Article Per Year (5 Year)
p-Index From 2021 - 2026
8.017
P-Index
This Author published in this journals
All Journal International Journal of Evaluation and Research in Education (IJERE) Jurnal Pendidikan Karakter Jurnal Pendidikan Vokasi Cakrawala Pendidikan Jurnal Penelitian dan Evaluasi Pendidikan JPTK: Jurnal Pendidikan Teknologi dan Kejuruan Jurnal Pendidikan dan Pengajaran Jurnal Pendidikan Indonesia Harmonia: Journal of Research and Education Lembaran Ilmu Kependidikan Journal of Educational Science and Technology ELINVO (Electronics, Informatics, and Vocational Education) Edukasi: Jurnal Pendidikan JURNAL DINAMIKA VOKASIONAL TEKNIK MESIN Jurnal Penelitian Pendidikan IPA (JPPIPA) Journal of Educational Research and Evaluation Journal of Education Technology Progresif: Jurnal Ilmiah Komputer ILKOMNIKA: Journal of Computer Science and Applied Informatics Journal of Vocational Education Studies (JOVES) Jurnal Pendidikan dan Kebudayaan International Journal of Engineering, Science and Information Technology Jumat Pendidikan: Jurnal Pengabdian Masyarakat Indonesian Journal Of Educational Research and Review Jurnal Media Computer Science Malcom: Indonesian Journal of Machine Learning and Computer Science Jurnal Pengabdian Masyarakat Tapis Berseri Inisiatif: Jurnal Dedikasi Pengabdian Masyarakat Advance Sustainable Science, Engineering and Technology (ASSET) DIMASEJATI:Jurnal Pengabdian Kepada Masyarakat
Putu Sudira
Universitas Negeri Yogyakarta
Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Public Health Social Sciences Transportation Other

Published : 79 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 79 Documents
Search

 4   5   6   7   8 
A CIPP evaluation of the East Kalimantan dual track culinary arts program: Inter-school disparities and outcome convergence Stevanus Widuri Nursusanto; Putu Sudira; Septian Rahman Hakim; Nuryake Fajaryati; Robertus Vembry Mahartantyo
Jurnal Pendidikan Vokasi Vol. 15 No. 2 (2025)
Publisher : ADGVI & Graduate School of Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jpv.v15i2.99971

Abstract

Senior high school (SMA) graduates remain the largest contributor to open unemployment in East Kalimantan Province, revealing a structural gap between general secondary education and labor-market demands. The provincial Dual Track Program in Culinary Arts integrates 120 hours of vocational training into the senior high school curriculum to address this challenge. This study provides the first province-wide evaluation of the program using the Context–Input–Process–Product (CIPP) framework. A quantitative cross-sectional census was conducted across all 39 implementing schools, involving 331 students and 52 trainers. Data were collected using content-validated questionnaires with excellent reliability and analyzed using JASP. The results indicate that Process is the strongest predictor of Product outcomes (β = .474), explaining a substantial proportion of variance (R² = .672), while Cohort II achieved significantly better implementation outcomes than Cohort I. Although schools differed significantly in Context, Input, and Process, student Product outcomes remained statistically comparable, suggesting that the program promotes relatively equitable learning outcomes despite disparities in school resources. This study contributes the first multivariate empirical evaluation of the East Kalimantan Dual Track Program and demonstrates the central role of implementation quality in achieving equitable vocational outcomes. The findings provide practical guidance for prioritizing trainer development and mentoring over additional equipment procurement and may inform vocational policy in regions facing similar educational and labor-market challenges.
Pelatihan Artificial Intelligence Untuk Meningkatkan Kapasitas Inovasi Pembelajaran Vokasional Kepala Sekolah SMK Di Provinsi Bali Yoga Sahria; Putu Sudira; Ayu Niza Machfauzia
Inisiatif : Jurnal Dedikasi Pengabdian Masyarakat Vol 5 No 1 (2026): Inisiatif : Jurnal Dedikasi Pengabdian Masyarakat
Publisher : Pusmedia Group Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61227/inisiatif.v5i1.812

