RENCANA TATA RUANG DAN KONVERSI LAHAN PERTANIAN MENJADI PERMUKIMAN 2005 – 2030 DI KAWASAN AIE PACAH, KOTA PADANG, SUMATERA BARAT
Keywords:
RTRWK, konversi lahan pertanian, land change modelerAbstract
Penelitian ini bertujuan untuk membuat model konversi lahan pertanian menjadi permukiman dengan skenario tanpa dan dengan penerapan Rencana Tata Ruang Wilayah Kota (RTRWK) pada rentang waktu 2005 sampai 2030 di Kawasan Aie Pacah, Kota Padang yang sedang mengalami urbanisasi. Untuk memprediksi penggunaan lahan digunakan Land Change Modeler dan analisis perubahan penggunaan lahan dilakukan dengan teknik tumpang tindih peta. Hasil analisis menunjukkan bahwa dengan penerapan RTRWK, pada rentang waktu 2005 sampai 2030, konversi lahan pertanian menjadi permukiman di Kawasan Aie Pacah diprediksi menjadi lebih luas dan cepat daripada tanpa penerapan RTRWK. Untuk menciptakan sustainabilitas terhadap perkembangan konversi lahan pertanian menjadi permukiman, pemerintah dapat menerapkan tujuh kebijakan yang mencakup perencanaan tata ruang yang inklusif dan berkelanjutan, penyediaan infrastruktur yang memadai, pengelolaan lingkungan dan pengendalian polusi, penyediaan perumahan yang terjangkau, pemberdayaan ekonomi dan pengembangan kewirausahaan, partisipasi masyarakat dalam pengambilan keputusan, dan kebijakan pengendalian perkembangan kawasan rawan bencana
References
McGee, T.G. (1989). Urbanisasi or Kotadesasi? Evolving patterns of urbanization in Asia. https://doi.org/10.1515/9780824890650-008 dalam buku Frank J. Costa, F.J., Dutt A.K., Ma, L.J.C., and Noble, A.G. [ed.] 1989. Urbanization in Asia. Spatial Dimensions and Policy Issues. University of Hawaii Press. https://doi.org/10.1515/9780824890650
Gandharum, L., Hartono, D.M., Karsidi, A., dan Ahmad, M. (2022). Monitoring Urban Expansion and Loss of Agriculture on the North Coast of West Java Provinces, Indonesia, Using Google Earth Engine and Intensity Analysis. Hindawi. The Scientific World Journal. Vol 2022. Article ID 3123788. https://doi.org/10.1155/2022/3123788
Nurfaizah, D., Pravitasari, A.E., Lubis, I., and Saizen, I. (2023). Land Cover Changes and Spatial Planning Alignment in East Java Province. IOP Conference Series: Earth and Environmental Science. https://iopscience.iop.org/article/10.1088/1755-1315/1133/1/012049/pdf
Ivanka, R., Muhammad, F.A., Dita, L.A., and Simarmata, T. (2024). Assessing the Current State and Future Trends of Land Use Conversion: Implications for Food Security in Indonesia. International Journal of Life Science and Agriculture Research. Vol. 03 https://doi.org/10.55677/ijlsar/V0314Y2024-10
Shehu, P., Rikko, L.S., and Azi, M.B. (2022). Monitoring Urban Growth and Changes in Land Use and Land Cover: A Strategy For Sustainable Urban Development. Int. J. Hum. Capital Urban Manage., 8(1): 111-126. https://www.ijhcum.net/article_699779.html
Wiwoho, B.S., McIntyre, N., and Phinn, S. (2024). Assessing Future Land-Uses Under Planning Scenarios: A Case Study of The Brantas River Basin, Indonesia. Environmental Challenges, Volume 15, April 2024, 100873. https://doi.org/10.1016/j.envc.2024.100873
