Pemodelan Tingkat Pengangguran Terbuka Di Pulau Sulawesi Dengan Menggunakan Geographically Weighted Regression (GWR)

The level of open unemployment is one of the important aspects that impedes the employment development program in the regencies/cities on Sulawesi Island. Sulawesi Island has unemployment rates that vary between districts/cities in 2017, so we need a modeling to overcome this. Open unemployment can be analyzed using Geographically Weighted Regression (GWR). The GWR method is one method that can be used to form a local regression analysis for each location. GWR analysis is an analysis to solve problems with data that contain effects of spatial heterogeneity. The parameter estimator of the GWR model is obtained using Weighted Least Square (WLS). The results of this study obtained the GWR regression model as follows:

? = -158.410 – 43,924 X1 – 0,3483 X2 + 0,1143 X3 + 6,2739 X4 + 2.971,5 X5 + 3,8656 X6 + 1.790,3 X7 + 51,116 X8

Factors affecting open unemployment are population density (X1) and GRDP at current prices (X4) obtained from probability values < 0,05.

Keywords : Open Unemployment, GWR, WLS