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Analysis of Resistivity Value Distribution for Identification of Aquifer Layers in South Palangga District, South Konawe

Mining Science and Technology Journal · Vol. 5 No. 1 (2026) · pp. 1–7

DOI
10.54297/minetech-journal.v5i1.1459
ISSN
2962-4339
Published
2026-05-04
Publisher
Program Studi Teknik Pertambangan, Fakultas Teknik, Universitas Sulawesi Tenggara
Language
eng
License
creativecommons.org/licenses/by/4.0

Abstract

This study aims to analyze the distribution of subsurface resistivity values ​​to identify aquifer layers in South Palangga District, South Konawe Regency. The method used was geoelectric resistivity with a Wenner–Schlumberger configuration. Data acquisition was carried out on three lines, each 200 meters long and with electrode spacing of 10 meters. The measured data, in the form of apparent resistivity, were then processed using RES2DINV software to generate a two-dimensional (2D) subsurface cross-section model. The results showed that resistivity values ​​in the study area ranged from 1.61 to 43,164 Ωm, with a penetration depth of 40–55 meters. Interpretation of the resistivity cross-section indicated the presence of two main zones: a conductive zone and a resistive zone. The conductive zone, with resistivity values ​​of 1.61–76.4 Ωm, is interpreted as a water-saturated weathering layer and functions as a shallow aquifer with a thickness of approximately 20 meters. Meanwhile, resistive zones with resistivity values ​​greater than 76.4 Ωm are interpreted as relatively compact limestone bedrock. A comparative analysis between the two tracks indicates that track 2 has the most prospective aquifer potential, characterized by lower resistivity values ​​and a wider lateral distribution. Overall, the resistivity geoelectric method has proven effective in identifying the distribution of shallow aquifers and the characteristics of subsurface lithology. The results of this study are expected to provide a basis for planning the exploration and utilization of groundwater resources in the study area.

Collaboration network of the authors

40 authors · 110 co-authorship links · 33 across different organisations · showing the 40 most connected

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  • Universitas Sembilanbelas November Kolaka
  • Universitas Sulawesi Tenggara
  • Universitas Muslim Indonesia
  • Hasanuddin University
  • Universitas Halu Oleo
  • Institut Sains dan Bisnis Internasional Singkawang
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Muhamad Karnoha AmirUniversitas Sulawesi Tenggara5
Muhammad Ilham KadarUniversitas Halu Oleo4
Hariono HarionoUniversitas Sembilanbelas November Kolaka3
Nurkhalis Mahmudah DullahUniversitas Sulawesi Tenggara3
Arman HidayatUniversitas Sembilanbelas November Kolaka3
Sahrul Poalahi SaluUniversitas Sembilanbelas November Kolaka3
Al Tafakur La OdeUniversitas Sembilanbelas November Kolaka2
Haerul PurnamaUniversitas Sembilanbelas November Kolaka2
Muhammad Bottomi MasgodeAffiliation unknown2
Isramyano YatjongUniversitas Sembilanbelas November Kolaka2
Akhmad AkhmadUniversitas Muslim Indonesia1
Sri WidodoHasanuddin University1
Anshariah HaframUniversitas Muslim Indonesia1
Idham IdhamUniversitas Muslim Indonesia1
Jamal Rauf HusainHasanuddin University1
Nur AsmianiUniversitas Muslim Indonesia1
Riska RiskaUniversitas Sembilanbelas November Kolaka1
Sarif SarifUniversitas Sembilanbelas November Kolaka1
Irka Sri RezkiUniversitas Sembilanbelas November Kolaka1
Mursalim Ninoy La OlaUniversitas Sembilanbelas November Kolaka1
Muh Karnoha AmirUniversitas Sulawesi Tenggara1
Rina RembahUniversitas Sembilanbelas November Kolaka1
Yogi La Ode PrianataUniversitas Sulawesi Tenggara1
Ahmad HalirUniversitas Sembilanbelas November Kolaka1
Hasrianto HasriantoInstitut Sains dan Bisnis Internasional Singkawang1
Raivel RaivelUniversitas Sulawesi Tenggara1
Marina MarinaUniversitas Sembilanbelas November Kolaka1
Hasriyanti HasriyantiUniversitas Sembilanbelas November Kolaka1
Riski Salsabilah SultraUniversitas Sembilanbelas November Kolaka1
M. IkhsanUniversitas Sembilanbelas November Kolaka1
Syahrul SyahrulUniversitas Sembilanbelas November Kolaka1
Agry Falah AgryUniversitas Sembilanbelas November Kolaka1
Dina SeptinaUniversitas Sembilanbelas November Kolaka1
Nurfasiha NurfasihaUniversitas Sembilanbelas November Kolaka1
Muhammad KamaluddinUniversitas Sembilanbelas November Kolaka1
Muhammad Buttomi MasgodeUniversitas Sembilanbelas November Kolaka1
Fathur Rahman RustanUniversitas Sembilanbelas November Kolaka1
Al Tafakur LaodeUniversitas Sembilanbelas November Kolaka1

