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Identification of Landslide Prone Areas with Schlumberger Configuration Geoelectric Method Kalongan Village East Ungaran in 2023

Advance Sustainable Science, Engineering and Technology (ASSET) · Vol. 6 No. 2 (2024)

DOI
10.26877/asset.v6i2.18163
ISSN
2715-4211, 2715-4211
Terbit
2024-03-09
Penerbit
Universitas PGRI Semarang
Bahasa
eng
Lisensi
creativecommons.org/licenses/by-sa/4.0

Abstrak

Landslides are one of the natural disasters that occur in Semarang Regency. The landslide event in Kalongan Village, East Ungaran Subdistrict took place in 2022 to 2023. The dimension of the landslide is large and has the potential to cause damage to infrastructure and settlements, mitigation measures are needed. One of the mitigation measures is to identify the lithology of the landslide area and its surroundings. This study aims to determine the lithology of the landslide area and its surroundings using the Schlumberger configuration geoelectric method. Geoelectric acquisition using a set of naniura geoelectric, with a line variation of 120 to 300 meters. The number of measurement lines is 6 VES located in the landslide zone in the Kaligetas Formation. The results showed that the avalanche zone is composed of Tufan Sandstone with a resistivity of 0.17 Ωm to 334.9 Ωm, Tuff with a resistivity of 10.03 to 26.96 Ωm, and Lava Flow with a resistivity of 1161.91 Ωm to 3040.05 Ωm. Avalanche materials were identified to be associated with lithologies such as tufan sandstone and tuff with a thickness between 5 to 50 m.

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  • State University of Semarang
  • Yogyakarta State University
  • Sunan Kalijaga State Islamic University Yogyakarta
  • Meteorological, Climatological, And Geophysical Agency
  • Tanjungpura University
  • Ministry of Public Works, Republic of Indonesia
  • Afiliasi tidak diketahui
  • Organisasi berbeda
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Rekan penulisOrganisasiArtikel bersama
Mochamad Aryono AdhiState University of Semarang4
Ilqia RahmaAfiliasi tidak diketahui3
Desi Mustami' LimayukhaState University of Semarang3
Elsa Fadlika WidyantariState University of Semarang3
Rahmania Sofyana UlyaState University of Semarang3
Juwita Nur SembriMeteorological, Climatological, And Geophysical Agency3
Desi Mustami Limayukha Desi Mustami LimayukhaAfiliasi tidak diketahui2
Elsa Fadlika Widyantari Elsa Fadlika WidyantariAfiliasi tidak diketahui2
Rahmania Sofyana Ulya Rahmania Sofyana UlyaAfiliasi tidak diketahui2
Billqis El Farsiyyi Bilqis El FarsiyyiState University of Semarang2
Ilqia Rahma Ilqia RahmaState University of Semarang2
Bilqis El FarsiyyiState University of Semarang2
Dian Susri NurhaciMeteorological, Climatological, And Geophysical Agency2
Fani RohmiasihSunan Kalijaga State Islamic University Yogyakarta2
Budi AstutiState University of Semarang1
Adam ArdiansyahState University of Semarang1
Aryono AdhiState University of Semarang1
SARWIState University of Semarang1
CindiwatiState University of Semarang1
Billqis El FarsiyyiAfiliasi tidak diketahui1
M. Aryono AdhiState University of Semarang1
Adi KurniaAfiliasi tidak diketahui1
Khafidh Nur AzizYogyakarta State University1
Yosaphat SumardiYogyakarta State University1
Denny DarmawanYogyakarta State University1
Arif GunawanMinistry of Public Works, Republic of Indonesia1
Deny DarmawanYogyakarta State University1
Yosafat SumardiYogyakarta State University1
Fitria AfrilianiYogyakarta State University1
Siti Muslihatul MahmudahYogyakarta State University1
Dian Rahayu JatiTanjungpura University1
Bontor Jumaylinda Br GultomTanjungpura University1
Affrilyno AffrilynoTanjungpura University1

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Sumber metadata: OAI-PMH (metadata jurnal) http://journal.upgris.ac.id/index.php/asset/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">Identification of Landslide Prone Areas with Schlumberger Configuration Geoelectric Method Kalongan Village East Ungaran in 2023</dc:title>
	<dc:creator>Rahmawati, Zeni</dc:creator>
	<dc:creator>Niyartama, Thaqibul Fikri</dc:creator>
	<dc:creator>Wibowo, Nugroho Budi</dc:creator>
	<dc:creator>Andi, Andi</dc:creator>
	<dc:subject xml:lang="en-US">Lithology, Landslide, Geoelectric, Schlumberger Configuration, Ungaran</dc:subject>
	<dc:description xml:lang="en-US">Landslides are one of the natural disasters that occur in Semarang Regency. The landslide event in Kalongan Village, East Ungaran Subdistrict took place in 2022 to 2023. The dimension of the landslide is large and has the potential to cause damage to infrastructure and settlements, mitigation measures are needed. One of the mitigation measures is to identify the lithology of the landslide area and its surroundings. This study aims to determine the lithology of the landslide area and its surroundings using the Schlumberger configuration geoelectric method. Geoelectric acquisition using a set of naniura geoelectric, with a line variation of 120 to 300 meters. The number of measurement lines is 6 VES located in the landslide zone in the Kaligetas Formation. The results showed that the avalanche zone is composed of Tufan Sandstone with a resistivity of 0.17 Ωm to 334.9 Ωm, Tuff with a resistivity of 10.03 to 26.96 Ωm, and Lava Flow with a resistivity of 1161.91 Ωm to 3040.05 Ωm. Avalanche materials were identified to be associated with lithologies such as tufan sandstone and tuff with a thickness between 5 to 50 m.</dc:description>
	<dc:publisher xml:lang="en-US">Universitas PGRI Semarang</dc:publisher>
	<dc:contributor xml:lang="en-US"></dc:contributor>
	<dc:date>2024-03-09</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.upgris.ac.id/index.php/asset/article/view/v6i2.18163</dc:identifier>
	<dc:identifier>10.26877/asset.v6i2.18163</dc:identifier>
	<dc:source xml:lang="en-US">Advance Sustainable Science, Engineering and Technology; Vol 6, No 2 (2024): February - April; 0240208</dc:source>
	<dc:source>2715-4211</dc:source>
	<dc:source>2715-4211</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.upgris.ac.id/index.php/asset/article/view/v6i2.18163/pdf</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2024 Advance Sustainable Science, Engineering and Technology</dc:rights>
	<dc:rights xml:lang="en-US">https://creativecommons.org/licenses/by-sa/4.0</dc:rights>
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