Fuzzy Decision Support Model for Determining Plants Planted in Specific Suitable Areas in Indonesia

This study is discussing a construction of decision support model (DSM) to fit plant types with specific area. The model uses the fuzzy logic method as a basis for calculations in choosing the right plants to be planted in certain areas and can reduce the risk of loss due to incorrect selection of plants. DSM works by analyzing the ecological and economic values inherent in soil and plant variables. In the analysis of ecological values, starting with the use of the fuzzy logic method for parameterizing to get a crisp value, then proceed with calculating the Euclidean value to get the minimum distance between the parameters of the soil variable of an area with plant variables that can be planted. Continue to economic analysis by calculating the value of optimization. Fuzzy can be used to convey information from ambiguous data. Taking into account the parameters that can be produced suitable plants in terms of ecology; namely rainfall, humidity, temperature, altitude/height, and sunshine; and economic aspects, namely the consistency of market prices for areas Surabaya, Sulawesi South, Central Kalimantan, East Kalimantan, and Banten