Structural equation modeling on the post-flood regional public welfare in South Kalimantan

Abstract

This research was conducted to know the structural equation model on public welfare in the post-flood region of South Kalimantan in early 2021. The method and analysis in this study used Structural Equation Model (SEM) with compared the Maximum Likelihood (ML) and Generalized Least Square (GLS) approach to test and estimate the suitability of the post-flood public welfare model in South Kalimantan. The data collection technique in this study used a questionnaire to the people in areas victims of floods in South Kalimantan. The result is GLS approach gave more fit data than MLE based on AGFI and GFI values. The validated models gave the structural equation model with the final interpretation is Economy condition gives the significant relationship to the post-flood public welfare in South Kalimantan.