Journal of System and Computer Engineering
Vol 6 No 2 (2025): JSCE: April 2025

Sentiment Analysis in Indonesian’s Presidential Election 2024 Using Transfomer (Distilbert-Base-Uncased)

Aljabar, Andi (Unknown)
Karomah, Binti Mamluatul (Unknown)
Tarisafitri, Nahla (Unknown)
Jeffry, Jeffry (Unknown)

Article Info

Publish Date
30 Apr 2025

Abstract

Utilizing a transformer-based natural language processing model called DistilBERT-base-uncased, this study investigates the use of sentiment analysis in relation to Indonesia's 2024 presidential election. Particularly during political events, sentiment analysis is a potent tool for gaining insight into public opinion. The program divides public posts' sentiment into positive and negative categories by examining social media data (twitter). In order to assure consistency and correctness, the dataset used in the research has been carefully selected. DistilBERT is then used to train the model. The result shows from 19920 row of data only 4.47% of Indonesia’s citizen left positive comment.

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Journal Info
Journal of System and Computer Engineering
Website

Abbrev

JSCE

Publisher

Universitas Pancasakti Makassar

Subject

Computer Science & IT Decision Sciences, Operations Research & Management

Description

Programming Languages Algorithms and Theory Computer Architecture and Systems Artificial Intelligence Computer Vision Machine Learning Systems Analysis Data Communications Cloud Computing Object Oriented Systems Analysis and Design Computer and Network Security Data ...