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ESTIMASI EROSI DI DAERAH ALIRAN SUNGAI (DAS) BODRI MENGGUNAKAN METODE UNIVERSAL SOIL LOSS EQUATION (USLE)

Geo-Image Journal · Vol. 6 No. 2 (2017) · pp. 115–122

DOI
10.15294/geoimage.v6i2.19025
ISSN
2549-0362, 2252-6285
Published
2017-11-08
Publisher
Universitas Negeri Semarang
Language
eng

Abstract

The amount of sedimentation in downstream watersheds can be affected by inappropriate land use in upstream watersheds. This inappropriate use of land can lead to erosion in the Bodri watershed. The purpose of this study was to calculate the amount of erosion in the Bodri watershed using the USLE method. The variables used in this research are rain erosivity factor (R), soil erodibility factor (K), long factor and slope (LS), plant management factor (C), conservation action factor (P). Data collection techniques used include documentation, image interpretation and observation. Rainfall data processing using erosivity formula, soil erodibility, slope length and slope, crop management and conservation action using comparative technique with reference table. The amount of erosion (E) is calculated using the USLE formula, E = RxKxLSxCxP using map overlay technique. The result of this research is the average annual erosion of Bodri Watershed of 169.47 ton / ha / yr with the average annual erosion value from highest to lowest respectively, that is Putih watershed, Logung watershed, Lutut watershed and Bodri Hilir watershed with respectively 282,118 ton/ha year, 262,394 ton/ha/year, 144,193 ton/ha/year and 99,397 ton/ha/year. These results indicate that the Putih watershed contributes greatly to the erosion occurring in the Bodri watershed.

Collaboration network of the authors

40 authors · 128 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.

  • Jenderal Soedirman University
  • State University of Semarang
  • Shizuoka University
  • University of Brawijaya
  • Universitas Islam Negeri Salatiga
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Winasis WinasisAffiliation unknown6
Dewi Liesnoor SetyowatiState University of Semarang6
Erni SuhariniAffiliation unknown5
Toshihiko NoguchiShizuoka University4
Ananto AjiAffiliation unknown4
Hari SiswantoroAffiliation unknown3
Priswanto PriswantoAffiliation unknown3
Sriyanto SriyantoAffiliation unknown3
Heri TjahjonoAffiliation unknown3
Tjaturahono Budi SanjotoAffiliation unknown3
Heri TjahonoAffiliation unknown2
Saptono PutroUniversity of Brawijaya2
Hariyanto HariyantoAffiliation unknown2
Dwi Ayu LestariAffiliation unknown2
Retno SupriyantiJenderal Soedirman University2
Daru Tri NugrohoJenderal Soedirman University2
Apik Budi SantosoAffiliation unknown2
Tukidi TukidiAffiliation unknown2
Puji HardatiAffiliation unknown2
Sriyono SriyonoAffiliation unknown2
Rudiyanto RudiyantoAffiliation unknown1
Indah Nur SyafiraAffiliation unknown1
Wahid Akhsin Budi NursidiqAffiliation unknown1
Anisa ShofianaAffiliation unknown1
agus wahit rohmanAffiliation unknown1
ika budhi haryantoAffiliation unknown1
Moch. ArifienAffiliation unknown1
Aji Setiyo NugrohoAffiliation unknown1
Agus PurnomoUniversitas Islam Negeri Salatiga1
Ati AstutiAffiliation unknown1
Bregas Widya PratamaAffiliation unknown1
Dini Yuniar SafitriAffiliation unknown1
Edi PranotoAffiliation unknown1
Doni PrayogoAffiliation unknown1
Nurul SafaridaAffiliation unknown1
Siva SafitriAffiliation unknown1
Arsi Surya PrasantaAffiliation 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">ESTIMASI EROSI DI DAERAH ALIRAN SUNGAI (DAS) BODRI MENGGUNAKAN METODE UNIVERSAL SOIL LOSS EQUATION (USLE)</dc:title>
	<dc:creator>Islami, Qonitath Bella</dc:creator>
	<dc:creator>Setyaningsih, Wahyu</dc:creator>
	<dc:creator>Suroso, Suroso</dc:creator>
	<dc:description xml:lang="en-US">The amount of sedimentation in downstream watersheds can be affected by inappropriate land use in upstream watersheds. This inappropriate use of land can lead to erosion in the Bodri watershed. The purpose of this study was to calculate the amount of erosion in the Bodri watershed using the USLE method. The variables used in this research are rain erosivity factor (R), soil erodibility factor (K), long factor and slope (LS), plant management factor (C), conservation action factor (P). Data collection techniques used include documentation, image interpretation and observation. Rainfall data processing using erosivity formula, soil erodibility, slope length and slope, crop management and conservation action using comparative technique with reference table. The amount of erosion (E) is calculated using the USLE formula, E = RxKxLSxCxP using map overlay technique. The result of this research is the average annual erosion of Bodri Watershed of 169.47 ton / ha / yr with the average annual erosion value from highest to lowest respectively, that is Putih watershed, Logung watershed, Lutut watershed and Bodri Hilir watershed with respectively 282,118 ton/ha year, 262,394 ton/ha/year, 144,193 ton/ha/year and 99,397 ton/ha/year. These results indicate that the Putih watershed contributes greatly to the erosion occurring in the Bodri watershed.</dc:description>
	<dc:publisher xml:lang="en-US">Universitas Negeri Semarang</dc:publisher>
	<dc:date>2017-11-08</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
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	<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/19025</dc:identifier>
	<dc:identifier>10.15294/geoimage.v6i2.19025</dc:identifier>
	<dc:source xml:lang="en-US">Geo-Image Journal; Vol 6 No 2 (2017): Geo - Image; 115 - 122</dc:source>
	<dc:source>2549-0362</dc:source>
	<dc:source>2252-6285</dc:source>
	<dc:source>10.15294/geoimage.v6i2</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.unnes.ac.id/sju/geoimage/article/view/19025/9005</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2017 Geo-Image</dc:rights>
	<dc:rights xml:lang="en-US">http://journal.unnes.ac.id/sju/index.php/geoimage</dc:rights>
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