FLOOD DECISION SUPPORT SYSTEM (FDDS) USING MAMDANI FUZZY FOR EARLY WARNING SYSTEM IN INDONESIA

Author

Irfan Dwiguna Sumitra, S.Kom., M.Kom. Ph.D Dr. Senny Luckyardi, S. P., M.M.

Abstrak

This research aims to contribute to the fuzzy system to determine whether flood-prone areas are susceptible to flooding. The Mamdani fuzzy system for flood preparedness using toolbox simulation is focused on identifying the initial parameters that affect the communities regarding the weather conditions. However, the linguistic characteristics were categorized based on input and output using the aggregate data collected for a few Indonesian provinces, and the result was the secure, alert, or hazardous region. The performance of the developed Mamdani fuzzy model was verified in the dataset under test. The result of this method informed the communities and highest priority to be evacuated according to a fuzzy multicriteria analysis and help policymakers better understand a complicated situation in the pre-alert phase and assess the absolute need for urban zone evacuation by a limited but representative set of criteria.