MODEL PERUBAHAN TUTUPAN LAHAN BERBASIS CA-MARKOV: STUDI KASUS KECAMATAN TERNATE UTARA, KOTA TERNATE
DOI:
https://doi.org/10.21776/ub.jtsl.2023.010.2.28Keywords:
CA-Markov, land cover, Ternate UtaraAbstract
North Ternate Sub-district is located in the center of Ternate City, making it a sub-district that has an increasing population every year. The increase in population certainly affects the increase in built-up land, which certainly affects environmental damage, climate change and other socio-economic problems. This study aims to predict land cover change in North Ternate Sub-district in 2003, 2013, 2023 and 2032 based on CA-Markov. This research used CA-Markov method to predict land cover in 2023. The results showed that in 2003, 2013, 2023 and 2032, built-up land annually experienced an increase in area, this is certainly influenced by the increase in population, and the need for land for settlement is getting higher every year. Agricultural land, non-agricultural land and open land continue to decrease in the area due to the conversion of these types of land cover to built-up land. The results of this prediction are very useful for the government in making policies related to sustainable spatial planning in the future.
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Ajeeb, Rabia, Maher M. Aburas, Faisal Baba, Abdelsalam Ali, and Motasem Y. D. Alazaiza. 2020. “The Prediction of Urban Growth Trends and Patterns Using Spatio-Temporal CA-MC Model in Seremban Basin.” P. 012028 in IOP Conference Series: Earth and Environmental Science. Vol. 540.
Getu, Kenu, and H. Gangadhara Bhat. 2022. “Dynamic Simulation of Urban Growth and Land Use Change Using an Integrated Cellular Automata and Markov Chain Models: A Case of Bahir Dar City, Ethiopia.” Arabian Journal of Geosciences 15(11):1049. doi: 10.1007/s12517-022-10304-1.
Ghosh, Pramit, Anirban Mukhopadhyay, Abhra Chanda, Parimal Mondal, Anirban Akhand, Sandip Mukherjee, S. K. Nayak, Subhajit Ghosh, Debasish Mitra, Tuhin Ghosh, and Sugata Hazra. 2017. “Application of Cellular Automata and Markov-Chain Model in Geospatial Environmental Modeling- A Review.” Remote Sensing Applications: Society and Environment 5:64–77. doi: https://doi.org/10.1016/j.rsase.2017.01.005.
Hegazy, Ibrahim Rizk, and Mosbeh Rashed Kaloop. 2015. “Monitoring Urban Growth and Land Use Change Detection with GIS and Remote Sensing Techniques in Daqahlia Governorate Egypt.” International Journal of Sustainable Built Environment 4(1):117–24. doi: 10.1016/j.ijsbe.2015.02.005.
Kushwaha, Kamlesh, M. M. Singh, Sudhir Kumar Singh, and Adesh Patel. 2021. “Urban Growth Modeling Using Earth Observation Datasets, Cellular Automata-Markov Chain Model and Urban Metrics to Measure Urban Footprints.” Remote Sensing Applications: Society and Environment 22:100479. doi: 10.1016/j.rsase.2021.100479.
Lamonda, Rizky, Supriatna, Revi Hernina, Masita Dwi Mandini Manessa, and Yoanna Ristya. 2019. “Spatial Dynamics Model for Land Carrying Capacity Prediction in Tangerang Selatan City.” E3S Web of Conferences 125(201 9). doi: 10.1051/e3sconf/201912501006.
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):722–28. doi: https://doi.org/10.30871/jagi.v7i1.4653.
Letedara, R., Rakuasa, H., & Latue, P. C. (2023). 2023. “Cellular Automata Markov Chain Application For Prediction Of Land Cover Changes In The Wae Batu Gantung Watershed, Ambon City, Indonesia.” Ournal of Multidisciplinary Science 2(2):113-122. doi: https://doi.org/10.58330/prevenire.v2i2.191.
Mohamed, Asfaw, Hailu Worku, and Tebarek Lika. 2020. “Urban and Regional Planning Approaches for Sustainable Governance: The Case of Addis Ababa and the Surrounding Area Changing Landscape.” City and Environment Interactions 8:100050. doi: 10.1016/j.cacint.2020.100050.
Munthali, M. G., S. Mustak, A. Adeola, J. Botai, S. K. Singh, and N. Davis. 2020. “Modelling Land Use and Land Cover Dynamics of Dedza District of Malawi Using Hybrid Cellular Automata and Markov Model.” Remote Sensing Applications: Society and Environment 17:100276. doi: https://doi.org/10.1016/j.rsase.2019.100276.
Mustafa, Ahmed, Amr Ebaid, Hichem Omrani, and Timon McPhearson. 2021. “A Multi-Objective Markov Chain Monte Carlo Cellular Automata Model: Simulating Multi-Density Urban Expansion in NYC.” Computers, Environment and Urban Systems 87:101602. doi: https://doi.org/10.1016/j.compenvurbsys.2021.101602.
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. doi: https://doi.org/10.56799/jim.v2i6.1574.
Philia Christi Latue, Heinrich Rakuasa. 2022. “Dinamika Spasial Wilayah Rawan Tsunami Di Kecamatan Nusaniwe, Kota Ambon, Provinsi Maluku.” Jurnal Geosains Dan Remote Sensing (JGRS) 3(2):77–87. doi: https://doi.org/10.23960/jgrs.2022.v3i2.98.
Rakuasa, H., & Pakniany, Y. 2022. “Spatial Dynamics of Land Cover Change in Ternate Tengah District, Ternate City, Indonesia.” Forum Geografi 36(2):126–35. doi: DOI: 10.23917/forgeo.v36i2.19978.
Rakuasa, Heinrich, Daniel Anthoni Sihasale, and Philia Christi Latue. 2022. “Model Tutupan Lahan Di Daerah Aliran Sungai Kota Ambon Tahun 2031: Studi Kasus DAS Wai Batu Gantung, Wai Batu Gajah, Wai Tomu, Wai Batu Merah Dan Wai Ruhu.” Jurnal Tanah Dan Sumberdaya Lahan 9(2):473–86. doi: 10.21776/ub.jtsl.2022.009.2.29.
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):372–87. doi: https://doi.org/10.29244/jpsl.12.2.372-387.
Sarihi, Y. R., Tilaar, S., & Rengkung, M. M. 2020. “Analisis Penggunaan Lahan Di Pulau Ternate.” Spasial 7(3):259–68.
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. doi: 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):104–18. doi: http://dx.doi.org/10.20527/jpg.v9i2.13880.
Talukdar, Swapan, Pankaj Singha, Susanta Mahato, Shahfahad, Swades Pal, Yuei-An Liou, and Atiqur Rahman. 2020. “Land-Use Land-Cover Classification by Machine Learning Classifiers for Satellite Observations—A Review.” Remote Sensing 12(7):1135. doi: 10.3390/rs12071135.
Xu, Tingting, Dingjie Zhou, and Yuhua Li. 2022. “Integrating ANNs and Cellular Automata–Markov Chain to Simulate Urban Expansion with Annual Land Use Data.” Land 11(7):1074. doi: 10.3390/land11071074.
Zhou, Ye, Tao Wu, and Yechenzi Wang. 2022. “Urban Expansion Simulation and Development-Oriented Zoning of Rapidly Urbanising Areas: A Case Study of Hangzhou.” Science of The Total Environment 807:150813. doi: https://doi.org/10.1016/j.scitotenv.2021.150813.
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