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All Journal Jurnal Pendidikan dan Pembelajaran Indonesia (JPPI) Jurnal Pendidikan Teknik Mesin
Hari Din Nugraha
Universitas Negeri Jakarta
Automotive Engineering Education Engineering Languange, Linguistic, Communication & Media Mechanical Engineering Other

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STUDENT UNDERSTANDING OF THE EFFECTIVENESS OF THE MBKM PROGRAM: A CASE STUDY IN THE MECHANICAL ENGINEERING CLUSTER OF FT UNJ Tri Bambang AK; Rani Anggrainy; Eko Arif Syaefuddin; Ifaturohiyah Yusuf; Hari Din Nugraha
Jurnal Pendidikan Teknik Mesin Vol. 10 No. 2 (2023): Jurnal Pendidikan Teknik Mesin
Publisher : Program Studi Pendidikan Teknik Mesin Fakultas Keguruan dan Ilmu Pendidikan Universitas Sriwiajaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36706/jptm.v10i2.2

Abstract

This study aims to evaluate student perceptions of the implementation of the Merdeka Belajar Kampus Merdeka (MBKM) Program in the Mechanical Engineering cluster of Jakarta State University. The survey was conducted to collect data from students who are active in the MBKM Program. The data is then analyzed to identify perceptions of the benefits, challenges, and effectiveness of the program. The results showed that the majority of students had an adequate understanding of MBKM and sought information through various sources, such as social media, mass media, and the official website of the Ministry of Education and Culture (Kemdikbud). The Internship/Work Practice Program (MSIB) is the most dominant, and the majority of students benefit positively from MBKM in developing academic skills and learning experiences. Students also reported improvements in hard skills and soft skills. Although some aspects of the program implementation are progressing, the findings point to the need for improvement, especially related to student regulations. Students feel the need to improve good regulations related to the conversion of MBKM program courses. This research contributes to the improvement of the continued development of the MBKM Program in universities
Evaluation of Readiness among Prospective Mechanical Engineering Vocational Teachers to Apply Generative AI in Education Using Technology Acceptance Model (TAM) Agung Gumelar; Hari Din Nugraha; Rani Anggrainy; Himawan Hadi Sutrisno; Pratomo Setyadi; Salsa Belladinna Putri Utami
Jurnal Pendidikan dan Pembelajaran Indonesia (JPPI) Vol. 5 No. 4 (2025): Jurnal Pendidikan dan Pembelajaran Indonesia (JPPI), 2025 (4)
Publisher : Yayasan Pendidikan Bima Berilmu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53299/jppi.v5i4.2530

Abstract

This study evaluates the readiness of prospective vocational school teachers in integrating Generative Artificial Intelligence (GenAI) into learning using the Technology Acceptance Model (TAM) framework, which includes Perceived Usefulness (PU), Perceived Ease of Use (PEOU), Behavioral Intention (BI), and Self-Efficacy (SE). The research employs a descriptive quantitative design with 100 respondents who are prospective vocational high school mechanical engineering teachers. The instrument consists of 30 items (Likert scale 1–5) and was validated by three validators using Aiken’s V (content = 0.90; construct = 0.88; language = 0.89; > 0.75). The results showed that PU (mean = 4.01; SD = 0.77) was the highest, followed by BI (mean = 3.93; SD = 0.92) and PEOU (mean = 3.89; SD = 0.82), while SE (mean = 3.66; SD = 0.95) was the lowest but relatively. Item-level analysis indicated strengths in perceptions of industry relevance and AI-assisted learning planning, as well as the need for strengthening technical skills and troubleshooting. These findings support the urgency for vocational curriculum development emphasizing AI literacy, pedagogical-technological training, and industry collaboration.
Co-Authors Agung Gumelar Anggrainy, Rani Eko Arif Syaefuddin Himawan Hadi Sutrisno Ifaturohiyah Yusuf Pratomo Setyadi Salsa Belladinna Putri Utami Tri Bambang AK