Permodelan Perubahan Penggunaan Lahan Berbasis Cellular Automata dan Sistem Informasi Geografis dengan Menggunakan LanduseSim

Nursakti Adhi Pratomoatmojo

Abstract


Penelitian ini bertujuan untuk menjelaskan melalui proses terkait metode pemodelan perubahan penggunaan lahan (land use change) berbasis Cellular Automata menggunakan perangkat lunak LanduseSim di Kota Pekalongan. Adapun maksud dalam penelitian ini adalah untuk menjelaskan metode Cellular Automata yang digunakan dalam pemodelan yang bersifat eksperimental. Penggunaan lahan yang disimulasikan untuk tumbuh pada wilayah penelitian ini terdiri dari dua kelas; kelas Industri-Transportasi dan kelas Permukiman. Faktor-faktor pendorong yang digunakan pada penelitian ini terbatas untuk ujicoba beserta bobot yang ditetapkan sebagai data hipotesis. Kota Pekalongan dipilih sebagai lokasi studi pemodelan penggunaan lahan. Pada penelitian ini, hasil simulasi dengan pendekatan Cellular Automata dengan data raster resolusi rendah, menunjukkan bahwa penggunaan pada tingkat kedetailan 1 Hektar masih layak dan dapat dilakukan untuk memberikan gambaran prediksi pada skala ketelitian tertentu.

Kata Kunci: LanduseSim, Cellular Automata, Sistem Informasi Geografis, Land use change


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References


Adhvaryu, B. 2010. Enhancing urban planning using simplified models: SIMPLAN for Ahmedabad, India. Progress in Planning, 73, 113-207.

Batty, M. 1997. Cellular automata and urban form: a primer, Journal of the American Planning Association, 63(2), 266-274.

Batty, M., Xie, Y., Sun, Z. 1999. Modeling urban dynamics through GIS-based cellular automata. Computers, Environments and Urban Systems, 23, 205-233.

Barredo, J., Kasanko, M., McCormick, M., Lavalle, C. 2003. Modelling dynamic spatial processes: Simulation of urban future scenarios through cellular automata. Landscape and Urban Planning, 64, 145-160.

Barredo, J.I., Demicheli, L., Lavalle, C., Kasanko, M., McCormick, N. 2004. Modelling future urban scenarios in developing countries: An application case study in Lagos, Nigeria. Environment and Plannning B, 31, 65-84.

Chen, J., Gong, P., He, C., Luo, W., Tamura, M., Shi, P. 2002. Assessment of the urban development plan Beijing by using a CA-based urban growth model. Photogrammetric Engineering & Remote Sensing, 68, 1063-1071.

Clarke, K.C., Hoppen, C. Gaydos, L. 1997. A self-modifying cellular automaton model of historical urbanisation in the San Francisco Bay Area, Environment and Planning B, 24, 247-261.

Engelen, G., 1988. The theory of self-organization and modeling complex urban system. Eur. J. Oper. Res, 37, 42-57.

Engelen, G., Geertman, S., Smits, P., Wessels, C. 1999. Dynamic GIS and strategic physical planning support: a practical application, Chapter 5 in Stillwell, J.C.H., Geertman, S. and Openshaw, S. (eds) Geographical Information and Planning, Springer, Berlin, 87-111.

Fuglsang, M., Munier, B., Hansen, HS. 2013. Modelling land-use effects of future urbanization using cellular automata: An Eastern Danish case. Environmental Modelling & Software, 50, 1-11.

Gharbia, S.S., Alfatah, S.A., Gill, L. et al. 2016. Land use scenarios and projections simulation using an integrated GIS cellular automata algorithms. Model. Earth Syst. Environ. (2016) 2: 151. https://doi.org/10.1007/s40808-016-0210-y

Hall, P. 2002. Urban and Regional Planning Fourth Edition, Routledge.

He, C., Okada, N., Zhang, Q., Shi, P., Li, J. 2008. Modelling dynamic urban expansion processes incorporating a potential model with cellular automata. Landscape and Urban Planning, 86, 79-91.

