Development of Land Price Model with Geographically Weighted Regression on the Existence of Spatial Planning Zones: A Case Study in the Eastern Bandung City

One of the methods used to estimate land prices is Geographically Weighted Regression (GWR). The GWR method built based on dependent and independent variables (land prices) (the spatial proximity between object other facilities). However, this study will develop variable by adding a planning zone provide complexity price estimation. This proposes an implementation mechanism setting each type as variable. Based zones in Eastern Bandung City, there are five zones. Thus, 15 were model, with ten from public facilities categorized into worship, industry, government offices, health, sports/recreation, education, prisons, defense terminals, trade service zones, industrial low-residential, medium, high-residential results indicate that has better accuracy rate than model without involving approach proposed gives 8.6%. Spatial can be new perspective making GWR-based estimation addition physical form or social facilities, especially improve quality formed.