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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 543 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.
Needs Analysis for Flipped Classroom Integration Using Interactive H5P Modules in Herbal Pharmacology Learning Widjonarko, Kelik; Kustandi, Cecep; Paristiowati, Maria
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.v7i2.1572

Abstract

This study conducted a needs analysis to inform the development of herbal pharmacology instruction using a flipped-classroom approach supported by interactive H5P (Hypertext Markup Language 5) modules at the Dharma Usada Study Program, Institut Nalanda. Employing a qualitative descriptive design, data were collected through structured classroom observations, semi-structured interviews with the course lecturer, and questionnaires administered to twenty-one students. Data were analyzed using descriptive qualitative methods and percentage calculations to identify instructional gaps and learner needs. Findings show learning remains lecture-dominant (78%) and reliant on presentation slides (91%), contributing to limited interaction and low student Engagement. Most students expressed readiness for technology-enhanced learning: 94% indicated strong interest in a flipped-classroom model supported by interactive H5P to promote autonomous learning and deeper conceptual understanding. Based on these results, the study recommends designing structured H5P modules featuring interactive videos, formative quizzes, and immediate feedback. This needs analysis provides an empirical basis for development, expert validation and pilot testing.
Conceptual Framework of an AI-Based Adaptive Formative Assessment to Support Differentiated Elementary Science Learning Putri, Windi Febriana; Diana, Diana; Ellianawati, Ellianawati; Avrilianda, Decky
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.v7i2.1574

Abstract

Formative assessment in elementary science is often homogeneous, limiting its diagnostic role and support for differentiated learning. This study designs a conceptual framework for an AI-based adaptive formative assessment system to support differentiated learning in elementary science. Using R&D with the ADDIE model, the article focuses on the Analysis and Design stages. Analysis identified assessment problems and teachers' needs through semi-structured interviews and a needs questionnaire; design produced system specifications and conceptual designs from empirical findings and theory. Key outputs include: (1) an assessment blueprint with progressive difficulty, (2) adaptive logic driven by student responses, (3) a system flow diagram, and (4) an initial application prototype. It emphasizes diagnostic function, meaningful formative feedback, and teacher usability. Theoretically, it advances formative assessment research by integrating adaptivity within an assessment-for-learning perspective. In practice, the framework can guide developers, schools, and policymakers in enhancing teachers' assessment literacy and implementing adaptive formative assessment in elementary science.
Effectiveness of Google Sites–Assisted Problem-Based Learning on High School Students' Analytical Skills in Lithosphere Learning Cahyani, Dian Tri; Wirahayu, Yuswanti Ariani; Palupi, Maria Cicilia Tri
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.v7i2.1588

Abstract

This study examined the effectiveness of Problem-Based Learning (PBL) assisted by Google Sites in improving students' analytical thinking in lithosphere topics. A quasi-experimental nonequivalent control group design involved 68 tenth-grade students, divided into an experimental (PBL and Google Sites) and a control (conventional instruction) group. Analytical skills were measured with a validated essay test targeting the indicators of differentiating, organizing, and attributing. Data were analyzed with the Mann–Whitney U test due to non-normality. Results showed a significant difference (p < 0.05), with the experimental group achieving higher mean scores and a large effect size (r = 0.79). The findings indicate that integrating PBL with a web platform effectively enhances analytical competence in geography learning. Practical implications suggest that teachers can use Google Sites to structure problem scenarios, learning tasks, worksheets, and assessments. Limitations include single-school sampling and short treatment duration; future research should apply N-gain analysis, test other topics, and compare platforms.
Examining the Influence of Tutors on Learning Management System Use in Driving Motivation and Effectiveness of Online Learning Sahusilawane, Wildoms; Hiariey, Lilian Sarah; Wuarlela, Mouren
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.v7i2.1599

Abstract

This study examines the role of tutor facilitation in optimizing the use of the Learning Management System (LMS) to enhance learning motivation and online learning effectiveness among millennial students. Although LMS platforms are widely implemented, prior research has focused on technological aspects, leaving the pedagogical role of tutors as mediators of LMS-based learning outcomes underexplored. A quantitative design involved 160 students from Universitas Terbuka in Indonesia. Data were collected via structured questionnaires and analyzed using Structural Equation Modeling–Partial Least Squares (SEM-PLS). Results indicate tutor facilitation contributes significantly to students' learning motivation and the effectiveness of LMS-based online learning. The structural model demonstrates explanatory power and predictive relevance, confirming the tutor's key role in strengthening the link between technology adoption and student learning outcomes. Practical implications include strengthening tutors' pedagogical and digital competencies and recommending institutional policies that integrate technological support with human facilitation to improve learning. Further research should employ cross-institutional samples and mixed-method approaches to enhance generalizability.
University Students’ Perceptions and Attitudes Toward AI Use in Learning: Benefits and Concerns Halim, Halim; Mawaddah, Najma Nur; Saputra, Yulian Widya; Sutriani, Sutriani
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.v7i2.1601

