Article Per Year (5 Year)
p-Index From 2021 - 2026
3.457
P-Index
This Author published in this journals
All Journal Jurnal Pendidikan Vokasi JPTK: Jurnal Pendidikan Teknologi dan Kejuruan International Journal of Advances in Intelligent Informatics jurnal Teknologi Informasi Magister International Journal of Artificial Intelligence Research KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) The IJICS (International Journal of Informatics and Computer Science) JURIKOM (Jurnal Riset Komputer) JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vocatech : Vocational Education and Technology Journal Jurnal Teknologi Informatika dan Komputer Jurnal Pengabdian Dharma Wacana Journal of Research in Social Science and Humanities International Journal of Advanced Science and Computer Applications Jurnal Masyarakat Madani Indonesia Jurnal Alih Teknologi Sistem Informasi (JATSI)
Nurdiyanto, Heri
Pendidikan Teknologi Dan Kejuruan Universitas Negeri Yogyakarta
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering 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 Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Public Health Social Sciences Other

Published : 29 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 29 Documents
Search

 1   2   3 
Impacts of Artificial Intelligence Integration on Teaching Practices and Student Engagement in Digitally Transformed Educational Settings Heri Nurdiyanto; Leonel Hernandes; Aktansi Kindiasari
Jurnal Pendidikan Teknologi dan Kejuruan Vol. 31 No. 1 (2025): (May)
Publisher : Faculty of Engineering, Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jptk.v31i1.96073

Abstract

This study explores how the integration of artificial intelligence (AI) into digitally transformed educational settings reshapes everyday teaching practices and influences student engagement in real learning contexts. Rather than treating AI as a standalone technological upgrade, the study situates its use within the broader transformation of digital learning environments, where platforms, automated tools, and data-driven systems increasingly mediate classroom interactions. The findings show that AI integration gradually shifts the role of teachers from primarily delivering content toward designing learning experiences, guiding students’ learning processes, and responding to more diverse patterns of participation. In practice, AI-supported tools help streamline routine instructional tasks, open space for more personalized interaction, and provide timely support to students with different learning needs. At the same time, the results indicate that student engagement does not automatically improve simply because AI is introduced. Engagement grows when AI tools are meaningfully aligned with pedagogical goals, integrated into everyday learning activities, and supported by teachers’ readiness to adapt their instructional strategies. The study also highlights emerging tensions, including uneven levels of student participation, varying degrees of teacher confidence in using AI-based systems, and concerns about over-reliance on automated support. Overall, the findings suggest that the impact of AI in digitally transformed educational settings is shaped less by the technology itself than by how it is embedded in teaching practices and learning cultures, pointing to the importance of thoughtful integration in sustaining meaningful student engagement.
An AI-driven framework for learning analytics and operational optimization in technology and vocational education: Bridging industrial engineering and informatics Heri Nurdiyanto; Leonel Hernandes; Jehad A. H. Hammad; Aktansi Kindiasari
Jurnal Pendidikan Vokasi Vol. 15 No. 3 (2025)
Publisher : ADGVI & Graduate School of Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jpv.v15i3.95617

Abstract

This study proposes an artificial intelligence (AI)-driven framework that integrates learning analytics with operational optimization to address the fragmentation between educational data and operational decision-making in technology and vocational education. Although vocational institutions increasingly adopt digital technologies, learning-related data are often analyzed separately from operational processes such as scheduling, task allocation, resource utilization, and process efficiency, despite their interdependence in teaching factory and practical learning environments. Drawing on perspectives from industrial engineering and informatics, the proposed framework integrates machine learning for analyzing learner performance and competency development with optimization techniques for supporting operational decision-making. The framework was designed to be adaptable across different vocational education contexts and was empirically evaluated in a technology-oriented vocational setting to assess its feasibility. The evaluation demonstrates the feasibility of integrating learner-related and operational information within a unified decision-support environment, enabling competency and performance information to inform decisions concerning practical tasks, scheduling, and resource allocation. Rather than positioning AI solely as a predictive or instructional tool, the framework conceptualizes it as a mechanism for connecting pedagogical and operational dimensions of vocational learning. This study contributes an interdisciplinary and system-oriented perspective on AI adoption in vocational education, providing a foundation for more integrated, context-sensitive, and data-informed decision-making in teaching factory and practical learning environments.
Information Systems and Industrial Resource Planning Nova Suparmanto; Heri Nurdiyanto; Anisa Kharismawati
Journal of Research in Social Science and Humanities Vol 5, No 2 (2025)
Publisher : Utan Kayu Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47679/jrssh.v5i1.275

