#TITLE_ALTERNATIVE#
The land market price have tendency to increased, but the adjustment of NJOP doesn’t comply with the increasement. The number of land assessor and assessment time were not proportional to the amount of land and building, therefore it’s difficult doing an assessment for NJOP adjustment. The stu...
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| Format: | Theses |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/20129 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | The land market price have tendency to increased, but the adjustment of NJOP doesn’t comply with the increasement. The number of land assessor and assessment time were not proportional to the amount of land and building, therefore it’s difficult doing an assessment for NJOP adjustment. The study of characteristics of spatial and non-spatial factors using an Artificial Neural Network model (ANN) are expected to identify the most significant factors that influence the NJOP adjustments. Spatial factors consist the location from particular reference. Non-spatial factor consists of economic and social. Economic factors related by measured from per capita income and inflation rate. Social factors related to population density in the area. NJOP adjustments calculating spatial and non spatial factors using ANN results predictions close to real NJOP by 97.52%. |
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