SENTIMENT ANALYSIS OF THE GOPAY APPLICATION USING THE NAIVE BAYES METHOD BASED ON USER REVIEWS

Miswan Gumanti; Rudi Aprianto; Fista Anisa Zahra; Muhamad Muslihudin

doi:10.56327/ijiscs.v9i3.1865

SENTIMENT ANALYSIS OF THE GOPAY APPLICATION USING THE NAIVE BAYES METHOD BASED ON USER REVIEWS

Miswan Gumanti⁽¹⁾, Rudi Aprianto⁽²⁾, Fista Anisa Zahra⁽³⁾, Muhamad Muslihudin⁽⁴⁾,

(1) Information Systems Study Program, Bakti Nusantara Institute, Lampung
(2) Information Systems Study Program, Bakti Nusantara Institute, Lampung
(3) Information Systems Study Program, Bakti Nusantara Institute, Lampung
(4) Information Systems Study Program, Bakti Nusantara Institute, Lampung

Corresponding Author

Abstract

The development of financial technology, particularly digital wallet applications, has made significant progress in Indonesia. One of the most widely used applications is GoPay, which offers various conveniences in conducting financial transactions. However, despite GoPay 's many advantages, user responses to this application are not always positive. Some users provide negative comments reflecting their less than satisfactory experiences. In this context, this study aims to analyze sentiment from user reviews of the GoPay application using the Naive Bayes method, which is known to be effective in text classification. This method was chosen because of its ability to classify data well, even in large and diverse datasets. This study involved data collection from platforms Using Kaggle, 1,000 reviews were randomly selected for further analysis. The analysis revealed that positive comments predominated among the reviews. This indicates that the majority of users had a positive experience with the GoPay app, although there were also a number of negative reviews worth noting.

Keywords

Sentiment Analysis, GoPay, Naive Bayes, User

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