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Pemodelan Spasial Untuk Penentuan Zonasi Rawan Kawasan Rawan Bencana Aliran Materil Erupsi Gunung Ungaran Menggunakan Aplikasi Sistem Informasi Geografis (SIG)

Geo-Image Journal · Vol. 7 No. 1 (2018) · pp. 18–30

DOI
10.15294/geoimage.v7i1.23390
ISSN
2549-0362, 2252-6285
Published
2018-05-30
Publisher
Universitas Negeri Semarang
Language
eng

Abstract

The purpose of this research is to model or describe the distribution of material flow eruption and to know the zoning vulnerable to the disaster of Mount Ungaran if one day there is a volcanic disaster. The method used to model the flow of eruption material is by using Monte Carlo methods of numerical simulation with the assumption that the topography determines the course of the flow. Determination of zoning of disaster prone areas is done by using overlay technique of eruption material flow aspect, land use condition aspect, morphology aspect, and sensitivity aspect to hazard represented by weight value. The result of this research is to produce the eruption material flow model at three different location points, the point is based on the chance of eruption activity. At the first point the area of eruption flow is 3.91𝑘𝑚2, the second point is 1.25𝑘𝑚2, and the third point is 2.51𝑘𝑚2. Zoning of disaster prone areas produces disaster-prone class which is divided into very low, low, medium, and high class. At all three locations the eruption shows that the high disaster-prone zoning class has the smallest area compared to the extent of other disaster-prone zoning classes.

Collaboration network of the authors

40 authors · 116 co-authorship links · 1 across different organisations · showing the 40 most connected

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

  • State University of Semarang
  • Institut Teknologi Sepuluh Nopember
  • University of Brawijaya
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Apik Budi SantosoAffiliation unknown5
Eva BanowatiAffiliation unknown4
Dewi Liesnoor SetyowatiState University of Semarang3
Ananto AjiAffiliation unknown3
Tjaturahono Budi SanjotoAffiliation unknown3
Fahrur RoziInstitut Teknologi Sepuluh Nopember2
Niken SubektiState University of Semarang2
Heru SetyantoAffiliation unknown2
Sonika MaulanaAffiliation unknown2
Rifa’atunnisa Rifa’atunnisaAffiliation unknown2
Aprillia FindayaniAffiliation unknown2
Moch. ArifienAffiliation unknown2
Asep Pujasari NugrahaAffiliation unknown2
Tjahjono HeriAffiliation unknown2
Suyahmo SuyahmoAffiliation unknown2
Sarto SartoAffiliation unknown1
Lia NuraeniAffiliation unknown1
Edi KurniawanAffiliation unknown1
Hariyanto HariyantoAffiliation unknown1
Afkar Jihad Al-afghani AfkarAffiliation unknown1
Andi Irwan BenardiAffiliation unknown1
Mutmainnah Farida RidwanAffiliation unknown1
Saptono PutroUniversity of Brawijaya1
Novia Retno NingsihAffiliation unknown1
Meriena Mustikaning KussusiloAffiliation unknown1
Akhmad Ervin FAffiliation unknown1
Indah Nur FitrianiAffiliation unknown1
Ariyani IndrayatiAffiliation unknown1
Anisa Ulul AsmiAffiliation unknown1
Hana Torba GultomAffiliation unknown1
Siti RohanaAffiliation unknown1
Febrina LarasatiAffiliation unknown1
Rahmatika Dwi IlmaAffiliation unknown1
Eko PurnomoAffiliation unknown1
Puji HardatiAffiliation unknown1
Harianto HariantoAffiliation unknown1
Sula Ari ApriantoAffiliation unknown1

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) https://journal.unnes.ac.id/sju/index.php/geoimage/oai, first harvested 5 Nov 2026, last seen 8 Nov 2026.
Original metadata (oai_dc)
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	<dc:title xml:lang="en-US">Pemodelan Spasial Untuk Penentuan Zonasi Rawan Kawasan Rawan Bencana Aliran Materil Erupsi Gunung Ungaran Menggunakan Aplikasi Sistem Informasi Geografis (SIG)</dc:title>
	<dc:creator>Rizki, Ananda Yusuf</dc:creator>
	<dc:creator>Juhadi, Juhadi</dc:creator>
	<dc:creator>Mochammad, Arifien</dc:creator>
	<dc:description xml:lang="en-US">The purpose of this research is to model or describe the distribution of material flow eruption and to know the zoning vulnerable to the disaster of Mount Ungaran if one day there is a volcanic disaster. The method used to model the flow of eruption material is by using Monte Carlo methods of numerical simulation with the assumption that the topography determines the course of the flow. Determination of zoning of disaster prone areas is done by using overlay technique of eruption material flow aspect, land use condition aspect, morphology aspect, and sensitivity aspect to hazard represented by weight value. The result of this research is to produce the eruption material flow model at three different location points, the point is based on the chance of eruption activity. At the first point the area of eruption flow is 3.91𝑘𝑚2, the second point is 1.25𝑘𝑚2, and the third point is 2.51𝑘𝑚2. Zoning of disaster prone areas produces disaster-prone class which is divided into very low, low, medium, and high class. At all three locations the eruption shows that the high disaster-prone zoning class has the smallest area compared to the extent of other disaster-prone zoning classes.</dc:description>
	<dc:publisher xml:lang="en-US">Universitas Negeri Semarang</dc:publisher>
	<dc:date>2018-05-30</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">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.unnes.ac.id/sju/geoimage/article/view/23390</dc:identifier>
	<dc:identifier>10.15294/geoimage.v7i1.23390</dc:identifier>
	<dc:source xml:lang="en-US">Geo-Image Journal; Vol 7 No 1 (2018): Geo-Image; 18-30</dc:source>
	<dc:source>2549-0362</dc:source>
	<dc:source>2252-6285</dc:source>
	<dc:source>10.15294/geoimage.v7i1</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.unnes.ac.id/sju/geoimage/article/view/23390/10935</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2018 Geo-Image</dc:rights>
	<dc:rights xml:lang="en-US">https://journal.unnes.ac.id/sju/index.php/geoimage</dc:rights>
</oai_dc:dc>