Analisis Sentimen pada Ulasan Aplikasi JakLingko Menggunakan Metode Naïve Bayes

Ricardus Mba Dala Pati ; Eka Kusuma Pratama ; Tuslaela Tuslaela
Repeater : Publikasi Teknik Informatika dan Jaring... 📅 2025 Vol 3, No 4 🔗 DOI: 10.62951/repeater.v3i4.638
Abstract
JakLingko is a digital-based public transportation integration system developed to facilitate access to various transportation modes in Jakarta. Along with the increasing number of users, reviews on the JakLingko application reflect user experiences and perceptions. This study aims to analyze the sentiment of user reviews on the Google Play Store using the Naïve Bayes method. Data collection was conducted through web scraping, resulting in 3,260 reviews. The data were preprocessed, sentiment-labeled, and classified using Orange Data Mining. The research applied a quantitative experimental approach with a machine learning framework. The classification results showed that neutral sentiment dominated user reviews, followed by negative and positive sentiments. The Naïve Bayes model achieved 100% accuracy based on the confusion matrix and other evaluation metrics such as precision, recall, and F1-score. The findings highlight that Naïve Bayes can be a reliable approach for analyzing public opinion and serve as a reference for evaluating and improving digital service applications.
Keywords
JakLingko; Naïve Bayes; Orange; Sentiment Analysis; User Reviews
How to Cite

Ricardus Mba Dala Pati, et al. (2025). Analisis Sentimen pada Ulasan Aplikasi JakLingko Menggunakan Metode Naïve Bayes. Repeater : Publikasi Teknik Informatika dan Jaringan, 3(4). https://doi.org/10.62951/repeater.v3i4.638

Ricardus Mba Dala Pati; Eka Kusuma Pratama; Tuslaela Tuslaela, "Analisis Sentimen pada Ulasan Aplikasi JakLingko Menggunakan Metode Naïve Bayes," Repeater : Publikasi Teknik Informatika dan Jaringan, vol. 3, no. 4, 2025.

Ricardus Mba Dala Pati; Eka Kusuma Pratama; Tuslaela Tuslaela. "Analisis Sentimen pada Ulasan Aplikasi JakLingko Menggunakan Metode Naïve Bayes." Repeater : Publikasi Teknik Informatika dan Jaringan, vol. 3, no. 4, 2025.

Ricardus Mba Dala Pati; Eka Kusuma Pratama; Tuslaela Tuslaela. "Analisis Sentimen pada Ulasan Aplikasi JakLingko Menggunakan Metode Naïve Bayes." Repeater : Publikasi Teknik Informatika dan Jaringan 3, no. 4 (2025).

Ricardus Mba Dala Pati, et al. (2025) 'Analisis Sentimen pada Ulasan Aplikasi JakLingko Menggunakan Metode Naïve Bayes', Repeater : Publikasi Teknik Informatika dan Jaringan, 3(4). doi: 10.62951/repeater.v3i4.638.

Ricardus Mba Dala Pati; Eka Kusuma Pratama; Tuslaela Tuslaela. Analisis Sentimen pada Ulasan Aplikasi JakLingko Menggunakan Metode Naïve Bayes. Repeater : Publikasi Teknik Informatika dan Jaringan. 2025;3(4).

Artikel Terkait

Implementation of RT/RW Net WiFi Network as a Solution to Internet Needs in Motu Village, Pasangkayu Regency, West Sulawesi

Muhqisar, Iqvhan; Sanatang Sanatang; Parenreng, Jumadi M.

Systematic Literature Review Sistem Pemilah Sampah Otomatis Berbasis Sensor Proximity dengan Notifikasi Kapasitas Penuh

Anjelina Mentari Rustandi; Fathoni Mahardika; Dani Indra Junaedi

Sistem Informasi Aplikasi Pelayanan Pengaduan Masyarakat Dikantor Pertanahan Kabupaten Sumba Barat Daya

Markus Kamuri; Stefanus D.I. Mau; Maria Wilda Malo

Penerapan Deep Learning untuk Pengenalan Aktivitas Manusia Secara Non-Intrusif Menggunakan Wi-Fi Channel State Information

Reza Pahlevi; Ervin Yohannes

Analisis Konsep Logika Fuzzy sebagai Pendukung Penilaian Prestasi Akademik Mahasiswa Universitas Asahan

Muhammad Agil Zuhairi; Syahrul Syahrul; Khairul Shaleh

Penentuan Penerima Beasiswa Menggunakan Metode Fuzzy Tsukamoto

Sri Bintan; Adhistya Aulia Dh; Khairul Shaleh
Tren Sitasi Jurnal