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All Journal JPTK: Jurnal Pendidikan Teknologi dan Kejuruan Jurnal Informatika dan Teknik Elektro Terapan Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JURNAL MEDIA INFORMATIKA BUDIDARMA Anterior Jurnal Simtek : Jurnal Sistem Informasi dan Teknik Komputer Jurnal Teknologi Informasi dan Pendidikan Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Progresif: Jurnal Ilmiah Komputer JASIEK (Jurnal Aplikasi Sains, Informasi, Elektronika dan Komputer) ILKOMNIKA: Journal of Computer Science and Applied Informatics Jurnal Abdi Insani Dimasejati: Jurnal Pengabdian Kepada Masyarakat Jurnal Pengabdian Masyarakat Multidisiplin International Journal of Engineering, Science and Information Technology HOAQ (High Education of Organization Archive Quality) : Jurnal Teknologi Informasi Jurnal Teknologi Sistem Informasi dan Sistem Komputer TGD Journal of Research in Social Science and Humanities NUSRA: Jurnal Penelitian dan Ilmu Pendidikan Prosiding University Research Colloquium Malcom: Indonesian Journal of Machine Learning and Computer Science Jurnal Pengabdian Masyarakat Tapis Berseri Internet of Things and Artificial Intelligence Journal Jurnal Lentera Pengabdian Surya Informatika JRIIN :Jurnal Riset Informatika dan Inovasi Jurnal Rekayasa Sistem Informasi dan Teknologi Jurnal Sains Komputer dan Sistem Informasi SmartComp Nusantara Journal of Multidisciplinary Science Prosiding Seminar Nasional Unimus Economic and Education Journal (Ecoducation) Informasi interaktif : jurnal informatika dan teknologi informasi Prosiding SeNTIK STI&K Ecoducation Advance Sustainable Science, Engineering and Technology (ASSET)
Yoga Sahria
Universitas Negeri Yogjakarta
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Application of Singular Value Decomposition for Image Compression of Yogyakarta Cosmological Axis in Digital Learning in Vocational Education Sahria, Yoga; Sudira, Putu; Salim, Mohamad Hidir Mhd
International Journal of Engineering, Science and Information Technology Vol 6, No 1 (2026)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v6i1.1732

Abstract

This study examines the application of the Singular Value Decomposition (SVD) method as a digital image compression technique on the Yogyakarta Cosmological Axis object which is used as a digital learning medium in vocational education. The background of this study is based on the need for high-quality visual media with efficient file sizes for easy storage, transmission, and access through digital-based learning systems. The study uses an experimental quantitative approach with data in the form of high-resolution digital images processed through SVD-based compression stages. The research procedure includes image transformation into matrix form, matrix decomposition using SVD, selection of a number of dominant singular values (ranks), and reconstruction of the compressed image. The research data were analyzed using image quality evaluation parameters, namely Mean Squared Error (MSE), Peak Signal-to-Noise Ratio (PSNR), Structural Similarity Index (SSIM), and Compression Ratio (CR). The results show that an increase in the rank value is directly proportional to an increase in the quality of the reconstructed image, as indicated by a decrease in the MSE value and an increase in the PSNR and SSIM values. Conversely, a decrease in the rank value results in a higher compression rate but is followed by a degradation in the visual quality of the image. Experimental data also shows that most of the visual information of an image can be represented by a small number of principal singular values, thus allowing for significant file size reduction without losing the important visual structure of the image object. Visually, the compressed image at a medium rank value is still considered suitable for use as a learning medium because the main details, object contours, and visual characteristics of the Yogyakarta Cosmological Axis can still be recognized well. These findings prove that the SVD method is effective as a mathematical-based image compression technique to support the development of efficient, informative, and contextual digital learning media based on local wisdom in vocational education
Development of Augmented Reality-Based Anatomy Learning Media (ARANOMI) for Vocational Health Students Sahria, Yoga; Utami, Edwina Nur
MALCOM: Indonesian Journal of Machine Learning and Computer Science Vol. 6 No. 1 (2026): MALCOM January 2026
Publisher : Institut Riset dan Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57152/malcom.v6i1.2374

Abstract

This study aims to develop and implement the Augmented Reality Anatomy and Physiology (ARANOMI) application as an innovative learning medium in nursing education, specifically for understanding anatomy and physiology and promoting the practice of clean and healthy living (PHBS). The application is designed as a mobile-based platform supported by WebAR and contains content such as 3D organ models, explanations of physiological functions, and integrated PHBS education. The research employed a Research and Development (R&D) approach, consisting of stages of design, development, and implementation. The implementation results among nursing students showed a positive impact on their understanding and learning motivation. Based on the evaluation, 87% of students reported that learning became more engaging, while 82% stated they felt more motivated to study anatomy and physiology. In addition, most students actively participated in group discussions and independent exploration through the application. Student enthusiasm indicates that ARANOMI provides a more realistic, interactive, and contextual learning experience. However, several technical challenges were identified, including long loading times for 3D models on low-specification devices and dependence on a stable internet connection. This study concludes that the ARANOMI application effectively supports the anatomy and physiology learning process using augmented reality technology, enhances student engagement.
Perancangan User Interface (UI) Aplikasi Mobile “Genting” Sebagai Media Pelaporan Layanan Darurat Sahria, Yoga; Pasa, Ike Yunia; Febriarini, Nurul Isnaini; Khairi, Fakhri
Smart Comp :Jurnalnya Orang Pintar Komputer Vol 12, No 3 (2023): Smart Comp: Jurnalnya Orang Pintar Komputer
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/smartcomp.v12i3.4173

