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Employability skills and self-perception of diploma 3 graduates in the world of work Rina Febriana; Ivan Hanafi; Annis Kandriasari; Apri Nuryanto; Soeprijanto Soeprijanto; Muksin Muksin; Su Jo Ching; Abu Bakar Mamat
Jurnal Pendidikan Vokasi Vol. 13 No. 2 (2023)
Publisher : ADGVI & Graduate School of Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jpv.v13i2.54039

Abstract

This study aims to determine the world's perception of Diploma 3 graduates regarding work skills. The research used a questionnaire survey method on Diploma 3 graduates who had worked for 2-5 years. Measurement of work aspects includes individual qualities, basic skills, interpersonal skills, thinking skills, resource management, systems and technology, and information skills. The instrument's validity in each aspect ranges from 0.416 to 0.683, with a reliability of 0.882. The research technique used simple random sampling with 109 respondents in this study. The results of the study stated that the self-perception of graduates are (1) an individual quality score of 85.5 with a very high interpretation; (2) basic skills get a score of 81.8 with a high interpretation; (3) an interpersonal score of 84.8 with a very high interpretation; (4) thinking skills get a score of 83.1 with a very high interpretation; (5) resource management obtained a score of 88.6 with a very high interpretation; (6) systems and technology got a score of 92.4 with a very high interpretation, and (7) information skills got a score of 85.1 with a very high interpretation. Thus, the average worldwide employment of Diploma 3 graduates is 85.9, with a high interpretation. This finding implies that the higher graduates' employability skills, the higher their self-perception at work.
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.
Uncovering Vocational Students' Internship Skills Instruments to Improve Employability in the Hospitality Industry Rina Febriana Hendrawan; Ivan Hanafi; Yeni Yulianti; Rita Patriasih
International Journal of Engineering, Science and Information Technology Vol 6, No 2 (2026)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v6i2.1547

Abstract

Employee performance is a crucial determinant of success in the competitive hospitality industry. Vocational education institutions are therefore required to prepare students with technical expertise and employability competencies aligned with authentic workplace demands. This study aims to develop an industry-informed internship assessment instrument for evaluating vocational students’ employability-related competencies in the hospitality sector. A qualitative instrument-development design integrated a semi-systematic literature review, two rounds of Focus Group Discussions (FGDs), and preliminary expert review. The literature review synthesized 68 studies to establish the initial conceptual basis and candidate employability indicators. Industry consultation involved 20 human resource managers and training supervisors from 15 hotels in Jakarta, while five vocational education lecturers with internship supervision experience participated in the expert review. Qualitative content analysis was used to identify, refine, organize, and contextualize indicators according to hospitality workplace expectations. The final instrument comprises five domains: Communication Skills, Collaboration and Teamwork, Self and Character Development, Professional Ethics, and Creativity and Innovation, represented by 30 behavioral indicators assessed using a 10-point performance rating scale with behavioral descriptors. The development process resulted in substantive refinement, including replacing Problem Solving and Decision Making with Self and Character Development because vocational interns have limited authority to make independent workplace decisions. The study contributes an industry-informed and context-sensitive approach by translating broad employability concepts into observable workplace behaviors. The instrument provides a practical basis for internship supervision, formative feedback, curriculum alignment, and university–industry collaboration. Further psychometric validation is required to establish its reliability and construct validity.