Abstract & Overview
Poverty is a fundamental problem that existed and still occurs in Indonesia. This analysis was conducted to describe the factors that influence the welfare low status in sub-districts of North Sulawesi Province. Global regression has obtained influence variables to poverty status are woman leader in household (X1), Child not in formal education (X2), physical defect (X3), chronic desease victim (X5), self-owned house (X6), household using electricity (X8) and household using its own toilet (X10). Geographical weighted regression analysis (GWR) is a locally model, in order to estimates of parameters at each location. The result of GWR has different parameter estimation at each the location. Mix Geographical weighted regression model (MGWR) has combined local and global parameters. As well as the GWR, MGWR model results has give different parameter estimation at each location. GWR Model is the best model to explain the influence of the low welfare status in sub-districts of North Sulawesi Province which has the smallest value of MSE and AIC and the largest of R2 between Global Regression and MGWR.