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All Journal Lex Scientia Law Review Indonesian Journal of Medicine YUME : Journal of Management Ensiklopedia Education Review Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Visual Heritage: Jurnal Kreasi Seni dan Budaya JHR (Jurnal Hukum Replik) Mutawasith: Jurnal Hukum Islam Infotech: Journal of Technology Information STUDI PELAKSANAAN SELFMEDICATION PADA PENDERITA DIARE BERDASARKAN TINGKAT PENGETAHUAN MASYARAKAT PESISIR KECAMATAN SOROPIA KABUPATEN KONAWE Jurnal Multidisiplin West Science Communication and Information Journal Sabangka Abdimas Jurnal Pengabdian Masyarakat Sabangka JICS : Journal Of International Community Service Jurnal Penelitian Hukum Indonesia (J-PeHI) SCIENTIA JOURNAL : Jurnal Ilmiah Mahasiswa
Calvin Calvin
Universitas Sumatera Utara
Religion Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Public Health Social Sciences Other

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Journal : Communication and Information Journal

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Chatbot Interaktif Berbasis Transformer untuk Penyediaan Informasi Dinamis di Industri Esports Calvin, Calvin; Mawardi, Viny Christanti; Lewenusa, Irvan
Comit: Communication, Information and Technology Journal Vol. 3 No. 2 (2025): Comit: Communication and Information Journal
Publisher : IAI Nasional Laa Roiba Bogor

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Abstract

The esports industry is experiencing rapid growth and has given rise to the need for an information system that is able to present news quickly and relevantly. This study develops an interactive chatbot based on the BART (Bidirectional and Auto-Regressive Transformers) model to answer user questions directly based on information collected through web scraping. The system is designed using Python and Flask, and uses MongoDB as data storage. Evaluation is carried out through F1-Score and Conversation-Based Evaluation to assess system performance in terms of relevance, coherence, and fluency of answers. The results show that the chatbot is able to provide accurate and coherent answers with fast response times, although there are still challenges in terms of recall and understanding ambiguous contexts.
Co-Authors Ahmad Shalahuddin, Ahmad AHMADI Ana Fitriana Butar-Butar, Mangasi Calvin Daris Purba Deu, Indasari Dewi Isma Aryani Elfrida Ratnawati Ericsen Tiondi Putra Erna Listiana Evanthi, Ayundha Hendra Wijaya Hutagaol, Jarunjung Imanuel, Marchelle Indy Millani, Alief Irvan Lewenusa, Irvan Jeny, Jeny Kurnaedi, Julius Kusuma, Yudha Eka Layli, Rani Maghfiratul Lim, Jimmy Lim, Trillian Lukman, Michelle Pandojo MAHMUL SIREGAR Nasution, Rasina Padeni Nelson, Alden Nindito, Hendro Noor Azizah Putri, Sukma Alexander Rudiyanto Rudiyanto, Rudiyanto Samvara, Made Adhiguna SINAGA, HENRY Suhardi Suhardi Viny Christanti M