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INDONESIA
JPTK: Jurnal Pendidikan Teknologi dan Kejuruan
Published by Universitas Negeri Yogyakarta
ISSN : 08544735     EISSN : 24772410     DOI : -
Core Subject : Education,
Other
Jurnal Pendidikan Teknologi dan Kejuruan (JPTK) is a journal of Technical and Vocational Education and Training (TVET) which is a double-blind peer-reviewed journal. The journal invites authors throughout the world to exchange and disseminate theoretical and practice-oriented topics relevant to: (1) teaching and learning in TVET, (2) evaluation, assessment and certification in TVET, (3) human resources management in TVET, (4) vocational education resources in TVET and (5) contemporary issues in TVET
Arjuna Subject : -
Articles 386 Documents
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Singular Value Decomposition in Machine Leaning for Image Compression in Vocational Tourism Batik Archiving Putu Sudira; Yoga Sahria; Nuryake Fajaryati; Septian Rahman Hakim; Stevanus Widuri Nursusanto; Mohamad Hidir Mhd Salim; Rahayu Fuji Astuti
Jurnal Pendidikan Teknologi dan Kejuruan Vol. 31 No. 2 (2025): (October)
Publisher : Faculty of Engineering, Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jptk.v31i2.95700

Abstract

The digital archiving of batik products in vocational tourism environments requires efficient image compression techniques that maintain critical visual information, including complex motifs, color patterns, and texture details. This study aims to investigate the application of Singular Value Decomposition (SVD) as a machine learning based approach for image compression in the digital archiving of batik products from the Sundhullangit Batik Vocational Tourism Village. An experimental research design was adopted using digital batik images obtained through direct image acquisition. The research stages comprised image pre-processing, image compression using a truncated Singular Value Decomposition model with varying rank values, and reconstruction of the compressed images. The performance of the compression model was evaluated using objective image quality metrics, namely Mean Squared Error, Peak Signal-to-Noise Ratio, and Structural Similarity Index, while compression efficiency was measured using the compression ratio. The results indicate that higher rank values enhance reconstructed image quality, reflected by lower reconstruction error and higher structural similarity, but reduce compression efficiency. Conversely, lower rank values achieve higher compression ratios at the cost of reduced visual fidelity. Overall, the findings demonstrate that Singular Value Decomposition offers an effective balance between image quality preservation and data size reduction. This study concludes that the proposed method is suitable for supporting sustainable and high-quality digital archiving of batik products within vocational tourism-based cultural heritage systems.
Impacts of Artificial Intelligence Integration on Teaching Practices and Student Engagement in Digitally Transformed Educational Settings Heri Nurdiyanto; Leonel Hernandes; Aktansi Kindiasari
Jurnal Pendidikan Teknologi dan Kejuruan Vol. 31 No. 1 (2025): (May)
Publisher : Faculty of Engineering, Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jptk.v31i1.96073

Abstract

This study explores how the integration of artificial intelligence (AI) into digitally transformed educational settings reshapes everyday teaching practices and influences student engagement in real learning contexts. Rather than treating AI as a standalone technological upgrade, the study situates its use within the broader transformation of digital learning environments, where platforms, automated tools, and data-driven systems increasingly mediate classroom interactions. The findings show that AI integration gradually shifts the role of teachers from primarily delivering content toward designing learning experiences, guiding students’ learning processes, and responding to more diverse patterns of participation. In practice, AI-supported tools help streamline routine instructional tasks, open space for more personalized interaction, and provide timely support to students with different learning needs. At the same time, the results indicate that student engagement does not automatically improve simply because AI is introduced. Engagement grows when AI tools are meaningfully aligned with pedagogical goals, integrated into everyday learning activities, and supported by teachers’ readiness to adapt their instructional strategies. The study also highlights emerging tensions, including uneven levels of student participation, varying degrees of teacher confidence in using AI-based systems, and concerns about over-reliance on automated support. Overall, the findings suggest that the impact of AI in digitally transformed educational settings is shaped less by the technology itself than by how it is embedded in teaching practices and learning cultures, pointing to the importance of thoughtful integration in sustaining meaningful student engagement.
Slope Stability Analysis Using GeoStudio-Based Finite Element Method Lusi Dwi Putri; Violla De Boyosa
Jurnal Pendidikan Teknologi dan Kejuruan Vol. 31 No. 2 (2025): (October)
Publisher : Faculty of Engineering, Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jptk.v31i2.96604

