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

Rifqi Aulya Rahman; Yuana Sukmawaty; Selvi Annisa

doi:10.36456/jstat.vol18.no1.a10474

Authors

Rifqi Aulya Rahman Lambung Mangkurat University
Yuana Sukmawaty Lambung Mangkurat University
Selvi Annisa Lambung Mangkurat University

DOI:

https://doi.org/10.36456/jstat.vol18.no1.a10474

Keywords:

Apriori, Association Rules, Flood, Exploration

Abstract

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.

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