Analisis Sentimen Publik pada TikTok terhadap Rencana Penerapan Sistem Balik Nama Ponsel Bekas menggunakan Naive Bayes dan Support Vector Machine

Afif Lustyo Muji ; Aziz Musthofa ; Dihin Muriyatmoko
Prosiding Seminar Nasional Ilmu Teknik 📅 2026 Vol 2, No 2 🔗 DOI: 10.61132/prosemnasproit.v2i2.198
Abstract
Since the announcement of the policy plan for a name transfer system in the sale of used mobile phones, the issue has attracted widespread public attention and discussion. People have expressed their opinions on social media platforms, particularly TikTok. This study aims to classify the sentiment of TikTok users using Naive Bayes and Support Vector Machine (SVM) algorithms. The data were collected through a comment scraping technique on related content.The research stages include text preprocessing, sentiment labeling into positive, negative, and neutral categories, and feature extraction using TF-IDF. The classification process employs Naive Bayes and Support Vector Machine algorithms, which are then evaluated based on accuracy, precision, recall, and F1-score. The results of this study indicate that both methods are capable of classifying sentiment effectively. However, the Support Vector Machine method is superior to the Naive Bayes method with an accuracy rate of 99.57% compared to 94.30%. This study is expected to help the government understand public responses to the planned policy of the used mobile phone name transfer system.
Keywords
Sentiment; Naive Bayes; Support Vector Machine
How to Cite

Afif Lustyo Muji, et al. (2026). Analisis Sentimen Publik pada TikTok terhadap Rencana Penerapan Sistem Balik Nama Ponsel Bekas menggunakan Naive Bayes dan Support Vector Machine. Prosiding Seminar Nasional Ilmu Teknik, 2(2). https://doi.org/10.61132/prosemnasproit.v2i2.198

Afif Lustyo Muji; Aziz Musthofa; Dihin Muriyatmoko, "Analisis Sentimen Publik pada TikTok terhadap Rencana Penerapan Sistem Balik Nama Ponsel Bekas menggunakan Naive Bayes dan Support Vector Machine," Prosiding Seminar Nasional Ilmu Teknik, vol. 2, no. 2, 2026.

Afif Lustyo Muji; Aziz Musthofa; Dihin Muriyatmoko. "Analisis Sentimen Publik pada TikTok terhadap Rencana Penerapan Sistem Balik Nama Ponsel Bekas menggunakan Naive Bayes dan Support Vector Machine." Prosiding Seminar Nasional Ilmu Teknik, vol. 2, no. 2, 2026.

Afif Lustyo Muji; Aziz Musthofa; Dihin Muriyatmoko. "Analisis Sentimen Publik pada TikTok terhadap Rencana Penerapan Sistem Balik Nama Ponsel Bekas menggunakan Naive Bayes dan Support Vector Machine." Prosiding Seminar Nasional Ilmu Teknik 2, no. 2 (2026).

Afif Lustyo Muji, et al. (2026) 'Analisis Sentimen Publik pada TikTok terhadap Rencana Penerapan Sistem Balik Nama Ponsel Bekas menggunakan Naive Bayes dan Support Vector Machine', Prosiding Seminar Nasional Ilmu Teknik, 2(2). doi: 10.61132/prosemnasproit.v2i2.198.

Afif Lustyo Muji; Aziz Musthofa; Dihin Muriyatmoko. Analisis Sentimen Publik pada TikTok terhadap Rencana Penerapan Sistem Balik Nama Ponsel Bekas menggunakan Naive Bayes dan Support Vector Machine. Prosiding Seminar Nasional Ilmu Teknik. 2026;2(2).

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