Farhan Yusuf, . (2024) PERBANDINGAN METODE ALGORITMA NAÏVE BAYES DAN DECISION TREE PADA ANALISIS SENTIMEN MASYARAKAT TERHADAP CALON PRESIDEN INDONESIA TAHUN 2024. Skripsi thesis, Universitas Pembangunan Nasional Veteran Jakarta.
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Abstract
The 2024 Indonesian presidential election has generated significant public interest and discussion on social media platforms like X. This research aims to analyze public sentiment towards the presidential candidates using Naïve Bayes and Decision Tree algorithms. Data were gathered from X during three periods: candidate registration in October 2023, pre-election in February 2024, and post-election in mid-February 2024. Data preprocessing involved case folding, data cleaning, text normalization, stemming, stop-word removal, and tokenization. This study classifies sentiments into positive and negative categories and evaluates the algorithms' performance based on accuracy, precision, recall, and F1-score metrics. Results indicate that both algorithms effectively classify sentiments, with F1-scores for Naïve Bayes: Anies Baswedan at 79%, Prabowo Subianto at 81%, and Ganjar Pranowo at 89%, while Decision Tree achieved: Anies Baswedan at 80%, Prabowo Subianto at 76%, and Ganjar Pranowo at 87%. Each algorithm has its strengths and weaknesses in capturing diverse voter sentiments. This research contributes to understanding the dynamics of public opinion in Indonesia's presidential election and provides insights for future sentiment analysis studies, particularly in political campaign strategies and real-time election monitoring.
| Item Type: | Thesis (Skripsi) |
|---|---|
| Additional Information: | [No.Panggil: 2010512082] [Pembimbing 1: Nurhafifah Matondang] [Pembimbing 2: Intan Hesti Indriana] [Penguji 1: Ati Zaidiah] [Penguji 2: Zatin Niqotaini] |
| Uncontrolled Keywords: | Sentiment Analysis, Naïve Bayes, Decision Tree, Indonesia Presidential Election 2024, X |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software |
| Divisions: | Fakultas Ilmu Komputer > Program Studi Sistem Informasi (S1) |
| Depositing User: | FARHAN YUSUF |
| Date Deposited: | 29 Jul 2024 13:27 |
| Last Modified: | 29 Jul 2024 13:28 |
| URI: | http://repository.upnvj.ac.id/id/eprint/31646 |
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