Analisis Sentimen Tren 'Kabur Aja Dulu' pada Sosial Media X sebagai Dasar Perancangan Sistem Pemantauan Sentimen Publik Menggunakan Naive Bayes dan SVM

Sutisna Sutisna ; Tri Wahyudi ; Dwi Swasono Rachmad ; Fachrur Rozi
International Journal of Information Engineering a... 📅 2026 Vol 2, No 3 🔗 DOI: 10.62951/ijies.v2i3.79
Abstract
Social media X (Twitter) has become the main platform for the Indonesian public to express opinions, including on the trend of 'kabur aja dulu' (let's just run away for a bit). This research aims to classify the sentiments of the public using the Naïve Bayes and Support Vector Machine (SVM) methods, and to compare the accuracy of both in sentiment analysis. Data was collected via the Twitter API with the hashtag #kaburajadulu, resulting in 2,067 tweets, which, after the cleansing process and manual labeling, left 385 data points. The analysis process followed the CRISP-DM stages, which include business understanding, data understanding, data preparation, modeling, evaluation, and deployment. Model evaluation was conducted using a confusion matrix with accuracy, precision, and recall metrics. The classification results show that 82% of tweets have a positive sentiment and 18% negative. The Naïve Bayes algorithm achieved an accuracy of 86.49%, slightly lower than SVM, which reached 88.05%. In conclusion, Support Vector Machine is more effective in sentiment classification on public opinion data. This research contributes to the digital mapping of public opinion and recommends the development of automatic labeling methods as well as the exploration of advanced algorithms in the future.
Keywords
Sentiment Analysis Kabur Aja Dulu Social Media X Naive Bayes SVM Public Opinion Monitoring.
How to Cite

Sutisna Sutisna, et al. (2026). Analisis Sentimen Tren 'Kabur Aja Dulu' pada Sosial Media X sebagai Dasar Perancangan Sistem Pemantauan Sentimen Publik Menggunakan Naive Bayes dan SVM. International Journal of Information Engineering and Science, 2(3). https://doi.org/10.62951/ijies.v2i3.79

Sutisna Sutisna; Tri Wahyudi; Dwi Swasono Rachmad; Fachrur Rozi, "Analisis Sentimen Tren 'Kabur Aja Dulu' pada Sosial Media X sebagai Dasar Perancangan Sistem Pemantauan Sentimen Publik Menggunakan Naive Bayes dan SVM," International Journal of Information Engineering and Science, vol. 2, no. 3, 2026.

Sutisna Sutisna; Tri Wahyudi; Dwi Swasono Rachmad; Fachrur Rozi. "Analisis Sentimen Tren 'Kabur Aja Dulu' pada Sosial Media X sebagai Dasar Perancangan Sistem Pemantauan Sentimen Publik Menggunakan Naive Bayes dan SVM." International Journal of Information Engineering and Science, vol. 2, no. 3, 2026.

Sutisna Sutisna; Tri Wahyudi; Dwi Swasono Rachmad; Fachrur Rozi. "Analisis Sentimen Tren 'Kabur Aja Dulu' pada Sosial Media X sebagai Dasar Perancangan Sistem Pemantauan Sentimen Publik Menggunakan Naive Bayes dan SVM." International Journal of Information Engineering and Science 2, no. 3 (2026).

Sutisna Sutisna, et al. (2026) 'Analisis Sentimen Tren 'Kabur Aja Dulu' pada Sosial Media X sebagai Dasar Perancangan Sistem Pemantauan Sentimen Publik Menggunakan Naive Bayes dan SVM', International Journal of Information Engineering and Science, 2(3). doi: 10.62951/ijies.v2i3.79.

Sutisna Sutisna; Tri Wahyudi; Dwi Swasono Rachmad; Fachrur Rozi. Analisis Sentimen Tren 'Kabur Aja Dulu' pada Sosial Media X sebagai Dasar Perancangan Sistem Pemantauan Sentimen Publik Menggunakan Naive Bayes dan SVM. International Journal of Information Engineering and Science. 2026;2(3).

Artikel Terkait

Implementasi model Naive Bayes multikategori untuk analisis sentimen produk Wardah di E-commerce Shoppe

Mesra Betty Yel; Sopan Adrianto; Rasiban Rasiban; Eva Widiyanti

Analisis Tingkat Kepuasan Pengguna QRIS Berdasarkan Pengalaman Dan Persepsi Pengguna twitter/ X Menggunakan Naive Baiyes

Veri Arinal; Satria Wira Yudha; Muhammad Joko Umbaran Kharis Bahrudin; Dessyanti Ryantina

Perancangan Sistem Informasi Manajemen Konten Instagram Berbasis Web untuk Mendukung Brand Awareness Produk SR12 Herbal Kosmetik

Untung Surapati; Agus Tanti Rahayu; Tatinia Arda Rizqi Amalia; Lusi Noviani

Analisis Sentimen Terhadap Kinerja Hukum Di Indonesia Berdasarkan Tanggapan Komentar Twitter Menggunakan Algoritma Naive Bayes

Rasiban Rasiban; Dadang Iskandar Mulyana; Muhammad Joko Umbaran Kharis Bahrudin; Nicola Marthy

Penerapan Algoritma YOLO Dalam Deteksi Tindakan Bullying Pada Pesantren Bisnis SMK Skill Village Islamic School

Sutisna Sutisna; Rizki Ananda Pratama; Nandang Sutisna; Jundi Kariman Husni

Humanist Librarians in the AI Era : Maintaining Human Values in Information Services

Azwar Azwar
Tren Sitasi Jurnal