Exploring Association of Household Conditions and Community Behavior in Flood Events in Banjarbaru Using Apriori Method

J Statistika : Jurnal Ilmiah Teori Dan Aplikasi Statistika
Vol 18 No 1 (2025): Jurnal Ilmiah Teori dan Aplikasi Statistika

Floods in Banjarbaru have mostly been studied from the perspective of natural and physical causes, such as rainfall and the region's topography. Meanwhile, the association between household conditions and community behavior during floods is rarely explored quantitatively. This research aims to fill that gap by applying the Apriori algorithm to questionnaire data from flood-affected households to find association rules. The study found that disruptions in livelihoods during floods tend to be followed by a decrease in income, while floods lasting more than one day generally trigger the evacuation of family members and prompt the government to provide temporary shelters. These key rules imply that flood mitigation policies should prioritize early warning systems, pre-positioning of shelter facilities, and targeted economic assistance to enhance the resilience of affected households.