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

Soma, Andang Suryana; Kubota, Tetsuya

doi:10.24259/fs.v2i1.3594

Open access Jurnal

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

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Co-author	Organisation	Joint articles
Wahyuni Wahyuni	Affiliation unknown	2
Usman Arsyad	Affiliation unknown	2
Samuel A. Paembonan	Affiliation unknown	1
Syamsuddin Millang	Affiliation unknown	1
Leny Rachmawati	Affiliation unknown	1
Syamsu Rijal	Affiliation unknown	1
Munajat Nursaputra	Affiliation unknown	1
A. Mujetahid	Affiliation unknown	1
Tita Rahayu Arief	Affiliation unknown	1
Christin Natalia	Affiliation unknown	1
Hazairin Zubair	Affiliation unknown	1
Nurul Fahmiah	Affiliation unknown	1
Nurul Fadilah	Affiliation unknown	1
W Wahyuni	Affiliation unknown	1
Tasya Febrina Utami	Affiliation unknown	1
Astuti Arif	Affiliation unknown	1
S Syahidah	Affiliation unknown	1
Yeremias P B Waton	Affiliation unknown	1

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 5 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>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<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>
	<dc:rights xml:lang="en">http://creativecommons.org/licenses/by/4.0</dc:rights>
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