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All Journal Jurnal Pendidikan Teknologi dan Kejuruan Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Mimbar Ilmu Journal of Vocational Education Studies JPTE: Jurnal Pendidikan Teknik Elektro Journal for Lesson and Learning Studies Indonesian Journal Of Educational Research and Review
Setyawan, Herlin
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Computer Science & IT Education Electrical & Electronics Engineering Engineering Social Sciences Other

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Effectiveness of E-Learning-Based Learning in the Era of Digital Transformation: A Meta-Analysis Setyawan, Herlin; Sukardi; Risfendra; Jalinus, Nizwardi; Mardizal, Jonni; Ananda, Gheri Febri
Indonesian Journal of Educational Research and Review Vol. 7 No. 2 (2024): July 2024
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/ijerr.v7i2.76166

Abstract

Amid digital transformation in the 21st century, the use of digital technology, such as e-learning, in the learning process has become urgent to develop vocational school students' knowledge and skills. However, some studies show that online learning is ineffective in improving vocational school students' knowledge and skills. Online learning cannot improve students' vocational skills because the online learning process cannot conduct actual practicum. Therefore, this study aims to analyze the effectiveness of online learning to improve vocational students' knowledge and skills. The research method used was random effect model meta-analysis with Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA) article analysis technique. A total of 25 articles from the Scopus, Google Scholar, and Wiley databases were obtained and analyzed in this study. The articles analyzed were free from publication bias, as indicated by the funnel plot, Egger's, and Fail-safe N test results. Based on the meta-analysis results, it is known that the effect size value obtained is 0.703 (medium category). Thus, implementing online learning in vocational schools has a moderate impact on improving vocational students' knowledge and skills. The findings of this study indicate that the implementation of online learning in vocational schools can support the effectiveness of learning in vocational schools and encourage students to develop the knowledge and skills they will master. This research is expected to be the basis for teachers and vocational schools to integrate online learning into the learning process.
Enhancing basic computer network learning outcomes of vocational high school students by implementing a video-based learning model Setyawan, Herlin; Sukardi, Sukardi; Diati, Lili Safitri; Fitri, Yolanda Idha; Ambiyar, Ambiyar; Rianto, Debi
Jurnal Pendidikan Teknologi Kejuruan Vol 7 No 1 (2024): Regular Issue
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jptk.v7i1.35023

Abstract

Many students still achieved scores below the minimal completeness criteria when learning basic computer networks. This was because the teacher still uses traditional media, such as printed worksheets in the teaching process which made the learning boring and harder for students to comprehend what the teacher was teaching. Therefore, this research aimed to implement video-based learning within the educational process. This study employed a pre-experiment methodology by using a single pre- and post-test group. Thirty-three students majoring in computer and network engineering served as the research subjects. The paired sample t-test and N-gain score were the data analysis methods employed to examine the efficacy of the video-based instruction. The results demonstrated a significant improvement from students' knowledge before to that of after being engaged in video-based learning. Thus, it is possible to conclude that a video-based instruction can greatly enhance students' understanding on fundamental computer network science. According to the study's findings, the video-based learning ought to be incorporated into the curriculum of vocational education, particularly in the Department of Computer Network Engineering, to ensure that the students fully comprehend the subject matter and that the learning process runs smoothly.
The Effectiveness of Outseal Programmable Logic Controller-based Training Kit to Improve Vocational High School Students' Control System Skills Setyawan, Herlin; Sukardi; Risfendra; Effendi, Hansi; Syahril
Mimbar Ilmu Vol. 29 No. 2 (2024): August
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/mi.v29i2.76065

Abstract

The problem in this study is that many students still have not mastered the skills of PLC-based control systems in accordance with the learning objectives. This is because the learning media is only a simulation using buttons and pilot lights without using the original components. The aims of this study is to examine and reveal the effectiveness of the outseal PLC-based PLC training kit in improving students' practical skills in PLC-based control systems. Pre-experiment one group pre-test and post-test is the research methodology used in this study, with a research sample of 32 students from the electrical power installation engineering department vocational school. The research data were collected using a skill assessment questionnaire and analyzed using paired sample t-test analysis technique and effect size test. The results revealed that the t-value obtained was 7.915 with a significance of 0.000 and a value of d = 1.701. These results show differences in students' skills after and before using the training kit that is applied and proven to improve student skills significantly. Thus, it is proven that this training kit effectively improves vocational students' skills. Based on these results, vocational high schools are expected to apply this training kit to facilitate learning and improve students' PLC-based control system skills.
Peningkatan Kompetensi Otomasi Mesin Industri menggunakan Human Machine Interface (HMI) untuk Guru Vokasi Sardi, Juli; Habibullah, Habibullah; Eliza, Fivia; Risfendra, Risfendra; Hendra, Ayu; Setyawan, Herlin
Jurnal Pendidikan Teknik Elektro Vol 6 No 1 (2025): Jurnal Pendidikan Teknik Elektro
Publisher : Jurusan Teknik Elektro Fakultas Teknik Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jpte.v6i1.530

