Twitter Sentiment Analysis Towards Candidates of the 2024 Indonesian Presidential Election
Long before the elections were held, the topic related to elections was widely discussed on news portals and social media, including Twitter. A few studies related to the Indonesian election have tried to predict candidates who will run for the presidential election, but there has been no research t...
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| Format: | Article |
| Language: | English |
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Ikatan Ahli Informatika Indonesia
2024-08-01
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| Series: | Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) |
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| Online Access: | https://jurnal.iaii.or.id/index.php/RESTI/article/view/5839 |
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| author | Rhoma Cahyanti Desiana Nurul Maftuhah Aris Budi Santoso Indra Budi |
| author_facet | Rhoma Cahyanti Desiana Nurul Maftuhah Aris Budi Santoso Indra Budi |
| author_sort | Rhoma Cahyanti |
| collection | DOAJ |
| description | Long before the elections were held, the topic related to elections was widely discussed on news portals and social media, including Twitter. A few studies related to the Indonesian election have tried to predict candidates who will run for the presidential election, but there has been no research that examines public sentiment on social media towards each of the potential candidates. The main objective of this study is to analyze the public sentiment in Twitter towards potential candidates for the 2024 Indonesian presidential election. This research seeks to fill the gaps in previous research and become a reference for further research regarding sentiment analysis for election prediction using Twitter. The presidential candidates used in the research are the top 3 candidates based on the Poltracking survey, namely Ganjar Pranowo, Prabowo Subianto, and Anies Baswedan. The data were taken from January until October 2022, more than a year before the general election began. To predict the sentiment, four different machine-learning methods were used and compared to each other. There are Naïve Bayes, Support Vector Machines, Random Forests, and Neural Networks. Based on the sentiment results of each candidate, the highest sentiment towards Prabowo is neutral (55.49%), the highest sentiment towards Ganjar is positive (61.34%), and the highest sentiment towards Anies is neutral (44.84%). Results from the study also show that Anies was the presidential candidate who received more negative sentiment than the other two (56.63%). Meanwhile, Ganjar Pranowo got the most positive sentiment of all (42,69%). For the neutral sentiment, Anies Baswedan also got the most results (39,87%), followed by Prabowo (38.99%) and Ganjar Pranowo (21.14%). The result of the study also discovered that random forest and neural networks have the best performance for sentiment analysis. |
| format | Article |
| id | doaj-art-a3191a5223a0449b8ae4d06c14b7409b |
| institution | Kabale University |
| issn | 2580-0760 |
| language | English |
| publishDate | 2024-08-01 |
| publisher | Ikatan Ahli Informatika Indonesia |
| record_format | Article |
| series | Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) |
| spelling | doaj-art-a3191a5223a0449b8ae4d06c14b7409b2025-01-13T03:33:02ZengIkatan Ahli Informatika IndonesiaJurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)2580-07602024-08-018451652410.29207/resti.v8i4.58395839Twitter Sentiment Analysis Towards Candidates of the 2024 Indonesian Presidential ElectionRhoma Cahyanti0Desiana Nurul Maftuhah1Aris Budi Santoso2Indra Budi3Universitas IndonesiaUniversitas IndonesiaUniversitas IndonesiaUniversitas IndonesiaLong before the elections were held, the topic related to elections was widely discussed on news portals and social media, including Twitter. A few studies related to the Indonesian election have tried to predict candidates who will run for the presidential election, but there has been no research that examines public sentiment on social media towards each of the potential candidates. The main objective of this study is to analyze the public sentiment in Twitter towards potential candidates for the 2024 Indonesian presidential election. This research seeks to fill the gaps in previous research and become a reference for further research regarding sentiment analysis for election prediction using Twitter. The presidential candidates used in the research are the top 3 candidates based on the Poltracking survey, namely Ganjar Pranowo, Prabowo Subianto, and Anies Baswedan. The data were taken from January until October 2022, more than a year before the general election began. To predict the sentiment, four different machine-learning methods were used and compared to each other. There are Naïve Bayes, Support Vector Machines, Random Forests, and Neural Networks. Based on the sentiment results of each candidate, the highest sentiment towards Prabowo is neutral (55.49%), the highest sentiment towards Ganjar is positive (61.34%), and the highest sentiment towards Anies is neutral (44.84%). Results from the study also show that Anies was the presidential candidate who received more negative sentiment than the other two (56.63%). Meanwhile, Ganjar Pranowo got the most positive sentiment of all (42,69%). For the neutral sentiment, Anies Baswedan also got the most results (39,87%), followed by Prabowo (38.99%) and Ganjar Pranowo (21.14%). The result of the study also discovered that random forest and neural networks have the best performance for sentiment analysis.https://jurnal.iaii.or.id/index.php/RESTI/article/view/5839twittersentiment analysispresidential election |
| spellingShingle | Rhoma Cahyanti Desiana Nurul Maftuhah Aris Budi Santoso Indra Budi Twitter Sentiment Analysis Towards Candidates of the 2024 Indonesian Presidential Election Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) sentiment analysis presidential election |
| title | Twitter Sentiment Analysis Towards Candidates of the 2024 Indonesian Presidential Election |
| title_full | Twitter Sentiment Analysis Towards Candidates of the 2024 Indonesian Presidential Election |
| title_fullStr | Twitter Sentiment Analysis Towards Candidates of the 2024 Indonesian Presidential Election |
| title_full_unstemmed | Twitter Sentiment Analysis Towards Candidates of the 2024 Indonesian Presidential Election |
| title_short | Twitter Sentiment Analysis Towards Candidates of the 2024 Indonesian Presidential Election |
| title_sort | twitter sentiment analysis towards candidates of the 2024 indonesian presidential election |
| topic | twitter sentiment analysis presidential election |
| url | https://jurnal.iaii.or.id/index.php/RESTI/article/view/5839 |
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