Atef, I., Ahmed, W. & Abdel-Maguid, R.H. (2024). Future land use land cover changes in El-Fayoum governorate: a simulation study using satellite data and CA-Markov model. Stoch Environ Res Risk Assess 38, 651–664. https://doi.org/10.1007/s00477-023-02592-0
Frimpong, B.F., Koranteng, A., Atta-Darkwa, T., Junior, O.F., Zawiła-Nied´zwiecki, T. (2023). Land Cover Changes Utilising Landsat Satellite Imageries for the Kumasi Metropolis and Its Adjoining Municipalities in Ghana (1986–2022). Sensors. 23, 2644. https://doi.org/10.3390/s23052644
Akdeniz, H.B., Sag, N.S. and Inam, S. (2023). Analysis of land use/land cover changes and prediction of future changes with land change modeler: Case of Belek, Turkey. Environ Monit Assess 195, 135. https://doi.org/10.1007/s10661-022-10746-w
Abbas, H., Tao, W., Khan, G., Alrefaei, A. F., Iqbal, J., Albeshr, M. F., and Kulsoom, I. (2023). Multilayer Perceptron and Markov Chain Analysis Based Hybrid-Approach for Predicting Land Use Land Cover Change Dynamics with Sentinel-2 Imagery. Geocarto International, 38(1). https://doi.org/10.1080/10106049.2023.2256297
Aldileemi, H., Zhran, M., and El-Mewafi, M. (2023). Geospatial Monitoring and Prediction of Land Use/Land Cover (LULC) Dynamics Based on the CA-Markov Simulation Model in Ajdabiya, Libya. International Journal of Geoinformatics, Vol. 19, No. 12. https://doi.org/10.52939/ijg.v19i12.2973
Elmahdy, S. I. and Mohamed, M. M. (2023). Regional Mapping and Monitoring Land Use/Land Cover Changes: A Modified Approach Using an Ensemble Machine Learning and Multitemporal Landsat Data. Geocarto International, 38(1). https://doi.org/10.1080/10106049.2023.2184500
Chavan M.N. (2023). GIS Based Integrated Vulnerability Assessment of Konkan Coastal Stretch between Bankot and Dabhol Creeks, Maharashtra. Geo-Eye. 12(2): 20-33. https://doi.org/10.53989/bu.ge.v12i2.4
Putri, I.D., Martanto, R., Junarto, R. (2024). Dampak Alih Fungsi Lahan Terhadap Ketahanan Pangan, Lingkungan, dan Keberlanjutan Pertanian di Kabupaten Sleman. Widya Bhumi, Vol. 4, No. 2.
Kultsum, F. (2023). Implementasi Asas Berkelanjutan Dalam Penyusunan Rencana Tata Ruang Wilayah Provinsi dan Kabupaten/Kota di Indonesia. LITRA: Jurnal Hukum Lingkungan, Tata Ruang, Dan Agraria, 3(1), 1-17. https://doi.org/10.23920/litra.v3i1.1314
Kusumaningrum, D., and Rosyidy, M. K. (2024). From Agriculture to New Town: Land Conversion Towards New-Build Gentrification in The Southwest of Jakarta, Indonesia. Journal of Property Research, 41(3), 276–298. https://doi.org/10.1080/09599916.2024.2364613
Medha, A.N. dan Ariastita, P.G. (2017). Pandangan Terhadap Fenomena Gentrifikasi dan Hubungannya dengan Perencanaan Spasial. Jurnal Teknik ITS Vol. 6, No. 2. 2337-3520 (2301-928X Print)
Sjahrain, N. A. (2024). Legal challenges in facing land ownership disputes due to gentrification in Indonesia. Estudiante Law Journal, 6(2), 351-373. https://doi.org/10.33756/eslaj.v6i2.27858
Obaitor, O. S., Stellmes, M., & Lakes, T. (2024). Exploring spatio-temporal pattern of gentrification processes in intracity slums in the Lagos Megacity. Geographies, 4(2), 231-252. https://doi.org/10.3390/geographies4020015
Fazrin, F., Zahrah, F., & Rahmansyah, E. (2024). Social transformation and studentification: A portrait of gentrification in Jatinangor education area. JPPI (Jurnal Penelitian Pendidikan Indonesia), 10(4), 374-386.
