Application of Binary Logistic Regression Analysis on Household Welfare in Banjarmasin City

Abstract

Household welfare refers to the conditions in which households can achieve a good standard of living and fulfill their basic needs. CIFOR states that decreasing poverty can be interpreted as increasing prosperity. Based on data on the number of poor people in South Kalimantan in 2022, Banjarmasin City has the highest number of poor people and has not yet met the poverty target contained in the South Kalimantan Regional RPJM for 2021 -2026. Thus, this research aims to obtain a general picture of the welfare status of households and determine factors that are thought to influence household welfare. The analysis method used is binary logistic regression. The research uses SUSENAS secondary data in 2022. The results of this research show that households in Banjarmasin City have the characteristics of a Head of Household with an average age of 48 years, male, primary school education, employment status as laborer/ employee/ employee, and the average number of household members is three people. The variables of the number of household members and the highest level of education in the household head significantly influence the welfare status of households in Banjarmasin City in 2022. For this reason, the thing that can be recommended to reduce the poverty rate as an effort to maintain and improve household welfare is that the government should continue to control the number of household members by campaigning for the importance of households in carrying out Family Planning and maximizing the twelve-year compulsory education program year in Banjarmasin City.