Items where Subject is "TJ Mechanical engineering and machinery"

Article

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 Riyadi, Slamet (2024) IoT Platform for Monitoring Systems Water pH in the Freshwater Fish Cultivation Process. Jurnal Teknologi, 16 (1): 14776. ISSN 2085 – 1669

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 and Roni Wibowo, Nanang (2024) Real-time identification of yarn irregularities on the DTY machine through vibration monitoring. Polimesin, 22 (6): 5847. pp. 693-698. ISSN 1693-5462

Conference or Workshop Item

Kurnia, Deni and Sutanto, Agus and Fakhrurroja, Hanif and Son, Lovely (2026) A Comparative Analysis of Machine Learning Algorithms for Detecting Spindle Anomaly in DTY Machine: Optimized Random Forest vs SVM. In: The 6th International Symposium on Advances and Innovation in Mechanical Engineering, 09/10/2025 - 09/10/2025 Padang, Indonesia, Padang.

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.

Other

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 Riyadi, Slamet (2024) IoT Platform for Monitoring Systems Water pH in the Freshwater Fish Cultivation Process (TURNITIN CHECK). Universitas Muhamadiyah Jakarta, Online.

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 (TURNITIN CHECK). Universitas Muhamadiyah Yogyakarta, Online.