J SIG), 6(1), 10–19. https://doi.org/http://dx.doi.org/10.31314/jsig.v6i1.1832
Sugandhi, N., Supriatna, S., Kusratmoko, E., & Rakuasa, H. (2022). Prediksi Perubahan Tutupan Lahan di Kecamatan Sirimau, Kota Ambon Menggunakan Celular Automata-Markov Chain. JPG (Jurnal Pendidikan Geografi), 9(2), 104–118. https://doi.org/http://dx.doi.org/10.20527/jpg.v9i2.13880
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