Setiadi, Hawa Triayu (2025) ANALISIS SENTIMEN PUBLIK TIMNAS U-19 DI PIALA AFF 2024 MENGGUNAKAN ALGORITMA NAIVE BAYES DAN SUPPORT VECTOR MACHINE (SVM). S1 thesis, Universitas Mercu Buana Jakarta - Menteng.
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Abstract
Piala AFF 2024 menjadi ajang perhatian publik, dalam menilai kinerja Tim Nasional Indonesia khususnya U-19 yang banyak dibahas di media sosial. Penelitian ini menganalisis sentimen publik terhadap performa tim melalui data dari platform Twitter, menggunakan algoritma Naive Bayes dan Support Vector Machine (SVM). Tujuan penelitian ini adalah membandingkan efektivitas kedua algoritma dalam klasifikasi sentimen positif, negatif, dan netral, serta memahami pengaruh sentimen terhadap persepsi publik. Hasilnya menunjukkan tren sentimen publik dan keunggulan masing-masing algoritma. Penelitian ini diharapkan dapat memperjelas bagaimana opini publik terbentuk dan tersebar di media sosial terkait performa tim nasional. The 2024 AFF Championship has drawn public attention in evaluating the performance of the Indonesian National Team, particularly the U-19 squad, which has been widely discussed on social media. This study analyzes public sentiment regarding the team’s performance using data from the Twitter platform, applying the Naive Bayes and Support Vector Machine (SVM) algorithms. The objective of this research is to compare the effectiveness of both algorithms in classifying sentiments into positive, negative, and neutral categories, as well as to understand the influence of sentiment on public perception. The results reveal public sentiment trends and the strengths of each algorithm. This study is expected to clarify how public opinion is formed and disseminated on social media regarding the national team’s performance.
| Item Type: | Thesis (S1) |
|---|---|
| NIM/NIDN Creators: | 41521010093 |
| Uncontrolled Keywords: | Piala AFF 2024, Tim Nasional Indonesia U-19, Analisis Sentimen, Media Sosial, Twitter, Naive Bayes, Support Vector Machine (SVM), Persepsi Publik. AFF Cup 2024, Indonesian National Team U-19, Sentiment Analysis, Social Media, Twitter, Naive Bayes, Support Vector Machine (SVM), Public Perception. |
| Subjects: | 000 Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 000. Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum |
| Divisions: | Fakultas Ilmu Komputer > Informatika |
| Depositing User: | ZAIRA ELVISIA |
| Date Deposited: | 06 Oct 2025 03:16 |
| Last Modified: | 06 Oct 2025 07:05 |
| URI: | http://repository.mercubuana.ac.id/id/eprint/98799 |
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