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This Author published in this journals
All Journal Engineering and Technology International Journal (EATIJ) JADI (Jurnal Teknik Industri)
Ahmad Royan
Politeknik Negeri Jakarta
Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mechanical Engineering

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Design, Development, and Performance Evaluation of a Closed-System Batik Fabric Drying Machine for Small-Scale Industry Applications Arifia Ekayuliana; Fathan Dewadi; Nabila Yudisha; Ibnu Rosid; Al Fauzi; Muhamad Purdiatama; Adinda Ludwika; Ahmad Royan; Muhammad Nurcholis
Engineering and Technology International Journal Vol 7 No 03 (2025): Engineering and Technology International Journal (EATIJ)
Publisher : YCMM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55642/eatij.v7i03.1156

Abstract

This study presents the design and performance evaluation of a closed-system batik fabric drying machine for small-scale industries. The system integrates a spinner for initial dewatering and a hot-air blower with thermostatic control at 60 °C. Experimental tests examined drying time, temperature stability, and fabric quality. Results showed that 2 kg of batik fabric dried in 18 minutes—about 70 % faster than traditional sun drying. The closed-loop air circulation improved thermal uniformity (±1.5 °C deviation) and reduced energy use by 25 %. No color fading or fiber damage occurred, and ultraviolet lamps prevented microbial growth. This design demonstrates that combining mechanical efficiency, thermal control, and ergonomics can enhance energy efficiency and production reliability for micro-scale batik industries.
Digital Twin in Smart Manufacturing: A Systematic Literature Review on Predictive Decision-Making, Industrial Sustainability, and Process Optimization Fathan Dewadi; Ahmad Royan; Muhammad Nurcholis; Muhammad Pratama
JADI (Jurnal Teknik Industri) Vol. 2 No. 1 (2026): Smart Manufacturing
Publisher : CV. Indie Press Edutaste

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66865/bdb53m45

Abstract

The rapid advancement of Industry 4.0 has accelerated the adoption of Digital Twin (DT) technology in smart manufacturing systems. DT enables virtual replication of physical assets, supporting real-time monitoring, predictive analytics, simulation, and data-driven decision-making. This systematic literature review investigates the role of Digital Twin technology in predictive decision-making, process optimization, and industrial sustainability within smart manufacturing environments. The review synthesizes recent peer-reviewed studies from Scopus, Web of Science, and IEEE Xplore databases. Findings show that DT enhances operational efficiency through integration with machine learning, cyber-physical systems, and Industrial Internet of Things (IIoT), enabling improved maintenance strategies, energy efficiency, and production optimization. In addition, DT contributes to sustainability by reducing waste generation and supporting circular manufacturing practices. Despite its advantages, implementation challenges remain, including high deployment costs, interoperability issues, cybersecurity risks, and lack of data standardization. Overall, the study concludes that Digital Twin is a key enabling technology for future smart factories, particularly when integrated with artificial intelligence, edge computing, and cloud-based manufacturing systems.
Co-Authors Adinda Ludwika Al Fauzi Arifia Ekayuliana Fathan Dewadi Ibnu Rosid Muhamad Purdiatama Muhammad Nurcholis Muhammad Pratama Nabila Yudisha