Abstract

Digital transformation in vocational education requires vocational school principals to be competent in utilizing Artificial Intelligence (AI) to improve the quality of learning and school management. However, understanding and skills in utilizing AI among principals are still diverse, so a capacity building program that is relevant to field needs is needed. This Community Service (PkM) activity aims to improve the literacy, skills, and motivation of vocational school principals in Bali Province in developing AI-based vocational learning innovations. The activity was carried out at the Bali Provincial Education, Youth, and Sports Office and involved 30 top vocational school principals representing various regencies/cities in Bali. The Participatory Action Research (PAR) method used included training, demonstrations, hands-on practice, group discussions, and mentoring in developing follow-up plans for AI implementation in schools. Training materials included the use of generative AI, NotebookLM, digital learning media development, interactive presentations, and learning simulation games. Evaluation results showed an average participant satisfaction score of 4.80 on a scale of 5.00 with a 100% satisfaction rate. Participants demonstrated increased insight, skills, and motivation in applying AI and developing various learning innovation plans that will be implemented and disseminated in their respective schools.
Variable frequency drive trainer kits for electronic control system subjects in vocational secondary schools Mustofa Abi Hamid; Putu Sudira; Mochamad Bruri Triyono; Muhamad Aqil Rizqillah; Irwanto Irwanto; Dedi Setiawan; Desmira Desmira; Martias Martias; Muhammad Hakiki; Tamil Selvan Subramaniam; Abdurrahman Abdurrahman
International Journal of Evaluation and Research in Education (IJERE) Vol 13, No 5: October 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijere.v13i5.29333

Abstract

The objective of this study is to create a variable frequency drive (VFD) trainer kit, assess the practicality of the developed VFD educational tool, and evaluate its impact on the academic performance of industrial electronic engineering students, particularly in the area of electronic control systems. The study utilizes the ADDIE model and customized to meet the requirements and consists of the following phases: analysis, design, development, implementation, and evaluation. There were 130 respondents consisting of 122 vocational students, 1 industry expert/practitioner in the field of VFD, 1 vocational training center instructor, 4 vocational teachers, and 2 lecturers. Data were collected using questionnaires with 4 Likert scales from strongly agree to strongly disagree, feasibility assessment sheets from media experts and material experts, interviews, and electronic control system learning outcomes tests. The learning media receives a “highly feasible” and the job sheet obtains 67 “highly feasible”. Moreover, the level of effectiveness of the learning media receives a score of 0.724, indicating high effectiveness. Therefore, they have proven to be effective in enhancing student learning outcomes and developing their proficiency in controlling the speed of electric motors. This will help bridge the gap between the industry's skill requirements and the skills taught in schools.
Optimization of Image Compression Using K-Means Clustering for Digital Heritage Archives Yoga Sahria; Putu Sudira; Priyanto
Advance Sustainable Science Engineering and Technology Vol. 8 No. 1 (2026): November - January
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v8i1.2772

Abstract

Preserving digital cultural assets requires efficient compression to minimize storage and bandwidth costs. However, existing studies rarely evaluate K-Means Clustering on structurally complex objects such as the Prambanan Temple, leaving a research gap in assessing its performance against standard codecs. This study introduces a novel optimized K-Means pipeline with adaptive cluster selection and improved centroid initialization for compressing high-detail temple imagery. The method groups pixels based on color proximity, reducing redundancy while preserving key structural patterns. Experiments show that K-Means achieves PSNR 28.08–30.65 dB and SSIM 0.86–0.92, outperforming baseline JPEG at similar file sizes PSNR 26–28 dB, SSIM 0.80–0.87. This quantitative comparison demonstrates the model’s superior perceptual retention in textured stone regions. The methodological contribution lies in combining spatial–chromatic feature weighting with iterative centroid refinement, which increases cluster stability and reduces quantization artifacts. Findings confirm K-Means as a viable alternative for controlled-distortion compression. In conclusion, the proposed approach provides practical engineering implications, enabling reduced storage footprints, predictable reconstruction quality, and integration into hybrid compression pipelines for large-scale digital imaging systems.
BISINDO-based instructional videos in inclusive vocational welding learning: Preliminary evidence from a single-subject study Rochmad Novian Inderanata; Setuju Setuju; Dinar Westri Andini; Putu Sudira; Sutopo Sutopo; Septian Rahman Hakim; Esta Larosa; Paterson Nji Mbakwa
Jurnal Pendidikan Vokasi Vol. 16 No. 2 (2026)
Publisher : ADGVI & Graduate School of Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jpv.v16i2.100441

