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Pemanfaatan Sistem Informasi Geografis Untuk Kajian Tingkat Kerentanan Banjir di Kecamatan Tirto Kabupaten Pekalongan

Geo-Image Journal · Vol. 7 No. 2 (2018) · pp. 151–160

DOI
10.15294/geoimage.v7i2.23457
ISSN
2549-0362, 2252-6285
Published
2018-06-02
Publisher
Universitas Negeri Semarang
Language
eng

Abstract

This study purposed to: (1) Identify flood susceptibility level by using Geographic Information System (2) To know flood characteristics that occur in accordance with flood susceptibility level (3) Formulate effort of area management based on flood susceptibility level. The research use descriptive quantitative research method, with technique scoring and overlay for data analysis technique it. The results showed susceptible flood susceptibility covering an area of 11.07 km², a very susceptible class of 7.98 km² and a slightly susceptible class of 1.89 km². Flood characteristics in the form of deluge and rob (annual) floods occur in very susceptible classes, seasonal floods (5-10 annual repeat periods) occur in flood-prone classes, rather susceptible flooded classes are never flooded areas that result in losses. Efforts to manage potentially flooded areas in the regions are particularly susceptible to the construction of flood controls (dikes / river and marine water walls, polder, flood profing), susceptible and somewhat susceptible areas of management of the area not much different from the normalization of rivers and drainage improvements, making artificial recharge on multilevel buildings and settlement development must be in accordance with the provisions of spatial law and the development of water conservation technology in vacant land.

Collaboration network of the authors

40 authors · 94 co-authorship links · showing the 40 most connected

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

  • Universitas Halu Oleo
  • Universitas Sulawesi Tenggara
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Saptono PutroAffiliation unknown6
Ananto AjiAffiliation unknown4
Andi Irwan BenardiAffiliation unknown4
Erni SuhariniAffiliation unknown3
Hariyanto HariyantoAffiliation unknown3
Apik Budi SantosoAffiliation unknown2
Heri TjahjonoAffiliation unknown2
Muhammad Dwi Utomo AjiAffiliation unknown2
Hanna HannaUniversitas Halu Oleo1
La InoUniversitas Halu Oleo1
Supiyanto SupiyantoAffiliation unknown1
Fuad HasanUniversitas Sulawesi Tenggara1
Ihsannudin IhsannudinAffiliation unknown1
vovi_pramestyAffiliation unknown1
Wahid Akhsin Budi NursidiqAffiliation unknown1
Lucky Hikmatun Nazal FurqonAffiliation unknown1
amita asih ardiyantiAffiliation unknown1
R SugiyantoAffiliation unknown1
Dwi IrmawatiAffiliation unknown1
Desi InayatiAffiliation unknown1
Satyanta ParmanAffiliation unknown1
Putri Nur FitriaAffiliation unknown1
Ahmad Hutama Adhi NugrahaAffiliation unknown1
Aini Nur Khoirurrizqi RochmahAffiliation unknown1
Tjaturahono Budi SanjotoAffiliation unknown1
Isnaini Rahmatia IrnawatiAffiliation unknown1
Eka AnisaAffiliation unknown1
Ma'rif Nanang SuryanaAffiliation unknown1
Indah LestariAffiliation unknown1
Susetyo Hadi PurnomoAffiliation unknown1
Susetya Wicaksono SatwikaAffiliation unknown1
Suroso SurosoAffiliation unknown1
Tika Mauliya AgustinAffiliation unknown1
Sabrina Oktavia Immaculata Yoga SaputriAffiliation unknown1
Nanik IndriyaniAffiliation unknown1
ali ahmadiAffiliation unknown1
Dwi Amri WibowoAffiliation unknown1
Elina Rifda RakhmawatiAffiliation 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 5 Nov 2026.
Original metadata (oai_dc)
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	<dc:title xml:lang="en-US">Pemanfaatan Sistem Informasi Geografis Untuk Kajian Tingkat Kerentanan Banjir di Kecamatan Tirto Kabupaten Pekalongan</dc:title>
	<dc:creator>Nur, Rokhayati</dc:creator>
	<dc:creator>Sriyono, Sriyono</dc:creator>
	<dc:description xml:lang="en-US">This study purposed to: (1) Identify flood susceptibility level by using Geographic Information System (2) To know flood characteristics that occur in accordance with flood susceptibility level (3) Formulate effort of area management based on flood susceptibility level. The research use descriptive quantitative research method, with technique scoring and overlay for data analysis technique it. The results showed susceptible flood susceptibility covering an area of 11.07 km², a very susceptible class of 7.98 km² and a slightly susceptible class of 1.89 km². Flood characteristics in the form of deluge and rob (annual) floods occur in very susceptible classes, seasonal floods (5-10 annual repeat periods) occur in flood-prone classes, rather susceptible flooded classes are never flooded areas that result in losses. Efforts to manage potentially flooded areas in the regions are particularly susceptible to the construction of flood controls (dikes / river and marine water walls, polder, flood profing), susceptible and somewhat susceptible areas of management of the area not much different from the normalization of rivers and drainage improvements, making artificial recharge on multilevel buildings and settlement development must be in accordance with the provisions of spatial law and the development of water conservation technology in vacant land.</dc:description>
	<dc:publisher xml:lang="en-US">Universitas Negeri Semarang</dc:publisher>
	<dc:date>2018-06-02</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/23457</dc:identifier>
	<dc:identifier>10.15294/geoimage.v7i2.23457</dc:identifier>
	<dc:source xml:lang="en-US">Geo-Image Journal; Vol 7 No 2 (2018): Geo-Image; 151-160</dc:source>
	<dc:source>2549-0362</dc:source>
	<dc:source>2252-6285</dc:source>
	<dc:source>10.15294/geoimage.v7i2</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.unnes.ac.id/sju/geoimage/article/view/23457/10971</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>