Fuzzy Implementation for Land Spatial Planning

Abstract

This research was carried out to determine land use with the mapping concept by implementing the fuzzy method in the Kudus district. Land use is one way of utilizing basic resources that has a strategic role and function because in general, the correct land use process will impact the ecosystem. Appropriate land use is necessary to support sustainable development. The purpose of this research is to implement fuzzy into a decision support system. The variables used as input were rainfall, land slope, soil type, and population density which were normalized using reverse score normalization and min-max normalization. The output of the fuzzy process was in the form of a defuzzification value which was then classified according to the type of land use desired and displayed on the mapping of the area. The fuzzy method was used because of the data acquisition and analysis process advantages that contain uncertainty or ambiguity. The results showed that the fuzzy method is the right solution in determining the mapping in determining the function of land into agriculture, plantations, production forests, and protected forests.