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THE PERFORMANCE OF LAND USE CHANGE CAUSATIVE FACTOR ON LANDSLIDE SUSCEPTIBILITY MAP IN UPPER UJUNG-LOE WATERSHEDS SOUTH SULAWESI, INDONESIA

Geoplanning: Journal of Geomatics and Planning · Vol. 4 No. 2 (2017) · pp. 157–170

DOI
10.14710/geoplanning.4.2.157-170
ISSN
2355-6544
Published
2017-10-10
Publisher
Department of Urban and Regional Planning, Diponegoro University
Language
eng
License
creativecommons.org/licenses/by-nc-sa/4.0

Abstract

The study aims to develop and apply land use change (LUC) performance on landslide susceptibility map using frequency ratio (FR), and Logistic regression (LR) method in a geographic information system. In the study area, Upper Ujung-loe Watersheds area of Indonesia, landslides were detected using field survey and air photography from time series data image of Google Earth Pro from 2012 to 2016 and LUC from 2004 to 2011. Landslide susceptibility map (LSM) was constructed using FR and LR with nine causative factors. The result indicated that LUC affect the production of LSM. Validation of landslide susceptibility was carried out in this study at both with and without LUC causative factors. First, performances of each landslide model were tested using AUC curve for success and predictive rate. The highest value of predictive rate at with LUC in both FR and LR method were 83.4 % and 85.2 %, respectively. In the second stage, the ratio of landslides falling on high to a very high class of susceptibility was obtained, which indicates the level of accuracy of the method.LR method with LUC had the highest accuracy of 80.24 %. Taken together, the results suggested that changing the vegetation to another landscape causes slopes unstable and increases probability to landslide occurrence.

Keywords

Collaboration network of the authors

28 authors · 65 co-authorship links · 7 across different organisations

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Hasanuddin University
  • Kyushu University
  • Ministry of Environment and Forestry, Republic of Indonesia
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Usman ArsyadHasanuddin University3
Leny RachmawatiMinistry of Environment and Forestry, Republic of Indonesia1
S A PaembonanHasanuddin University1
Syamsu RijalHasanuddin University1
Munajat NursaputraHasanuddin University1
Syamsuddin MillangHasanuddin University1
A MujetahidHasanuddin University1
Wahyuni WahyuniHasanuddin University1
Tita Rahayu AriefHasanuddin University1
Akbar Wahyudi Akbar WahyudiHasanuddin University1
Wahyuni WahyuniHasanuddin University1
Christin NataliaHasanuddin University1
Hazairin ZubairHasanuddin University1
Nurul FahmiahAffiliation unknown1
Nurul FadilahHasanuddin University1
Tasya Febrina UtamiHasanuddin University1
Wahyuni WahyuniHasanuddin University1
Astuti ArifAffiliation unknown1
Astuti ArifHasanuddin University1
Yeremias P B WatonHasanuddin University1
Sumayyah SyahidahHasanuddin University1
Putri Fatimah NurdinAffiliation unknown1
Yumna YumnaAffiliation unknown1
Akmal AkmalAffiliation unknown1
Sukriming SaparengAffiliation unknown1
Burhanuddin NurAffiliation 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://ejournal.undip.ac.id/index.php/geoplanning/oai, first harvested 8 Nov 2026, last seen 8 Nov 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en-US">THE PERFORMANCE OF LAND USE CHANGE CAUSATIVE FACTOR ON LANDSLIDE SUSCEPTIBILITY MAP IN UPPER UJUNG-LOE WATERSHEDS SOUTH SULAWESI, INDONESIA</dc:title>
	<dc:creator>Soma, Andang Suryana</dc:creator>
	<dc:creator>Kubota, Tetsuya</dc:creator>
	<dc:subject xml:lang="en-US">Land use change, landslide susceptibility, frequency ratio, logistic regression</dc:subject>
	<dc:description xml:lang="en-US">The study aims to develop and apply land use change (LUC) performance on landslide susceptibility map using frequency ratio (FR), and Logistic regression (LR) method in a geographic information system. In the study area, Upper Ujung-loe Watersheds area of Indonesia, landslides were detected using field survey and air photography from time series data image of Google Earth Pro from 2012 to 2016 and LUC from 2004 to 2011. Landslide susceptibility map (LSM) was constructed using FR and LR with nine causative factors. The result indicated that LUC affect the production of LSM. Validation of landslide susceptibility was carried out in this study at both with and without LUC causative factors. First, performances of each landslide model were tested using AUC curve for success and predictive rate. The highest value of predictive rate at with LUC in both FR and LR method were 83.4 % and 85.2 %, respectively. In the second stage, the ratio of landslides falling on high to a very high class of susceptibility was obtained, which indicates the level of accuracy of the method.LR method with LUC had the highest accuracy of 80.24 %. Taken together, the results suggested that changing the vegetation to another landscape causes slopes unstable and increases probability to landslide occurrence.</dc:description>
	<dc:publisher xml:lang="en-US">Department of Urban and Regional Planning, Diponegoro University</dc:publisher>
	<dc:contributor xml:lang="en-US">BPPLN DIKTI 2015, Hasanuddin University, Kyushu University</dc:contributor>
	<dc:date>2017-10-10</dc:date>
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	<dc:identifier>https://ejournal.undip.ac.id/index.php/geoplanning/article/view/15421</dc:identifier>
	<dc:identifier>10.14710/geoplanning.4.2.157-170</dc:identifier>
	<dc:source xml:lang="en-US">Geoplanning: Journal of Geomatics and Planning; Vol 4, No 2 (2017); 157-170</dc:source>
	<dc:source>2355-6544</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ejournal.undip.ac.id/index.php/geoplanning/article/view/15421/Soma%26Kubota</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2017 GJGP-UNDIP</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-nc-sa/4.0</dc:rights>
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