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

Abstract

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