Utilization of Frequency Ratio and Logistic Regression Model for Landslide Susceptibility Mapping in Bogor Area

Raditya Panji Umbara (1), Dian Nuraini Melati (2), Astisiasari (3), Wisyanto (4), Syakira Trisnafiah (5), Trinugroho (6), Yukni Arifianti (7), Firman Prawiradisastra (8), Taufik Iqbal Ramdhani (9), Samsul Arifin (10), Maria Susan Anggreainy (11)
(1) Research Center for Geological Disaster, National Research and Innovation Agency (BRIN), Bandung, 40135, Indonesia
(2) Research Center for Geological Disaster, National Research and Innovation Agency (BRIN), Bandung, 40135, Indonesia
(3) Research Center for Geological Disaster, National Research and Innovation Agency (BRIN), Bandung, 40135, Indonesia
(4) Research Center for Geological Disaster, National Research and Innovation Agency (BRIN), Bandung, 40135, Indonesia
(5) Research Center for Geological Disaster, National Research and Innovation Agency (BRIN), Bandung, 40135, Indonesia
(6) Research Center for Geological Disaster, National Research and Innovation Agency (BRIN), Bandung, 40135, Indonesia
(7) Research Center for Geological Disaster, National Research and Innovation Agency (BRIN), Bandung, 40135, Indonesia
(8) Research Center for Geological Disaster, National Research and Innovation Agency (BRIN), Bandung, 40135, Indonesia
(9) Research Center for Artificial Intelligence and Cyber Security, National Research and Innovation Agency (BRIN), Bandung, Indonesia
(10) Data Science, Faculty of Engineering and Design, Institut Teknologi Sains Bandung, West Java,17530 Indonesia
(11) Computer Science Department, BINUS Graduate Program Computer Science, Bina Nusantara University, Jakarta, 11480, Indonesia
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Umbara, Raditya Panji, et al. “Utilization of Frequency Ratio and Logistic Regression Model for Landslide Susceptibility Mapping in Bogor Area ”. International Journal on Advanced Science, Engineering and Information Technology, vol. 14, no. 2, Apr. 2024, pp. 528-39, doi:10.18517/ijaseit.14.2.19345.
Java Island holds the highest record of landslide events in Indonesia. In 2021, the Bogor area, consisting of the city and regency of Bogor, recorded the highest number of landslides. These events further impact the fatalities, damage, and loss to society. Landslide mitigation should be considered to reduce the risk caused by landslide hazards. In this regard, a landslide susceptibility analysis is one of the fundamental steps in mitigation measures that can support policymakers in response to landslide disaster risk reduction. The location of landslide possibilities can be identified by mapping landslide susceptibility. Therefore, this study aims to produce a landslide susceptibility map (LSM) using a statistical frequency ratio method and logistic regression. The number of landslide inventories used in the model is about 822 events. To apply the model, the present study evaluates 13 influencing factors consisting of elevation, slope angle, slope aspect, slope curvature, Topographic Wetness Index (TWI), distance to river, lithological, distance to fault, soil type, annual rainfall, Normalized Difference Vegetation Index (NDVI), land use land cover (LULC), and road distance. The model performance is further evaluated using Area Under the ROC Curve (AUC). The frequency ratio (FR) and logistic regression (LR) models produce satisfactory results and have high predictions of future landslide occurrences with a score of 0.8317 and 0.8817, respectively.

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