Itami, R.M. 1994. Simulating spatial dynamics: cellular automata theory. Landscape and Urban Planning, 30, 24-47.

Lambin, E.F., Geisth, H. 2001. Global land use and land cover change: What have learn so far?. Global Change News Letter, 46, 27-30.

Li, X. and Yeh, A.G.O. 2000. Modelling sustainable urban development by the integration of constrained cellular automata and GIS, International Journal of Geographical Information Science, 14(2), 131-152.

Li, X. and Yeh, A.G.O. 2004. Data mining of cellular automata’s transition rules. International Journal Geograhpical Information Science, 18, 723-744.

MacGill, S.M. 1986. Evaluating a heritage of modelling styles. Environmental and Planning A, 18, 1423-1446.

Marfai, M.A., Pratomoatmojo, N.A., Hidayatullah, T., Nirwansyah, A.W., & Gomaeruzzaman, M. 2011. Model Kerentanan Wilayah Pesisir Berdasarkan Perubahan Garis Pantai dan Banjir Pasang (Studi Kasus: Wilayah Pesisir Pekalongan). RedCarpet Studio. Yogyakarta

Mitsova, D., Shuster, W., Wang, X. 2011. A cellular automata model of land cover change to integrate urban growth with open space conservation. Landscape and Urban Planning, 99, 141-153.

Nugroho, A.A. 2013. Model Perubahan Landuse akibat kenaikan muka air laut dan pasang maksimum di pantai utara teluk lamong (PUTL) bagian surabaya. Master Tesis Teknik Manajemen Pantai ITS. Indonesia

Pratomoatmojo, N.A. 2014. LanduseSim sebagai aplikasi pemodelan dan simulasi spasial perubahan penggunaan lahan berbasis Sistem Informasi Geografis dalam konteks perencanaan wilayah dan kota. Seminar Nasional CITIES 2014. ISBN : 978-602-71612-0-7

Pratomoatmojo, N.A. 2012. Land use change modelling under tidal flood scenario by means of Markov-Cellular Automata in Pekalongan Municipal. Universitas Gadjah Mada, Yogyakarta.

Rutledge, D. 2003. Landscape indices as Measures of the Effect of Fragmentation: Can Pattern Reflect Process?. DOC Sci. Intern. Ser. 98, pp. 1-27, 2003.

Sante I., Garcia, A.M., Miranda, D., Crecente, R. 2010. Cellular automata models for the simulation of real-world urban processes: A review and analysis. Landscape and Urban Planning, 96, 108-122.

Satty, T.L. 1980. The analytic hierarchy process. McGraw-Hill, New York.

Thomas, H., Laurence, H.M. 2006. Modelling and projecting landuse and land-cover changes with a cellular automaton in considering landscape trajectories: an improvement for simulation of plausible future states. EARSeL eProceedings 5, 63-76.

Tobler, W. R. 1979. Cellular geography, in Gale, S. and Olsson, G. (eds) Philosophy in Geography, Reidel, Dordrectht, 379-386.

Verburg, P.H., Veldkamp, W.S.A., Espaldon, R.L.V., Mastura, S.S.A. 2002. Modeling the spatial dynamics of regional land use: The CLUE-S Model. Environmental Management, 30, 391-405.

Wijaya, A., Susetyo, C., Diny, A.Q., Nabila, D.H., Pamungkas, R.P., Hadikunnuha, M., and Pratomoatmojo, N.A. 2017. Spatial Pattern Dynamics Analysis at Coastal Area Using Spatial Metric in Pekalongan, Indonesia. doi:10.20944/preprints201705.01 45.v1

Wolfram, S. 1984. Cellular automata as models of complexity, Nature, 311, 419–424.

Xue, F. and Bian, Z. 2008. GIS combined with MCE to evaluate land quality. Agriculture, IFIP International Federation for Information Processing, Volume 258; Computer And Computing Technologies, 1, 215-222.


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