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All Journal Teknika PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic INTECOMS: Journal of Information Technology and Computer Science Jurnal Sains dan Teknologi Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) International Journal for Applied Information Management AJAD : Jurnal Pengabdian kepada Masyarakat International Journal Software Engineering and Computer Science (IJSECS) Malcom: Indonesian Journal of Machine Learning and Computer Science Jurnal Indonesia : Manajemen Informatika dan Komunikasi Journal Innovations Computer Science
Setiawan, Kiki
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Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Library & Information Science Mathematics Physics Social Sciences

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Journal : Journal Innovations Computer Science

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Implementation of Naïve Bayes for Public Sentiment Analysis on QRIS and GPN Digital Dominance through Instagram Nabilah, Laila; Setiawan, Kiki
Journal Innovations Computer Science Vol. 4 No. 2 (2025): November
Publisher : Yayasan Kawanad

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56347/jics.v4i2.337

Abstract

This study examines public sentiment toward the dominance of QRIS and GPN compared to Mastercard and Visa, using data collected from Instagram comments. Employing the Knowledge Discovery in Databases (KDD) methodology and the Naïve Bayes Classifier, the research analyzed 820 comments retrieved through automated scraping and processed using text mining techniques such as case folding, tokenization, stopword removal, stemming, and TF-IDF transformation. The model achieved an accuracy of 84.27%, a precision of 86.09%, a recall of 94.7%, and an F1-score of 90.21%, indicating strong reliability in identifying sentiment polarity. The analysis revealed that 76.5% of the comments expressed positive sentiment, highlighting users’ appreciation of QRIS and GPN for their convenience, speed, and accessibility across both micro and macro-scale transactions. Negative comments, representing 23.5%, centered on concerns about connectivity, data security, and trust in financial governance. These findings suggest that while QRIS and GPN have been widely embraced as efficient digital payment solutions, there remains a need for improved infrastructure, user education, and data protection. The study demonstrates the effectiveness of the Naïve Bayes algorithm for large-scale sentiment analysis in multilingual online environments and provides empirical insights for policymakers to strengthen Indonesia’s digital payment ecosystem.
Co-Authors Abdullah Aimar, Muqorrobin Akbar, Yuma Alafia, Evi Alifia, Tiara Ratu Amelia, Ika Amini, Tasya Aisyah Apriyanto, Kevin Jonathan Ardiyansyah, Ferry Aryanti, Putri Gea Aula, Raisah Fajri Azhar, Anisah Nurul Badzlin, Rosyiqoh Betty Yel, Mesra Eldina, Ratih Fadillah, M. Rafli Fricco, Arjun Ghazi, Ahmad Kastum Lailany, Afyra Ar’bah Marindah, Marindah Miswanto Miswanto Mufid, Ahmad Raihan Nabilah, Laila Nauvalsalam, Nauvalsalam Oktavian, Nur Pratama, Yuliya Putri Purwasih, Intan PUTRI WULANDARI Qibthiyah, Mariyatul Raharjo, Pratama Putra Rahmawati, Dwita Regita, Anggit Nur Hannaa Rodhiyah Rodhiyah Rosidi, Raihan Putra Mohammad Salam, Nauval Saputra, Rizqi Kurniawan Saputry, Yulia Yanti Ayu Sarikah, Dede Sarimole, Frencis Matheos Sibarani, Julvan Marzuki Putra Sodik Sri Lestari Surapati, Untung Sutisna Sutisna, Nandang Syaputra, Ilham Adi Tundo, Tundo Yrain, Beatrice Zakaria, Aditya Zidan, Muhammad Rohyan