Implementation of the AHP-SAW Method in the Decision Support System for Selecting the Best Tourism Village

Abstract

From the perspective of advanced tourism growth, Indonesia s economy is expected to enter the top ten in the world by 2025 before the 2020 COVID-19 pandemic. Balinese workforce absorbs nearly a third of the total population and Balinese are involved in tourism. Garbage and congestion are problems the government must solve in building a better Bali tourism industry in the future. One way to solve this problem is to develop rural ecotourism, which can choose to use a decision support system. In this study, the method used was a combination of AHP-SAW. This manual DSS calculation process can be implemented in web-based software. DSS employs 3 tourists as decision maker. There are 10 alternative tourism villages tested using AHP-SAW, and the tourist villages produced by Pemuteran are the most popular tourist villages. Pemuteran Tourism Village obtained a score of 0.9241. Jatiluwih Tourism Village obtained a score of 0.9117 in second place; Plaga Tourism Village obtained a score of 0.9115 in third place.