Sentiment Analysis Using Fuzzy Logic on Medan Culinary Tourism Based on Google Maps User Reviews About Lontong Kak Lin

Nicholas Valentino; Said Iskandar Al Idrus; Mansur AS; Didi Febrian; Debi Yandra Niska

doi:10.59934/jaiea.v4i3.1006

Authors

Nicholas Valentino Universitas Negeri Medan
Said Iskandar Al Idrus Universitas Negeri Medan
Mansur AS Universitas Negeri Medan
Didi Febrian Universitas Negeri Medan
Debi Yandra Niska Universitas Negeri Medan

DOI:

https://doi.org/10.59934/jaiea.v4i3.1006

Keywords:

Sentiment Analysis, Fuzzy Logic, Google Maps, Fuzzy Inference System

Abstract

In the digital era, user reviews on platforms like Google Maps play a crucial role in assessing the quality of culinary destinations. Lontong Kak Lin, a well-known culinary spot in Medan, has received numerous customer reviews. This study aims to analyze user sentiment towards Lontong Kak Lin using the fuzzy logic method. The research methodology includes collecting user reviews from Google Maps, preprocessing the text by cleaning data, tokenization, and removing stopwords, followed by applying fuzzy logic to classify sentiments into positive, neutral, and negative categories. Sentiment analysis is conducted using the Fuzzy Inference System (FIS), integrating the VADER and TextBlob algorithms to handle subjectivity in reviews. The study results show that out of 994 collected reviews, 697 reviews (70%) were classified as positive, 130 (13%) as negative, and 167 (16%) as neutral. The developed model achieved an accuracy rate of 66%, with precision of 80% for the positive class, 49% for the negative class, and 21% for the neutral class. These findings suggest that combining FIS with TextBlob and VADER can effectively analyze sentiment in textual data. This research aims to provide valuable insights for culinary business owners to improve service quality based on customer feedback.

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