Abstract

Information Systems (IS) and Industrial Resource Planning (IRP) play a critical role in the optimization and management of industrial operations in today's fast-paced and technology-driven environment. Information Systems encompass a range of technologies and practices designed to collect, store, process, and distribute information within an organization, facilitating decision-making and process automation. Industrial Resource Planning, on the other hand, is an integrated approach to managing the resources required in manufacturing processes, including raw materials, human resources, machinery, and financial assets. The primary objective of IRP is to ensure that industrial operations are carried out efficiently and cost-effectively, with minimal waste and maximum productivity. The integration of IS and IRP allows organizations to better track resources, improve production schedules, and enhance supply chain management. By utilizing data analytics and advanced information technologies, companies can predict demand fluctuations, optimize inventory management, and reduce downtime. Furthermore, IS and IRP systems often incorporate real-time monitoring tools, enabling managers to make informed decisions based on up-to-date information about the production process. This leads to improved overall performance and the ability to respond to challenges quickly and effectively. An essential component of IRP is its ability to forecast and plan for future resource needs based on historical data and industry trends. By leveraging IS tools, such as enterprise resource planning (ERP) software, manufacturers can automate their resource allocation and streamline production processes. The alignment of IS and IRP contributes to achieving sustainability goals, as resource utilization can be carefully monitored and adjusted to minimize environmental impact. As industries continue to evolve with the advent of Industry 4.0 technologies, the role of IS and IRP systems will only grow in significance, shaping the future of manufacturing and industrial operations. The paper highlights the importance of these systems in modern industrial settings and explores their impact on operational efficiency, resource management, and strategic decision-making..
Model Triple Helix in the Partnership of UNY, Industry, and Government for Research-Based Human Resource Development Darmono Darmono; Heri Nurdiyanto; Nur Endah Januarti; Krisnanda Dwi Apriyanto
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.v5i3.391

Abstract

This study explores the implementation of the Triple Helix model in strengthening research-based human resources through the strategic partnership between Universitas Negeri Yogyakarta (UNY), industry, and government. The Triple Helix framework posits that innovation and human capital development emerge from synergistic interactions among universities, industry, and government, each contributing unique resources, knowledge, and policy support. At UNY, this partnership is realized through collaborative research projects, technology transfer, curriculum alignment with industrial needs, and policy facilitation aimed at fostering employability and research competence of graduates. The university serves as a knowledge hub that generates research and innovation, while industries provide practical expertise, funding, and employment opportunities, and the government ensures regulatory support and incentives. This paper analyzes case studies of collaborative programs, highlighting mechanisms such as joint research centers, internships, scholarships, and community service initiatives that integrate research into human resource development. The findings demonstrate that the Triple Helix model fosters mutual benefits: UNY enhances its academic relevance and societal impact, industries gain access to skilled and innovative talent pools, and the government achieves policy goals related to national development and workforce competitiveness. The study also identifies challenges, including misaligned expectations, bureaucratic barriers, and funding sustainability, and proposes recommendations for strengthening the governance of partnerships and aligning stakeholder objectives. Overall, the research concludes that the Triple Helix partnership at UNY exemplifies a promising model for advancing research-based human resources that are adaptive, innovative, and responsive to dynamic industrial and societal needs. This model underscores the importance of sustained communication, trust, and shared vision among stakeholders to optimize the outcomes of such collaborations in the Indonesian context and beyond.
Prototype of IoT-Enabled RFID Door Lock System Using n8n Workflow Integration Ilmawan Mustaqim; Dzul Fadli Rahman; Heri Nurdiyanto; Abdul Khaliq Pangestu; Fauzi Wijaya
International Journal of Artificial Intelligence Research Vol 10, No 1 (2026): June
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v10i1.1733

