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All Journal Journal of Blockchain, Nfts and Metaverse Technology
Endah Tri Eshti Handayani
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Computer Science & IT Decision Sciences, Operations Research & Management Engineering Library & Information Science

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Sentiment Analysis on Twitter Social Media Application on Fuel Oil Price Hike Using Naïve Bayes and Decision Tree Algorithms Fadli, Muhammad; Agung Triayudi; Endah Tri Eshti Handayani
SaNa: Journal of Blockchain, NFTs and Metaverse Technology Vol. 2 No. 2 (2024): August 2024
Publisher : CV. Media Digital Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58905/sana.v2i2.271

Abstract

The increase in fuel prices has significant impacts on the Indonesian community's economic sector. Most people object to this policy because of its significant effects on daily life. Additionally, Indonesia's economy has not fully recovered from the Covid-19 pandemic, compounded by news of rising oil prices. With news of the increase in fuel prices, most people express sentiment regarding the rise in fuel prices on one of the social media platforms, Twitter. This study aims to differentiate the sentiment provided by the public, whether positive, negative, or neutral, using the Naïve Bayes Classifier and Decision Tree algorithms. The analysis results show that the Naïve Bayes Algorithm model, specifically Bernoulli Naïve Bayes, achieves the highest accuracy of 65.60%, with a precision of 68%, recall of 60.30%, and f1-score of 59.33%.
Co-Authors Agung Triayudi Muhammad Fadli