Abstract

This study examined within-participant changes in procedural understanding, practical welding skills, and learning engagement following the introduction of Indonesian Sign Language (BISINDO)-based instructional videos for a vocational high school student with hearing impairment. The study employed an A–B single-subject design comprising three baseline sessions and three intervention sessions. Outcomes were assessed using structured observation rubrics and converted to scores on a 0–100 scale. The participant was one student with hearing impairment enrolled in a basic welding course at a vocational high school. Data were collected through repeated observations across six learning sessions, consisting of three baseline sessions and three intervention sessions. The instruments included observation sheets assessing procedural understanding, practical welding skills, learning engagement, and intervention implementation. Data were analyzed using visual analysis across conditions and the Percentage of Non-overlapping Data (PND) to identify changes between the baseline and intervention phases. The results indicated positive within-participant changes across all observed variables following the introduction of BISINDO-based instructional videos. All intervention observations exceeded the highest baseline observations, resulting in a PND value of 100% for each outcome. However, these findings should be interpreted with caution due to the short duration of each phase and the absence of experimental replication. For the participant in this study, the introduction of BISINDO-based instructional videos was associated with higher observed scores in procedural understanding, practical welding skills, and learning engagement. Further research employing more rigorous single-case designs and involving additional participants is needed before broader conclusions can be drawn.
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.
From Sensors to Vision: Evolving Data Modalities for Intelligent IoT Systems Dedy Irvandy; Hedi Agfiria Carlusiaputri; Anja Wulan Sari; Putu Sudira; Pipit Uami
Jurnal Media Computer Science Vol 4 No 2 (2025): Juli
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmcs.v4i2.11168

Abstract

The rapid growth of the Internet of Things has increased the need for sensing systems capable of understanding complex environments beyond simple data collection. The integration of artificial intelligence and computer vision has driven a shift toward perception-oriented Artificial Intelligence of Things (AIoT) systems. This study systematically synthesizes research on vision-based sensing in AIoT, focusing on application domains, sensing modalities, AI methods, and computing architectures. A systematic literature review following PRISMA 2020 guidelines using Scopus identified 24 empirical studies published between 2018 and 2025. The findings show that AIoT vision systems are increasingly applied in manufacturing, agriculture, infrastructure, and surveillance, supporting real-time monitoring and decision-making. Core functions include detection, classification, segmentation, and activity recognition, enabled by deep learning and edge–cloud architectures. The results indicate a shift toward multimodal sensing and edge intelligence, highlighting a broader transition to perception-centric AIoT systems, with ongoing challenges in dataset generalization, multimodal integration, and efficient edge deployment.
Pendampingan Penilaian Anugerah Desa Wisata (ADWI) Upaya Desa Segajih dalam Mewujudkan Keberlanjutan Global Destinasi Pariwisata Putu Sudira; Yoga Sahria; Pardjono Pardjono; Moh Bruri Triyono; Septiono Eko Bawono; Widodo Widodo; Tinesa Fara Prihandini
Dimasejati: Jurnal Pengabdian Kepada Masyarakat Vol. 5 No. 2 (2023)
Publisher : Universitas Islam Negeri Siber Syekh Nurjati Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70095/dimasejati.v5i2.13698

