JITCoS : Journal of Information Technology and Computer System
Vol. 1 No. 1 (2025): Volume 1 Number 1, June 2025

Application Of Naive Bayes Algorithm For Sentiment Analysis On Economic Recession Threat

Panggabeanan, Fajar Gilang Ramadhan (Unknown)



Article Info

Publish Date
30 Jun 2025

Abstract

Recession is a condition in which real economic growth becomes negative, or in other words, there is a decline in Gross Domestic Product (GDP) for two consecutive quarters in one year. A recession is characterized by a weakening of the global economy that has an impact on the domestic economy in various countries. The greater the dependence of a country on the global economy, the more likely the country is to experience a recession. An economic recession can cause a simultaneous decline in all economic activities, including corporate profits, employment, and investment. In this study, data was collected from YouTube using a crawling technique, with a total of 200 comments analyzed. These comments were then labeled with a lexicon-based method using an Indonesian dictionary. The preprocessing stage was carried out to prepare the data before sentiment analysis. In addition, the TF-IDF word weighting method was applied with the bigram feature (n = 1) in the analysis. The system was evaluated using a confusion matrix, and the results showed that the prediction model, which was based on 200 opinion data with a 9:1 split ratio between training data and test data, achieved an accuracy of 75.00%. However, the precision, recall, and F1-score values each show 0.00%. The performance of the system model built in this study shows less than satisfactory results and may require improvements to increase its effectiveness.

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Journal Info

Abbrev

jitcos

Publisher

Subject

Computer Science & IT Control & Systems Engineering

Description

JITCoS: Journal of Information Technology and Computer System is a peer-reviewed scholarly journal that aims to advance the theory and practice of information technology and computer systems. The journal seeks high-quality contributions from researchers, academics, and industry professionals that ...