Geospatial Modeling of Agricultural Land Use Change and Its Environmental Implications Using CA–Markov Model in Aceh Besar, Indonesia
DOI:
10.29303/jppipa.v12i3.14364Published:
2026-03-25Downloads
Abstract
Agricultural land use change is an important issue in regional development because it has direct implications for food security and environmental sustainability. This study aims to analyze changes in agricultural land use and model the projected changes and environmental implications using a geospatial approach based on Cellular Automata-Markov (CA-Markov) in Aceh Besar Regency, Indonesia. Land use data for 2012, 2018, and 2024 were analyzed using the Geographic Information System and Land Change Modeler. The classification accuracy test showed an overall accuracy value of 95% and a kappa coefficient of 0.95, which indicates an excellent level of accuracy. The results of the analysis of land use changes for the 2012–2024 period show that agricultural land has decreased significantly due to conversion into settlements and shrubs. CA–Markov modeling yields a high validation rate with a Kstandard value of 0.92. The projected land use in 2032 shows that the downward trend of agricultural land is expected to continue if effective control of space use is not carried out. The findings of this study confirm the importance of geospatial modeling as the basis for spatial planning and sustainable agricultural land protection to support the development of environmentally sound regions.
Keywords:
Agricultural Land Aceh Besar Cellular Automata–Markov (CA–Markov) Geographic Information Systems Geospatial Modeling Land Use ChangeReferences
Anand, A., & Batra, G. (2021). Using big data and geospatial approaches in evaluating environmental interventions. In Evaluating Environment in International Development (pp. 79–92). Taylor and Francis. https://doi.org/10.4324/9781003094821-7
Anggraini, S. D., Afandi, A. H., & Utama, J. Y. (2025). Dinamika Peralihan Fungsi Lahan di Wilayah Peri-Urban: Analisis Peran Pemerintah Desa Slempit, Gresik. Philosophiamundi, 3(4), 66–74.
Anindita, F. A., & Syarifudin, D. (2022). Potensi ketersediaan lahan dan sebarannya bagi kebutuhan permukiman. Moderat: Jurnal Ilmiah Ilmu Pemerintahan, 8(1), 134–144.
Ardi, I. A., & Priyoga, I. (2023). The regional transformation of Kulon Progo Regency based on land cover change and sustainable land use analysis. In S. W., N. K., & A. A.C. (Eds.), IOP Conference Series: Earth and Environmental Science (Vol. 1151, Issue 1). Institute of Physics. https://doi.org/10.1088/1755-1315/1151/1/012006
Banerjee, S., & Palit, D. (2024). Geospatial techniques in sustainable forest management for ecorestoration and different environmental protection issues. In Ecorestoration for Sustainability (pp. 351–372). Wiley Blackwell. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85168638647&partnerID=40&md5=e2a8a7a12aa7f1a1744216abdce896e4
Basu, S., Kulshrestha, S., & Kalta, S. (2025). Synergistic Impacts of Climate and Land Use Land Cover (LULC) Changes on the Hydrology of Forested Landscapes. In Eco-Resilience Biology: An Exploration of Climate-Forest Connection (pp. 277–291). CRC Press. https://doi.org/10.1201/9781003588580-15
Chaudhari, S. K. (2021). Soil and Water Management in India: Challenges and Opportunities. In Soil Science: Fundamentals to Recent Advances (pp. 751–764). Springer Nature. https://doi.org/10.1007/978-981-16-0917-6_37
Chen, S., & Wang, H. (2024). Design of a land use change prediction model incorporating neural networks. Applied Mathematics and Nonlinear Sciences, 9(1). https://doi.org/10.2478/amns-2024-2536
Dedy Miswar, D. M., I Gede Sugiyanta, G. S., & Yarmaidi, Y. (2020). Analisis Geospasial Perubahan Penggunaan Lahan Sawah Berbasis LP2B Kecamatan Pagelaran Utara. Media Komunikasi Geografi, 21(2), 130–143.
