# Landslide susceptibility mapping using a combination of frequency ratio and fuzzy logic methods in the Malino Sub-watershed, Jeneberang Watershed, Indonesia
> Soma A.S.

URL kanonis: https://discover.unhas.ac.id/publications/landslide-susceptibility-mapping-using-a-combination-of-frequency-ratio-and-fuzz
Jurnal / Konferensi: Iop Conference Series Earth and Environmental Science
Tahun terbit: 2025
DOI: https://doi.org/10.1088/1755-1315/1445/1/012060
ISSN: 17551307
Citations: 1

## Authors
- Soma A.S.

## Abstract
Abstract The Malino Sub-watershed is a part of the Jeneberang watershed that can cause natural disasters in landslides with various triggering factors. Therefore, it is necessary to analyze landslide susceptibility by knowing the distribution and factors influencing landslides and mapping using the frequency ratio and fuzzy logic methods. The parameters used in this study include rainfall, curvature, river distance, road distance, fault distance, slope, altitude, lithology, and land cover. These parameters are processed to obtain the ratio value and normalized based on different formulas to get the fuzzy membership value. The results revealed 371 landslide events. The slope was > 45%, and the cover of scrublands had the highest probability value, with a frequency ratio of 11.76 and a fuzzy membership value of 1. The landslide susceptibility map using the Gamma operator with Model 1 on fuzzy membership 3 has the best validation value, with an AUC for a success rate of 0.743 and a prediction level of 0.747. A very low class dominated the susceptibility area with a percentage of 54.15%, followed by high and very high classes with a percentage of 4.14%.

## Keywords
- Watershed
- Fuzzy logic
- Landslide
- Environmental science
- Hydrology (agriculture)
- Geology
- Geomorphology
- Computer science
- Artificial intelligence
- Geotechnical engineering
- Machine learning

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Sumber: Discover Unhas — RIMS Universitas Hasanuddin.
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