Abstract

This study aims to develop a Radio Frequency Identification (RFID)-based door lock system integrated with the n8n automation platform as an innovative solution to enhance access security within an academic envi-ronment. The research employs a Research and Development (R&D) method with a Waterfall Model approach, consisting of requirement analysis, system design, hardware and software implementation, and prototype test-ing stages. The system utilizes an RFID RC522 module, an ESP8266 microcontroller, an I2C LCD, and a 12V Li-Ion battery, integrated through an n8n workflow to automatically record access data into an Excel data-base. The test results show that the system can perform user authentication and real-time access logging with 100% accuracy and an average response time of five seconds. The casing, printed using a 3D printer with PLA filament, provides a lightweight, durable, and easily assembled design. Overall, the developed system functions effectively as both a control and monitoring tool, demonstrating potential as a model for smart security system development in higher education institutions
A Deep Learning Approach to Fake News Detection in Images with Text Overlay Heri Nurdiyanto; Nova Suparmanto; Beniati Lestyarini; Novan Edo Pratama
International Journal of Artificial Intelligence Research Vol 10, No 1 (2026): June
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v10i1.1701

Abstract

This study addresses the growing challenge of fake news distributed through images containing overlaid text, a format that is widely used on social media because it is visually persuasive, easy to share, and often difficult to verify. Unlike conventional text-only misinformation, this type of content combines visual and textual cues that can strengthen misleading narratives and increase public trust in false information. To respond to this problem, the study proposes a deep learning approach for detecting fake news in text-overlay images by integrating image-based and text-based feature extraction within a unified classification framework. The proposed method begins with image preprocessing and text extraction from embedded captions, followed by feature learning using deep neural architectures to capture both semantic and visual patterns associated with deceptive content. The model is trained and evaluated on a labeled dataset of images containing news-like textual overlays, with performance assessed using accuracy, precision, recall, F1-score, and confusion matrix analysis. The results indicate that the proposed approach is able to identify fake news content effectively and achieves promising classification performance compared with baseline machine learning methods. These findings indicate that combining visual representation and embedded textual information can significantly improve detection capability in multimodal misinformation settings. This study aids in the advancement of more flexible fake news detection systems, especially in digital contexts where altered or deceptive image-based content disseminates swiftly. The proposed framework is expected to support future research and practical implementation in automated content verification, social media monitoring, and digital information integrity management
Inovasi Galeri Virtual Seni Budaya Nusantara sebagai Media Edukasi dan Pelestarian Budaya di Era Digital Angga Sukma Permana; Nova Suparmanto; Heri Nurdiyanto; Bambang Sulistyo
Jurnal Masyarakat Madani Indonesia Vol. 5 No. 1 (2026): Februari
Publisher : Alesha Media Digital

