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All Journal JURNAL TEKNOLOGI DAN OPEN SOURCE Jurnal Pengabdian Masyarakat Indonesia
Matius Ivan Bimasena
Institut Teknologi dan Bisnis STIKOM Bali
Computer Science & IT Education Environmental Science Law, Crime, Criminology & Criminal Justice Social Sciences Other

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Benchmarking IndoBERT and Multilingual BERT for Indonesian Financial News Sentiment Classification Matius Ivan Bimasena; I Kadek Yogi Prayoga; I Gusti Agung Putu Mahendra; Purnama Sidik
JURNAL TEKNOLOGI DAN OPEN SOURCE Vol. 9 No. 1 (2026): Jurnal Teknologi dan Open Source, June 2026
Publisher : Universitas Islam Kuantan Singingi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/jtos.v9i1.5583

Abstract

Financial news sentiment classification was important for understanding market narratives and investor perception, but Indonesian financial news remained challenging because it contained domain-specific terminology, numerical expressions, and imbalanced sentiment categories. This study benchmarked two transformer-based models, IndoBERT and Multilingual BERT, for classifying Indonesian financial news sentiment into negative, neutral, and positive classes. The dataset consisted of economic and financial news articles from Kontan, CNBC, and Bisnis.com during the first quarter of 2026. After preprocessing, 3,366 articles were used, consisting of 3,070 neutral, 184 negative, and 112 positive articles. The dataset was divided into training, validation, and testing sets using stratified splitting. Class weighting was applied to reduce the effect of class imbalance. The results showed that IndoBERT achieved the best overall performance, with 0.94 accuracy and 0.71 macro F1-score, while Multilingual BERT achieved 0.93 accuracy and 0.70 macro F1-score. These findings indicated that IndoBERT was more suitable for Indonesian financial news sentiment classification, although Multilingual BERT remained competitive, especially in detecting positive sentiment.
Peningkatan Literasi Etika Artificial Intelligence dan Pemanfaatan Teknologi secara Bertanggung Jawab pada Siswa SMK Negeri 3 Denpasar Kadek Surya Adi Saputra; I Putu Agus Ari Mahendra; Matius Ivan Bimasena; Purnama Sidik; I Wayan Pasek Prasi Ana
JURNAL PENGABDIAN MASYARAKAT INDONESIA Vol. 5 No. 2 (2026): Juni: Jurnal Pengabdian Masyarakat Indonesia (JPMI)
Publisher : Politeknik Pratama Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jpmi.v5i2.7146

Abstract

The rapid advancement of artificial intelligence (AI) has created a significant gap between the intensity of technology use among students and their ethical understanding. This community service activity aimed to enhance AI ethics literacy among students of SMK Negeri 3 Denpasar through a seminar titled The Ethics of AI: Wise Use of AI by Maximizing Its Application. The activity was conducted in three structured phases: preparation, implementation (a 90-minute interactive seminar with pre-test and post-test), and evaluation using a 10-item Likert scale questionnaire (scale 1-5) administered to 40 participants representing students from grades X to XII of SMK Negeri 3 Denpasar. Data were analyzed descriptively and using the N-Gain index. Results indicated that the mean pre-test score of 4.00 (Good category) increased to 4.29 (Very Good category) in the post-test, yielding an N-Gain value of 0.29 (Moderate category). Participants classified as Very Good increased from 35% to 67.5%. The highest improvements were recorded on awareness toward fake AI-generated content (+0.73) and motivation for AI for Good use (+0.37). This activity demonstrates that an interactive AI ethics seminar is effective as an educational intervention to improve digital literacy among youth, particularly regarding responsibility, data privacy, and critical thinking in the context of technological development
Co-Authors I Gusti Agung Putu Mahendra I Kadek Yogi Prayoga I Putu Agus Ari Mahendra I Wayan Pasek Prasi Ana Kadek Surya Adi Saputra Purnama Sidik Purnama Sidik