Muntaza, Wildan Rayyana (2026) ANALISIS SENTIMEN KOMENTAR YOUTUBE TENTANG KEBIJAKAN MENKEU PURBAYA YUDHI SADEWA MENGGUNAKAN ALGORITMA SVM. Undergraduate thesis, Universitas Nusantara PGRI Kediri.
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Abstract
YouTube merupakan salah satu media sosial yang banyak digunakan masyarakat untuk menyampaikan opini terhadap isu publik, termasuk kebijakan pemerintah. Banyaknya komentar yang dihasilkan menyebabkan proses analisis opini secara manual menjadi kurang efektif. Penelitian ini bertujuan untuk menganalisis sentimen komentar YouTube mengenai kebijakan Menteri Keuangan Purbaya Yudhi Sadewa menggunakan algoritma Support Vector Machine (SVM). Data penelitian diperoleh melalui proses scraping komentar dari beberapa kanal berita YouTube. Tahapan penelitian meliputi preprocessing data, pembobotan fitur menggunakan Term Frequency-Inverse Document Frequency (TF-IDF), klasifikasi menggunakan SVM, serta evaluasi menggunakan Confusion Matrix. Hasil pengujian menunjukkan bahwa model memperoleh akurasi sebesar 69,33%. Distribusi sentimen yang dihasilkan terdiri dari 56,3% sentimen positif, 31,1% sentimen negatif, dan 12,5% sentimen netral. Hasil penelitian menunjukkan bahwa mayoritas masyarakat memberikan tanggapan positif terhadap kebijakan Menteri Keuangan Purbaya Yudhi Sadewa dan algoritma SVM mampu digunakan untuk mengklasifikasikan sentimen komentar YouTube secara cukup baik.
| Item Type: | Thesis (Undergraduate) |
|---|---|
| Uncontrolled Keywords: | Analisis Sentimen, Menteri Keuangan, SVM, TF-IDF, YouTube. |
| Subjects: | 410 Engineering science > 457 Computer engineering 410 Engineering science > 463 Software engineering 410 Engineering science > 473 Mining engineering (mining engineering) 710 Education science > 786 Informatics engineering |
| Divisions: | Fakultas Teknik dan Ilmu Komputer > S1-Teknik Informatika |
| Depositing User: | Wildan Rayyana Muntaza |
| Last Modified: | 06 Aug 2026 12:14 |
| URI: | http://repository.unpkediri.ac.id/id/eprint/27578 |
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