Abstract

The landslide disaster in Nagari Aia Dingin, Lembah Gumanti District, Solok Regency is strongly associated with anthropogenic and natural factors, particularly mining activities and prolonged high-intensity rainfall. These conditions have significantly altered slope geometry and reduced soil stability. This study aims to evaluate soil characteristics, determine the factor of safety, and propose appropriate mitigation strategies for slope failure. A quantitative approach was adopted through laboratory testing and numerical simulation using GeoStudio. The results indicate that the soil is classified as silty sand with poor gradation. The calculated factor of safety values under slope variations of 30°, 45°, and 60° are consistently below 1.5, indicating unstable slope conditions. Therefore, the study highlights the urgent need for slope stabilization measures to mitigate future landslide risks.
A Collaboration Context of Vocational Andragogy for People with Disabilities in Indonesia Yohannes Marryono Jamun; Bayu Rahmat Setiadi; Apri Nuryanto; Angga Damayanto; Anggi Tias Pratama
Jurnal Pendidikan Teknologi dan Kejuruan Vol. 31 No. 2 (2025): (October)
Publisher : Faculty of Engineering, Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jptk.v31i2.95741

Abstract

This research focuses on demonstrating the role of tertiary education institutions in developing the vocational abilities of people with disabilities by developing and implementing a vocational andragogy model. The research method uses a mixed technique. The research participants were 30 people with physical disabilities from a local disability organisation. The results showed that tertiary education played a driving role in local disability organisations, which in turn affected other organisations. This strategy can be implemented by fostering vocational andragogy through self-reflection, the design of conceptual practice, sharing experiences and discussion, role-playing-based contextual co-working to solve problems, coaching on the output of discussion, and agreement on implementation. The importance of vocational andragogy is especially evident in its ability to foster a learning climate that is fun, contextual, and effective at helping participants hone their vocational skills independently and in a relevant way.
The Impact of Augmented Reality-Based Automatic Transmission (ATAR) on Improving Technical Maintenance Skills in Automotive Systems Komarudin Komarudin; Sudirman Ariyanto; Erwin Mindarta; Mahfudi Subandi
Jurnal Pendidikan Teknologi dan Kejuruan Vol. 32 No. 1 (2026): (May)
Publisher : Faculty of Engineering, Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jptk.v32i1.88368

Abstract

Vocational education requires innovation in teaching media to improve student competency, especially in the automotive field, where the limitations of expensive physical equipment often constrain the training of automatic transmissions. However, technology-based solutions such as Augmented Reality (AR) have not been widely explored to overcome this problem. This study aims to analyze the effectiveness of Augmented Reality-based Automatic Transmission (ATAR) teaching media in improving student learning outcomes at the Suzuki Training Center, Universitas Negeri Malang. Quantitative methods were used by comparing pretest and posttest scores to measure improvements in understanding and practical skills. The results showed a significant increase, proving ATAR as an effective learning medium (6). The implication is that ATAR not only overcomes the limitations of physical equipment but also has the potential to transform vocational training by preparing an adaptive workforce in the automotive industry. The uniqueness of this study lies in the development of ATAR as an immersive and interactive solution that has not been widely applied in the context of automatic transmission training.
Solar-Powered Embedded Monitoring and Control System for Automated Livestock Health Management Syamsyarief Baqaruzi
Jurnal Pendidikan Teknologi dan Kejuruan Vol. 32 No. 1 (2026): (May)
Publisher : Faculty of Engineering, Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jptk.v32i1.96272

Abstract

Automation is gaining significance in human life. As more daily duties are automated, the integration of automation systems in healthcare, construction, computers, agriculture, and animal husbandry becomes more apparent. A superior automation system can improve the efficiency and accuracy of monitoring cattle health while reducing human error. This automated cow monitoring system is designed to maximize the efficacy of cattle farming. This study employs solar cells to power contemporary livestock enclosures. This research will enhance the quality of cattle for national and regional food security and support the government's plan for renewable energy. The control system activates actuators based on data from the livestock pen. Cows' movement, as measured by sensors ADXL335, can complete 73 steps at a rate of 2.4 steps per minute. Subsequently, cow temperature, as measured by sensor MLX90614, occurs within the range of 36-36.5°C, and both produce accurate and satisfactory results. The incorporated cowshed receives 50.72 Wh of the 304.32 W generated by the solar cell panel system. It can output electrical power that can be utilized to power the cage automation and control system power supply. This study provides stable-based cattle ranchers with a reference for large-scale health monitoring

Page 39 of 39 | Total Record : 386

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