Firdiansyah, R., Mohamed, M., Yusliza, M. Y., Saputra, J., Muhammad, Z., & Bon, A. T. (2021). A review of green marketing strategy literature: Mini-review approach. Proceedings of the International Conference on Industrial Engineering and Operations Management, 5092–5108. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85114256472&partnerID=40&md5=346275921ffca13f0e88fea50acda8f4
Gao, J., Gong, J., Li, Y., Yang, J., & Liang, X. (2024). Ecological network assessment in dynamic landscapes: Multi-scenario simulation and conservation priority analysis. Land Use Policy, 139. https://doi.org/10.1016/j.landusepol.2024.107059
Hasan, S., Shi, W., Zhu, X., Abbas, S., & Khan, H. U. A. (2020). Future simulation of land use changes in rapidly urbanizing South China based on land change modeler and remote sensing data. Sustainability (Switzerland), 12(11). https://doi.org/10.3390/su12114350
Kamagate, A., Koffi, E. S., & Koffi, Y. B. (2025). Use of the LCM Model in the prospective simulation of land use in the Nafoun watershed (Northern Ivory Coast). In K. A., E. A., & V. R. A. (Eds.), E3S Web of Conferences (Vol. 607). EDP Sciences. https://doi.org/10.1051/e3sconf/202560705002
Keleş, S., Sivrikaya, F., & Günlü, A. (2025). From past to future: simulating land use and land cover changes using CA-Markov and multi-temporal satellite data. International Journal of Environmental Science and Technology, 23(1). https://doi.org/10.1007/s13762-025-06779-6
Khattak, W. A., Sun, J., Zaman, F., Jalal, A., Shafiq, M., Manan, S., Hameed, R., Khan, I., Khan, I. U., Khan, K. A., & Du, D. (2025). The role of agricultural land management in modulating water-carbon interplay within dryland ecological systems. Agriculture, Ecosystems and Environment, 378. https://doi.org/10.1016/j.agee.2024.109315
Kumar, N., Singh, V. G., Singh, S. K., Behera, D. K., & Gašparović, M. (2023). Modeling of land use change under the recent climate projections of CMIP6: a case study of Indian river basin. Environmental Science and Pollution Research, 30(49), 107219–107235. https://doi.org/10.1007/s11356-023-26960-z
Leta, M. K., Demissie, T. A., & Tränckner, J. (2021). Modeling and prediction of land use land cover change dynamics based on land change modeler (Lcm) in nashe watershed, upper blue nile basin, Ethiopia. Sustainability (Switzerland), 13(7). https://doi.org/10.3390/su13073740
Li, X., Mahdzar, S. S. S., Khaidzir, K. A. M., & Ismail, I. E. (2025). The relationship between accessibility of urban and rural high schools and enrollment rate: A county-level study. PLOS ONE, 20(6 June). https://doi.org/10.1371/journal.pone.0325263
Liu, L., Yu, S., Zhang, H., Wang, Y., & Liang, C. (2023). Analysis of Land Use Change Drivers and Simulation of Different Future Scenarios: Taking Shanxi Province of China as an Example. International Journal of Environmental Research and Public Health, 20(2). https://doi.org/10.3390/ijerph20021626
Mekuria, W., Gebregziabher, G., & Lefore, N. (2020). Exclosures for landscape restoration in ethiopia: Business model scenarios and suitability. IWMI Research Report, 175, 1–52. https://doi.org/10.5337/2020.201
Mengist, A., Nega, W., & Dires, T. (2023). Determinants for the escalation of informal settlements and its consequences in the suburbs of Butajira Town; Central Ethiopia. International Journal of Urban Sustainable Development, 15(1), 230–249. https://doi.org/10.1080/19463138.2023.2227857
Mulya, S. P., Munif, M., Pravitasari, A. E., & Rustiadi, E. (2022). Land use and spatial planning in the border area of Bogor Regency and Bogor City, West Java Province, Indonesia. IOP Conference Series: Earth and Environmental Science, 950(1). https://doi.org/10.1088/1755-1315/950/1/012099
Myga-Piątek, U. (2023). The integrative role of landscape research. From scientific ideas to socio-economic implementations. Czasopismo Geograficzne, 94(4), 697–730. https://doi.org/10.12657/czageo-94-28
Purboyo, A. A., Kurniawan, A., & Muta’ali, L. (2024). Analisis Spasial Temporal Perubahan Tutupan Lahan Di Kawasan Perkotaan Cekungan Bandung Berbasis Google Earth Engine. Jurnal Pendidikan Geografi Undiksha, 12(2), 251–260.
