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All Journal Jurnal Ekonomi SOROT: Jurnal Ilmu-ilmu Sosial Jurnal Online Mahasiswa (JOM) Bidang Ilmu Ekonomi Jurnal Tepak Manajemen Bisnis Daya Saing : Jurnal Ilmu Manajemen QALAMUNA: Jurnal Pendidikan, Sosial, dan Agama Dinamika Ilmu IJEBA (International Journal of Economic, Business & Applications) Jurnal Penelitian Hukum Legalitas Jurnal Kreativitas PKM JOURNAL OF APPLIED BUSINESS ADMINISTRATION Building of Informatics, Technology and Science Jurnal Disrupsi Bisnis International Journal of Multidisciplinary: Applied Business and Education Research Journal of Applied Sciences, Management and Engineering Technology (JASMET) Jurnal Bisnis Mahasiswa Bulletin of Information Technology (BIT) Healthy Tadulako Journal (Jurnal Kesehatan Tadulako) Indonesian Journal of EFL and Linguistics Journal of Computer Science and Information Systems (JCoInS) Journal of Student Development Information System (JoSDIS) el-Buhuth: Borneo Journal of Islamic Studies Jurnal Economica: Media Komunikasi ISEI Riau Jurnal Bisnis Kompetitif Literasi: Jurnal Pengabdian Masyarakat dan Inovasi West Science Interdisciplinary Studies West Science Interdisciplinary Studies Komunita: Jurnal Pengabdian dan Pemberdayaan Masyarakat JAAMTER : Jurnal Audit Akuntansi Manajemen Terintegrasi Jurnal Manajemen Pendidikan Islam InJEBA : International Journal of Economics, Business and Accounting TAFASIR CSRID Jurnal Manajemen Dayasaing Jurnal Bisantara Informatika
Samsir Samsir, Samsir
Fakultas Ekonomi Universitas Riau
Religion Arts Humanities Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Other

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Journal : Bulletin of Information Technology (BIT)

 1 
A Text Mining Approach to Analyzing the Role of Negative Sentiment Words in News Articles on Suicide and Related Incidents Subagio, Selamat; Samsir, Samsir; Dalimunthe, Abdul Hakim; Ronal Watrianthos
Bulletin of Information Technology (BIT) Vol 5 No 4: Desember 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v5i4.1745

Abstract

This study examines the role of negative sentiment words in news media coverage of suicide and related incidents through analysis of 1,515 news articles published between 2019 and 2024. Using advanced text mining techniques and sentiment analysis, we investigated patterns in emotional language use and their impact on public discourse. The research revealed frequent usage of negative sentiment words such as "crisis" (256 occurrences), "despair" (214 occurrences), and "death" (189 occurrences), which significantly influenced the emotional framing of these sensitive topics. Statistical analysis showed strong correlations between negative sentiment words and mental health-related terms (correlation value 0.75), indicating consistent patterns in media narrative construction. Temporal analysis identified a notable increase in negative sentiment during the COVID-19 pandemic (2020-2021), followed by a shift toward more solution-focused coverage in 2022-2024. The findings suggest that while negative sentiment words are inherent in covering suicide-related topics, their use can be balanced with solution-oriented language to promote more responsible reporting. This research contributes to understanding how emotional language shapes public discourse on mental health crises and provides insights for developing more effective guidelines for responsible journalism.
Machine Learning-Driven Sentiment Analysis of Social Media Data in the 2024 U.S. Presidential Race Samsir, Samsir; Ritonga, Wahyu Azhar; Aditiya, Rahmad; Watrianthos, Ronal
Bulletin of Information Technology (BIT) Vol 5 No 4: Desember 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v5i4.1762

