Spatial Analysis of Landscape Suitability of Ambon City for Settlement Using Geographic Information System

Authors

  • Heinrich Rakuasa Universitas Indonesia
  • Philia C Latue Pattimura University,Indonesia

DOI:

https://doi.org/10.55537/jistr.v2i3.696

Keywords:

Ambon, Settlement, Landscape

Abstract

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 . these studies involve the collection and integration of landscape data, such as topography, land use, vegetation, and other environmental factors. Then, spatial analysis methods are used to assess the suitability of the landscape for settlement by considering factors such as accessibility, availability of essential services, and potential environmental impacts.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.

References

M. S. Rana and S. Sarkar, “Prediction of urban expansion by using land cover change detection approach,” Heliyon, vol. 7, no. 11, p. e08437, 2021, doi: https://doi.org/10.1016/j.heliyon.2021.e08437.

Y. Rakuasa, H., & Pakniany, “Spatial Dynamics of Land Cover Change in Ternate Tengah District, Ternate City, Indonesia,” Forum Geogr., vol. 36, no. 2, pp. 126–135, 2022, doi: DOI: 10.23917/forgeo.v36i2.19978.

M. F. U. Moazzam, Y. H. Doh, and B. G. Lee, “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,” Build. Environ., vol. 222, p. 109368, Aug. 2022, doi: 10.1016/j.buildenv.2022.109368.

C. Latue, Philia, S. E. Manakane, and H. Rakuasa, “Analisis Perkembangan Kepadatan Permukiman di Kota Ambon Tahun 2013 dan 2023 Menggunakan Metode Kernel Density,” Blend Sains J. Tek., vol. 2, no. 1, pp. 26–34, Jun. 2023, doi: 10.56211/blendsains.v2i1.272.

G. S. Heinrich Rakuasa, “Analisis Spasial Kesesuaian dan Evaluasi Lahan Permukiman di Kota Ambon,” J. Sains Inf. Geogr. (J SIG), vol. 5, no. 1, pp. 1–9, 2022, doi: DOI: http://dx.doi.org/10.31314/j%20sig.v5i1.1432.

H. Latue, P. C., Septory, J. S. I., & Rakuasa, “Perubahan Tutupan Lahan Kota Ambon Tahun 2015, 2019 dan 2023,” JPG (Jurnal Pendidik. Geogr., vol. 10, no. 1, pp. 177–186, 2023, doi: http://dx.doi.org/10.20527/jpg.v10i1.15472.

H. Muin, A., & Rakuasa, “Evaluasi Rencana Tata Ruang Wilayah Kota Ambon Berdasarkan Aspek Kerawanan Banjir,” ULIL ALBAB J. Ilm. Multidisiplin, vol. 2, no. 5, pp. 1727-1738., 2023, doi: https://doi.org/10.56799/jim.v2i5.1485.

H. Sugandhi, N., Supriatna, S., Kusratmoko, E., & Rakuasa, “Prediksi Perubahan Tutupan Lahan di Kecamatan Sirimau, Kota Ambon Menggunakan Celular Automata-Markov Chain,” JPG (Jurnal Pendidik. Geogr., vol. 9, no. 2, pp. 104–118, 2022, doi: http://dx.doi.org/10.20527/jpg.v9i2.13880.

S. Rakuasa, H., Supriatna, S., Tambunan., M,P., Salakory, M., Pinoa, W, “Analisis Spasial Daerah Potensi Rawan Longsor di Kota Ambon Dengan Menggunakan Metode SMORPH,” J. Tanah dan Sumberd. Lahan, vol. 9, no. 2, pp. 213–221, 2022, doi: 10.21776/ub.jtsl.2022.009.2.2.

D. A. Rakuasa, H., Helwend, J. K., & Sihasale, “Pemetaan Daerah Rawan Banjir di Kota Ambon Menggunakan Sistim Informasi Geografis,” J. Geogr. Media Inf. Pengemb. dan Profesi Kegeografian, vol. 19, no. 2, pp. 73–82, 2022, doi: https://doi.org/10.15294/jg.v19i2.34240.

