Modeling of Factors Influencing Village Disaster Mitigation(Study on Post-Disaster Events in Indonesia)

Based on data sourced from the Indonesian Central Statistics Agency (BPS) in 2020, of the 25,504 villages that experienced a disaster in the previous year, only 49.96% of villages had disaster mitigation. Theoretically, the higher the level of village disaster vulnerability, the higher the possibility that a village will have adequate disaster mitigation facilities. Disaster-prone areas need to prioritize their disaster mitigation. The factors that influence village disaster mitigation need to be researched further so that they can be taken into consideration by policymakers. The research aims to analyze the factors that influence village disaster mitigation after a disaster occurs in Indonesia. This study uses a quantitative approach. Research data was obtained based on the results of the 2020 Village Development Survey by the Central Statistics Agency (BPS) of the Republic of Indonesia. The data analysis method used is descriptive analysis and the Ordinary Least Square (OLS) regression model. The research results show that the number of disasters, the number of disasters types, and location of disaster villages have a positive and significant effect on village disaster mitigation. Meanwhile, the average number of fatalities per village disaster event shows a negative and insignificant influence on village disaster mitigation. However, the regression results of all independent variables together have a high level of significance in influencing village disaster mitigation. Village, regional, or central governments are expected to consider factors related to previous disaster events when preparing village disaster mitigation and contingency plans.