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Evidence Based Landslide Hazard Mapping in Purworejo using Information Value Model Approach

Forum Geografi · Vol. 33 No. 1 (2019) · hlm. 25–38

DOI
10.23917/forgeo.v33i1.7592
ISSN
2460-3945, 0852-0682
Terbit
2019-08-01
Penerbit
Universitas Muhammadiyah Surakarta
Bahasa
eng
Lisensi
creativecommons.org/licenses/by-nc-nd/4.0

Abstrak

Purworejo District, which is located in Central Java, Indonesia, is prone to landslides. These are a natural hazard that often occur in mountainous areas, so landslide hazard analysis is needed to develop mitigation strategies. This paper elaborates on the use of an evidence-based statistical approach using the Information Value Model (IVM) to conduct landslide hazard mapping. The parameters of slope, aspect, elevation, rainfall, NDVI, distance from rivers, distance from the road network, and distance from faults were employed for the analysis, which was conducted based on a raster data environment, since the pixel is the most appropriate means to represent continuous data. Landslide evidence data were collected by combining secondary data and interpreting satellite imagery to identify old landslides. The IVM was successfully calculated by combining factors related to disposition to landslides and data on 19 landslide occurrences. The results helped produce a landslide susceptibility map for the northern and eastern parts of Purworejo District.

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  • Universitas Gadjah Mada
  • Muhammadiyah University of Yogyakarta
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Rekan penulisOrganisasiArtikel bersama
Nur Mohammad FardaAfiliasi tidak diketahui3
Rahmat azul MizanAfiliasi tidak diketahui2
Projo DanoedoroUniversitas Gadjah Mada2
Winanda WinandaAfiliasi tidak diketahui2
Shelly Yeni SaputriAfiliasi tidak diketahui2
Suwarno HadisusantoUniversitas Gadjah Mada1
sukirno sukirnoAfiliasi tidak diketahui1
Hanindyo AdiAfiliasi tidak diketahui1
Abdulrahman Saad AldawoodAfiliasi tidak diketahui1
Nurul KhakhimAfiliasi tidak diketahui1
Arief WicaksonoAfiliasi tidak diketahui1
Shafiera Rosa El-YashaAfiliasi tidak diketahui1
Zulfa Nur'aini 'AfifahAfiliasi tidak diketahui1
Andri KurniawanAfiliasi tidak diketahui1
Setyawan PurnamaAfiliasi tidak diketahui1
Josaphat Tetuko Sri SumantyoAfiliasi tidak diketahui1
Taufik Heri PurwantoAfiliasi tidak diketahui1
Inti Raidah HidayatAfiliasi tidak diketahui1
Maulida Allya NasikhaAfiliasi tidak diketahui1
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Sanjiwana ArjasakusumaAfiliasi tidak diketahui1
Muhammad Sufwandika WijayaAfiliasi tidak diketahui1
Totok GunawanAfiliasi tidak diketahui1
Sugeng Juwono MardihusodoAfiliasi tidak diketahui1
Kusbaryanto KusbaryantoMuhammadiyah University of Yogyakarta1
Tri Wulandari KesetyaningsihAfiliasi tidak diketahui1
Achmad FadilahAfiliasi tidak diketahui1
Irfan Zaki IrawanAfiliasi tidak diketahui1
Kapil GhoshAfiliasi tidak diketahui1
Ahmad Faizan BustomiAfiliasi tidak diketahui1
Anggito Venuary SukamdiAfiliasi tidak diketahui1
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Sumber metadata: OAI-PMH (metadata jurnal) http://journals.ums.ac.id/index.php/fg/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">Evidence Based Landslide Hazard Mapping in Purworejo using Information Value Model Approach</dc:title>
	<dc:creator>Sudaryatno, Sudaryatno</dc:creator>
	<dc:creator>Widayani, Prima</dc:creator>
	<dc:creator>Wibowo, Totok Wahyu</dc:creator>
	<dc:creator>Wiratmoko, Bagus</dc:creator>
	<dc:creator>Nurbandi, Wahyu</dc:creator>
	<dc:subject xml:lang="en-US">Geosciences, Geography</dc:subject>
	<dc:subject xml:lang="en-US">landslide, hazard, Information Value Model</dc:subject>
	<dc:subject xml:lang="en-US">Hazard Mapping</dc:subject>
	<dc:description xml:lang="en-US">Purworejo District, which is located in Central Java, Indonesia, is prone to landslides. These are a natural hazard that often occur in mountainous areas, so landslide hazard analysis is needed to develop mitigation strategies. This paper elaborates on the use of an evidence-based statistical approach using the Information Value Model (IVM) to conduct landslide hazard mapping. The parameters of slope, aspect, elevation, rainfall, NDVI, distance from rivers, distance from the road network, and distance from faults were employed for the analysis, which was conducted based on a raster data environment, since the pixel is the most appropriate means to represent continuous data. Landslide evidence data were collected by combining secondary data and interpreting satellite imagery to identify old landslides. The IVM was successfully calculated by combining factors related to disposition to landslides and data on 19 landslide occurrences. The results helped produce a landslide susceptibility map for the northern and eastern parts of Purworejo District.</dc:description>
	<dc:publisher xml:lang="en-US">Universitas Muhammadiyah Surakarta</dc:publisher>
	<dc:contributor xml:lang="en-US">Ministry of Research, Technology and Higher Education of Republic of Indonesia</dc:contributor>
	<dc:date>2019-08-01</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:type xml:lang="en-US">Raster Based GIS Analysis</dc:type>
	<dc:format>text/html</dc:format>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journals.ums.ac.id/index.php/fg/article/view/7592</dc:identifier>
	<dc:identifier>10.23917/forgeo.v33i1.7592</dc:identifier>
	<dc:source xml:lang="en-US">Forum Geografi; Vol 33, No 1 (2019): July 2019; 25-38</dc:source>
	<dc:source>2460-3945</dc:source>
	<dc:source>0852-0682</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journals.ums.ac.id/index.php/fg/article/view/7592/4696</dc:relation>
	<dc:relation>https://journals.ums.ac.id/index.php/fg/article/view/7592/4985</dc:relation>
	<dc:coverage xml:lang="en-US">Purworejo District</dc:coverage>
	<dc:coverage xml:lang="en-US"></dc:coverage>
	<dc:coverage xml:lang="en-US"></dc:coverage>
	<dc:rights xml:lang="en-US">Copyright (c) 2019 Sudaryatno Sudaryatno, Prima Widayani, Totok Wahyu Wibowo, Bagus Wiratmoko, Wahyu Nurbandi</dc:rights>
	<dc:rights xml:lang="en-US">https://creativecommons.org/licenses/by-nc-nd/4.0</dc:rights>
</oai_dc:dc>