Abstract

Pendampingan Penilaian Anugerah Desa Wisata (ADWI) merupakan sebuah program yang bertujuan untuk mengakui dan mendorong desa-desa wisata dalam mewujudkan keberlanjutan global sebagai destinasi pariwisata. Desa Segajih adalah salah satu desa wisata yang telah aktif terlibat dalam upaya mencapai keberlanjutan global sebagai destinasi pariwisata. Penelitian ini bertujuan untuk mengevaluasi pendampingan yang dilakukan terhadap Desa Segajih dalam proses penilaian ADWI serta menganalisis upaya Desa Segajih dalam mewujudkan keberlanjutan global sebagai destinasi pariwisata. Pengabdian ini menggunakan metode studi kasus dengan pendekatan kualitatif. Data dikumpulkan melalui observasi partisipatif, wawancara mendalam, dan analisis dokumen terkait pendampingan ADWI serta upaya Desa Segajih dalam mencapai keberlanjutan global destinasi pariwisata. Hasil pengabdian menunjukkan bahwa pendampingan yang dilakukan terhadap Desa Segajih memiliki peran yang signifikan dalam membantu desa tersebut mencapai keberlanjutan global sebagai destinasi pariwisata.. Melalui pendampingan ini, Desa Segajih berhasil meningkatkan kualitas infrastruktur pariwisata, meningkatkan kesadaran masyarakat tentang pentingnya keberlanjutan, dan mendorong partisipasi aktif masyarakat dalam pengelolaan pariwisata. Selain pendampingan, Desa Segajih juga telah melakukan berbagai upaya dalam mewujudkan keberlanjutan global sebagai destinasi pariwisata. Upaya tersebut mencakup pengelolaan sumber daya alam yang berkelanjutan, promosi pariwisata yang bertanggung jawab, pengembangan produk dan layanan pariwisata yang ramah lingkungan, serta peningkatan kesejahteraan masyarakat setempat. Kesimpulannya, pendampingan dalam penilaian ADWI berperan penting dalam membantu Desa Segajih mencapai keberlanjutan global sebagai destinasi pariwisata. Pengabdian ini memberikan kontribusi dalam pemahaman mengenai peran pendampingan dalam mewujudkan keberlanjutan global destinasi pariwisata dan memberikan wawasan bagi desa-desa wisata lainnya untuk mengadopsi pendekatan yang serupa dalam upaya mencapai keberlanjutan global.
Pelatihan Inovasi Pembelajaran Vokasional Berbasis Artificial Intelligence untuk Komunitas Guru Sekolah Menengah Kejuruan Kalimantan Utara YOGA SAHRIA; Putu Sudira; Satriyo Agung Dewanto
Jumat Pendidikan: Jurnal Pengabdian Masyarakat Vol. 7 No. 2 (2026): Agustus
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat UNWAHA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32764/39x7k211

