Prediction model for agro-tourism development using adaptive neuro-fuzzy inference system method

Abstract Indonesia is one of the most important centers for biodiversity in world with highest level endemism. Meanwhile, tourism and strategic economic sectors future. It hoped that development industry will also be able to support efforts conserve nature, biological wealth, national cultural wealth. The identification planning needs done more detail carefully. In this article, prediction model from local government community developing agro-tourism was proposed. built using Adaptive Neuro-Fuzzy Inference System (ANFIS) method. Data were taken 56 members as respondents around area. results modeling ANFIS method showed satisfactory an accuracy 98.89%. surrounding community-based still considered not optimal. There a synergy between two various recommendations realistic support.