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Journal of Renewable Engineering
Published by PT Anagata Sembagi Education
ISSN : -     EISSN : 30467624     DOI : https://doi.org/10.62872/zm22xb92
Core Subject : Engineering,
Automotive Engineering Civil Engineering, Building, Construction & Architecture Control & Systems Engineering Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering
The journal publishes original articles on current issues and trends occurring internationally in mechanical engineering, electrical engineering, civil engineering, physical engineering, chemical engineering, industrial engineering, informatics engineering, telecommunications engineering, computer engineering.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 4 Documents
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Search results for , issue "Vol. 3 No. 1 (2026): JORE - February" : 4 Documents clear
Utilization of AR & VR for the Development of Safety Training and Risk Mitigation Anggraeni, Dwi Puspita
Journal of Renewable Engineering Vol. 3 No. 1 (2026): JORE - February
Publisher : Pt. Anagata Sembagi Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62872/gwpr6197

Abstract

This study examines how Augmented Reality (AR) and Virtual Reality (VR) can be utilized to develop safer and more effective safety training while supporting performance assessment and behavioral change for risk mitigation in high-risk work environments. The background of the study arises from persistent workplace accidents in sectors such as construction, mining, healthcare, emergency response, and industrial processing, where conventional training methods often fail to provide realistic experiential preparation. This research employs a qualitative library research design by analyzing recent accredited journal studies on AR/VR applications in safety training. Data were collected through systematic documentation and analyzed using thematic content analysis focusing on immersive simulation, experiential learning, performance measurement, and behavioral outcomes. The findings show that AR/VR create zero-risk training environments that significantly improve hazard recognition, procedural skills, emergency readiness, and safety awareness compared to traditional approaches. In addition, AR/VR systems enable data-driven performance assessment by tracking user errors, response times, and compliance with safety protocols, fostering continuous improvement. The study concludes that AR and VR function as integrated systems for simulation, evaluation, and behavioral reinforcement, positioning them as strategic technologies for proactive risk mitigation in modern occupational safety management.
Performance and Emission Assessment of Tree-Based Biofuel Additives in Compression Ignition Engines: A Review Ilmi , Ilmi; Sitorus, Tulus Burhanuddin; Siagian, Parulian; Sihombing, Roland
Journal of Renewable Engineering Vol. 3 No. 1 (2026): JORE - February
Publisher : Pt. Anagata Sembagi Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62872/89zh4557

Abstract

This study reviews the performance and emissions of compression ignition (CI) engines using Calophyllum inophyllum (CIME/tamanu)-based biofuel additives through a narrative review of the latest international literature. Inclusion criteria encompassed CI engine test studies reporting efficiency metrics (BTE, BSFC) and key emissions (CO, HC, NOx, smoke/PM) for CIME blends (B10–B100) both without and with additive/mitigation strategies. In general, compared to diesel, CIME reduced CO, HC, and smoke/PM, with a trade-off increase in NOx. The addition of oxygenated additives (e.g., n-pentanol, dimethyl carbonate) and ignition improvers (e.g., DTBP) tends to improve combustion quality, reduce BSFC, and suppress CO/HC; while the application of approximately 10% EGR effectively reduces NOx with a moderate penalty on HC/CO/smoke. Nano-additives (graphene/MWCNT) show potential for increasing BTE and reducing smoke, but present issues of dispersion stability and safety/environment. The most balanced performance generally occurs at low–medium blends (≈B10–B20) combined with oxygenated additives and EGR-based NOx control, accompanied by proper injection calibration. From a sustainability perspective, C. inophyllum—as a non-food source with high FFA pretreatment requirements—has the potential to support transportation decarbonization, although industrial-scale success depends on supply chains, policies, and LCA/TEA results. Further studies are recommended on real-world test cycles, long-term durability, aftertreatment compatibility, and comprehensive environmental assessment.
Improving Textile Production Efficiency Through the Implementation of Lean Manufacturing in the Weaving Department Irwanto, Miko Mei
Journal of Renewable Engineering Vol. 3 No. 1 (2026): JORE - February
Publisher : Pt. Anagata Sembagi Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62872/17yqy036

Abstract

This study examines how a customized Lean Manufacturing approach can improve production efficiency in the weaving department of a textile company. Weaving operations frequently experience inefficiencies due to machine downtime, waiting time, excessive operator movement, and product defects, which create a gap between targeted and actual output. A quantitative case study design was applied using direct observation, time study, Value Stream Mapping, production records, and maintenance logs. Lean tools including 5S, Total Productive Maintenance, layout improvement, line balancing, poka yoke, and Kaizen were implemented in a pilot weaving area. The results indicate a significant reduction in machine downtime by 53 percent, waiting time by 59 percent, operator movement by 39 percent, and defect rate by 50 percent. Value Stream Mapping analysis further shows that non value added time decreased substantially while value added time remained stable, leading to a 24 percent reduction in total lead time and a 22 percent increase in daily production output. These findings confirm that Lean Manufacturing, when customized to the characteristics of weaving processes, effectively eliminates waste and enhances workflow. The study concludes that integrating Lean with maintenance and process standardization provides a practical strategy to bridge the gap between production targets and actual performance in textile weaving units.    
Development of High-Performance Engineered Textiles for Medical Applications: A Quality Function Deployment (QFD) Study Irwanto, Miko Mei; Pane, Akhmad Fauzi; Wijayanti, Atiek Ike
Journal of Renewable Engineering Vol. 3 No. 1 (2026): JORE - February
Publisher : Pt. Anagata Sembagi Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62872/0jjcs864

Abstract

The rapid growth of biomedical applications and the increasing demand for advanced healthcare solutions have intensified the need for high-performance engineered textiles in medical contexts. These textiles must simultaneously fulfill stringent clinical, mechanical, biological, and regulatory requirements. This study aims to develop and analyze a Quality Function Deployment (QFD) framework to systematically translate clinical and user requirements into prioritized engineering specifications for medical textile development. A quantitative–descriptive approach was employed using stakeholder surveys, expert interviews, and literature analysis to identify the Voice of Customer (VoC). The House of Quality matrix was constructed to evaluate relationships between customer needs and technical characteristics. The results indicate that biocompatibility, mechanical durability, and antimicrobial performance are the highest-priority customer requirements. Correspondingly, fiber material composition, fabric structure, and surface functionalization emerged as the most critical technical characteristics. The discussion demonstrates that QFD effectively reduces overdesign, enhances cross-disciplinary alignment, and improves resource allocation in product development. In conclusion, QFD provides a structured and strategic framework for optimizing the development of high-performance medical textiles, ensuring alignment between clinical expectations and engineering feasibility while supporting innovation sustainability.  

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