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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) · hlm. 151–160

DOI
10.15294/geoimage.v7i2.23457
ISSN
2549-0362, 2252-6285
Terbit
2018-06-02
Penerbit
Universitas Negeri Semarang
Bahasa
eng

Abstrak

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.

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Hanna HannaUniversitas Halu Oleo1
La InoUniversitas Halu Oleo1
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Fuad HasanUniversitas Sulawesi Tenggara1
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Sumber metadata: OAI-PMH (metadata jurnal) https://journal.unnes.ac.id/sju/index.php/geoimage/oai, pertama di-harvest 5 Nov 2026, terakhir terlihat 5 Nov 2026.
Metadata asli (oai_dc)
<oai_dc:dc xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/  http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
	<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>