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59025/b7v84883

Abstract

Perkembangan teknologi digital membuka peluang baru dalam upaya pelestarian dan penyebarluasan seni budaya Nusantara. Namun, di sisi lain, minat generasi muda terhadap warisan budaya lokal cenderung menurun karena terbatasnya akses terhadap informasi dan media pembelajaran yang menarik. Kegiatan Pengabdian kepada Masyarakat (PKM) ini bertujuan untuk menghadirkan sebuah inovasi berupa Galeri Virtual Seni Budaya Nusantara yang dapat dimanfaatkan sebagai media edukasi sekaligus sarana pelestarian budaya di era digital. Program ini dilaksanakan melalui beberapa tahapan, mulai dari identifikasi kebutuhan masyarakat, perancangan konsep galeri virtual, pengembangan platform berbasis web, hingga pelatihan pemanfaatan galeri kepada masyarakat dan komunitas seni. Galeri virtual yang dikembangkan menampilkan berbagai koleksi seni budaya Nusantara seperti karya seni rupa, artefak budaya, serta dokumentasi pertunjukan tradisional dalam format digital yang mudah diakses. Hasil kegiatan menunjukkan bahwa keberadaan galeri virtual mampu meningkatkan pemahaman dan ketertarikan masyarakat terhadap kekayaan budaya Indonesia. Selain itu, platform ini juga memberikan ruang baru bagi pelaku seni dan komunitas budaya untuk mempromosikan karya mereka kepada publik yang lebih luas. Dengan demikian, inovasi galeri virtual ini tidak hanya berfungsi sebagai media edukasi, tetapi juga menjadi salah satu strategi adaptif dalam menjaga keberlanjutan seni budaya Nusantara di tengah perkembangan teknologi digital.
Pemberdayaan SDM DIU untuk Peningkatan Kinerja Bisnis melalui Capacity Building Heri Nurdiyanto; Ahmad Nasrulloh; Yudan Hermawan; Riko Septiantoko; Agus Riyanto; Istiyani Nuryati; Deni Satriya Hidayat; Wahyu Kharina Praptiwi; Ida Kurniyati
Jurnal Masyarakat Madani Indonesia Vol. 5 No. 2 (2026): Mei
Publisher : Alesha Media Digital

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59025/yzspmh94

Abstract

Program Pemberdayaan SDM DIU untuk Peningkatan Kinerja Bisnis melalui Capacity Building merupakan salah satu upaya untuk memperkuat kapasitas sumber daya manusia dalam mengelola dan mengembangkan usaha di lingkungan Direktorat Inovasi dan Usaha Universitas Negeri Yogyakarta. Dalam beberapa tahun terakhir, pengembangan unit usaha berbasis inovasi di lingkungan perguruan tinggi menunjukkan potensi yang cukup besar, namun sering kali masih dihadapkan pada keterbatasan kemampuan manajerial dan strategi bisnis yang terstruktur. Oleh karena itu, program ini dirancang untuk memberikan ruang pembelajaran sekaligus pendampingan bagi para pengelola usaha agar mampu mengembangkan bisnis secara lebih profesional dan berkelanjutan. Kegiatan dilaksanakan melalui pendekatan capacity building yang mencakup pelatihan manajemen bisnis, workshop pengembangan strategi usaha, serta pendampingan implementasi model bisnis pada unit usaha yang terlibat dalam program. Hasil pelaksanaan kegiatan menunjukkan adanya peningkatan pemahaman peserta terhadap konsep pengelolaan usaha, perencanaan strategi bisnis, serta pentingnya inovasi dalam pengembangan produk dan layanan. Selain itu, peserta juga mulai menyusun rencana pengembangan usaha yang lebih terarah sesuai dengan kondisi dan potensi yang dimiliki. Secara keseluruhan, program ini memberikan kontribusi positif dalam memperkuat kapasitas sumber daya manusia serta mendukung peningkatan kinerja bisnis unit usaha di lingkungan DIU secara lebih terstruktur dan berkelanjutan
Analisis Implementasi Problem-Based Learning pada Kompetensi Keahlian Teknik Informatika di SMK Liquiçá, Timor-Leste Julio Alves dos Santos; Heri Nurdiyanto; Abi Amar Zubair; Domingos da Silva Correia
VOCATECH: Vocational Education and Technology Journal Vol 8, No 1 (2026): April
Publisher : Akademi Komunitas Negeri Aceh Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38038/vocatech.v8i1.280

