Klasifikasi Tutupan Lahan Peta Rupabumi Indonesia dalam Identifikasi Kesesuaian Kawasan Permukiman di Kalimantan Tengah
Land Cover Classification of Indonesia's Topographical Map in the Identification of Suitability of Settlement Areas in Central Kalimantan
DOI:
https://doi.org/10.52562/injoes.v1i2.232Keywords:
Classification, land cover, land use suitability, Central KalimantanAbstract
Berdasarkan Katalog Unsur Geografis Indonesia (KUGI), Peta Topografi Indonesia (RBI) memiliki 6 kategori unsur dengan 152 unsur klasifikasi tutupan lahan. Oleh karena itu, untuk keperluan analisis kesesuaian penggunaan lahan, klasifikasi tutupan lahan RBI perlu disederhanakan. Penelitian ini bertujuan untuk menyederhanakan klasifikasi kategori unsur tutupan lahan RBI dan menganalisis kesesuaian kawasan pemukiman berdasarkan variabel tutupan lahan dan penggunaan lahan. Studi kasus klasifikasi tutupan lahan dan kesesuaian penggunaan lahan untuk pemukiman telah dilakukan di Provinsi Kalimantan Tengah. Hasilnya, klasifikasi tutupan lahan Provinsi Kalimantan Tengah dikelompokkan menjadi 15 kategori. Sebagian besar tutupan lahan di Kalimantan Tengah adalah hutan dengan luas mencapai 65%. Sementara itu, kesesuaian kawasan permukiman berdasarkan variabel tutupan lahan dan penggunaan lahan menyebar mengikuti sebaran spasial semak belukar dan lahan gundul seluas 16% Kalimantan Tengah.
Based on th Indonesian Geographical Feature Catalogue (KUGI), the Indonesian Topographic Map (RBI) has 6 feature categories with 152 land cover classification features. Therefore, for land-use suitability analysis purposes, the RBI land cover classification needs to be simplified. This study aims to simplify the classification of RBI's land cover element categories and analyze the suitability of residential areas based on land cover and land-use variables. A case study of land cover classification and land-use suitability for settlements was conducted for the Central Kalimantan province. As a result, the land cover classifications of Central Kalimantan Province are grouped into 15 categories. Most of the land cover in Central Kalimantan is the forest with covering 65% of the area. Meanwhile, the suitability of residential areas based on land cover and land use variables spread following the spatial distribution of shrubland and bare land covering 16% of Central Kalimantan.
Downloads
References
Baja, S., Neswati, R., & Arif, S. (2019). Using Geospatial Information Technology for Regional Assessment of Food Crop Land in South Sulawesi. IOP Conference Series: Earth and Environmental Science, 279(1), 12009. IOP Publishing. https://doi.org/10.1088/1755-1315/279/1/012009
BIG. (2021). KUGI 5. Diambil 29 Juli 2021, dari Badan Informasi Geospasial website: https://kugi.ina-sdi.or.id/kugi
Dapueto, G., Massa, F., Costa, S., Cimoli, L., Olivari, E., Chiantore, M., Federici, B., Povero, P. (2015). A spatial multi-criteria evaluation for site selection of offshore marine fish farm in the Ligurian Sea, Italy. Ocean & Coastal Management, 116, 64–77. https://doi.org/10.1016/j.ocecoaman.2015.06.030
Gorelick, N., Hancher, M., Dixon, M., Ilyushchenko, S., Thau, D., & Moore, R. (2017). Google Earth Engine: Planetary-scale geospatial analysis for everyone. Remote sensing of Environment, 202, 18–27. https://doi.org/10.1016/j.rse.2017.06.031
Hafiz, A. P., & Kurniawan, B. (2020). Dampak Wacana Pemindahan Ibu Kota Negara Republik Indonesia Terhadap Dinamika Perekonomian di Palangkaraya. ILTIZAM Journal of Shariah Economics Research, 4(1), 56–82. https://doi.org/10.30631/iltizam.v4i1.531
Haokip, P., Khan, M. A., Choudhari, P., Kulimushi, L. C., & Qaraev, I. (2021). Identification of erosion-prone areas using morphometric parameters, land use land cover and multi-criteria decision-making method: geo-informatics approach. Environment, Development and Sustainability, 1–31. https://doi.org/10.1007/s10668-021-01452-7
Jeong, J. S., García-Moruno, L., & Hernández-Blanco, J. (2013). A site planning approach for rural buildings into a landscape using a spatial multi-criteria decision analysis methodology. Land Use Policy, 32, 108–118. https://doi.org/10.1016/j.landusepol.2012.09.018
Kadriansari, R., Subiyanto, S., & Sudarsono, B. (2017). Analisis kesesuaian lahan permukiman dengan data citra resolusi menengah menggunakan Sistem Informasi Geografis (Studi Kasus: Semarang bagian Barat dan Semarang bagian Timur). Jurnal Geodesi Undip, 6(4), 199–207.
Kostof, S. (1991). The city shaped urban patterns and meaning throughout history. Bulfinch, Boston.
