(SMATIKA - S4) - Abdillah, Hasan [2023-07-11]

Hasan, Firman Noor (2023) (SMATIKA - S4) - Abdillah, Hasan [2023-07-11]. SMATIKA: STIKI Informatika Jurnal, 13 (1). pp. 117-130. ISSN 2580-6939

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Abstract

This research is to analyze the sentiments of the Indonesian people about the presidential candidates who are likely to advance in the 2024 presidential election from tweets on the Twitter application. Tweets on Twitter are written, typed and published by Indonesian netizens about the candidates who are likely to advance in the 2024 presidential election. In this study, researchers used tools, namely RapidMiner Studio to collect tweet data from Indonesian netizens about the candidates. Furthermore, the researcher uses the Naïve Bayes Classifier algorithm to determine whether a statement or sentiment has a positive or negative value which is carried out using Rapid Miner tools as well. Of the four candidates that the researchers examined, Anies got 74% positive sentiment 26% negative sentiment, then followed by Sandi, namely 57% positive sentiment 43% negative sentiment, Ganjar received 53% positive sentiment 47% negative sentiment and Prabowo received 32% positive sentiment. 68% negative sentiment. The conclusion of this research is to find out which candidates are liked or favored by the Indonesian people from the results of sentiment analysis using the Naïve Bayes algorithm and the tools used, namely Rapid Miner.

Item Type:	Article
Subjects:	T Technology > T Technology (General)
Divisions:	Fakultas Teknik > Teknik Informatika
Depositing User:	Mr Firman Noor Hasan
Date Deposited:	15 Aug 2023 01:17
Last Modified:	15 Aug 2023 01:17
URI:	http://repository.uhamka.ac.id/id/eprint/28226

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