Article Per Year (5 Year)
p-Index From 2019 - 2024
0.23
P-Index
This Author published in this journals
All Journal Sistemasi: Jurnal Sistem Informasi
Nanang Wijaya Kusuma
Universitas Bakrie
Computer Science & IT Electrical & Electronics Engineering

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Sentiment Analysis of Jokowi’s Candidate Discourse in Three Periods using the Naïve Bayes Method Dita Nurmadewi; Mia Amaliah; Hajar Hanifah; Ulfa Bunayya Purwanti; Maruti Sekar Arum; Nanang Wijaya Kusuma; Sri Yuniati
Sistemasi: Jurnal Sistem Informasi Vol 12, No 1 (2023): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v12i1.2413

Abstract

Approaching the 2024 presidential election many discourses develop among the public regarding the presidential election period which takes place every five years. One of the most widely discussed political discourses is the candidacy of President Jokowi for the third term of his leadership. This study aims to carry out a sentiment analysis of the public on the discourse. The sample data for sentiment analysis is taken from Twitter social media in the form of tweet status. The stages carried out by the researchers began with determining the research method through text mining and sentiment analysis using the Naive Bayes algorithm. The results of the research conducted revealed that there are still many positive sentiments compared to negative sentiments related to the discourse of Jokowi's candidacy in the three periods. Keywords: Sentiment Analysis, Naive Bayes, Twitter, Jokowi.
Co-Authors Dita Nurmadewi Hajar Hanifah Maruti Sekar Arum Mia Amaliah Sri Yuniati Ulfa Bunayya Purwanti