PEMODELAN PERTUMBUHAN EKONOMI DI PROVINSI BANTEN MENGGUNAKAN MIXED GEOGRAPHICALLY WEIGHTED REGRESSION

Hasbi Yasin (Departemen Statistika, Fakultas Sains dan Matematika, Universitas Diponegoro)
Budi Warsito (Departemen Statistika, Fakultas Sains dan Matematika, Universitas Diponegoro)
Arief Rachman Hakim (Departemen Statistika, Fakultas Sains dan Matematika, Universitas Diponegoro)

Media Statistika
Vol 11, No 1 (2018): Media Statistika

Economic growth can be measured by amount of Gross Regional Domestic Product (GRDP). Based on official news of statistics BPS, Economic growth in Banten region has increase up to 5.59%. It supported by several sector, there are agriculture, business, industry and from various fields. Mixed Geographically Weighted Regression (MGWR) methods have been developed based on linear regression by giving spatial effect or location (longitude and latitude), the resulting model from Economic growth in Banten will be local or different based on each location. MGWR mixed method between linear regression and GWR, parameters in linear regression are global and GWR parameters are local. The results more specific because economic growth in Banten region assessed by location.Keywords: Banten, Economic growth, MGWR.