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All Journal International Journal of Evaluation and Research in Education (IJERE) JPTK: Jurnal Pendidikan Teknologi dan Kejuruan
Mhd Salim, Mohamad Hidir
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Singular Value Decomposition in Machine Leaning for Image Compression in Vocational Tourism Batik Archiving Sudira , Putu; Sahria, Yoga; Fajaryati, Nuryake; Hakim, Septian Rahman; Nursusanto, Stevanus Widuri; Mhd Salim, Mohamad Hidir; Astuti, Rahayu Fuji
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.
Policies and governance for skills development in the fourth industrial revolution Saari, Mohd Aizuddin; Jalaludin, Nur Atiqah; Rasul, Mohamad Sattar; Mhd Salim, Mohamad Hidir; Ashari, Zool Hilmi Mohamed
International Journal of Evaluation and Research in Education (IJERE) Vol 15, No 2: April 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijere.v15i2.29177

Abstract

The fourth industrial revolution (4IR) has intensified policy concerns regarding the capacity of technical and vocational education and training (TVET) systems to support future workforce development. While national strategies increasingly emphasize skills development for industry 4.0, less attention has been paid to the governance mechanisms that shape policy coherence and implementation. This study examines skills governance within Malaysia’s TVET system, focusing on how policy alignment, quality assurance (QA), institutional coordination, and industry engagement influence workforce readiness for the 4IR. Adopting a qualitative approach, data were collected through focus group discussions (FGD) with key stakeholders from government agencies, industry, and TVET institutions, and analyzed thematically. The findings identify four key governance dimensions which are security procedures and policies in managing skills data, QA and standards, collaboration policy between institution and industry, and strengthens curriculum developments. Despite strong policy commitments, fragmented governance arrangements continue to constrain the effectiveness of skills development initiatives. By reframing skills development as a governance challenge, this study contributes to policy futures debates and offers insights for strengthening integrated and future-ready TVET governance frameworks in developing economies undergoing rapid socio technical transformation.
Co-Authors Ashari, Zool Hilmi Mohamed Jalaludin, Nur Atiqah Nursusanto, Stevanus Widuri Nuryake Fajaryati Rahayu Fuji Astuti Rasul, Mohamad Sattar Saari, Mohd Aizuddin Septian Rahman Hakim Sudira , Putu Yoga Sahria