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://jurnal-unsultra.ac.id/index.php/minetech/oai, first harvested 30 Okt 2026, last seen 1 Nov 2026.
Original metadata (oai_dc)
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	<dc:title xml:lang="en-US">Analysis of Resistivity Value Distribution for Identification of Aquifer Layers in South Palangga District, South Konawe</dc:title>
	<dc:creator>Shaddad, Aqsal Ramdhan</dc:creator>
	<dc:creator>Dzakir, La Ode</dc:creator>
	<dc:description xml:lang="en-US">This study aims to analyze the distribution of subsurface resistivity values ​​to identify aquifer layers in South Palangga District, South Konawe Regency. The method used was geoelectric resistivity with a Wenner–Schlumberger configuration. Data acquisition was carried out on three lines, each 200 meters long and with electrode spacing of 10 meters. The measured data, in the form of apparent resistivity, were then processed using RES2DINV software to generate a two-dimensional (2D) subsurface cross-section model. The results showed that resistivity values ​​in the study area ranged from 1.61 to 43,164 Ωm, with a penetration depth of 40–55 meters. Interpretation of the resistivity cross-section indicated the presence of two main zones: a conductive zone and a resistive zone. The conductive zone, with resistivity values ​​of 1.61–76.4 Ωm, is interpreted as a water-saturated weathering layer and functions as a shallow aquifer with a thickness of approximately 20 meters. Meanwhile, resistive zones with resistivity values ​​greater than 76.4 Ωm are interpreted as relatively compact limestone bedrock. A comparative analysis between the two tracks indicates that track 2 has the most prospective aquifer potential, characterized by lower resistivity values ​​and a wider lateral distribution. Overall, the resistivity geoelectric method has proven effective in identifying the distribution of shallow aquifers and the characteristics of subsurface lithology. The results of this study are expected to provide a basis for planning the exploration and utilization of groundwater resources in the study area.</dc:description>
	<dc:publisher xml:lang="en-US">Program Studi Teknik Pertambangan, Fakultas Teknik, Universitas Sulawesi Tenggara</dc:publisher>
	<dc:date>2026-05-04</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://jurnal-unsultra.ac.id/index.php/minetech/article/view/1459</dc:identifier>
	<dc:identifier>10.54297/minetech-journal.v5i1.1459</dc:identifier>
	<dc:source xml:lang="en-US">Mining Science And Technology Journal; Vol 5 No 1 (2026): Mining Science and Technology Journal; 1-7</dc:source>
	<dc:source>2962-4339</dc:source>
	<dc:source>10.54297/minetech-journal.v5i1</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://jurnal-unsultra.ac.id/index.php/minetech/article/view/1459/1023</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2026 Aqsal Ramdhan Shaddad, La Ode Dzakir</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by/4.0</dc:rights>
</oai_dc:dc>