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All Journal Jurnal Informatika Jurnal Infra Seminar Nasional Informatika (SEMNASIF) International Journal of Engineering, Science and Information Technology Jurnal Pengabdian Masyarakat Bangsa Bulletin of Social Informatics Theory and Application
Agustinus Noertjahyana
Program Studi Teknik Informatika Universitas Kristen Petra
Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Transportation

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Journal : Bulletin of Social Informatics Theory and Application

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Analyzing the Indonesian sentiment to rohingya refugees using IndoBERT model Arifin, M Zainal; Maulana, Sandy Yunan; Noertjahyana, Agustinus; Mohamed Asghaiyer, Asghaiyer
Bulletin of Social Informatics Theory and Application Vol. 8 No. 2 (2024)
Publisher : Association for Scientific Computing Electrical and Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/businta.v8i2.749

Abstract

This study aims to analyze public sentiments towards Rohingya refugees in Indonesia using the IndoBERT model. We collected sentiment data from social media platforms and news articles, followed by preprocessing techniques including tokenization, cleaning, case folding, stemming, and filtering. Sentiment labels were assigned using the InSet lexicon, and the IndoBERT model was trained with these labeled data. Our findings reveal that the predominant sentiment is negative, with 65% of the sentiments classified as negative, 20% as neutral, and 15% as positive. The model demonstrated robust performance with an accuracy of 87%, precision of 85%, recall of 83%, and an F1 score of 84%. This research addresses a gap in sentiment analysis studies related to refugee issues and provides valuable insights into public perceptions, which could inform policies and interventions aimed at improving refugee integration and support systems in Indonesia.
Co-Authors A.A. Ketut Agung Cahyawan W Agus Setiawan Suhariono Agustinus Darmawan Andilolo Albert Halim, Albert Alexander Setiawan Alvin Assianto Leiman Andreanus Agung Andreas Handojo Andrey Hariyanto Anita Nathania Purbowo Che Pee, Ahmad Naim Daniel Satriautama, Daniel Daniel Wilhenson Kuntani, Daniel Wilhenson David Harjowinoto, David Della Nova Ongkodjojo Denissa Alfiany Luhulima Devi Christiani Angir, Devi Christiani Endhy, Kezia Tiatira Fanny Febriani Santoso, Fanny Febriani Fujianto - Genadiarto, Anthony Sutera Go David Gunawan Gregorius Satia Budhi Handojo, Steven Halim Hartanto Rusli Heinrich Wiradinata Hendy Santoso Henry Novianus Palit Ibnu Gunawan Justinus Andjarwirawan Kabzar, Vladimir Kartika Gunadi Kevin Darmawan Limantoro Leo Willyanto Santoso M Zainal Arifin, M Zainal Machael Cahyadi, Machael Maulana, Sandy Yunan Michael Christian Wibisono Mohamed Asghaiyer, Asghaiyer Natanael, Theodorus Nico Hartono, Nico Ocky Mahendra Alim, Ocky Mahendra Osbert Tjitro Sampurna Palit, Henry N Paul Agustinus Praseptiawan, Mugi Raymond Adrian Hardha, Raymond Adrian Regina, Gladys O Renardi Dewanto Cahyadi, Renardi Dewanto Richard Pangalila, Richard Rosaline Debora Kusuma Rudy Adipranata Sandy Sulistio Shandy Widjaya, Shandy Silvia Rostianingsih Stien Tjiangdiono, Stien Surjo, Gregorius Maria Vianny Novita, Vianny Vincentius Aditya Nugraha Widya Ongels, Widya William Andi Pattera Yulia Yulia Zakaria, Mohd Hafiz