Melola Discovery

← Melola Discovery

Open access Journal SINTA 1

Identification of Groundwater Potential Zones Using Remote Sensing and GIS Technique: A Case Study of the Ketungau Basin in Sintang, West Kalimantan

Indonesian Journal of Geography · Vol. 55 No. 2 (2023) · pp. 221–234

DOI
10.22146/ijg.78629
ISSN
2354-9114, 0024-9521
Published
2023-08-18
Publisher
Faculty of Geography, Universitas Gadjah Mada
Language
eng
License
creativecommons.org/licenses/by-nc/4.0

Abstract

Groundwater is one of the most valuable natural resources in Sintang, but essential basic information regarding its properties and characteristics is presently unavailable. Currently, systemic and uniform investigations, as well as groundwater potential zones mapping are yet to be conducted within the framework of basin area units to support development activities. Therefore, this study aims to identify and map groundwater potential zones using remote sensing and GIS. The employed data were obtained from drainage density, slope steepness, straightness density, total rainfall, lithology, soil type, and land use land cover. The method applied was an interpretation of secondary data, which included a) identification and evaluation of criteria, b) data collection, c) preprocessing, and e) reclassification, while the analysis technique used was a weighted overlay. The results showed that the study location has five classes of groundwater potential zones, namely highly potential, potential, moderate, non-potential, and highly non-potential with areas of 120,754.08 ha (20.62%), 220,693.71 ha (37.69%), 109,668.44 ha ( 18.73), 93,404.38 ha (15.95%), and 41,068.31 ha (7.01%), respectively. Highly potential and groundwater potential zones were identified in the central, eastern, and western parts of the Ketungau basin. In contrast, the dominant non-potential and highly non-potential zones were found along the northern basin boundary. Based on the results, remote sensing and GIS approaches are practical tools for identifying groundwater potential zones, which can be used to determine policies related to groundwater utilization.

Keywords

Collaboration network of the authors

40 authors · 172 co-authorship links · 5 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.

