Analisis Komentar Youtube Terhadap Polemik Ijazah Presiden Ke 7 Indonesia Menggunakan Support Vector Machine
DOI:
https://doi.org/10.47065/bulletincsr.v6i1.883Keywords:
Sentiment Analysis; Joko Widodo; SVM; TF-IDF; YouTube CommentsAbstract
This study aims to analyze public sentiment toward the controversy surrounding President Joko Widodo’s academic credentials by examining user comments on YouTube. A total of 20,294 comments were collected and processed through text cleaning, normalization, tokenization, stopword removal, and stemming. Sentiment labels were assigned using a lexicon-based approach, producing positive, negative, and neutral categories. The experimental results indicate that the combination of SVM, TF-IDF, and SMOTE achieved strong classification performance, with an accuracy of 86.87%. The model demonstrated better performance in identifying negative and neutral sentiments, while some positive sentiments tended to be misclassified as neutral. Overall, this study shows that sentiment analysis based on YouTube comments can serve as an effective approach for mapping public opinion on socio-political issues in an automated and large-scale manner. Feature extraction utilized Term Frequency–Inverse Document Frequency (TF-IDF), and sentiment classification was performed using a Support Vector Machine (SVM). The model achieved an accuracy of 86.87% and a macro F1-score of 0.87, indicating that the integration of TF-IDF, SMOTE, and SVM is effective for large-scale sentiment classification of YouTube comments related to socio-political issues.
Downloads
References
R. Firdaus, R. Al Hariri, and H. F. Amran, “Sentimen Analisis Masyarakat Tentang Penetapan Hari Raya Idul Adha Tahun 2023 Pada Video Youtube Menggunakan Algoritma Random Forest dan Support Vector Machine,” J. Fasilkom, vol. 14, no. 1, pp. 278–285, 2024, doi: 10.37859/jf.v14i1.7012.
R. T. Adek, Z. Fitri, and S. Chairani Siegar, “Analisis Sentimen Komentar Pada Saluran Youtube Beauty Vlogger Berbahasa Indonesia Menggunakan Metode Support Vector Machine,” J. Algoritm., vol. 5, no. 2, pp. 164–175, 2025, doi: 10.35957/algoritme.v5i2.9692.
Y. I. Muasaroh, Z. Fatah, and A. Baijuri, “Analisis Sentimen Komentar Youtube Terhadap Isu Ijazah Presiden Jokowi menggunakan Support Vector Machine dan Random Forest,” Pros. Semnas 2025 Sekol. Tinggi Teknol. Dumai, vol. 1, no. 2, pp. 2581–267, 2025.
M. I. Sultan and M. Akbar, “Analisis Sentimen Pemecatan Jokowi Pada Komentar Publik YouTube Tempo.co,” vol. 07, no. 02, pp. 125–140, 2025.
D. Marganingsih, H. Oktavianto, and G. Abdurrahman, “Analisis Sentimen Komentar Youtube Masterchef Indonesia Menggunakan Algoritma Support Vector Machine dan Gaussian Naïve Bayes,” J. Inform. dan Teknol. Pendidik., vol. 5, no. 1, pp. 16–26, 2025, doi: 10.59395/jitp.v5i1.117.
F. Caroline, R. G. S. Budi, and M. E. Al Rivan, “Analisis Sentimen Masyarakat terhadap Kasus Korupsi PT. Timah Menggunakan Metode Support Vector Machine,” J. Ilmu Komput. dan Inform., vol. 4, no. 1, pp. 43–50, 2024, doi: 10.54082/jiki.141.
S. Pratama, Majduddin, and M. Triawan, “Klasifikasi Sentimen Komentar pada Video ‘Rendang Hilang di Palembang’ oleh Willy Salim Menggunakan Algoritma Support Vector Machine (SVM),” SISKOMTI J. Sist. Inf. Komput. dan Teknol. Inf., vol. 7, no. 1, pp. 47–55, 2025, doi: 10.54342/625mqn95.
A. A. Nurrahman, M. Mauladi, and A. Rahman, “Analisis Sentimen Masyarakat terhadap Kenaikan Harga Bahan Bakar Minyak Menggunakan Support Vector Machine dan SMOTE,” sudo J. Tek. Inform., vol. 4, no. 2, pp. 50–56, 2025, doi: 10.56211/sudo.v4i2.908.
H. Hidayat, F. Santoso, and L. F. Lidimillah, “Analisis Sentimen Pengguna YouTube Tentang Rohingya Menggunakan Algoritma SVM (Support Vector Machine),” G-Tech J. Teknol. Terap., vol. 8, no. 3, pp. 1729–1738, Jul. 2024, doi: 10.33379/gtech.v8i3.4497.
