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Arief Aulia Rahman
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INDONESIA
Edunesia : jurnal Ilmiah Pendidikan
Published by Natural Aceh
ISSN : 27225194     EISSN : 27227790     DOI : 10.51276
Core Subject : Education, Social,
Education Languange, Linguistic, Communication & Media Mathematics Social Sciences Other
As an National or international, multi-disciplinary, the scope of this journal is in education which provides a platform for the publication of the most advanced scientific researches in the areas of education, learning, development, instruction and teaching. The journal welcomes original empirical investigation. The papers may represent a variety of theoretical perspectives and different methodological approaches. They may refer to any age level, from infants to adults and to a diversity of learning and instructional settings, from laboratory experiments to field studies. The major criteria in the review and the selection process concerns the significance of the contribution to the area of learning and instruction. 1 Educational technology 2 Educational development 3 Learning and teaching 4 Curriculum development 5 Learning environment
Arjuna Subject : Umum - Umum
Articles 522 Documents
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A Lightweight Machine Learning Model for Early Detection of Cyberbullying in Online Gaming Communities to Support Digital Character Education Badrani, Farhan; Majid, Nuur Wachid Abdul
Edunesia : Jurnal Ilmiah Pendidikan Vol. 7 No. 2 (2026)
Publisher : Research, Training and Philanthropy Institution Natural Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51276/edu.v7i2.1650

Abstract

This study develops a lightweight early-warning model to identify toxic utterances as practical indicators of cyberbullying in Indonesian-language conversations within the Roblox gaming community, to support digital character education and child online safety. A corpus of 2,798 publicly available comments was manually annotated into Safe and Toxic categories and divided into training and testing sets. Text preprocessing included case folding, noise removal, tokenization, Roblox-specific slang normalization, stemming, and stopword removal. Text features were represented using term frequency–inverse document frequency (TF-IDF) unigram–bigram vectors. A linear Support Vector Machine (SVM) was evaluated against Multinomial Naïve Bayes as a baseline model. Results from hold-out testing indicate that the SVM achieved 82.14% accuracy and a macro-F1 score of 0.82, outperforming the baseline. Cross-validation results show performance variability, highlighting the need for continuous updates of domain-specific slang resources and broader data coverage. From an educational perspective, the proposed prototype can function as a non-punitive screening tool to support digital literacy instruction, school counselling, and parental mediation within a human-in-the-loop framework.
The Effect of Problem-Based Learning (PBL) through a Deep Learning Approach on Cognitive Learning Outcomes in Science and Social Studies (IPAS) at Elementary School Ferinda, Putri; Mustamiroh, Mustamiroh; Hidayat, Taufik; Iksam, Iksam
Edunesia : Jurnal Ilmiah Pendidikan Vol. 7 No. 2 (2026)
Publisher : Research, Training and Philanthropy Institution Natural Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51276/edu.v7i2.1653

Abstract

The low optimization of science and social studies (IPAS) learning outcomes in elementary schools indicates the need for more meaningful and contextual learning models. This study aimed to analyze the effect of the Problem-Based Learning (PBL) model, using a Deep Learning approach, on fourth-grade students' cognitive learning outcomes. A quantitative, quasi-experimental design was employed. The research subjects comprised 54 students, divided into experimental and control groups. Data were collected using validated and reliable pretest and posttest instruments and analyzed using descriptive statistics, normality and homogeneity tests, N-Gain calculations, and an Independent Samples t-test. The results showed that the experimental class mean score increased from 42.41 to 66.39, while the control class improved from 45.00 to 63.15. The N-Gain score of 0.29 was categorized as low to moderate. Hypothesis testing yielded a p-value of 0.498 (>0.05), indicating no significant difference between the groups. However, the Deep Learning-based PBL model demonstrated a tendency to improve cognitive learning outcomes and has potential for sustainable classroom implementation.

Page 53 of 53 | Total Record : 522

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