Abstract

The enhancement of teachers' competencies in industrial automation technology is urgently needed to address the challenges of Industry 4.0. This study aims to measure the effectiveness of the training program Industrial Machine Automation Using Human Machine Interface (HMI) in improving teachers' competencies at SMK Negeri 5 Solok Selatan. The research employed a One Group Pre-test Post-test Design method, with data analysis conducted using the Paired Sample T-Test. A total of 20 teachers participated in the training, which consisted of theoretical sessions, software simulations, and hands-on practice with HMI hardware. The results indicated a significant improvement in participants' competencies, with the average score increasing from 55 in the pre-test to 83.25 in the post-test (p<0.05). The training effectively strengthened participants' conceptual understanding, programming skills, and troubleshooting abilities. Furthermore, the program was deemed relevant to the technological needs of vocational education, supporting the integration of automation technology into the vocational school curriculum. This study concludes that HMI training can serve as a strategic model for teacher competency development, contributing to improving vocational education quality. Recommendations include conducting advanced training sessions, enhancing collaboration with industry, and developing project-based curricula oriented toward modern technologies.
Peningkatan Produktifitas Teaching Factory Industrial Robotic and Automation sebagai Pusat Inovasi Peralatan Laboratorium Pendidikan Vokasi Risfendra, Risfendra; Sukardi, Sukardi; Sardi, Juli; Habibullah, Habibullah; Hendra, Ayu; Setyawan, Herlin
Jurnal Pendidikan Teknik Elektro Vol 6 No 1 (2025): Jurnal Pendidikan Teknik Elektro
Publisher : Jurusan Teknik Elektro Fakultas Teknik Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jpte.v6i1.531

Abstract

The Teaching Factory Industrial Robotics and Automation ( TEFA IRA) at Universitas Negeri Padang (UNP) represents an innovative vocational education model integrating practice-based learning with real-world production activities. As an innovation hub, TEFA IRA produces laboratory equipment to support vocational learning, trains vocational high school (SMK) teachers, and enhances student competencies to meet the workforce's demands in the Fourth Industrial Revolution era. This study evaluates the productivity of TEFA IRA by analysing operational processes, the impact of teacher training, student learning experiences, product relevance, and collaboration with industry partners. The research employs a mixed-methods approach, combining qualitative and quantitative techniques with data collected through observation, interviews, surveys, and document analysis. The results indicate that TEFA IRA successfully produced 25 units of laboratory equipment with a 92% success rate. Training for SMK teachers improved their technology mastery scores from 3.2 to 4.1 (on a 5-point scale), while 90% of students reported that their learning experiences were relevant to workforce demands. Collaboration with industry partners reached an active involvement rate of 87%, including contributions to technology and technical training. However, TEFA IRA faces challenges, such as limited specialised expertise, the need for updated training modules, and the optimisation of facilities. Support from Universitas Negeri Padang is essential to address these challenges through strategic policies, facility enhancements, and strengthened industry partnerships. Overall, TEFA IRA has successfully established itself as an innovative and relevant Teaching Factory model for vocational education in Indonesia. This program holds significant potential to be further developed as a pioneer in technology-driven vocational education with global competitiveness.
Impact of Using Electro-pneumatic Training Kit on Improving Industrial Control System Skills of Vocational High School Students Setyawan, Herlin; Sukardi, Sukardi; Rahayu, Wiwik; Risfendra, Risfendra; Jalinus, Nizwardi; Mardizal, Jonni
Journal of Vocational Education Studies Vol. 8 No. 1 (2025): Vol 8 No 1
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/joves.v8i1.9449

Abstract

Practical learning using simulation applications makes students unable to create natural industrial control systems, so the impact of the immaturity of practical skills that students must master becomes a problem in this study. Using simulation applications, students are only faced with ideal conditions and symbols of each component, so students cannot know the actual components of an industrial control system and how to solve real problems in this system. This study aims to examine the impact of using electro-pneumatic training kits in an industrial control system practicum. The actual experimental research method used in the study consisted of an experimental class with 28 students and a control class of 25 people. Data collection techniques used skill assessment rubrics with data analysis techniques, including independent t-tests and effect sizes. The results revealed a significant difference in the skills of experimental class students with the control class, where experimental class students had better skills. From the results of the effect size test, it is known that the electro-pneumatic training kit significantly improves students' industrial control system skills. Based on these results, the electro-pneumatic training kit proved to be a transformational educational tool, significantly improving students' skills in industrial control systems. The implication of this study is for schools to integrate technology-based training tools such as electro-pneumatic training kits; vocational education can provide practical experience that is more relevant to industry needs, improve students' work readiness, and strengthen technical skills that are urgently needed in today's modern job market and industrial world.
Deep Learning-Based Waste Classification with Transfer Learning Using EfficientNet-B0 Model Risfendra, Risfendra; Ananda, Gheri Febri; Setyawan, Herlin
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 8 No 4 (2024): August 2024
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v8i4.5875