Abstract

Teachers in Sekolah Menengah Kejuruan located in remote and underserved districts of North Kalimantan Province face a widening gap between national policy demands for Artificial Intelligence adoption in vocational learning and the limited digital literacy and technological infrastructure available at the school level. This community service program was carried out to strengthen Artificial Intelligence literacy, pedagogical competence, and instructional innovation among vocational teachers affiliated with three partner schools, namely State Vocational School 2 Malinau, State Vocational School 1 Malinau, and the State Agricultural Vocational School of Malinau, in Malinau Regency, North Kalimantan. The program adopted a participatory training and mentoring approach comprising needs assessment, conceptual reinforcement on Artificial Intelligence fundamentals and ethics, hands-on workshops on prompt writing and the use of generative Artificial Intelligence for lesson design, teaching media, and assessment, followed by post-training evaluation. Evaluation data were collected from thirty-two participating teachers using a twenty-item closed questionnaire covering five dimensions, namely Artificial Intelligence literacy, teacher competence in Artificial Intelligence-based instruction, training implementation, vocational learning innovation, and program benefit and sustainability, complemented by five open-ended reflective questions. Results showed an overall mean score of 4.48 out of 5, equivalent to 89.7 percent of the maximum score, with twenty-four of thirty-two teachers, or seventy-five percent, classified in the very good category. The training implementation and innovation dimensions recorded the highest scores, while qualitative findings highlighted unstable internet connectivity, restricted access to paid Artificial Intelligence applications, and strong demand for continued, more intensive hands-on mentoring as dominant themes. The program demonstrates that structured, practice-based training can rapidly elevate vocational teachers' readiness to integrate Artificial Intelligence, provided that infrastructural and sustainability barriers are addressed through continued institutional support.
Co-Authors Abdulloh Hamid Abdurahman Abdurrahman Achmad Samsudin Agung Widiyantoro Ahmad Fathoni Alias Masek Anja Wulan Sari Anwar, Choyrul Arga, Hardhika Nur Ayu Niza Machfauzia Chamdan Nor Ihwan Tsauri Daryono, Rihab Wit Dedi setiawan Dedi Setiawan Dedy Irvandy Desmira Desmira Dinar Westri Andini Dwiki Muda Yulanto Eka Tuah, Yayan Adrianova Endang Triastuti Fathoni, Ahmad Faya Izma Alayda Felestin Felestin, Felestin Fitriani, Winda Sari Fu'adi, Fu'adi Hafiidhiya Janata Areisy Hakiki, Muhammad Hartati Hasibuan, Mhd Akbar Hedi Agfiria Carlusiaputri I Gusti Kade Siladana Ike Yunia Pasa Irwanto Irwanto Iskandar, Ranu Ismail, Mohd Erfy Isnaini Febriarini, Nurul Isnantyo, Fajar Danur Juliandarini Juliandarini Kun Setyaning Astuti Kusuma, Wahyu Mustafa Larosa, Esta Lestari Rochmatun Choirunnisya' Linda Setiawati Lucky Al Hafzy Maneetien, Nopadon Martias Martias Masrifah, Nani Maulina Idami Alim Mochamad Bruri Triyono Mochammad Baharudin Siddiq Mohamad Hidir Mhd Salim Mohamad Hidir Mhd Salim Mohammad Naufal Fahmi Muhamad Aqil Rizqillah Muhamad Arpan Muhammad Irfan Luthfi Muhammad Nurtanto Mustofa Abi Hamid Mutiara Nugraheni Mutohhari, Farid Nopriyanti Nopriyanti Nugraha, Ariadie Chandra Nur Faizal Adkha Nur Kholifah Nurdianah, Evi Nuryake Fajaryati Nuryake Fajaryati Nuur Wachid Abdul Majid Pardjono, P. Paterson Nji Mbakwa Pipit Uami Pipit Utami Pramu Pramu Pramudya Dwi Aristya Prihandini, Tinesa Fara Prihandini, Tinesa Fara Priyanto Priyanto, Priyanto Rabiman, Rabiman Rahayu Fuji Astuti Rahmani AR, Muhammad Bayu Rahmiati Ruwaida Rijalul Haq Riyawan Susanto rizal, yosi Rizbudiani, Adilla Desy Robertus Vembry Mahartantyo Rochmad Novian Inderanata Saifurrahman, Muhammad Satriyo Agung Dewanto Sendi Tiyas Aryani Septian Rahman Hakim Septian Rahman Hakim Septiari Nawanksari Septiono Eko Bawono Septiono Eko Bawono Setuju Setuju Shabrina Syntha Dewi Sinaga, Enny Keristiana Siti Mazizatuz Zahroh Siti Nurul Aini Siti Wakijah Sitorus, Heri Franata Slamet Widodo Soeharto Soeharto Soenarto Soenarto Stevanus Widuri Nursusanto Stevanus Widuri Nursusanto Sudji Munadi Suyitno Suyitno Taku Neno, Khatrin Juliani Tamil Selvan Subramaniam Thomas Sukardi Tinesa Fara Prihandini Titi Sumarni Tuah, Yayan Adrianova Eka Umi Rochayati Uswatun Hasanah Wagiran Wahyu Mustafa Kusuma Wahyu Noviansyah Wan Mat, Wan Ameran bin Wardan Suyanto WARJU Widayanto, Luthfi Dhimas Widiyantoro, Agung Widodo Widodo Widodo, Widodo Winna Dharmayanti Yayan Adrianova Eka Tuah Yoga Sahria Yoga Sahria Yowanita Dwi Irwanti Yukinta Nasya Berty Yuniar Indrihapsari Z. Zamroni Zainal Arifin