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p-Index From 2021 - 2026
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All Journal Journal of Deep Learning, Computer Vision and Digital Image Processing Jurnal Sipakatau
Ayu Hasnining
Universitas Negeri Makassar, Indonesia
Religion Arts Humanities Computer Science & IT Engineering Environmental Science Health Professions Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Nursing Physics Social Sciences Veterinary Other

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EduTech Acceleration: Strengthening Teacher Competencies through AI-Based Learning Media Training Dewi Fatmarani Surianto; Muhammad Fajar B; Ayu Hasnining; Andi Akram Nur Risal; Haekal Febriansyah Ramadhan; Dewi Fatmawati Surianto
Jurnal Sipakatau: Inovasi Pengabdian Masyarakat Vol. 3 No. 1 (2025): Jurnal Sipakatau
Publisher : PT. Global Research Collaboration

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66314/sipakatau.v3i1.265

Abstract

The rapid adoption of Generative Artificial Intelligence (GenAI) in education requires teachers to strengthen their competencies in producing accurate, ethical, and safe learning media. This community engagement program was conducted in a secondary education institution to enhance teachers’ AI literacy and ability to apply structured prompting using the CRISP-EDU framework. The training emphasized fact-checking, credible source attribution, bias mitigation, and student data protection principles. Evaluation results demonstrate improvements across all competency dimensions: understanding of CRISP-EDU fundamentals (+42%), AI licensing and ethics (+32%), classroom AI-related standard operating procedures and risk awareness (+26%), generative AI utilization (+15%), and practical application of CRISP-EDU (+23.66%). These findings indicate a shift in teachers’ roles from passive users to critical and ethical content curators capable of producing safe and contextually appropriate AI-based learning materials.
Beyond Advice: Training Mentors in Ethics, Boundaries, and Trustworthy Mentoring Dewi Fatmarani Surianto; Asmaul Husnah Nasrullah; Ayu Hasnining; Fhatiah Adiba
Jurnal Sipakatau: Inovasi Pengabdian Masyarakat Vol. 2 No. 4 (2025): Jurnal Sipakatau
Publisher : PT. Global Research Collaboration

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61220/jsipakatau.v2i4.2525

Abstract

The Community Service Program aims to improve ethical competency among student mentors through a structured training program that focuses on five key areas: confidentiality, ethical communication, communication style, professional boundaries, and respecting mentee diversity. A total of 31 mentors participated in pre- and post-test assessments, allowing for a measurable analysis of knowledge development. The training was delivered online using Zoom and included interactive discussions, scenario analysis, and self-reflection sessions. Results showed significant improvements in all five indicators, particularly in understanding ethical communication (from 32.3% to 77.4% selecting the highest score), and appropriate communication style (from 41.9% to 80.6%). Even dimensions with high baseline scores, such as confidentiality (74.2%), experienced positive growth. The findings confirm that the training successfully improved participants’ ethical sensitivity, practical communication skills, and preparedness for real-world mentoring situations. This initiative contributed to the development of a responsible mentoring culture that aligns with the values ​​of empathy, professionalism, and inclusion. Future programs should consider expanding to include peer mentors from other faculties and provide ongoing support mechanisms to strengthen ethical mentoring practices.
Development of Android-Based Smart Learning Media for the Operating Systems Course Using the ADDIE Model Kurnia Wahyu Prima; Hariyadi; Ayu Hasnining
Journal of Deep Learning, Computer Vision, and Digital Image Processing Volume 4 Issue 2 June 2026
Publisher : CV. Sakura Digital Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61255/decoding.v4i2.1279

Abstract

Purpose – The rapid advancement of digital technology has encouraged higher education institutions to integrate innovative learning media to enhance the quality of the teaching and learning process. However, learning activities in Operating Systems courses are still predominantly conducted using conventional methods, causing students to experience difficulties in understanding abstract concepts such as process management, memory management, CPU scheduling, and file systems. This study aims to develop Android-Based Smart Learning media for the Operating Systems course and to determine the feasibility level of the developed media as an interactive learning tool.Method – This study employed a Research and Development (R&D) approach using the ADDIE model, which consists of five stages: Analysis, Design, Development, Implementation, and Evaluation. The developed product was validated by subject-matter experts and media experts before being implemented with students of the Informatics and Computer Engineering Education Program who were enrolled in the Operating Systems course. Data were collected through validation sheets and student response questionnaires using a five-point Likert scale and were analyzed using descriptive quantitative methods.Results – The findings indicate that the Android-Based Smart Learning media was successfully developed by integrating learning materials, instructional videos, interactive quizzes, and automated feedback features into a single Android application. The material expert validation yielded a score of 89.00%, while the media expert validation achieved a score of 90.00%, both categorized as highly feasible. Furthermore, student responses obtained an average percentage of 90.27%, classified as very good. Therefore, the developed media was considered suitable for supporting the learning process in the Operating Systems course.Research Implications – This study was limited to a single study program and Android devices; therefore, the generalizability of the findings remains limited.Originality – This research integrates the concepts of mobile learning and smart learning into a single interactive learning medium specifically designed to support Operating Systems education in higher education institutions.
Co-Authors Andi Akram Nur Risal Asmaul Husnah Nasrullah Dewi Fatmarani Surianto Dewi Fatmawati Surianto Fhatiah Adiba Haekal Febriansyah Ramadhan Hariyadi Kurnia Wahyu Prima Muhammad Fajar B