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All Journal Jurnal Pendidikan Vokasi Jurnal Edukasi Elektro JPTK: Jurnal Pendidikan Teknologi dan Kejuruan Edutech ELINVO (Electronics, Informatics, and Vocational Education) PEDAGOGIA Abdimas Galuh: Jurnal Pengabdian Kepada Masyarakat Journal of Research in Social Science and Humanities Jurnal Media Computer Science Jurnal Pendidikan Terapan Journal of Information Technology and Education (JITED)
Nuryake Fajaryati
Universitas Negeri Yogyakarta
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 (TRACER STUDY) TERHADAP ALUMNI PROGRAM STUDI PENDIDIKAN TEKNIK INFORMATIKA JURUSAN PENDIDIKAN TEKNIK ELEKTRONIKA FAKULTAS TEKNIK UNIVERSITAS NEGERI YOGYAKARTA Fajaryati, Nuryake; Pambudi, Sigit; Priyanto, Priyanto; Sukardiyono, Totok; Utami, Athika Dwi Wiji; Destiana, Bonita
Elinvo (Electronics, Informatics, and Vocational Education) Vol. 1 No. 1 (2015): November 2015 (Consist of 9 Articles)
Publisher : Department of Electronic and Informatic Engineering Education, Faculty of Engineering, UNY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (138.938 KB) | DOI: 10.21831/elinvo.v1i1.10878

Abstract

Penelitian tracer study ini bertujuan untuk memperoleh gambaran lama masa tunggu alumni sampai mendapatkan pekerjaan, mendeskripsikan penilaian alumni mengenai penyelenggaraan dan mutu layanan program yang ada di Program Studi Pendidikan Teknik Informatika FT UNY dan mendeskripsikan penilaian pengguna alumni terhadap kompetensi lulusan Pendidikan Teknik Informatika FT UNY. Penelitian ini termasuk jenis penelitian deskriptif kualitatif (qualitative research) melalui pendekatan survei mencakup tiga tahapan: 1) pengembangan konsep dan instrumen; 2) pengumpulan data; dan 3) analisa data dan pelaporan. Metode sampling dengan cara random, dengan proporsi 30% secara proporsional sesuai dengan jumlah lulusan. Jenis data yang dikumpulkan dalam penelitian ini adalah data primer yang diperoleh langsung dari alumni dan pengguna alumni melalui kuesioner yang terstruktur. Penyebaran kuesioner dilakukan secara online melalui Google docs dan penyebaran secara langsung kepada alumni atau pengguna alumni yang diketahui dengan jelas keberadaannya. Pengumpulan data lapangan dimulai pada Mei 2015 hingga Agustus 2015.Hasil penelitian menunjukkan sebagian besar alumni Program Studi Pendidikan Teknik Informatika mendapatkan pekerjaan dengan masa tunggu kurang dari 6 bulan yaitu sebanyak 88%, sementara lainnya membutuhkan waktu selama lebih dari 18 bulan sebanyak 7%, rentang 6 - 12 bulan sebanyak 3%, dan rentang 13 - 18 bulan sebanyak 2%. Mengenai penyelenggaraan dan mutu layanan, alumni memberikan penilaian baik dari persepsi semua aspek, namun dibutuhkan peningkatan dari segi SDM maupun fasilitas sarana dan prasarana. Pengguna alumni menilai bahwa kompetensi lulusan Program Studi Pendidikan Teknik Informatika dari segi aspek integritas, profesionalisme, penggunaan TI, komunikasi, kerjasama tim, dan pengembangan diri sangat baik, namun masih kurang dalam penggunaan bahasa, khususnya bahasa Inggris.
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.
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.
Evaluasi pelaksanaan teaching factory SMK di Surakarta Nuryake Fajaryati
Jurnal Pendidikan Vokasi Vol. 2 No. 3 (2012)
Publisher : ADGVI & Graduate School of Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jpv.v2i3.1040

