The Fuzzy-AHP approach using Normalized Decision Matrix on Tourism Trend Ranking based-on Social Media

Abstract

This research discusses multi-criteria decision making (MCDM) using Fuzzy-AHP methods of tourism. The fuzzy-AHP method will rank tourism trends based on data from social media. Social media is one of the channels with the largest source of data input in determining tourism development. The development uses social media interactions based on the facilities visited, including reviews, stories, likes, forums, blogs, and feedback. This experimental analysis aims to prioritize facilities that are the trend of tourism. The priority ranking uses the fuzzy-AHP method for the process of determining weight criteria and the ranking process. The highest-ranking is on the Parks/Picnic Spots attraction and make it a priority to develop.