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CELLULAR AUTOMATA MODELING IN THE BUILT-UP AREAS WITHIN URBAN DEVELOPMENT AT PONTIANAK

Geoplanning: Journal of Geomatics and Planning · Vol. 4 No. 2 (2017) · hlm. 201–212

DOI
10.14710/geoplanning.4.2.201-212
ISSN
2355-6544
Terbit
2017-11-03
Penerbit
Department of Urban and Regional Planning, Diponegoro University
Bahasa
eng
Lisensi
creativecommons.org/licenses/by-nc-sa/4.0

Abstrak

This research integrated the GIS-Cellular Automata model with the regression model to predict urban development in Pontianak within the built up area change phenomena approach. The research aimed to understand built-up land use development in Pontianak during 1990-2015 and to predict its regional development in 2033. The employed method were satellite the image interpretation approach, hybrid interpretation, and built up land development prediction using transition rules like driving factors and inhibiting factors of urban development. The driving ones are accessibility related to distances to CBD, to main roads, and to the existing built regional areas while the inhibiting ones are peatland and the protected areas. The result showed that the hybrid interpretation, between visual and digital interpretations from the landsat images, can be used to map the built up lands with 94.8% of sampling point’s precision. The non-built up areas in Pontianak during 1990-2015 were 83.52 Ha/year, and the modelling result predicts that non-built regional areas in Pontianak during 2015-2033 will be 80.51 Ha/year heading toward northern and central areas of Pontianak.

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  • State University of Semarang
  • Cenderawasih University
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Sugiono SoetomoAfiliasi tidak diketahui2
Dewi Liesnoor SetyowatiState University of Semarang1
Trida Ridho FarizState University of Semarang1
Dwi RahmawatiAfiliasi tidak diketahui1
Meilinda DamayantiAfiliasi tidak diketahui1
Anggi Victonia LibrianiAfiliasi tidak diketahui1
Firsta Rekayasa HernoviantyAfiliasi tidak diketahui1
Justine TanuwijayaAfiliasi tidak diketahui1
Andreas Wahyu GunawanAfiliasi tidak diketahui1
Denny Maulana ArdiansyahAfiliasi tidak diketahui1
Rufia Andisetyana PutriAfiliasi tidak diketahui1
Murtanti Jani RahayuAfiliasi tidak diketahui1
Retno WidjajantiAfiliasi tidak diketahui1
Rina KurniatiAfiliasi tidak diketahui1
Holi Bina WijayaAfiliasi tidak diketahui1
Sam'ani IntakorisAfiliasi tidak diketahui1
Anang Wahyu SejatiAfiliasi tidak diketahui1
Yudi BasukiAfiliasi tidak diketahui1
Angrenggani PramitasariAfiliasi tidak diketahui1
Agung SugiriAfiliasi tidak diketahui1
Maryono MaryonoAfiliasi tidak diketahui1
Atik MunggiartiAfiliasi tidak diketahui1
Santy Paulla DewiAfiliasi tidak diketahui1
Grandy Loranessa WungoAfiliasi tidak diketahui1
Muliyadi MuliyadiAfiliasi tidak diketahui1
Purwanto PurwantoCenderawasih University1
Sri SumiyatiAfiliasi tidak diketahui1

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Sumber metadata: OAI-PMH (metadata jurnal) http://ejournal.undip.ac.id/index.php/geoplanning/oai, pertama di-harvest 8 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc) 
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	<dc:title xml:lang="en-US">CELLULAR AUTOMATA MODELING IN THE BUILT-UP AREAS WITHIN URBAN DEVELOPMENT AT PONTIANAK</dc:title>
	<dc:creator>Nurhidayati, Ely</dc:creator>
	<dc:creator>Buchori, Imam</dc:creator>
	<dc:creator>Mussadun, Mussadun</dc:creator>
	<dc:subject xml:lang="en-US">Cellular Automata; Hybird Interpretation; Built-up Area; Landsat Imagery</dc:subject>
	<dc:description xml:lang="en-US">This research integrated the GIS-Cellular Automata model with the regression model to predict urban development in Pontianak within the built up area change phenomena approach. The research aimed to understand built-up land use development in Pontianak during 1990-2015 and to predict its regional development in 2033. The employed method were satellite the image interpretation approach, hybrid interpretation, and built up land development prediction using transition rules like driving factors and inhibiting factors of urban development. The driving ones are accessibility related to distances to CBD, to main roads, and to the existing built regional areas while the inhibiting ones are peatland and the protected areas. The result showed that the hybrid interpretation, between visual and digital interpretations from the landsat images, can be used to map the built up lands with 94.8% of sampling point’s precision. The non-built up areas in Pontianak during 1990-2015 were 83.52 Ha/year, and the modelling result predicts that non-built regional areas in Pontianak during 2015-2033 will be 80.51 Ha/year heading toward northern and central areas of Pontianak.                   </dc:description>
	<dc:publisher xml:lang="en-US">Department of Urban and Regional Planning, Diponegoro University</dc:publisher>
	<dc:contributor xml:lang="en-US"></dc:contributor>
	<dc:date>2017-11-03</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en-US"></dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://ejournal.undip.ac.id/index.php/geoplanning/article/view/13006</dc:identifier>
	<dc:identifier>10.14710/geoplanning.4.2.201-212</dc:identifier>
	<dc:source xml:lang="en-US">Geoplanning: Journal of Geomatics and Planning; Vol 4, No 2 (2017); 201-212</dc:source>
	<dc:source>2355-6544</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ejournal.undip.ac.id/index.php/geoplanning/article/view/13006/pdf</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2017 GJGP-UNDIP</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-nc-sa/4.0</dc:rights>
</oai_dc:dc>