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Landslide susceptibility map using certainty factor for hazard mitigation in mountainous areas of Ujung-loe watershed in South Sulawesi

Forest and Society · Vol. 2 No. 1 (2018) · pp. 79–91

DOI
10.24259/fs.v2i1.3594
ISSN
2549-4333, 2549-4724
Published
2018-04-26
Publisher
Forestry Faculty, Universitas Hasanuddin
Language
en
License
creativecommons.org/licenses/by/4.0

Abstract

This study aims to build a landslide susceptibility map (LSM) by using certainty factor (CF) models for mitigation of landslide hazards and mitigation for people who live near to the forest. In the study area, the mountainous area of the Ujung-loe watersheds of South Sulawesi, Indonesia, information on landslides were derived from aerial photography using time series data images from Google Earth Pro© from 2012 to 2016 and field surveys. The LSM was built by using a CF model with eleven causative factors. The results indicated that the causative factor with the highest impact on the probability of landslide occurrence is the class of change from dense vegetation to sparse vegetation (4-1), with CF value 0.95. The CF method proved to be an excellent method for producing a landslide susceptibility map for mitigation with an area under curve (AUC) success rate of 0.831, and AUC predictive rate 0.830 and 85.28% of landslides validation fell into the high to very high class. In conclusion, correlations between landslide occurrence with causative factors shows an overall highest LUC causative factor related to the class of change from dense vegetation to sparse vegetation, resulting in the highest probability of landslide occurrence. Thus, forest areas uses at these locations should prioritize maintaining dense vegetation and involving the community in protection measures to reduce the occurrence of landslide risk. LSM models that apply certainty factors can serve as guidelines for mitigation of people living in this area to pay attention to landslide hazards with high and very high landslide vulnerability and to be careful to avoid productive activities at those locations.

Keywords

Collaboration network of the authors

24 authors · 55 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

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.unhas.ac.id/index.php/fs/oai, first harvested 5 Nov 2026, last seen 8 Nov 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en">Landslide susceptibility map using certainty factor for hazard mitigation in mountainous areas of Ujung-loe watershed in South Sulawesi</dc:title>
	<dc:creator xml:lang="en">Soma, Andang Suryana</dc:creator>
	<dc:creator xml:lang="en">Kubota, Tetsuya</dc:creator>
	<dc:subject xml:lang="en">Landslide</dc:subject>
	<dc:subject xml:lang="en">certainty factor</dc:subject>
	<dc:subject xml:lang="en">mitigation</dc:subject>
	<dc:subject xml:lang="en">South Sulawesi</dc:subject>
	<dc:description xml:lang="en">This study aims to build a landslide susceptibility map (LSM) by using certainty factor (CF) models for mitigation of landslide hazards and mitigation for people who live near to the forest. In the study area, the mountainous area of the Ujung-loe watersheds of South Sulawesi, Indonesia, information on landslides were derived from aerial photography using time series data images from Google Earth Pro© from 2012 to 2016 and field surveys. The LSM was built by using a CF model with eleven causative factors. The results indicated that the causative factor with the highest impact on the probability of landslide occurrence is the class of change from dense vegetation to sparse vegetation (4-1), with CF value 0.95. The CF method proved to be an excellent method for producing a landslide susceptibility map for mitigation with an area under curve (AUC) success rate of 0.831, and AUC predictive rate 0.830 and 85.28% of landslides validation fell into the high to very high class. In conclusion, correlations between landslide occurrence with causative factors shows an overall highest LUC causative factor related to the class of change from dense vegetation to sparse vegetation, resulting in the highest probability of landslide occurrence. Thus, forest areas uses at these locations should prioritize maintaining dense vegetation and involving the community in protection measures to reduce the occurrence of landslide risk. LSM models that apply certainty factors can serve as guidelines for mitigation of people living in this area to pay attention to landslide hazards with high and very high landslide vulnerability and to be careful to avoid productive activities at those locations.</dc:description>
	<dc:publisher xml:lang="en">Forestry Faculty, Universitas Hasanuddin</dc:publisher>
	<dc:date>2018-04-26</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
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	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.unhas.ac.id/index.php/fs/article/view/3594</dc:identifier>
	<dc:identifier>10.24259/fs.v2i1.3594</dc:identifier>
	<dc:source xml:lang="en">Forest and Society; Vol. 2 No. 1 (2018): APRIL; 79-91</dc:source>
	<dc:source>2549-4333</dc:source>
	<dc:source>2549-4724</dc:source>
	<dc:language>en</dc:language>
	<dc:relation>https://journal.unhas.ac.id/index.php/fs/article/view/3594/pdf</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2019 Forest and Society</dc:rights>
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