Regresi Logistik Kerawanan Bencana Longsor di Sub Daerah Aliran Sungai Minraleng Daerah Aliran Sungai Bila Walanae = Logistic Regression on Landslide Vulnerability in Minraleng Sub Watershed Bila Walanae Watershed

Indonesia is one of the countries that often experience natural disasters, including earthquakes, floods, tsunamis, and landslides. The National Disaster Management Agency or BNBP (2022) stated that 19.8% or 7,089 cases of the total of all disasters were landslide disasters spread in almost all major islands. Specifically in South Sulawesi, BNBP (2022) stated that 14.4% or 84 cases were cases of landslides. Casualties due to this disaster vary, ranging from tens to hundreds of people displaced according to the scale of the incident. This research aims to identify landslide events, analyse the factors that influence landslide events and create a landslide vulnerability map that can be used as a mitigation and disaster response effort by the local government and community, especially in Minraleng Sub Watershed of Bilawalanae Watershed. The method used in this research is Logistic Regression (LR) which can assess the effectiveness of landslide susceptibility map making. Nine factors that cause landslides (slope, distance from fault, distance from river, distance from road, rainfall, elevation lithology, curvature and land cover change) gave the best results. The results showed that the LR method with the best vulnerability results with ten iterations was in iteration 6. The success rate of AUC Succes 0.853, AUC Predictive 0.832, Asymptotic 95% Succes 0.840 - 0.865, Asymptotic 95% Predictive 0.810 - 0.853. Validation with landslides included in the high and very high class are 1.23% and 0.16%. This research recommends that people in the Minraleng Sub Watershed of Bila Walanae Watershed, especially those living near the river and areas with steep to very steep slopes, are advised not to do land conversion to prevent landslides.