Purnamasari, I. (2026). Tinjuan Pustaka: Pendekatan Penginderaan Jauh dalam Analisis Dampak Perubahan Iklim terhadap Produktivitas Kopi. Jurnal Penginderaan Jauh Indonesia, 5(1), 9–16.
Rai, A., Singh, A. K., Gupta, A. K., Yadav, B., & Chand, S. (2024). Remote Sensing: A Satellite-Based Advanced Geospatial Technology Boon in Natural Resource Management. In Sustainable Development and Geospatial Technology: Applications and Future Directions: Volume 2 (Vol. 2, pp. 109–126). Springer Nature. https://doi.org/10.1007/978-3-031-65703-0_7
Rambe, R. A., Purmini, P., Alfansi, L., Armelly, A., & Yusnida, Y. (2023). Examining the roles of labor factors, investment, and industrialization in poverty alleviation: Empirical evidence from Sumatra, Indonesia. Poverty and Public Policy, 15(4), 431–446. https://doi.org/10.1002/pop4.385
Rehberger, E., West, P. C., Spillane, C., & McKeown, P. C. (2023). What climate and environmental benefits of regenerative agriculture practices? an evidence review. Environmental Research Communications, 5(5). https://doi.org/10.1088/2515-7620/acd6dc
Romero-Cano, L. A., Zárate-Navarro, M. A., Aguilar-Garnica, E., & Padilla-Arizmendi, F. (2025). Critical analysis of the educational objectives and graduate attributes of a chemical engineering program in the western of Mexico: Towards the integration of sustainable approaches based on regional problems. Education for Chemical Engineers, 51, 53–63. https://doi.org/10.1016/j.ece.2025.02.003
Shabrinna, I. T. (2021). Kajian Perubahan Penggunaan Lahan Di Kecamatan Tampan Berbasis Metode Cellular Automata. Universitas Islam Riau.
Shanmugam, P. M., Sangeetha, S. P., Prabu, P. C., Varshini, S. V, Renukadevi, A., Ravisankar, N., Parasuraman, P., Parthipan, T., Satheeshkumar, N., Natarajan, S. K., & Gopi, M. (2024). Crop–livestock-integrated farming system: a strategy to achieve synergy between agricultural production, nutritional security, and environmental sustainability. Frontiers in Sustainable Food Systems, 8. https://doi.org/10.3389/fsufs.2024.1338299
Singh, T. P., Singh, N., Ramdane-Cherif, A., Tomar, R., & Choudhary, R. (2025). Green Computing for Sustainable Development. In Green Computing for Sustainable Development. CRC Press. https://doi.org/10.1201/9781003471356
Widayani, P., Salsabila, H. N., & Andriantari, A. (2023). Dampak Perubahan Penutup dan Penggunaan Lahan Terhadap Nilai Jasa Ekosistem di Kabupaten Sleman. Majalah Geografi Indonesia, 37(2), 104–113.
Wu, X., & Zhang, J. (2024). Case Study on Spatial Mismatch between Multivariate and Student-Teacher Rate in U.S. Public School Districts. Social Sciences, 13(2). https://doi.org/10.3390/socsci13020093
Zahir, I. L. M., Thennakoon, S., Sangasumana, R. P., Herath, J., Madurapperuma, B., & Iyoob, A. L. (2021). Spatiotemporal Land-Use Changes of Batticaloa Municipal Council in Sri Lanka from 1990 to 2030 Using Land Change Modeler. Geographies, 1(3), 166–177. https://doi.org/10.3390/geographies1030010
Zhang, Z., Hörmann, G., Huang, J., & Fohrer, N. (2023). A Random Forest-Based CA-Markov Model to Examine the Dynamics of Land Use/Cover Change Aided with Remote Sensing and GIS. Remote Sensing, 15(8). https://doi.org/10.3390/rs15082128
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