H. Muin, A., & Rakuasa, “Pemanfaat Geographic Artificial Intelligence (Geo-AI) Untuk Identifikasi Daerah Rawan Banjir Di Kota Ambon,” Gudang J. Multidisiplin Ilmu, vol. 1, no. 2, pp. 58-63., 2023, doi: https://doi.org/10.59435/gjmi.v1i2.24.

& H. R. Philia Christi Latue, “Pemanfaatan Data Penginderaan Jauh dan Sistim Informasi Geografis Untuk Identifikasi Perkembangan Lahan Terbangun pada Wilayah Rawan Gempa Bumi di Kota Ambon.,” INSOLOGI J. Sains Dan Teknol., vol. 2, no. 3, pp. 476–485, 2023, doi: https://doi.org/10.55123/insologi.v2i3.1899.

J. S. I. Septory, P. C. Latue, and H. Rakuasa, “Model Dinamika Spasial Perubahan Tutupan Lahan dan Daya Dukung Lahan Permukiman Kota Ambon Tahun 2031,” Geogr. J. Pendidik. dan Penelit. Geogr., vol. 4, no. 1, pp. 51–62, Jun. 2023, doi: 10.53682/gjppg.v4i1.5801.

D. E. Alexakis, G. D. Bathrellos, H. D. Skilodimou, and D. E. Gamvroula, “Land Suitability Mapping Using Geochemical and Spatial Analysis Methods,” Appl. Sci., vol. 11, no. 12, p. 5404, Jun. 2021, doi: 10.3390/app11125404.

H. Salakory, M., Rakuasa, “Modeling of Cellular Automata Markov Chain for predicting the carrying capacity of Ambon City,” J. Pengelolaan Sumberd. Alam dan Lingkung., vol. 12, no. 2, pp. 372–387, 2022, doi: https://doi.org/10.29244/jpsl.12.2.372-387.

Dety Novia Utami, Nabila, Supriatna, Supriatna, and Anggrahita, Hayuning, “Multi Criteria Analysis of Built-Up Land Suitability in Sleman Regency, Special Region of Yogyakarta Province,” E3S Web Conf., vol. 73, p. 3005, 2018, doi: 10.1051/e3sconf/20187303005.

A. Maimaiti, L. M. Wang, J. Zhang, and Z. L. Song, “Environmental suitability evaluation for human settlements in Bosten Lake Basin,” IOP Conf. Ser. Earth Environ. Sci., vol. 57, no. 1, p. 12008, Feb. 2017, doi: 10.1088/1755-1315/57/1/012008.

H. Latue, P. C., & Rakuasa, “Analysis of Land Cover Change Due to Urban Growth in Central Ternate District, Ternate City using Cellular Automata-Markov Chain,” J. Appl. Geospatial Inf., vol. 7, no. 1, pp. 722–728, 2023, doi: https://doi.org/10.30871/jagi.v7i1.4653.

N. D. Novia Utami, Supriatna, and H. Anggrahita, “Spatial Dynamics Model of Land Availability and Mount Merapi Disaster-Prone Areas in Sleman Regency, Yogyakarta Special Region Province,” IOP Conf. Ser. Earth Environ. Sci., vol. 311, no. 1, p. 012021, Aug. 2019, doi: 10.1088/1755-1315/311/1/012021.

H. Rakuasa, D. A. Sihasale, G. Somae, and P. C. Latue, “Prediction of Land Cover Model for Central Ambon City in 2041 Using the Cellular Automata Markov Chains Method,” J. Geosains dan Remote Sens., vol. 4, no. 1, pp. 1–10, May 2023, doi: 10.23960/jgrs.2023.v4i1.85.

L. Lisanyoto, Supriatna, and W. Sumadio, “Spatial Model of Settlement Expansion and its Suitability to the Landscapes in Singkawang City, West Kalimantan Province,” {IOP} Conf. Ser. Earth Environ. Sci., vol. 338, p. 12034, Nov. 2019, doi: 10.1088/1755-1315/338/1/012034.

