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All Journal 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) 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
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Information Systems and Industrial Resource Planning Suparmanto, Nova; Nurdiyanto, Heri; Kharismawati, Anisa
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..
Fuzzy Preference Relations-Based AHP for Multi-Criteria Supplier Segmentation Heri Nurdiyanto; Chairani Fauzi; Sri Lestari
International Journal of Artificial Intelligence Research Vol 8, No 1 (2024): June 2024
Publisher : STMIK Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v7i1.1.1103

Abstract

Supplier segmentation is a strategic activity for businesses. It involves dividing suppliers into distinct categories and managing them differently. Various supplier typologies based on different dimensions and factors are available in the existing literature. By highlighting two main characteristics the skills and the desire of suppliers to work with a specific company this article integrates many typologies. Almost all of the supplier segmentation criteria stated in the literature are covered by these dimensions. These dimensions can be defined utilizing a multi-criteria decision-making process for each specific case. To account for the inherent ambiguities and uncertainties in human judgment, a fuzzy Analytic Hierarchy Process (AHP) is suggested as part of the technique. This approach makes use of fuzzy preference relations. A broiler firm uses the suggested process to divide up its suppliers. A categorization of vendors according to two aggregated criteria is the end outcome. Lastly, we offer some suggestions for future research, draw some conclusions, and talk about some techniques to address distinct sectors
Model Triple Helix in the Partnership of UNY, Industry, and Government for Research-Based Human Resource Development Darmono, Darmono; Nurdiyanto, Heri; Januarti, Nur Endah; Apriyanto, Krisnanda Dwi
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.
Digitalisasi Produk UMKM di Kabupaten Blora dalam Rangka Optimalisasi Usaha Darmono, Darmono; Ilma, Awla Akbar; Nurdiyanto, Heri; Wulandari, Ella; Susanto, Tofan; Sudaryono, Sudaryono; Praptiwi, Wahyu Kharina
Jurnal Masyarakat Madani Indonesia Vol. 4 No. 3 (2025): Agustus
Publisher : Alesha Media Digital

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59025/nnjrx063

Abstract

Digitalisasi produk menjadi strategi penting bagi Usaha Mikro, Kecil, dan Menengah (UMKM) untuk meningkatkan daya saing di era ekonomi digital. Kabupaten Blora sebagai salah satu wilayah dengan potensi UMKM yang beragam menghadapi tantangan dalam pemasaran, keterbatasan akses pasar, serta rendahnya pemanfaatan teknologi digital. Penelitian ini bertujuan untuk mengkaji proses digitalisasi produk UMKM di Kabupaten Blora dalam rangka optimalisasi usaha, khususnya melalui pemanfaatan e-commerce, media sosial, dan integrasi layanan finansial digital. Metode yang digunakan adalah studi deskriptif dengan pendekatan kualitatif, melalui wawancara, observasi, serta analisis dokumen terkait. Hasil penelitian menunjukkan bahwa digitalisasi memberikan dampak signifikan terhadap peningkatan visibilitas produk, perluasan jangkauan pasar, dan efisiensi operasional. Namun, masih terdapat kendala berupa keterbatasan literasi digital, infrastruktur teknologi, dan modal usaha. Dengan dukungan pelatihan, pendampingan, serta kolaborasi antara pemerintah daerah, akademisi, dan pelaku industri, UMKM di Blora berpotensi mengoptimalkan digitalisasi sebagai strategi pengembangan usaha berkelanjutan
Pelatihan dan Implementasi Media Pembelajaran AI bagi Guru SMP 17 1 Yogyakarta dalam Mendukung Pembelajaran Interaktif Mustaqim, Ilmawan; Rahman, Dzul Fadli; Nurdiyanto, Heri
Jurnal Masyarakat Madani Indonesia Vol. 4 No. 4 (2025): November (In Progress)
Publisher : Alesha Media Digital

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59025/efcgzj79

Abstract

Pelatihan dan implementasi media pembelajaran berbasis kecerdasan buatan (AI) menjadi salah satu strategi penting dalam meningkatkan kompetensi guru di era digital. Program pengabdian masyarakat ini dilaksanakan di SMP 17 1 Yogyakarta dengan tujuan membekali guru keterampilan dalam merancang media pembelajaran interaktif berbasis AI. Metode kegiatan meliputi observasi awal, penyusunan modul pelatihan, pelaksanaan pelatihan, pendampingan implementasi, serta evaluasi. Hasil kegiatan menunjukkan adanya peningkatan signifikan dalam kompetensi digital guru. Rata-rata nilai pre-test sebesar 58,2 meningkat menjadi 84,5 pada post-test, dengan tingkat kepuasan peserta mencapai 90,9%. Guru mampu memanfaatkan aplikasi AI untuk menghasilkan materi ajar yang lebih variatif, sementara siswa menunjukkan keterlibatan yang lebih tinggi dalam pembelajaran. Meskipun terdapat kendala berupa keterbatasan infrastruktur dan resistensi awal sebagian guru, program ini terbukti efektif dalam mendorong inovasi pembelajaran. Kegiatan ini diharapkan dapat berlanjut melalui evaluasi berkala dan pengembangan komunitas guru berbasis AI
Co-Authors A.A. Ketut Agung Cahyawan W Agus, Isnandar Aldi Muharsyah Apriyanto, Krisnanda Dwi Apsiswanto, Untoro Basiroh Basiroh Brooks Ovchinnikova Budi Sutomo Chairani Fauzi Darmono Diaconescu Ada Sven Dikki Handoko Edi Istiyono Efori Buulolo Ella Wulandari Envermy Vem, Envermy Eva Jeanette Fachrurrazi Fachrurrazi Febri Sugandi Francesco Bellman Galih Pranowo Hermanto Hermanto Hotmelinsa Situmorang Ibrahim Khalid Ilma, Awla Akbar Inas Ajeng Nur Afifah Iqbal Saeed Umar Irfan Setiawan Kharismawati, Anisa Khasanah Khasanah M Ikhsan Setiawan M Said Hasibuan Maharani Maharani, Maharani Mesran Mesran Mesran, Mesran Mustaqim, Ilmawan Natalia Silalahi, Natalia Nelly Astuti Hasibuan Nidia Sutrikanti Noor Fitrihana Nova Suparmanto Nur Endah Januarti Praptiwi, Wahyu Kharina Priyatno Priyatno Rahman, Dzul Fadli Ridwan Yusuf Sadiq Ullah Shahab Wahhab Kareem Singagerda, Faurani Santi Soraya Rahma Hayati Sri Lestari Sudaryono Sudaryono Suginam Sulistiyanto Sulistiyanto Surya Darma Nasution Susanto, Tofan Susetyaningsih, Ririn Sutiksno, Dian Utami Syaputra, Muhammad Adie Taronisokhi Zebua Tri Aristy Saputri Usep Saprudin Widowati Pusporini, Widowati Yuhandri Yuhandri, Yuhandri