Disaster Risk Analysis and Modeling for Strategic Decision Making in DKI Jakarta

Fachdy Nurdin, Anatansyah Ayomi Anandari, Rudy Agus Gemilang Gultom, Achmad Farid Wadjdi


DKI Jakarta as an important national center, faces significant challenges in disaster risk management. This research aims to develop a model that can predict and reduce the impact of disasters in Jakarta, thereby making an important contribution to strengthening the city's resilience and the safety of its residents. This research uses an empirical quantitative approach, with main data from the Central Statistics Agency (BPS) and the National Disaster Management Agency (BNPB). The main focus is on correlation analysis and multiple linear regression analysis to explore the relationship between various variables such as infrastructure vulnerability, population density, and disaster frequency, as well as their combined impact on disaster risk. The research results show that Total Casualties, Inflation, Gini Index, and Number of Affected Villages are significantly correlated with disaster risk. Regression analysis reveals that Total Casualties have the most dominant influence. Economic stability and a localized approach to risk management were also found to be important factors. This research confirms that disaster risk management in Jakarta requires a comprehensive and integrated approach. Total Casualties as the dominant variable emphasizes the need for effective disaster response strategies. Meanwhile, economic and social factors such as inflation and the Gini Index also play a key role in determining vulnerability to disasters. A segmented approach based on the Number of Affected Villages is important for an efficient mitigation strategy.


DKI Jakarta, Economy, Gini Index, Inflation, Disaster Risk, Total Casualties

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DOI: http://dx.doi.org/10.52155/ijpsat.v42.2.5934


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