G. Brown, S. Sanders, and P. Reed, “Using public participatory mapping to inform general land use planning and zoning,” Landsc. Urban Plan., vol. 177, pp. 64–74, 2018, doi: https://doi.org/10.1016/j.landurbplan.2018.04.011.

D. Kaim, E. Ziółkowska, S. R. Grădinaru, and R. Pazúr, “Assessing the suitability of urban-oriented land cover products for mapping rural settlements,” Int. J. Geogr. Inf. Sci., vol. 36, no. 12, pp. 2412–2426, Dec. 2022, doi: 10.1080/13658816.2022.2075877.

T. Li, J. Cao, M. Xu, Q. Wu, and L. Yao, “The influence of urban spatial pattern on land surface temperature for different functional zones,” Landsc. Ecol. Eng., vol. 16, no. 3, pp. 249–262, 2020, doi: 10.1007/s11355-020-00417-8.

P. N. Achmadi, M. Dimyati, M. D. M. Manesa, and H. Rakuasa, “MODEL PERUBAHAN TUTUPAN LAHAN BERBASIS CA-MARKOV: STUDI KASUS KECAMATAN TERNATE UTARA, KOTA TERNATE,” J. Tanah dan Sumberd. Lahan, vol. 10, no. 2, pp. 451–460, Jul. 2023, doi: 10.21776/ub.jtsl.2023.010.2.28.

H. Manakane, S. E., Latue, P. C., & Rakuasa, “Identifikasi Daerah Rawan Longsor Di DAS Wai Batu Gajah, Kota Ambon Menggunakan Metode Slope Morphology Dan Indeks Storie,” Gudang J. Multidisiplin Ilmu, vol. 1, no. 1, pp. 29–36, 2023.

H. Rakuasa, S. Supriatna, A. Karsidi, A. Rifai, M. . Tambunan, and A. Poniman K, “Spatial Dynamics Model of Earthquake Prone Area in Ambon City,” IOP Conf. Ser. Earth Environ. Sci., vol. 1039, no. 1, p. 012057, Sep. 2022, doi: 10.1088/1755-1315/1039/1/012057.

A. R. Somae, G., Supriatna, S., Rakuasa, H., & Lubis, “PEMODELAN SPASIAL PERUBAHAN TUTUPAN LAHAN DAN PREDIKSI TUTUPAN LAHAN KECAMATAN TELUK AMBON BAGUALA MENGGUNAKAN CA-MARKOV,” J. Sains Inf. Geogr. (J SIG), vol. 6, no. 1, pp. 10–19, 2023, doi: http://dx.doi.org/10.31314/jsig.v6i1.1832.

H. Pertuack, S., Latue, P.C., & Rakuasa, “Analisis Spasial Daya Dukung Lahan Permukiman Kota Ternate,” ULIL ALBAB J. Ilm. Multidisiplin, vol. 2, no. 6, pp. 2084–2090, 2023, doi: https://doi.org/10.56799/jim.v2i6.1574.

D. A. S. Heinrich Rakuasa, “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,” J. Innov. Inf. Technol. Appl., vol. 5, no. 1, pp. 74–82, 2023, doi: https://doi.org/10.35970/jinita.v5i1.1869.

S. Kanga et al., “Understanding the Linkage between Urban Growth and Land Surface Temperature—A Case Study of Bangalore City, India,” Remote Sens., vol. 14, no. 17, 2022, doi: 10.3390/rs14174241.

P. C. Latue, H. Rakuasa, and D. A. Sihasale, “Analisis Kerapatan Vegetasi Kota Ambon Menggunakan Data Citra Satelit Sentinel-2 dengan Metode MSARVI Berbasis Machine Learning pada Google Earth Engine,” sudo J. Tek. Inform., vol. 2, no. 2, pp. 68–77, Jun. 2023, doi: 10.56211/sudo.v2i2.270.

Downloads

Published

2023-09-30

Issue

Vol. 2 No. 3 (2023): September

Section

Articles

License

Copyright (c) 2023 Heinrich Rakuasa, Philia C Latue

Creative Commons License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.