Dani Ramdani, Yusni Ikhwan Siregar, Zulkarnain Zulkarnain


This study aims to analyze the landchange of land use/ Land cover in Pangkalan Kerinci Subdistrict Surroundings and to make prediction model in 2039. This study uses analytical quantitative research with a correlational approach method. Land is a natural resource from the outer surface of the earth that supports life. Many factors affect land use changes, including social factors such as population and distance from settlements, economic factors such as distance from business activities and biophysical factors such as soil type, elevation, slope, rainfall and distance from rivers. This land use change is an aspect that is widely studied for the study of regional spatial planning (RTRW), The main objective of this study is to predic landcover/ land use in 2039 using Sistem Information Geografis and Cellural Automata-Markov modeling with the following details : (1) analyzing land cover/land use changes, (2) analyze the driving factors of changes, (3) Build a model prediction of landcover/ land use change in 2039, (4) Compile directives for land cover/ land use control.


CA-Markov; GIS; RTRW; Land use/cover change;

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[Bapeda] Badan Perencanaan Pembangunan Daerah. 2019. Laporan Rencana Tata Ruang Wilayah Kabupaten Pelalawan 2019 – 2039.

[Bapeda] Badan Perencanaan Pembangunan Daerah. 2020. Laporan Rencana Tata Ruang Wilayah Kabupaten Siak 2020 – 2040.

Asia Pacific Resources International Limited (APRIL),2018 (Diakses 11 Januari 2021)

Deng J.S, Wang K., Hong Y., Qi J.G. 2009. Spatio Temporal Dynamics and Evolution of Land Use Change and Landscape Pattern in Response to Rapid Urbanization. Landscape and Urban Planning. 92: 187-198.

Hedge NP, Muralikrishna IV, Chalapatirao KV. 2008. Settlement growth prediction using neural network and cellular automata. Journal of Theoretical and Applied Information Technology. 419-428.

Hermawan E. 2011. Modeling and simulating spatial distribution pattern of urban growth using integration of GIS and Cellular automata [tesis]. Bogor (ID): Institut Pertanian Bogor

Jie Z. 2010. Accuracy assessment and uncertainty analysis of spatial explicit modeling for land use/cover change and urbanization: A case in Beijing metropolitan area. Science China Earth Sciences. 53(2): 173-80

Le Quéré, C., R. M. Andrew, P. Friedlingstein, S. Sitch, J. Hauck, J. Pongratz, P. Pickers, J. I. Korsbakken, G. P. Peters dan J. G. Canadell. 2018. Global Carbon Budget 2018. Journal of Earth System Science Data, 10(4), 2141-2194.

Margono, B., P. Potapov, S. Turubanova, F. Stolle dan M. C. Hansen. 2014.Primary Forest Cover Loss in Indonesia Over 2000–2012. Nature Climate Change Journal, 4(8), 730-735.

Mas JF, Kolb M, Paeglow M, Olmedo MC, Houet T. 2013. Modeling land use/cover change changes: a comparison of conceptual approachs and softwares. Environmental Modeling and Software. 51: 94-111.

Mondal Md S, Sharma N, Garg PK, Kappas M. 2016. Statistical independence test and validation of CA Markov land use land cover (LULC) prediction results. The Egyptian Journal of Remote Sensing and Space Sciences. 19: 259-272

Munibah K. 2008. Model spasial perubahan penggunaan lahan dan arahan penggunaan lahan berwawasan lingkungan (studi kasus DAS Cidanau, Provinsi Banten) [disertasi]. Bogor (ID): Institut Pertanian Bogor.

Nefeslioglu HA, Gokceogklu C, Sonmez. 2008. An Assessment on The Use of Logistic Regression and Artificial Neural Network With Different Sampling Strategies for The Preparation of Landslide Susceptibility Maps. Engineering Technology 97: 171-191.

Nouri J, Gharagozlou A, Arjmandi R. 2014. Predicting urban land use changes using a CA-Markov Model. Arabian Journal for Science and Engineering. doi: 10.1007/s13369-014-1119-2

Riccioli F, Asmar TE, Asmar JPE, Fratini R. 2013. Use of cellular automata in the study of variables involved in land use changes: An application in the wine production sector. Environ Monit Assess. 185: 5361-5374.

Rotinsulu W, Walangitan H, Ahmad A. 2018. Analisis perubahan tutupan lahan DAS Tondano, Sulawesi Utara selama periode tahun 2002 dan 2015. Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan. 8(2): 161-169.

Skogen, K., H. Helland dan B. Kaltenborn. 2018. Concern about climate change, biodiversity loss, habitat degradation and landscape change: Embedded in different packages of environmental concern? Journal for Nature Conservation,44(1), 12-20.

Verburg PH, Veldkamp TA, Bouma J. 1999. Land use change under conditions of high population pressure: the case of Java. Global Environmental Change. 9(4): 303-312


Wahyuddin M. 2004. Industri dan Orientasi Ekspor: Dinamika dan Analisis Spasial. Surakarta (ID): Muhammadiyah University Press.

Wang SQ, Zheng XQ, Zang XB. 2012. Accuracy assessments of land use change simulation based on Markovcellular automata model. Procedia Environmental Sciences. 13: 1238-1245.

Yusuf SM, Murtilaksono K, Hidayat Y, Suharnoto Y. 2018. Analisis dan prediksi perubahan tutupan lahan diDAS Citarum Hulu. Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan. 8(3): 365-375.



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