Abstract

Artificial Intelligence (AI) has been increasingly utilized in higher education and has influenced the way students learn and complete academic tasks. This study aims to examine university students’ perceptions and attitudes toward the use of Artificial Intelligence in the learning process. A descriptive quantitative approach was employed, involving 74 active students from the Geography Education study program. Data collection was conducted via an online questionnaire using a five-point Likert scale, and the data were analyzed using descriptive statistics and score interpretation techniques. Research findings suggest that students' perspectives on the use of Artificial Intelligence fall into the positive category, with 73.5% reporting a positive view. At the same time, students' attitudes toward AI use also fall into a positive category, reaching 74.1%. These findings suggest that Artificial Intelligence is perceived as beneficial in enhancing learning efficiency, motivation, and student Engagement. However, the study also reveals students' concerns regarding potential over-reliance on AI, which may reduce critical thinking skills, as well as issues related to data privacy and security. Based on these findings, this study recommends that universities provide training on Artificial Intelligence (AI) ethics, establish privacy protection guidelines, and implement academic integrity policies.
Principal Innovation in Managing Budgetary Autonomy: Evidence from a Narrative Review Using the Saber Framework Shofiyah, Faridatus; Sumarni, Sri; Saputro, Ardiyan Eko; Puspitasari, Vinda; Prasetyo, Deny
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.v7i2.1642

Abstract

Vocational education in Indonesia has transformed the implementation of budgetary autonomy in vocational high schools (SMKs), requiring principals to manage resources strategically and accountably. However, most studies emphasise administrative compliance with funding regulations, and few synthesize principals' innovation within the School Autonomy and Accountability (SABER) framework. This study analyses principals' innovation strategies in managing SMK budgetary autonomy via a narrative literature review. Twelve articles (2022–2025) were thematically synthesized. Findings show three dominant innovation patterns: revenue diversification through internal business units such as BLUD and teaching factories; financing efficiency via strategic industry partnerships; and strengthened accountability through digital internal control systems. These innovations suggest that effective budgetary autonomy depends less on funding magnitude and more on principals' entrepreneurial leadership capacity to balance autonomy with strict accountability. The study contributes a conceptual synthesis of SABER in vocational contexts and recommends capacity-building for principals and adaptive regulatory measures to support innovation, particularly in remote and resource-constrained settings, for wider validation.
Implementing Differentiated Learning in the Merdeka Curriculum at Upper Elementary Level: Teachers’ Constraints and Adaptive Strategies Fadil, Muhammad Sulthon; Nurulpaik, Iik
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.v7i2.1663

Abstract

Differentiated learning constitutes a fundamental component of the Independent Curriculum that realizes responsive instruction toward student diversity. Its implementation in grade VI poses complex challenges that require adaptive strategies. This study analyzes the constraints and strategies teachers employ in implementing differentiated learning within the Independent Curriculum for grade VI in an elementary school. This qualitative descriptive research involved two grade VI teachers, the principal, and the curriculum coordinator at SDN Serang 20, Serang City. Data were collected through interviews, classroom observations, and document analysis. Findings indicate that differentiation practices predominantly occur in the learning process through flexible grouping and individual mentoring, while content and product differentiation remain limited. Main constraints include non-operational conceptual understanding, limited planning time, high student ability heterogeneity, infrastructure limitations, and administrative burden. Teachers develop adaptive strategies through continuous independent learning, collaborative learning community, simplified teaching modules, flexible grouping, intensive individual mentoring, and creativity in creating simple learning media. Institutional support through learning communities and collaborative leadership is a key success factor.
Cyberbullying Experiences and Their Impact on Vocational Students’ Academic Achievement Nafi'ah, Khoirun; Jatmika, Surya
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.v7i2.1665

Abstract

This study investigates cyberbullying experiences among students in the Accounting program at SMK Negeri 3 Sukoharjo and their implications for psychological well-being and academic achievement. Responding to rising social media risks among adolescents, the research employs a qualitative case study design. Data were collected through semi-structured interviews, classroom observations, and documentation with victims of cyberbullying, guidance and counseling teachers, homeroom teachers, and the vice principal for student affairs. Data were analyzed using thematic analysis involving systematic coding, theme development, and interpretation, supported by source triangulation and member checking to enhance credibility. Findings indicate that cyberbullying—manifested as ridicule, negative comments, and unauthorized sharing of personal content—produces anxiety, diminished self-confidence, and social withdrawal. Consequently, affected students exhibit reduced concentration, lower classroom participation, and declining grades in several subjects. The study highlights the critical role of schools in mitigating cyberbullying by strengthening digital literacy, expanding counseling services, and establishing secure, sustainable reporting mechanisms. Recommendations emphasize integrated prevention strategies that involve teachers, parents, and school administrators to protect student welfare and support academic resilience.

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