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DYNAMICS AND PREDICTIONS OF LAND-USE CHANGES IN SERANG RAYA AND THEIR CONFORMITY TO THE SPATIAL PLAN OF BANTEN PROVINCE

Jurnal Geografi · Vol. 14 No. 1 (2022) · hlm. 33–45

DOI
10.24114/jg.v14i1.24441
ISSN
2549-7057, 2085-8167
Terbit
2022-02-01
Penerbit
Universitas Negeri Medan
Bahasa
en

Abstrak

Inggris

Serang Raya is developing rapidly, characterized by the growing population, and increasing socioeconomic activities would threaten the sustainability as one of the food storage areas and guard the natural ecosystem in Java. The need for urban land may lead to land use with various protection functions and productive agricultural land, resulting in a decrease in food production and environmental degradation. This study aims to analyze the dynamics of land-use change in Serang Raya in 2000-2018, to predict land use in 2030, and to analyze the unconformity between land use in 2018 and the expected land use in 2030 with the spatial plan of Banten Province 2010-2030. The analytical methods used image interpretation, CA-Markov land use predictions, and overlay analysis to identify unconformity. The results showed that land use in Serang Raya had changed with a dominant pattern of change: rice fields became open land, plantations became built-up areas, and rice fields became built-up areas. Prediction of land use in 2030 shows an increase of built-up area, which is relatively high along with a decrease in paddy fields and plantations. The existing land use conditions in 2018 led to unconformity with the space allocation of 8.92% and increased to 9.31% compared to the predicted land in 2030.Keywords: Spatial Unconformity, Land Conversion, Land Prediction

Inggris

Serang Raya is developing rapidly, characterized by the growing population, and increasing socioeconomic activities would threaten the sustainability as one of the food storage areas and guard the natural ecosystem in Java. The need for urban land may lead to land use with various protection functions and productive agricultural land, resulting in a decrease in food production and environmental degradation. This study aims to analyze the dynamics of land-use change in Serang Raya in 2000-2018, to predict land use in 2030, and to analyze the unconformity between land use in 2018 and the expected land use in 2030 with the spatial plan of Banten Province 2010-2030. The analytical methods used image interpretation, CA-Markov land use predictions, and overlay analysis to identify unconformity. The results showed that land use in Serang Raya had changed with a dominant pattern of change: rice fields became open land, plantations became built-up areas, and rice fields became built-up areas. Prediction of land use in 2030 shows an increase of built-up area, which is relatively high along with a decrease in paddy fields and plantations. The existing land use conditions in 2018 led to unconformity with the space allocation of 8.92% and increased to 9.31% compared to the predicted land in 2030.Keywords: Spatial Unconformity, Land Conversion, Land Prediction

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  • IPB University
  • Kyoto University
  • Universitas Islam Negeri Sumatera Utara
  • Pakuan University
  • Indonesian Institute of Sciences
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Rekan penulisOrganisasiArtikel bersama
Ernan RustiadiIPB University4
Gunawan GunawanIPB University1
Bambang JuandaIPB University1
Reni HendrianyAfiliasi tidak diketahui1
Satrio Adi WicaksonoIPB University1
Bambang SulistyantaraIPB University1
Widiatmaka WidiatmakaIPB University1
Rista Ardy PriatamaIPB University1
Khursatul MunibahIPB University1
Alfin MurtadhoIPB University1
Izuru SaizenKyoto University1
Hermanto SiregarIPB University1
Sri WahyuniIPB University1
Nurhayati NurhayatiUniversitas Islam Negeri Sumatera Utara1
Surjono Hadi SutjahyoAfiliasi tidak diketahui1
Rosadi RosadiPakuan University1
Jonni JonniIPB University1
Omo RusdianaIPB University1
Ernest Juliyanto PandianganIPB University1
Rina MardianaIPB University1
Dodik Ridho NurrochmatIPB University1
Dwi SuprastyoAfiliasi tidak diketahui1
Sahara SaharaIPB University1
Dian NoviyantiIPB University1
Didit Okta PribadiIndonesian Institute of Sciences1
Riya SupriyatinIPB University1