Abstract

Layanan darurat merupakan suatu layanan yang diberikan oleh suatu organisasi untuk menjamin keselamatan umat. Kualitas suatu layanan di sebuah kota dapat mempengaruhi tingkat keselamatan jiwa manusia. Apabila layanan darurat sudah bagus maka pertumbuhan angka kematian tidak akan terlalu meningkat. Setiap organisasi membutuhkan suatu aplikasi yang dapat terhubung dengan masyarakat. Dengan adanya aplikasi layanan darurat maka organisasi dapat dengan mudah untuk terhubung dengan masyarakat. Desain interface merupakan tahap dasar dalam merancang sebuah aplikasi. Desain interface yang bagus dapat memudahkan pengguna dalam pengoperasikannya. Aplikasi mobile ini menggunakan sistem operasi android. Desain yang dihasilkan meliputi pemetaan kebutuhan pengguna, dan desain user interface. Adanya desain user interface aplikasi mobile ini diharapkan dapat membantu masyarakat untuk dapat terhubung dengan organisasi yang memberikan layanan darurat dengan mudah.
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.
Artificial Intelligence for Competency-Based Assessment in Vocational Education Mofu, Alfred Michel; Sari, Praramadini; Saroh, Vetin Yumita; Fajaryati, Nuryake; Utami, Pipit; Sahria, Yoga
Journal of Research in Social Science and Humanities Vol 5, No 3 (2025)
Publisher : Utan Kayu Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47679/jrssh.v5i4.564

Abstract

The rapid adoption of artificial intelligence in education has increasingly influenced research in technical and vocational education and training (TVET). However, much of the existing literature focuses primarily on prediction-oriented learning analytics rather than on competency-based assessment frameworks that are central to vocational education. This study investigates how artificial intelligence has been applied within vocational education research and examines the extent to which competency-based assessment principles are represented in literature. A systematic literature review was conducted using the PRISMA protocol, combined with layered bibliometric mapping using VOSviewer to explore structural and conceptual patterns in the research field. The dataset was constructed from Scopus-indexed journal articles published between 2020 and 2025. Bibliometric results indicate that machine learning, deep learning, and educational data mining dominate the research landscape, while competency constructs remain relatively peripheral. The thematic synthesis further reveals limited attention to authentic performance modeling and explainable artificial intelligence within assessment contexts. In response to these gaps, the study proposes a conceptual framework for AI-supported competency-based assessment in vocational education that integrates construct-grounded modeling, authentic performance analytics, and explainable decision architectures. The framework provides a conceptual foundation for aligning artificial intelligence technologies with competency-oriented evaluation in vocational learning environments.
Co-Authors Abdurrahman Yusuf Wijasena Aditiya Ramputra Pratama AINI HIDAYATI Amrulloh, Faiz Nazhir Annisa Rachman Ariadanu, Bian Khusharyanto Bagas Satria Tri Wicaksana Budi Santosa Budi Santosa Cahyo Anggoro Da Yuan, Ferdinansyah Dhomas Hatta Fudholi Diya Almustofa Al Banatusi Dwi Budi Santoso Edwina Nur Utami Fadyla, Maura Fara Fakhri Khairi Fatra Rulyan Adha Febriarini, Nurul Isnaini Firmansyah, Daffa Fudholi, Dhomas Hatta Gugum Saefuloh Zidni Hakiki, Rofik Haryoko Haryoko Hasani, M. Iqbal Ike Yunia Pasa Ilham, Muhamad Imam Ilmira Yulfihani Iskandar, Muhaimin Isnaini Febriarini, Nurul Kartikaningsih Kartikaningsih Khairi, Fakhri Khomaeni, Nasrullah Kusumawardhana, Ap Massri M Lintang Ardi Avdillah Mhd Salim, Mohamad Hidir Mochamad Bruri Triyono Mofu, Alfred Michel Muchlas Muchlas Muclas, Muclas Muhamad Rico Aditya Prayoga Muhammad Hafidz Muhammad Hafidz, Muhammad Mutiara Nugraheni Nur Azizah Nur Azizah Nurjaman, Muhammad Nursusanto, Stevanus Widuri Nurul Isnaini Febriarini Nurul Isnaini Febriarini Nuryake Fajaryati Pardjono, P. Pipit Utami Piskonata, Yogi Pramesti , Sekar Pratiwi Wulandarib Prihandini, Tinesa Fara Prihandini, Tinesa Fara Priyanto Priyanto, Priyanto Purnomo, Muhamad Tito Putu Sudira Putu Sudira Putu Sudira Rachman, Annisa Rahayu Fuji Astuti Rahma Nurul Fauziah Retno Prihatini Reza Saputra, Reza Sahria, Bela Fataya Azmi Yoga sahwari, Sahwari Salim, Mohamad Hidir Mhd Saputra, Yodhi Anugrah Damar Sari, Praramadini Saroh, Vetin Yumita Sekarningrum, Anggun Anindya Septian Rahman Hakim Septiono Eko Bawono Septiono Eko Bawono Sri Mulyani Sudira , Putu Sugiman, Zam Afuw Imama Sulaeman, Hielmi Suwardi Suwardi Syahaddan, Muhamad Maulana Tinesa Fara Tri Kuat, Tri Utami, Afifah Nur Visco Adam Bramasta Wahyudi, Rudhi Widodo Widodo, Widodo Wijayanto, Ristu Aji Wilda Sa’adah William Prapdeson Laksono Winarso, Didik Wulansari, Alfianda Suci Yodhi Anugrah Damar Saputra Zam Afuw Imama Sugiman Zukhrian Shafarazaq