cover
Contact Name
Purnamawati
Contact Email
purnamawati@unm.ac.id
Phone
+62811447192
Journal Mail Official
mukhlisin@unm.ac.id
Editorial Address
Jl. Bonto Langkasa, Banta-Bantaeng, Kec. Rappocini, Kota Makassar, Sulawesi Selatan 90222 Indonesia
Location
Kota makassar,
Sulawesi selatan
INDONESIA
Jurnal Vokasi Keteknikan
ISSN : -     EISSN : 29869226     DOI : -
This journal publishes scientific articles on research, theoretical studies, and innovative developments related to the field of vocational education and engineering. The main focus of this journal is on the dissemination of ideas, findings, and best practices that contribute to the development of science and professional practice on a national and international scale. Vocational Learning Model Education-Business partnerships and collaboration Vocational Education Entrepreneurship Vocational Education Curriculum Links between education and industry The graduate labour market Work experience and placements The recruitment, induction and development of school leavers and graduates Young person employability and career development Teaching and learning practice in vocational school Vocational education in electronics Vocational education in automotive Vocational behaviour
Articles 33 Documents
DEVELOPMENT OF A COMPETENCY-BASED EVALUATION MODEL TO MEASURE SKILL IMPROVEMENT IN TECHNICAL AGRICULTURAL TRAINING PARTICIPANTS amal, Andi; Syahrul; Purnamawati
Jurnal Vokasi Keteknikan Vol 4 No 1 (2026): Maret 2026
Publisher : Pascasarjana Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/y7hq6357

Abstract

Evaluation in technical agricultural training plays a strategic role in ensuring the achievement of vocational education goals, particularly the comprehensive development of participants’ competencies encompassing knowledge, skills, and work attitudes. However, current evaluation practices in agricultural training are still predominantly focused on cognitive assessment through written tests, which inadequately represent participants’ technical skills. This article aims to describe the development of a competency-based evaluation model designed to measure skill improvement in technical agricultural training participants. The study employed a Research and Development approach, including needs analysis, model design, expert validation, limited trials, and analysis of practicality and effectiveness. The development resulted in the TERAPAN Evaluation Model, consisting of five stages: Review, Design, Action, Projection, and Conclusion. The instruments demonstrated strong validity (Aiken’s V > 0.80) and reliability. Effectiveness was evidenced by a knowledge improvement N-Gain score of 0.8013 (high category), average skill score of 81.36 (very skillful), and average attitude score of 82.43 (very good). The overall average achievement was 81.69 (very good category). The model is therefore feasible as a competency-based evaluation guideline for agricultural technical training.
THE EFFECTIVENESS OF THE LEARNING INSTRUCTIONAL MATERIALS MONITORING INFORMATION SYSTEM (SIMOP) AS A DECISION-MAKING INSTRUMENT WITHIN THE DEPARTMENT OF EDUCATION OF TAKALAR REGENCY Nurdin, Muhammad; Muhammad Yahya; Hasanah Nur
Jurnal Vokasi Keteknikan Vol 4 No 1 (2026): Maret 2026
Publisher : Pascasarjana Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/7t5ty610

Abstract

Digital transformation in educational governance necessitates monitoring systems that are effective, efficient, and accountable. This study aims to develop and evaluate the quality of a web-based Learning Tools Monitoring Information System (SIMOP) in Takalar Regency. The research employs a Research and Development (R&D) approach integrating the ADDIE, Prototype, Agile, and Waterfall models. System quality evaluation refers to the ISO/IEC 25010 standard established by the International Organization for Standardization (ISO). Data were collected through observations, interviews, and questionnaires administered to teachers, school principals, supervisors, and officials of the Department of Education. The results indicate that SIMOP falls within the “highly valid” category based on assessments of functional suitability, reliability, usability, portability, and security. The level of practicality reached 89.99%, while effectiveness achieved 91.82%. Teachers’ readiness was categorized as “highly ready” (90.35%), whereas responses from school principals and the Department of Education were 90.93% and 95%, respectively. The system has been proven to enhance efficiency, transparency, and accountability in monitoring instructional materials.
PRACTICALITY ANALYSIS OF MACHINE LEARNING-BASED GEOPHYSICS LEARNING MEDIA IN HIGHER EDUCATION Abd Mun'im Thariq; Hamsu Abdul Gani; Darmawang Darmawang
Jurnal Vokasi Keteknikan Vol 4 No 1 (2026): Maret 2026
Publisher : Pascasarjana Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/29jtjk64

Abstract

This study aims to analyze the level of practicality of machine learning-based geophysics learning media developed to support learning in higher education. This research uses a Research and Development approach with a focus on evaluating practicality through three stages of trials, namely individual, group, and field trials. The research subjects involved 104 students from UIN Alauddin Makassar and Makassar State University. The research instrument is in the form of an online questionnaire using a 4-point Likert scale that measures aspects of interest, ease of use, quality of instructors, and learning activities. The data was analyzed using descriptive statistics by calculating the average value and categorizing the level of practicality. The results of the study showed that the learning media developed had a high level of practicality, characterized by an increase in scores at each stage of the trial and all aspects were in the practical to very practical category. These findings show that the integration of machine learning is able to increase the ease of use and student involvement in geophysics learning. Thus, this learning media is suitable for use as an innovative alternative in supporting technology-based learning in higher education. This research contributes to the development of artificial intelligence-based learning media that is not only innovative, but also practical and applicative. Further research is suggested to test the effectiveness of media on learning outcomes and develop a more adaptive and integrated system.

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