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All Journal JIPTEK : Jurnal Ilmiah Pendidikan Teknik dan Kejuruan International Journal of Management Science and Information Technology (IJMSIT)
C. Rudy Prihantoro
Universitas Negeri Jakarta
Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Mechanical Engineering

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Development of Microlearning Video Media for Manufacturing Technical Drawing Learning Assisted by AI Adam CAD at SMK Negeri 52 Jakarta Syava Aisya Kamila; C. Rudy Prihantoro; Hari Din Nugraha
JIPTEK: Jurnal Ilmiah Pendidikan Teknik dan Kejuruan Vol 19, No 2 (2026): July
Publisher : Faculty of Teacher Training and Education Universitas Sebelas Maret Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/jiptek.v19i2.122706

Abstract

This study aims to develop and assess the feasibility of AI Adam CAD-assisted microlearning video media for Manufacturing Technical Drawing learning at SMK Negeri 52 Jakarta. The study employed a Research and Development (R&D) approach using the 4D development model (Define, Design, Develop, Disseminate), with the scope limited to the Develop stage. The developed product consists of microlearning videos covering 3D model creation using AI Adam CAD and technical drawing production using Autodesk Inventor, delivered through a web-based platform. Feasibility was evaluated by a content expert, a media expert, and Grade XI Machining Engineering students through questionnaires. Results indicate that the content expert rated the media at 97% (Very Feasible), the media expert at 96% (Very Feasible), and student responses reached 94% (Very Feasible). These findings confirm that the developed media meets feasibility criteria as an independent learning support tool for Manufacturing Technical Drawing at the vocational secondary level. Subsequent studies are encouraged to carry out the Disseminate phase in full and assess the media's effectiveness through an experimental design.
AI-Based Smart Grid Simulation for Electrical Control System Practicum: A Case Study at SMKN 1 Tambun Utara Annuur Azizah Mini Putri Putri; Nurulita Imansari; Ivan Hanafi; C. Rudy Prihantoro; Muhammad Nurtanto
International Journal of Management Science and Information Technology Vol. 6 No. 2 (2026): July - December 2026
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA), Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijmsit.v6i2.7742

Abstract

The rapid advancement of Artificial Intelligence (AI) and smart energy technologies has created new opportunities for enhancing vocational education, particularly in electrical engineering learning environments. Critical thinking skills are essential competencies for students in Electrical Installation Engineering programs, as they support problem-solving, decision-making, and analytical reasoning during practicum activities. However, electrical control system practicums in vocational schools are often conducted using conventional instructional approaches that provide limited opportunities for students to engage in higher-order thinking processes. This study aims to investigate the potential implementation of AI-Based Smart Grid Simulation as an innovative learning medium to enhance students’ critical thinking skills in electrical control system practicum learning. A qualitative case study approach was employed at SMKN 1 Tambun Utara, Indonesia. Data were collected through classroom observations, semi-structured interviews with teachers and students, and analysis of learning documents. The collected data were analyzed using the Miles and Huberman interactive model, including data reduction, data display, and conclusion drawing. The findings indicate that current practicum activities primarily rely on jobsheets and conventional laboratory equipment, which tend to emphasize procedural execution rather than analytical problem-solving. Teachers and students expressed the need for interactive learning media capable of visualizing complex electrical systems and simulating real-world operational scenarios. The study reveals that AI-Based Smart Grid Simulation has significant potential to support critical thinking development by enabling students to analyze system conditions, evaluate alternative solutions, and make informed decisions in simulated electrical control environments. These findings provide practical insights for integrating AI-driven smart grid technologies into vocational education and contribute to the development of innovative learning strategies that align with Industry 4.0 and Education 5.0 requirements.
Co-Authors Annuur Azizah Mini Putri Putri Hari Din Nugraha Ivan Hanafi Muhammad Nurtanto Nurulita Imansari Syava Aisya Kamila