Analisis ANALISIS FAKTOR PENGARUH DAN PEMODELAN TINGKAT KEMISKINAN SECARA SPASIAL DI INDONESIA
The purpose of this study is to determine the poverty rate model and to measure the effect of education, unemployment, inflation, minimum wages and health on poverty levels in 34 provinces in Indonesia. The data of this research is sourced from secondary data that has been published by BPS Indonesia in 2021. The data taken were analyzed using spatial regression analysis techniques with the weighted function of the selected model using Adaptive Bisquare. The results of the study indicate that all independent variables have a significant influence on the poverty level and it can be seen that based on the results of the grouping, there are 10 provincial groups with the same significance of the independent variables.