Madurika, H., & Hemakumara, G. (2017). GIS based analysis for suitability location finding in the residential development areas of greater matara region. International Journal Of Scientific and Technology Research, 6, 96–105.
Mosadeghi, R., Warnken, J., Tomlinson, R., & Mirfenderesk, H. (2015). Comparison of Fuzzy-AHP and AHP in a spatial multi-criteria decision making model for urban land-use planning. Computers, Environment and Urban Systems, 49, 54–65. https://doi.org/10.1016/j.compenvurbsys.2014.10.001
Mu, Y. (2006). Developing a suitability index for residential land use: A case study in Dianchi Drainage Area. University of Waterloo.
Pemerintah Republik Indonesia. (2013). Peraturan Pemerintah Republik Indonesia Nomor 8 Tahun 2013 Tentang Ketelitian Peta Rencana Tata Ruang. Jakarta: Kementerian Sekretariat Negara.
Prahasya, M. B. R., Wijayanto, M. H., & Setyani, T. I. (2020). The Concept of Capital City in Kakawin Nagarakertagama: Cultural Perspective towards the Indonesia Capital City Relocation Master Plan. International Review of Humanities Studies, 5(1). https://doi.org/10.7454/irhs.v0i0.228
Rahman, R., & Saha, S. K. (2008). Remote sensing, spatial multi criteria evaluation (SMCE) and analytical hierarchy process (AHP) in optimal cropping pattern planning for a flood prone area. Journal of Spatial Science, 53(2), 161–177. https://doi.org/10.1080/14498596.2008.9635156
Ratnawati, H. (2020). Analisis Kesesuaian Lahan Permukiman di Kecamatan Playen Kabupaten Gunungkidul menggunakan Pendekatan Analytic Hierarchy Process. JGISE: Journal of Geospatial Information Science and Engineering, 3(2), 123–132. https://doi.org/10.22146/jgise.59057
Reba, M. N. M., Rosli, A. Z., Makhfuz, M. A., Sabarudin, N. S., & Roslan, N. H. (2013). Determination of Sustainable Land Potential Based on Priority Ranking: Multi-criteria Analysis (MCA) Technique. 2013 13th International Conference on Computational Science and Its Applications, 212–218. IEEE. https://doi.org/10.1109/ICCSA.2013.44
Shahabi, H., & Hashim, M. (2015). Landslide susceptibility mapping using GIS-based statistical models and Remote sensing data in tropical environment. Scientific reports, 5(1), 1–15. https://doi.org/10.1038/srep09899
Sihombing, R. M., & Simanungkalit, F. (2020). The Impact of Indonesia Capital Relocation to Kalimantan Peatland Restoration. Sociae Polites, 21(2), 234–244. https://doi.org/10.33541/sp.v21i3.2262
Store, R., & Kangas, J. (2001). Integrating spatial multi-criteria evaluation and expert knowledge for GIS-based habitat suitability modelling. Landscape and urban planning, 55(2), 79–93. https://doi.org/10.1016/S0169-2046(01)00120-7
Sun, J., Liu, Z., & Wei, Y. (2009). Spatial analysis and present situation evaluation of urban residential land suitability based on GIS: A case study in Changchun, China. 2009 International Conference on Management and Service Science, 1–4. IEEE. https://doi.org/10.1109/ICMSS.2009.5301065
Supriatna, J., Koestoer, R. H., & Takarina, N. D. (2016). Spatial dynamics model for sustainability landscape in Cimandiri Estuary, West Java, Indonesia. Procedia-Social and Behavioral Sciences, 227, 19–30. https://doi.org/10.1016/j.sbspro.2016.06.038
Toun, N. R. (2018). Analisis Kesiapan Pemerintah Provinsi Kalimantan Tengah dalam Wacana Pemindahan Ibu Kota Negara Republik Indonesia ke Kota Palangkaraya. Jurnal Academia Praja, 1(01), 129–148. https://doi.org/10.36859/jap.v1i01.45
Wang, S.-X., Shang, M., Zhou, Y., Liu, W.-L., Wang, F., & Wang, L.-T. (2017). Resources and environmental carrying capacity using RS and GIS. Pol. J. Environ. Stud, 26(6), 2793. https://doi.org/10.15244/pjoes/70927
Zucca, A., Sharifi, A. M., & Fabbri, A. G. (2008). Application of spatial multi-criteria analysis to site selection for a local park: A case study in the Bergamo Province, Italy. Journal of Environmental Management, 88(4), 752–769. https://doi.org/10.1016/j.jenvman.2007.04.026
Zulfikar, F. (2021). 5 Pulau Terbesar di Indonesia, Di Antaranya Juga Terluas di Dunia. Diambil 30 Juli 2021, dari detikcom website: https://www.detik.com/edu/detikpedia/d-5654126/5-pulau-terbesar-di-indonesia-di-antaranya-juga-terluas-di-dunia
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2021 I Wayan Gede Krisna Arimjaya, Adi Wibowo
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
