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

TL;DR

This paper presents a Fuzzy-AHP method utilizing social media data to rank tourism trends, effectively prioritizing facilities and attractions based on user interactions and feedback.

Contribution

It introduces a novel application of Fuzzy-AHP with normalized decision matrices to analyze social media data for tourism trend ranking.

Findings

Fuzzy-AHP successfully ranks tourism facilities with high accuracy.

Social media data effectively informs tourism trend prioritization.

The method achieves a low MSE of approximately 0.0002.

Abstract

This research discusses multi-criteria decision making (MCDM) using Fuzzy-AHP methods of tourism. The fuzzy-AHP process 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 experiment aims to prioritize facilities that are the trend of tourism. The priority ranking uses weight criteria and the ranking process. The highest rank is in the attractions of the Park/Picnic Area, with the final weight calculation value of 0.6361. Fuzzy-AHP can rank optimally with an MSE value of \approx 0.0002.