Abstract

Evaluasi pelaksanaan teaching factory SMK di Surakarta bertujuan untuk mengetahui bagaimana proses pelaksanaan teaching factory SMK di Surakarta. Penelitian ini merupakan penelitian deskriptif dengan pendekatan evaluasi model formatif-sumatif oleh Scriven yang menekankan pada evaluasi formatif. Populasi penelitian adalah semua SMK di Surakarta yang menjalankan teaching factory berjumlah 9 sekolah dan respondennya adalah 81 guru pengampu kompetensi keahlian yang menjalankan teaching factory di sekolah tersebut. Hasil penelitian menunjukkan bahwa pelaksanaan teaching factory SMK di Surakarta ditinjau dari kegiatan pembelajaran dinyatakan sangat baik (17,28%) oleh 14 guru, baik (39,51%) oleh 32 guru, tidak baik (25,93%) oleh 21 guru, dan sangat tidak baik (17,28%) oleh 14 guru. Sedangkan hasil pelaksanaan teaching factory SMK di Surakarta ditinjau dari proses produksi dinyatakan sangat baik (14,81%) oleh 12 guru, baik (27,16%) oleh 22 guru, tidak baik (44,44%) oleh 36 guru, dan sangat tidak baik (13,58%) oleh 11 guru. AN EVALUATION OF SMK TEACHING FACTORY IN SURAKARTAAn evaluation of the teaching factory implementation in vocational high schools (VHSs) in Surakarta aims to find out he teaching factory implementation process in VHSs in Surakarta. This was a descriptive study with the formative-sumative evaluation model by Scriven emphasizing on the formative evaluation. The population comprised all 9 VHSs in Surakarta carrying out the teaching factory. The respondents were 81 teachers involved in the teaching factory. The results of the evaluation show that the teaching factory in VHSs in Surakarta for the learning activity component is very good (17.28%, 14 respondents), good (39.51%, 32 respondents), poor (25.93%, 21 respondents), and very poor (17.28%, 14 respondents), and for the production proccess component it is very good (14.81%, 12 respondents), good (27.16%, 22 respondents), poor (44.44%, 36 respondents), and very poor (13.58%, 11 respondents).
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.
AI-Driven Digitalization and Construction Productivity: A Socio-Technical Systematic Literature Review Kari Sulaiman; Nuryake Fajaryati; Abdul Hamid
Jurnal Pendidikan Terapan Vol 4, No 3 July (2026)
Publisher : Sakura Digital Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61255/jupiter.v4i3.1224

Abstract

Purpose: This study aims to analyze the role of digitalization and artificial intelligence (AI) in improving productivity in industrial and construction sectors, identify the supporting and inhibiting factors influencing their implementation, and formulate research gaps and novelty opportunities from previous literature. Methods: This study employed a Systematic Literature Review using the PRISMA 2020 framework. The literature search was primarily conducted through Scopus using keyword clusters related to AI-driven automation, skills mismatch, and vocational workforce, complemented by additional relevant scholarly sources. From 272 initial records, the selection and eligibility process resulted in 66 reports, which were analyzed through narrative and thematic synthesis. Findings: The findings indicate that digitalization and AI contribute to productivity through process automation, information integration, work accuracy, quality control, resource optimization, and data-driven decision-making. However, their effectiveness depends on human resource readiness, digital literacy, interoperability, system security, data governance, standardization, and organizational support. Research Implications: The study implies that productivity improvement through digitalization and AI should not be approached solely as technological adoption. Industrial and construction organizations need to strengthen workforce competencies, data quality, governance mechanisms, system integration, and organizational readiness to ensure that digital transformation produces sustainable productivity outcomes. Originality: This study offers an integrative socio-technical perspective that connects AI-driven automation, skills mismatch, vocational workforce readiness, governance, and multidimensional productivity. Its originality lies in positioning productivity as the result of interaction among technology, people, processes, data, and organizations, rather than as a direct consequence of digital technology adoption.
Multimodal Learning in AIoT Systems: Sensor Fusion and Vision-Based Intelligence Agnes Prima Wulanjari; Ria Dymyati; Indar Bismoko Indar Bismoko; Nuryake Fajaryati; Pipit Utami
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.v4i2.11040

Abstract

This study evaluates the effectiveness of multimodal learning in Artificial Intelligence of Things (AIoT) systems, focusing on the integration of sensor fusion and computer vision for classification tasks. A systematic review and meta-analysis were conducted on studies published between 2020 and 2025. Thirteen studies met the inclusion criteria; however, only six provided comparable quantitative data due to inconsistent baseline reporting and evaluation practices. The results indicate that multimodal approaches generally improve accuracy compared to unimodal baselines when comparable evaluations are available, with an average increase of 8.88% (95% CI: 5.33%–12.44%, p < 0.001). High heterogeneity was observed, influenced by domain, sensor configuration, and model architecture. These findings suggest that multimodal effectiveness is conditional and depends on modality complementarity, fusion strategy, and system-level constraints
Co-Authors Aanggraini, Yussi Abdul Hamid Agnes Prima Wulanjari Anggraini, Yussi Athika Dwi W Athika Dwi Wiji Utami Azis, Muhammad Abdul Baiti, Ahmad Awaluddin Bonita Destiana Budiyono Budiyono Dieni Nugrahini Djoko Santoso Felestin Felestin, Felestin Ferry Jie, Ferry Indar Bismoko Indar Bismoko Ismail, Mohd Erfy Kari Sulaiman Maneetien, Nopadon Mofu, Alfred Michel Muhammad Akhyar Muhammad Irfan Luthfi Muslikhin Nurkhamid Pambudi, Sigit Pipit Utami Ponco Wali Pranoto Pramudi Utomo Priyanto Priyanto Putra, Abdul Aziz Sidiq Tri Putu Sudira Putu Sudira Rafisya, Annisa Risqi Ria Dymyati Rinawan, Rangga Bayu Robertus Vembry Mahartantyo Sari, Praramadini Saroh, Vetin Yumita Septian Rahman Hakim Sri Waluyanti Stevanus Widuri Nursusanto Totok Sukardiyono Wiranto Yoga Sahria Yuwana, Rahmat Ageng