Abstract

This study investigates public sentiment patterns during the 2024 U.S. Presidential Race through machine learning analysis of social media data from X (formerly Twitter). Using a dataset of 500 annotated tweets collected from Kaggle, we employ BERT-based sentiment analysis, temporal engagement tracking, and Latent Dirichlet Allocation (LDA) topic modeling to examine discourse across five major candidates. The analysis reveals predominantly positive sentiment (54.2%) in political discussions, with established party candidates receiving higher positive engagement. Temporal analysis demonstrates strong correlations between major campaign events and public engagement, with presidential debates generating peak interaction levels. Topic modeling identifies five key themes driving voter discourse: economic policy, healthcare, climate change, social justice, and foreign policy. Positive content consistently achieved 20-30% higher engagement rates than negative content, though negative sentiments showed sharp spikes during controversies. Our findings contribute to understanding digital political discourse dynamics and offer practical insights for campaign strategy in the social media era. The study's limitations include platform-specific constraints and a two-month observation period, suggesting opportunities for cross-platform analysis in future research.
Co-Authors A.A. Ketut Agung Cahyawan W Abd. Karim, Abd. Abd. Rasyid Syamsuri Abdullah, Iqbal afred suci, afred Ainun, Annisa Al Fajri, Hikmi Alamsyah - Alfauzan Harahap, Ridho Alvi Furwanti Alwie Amir, Rahmat Dian Andi Syahputra Anggia, Paramitha Ansar Arifin, Ansar ARIF KURNIAWAN Arsyad Arsyad Arwinence, Arwinence Azhar, Wahyu Azmi, Fauzan Azrai Sirait Bambang Arianto Berampu, Lailan Tawila Betti Megawati Botutihe, Fauziah Dalimunthe, Abdul Hakim Dewi Andriyani Dewita Suryati Ningsih Dian, urnamasari Diana Eravia Eko Setia Budi Esti Handayani, Dwi Fadillah, Erwin Fajri, Muh. Nurul Febriwanti, Febriwanti Garnasih, Raden L. Gatot Wijayanto Guidio Leonarde Ginting Hamzah Hamzah Handayani, Tut Harahap, Fauji Hariska, Elvia Hasbullah Hasbullah Hasri, Mulya Helfiyana, Helfiyana I Ketut Gunarta Isyandi, B. Iwan Fitrianto Rahmad Iwan, Daulay N Iwan, Daulay Nauli Jayanti, Elda Jumiati Sasmita Kelvin Kelvin Khalif, Arif Khalilurrahman Khalilurrahman, Khalilurrahman Kusmanto Kusmanto Maisaroh Ritonga Mardiana Mardiana Marpaung, Radinda Tamara Ayu Marpaung, Rio Jonnes Minarti, Melly Minci, Veronika Yurike MITRA LINDA, MITRA Muhammad Yusril Muslimah, Jannatul Nalapraya, Tresna Nasution, Sya’ral Norhidayati Rahmah, Mariyatul Nufus, Inayah chayatun Nur Halimah Nursalimah, Nursalimah Nurwati Nurwati Pakpahan, Donok M Panjaitan, Indra Syahputra Paramitha, Anggia Prima Andreas Siregar Primaroni, Oky Putra, Ryryn Suryaman Prana Putri, Raisa Monica Raden Lestari Ganarsih Raden Lestari Garnasih Rahma, Ismiwiya Rahmad Aditiya Rahmad Aditya Rahmayani Rahmayani Rambe, Nisa indriani Recky Riandika Sayandra, Recky Riandika Rezki, Ananda Rio g, Marpaung J.M. Rio, Marpaung Jones Rio, Marpaung Jonnes M Rizqon Jamil Farhas Ronal Watrianthos Rustami, Rustami Ruwaidah, Ruwaidah Ryan, Simatupang Sury Febriansyah Sahid, Aidinal Sahmuda, Arjana Salewe, M Idman Saragih, Reagan Surbakti Septherine, Putri Sharnuke Asrilsyak Shela, Hasm Riaufa Siagian, Taufiqqurrahman Siagian, Taufiqqurrahman Nur Siddik, Muhammad Simanullang, Charly Siregar, Aldi Sajali Siregar, Alisa Yulima Siregar, Eka Maya Putri Sitinjak, Juniar Sri Indarti Sri Restuti Subagio, S. Subagio, Selamat Subagio, Selamet Sulasri, Sulasri Sumarti Sumarti Suntin, Suntin Suseno, Novri Irfan Nur Susi Hendriani Syawalmi, Laily Tahara, Tasrifin Tahir, Tarmizi Tang, Mahmud Tengku Firli Musfar Wahyu Azhar Ritonga Widayatsari, Any Yani, Juli Yani Yanuari, Said ZA, Kasman Arifin Zul, Huzeir Zulfadil, Zulfadil Zulfadil, Zulfadil Zulfadil, Zulfadil Zulkarnain Zulkarnain