Abstract

AbstrakPenelitian ini bertujuan untuk menganalisis implementasi pembelajaran berbasis masalah (PBL) pada kompetensi Teknologi Informasi di SMK Liquiçá, Timor-Leste. Penelitian ini menggunakan pendekatan studi kasus kualitatif dengan pengumpulan data melalui observasi kelas, wawancara semi-terstruktur dengan guru dan siswa, serta analisis dokumen. Temuan penelitian mengungkapkan tiga kesimpulan utama. Pertama, implementasi PBL masih parsial, ditandai dengan dominasi presentasi masalah oleh guru (35% dari waktu) dibandingkan dengan investigasi independen oleh siswa (25% dari waktu). Guru lebih berperan sebagai teknisi (65% dari waktu) yang menangani masalah teknis daripada sebagai fasilitator pembelajaran (15% dari waktu), dan hanya 30% dari skenario masalah yang memenuhi kriteria keaslian dan relevansi industri. Kedua, faktor penghambat utama meliputi infrastruktur digital yang terbatas (rasio komputer 1:5), kesenjangan kompetensi teknologi-pedagogis guru (TPACK), dan ketidaksiapan siswa (70%) dalam pembelajaran mandiri. Di sisi lain, faktor pendukung yang teridentifikasi adalah motivasi intrinsik siswa, dukungan manajemen sekolah, serta dinamika kolaborasi dalam kelompok. Ketiga, meskipun menghadapi berbagai tantangan, PBL menunjukkan potensi untuk meningkatkan kompetensi praktis siswa, dengan peningkatan signifikan pada keterampilan pemecahan masalah teknis (45%), kemahiran pemrograman perangkat lunak (35%), dan keterampilan debugging (40%). Penelitian ini berkontribusi pada pengembangan model implementasi PBL kontekstual untuk pendidikan vokasi di lingkungan dengan sumber daya yang terbatas serta memberikan rekomendasi praktis untuk pengembangan kapasitas guru dan optimalisasi sumber daya yang tersedia.      Kata Kunci: Pembelajaran berbasis masalah; SMK Liquiçá; Teknik informatika; Timor-Leste; TVET
Co-Authors A.A. Ketut Agung Cahyawan W Abdul Khaliq Pangestu Abi Amar Zubair Agus Riyanto Ahmad Nasrulloh Aktansi Kindiasari Aldi Muharsyah Angga Sukma Permana Anisa Kharismawati Apriyanto, Krisnanda Dwi Apsiswanto, Untoro Bambang Sulistyo Bellman, Francesco Beniati Lestyarini Budi Sutomo Darmono Deni Satriya Hidayat Dikki Handoko Domingos da Silva Correia Dzul Fadli Rahman Efori Buulolo Ella Wulandari Envermy Vem, Envermy Fachrurrazi Fachrurrazi Fauzi Wijaya Fauzi, Chairani Febri Sugandi Hermanto Hermanto Hotmelinsa Situmorang Ibrahim Khalid Ida Kurniyati Inas Ajeng Nur Afifah Iqbal Saeed Umar Irfan Setiawan Istiyani Nuryati Jeanette, Eva Jehad A. H. Hammad Julio Alves dos Santos Kareem, Shahab Wahhab Khasanah Khasanah Kindiasari, Aktansi Leonel Hernandes Leonel Hernandes M Ikhsan Setiawan Maharani Maharani, Maharani Mesran Mesran Mesran, Mesran Mustaqim, Ilmawan Natalia Silalahi, Natalia Nelly Astuti Hasibuan Nidia Sutrikanti Noor Fitrihana Nova Suparmanto Nova Suparmanto Novan Edo Pratama Nur Endah Januarti Ovchinnikova, Brooks Praptiwi, Wahyu Kharina Priyatno, Priyatno Ridwan Yusuf Riko Septiantoko Sadiq Ullah Saputri, Tri Aristy Soraya Rahma Hayati Sri Lestari Sudaryono Sudaryono Suginam Sulistiyanto Sulistiyanto Sulistiyanto Sulistiyanto, Sulistiyanto Surya Darma Nasution Susanto, Tofan Sutiksno, Dian Utami Sven, Diaconescu Ada Syaputra, Muhammad Adie Taronisokhi Zebua Usep Saprudin Wahyu Kharina Praptiwi Yudan Hermawan Yuhandri Yuhandri, Yuhandri