R. Asrianto and M. Herwinanda, “Analisis sentimen kenaikan harga kebutuhan pokok dimedia sosial youtube menggunakan algoritma support vector machine,” J. CoSciTech (Computer Sci. Inf. Technol., vol. 3, no. 3, pp. 431–440, Dec. 2022, doi: 10.37859/coscitech.v3i3.4368.
N. A. Wahyuni, D. P. Ayu, and H. Irsyad, “Analisis Sentimen di Youtube Terhadap Kenaikan UKT Menggunakan Metode Support Vector Machine,” Arcitech J. Comput. Sci. Artif. Intell., vol. 4, no. 1, p. 57, Jun. 2024, doi: 10.29240/arcitech.v4i1.10829.
T. Muhayat, A. Fauzi, and J. Indra, “Analisis Sentimen Terhadap Komentar Video Youtube Menggunakan Support Vector Machines,” Progresif J. Ilm. Komput., vol. 19, no. 1, p. 231, 2023, doi: 10.35889/progresif.v19i1.1060.
A. Wijayanto and A. D. Defara, “Analisis Sentimen Komentar Youtube Mengenai Vaksin Covid-19 Menggunakan Support Vector Machine.” [Online]. Available: http://pilar.unmermadiun.ac.id/index.php/pilarteknologi
A. N. Syafia, M. F. Hidayattullah, and W. Suteddy, “Studi Komparasi Algoritma SVM Dan Random Forest Pada Analisis Sentimen Komentar Youtube BTS,” vol. 8, no. 3, pp. 207–212, 2023.
A. M. Putra, Candra Saputra, Rahmaddeni, Safril Irsandi, and Vawana Muzaki, “Analisis Sentimen Masyarakat Terhadap Kasus Gas LPG 3 Kg Pada Youtube Kompas Menggunakan Metode Support Vector Machine,” Explore, vol. 15, no. 2, pp. 163–171, 2025, doi: 10.35200/ex.v15i2.159.
L. Rofiqi and M. Akbar, “Analisis Sentimen Terkait RUU Perampasan Aset dengan Support Vector Machine,” JEKIN - J. Tek. Inform., vol. 4, no. 3, pp. 529–538, 2024, doi: 10.58794/jekin.v4i3.824.
N. A. Laia and S. P. Barus, “Analisis Sentimen Pengguna Youtube Pada Video Berjudul ‘10 Tahun Jokowi Jadi Presiden,’” JIKA (Jurnal Inform., vol. 9, no. 2, p. 169, 2025, doi: 10.31000/jika.v9i2.13470.
S. A. S. Mola, P. R. Lete, B. J. A. J. A. Pa, Triyanto, and T. Widiastuti, “Analisis Sentimen Menggunakan Metode Naive Bayes Dan Metode Support Vector Machine Pada Kasus Pelantikan Artis Sebagai Anggota Anggota Dpr Ri Tahun 2024,” HOAQ (High Educ. Organ. Arch. Qual. J. Teknol. Inf., vol. 15, no. 1, pp. 22–32, 2024, doi: 10.52972/hoaq.vol15no1.p22-32.
K. E. V Sihombing, M. A. I. Pakereng, and U. Kristen, “Analisis Sentimen Komentar Youtube Terhadap Wawancara Presiden Prabowo Menggunakan Machine Learning Dan Orange Data Mining,” STORAGE: Jurnal Ilmiah Teknik dan Ilmu Komputer, vol. 4, no. 4, pp. 327–336, 2025. doi: 10.55123/storage.v4i4.6478
A. A. Syam, G. Hardy M, A. Salim, D. F. Surianto, and M. Fajar B, “Analisis Teknik Preprocessing Pada Sentimen Masyarakat Terkait Konflik Israel-Palestina Menggunakan Support Vector Machine,” JIPI (Jurnal Ilm. Penelit. dan Pembelajaran Inform., vol. 9, no. 3, pp. 1464–1472, 2024, doi: 10.29100/jipi.v9i3.5527.
Bila bermanfaat silahkan share artikel ini
Berikan Komentar Anda terhadap artikel Analisis Komentar Youtube Terhadap Polemik Ijazah Presiden Ke 7 Indonesia Menggunakan Support Vector Machine
ARTICLE HISTORY
How to Cite
Issue
Section
Copyright (c) 2025 Ignasius Aditya Anggoro Putra, Salmon, Kusnandar
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under Creative Commons Attribution 4.0 International License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (Refer to The Effect of Open Access).
