Optimization Solar Farm site selection using Multi Criteria Decision Making Fuzzy AHP and PROMETHEE: case study in Bali
The process of Solar Farm site selection is a complex issue because it involves many criteria and many factors that are classified as problem Multi Criteria Decision Making (MCDM) With computer technology, it is possible to analyze systematically the MCDM complex problems through computational intelligence techniques. Many methods have been developed to solve optimization problems of Solar Farm site selection such as Fuzzy AHP PROMETHEE. However, these methods have not integrated directly into GIS software. In this research this methods will be integrated into GIS software especially ArcGIS as a toolbox. With this toolbox, determining the location of the solar farm will be more effective and easily. This research provide the methodology and decision support so that decision makers can more easily and quickly to determine the best location of solar farm.
2016 International Conference on Information Communication Technology and Systems (ICTS)