Sistemasi: Jurnal Sistem Informasi
Vol 12, No 1 (2023): Sistemasi: Jurnal Sistem Informasi

Sentiment Analysis of Jokowi’s Candidate Discourse in Three Periods using the Naïve Bayes Method

Dita Nurmadewi (Universitas Bakrie)
Mia Amaliah (Universitas Bakrie)
Hajar Hanifah (Universitas Bakrie)
Ulfa Bunayya Purwanti (Universitas Bakrie)
Maruti Sekar Arum (Universitas Bakrie)
Nanang Wijaya Kusuma (Universitas Bakrie)
Sri Yuniati (Unknown)



Article Info

Publish Date
31 Jan 2023

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.

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Journal Info

Abbrev

stmsi

Publisher

Subject

Computer Science & IT Electrical & Electronics Engineering

Description

Sistemasi adalah nama terbitan jurnal ilmiah dalam bidang ilmu sains komputer program studi Sistem Informasi Universitas Islam Indragiri, Tembilahan Riau. Jurnal Sistemasi Terbit 3x setahun yaitu bulan Januari, Mei dan September,Focus dan Scope Umum dari Sistemasi yaitu Bidang Sistem Informasi, ...