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All Journal QALAMUNA: Jurnal Pendidikan, Sosial, dan Agama Pendas : Jurnah Ilmiah Pendidikan Dasar JOURNAL OF SCIENCE AND SOCIAL RESEARCH YUME : Journal of Management EDUKATIF : JURNAL ILMU PENDIDIKAN VISIO DEI: JURNAL TEOLOGI KRISTEN Jurnal Ilmiah Profesi Pendidikan Journal of Civil Engineering and Planning (JCEP) Indonesian Journal of Primary Science Education (IJPSE) Jurnal Development SWARNA Polinomial : Jurnal Pendidikan Matematika Jurnal Pendidikan Dasar Dharmawangsa: International Journal of the Social Sciences, Education and Humanitis Analisis Gender dan Agama Indonesian Journal of Advanced Research (IJAR) Journal of Computer Science and Research Jurnal Portal Sipil International Asia Of Law and Money Laundering (IAML) International Journal of Islamic Studies Higher Education Jurnal Al Kahfi : Jurnal Pendidikan Agama Islam Jurnal Kala Nea KAFFAH: Jurnal Pendidikan dan Sosio Keagamaan GEMBIRA (Pengabdian Kepada Masyarakat) Nomico Journal of Technology and Computer (JOTECHCOM) Jurnal Abdimas UM Jambi IPSSJ Jurnal TELUK: Teknik Lingkungan UM Kendari
Adi Putra
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Journal : journal of technology and computer jotechcom

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Comparative Machine Learning Analysis for Sentiment Classification of Sumatra Disaster 2025 Alfarizi, Nauval; Lydia, Prima; Novelan, Muhammad Syahputra; Putra, Adi; Sinurat, Satria
Journal of Technology and Computer Vol. 3 No. 1 (2026): February 2026 - Journal of Technology and Computer
Publisher : PT. Technology Laboratories Indonesia (TechnoLabs)

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Abstract

Indonesia is highly vulnerable to natural disasters due to its geological position, resulting in extensive disaster-related news coverage that shapes public sentiment. This study presents a comparative machine learning analysis for sentiment classification of online news related to natural disasters in Sumatra during December 2025. The dataset was collected through web scraping from two major Indonesian news portals, like CNN Indonesia and Detik, and categorized into three sentiment classes: negative, neutral, and positive. Sentiment classification was conducted using Naive Bayes, Support Vector Machine (SVM), and k-Nearest Neighbors (KNN) algorithms. The results demonstrate that Naive Bayes achieved accuracy values of 0.57 on the CNN Indonesia dataset and 0.61 on the Detik dataset. However, its performance was highly biased toward the dominant negative class, as indicated by low macro-average F1-scores of (0.24) and (0.39). In contrast, SVM showed the most balanced performance by reducing class bias, achieving accuracies of (0.68) and (0.67) with macro-average F1-scores of (0.51) and (0.59), respectively. KNN demonstrated moderate performance, with accuracy values of 0.60 and 0.59, but remained less effective than SVM in handling minority sentiment classes.
Co-Authors Abd Haris, Abd Afifah Aulia Fitri Alfarizi, Nauval Annisa Dwi Nugraheni Apria , Wilza Ardian, Heri Arief Fath Atiya Arif, Maulana Arita Marini Arya Bintang Prasetyo Asrini Asrini Astriani, Dea dadang, rahmatul Damayanti Firdaus, Efrida Deka Veronica Desy Safitri Dewi ANGGRAENI Diah Ayu Ramadhina Dicky Febri Hadi Dudung Amir Sholeh Fadilla Zahrah Fauziah, Naila Hairunnisa, Salsa Nurul Hamdani Abdi Harti, Sri Dwi Hasan Basri Ilham Ilham Irwansyah Irwansyah Islam Madina Januar, Ahmad Juliwis Kardi Jurjani, Jurjani Keluanan, Yane Henderina Linda Zakiah Lydia, Prima Maulidya, Aisyah Mira Amalia Amri Mira Amelia Amri Muhammad Amin Muhammad Syahputra Novelan Namang, Kezya Thresia Nauval Alfarizi Nikita Aura Marshanda Nome, Nehemia Noprijon Nurdin Nurdin Nurzengky Ibrahim Okzella , Nadia Pangestu, Yoga Paulus Suhendro Mbette , Petrus Petrus Suhendro Prima Lydia Yosophin Batubara Purwanto, Vivi Devriana Putri Sugiharto, Anggie Putri, Kansa Aura Rahayu Ningsih, Sri Rahmawati, Sisca Raihan, Regghina Nasywa Ramadani , Laili Resty Kasmitha Rina Wulandari Rizky Hidayat Rumawak, Sarah Agustina S Sumarlin Sahputra, Rilawadi Salim, Salsabila Nuramalia Sari Dewi, Lizabeth Sari, Yolanda Satria Sinurat Selan, Yunus Shoalihin Shoalihin Silalahi, Dian Hardian Sinurat, Satria Soleh, Dudung Amir Sri Nuraini Suhendro, Petrus Suhendro, Petrus Paulus Mbette Suherman, Suherman Sujarwo Sunandar Sunandar Taufik Hidayat Usman, Herlina Uswatun Hasanah Utami, Adinda Desty Dian Yudi Darmawan Yuliati, Siti Rohmi Yunicha Harly, Aulia Zebua, Marta Novianti Zulhendra, Riko Zuliah, Azmiati