Abdelfattah, R. S., & Maghelal, P. K. (2024). The anatomy of urban regeneration-led gentrification in the Middle East and North Africa—A systematic literature review. Journal of Infrastructure, Policy and Development, 8(8), 5993. https://doi.org/10.24294/jipd.v8i8.5993
Lynch, K. 1981: “A Theory of Good City Form”. The Massachusetts Institute of Technology
Gaur, S. and Singh, R.A. (2023). A Comprehensive Review on Land Use/Land Cover (LULC) Change Modeling for Urban Development: Current Status and Future Prospects. Sustainability 2023, 15, 903. https://doi.org/10.3390/su15020903
Che, L., Guo, S. & Deng, Y. (2024). Land use evolution and prediction: a bibliometric review. Int. J. Environ. Sci. Technol. https://doi.org/10.1007/s13762-024-05983-0
Cervelli, E., Recchi, P.F., di Perta, E.S., and Pindozzi, S. (2023). Land Use Change Scenario Building Combining Agricultural Development Policies, Landscape-Planning Approaches, and Ecosystem Service Assessment: A Case Study from the Campania Region (Italy). Land, 12(10), 1865; https://doi.org/10.3390/land12101865
Black, B., Adde, A., Farinotti, D., Guisan, A., Külling, N., Kurmann, M., Martin, C., Mayer, P., Rabe, S-E., Streit, J., Zekollari, H., Grêt‑Regamey, A. (2024). Broadening The Horizon in Land Use Change Modelling: Normative Scenarios for Nature Positive Futures in Switzerland. Regional Environmental Change 24:115 https://doi.org/10.1007/s10113-024-02261-0
Marques-Carvalho, R., de Almeida, C.M., Escobar-Silva, E.V., Alves, R.B.dO., and Lacerda, C.S.dA. (2022). Simulation and Prediction of Urban Land Use Change Considering Multiple Classes and Transitions by Means of Random Change Allocation Algorithms. Remote Sens. 15(1), 90; https://doi.org/10.3390/rs15010090
Rienow, A. (2024). Forecasting Urban Futures: Evaluating Global Land Use Data Sensitivity for Regional Growth Simulation in The Ruhr Metropolitan Area. ERDKUNDE, 78(1), 71–89. https://doi.org/10.3112/erdkunde.2024.01.04
El Haj, F.A., Ouadif, L., Akhssas, L. (2023). Simulating and Predicting Future Land-Use/Land Cover Trends Using CA-Markov and LCM Models. Case Studies in Chemical and Environmental Engineering. https://doi.org/10.1016/j.cscee.2023.100342
Wang, Q., Guan, Q., Sun, Y., Du, Q., Xiao, X., Luo, H., Zhang, J., and Mi, J. (2023). Simulation of Future Land Use/Cover Change (LUCC) in Typical Watersheds of Arid Regions Under Multiple Scenarios. Journal of Environmental Management. https://doi.org/10.1016/j.jenvman.2023.117543
Lynch, K. (1960). The image of the city. MIT Press.
Eastman, J.R. (2016). Manual. TerrSet Geospatial Monitoring and Modeling System. Clark Lab. Clark University. https://clarklabs.org/wp-content/uploads/2016/10/Terrset-Manual.pdf
Arunplod, C., Phonphan, W., Wongsongja, N., Utarasakul, T., Niemmanee, T., Daraneesrisuk, J. and Thongdara, R., (2023). Spatial Dynamics Evolution of Land use for the Study of the Local Traditional Living Changes. International Journal of Geoinformatics. Vol. 19(4), 37–49. https://doi.org/10.52939/ijg.v19i4.2635
Thammaboribal, P. and Tripathi, N. K. (2024). Predicting Land Use and Land Cover Changes in Pathumthani, Thailand: A Comprehensive Analysis from 2013 to 2023 Using Landsat Satellite Imagery and CAANN Algorithm, with Projections for 2028 and 2038. International Journal of Geoinformatics, Vol. 20, No. 5. DOI: https://doi.org/10.52939/ijg.v20i5.3225
Das, N., Mondal, P., Sutradhar, S. and Ghosh, R., (2020). Assessment of Variation of Land Use/Land Cover and its Impact on Land Surface Temperature of Asansol Subdivision. Egyptian Journal of Remote Sensing and Space Science. Vol. 24, https://doi.org/10.1016/j.ejrs.2020.05.001
Beroho, M., Briak, H., Cherif, E.K., Boulahfa, I., Ouallali, A., Mrabet, R., Kebede, F., Bernardino, A., Aboumaria, K. (2023). Future Scenarios of Land Use/Land Cover (LULC) Based on a CA-Markov Simulation Model: Case of a Mediterranean Watershed in Morocco. Remote Sens. 15, 1162. https://doi.org/10.3390/rs15041162
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Dzaky Kayungyun Ramdhani , Husnul Fitri

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