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All Journal Journal of Mechanical Engineering Education (Jurnal Pendidikan Teknik Mesin) Jurnal Pendidikan Teknik Mesin Undiksha Jurnal Pendidikan dan Pembelajaran Indonesia (JPPI)
Agung Gumelar
Universitas Negeri Jakarta
Automotive Engineering Education Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mechanical Engineering Other

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Evaluasi Program Teaching Factory di Sekolah Menengah Kejuruan menggunakan CIPP Framework: Evaluation of the Teaching Factory Program in Vocational High Schools Using the CIPP Framework Prihantoro, Constantinus Rudy; Nugraha, Hari Din; Gumelar, Agung; Pratama, David; Gunadi, Diandra Keisha; Ibrahim, Fakhrizal Hafish
Jurnal Pendidikan Teknik Mesin Undiksha Vol. 13 No. 2 (2025)
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/jptm.v13i2.95013

Abstract

Teaching Factory is a learning program that optimizes the curriculum, resources, and human capital in Vocational High Schools (SMK) of Centers of Excellence. The objectives of this study are: (1) to identify the level of conformity in the implementation of the Teaching Factory program by analyzing the Context, Input, Process, and Product (CIPP) at five SMKs in DKI Jakarta; and (2) to formulate recommendations for improving and developing the Teaching Factory program to be more effective and sustainable. This research employed a quantitative method with a CIPP-based evaluation instrument, involving vice principals of curriculum and facilities, teachers, and students as research subjects. The findings reveal that: (1) Context: average score 3.61 out of 4, the curriculum is relatively aligned with industry needs, but the understanding of educational regulations remains low due to limited dissemination of government policies to teachers and school management; (2) Input: average score 3.55, facilities and infrastructure are inadequate due to limited budgets and lack of regular equipment calibration, which reduces the quality of marketable products and human resources, although teachers’ pedagogical competence (avg. 3.8) is already good; (3) Process: average score 3.59, learning methods are less innovative as teachers still rely on lectures and employ ineffective assessment instruments, resulting in low collaboration among students and suboptimal graduate employability; (4) Product: average score 3.26, the quality of marketable products falls below industry standards due to weak school quality control systems and the underutilization of project-based assessment. These findings can serve as a basis for strategies and curriculum development that better prepare students for the labor market and help reduce the unemployment rate among SMK graduates.
DEVELOPING AN EVALUATION INSTRUMENT BASED ON THE TECHNOLOGY ACCEPTANCE MODEL FOR TEACHERS' ARTIFICIAL INTELLIGENCE READINESS Nugraha, Hari Din; Gumelar, Agung; AK, Tri Bambang; Anggrainy, Rani; Nurahman, Muhamad Habib Alfin; Gunadi, Diandra Keisha
Journal of Mechanical Engineering Education (Jurnal Pendidikan Teknik Mesin) Vol 12, No 2 (2025): December 2025
Publisher : Universitas Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/jmee.v12i2.88890

Abstract

In Indonesia, only 48% of vocational teachers demonstrate limited readiness to integrate Artificial Intelligence into learning. Addressing this issue requires a reliable instrument to evaluate prospective teachers' preparedness. This study developed and validated an instrument based on the Technology Acceptance Model to assess the digital competencies of Mechanical Engineering pre-service teachers in Indonesian vocational education. The research quantitatively evaluated four constructs: Perceived Usefulness, Perceived Ease of Use, Behavioral Intention, and Self-Efficacy. Involving 100 respondents from a community service program, the development followed three stages: preparation, expert content validation using Aiken’s V, and construct validation via Exploratory Factor Analysis. Results confirmed unidimensional structures for all constructs. Perceived Usefulness and Perceived Ease of Use showed strong validity with high eigenvalues (4.984 and 5.063) and explained variance (49.8% and 50.6%). The Kaiser-Meyer-Olkin measure confirmed sampling adequacy (0.833–0.909). Aiken’s V analysis indicated high content (0.83), construct (0.81), and linguistic validity (0.85). Key findings highlight deficiencies in Artificial Intelligence tool proficiency, emphasizing the need for curriculum alignment with Industry 4.0 demands. This study provides a validated tool to guide teacher training and policy, effectively addressing the digital divide in vocational education and bridging a critical gap between theory and practice.
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.
Evaluation of Content Validity for an Educational Media Instrument to Enhance Early Childhood Education (PAUD) Teachers’ Nutrition Knowledge Salsa Belladinna Putri Utami; Nur Riska; Rusilanti Rusilanti; Agung Gumelar
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.v5i4.2531

Abstract

This study aims to evaluate the content validity of an educational media instrument developed to measure the quality of educational magazine media designed to enhance Early Childhood Education (PAUD) teachers’ knowledge of nutrition. Evaluating educational media instruments is crucial to ensure that the materials used in teacher professional development are relevant, accurate, and clear. Without a well-validated instrument, there is a risk that the media applied in educational settings may not effectively achieve its intended learning outcomes. A descriptive quantitative research design was employed, with expert judgment serving as the central approach for validation. Several specialists in the fields of education and instrument development were involved in evaluating the instrument. Their assessment focused on three main aspects: media design, language clarity, and content relevance related to nutrition education. The findings indicate that the instrument achieved strong content validity across all domains, demonstrating its potential to accurately assess the feasibility and quality of nutrition education media. The study contributes to the field of educational evaluation by highlighting the critical role of content validity in the development of instruments intended to support teacher professional learning and the improvement of instructional materials.
Co-Authors AK, Tri Bambang Anggrainy, Rani Gunadi, Diandra Keisha Hari Din Nugraha Himawan Hadi Sutrisno Ibrahim, Fakhrizal Hafish Nugraha, Hari Din Nur Riska Nurahman, Muhamad Habib Alfin Pratama, David Pratomo Setyadi Prihantoro, Constantinus Rudy Rusilanti Rusilanti Salsa Belladinna Putri Utami