Items where Division is "Teknologi Rekayasa Mekatronika" and Year is 2025

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Kurnia, Deni (2025) Smart vibration sensing and predictive analytics for intelligent textile manufacturing: An IoT-edge and machine learning method (TURNITIN CHECK). Universitas Muhamadiyah Magelang, Online.

Kurnia, Deni (2025) A hybrid pareto–fishbone and IoT-based monitoring framework for reducing DTY yarn defects (TURNITIN CHECK). Politeknik Negeri Lhokseumawe Aceh, Online.

Kurnia, Deni and Fakhrurroja, Hanif and Marno, Marno and Irhamdana, Joniko (2025) A hybrid pareto–fishbone and IoT-based monitoring framework for reducing DTY yarn defects. Polimesin, 23 (6): 5647. pp. 881-888. ISSN 1693-5462

Kurnia, Deni and Susanto, Agus and Fakhrurroja, Hanif and Son, Lovely (2025) Smart vibration sensing and predictive analytics for intelligent textile manufacturing: An IoT-edge and machine learning method. Mechanical Engineering for Society and Industry, 5 (2). pp. 353-366.

Kurnia, Deni and Sutanto, Agus and Fakhrurroja, Hanif (2025) AI and IoT for Yarn Defect Detection in the Textile Industry: A Systematic Literature Review. Journal of Scientific & Industrial Research, 84. pp. 1254-1264.

Kurnia, Deni and Sutanto, Agus and Fakhrurroja, Hanif (2025) AI and IoT for Yarn Defect Detection in the Textile Industry: A Systematic Literature Review (TURNITIN CHECK). CSIR-NIScPR https://or.niscpr.res.in › article, Online.

Kurnia, Deni and Sutanto, Agus and Fakhrurroja, Hanif and Son, Lovely (2025) Mapping IoT Applications in the Textile Industry: A Bibliometric Study using Biblioshiny and VOSviewer. In: Fostering Gen Z for Sustainable Development and Renewable Energy, Yogyakarta.

Kurnia, Deni and Sutanto, Agus and Fakhrurroja, Hanif and Son, Lovely (2025) Mapping IoT Applications in the Textile Industry: A Bibliometric Study using Biblioshiny and VOSviewer (TURNITIN CHECK). Universitas Muhamadiyah Yogyakarta, Online.