Simulasi Kebakaran Hutan dan Lahan di Provinsi Riau Menggunakan Cellular Automata

Roni Al Maududi, Rini Widia Putri Z


One of the causes of the large number of forest and land fires in Riau Province is human intent to divert forest functions, so that hotspots appear in areas that have the potential for forest and land fires. The purpose of this study was to simulate forest and land fires that occurred in Riau Province using Cellular Automata by utilizing satellite imagery. Land in Riau Province is divided into 5 states, namely: dry land, wet land, land that is being burned, land that has been burned, and land of water. The method used for simulating forest fires is the Cellular Automata to simulate the movement of fire during a fire. This method is able to explain the pattern of fire spread of the main cell fire from neighboring cells. At the end of the study, the simulation results and the movement of fire from where the hotspots appear on satellite images of Riau Province will be shown according to the state of the land cover. The results of this study are a description of the real situation of fires that occurred in Riau Province based on the emergence of hotspots and their movement patterns.


Simulation; Land;Cellular Automata.

Full Text:


Abstract views : 123 times
PDF : 40 times


A. Yusuf, H. Hapsoh, S. H. Siregar, and D. R. Nurrochmat, “Analisis Kebakaran Hutan Dan Lahan Di Provinsi Riau,” Din. Lingkung. Indones., vol. 6, no. 2, p. 67, 2019.

T. A. Pratiwi, M. Irsyad, R. Kurniawan, S. Agustian, and B. S. Negara, “Klasifikasi Kebakaran Hutan Dan Lahan Menggunakan Algoritma Naïve Bayes Di Kabupaten Pelalawan,” CESS (Journal Comput. Eng. Syst. Sci., vol. 6, no. 1, p. 139, 2021.

A. Alexandridis, D. Vakalis, C. I. Siettos, and G. V. Bafas, “A cellular automata model for forest fire spread prediction: The case of the wildfire that swept through Spetses Island in 1990,” Appl. Math. Comput., vol. 204, no. 1, pp. 191–201, 2008.

H. A. Perryman, “A mathematical model of spot fires and their management implications,” 2009.

S. Athanassopoulos, C. Kaklamanis, G. Kalfoutzos, and E. Papaioannou, “Cellular Automata: Simulations Using Matlab,” ICDS 2012 Sixth Int. Conf. Digit. Soc., no. c, pp. 63–68, 2012.

J. Quartieri, N. E. Mastorakis, G. Iannone, and C. Guarnaccia, “A Cellular Automata model for fire spreading prediction,” Int. Conf. Urban Plan. Transp. - Proc., pp. 173–179, 2010.

X. Li and W. Magill, “Modeling fire spread under environmental influence using a cellular automaton approach,” Complex. Int., vol. 8, pp. 1–14, 2000.

L. Bodrožić, D. Stipaničev, and M. Šerić, “Forest fires spread modeling using cellular automata approach,” … Split. Dep. Model. …, 2006.

A. Alexandridis, L. Russo, D. Vakalis, G. V. Bafas, and C. I. Siettos, “Wildland fire spread modelling using cellular automata: Evolution in large-scale spatially heterogeneous environments under fire suppression tactics,” Int. J. Wildl. Fire, vol. 20, no. 5, pp. 633–647, 2011.

R. C. Rothmell, “A Mathematical Model for Predicting Fire Spread,” United States Dep. Agric. For. Serv. Res. Pap., p. 46, 1972.

I. Karafyllidis and A. Thanailakis, “A model for predicting forest fire spreading using cellular automata,” Ecol. Modell., vol. 99, no. 1, pp. 87–97, 1997.

E. Gidey, O. Dikinya, R. Sebego, E. Segosebe, and A. Zenebe, “Cellular automata and Markov Chain (CA_Markov) model-based predictions of future land use and land cover scenarios (2015–2033) in Raya, northern Ethiopia,” Model. Earth Syst. Environ., vol. 3, no. 4, pp. 1245–1262, 2017.

L. Ferragut, I. Asensio, and S. Monedero, “Modelling slope, wind and moisture content effects on fire spread,” ECCOMAS 2004 - Eur. Congr. Comput. Methods Appl. Sci. Eng., pp. 1–11, 2004.

D. I. Curiac, O. Banias, C. Volosencu, and D. Pescaru, “Cellular automata based simulation for smoke and fire spreading in large buildings,” Int. Conf. Dev. Energy, Environ. Econ. - Proc., no. 0, pp. 89–94, 2010.

R. B. Widodo, “Pemodelan Spasial Resiko Kebakaran Hutan ( Studi Kasus,” Pembang. Wil. dan Kota, vol. 10, no. 2, pp. 127–138, 2014.


  • There are currently no refbacks.

Copyright (c) 2022 JOSTECH: Journal of Science and Technology

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