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All Journal JOURNAL OF MECHANICAL ENGINEERING, MANUFACTURES, MATERIALS AND ENERGY
Gede Arya Rachman
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Energy Industrial & Manufacturing Engineering Mechanical Engineering

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A Energy Efficiency Strategy in Manufacturing Industry Through Implementation of Automation Technology Gede Arya Rachman; Rifki Saiful; Ratna Ariati; Syukri M. Nur; Erkata Yandri
JOURNAL OF MECHANICAL ENGINEERING MANUFACTURES MATERIALS AND ENERGY Vol. 9 No. 1 (2025): June 2025 Edition
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jmemme.v9i1.13998

Abstract

The implementation of automation technology in the manufacturing industry has become a critical solution in facing global energy efficiency challenges. Amid increasing demands for reduced energy consumption and carbon emissions, the manufacturing sector is required to adopt innovative solutions in their operations. This study aims to analyze and evaluate energy efficiency strategies through the application of automation technology in the manufacturing sector, with a focus on optimizing energy consumption and increasing productivity. The research methodology uses both quantitative and qualitative approaches, including analysis of historical energy consumption data from 50 manufacturing facilities that have implemented automation systems, in-depth interviews with industry experts, and comparative evaluation of various automation technologies available in the market. The results show that the implementation of automation technology can reduce energy consumption by an average of 27.5% in the first 12 months, with an increase in production efficiency by 35%. Further analysis reveals that automation systems based on the Internet of Things (IoT) and artificial intelligence provide optimal results in energy management, with an average return on investment of 2.3 years. The integration of smart sensors and automated control systems has proven to be effective in optimizing energy use in production processes, predictive maintenance, and peak load management. The study also identified key challenges in implementation, including high initial investment costs, personnel training needs, and the complexity of system integration. The study found that key factors for successful implementation include strategic planning, top management support, and a comprehensive training program. In conclusion, the application of automation technology in the manufacturing industry is an effective strategy to achieve long-term energy efficiency, with the potential for significant savings and increased industrial competitiveness.
Techno – Economic Analysis for Biorefinery Gede Arya Rachman; Syukri M. Nur
JOURNAL OF MECHANICAL ENGINEERING MANUFACTURES MATERIALS AND ENERGY Vol. 9 No. 1 (2025): June 2025 Edition
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jmemme.v9i1.14014

Abstract

This comprehensive study explores the implementation of technical-economic analysis in the context of biorefinery, a key solution in the transition to a sustainable bio-based economy. The global biorefinery industry has witnessed significant growth, with a market value reaching USD 614.25 billion in 2022 and projected to grow at a CAGR of 8.2% through 2030. However, increasing energy consumption in biorefinery operations has raised concerns about economic efficiency and sustainability, underscoring the critical role of technical-economic analysis. This study adopts a bibliometric approach, integrating quantitative and qualitative analysis to systematically examine the implementation of technical-economic analysis in biorefinery. The study offers several key findings: (1) the chemical, manufacturing, and food processing sectors account for a significant share of energy consumption, with a potential reduction of 30-40% through biorefinery implementation; (2) the integration of technical-economic analysis in biorefinery operations has resulted in a 40% increase in biomass conversion efficiency, a 35% increase in resource utilization, and a 45% reduction in waste generation, while delivering an annual ROI of 22%; (3) the application of technical-economic analysis has resulted in substantial cost savings, energy efficiency, and reduced environmental impacts. The study also identifies challenges, such as high initial investment and potential resistance to change, as well as the need for further research on the scalability and transferability of the proposed framework. In addition, the findings highlight important policy and regulatory implications, emphasizing the need for targeted incentives and industry-specific guidelines to promote the integration of technical-economic analysis in biorefinery projects. This study provides a comprehensive understanding of the critical role of technical-economic analysis in transforming the biorefinery industry, paving the way for a more sustainable and resilient bio-based economy. The key insights and practical recommendations presented in this study can serve as valuable guidance for industry practitioners, policy makers, and researchers in advancing the adoption of this transformative strategy.
Bioenergy Industry Management Challenges and Opportunities in the Energy Transition Era Gede Arya Rachman; Syukri M. Nur
JOURNAL OF MECHANICAL ENGINEERING MANUFACTURES MATERIALS AND ENERGY Vol. 9 No. 1 (2025): June 2025 Edition
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jmemme.v9i1.14015

Abstract

The era of global energy transition has positioned bioenergy as a critical component in diversifying renewable energy sources. This study aims to analyze the implementation of bioenergy industry management in the context of energy transition, with a focus on the development of an integrated risk management framework and operational optimization. Through a systematic literature review (SLR) approach to publications from the 2019-2024 period from the Scopus, Web of Science, Science Direct, and ProQuest databases, this study integrates findings from 247 selected articles. The results of the analysis show a significant increase in operational efficiency of up to 45% through the implementation of an integrated risk management framework, including a real-time monitoring system and an AI-based decision-making platform. The financial impact analysis reveals a reduction in OPEX of 34.4% and an increase in CAPEX ROI from 15.3% to 22.8%. From an environmental perspective, the implementation of the framework has succeeded in reducing CO2e emissions by 36.5% and water use by 25%. This study identifies four main challenges in implementation: technology gaps, supply chain complexity, immature regulatory frameworks, and the need for human resource development. The developed framework integrates technical, economic, and social aspects, providing practical guidance for the industry in the transition to sustainable bioenergy. This research contributes to the development of theoretical framework and practical guidelines for bioenergy industry management, while opening up new research opportunities in the integration of blockchain, IoT, and advanced AI technologies for operational optimization. The results show that continuous evolution in the management approach of the bioenergy industry is key to realizing an effective and sustainable energy transition.
Analysis of the Effect of Biodiesel Use on the Wear of Heavy Equipment Machinery Components in the Mining Industry Gede Arya Rachman; Syukri M. Nur
JOURNAL OF MECHANICAL ENGINEERING MANUFACTURES MATERIALS AND ENERGY Vol. 9 No. 2 (2025): December 2025 Edition
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jmemme.v9i2.14577

Abstract

This study analyzes the effect of the use of B30/B35 biodiesel on the wear of heavy equipment engine components in the Indonesian mining industry. Through a longitudinal experimental design for 12 months, the study was conducted on 24 units of heavy equipment consisting of excavators, bulldozers, and articulated dump trucks in three different mining locations: a coal mine in East Kalimantan, a nickel mine in Southeast Sulawesi, and a gold mine in Papua. The results show that the use of B30/B35 biodiesel consistently reduces the wear rate of components compared to conventional diesel. Nozzle injector wear in the biodiesel group is 18.6% lower, piston ring wear is 15.3% lower, cylinder liner wear is 12.7% lower, and bearing wear is 14.2% lower. SEM and EDS analysis revealed that biodiesel forms a tribochemical layer on metal surfaces that reduces direct contact between surfaces and minimizes wear. The analysis of the lubricant showed lower concentration of metal particles and better lubricant quality parameters in the biodiesel group. The developed predictive model indicates an extension of component life of around 15-20% with the use of biodiesel, potentially providing maintenance cost savings of 12-18% per year. These findings change the perception that the use of biodiesel is solely regulatory compliance, to an operational strategy that provides economic and technical benefits. This study provides a scientific basis for the optimization of preventive maintenance programs for mining heavy equipment that uses biodiesel and supports the sustainability of the implementation of the national mandatory biodiesel policy.
Co-Authors Erkata Yandri Ratna Ariati Rifki Saiful Syukri M. Nur