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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) · pp. 201–212

DOI
10.14710/geoplanning.4.2.201-212
ISSN
2355-6544
Published
2017-11-03
Publisher
Department of Urban and Regional Planning, Diponegoro University
Language
eng
License
creativecommons.org/licenses/by-nc-sa/4.0

Abstract

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.

Keywords

Collaboration network of the authors

22 authors · 41 co-authorship links · 6 across different organisations

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Diponegoro University
  • Sebelas Maret University
  • Politeknik Negeri Pontianak
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Sugiono SoetomoDiponegoro University2
Denny Maulana ArdiansyahDiponegoro University1
Murtanti Jani RahayuSebelas Maret University1
Retno WidjajantiDiponegoro University1
Rufia Andisetyana PutriSebelas Maret University1
Rina KurniatiDiponegoro University1
Holi Bina WijayaDiponegoro University1
Sam'Ani IntakorisDiponegoro University1
Yudi BasukiDiponegoro University1
Angrenggani PramitasariDiponegoro University1
Agung SugiriDiponegoro University1
Anang Wahyu SejatiDiponegoro University1
Maryono MaryonoDiponegoro University1
Atik MunggiartiAffiliation unknown1
Grandy Loranessa WungoDiponegoro University1
Santy Paulla DewiDiponegoro University1
Purwanto PurwantoDiponegoro University1
Sri SumiyatiDiponegoro University1
Muliyadi MuliyadiDiponegoro University1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) http://ejournal.undip.ac.id/index.php/geoplanning/oai, first harvested 8 Nov 2026, last seen 8 Nov 2026.
Original metadata (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>
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	<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>
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