Abstract

Recycling of waste is a significant challenge in modern waste management. Conventional techniques that use inductive and capacitive proximity sensors exhibit limitations in accuracy and flexibility for the detection of various types of waste. Indonesia generates approximately 175,000 tons of waste per day, highlighting the urgent need for efficient waste management solutions. This study develops a waste classification system based on deep learning, leveraging the powerful EfficientNet-B0 model through transfer learning. EfficientNet-B0 is designed with a compound scaling method, which uniformly scales network depth, width, and resolution, providing an optimal balance between accuracy and computational efficiency. The model was trained on a dataset containing six classes of waste—glass, cardboard, paper, metal, plastic, and residue—totalling 7014 images. The model was trained using data augmentation and fine-tuning techniques. The training results show a test accuracy of 91.94%, a precision of 92.10%, and a recall of 91.94%, resulting in an F1-score of 91.96%. Visualization of predictions demonstrates that the model effectively classifies waste in new test data. Implementing this model in the industry can automate the waste sorting process more efficiently and accurately than methods based on inductive and capacitive proximity sensors. This study underscores the significant potential of deep learning models, particularly EfficientNet-B0, in industrial waste classification applications and opens opportunities for further integration with sensor and robotic systems for more advanced waste management solutions.
Improving the Competence of Electrical Power Installation Engineering Teachers in the Field of Smart Building Control Systems Setyawan, Herlin; Habibullah; Risfendra; Sardi, Juli; Maulana, Ricky; Mulya, Rudi
Mimbar Ilmu Vol. 30 No. 1 (2025): April
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/mi.v30i1.88131

Abstract

The problem addressed in this study is the mismatch between teachers’ existing competencies and the demands of the industry, particularly in smart building control systems, resulting in graduates lacking these essential skills. This study aims to enhance teachers’ professional competencies in smart building control systems through targeted training using smart building technology. A pre-experimental method was employed with one experimental class consisting of 16 teacher participants, using tests to assess knowledge and questionnaires to evaluate skills. The results were analyzed using paired-sample t-tests and effect size calculations, revealing significant improvements in both teachers’ knowledge and skills after the training. Furthermore, the large effect size indicates that the training had a substantial impact on enhancing competencies. These findings suggest that structured and precise training can effectively improve teachers’ knowledge and skills in emerging industrial technologies, which in turn positively influences the quality of education and increases graduates’ competitiveness in the labor market.
Effectiveness of Trainer-Kit in the Learning Process in Vocational Education Effendi, Hansi; Oktageri, Deris; Setyawan, Herlin; Aulia, Wiwinda
Journal for Lesson and Learning Studies Vol. 8 No. 2 (2025): July
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/jlls.v8i2.92579

Abstract

Vocational learning processes are still dominated by one-way and theoretical teaching, thereby limiting the development of practical competencies and impacting learning outcomes. Trainer kits are used as learning media to support practice and reduce the abstraction of technical concepts. However, previous research findings on their effectiveness have been inconsistent due to contextual limitations, small samples, and variations in research design. This study aims to analyze comprehensively the effectiveness of trainer kit implementation in vocational education through a meta-analysis approach. A total of 436 articles were initially screened from Scopus and Google Scholar databases, and 22 eligible studies involving 24 independent samples were selected based on inclusion criteria. Data analysis employed the random-effects Hedges’ model with the PRISMA procedure, focusing on effect sizes derived from post-test results of experimental and control groups. The meta-analysis revealed an average effect size of 2.44, categorized as large, confirming the significant positive impact of trainer kits on cognitive, psychomotor, and affective learning domains. The findings demonstrate that trainer kits not only improve academic achievement but also enhance learning motivation and creative thinking skills. This study concludes that trainer kits are highly effective instructional media in vocational education and emphasizes the importance of their systematic integration into teaching practices. The results provide evidence-based implications for educators and policymakers to design innovative learning strategies and develop vocational curricula aligned with industry demands and 21st-century skills.  
Co-Authors Ambiyar, Ambiyar Ananda, Gheri Febri Aulia, Wiwinda Diati, Lili Safitri Fitri, Yolanda Idha Fivia Eliza Habibullah Habibullah Hansi Effendi Hendra, Ayu Juli Sardi Mardizal, Jonni Nizwardi Jalinus Oktageri, Deris Rianto, Debi Risfendra Risfendra, Risfendra Rudi Mulya Solly Aryza Sukardi Sukardi Syahril Veithzal Rivai Zainal Wiwik Rahayu