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All Journal Jurnal Pendidikan Vokasi Jurnal Edukasi Elektro JPTK: Jurnal Pendidikan Teknologi dan Kejuruan ELINVO (Electronics, Informatics, and Vocational Education) Abdimas Galuh: Jurnal Pengabdian Kepada Masyarakat Journal of Research in Social Science and Humanities Journal of Information Technology and Education (JITED)
Nuryake Fajaryati
Department Of Electronics Engineering Education, Faculty Of Engineering, Yogyakarta State University
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Nursing Social Sciences Other

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Studi Penelusuran Alumni Teknik Elektronika D3 sebagai Upaya Peningkatan Mutu Penyelenggaraan Program Studi Fajaryati, Nuryake; Santoso, Djoko; Waluyanti, Sri; Baiti, Ahmad Awaluddin
Elinvo (Electronics, Informatics, and Vocational Education) Vol. 3 No. 1 (2018): May 2018
Publisher : Department of Electronic and Informatic Engineering Education, Faculty of Engineering, UNY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (744.638 KB) | DOI: 10.21831/elinvo.v3i1.20221

Abstract

Penelitian ini bertujuan untuk mengetahui bagaimana profil lulusan Profi D3 Teknik Elektronika, penilaian alumni mengenai mutu penyelenggaraan program yang ada di Prodi D3 Teknik Elektronika, dan penilaian stakeholders terhadap kompetensi lulusan prodi D3 Teknik Elektronika.Penelitian ini merupakan penelitian penelusuran alumni dengan pendekatan analisis deskriptif kuantitatif.pelaksanaan tracer study dilakukan dengan konsep tahapan survey menurut Schomburg, yaitu tahap 1 pengembangan konsep dan instrumen, tahap 2 pengumpulan data, dan tahap 3 analisa data serta penulisan laporan. Sumber data dalam penelitian ini adalah 55 orang alumni Prodi D3 Teknik Elektronika dan 10 orang pengguna alumni (stakeholders) Metode pengumpulan data dilakukan dengan penyebaran kuesioner kepada alumni dan stakeholders secara langsung dan melalui google doc. Metode analisis data yang dipakai dalam penelitian ini adalah teknik analisis deskriptif kuantitatif dan evaluatif. Kuesioner penilaian penyelenggaraan prodi D3 Teknik Elektronika oleh alumni dan penilaian kompetensi alumni oleh stakeholders diberikan lima alternatif jawaban, yaitu sangat baik, baik, cukup baik, kurang baik, dan tidak baik.Hasil penelitian menunjukkan bahwa rerata IPK lulusan prodi D3 Teknik Elektronika untuk angkatan 2008 – 2014 adalah 3,27 dan lama masa studi 3 tahun 8 bulan. Sebagian besar masa tunggu alumni dalam mendapatkan pekerjaan ± 3 bulan dan bekerja sebagai karyawan swasta dan teknisi swasta dengan pendapatan 1-3 juta/bulan. Penilaian alumni terhadap layanan administrasi, aspek pembelajaran, pengalaman belajar, dan keterlibatan dalam penelitian dan PPM termasuk dalam kategori baik. Sedangkan penilaian alumni tentang fasilitas perkuliahan tergolong cukup baik. Penilaian stakeholders terhadap alumni dalam hal integritas, keahlian bidang ilmu, kemampuan mengatasi permasalahan, kemampuan berkomunikasi, dan bekerjasama termasuk dalam kategori baik. sedangkan kemampuan alumni dalam berbahasa inggris tergolong cukup baik. 
Reosquido Desalinasi Metode Evaporasi dengan Ultraviolet Berbasis Mikrokontroller Azis, Muhammad Abdul; Fajaryati, Nuryake
Elinvo (Electronics, Informatics, and Vocational Education) Vol. 3 No. 2 (2018): November 2018
Publisher : Department of Electronic and Informatic Engineering Education, Faculty of Engineering, UNY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (6428.794 KB) | DOI: 10.21831/elinvo.v3i2.20885

Abstract

This research aims to create a Reosquido desalination tool for evaporation methods using a microcontroller. This tool can control the temperature to speed up the evaporation process in producing fresh water. The method applied to Reosquido desalination uses Evaporation. The first process before evaporation is the detection of temperature in sea water that will be heated using an element heater. The second process of temperature measurement is to turn off and turn on the Arduino Uno controlled heater, when the temperature is less than 80 ° then the heater is on. The third process is evaporation during temperatures between 80 ° to 100 °, evaporation water sticks to the glass roof which is designed by pyramid. Evaporated water that flows into the reservoir is detected by its solubility TDS value. The fourth process is heater off when the temperature is more than 100 °. Based on the results of the testing, the desalination process using a microcontroller controlled heater can speed up the time up to 55% of the previous desalination process tool, namely manual desalination prsoes without using the heater element controlled by the temperature and controlled by a microcontroller which takes 9 hours. Produces fresh water as much as 30ml from 3000ml of sea water, so that it can be compared to 1: 100.
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 4 (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 Aanggraini, Yussi Anggraini, Yussi Athika Dwi W Athika Dwi Wiji Utami Azis, Muhammad Abdul Baiti, Ahmad Awaluddin Bonita Destiana Djoko Santoso Felestin Felestin, Felestin Ferry Jie, Ferry Ismail, Mohd Erfy Maneetien, Nopadon Mhd Salim, Mohamad Hidir Mofu, Alfred Michel Muhammad Irfan Luthfi Muslikhin Nurkhamid Nursusanto, Stevanus Widuri Pambudi, Sigit Pipit Utami Ponco Wali Pranoto Pramudi Utomo Priyanto Priyanto Putra, Abdul Aziz Sidiq Tri Putu Sudira Putu Sudira Rafisya, Annisa Risqi Rahayu Fuji Astuti Rinawan, Rangga Bayu Sari, Praramadini Saroh, Vetin Yumita Septian Rahman Hakim Sri Waluyanti Sudira , Putu Totok Sukardiyono Yoga Sahria Yuwana, Rahmat Ageng