  • Hasanuddin University
  • Mulawarman University
  • Universitas Halu Oleo
  • Sekolah Tingi Pertanian Kutai Timur
  • Badan Pengkajian dan Penerapan Teknologi
  • Padjadjaran University
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Gunarto LatamaHasanuddin University3
Bistari BistariAffiliation unknown3
Hamdani HamdaniMulawarman University2
Tarina DashelaAffiliation unknown2
Veven VevenAffiliation unknown2
Abas RudinUniversitas Halu Oleo1
Zainuddin ZainuddinHasanuddin University1
Badraeni BadraeniHasanuddin University1
Andi Aliah HidayaniHasanuddin University1
Besse Tenri NurkamilahHasanuddin University1
Dody Dh. TrijunoHasanuddin University1
Elmi Nurhaidah ZainuddinHasanuddin University1
Edison SaadeHasanuddin University1
Hasni Yulianti AzisHasanuddin University1
Irfan AmbasHasanuddin University1
Muhammad Iqbal DjawadHasanuddin University1
Marlina AchmadHasanuddin University1
Muh. Yusri KarimHasanuddin University1
Siti AslamyahHasanuddin University1
Yushinta FujayaHasanuddin University1
Mey Angraeni TamalSekolah Tingi Pertanian Kutai Timur1
Joni AriansyahAffiliation unknown1
Suharyon SuharyonBadan Pengkajian dan Penerapan Teknologi1
Hendri PurnamaAffiliation unknown1
Asmi Citra Malina A.R. TassakkaAffiliation unknown1
Muhammad SahirAffiliation unknown1
Herliyanti HerliyantiAffiliation unknown1
Nur Ulfa DamayantiAffiliation unknown1
Sondi KuswaryanPadjadjaran University1
Nia KurniatiAffiliation unknown1
Reginawanti HindersahAffiliation unknown1
Dadang Epi SukarsaAffiliation unknown1
Hary Soedarto HarjonoAffiliation unknown1
Janiasari JaniasariAffiliation unknown1
Zarina ZarinaAffiliation 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) http://jurnal.ugm.ac.id/ijg/oai, first harvested 8 Nov 2026, last seen 8 Nov 2026.
Original metadata (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">Identification of Groundwater Potential Zones Using Remote Sensing and GIS Technique: A Case Study of the Ketungau Basin in Sintang, West Kalimantan</dc:title>
	<dc:creator>Purwanto, Ajun</dc:creator>
	<dc:creator>Paiman, Paiman</dc:creator>
	<dc:creator>Andrasmoro, Dony</dc:creator>
	<dc:creator>Eviliyanto, Eviliyanto</dc:creator>
	<dc:creator>Rustam, Rustam</dc:creator>
	<dc:subject xml:lang="en-US"></dc:subject>
	<dc:subject xml:lang="en-US">Identification; Groundwater Potential Zones; Remote Sensing; GIS; Ketungau Basin</dc:subject>
	<dc:subject xml:lang="en-US"></dc:subject>
	<dc:description xml:lang="en-US">Groundwater is one of the most valuable natural resources in Sintang, but essential basic information regarding its properties and characteristics is presently unavailable. Currently, systemic and uniform investigations, as well as groundwater potential zones mapping are yet to be conducted within the framework of basin area units to support development activities. Therefore, this study aims to identify and map groundwater potential zones using remote sensing and GIS. The employed data were obtained from drainage density, slope steepness, straightness density, total rainfall, lithology, soil type, and land use land cover. The method applied was an interpretation of secondary data, which included a) identification and evaluation of criteria, b) data collection, c) preprocessing, and e) reclassification, while the analysis technique used was a weighted overlay. The results showed that the study location has five classes of groundwater potential zones, namely highly potential, potential, moderate, non-potential, and highly non-potential with areas of 120,754.08 ha (20.62%), 220,693.71 ha (37.69%), 109,668.44 ha ( 18.73), 93,404.38 ha (15.95%), and 41,068.31 ha (7.01%), respectively. Highly potential and groundwater potential zones were identified in the central, eastern, and western parts of the Ketungau basin. In contrast, the dominant non-potential and highly non-potential zones were found along the northern basin boundary. Based on the results, remote sensing and GIS approaches are practical tools for identifying groundwater potential zones, which can be used to determine policies related to groundwater utilization.</dc:description>
	<dc:publisher xml:lang="en-US">Faculty of Geography, Universitas Gadjah Mada</dc:publisher>
	<dc:contributor xml:lang="en-US"></dc:contributor>
	<dc:date>2023-08-18</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:type xml:lang="en-US"></dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.ugm.ac.id/ijg/article/view/78629</dc:identifier>
	<dc:identifier>10.22146/ijg.78629</dc:identifier>
	<dc:source xml:lang="en-US">Indonesian Journal of Geography; Vol 55, No 2 (2023): Indonesian Journal of Geography; 221-234</dc:source>
	<dc:source>2354-9114</dc:source>
	<dc:source>0024-9521</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.ugm.ac.id/ijg/article/view/78629/pdf</dc:relation>
	<dc:relation>https://journal.ugm.ac.id/ijg/article/downloadSuppFile/78629/23611</dc:relation>
	<dc:relation>https://journal.ugm.ac.id/ijg/article/downloadSuppFile/78629/23612</dc:relation>
	<dc:coverage xml:lang="en-US"></dc:coverage>
	<dc:coverage xml:lang="en-US"></dc:coverage>
	<dc:coverage xml:lang="en-US"></dc:coverage>
	<dc:rights xml:lang="en-US">Copyright (c) 2023 Ajun Purwanto, Paiman Paiman, Dony Andrasmoro, Eviliyanto Eviliyanto, Rustam Rustam</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-nc/4.0</dc:rights>
</oai_dc:dc>