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Sumber metadata: OAI-PMH (metadata jurnal) http://jurnal.unimed.ac.id/2012/index.php/geo/oai, pertama di-harvest 9 Nov 2026, terakhir terlihat 9 Nov 2026.
Metadata asli (oai_dc) 
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	<dc:title xml:lang="en">DYNAMICS AND PREDICTIONS OF LAND-USE CHANGES IN SERANG RAYA AND THEIR CONFORMITY TO THE SPATIAL PLAN OF BANTEN PROVINCE</dc:title>
	<dc:title xml:lang="en-US">DYNAMICS AND PREDICTIONS OF LAND-USE CHANGES IN SERANG RAYA AND THEIR CONFORMITY TO THE SPATIAL PLAN OF BANTEN PROVINCE</dc:title>
	<dc:creator xml:lang="en">Libriyanto, Oki</dc:creator>
	<dc:creator xml:lang="en">Pravitasari, Andrea Emma</dc:creator>
	<dc:creator xml:lang="en">Ardiansyah, Muhammad</dc:creator>
	<dc:description xml:lang="en">Serang Raya is developing rapidly, characterized by the growing population, and increasing socioeconomic activities would threaten the sustainability as one of the food storage areas and guard the natural ecosystem in Java. The need for urban land may lead to land use with various protection functions and productive agricultural land, resulting in a decrease in food production and environmental degradation. This study aims to analyze the dynamics of land-use change in Serang Raya in 2000-2018, to predict land use in 2030, and to analyze the unconformity between land use in 2018 and the expected land use in 2030 with the spatial plan of Banten Province 2010-2030. The analytical methods used image interpretation, CA-Markov land use predictions, and overlay analysis to identify unconformity. The results showed that land use in Serang Raya had changed with a dominant pattern of change: rice fields became open land, plantations became built-up areas, and rice fields became built-up areas. Prediction of land use in 2030 shows an increase of built-up area, which is relatively high along with a decrease in paddy fields and plantations. The existing land use conditions in 2018 led to unconformity with the space allocation of 8.92% and increased to 9.31% compared to the predicted land in 2030.Keywords: Spatial Unconformity, Land Conversion, Land Prediction</dc:description>
	<dc:description xml:lang="en-US">Serang Raya is developing rapidly, characterized by the growing population, and increasing socioeconomic activities would threaten the sustainability as one of the food storage areas and guard the natural ecosystem in Java. The need for urban land may lead to land use with various protection functions and productive agricultural land, resulting in a decrease in food production and environmental degradation. This study aims to analyze the dynamics of land-use change in Serang Raya in 2000-2018, to predict land use in 2030, and to analyze the unconformity between land use in 2018 and the expected land use in 2030 with the spatial plan of Banten Province 2010-2030. The analytical methods used image interpretation, CA-Markov land use predictions, and overlay analysis to identify unconformity. The results showed that land use in Serang Raya had changed with a dominant pattern of change: rice fields became open land, plantations became built-up areas, and rice fields became built-up areas. Prediction of land use in 2030 shows an increase of built-up area, which is relatively high along with a decrease in paddy fields and plantations. The existing land use conditions in 2018 led to unconformity with the space allocation of 8.92% and increased to 9.31% compared to the predicted land in 2030.Keywords: Spatial Unconformity, Land Conversion, Land Prediction</dc:description>
	<dc:publisher xml:lang="en">Universitas Negeri Medan</dc:publisher>
	<dc:date>2022-02-01</dc:date>
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	<dc:identifier>https://jurnal.unimed.ac.id/2012/index.php/geo/article/view/24441</dc:identifier>
	<dc:identifier>10.24114/jg.v14i1.24441</dc:identifier>
	<dc:source xml:lang="en">JURNAL GEOGRAFI; Vol. 14 No. 1 (2022): JURNAL GEOGRAFI; 33-45</dc:source>
	<dc:source>2549-7057</dc:source>
	<dc:source>2085-8167</dc:source>
	<dc:source>10.24114/jg.v14i1</dc:source>
	<dc:language>en</dc:language>
	<dc:relation>https://jurnal.unimed.ac.id/2012/index.php/geo/article/view/24441/17783</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2022 JURNAL GEOGRAFI</dc:rights>
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