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All Journal YUME : Journal of Management JPEK (Jurnal Pendidikan Ekonomi dan Kewirausahaan) International Journal of Economics Development Research (IJEDR) Jurnal Ilmiah Manajemen Kesatuan Psikoborneo : Jurnal Ilmiah Psikologi Djtechno: Jurnal Teknologi Informasi Anglophile Journal Skyhawk: Jurnal Aviasi Indonesia Algoritme Jurnal Mahasiswa Teknik Informatika Technologica Jurnal Bangun Manajemen Journal of Applied Business and Technology Eduvest - Journal of Universal Studies Jurnal Manajemen Sistem Informasi Reflection: Education and Pedagogical Insights PROCEEDING OF INTERNATIONAL CONFERENCE ON BUSINESS MANAGEMENT AND ACCOUNTING Luxury: Landscape of Business Administration Interconnection: An Economic Perspective Horizon Nexus Synergy: A Business Perspective Neraca: Jurnal Ekonomi, Manajemen dan Akuntansi Journal of International Multidisciplinary Research JER (Jurnal Ekonomi Regional)
Cecilia, Cecilia
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Aerospace Engineering Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Health Professions Languange, Linguistic, Communication & Media Neuroscience Social Sciences Other

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Journal : Algoritme Jurnal Mahasiswa Teknik Informatika

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Klasifikasi Emosi Publik di Instagram Terhadap Uji Coba Jalan Satu Arah di Palembang dengan Naive Bayes Ariantoro, Tri Rizqi; Setiadi, Arif; Cecilia, Cecilia; Fadhliazi, Fadhliazi; Sri Handini, Nurul
Algoritme Jurnal Mahasiswa Teknik Informatika Vol 5 No 3 (2025): Oktober 2025 || Algoritme Jurnal Mahasiswa Teknik Informatika
Publisher : Program Studi Teknik Informatika Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/algoritme.v5i3.11498

Abstract

Traffic congestion in Palembang City remains a major issue despite various traffic engineering policies, including the implementation of a one-way system trial. This study aims to classify public emotions toward the policy based on comments from Instagram users. The research method includes data collection through web scraping, translation of local dialects into Indonesian using Generative AI, manual emotion labeling, text preprocessing, feature extraction using Term Frequency-Inverse Document Frequency (TF-IDF), and classification with the Multinomial Naive Bayes algorithm optimized by hyperparameter tuning. The evaluation results show an accuracy of 69.66%, precision of 63.09%, recall of 69.66%, and F1-score of 62.86%. The “anticipation” emotion emerged as the most dominant class, while “love” and “annoyance” were underrepresented. These findings indicate that the Naive Bayes-based text mining approach is effective for analyzing public emotional responses to government policies.
Co-Authors Achmad Tavip Junaedi Aminuyati Amries Rusli Tanjung Andi Andi Angga Kusuma, Aditya Ardiyanto, Fahrian Tri Ariantoro, Tri Rizqi Augustine, Yvonne Awang Setiawan Wicaksono Buntu, Nasar Cahyo, Dimas Hari Chandra, Delvani Kathy Charlie Charlie, Charlie Christabel, Verenia Novelia Citradi, Hanson Conny, Conny Dalil, M Dalil, M. David David Dodi Sofyan Arief, Dodi Sofyan Ellim, Irvan Erick, Erick Fadhliazi, Fadhliazi Gusrio Tendra Handini, Nurul Sri Hansel, Theodorus Jonathan Harefa , Faonaso Harry Patuan Panjaitan Hendrian Hendrian, Hendrian Hutahuruk, Marice Br Indra, Febryola Indri Yovita Islam, Fajar Isti Fadah Jahrizal Jesslyn Verena Rubetta Putih Koto, Jaswar Kyoko, Kyoko Marlim, Yulvia Nora Michelle, Michelle Musa, Sulaiman Mutmainnah Mutmainnah Nicholas Renaldo Putri, Novita Yulia Rahman, Sarli Ratih Puspitasari Rika Juliana Rizaldi Putra Sahala, Bintang Sarjono Sarjono, Sarjono Setiadi, Arif Sevendy, Tandy Silalahi, Ronald Maraden Parlindungan Sri Handini, Nurul Stanford, Dave Suhardjo Surya Safari SD Suyono Suyono Syaputra, Abe Wisnu Syariuddin, Akhmad Sylvia, Sylvia Trikanie, Selly Vania, Chaterine Veronica, Kristy Wahid, Nabila Wati, Yenny Wibowo, Sugeng Wilda Susanti Yandi Anzari Zai, Immanuel