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Ecobrick sebagai Salah Satu Alternatif Menyelesaikan Permasalahan Sampah Plastik di Kampung Cokrokusuman Yogyakarta: Ecobrick as One of the Alternatives to Solve Plastic Waste Problems in Cokrokususman Village Yogyakarta Salamah, Zuchrotus; Sasongko, Hadi; Nurusman, Arief Abdillah; Saputri, Andini Ika; Putri, Anggun Lintang Permata; Saroh, Vetin Yumita
PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat Vol. 9 No. 8 (2024): PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat
Publisher : Institute for Research and Community Services Universitas Muhammadiyah Palangkaraya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33084/pengabdianmu.v9i8.6883

Abstract

The dense population of Cokrokusuman results in an increasing amount of waste, both organic and inorganic, one of which is plastic waste, therefore efforts need to be made to overcome this. The aim of this service is to introduce and increase knowledge and skills about ecobricks. The methods used are lectures, questions and answers, discussions, demonstrations and practice. This activity had a positive impact on the residents of Cokrokusuman, as can be seen from the evaluation results by comparing answers before and after the training. After the training, the community 100% understood the knowledge about ecobricks, materials and obstacles to making ecobricks. There are still 7.1% of people who do not understand the benefits and uses of ecobricks. The entire activity process was followed enthusiastically by all participants and gave satisfactory responses, the community was interested in making more diverse ecobrick creations.
Artificial Intelligence for Competency-Based Assessment in Vocational Education Mofu, Alfred Michel; Sari, Praramadini; Saroh, Vetin Yumita; Fajaryati, Nuryake; Utami, Pipit; Sahria, Yoga
Journal of Research in Social Science and Humanities Vol 5, No 4 (2025)
Publisher : Utan Kayu Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47679/jrssh.v5i4.564

Abstract

The rapid adoption of artificial intelligence in education has increasingly influenced research in technical and vocational education and training (TVET). However, much of the existing literature focuses primarily on prediction-oriented learning analytics rather than on competency-based assessment frameworks that are central to vocational education. This study investigates how artificial intelligence has been applied within vocational education research and examines the extent to which competency-based assessment principles are represented in literature. A systematic literature review was conducted using the PRISMA protocol, combined with layered bibliometric mapping using VOSviewer to explore structural and conceptual patterns in the research field. The dataset was constructed from Scopus-indexed journal articles published between 2020 and 2025. Bibliometric results indicate that machine learning, deep learning, and educational data mining dominate the research landscape, while competency constructs remain relatively peripheral. The thematic synthesis further reveals limited attention to authentic performance modeling and explainable artificial intelligence within assessment contexts. In response to these gaps, the study proposes a conceptual framework for AI-supported competency-based assessment in vocational education that integrates construct-grounded modeling, authentic performance analytics, and explainable decision architectures. The framework provides a conceptual foundation for aligning artificial intelligence technologies with competency-oriented evaluation in vocational learning environments.