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Indonesia is a country with a high level of disaster vulnerability, influenced by tectonic activity and its tropical climate. This study uses the K-Means clustering method to identify and group disaster-prone areas based on the level of vulnerability. The data used included average temperature (Tavg) and rainfall (RR) which were processed using Python. The analysis process includes data collection, pre-processing, determination of key features, and evaluation of clustering quality using the Elbow and Silhouette Score methods. The results of the grouping show two main patterns, namely flood-prone areas and drought-prone areas. These findings are expected to support the government in more effective and data-based disaster mitigation planning.  

Abstract: This study explores the communication patterns used by the Fire and Rescue Department of Bekasi City in disseminating fire disaster mitigation education at SMK Vinama 2 Bekasi. The research investigates how disaster communication is implemented through socialization programs aimed at increasing students’ awareness and preparedness toward fire hazards. Using a qualitative descriptive approach, data were collected through interviews, observation, and documentation with key informants, including officials from the Prevention Division, school representatives, and student participants. The findings reveal that the department adopts a multi-layered communication model integrating one-way, two-way, and multi-way approaches to effectively convey safety messages. The process involves formal coordination, practical demonstrations, and participatory simulations, contributing to improved literacy and proactive attitudes among students. This study highlights the essential role of structured communication patterns in enhancing disaster preparedness and proposes recommendations for strengthening participatory engagement in future educational programs.

Indonesia has significant fisheries potential due to its vast waters. Its abundant fishery resources have strong export potential. However, export activities often face challenges that cause export volumes to fluctuate. This fluctuation is influenced by various factors. These factors can be minimized using statistical methods such as Principal Component Analysis (PCA) and Factor Analysis. This study includes data characterization for each variable and testing PCA and factor analysis assumptions, including multivariate normality testing, independence testing (Bartlett's test), sampling adequacy (KMO test), anti-image correlation testing, PCA testing, and factor analysis. The results indicate that the percentage contribution of fisheries to GDP, the number of coastal villages with disaster mitigation facilities, and the average daily per capita calorie consumption from fish are relatively less dispersed and not highly variable around the mean. Additionally, all data meet the assumptions, and the sample size is adequate. Factors such as aquaculture pond production and the percentage contribution of fisheries to GDP sufficiently explain the data variations.

Drought is a hydrometeorological disaster that significantly affects water availability and agricultural activities. Pesisir Selatan Regency has diverse topographic conditions that influence the level of vulnerability to drought, thereby requiring a comprehensive spatial analysis. This study aims to map drought risk by integrating slope steepness with other biophysical parameters using Geographic Information Systems (GIS). The data employed include slope maps derived from DEMNAS, rainfall data (CHIRPS 2024), soil types, land use, and river networks. The analysis was conducted through scoring and overlay methods to produce a drought risk map. The results indicate that areas with very steep slopes (>45%) have a high level of vulnerability due to surface runoff dominance and low infiltration capacity, particularly in Bayang Utara District. In contrast, flat to gently sloping areas dominated by rice fields and forest cover are relatively low-risk. Overall, drought risk in the region is classified into three categories: low, medium, and high. The resulting maps can serve as a basis for local governments in developing spatial planning policies, water conservation infrastructure, and disaster mitigation strategies that are more adaptive and sustainable.

The research area is prone to flooding, which could potentially result in losses for the people of the research area. Based on this, it is important to map flood-prone areas, as a form of flood disaster mitigation effort to reduce the level of flood risk. Hazard mapping is an important stage in the process of disaster risk identification and analysis. Mapping flood-prone areas can use various methods or approaches. Approaches that can be used for assessing or mapping flood hazards are the geomorphological approach and community participation. This type of research is quantitative descriptive, namely a type of investigation that explains or explains a problem. Descriptive studies aim to explain populations, situations or phenomena accurately or systematically. Mapping flood hazards in the Koto Tangah District, Padang City. From the results of the analysis of the level of flood vulnerability above, the relationship between this research is that rainfall is too high and low river beds cause water to overflow into lowlands, causing the level of flood vulnerability to increase as time goes by. So The results obtained from the analysis of Flood Hazard Area Mapping are the area of ​​Koto Tangah sub-district is 22.017,43ha, by getting the level of non-prone areas with an area of ​​10.203.16ha, the level of less-prone areas with an area of ​​4.714.168ha, the level of vulnerable areas with an area of ​​3.990.458ha, the level of very vulnerable area with an area of ​​1.893,630ha. Koto Tangah District, Padang City has five levels of danger zones for flooding, based on the results of the parameter data used. Each parameter used greatly influences the level of flood risk in Koto Tangah District, Padang City, namely river buffer, land use, land height, land slope, soil type and rainfall. From the creation of flood prone levels in Koto Tangah sub-district, Padang city, areas with a very high risk of flooding are 10.68% with an area of ​​1892,630 ha, areas with a danger level of flood prone are 14.68% with an area of ​​3990,458 ha, areas with Kuang's flood-prone level is 21.40% with an area of ​​4714,168 ha, the area with a flood-safe level is 46.32% with an area of ​​10,203.16 ha.

Flooding is one of the natural disasters that occurred from the beginning of 2000 until now during the rainy season. This problem must be overcome with knowledge and a sense of community awareness in understanding disaster mitigation, especially floods, which is the aim of implementing this community service. This community service method involves lectures and tree planting, followed by data analysis for community understanding using descriptive qualitative methods. Based on the evaluation results, it shows that there has been an increase in public understanding about disaster mitigation.