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Energy: Jurnal Ilmiah Ilmu-ilmu Teknik
Published by Universitas Panca Marga Probolinggo
ISSN : 20884591     EISSN : 29622565     DOI : https://doi.org/10.51747/energy.vol15no1
Core Subject : Science, Engineering,
Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering
Energy Journal serves as a platform for information and communication of various research findings and scientific writings in the field of engineering, contributed by practitioners, researchers, and academics who are involved in and have a keen interest in the development of science and technology. The scope of the Energy Journal covers all branches of engineering, including but not limited to: Electrical Engineering Mechanical Engineering Industrial Engineering Engineering Physics Chemical Engineering Materials and Metallurgical Engineering Environmental Engineering Mining Engineering Civil Engineering Architectural Engineering Computer Engineering Informatics Engineering Geodesy and Geomatics Engineering And other engineering disciplines not explicitly mentioned
Arjuna Subject : Energi (semua kategori) - Energi (Lain-Lain)
Articles 105 Documents
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Inventory Discrepancy Risk Analysis and Mitigation Prioritization at Finished Goods Warehouse Using the House of Risk Method Resi Khalisya Wildani; Siti Rahayu; Rini Siskayanti
ENERGY: JURNAL ILMIAH ILMU-ILMU TEKNIK Vol. 16 No. 2 (2026): ENERGY: JURNAL ILMIAH ILMU-ILMU TEKNIK (July-November 2026 Edition)
Publisher : Universitas Panca Marga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51747/energy.v16i2.p270-287

Abstract

Inventory discrepancy in finished goods warehouses reduces inventory accuracy and may disrupt warehouse operations and product distribution. This study was conducted at PT Alpha Plastic Manufacturing (a pseudonym), a plastic injection moulding company operating in the plastic manufacturing sector that manages a finished goods warehouse for injection-moulded components supplied for industrial applications. This study aims to analyze the causes of inventory discrepancy and determine appropriate mitigation strategies by integrating the Supply Chain Operations Reference (SCOR) model and the House of Risk (HOR) method. A descriptive quantitative approach was employed using observation, interviews, focus group discussions, company documents, and questionnaires involving three warehouse experts. The SCOR model was used to identify risk events and risk agents, while HOR Phase 1 prioritized risk agents using Aggregate Risk Potential (ARP), and HOR Phase 2 determined preventive actions based on the Effectiveness-to-Difficulty Ratio (ETD). The integration of SCOR and HOR provides a systematic approach to connect warehouse operational activities, priority risk sources, and feasible mitigation strategies. The results identified 10 risk events and 8 risk agents, with six priority risk agents contributing 86.36% of the total ARP value and five priority preventive actions contributing 66.97% of the total ETD value. Based on the investigated case, the findings indicate that strengthening warehouse procedures and operational controls should become the initial priority for reducing inventory discrepancy before implementing advanced inventory technologies.
Quality Improvement Analysis of Timing Chain Cover Components Using Six Sigma DMAIC in an Automotive Component Assembly Line Rizky Fari Riandy; Agus Suwarno; Annisa Syahliantina
ENERGY: JURNAL ILMIAH ILMU-ILMU TEKNIK Vol. 16 No. 2 (2026): ENERGY: JURNAL ILMIAH ILMU-ILMU TEKNIK (July-November 2026 Edition)
Publisher : Universitas Panca Marga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51747/energy.v16i2.p288-304

Abstract

Product quality is a critical factor in maintaining process stability and competitiveness in the automotive component manufacturing industry. An automotive component manufacturing company in Karawang, Indonesia, experienced quality problems in the Timing Chain Cover assembly process, particularly porosity and dantsuki defects. This study aims to analyze the defect rate, identify dominant critical-to-quality (CTQ) defects, evaluate process capability, determine potential defect causes, and propose improvement and control actions using the Six Sigma DMAIC approach. The research used production and quality inspection data from January to June 2025. The analysis was conducted through the Define, Measure, Analyze, Improve, and Control stages using defect rate, Defect Per Unit, Defects Per Million Opportunities, sigma level, p-chart, Pareto analysis, fishbone diagram, and 5W+1H improvement planning. The results showed that 1,142 CTQ defects were found from 64,130 units produced, consisting of 611 porosity defects and 531 dantsuki defects. The average defect rate was 1.78%, exceeding the company’s internal target of less than 1.5%. The average DPMO value was 8,899, with a process capability level of 3.87 sigma. The p-chart result indicated that the process was statistically stable, but stable at a defect level that remained above the company target. The potential causes of defects were related to machine parameter stability, mould condition, SOP compliance, inspection discipline, material handling, measurement control, and workplace conditions. This study proposes prioritized improvement actions and a measurable control plan as recommendations for future implementation. The findings provide a practical DMAIC-based framework for identifying dominant defects, evaluating process capability, and developing structured quality improvement strategies in automotive component assembly processes.
Determinants of Behavior-Based Safety Performance in Coal-Fired Power Plants Using Structural Equation Modeling Aulia Maulana Azkiya; Prima Vitasari; Renny Septiari
ENERGY: JURNAL ILMIAH ILMU-ILMU TEKNIK Vol. 16 No. 2 (2026): ENERGY: JURNAL ILMIAH ILMU-ILMU TEKNIK (July-November 2026 Edition)
Publisher : Universitas Panca Marga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51747/energy.v16i2.p348-360

Abstract

Occupational safety is a critical issue in coal-fired power generation industries due to the high-risk nature of operational and maintenance activities. Preliminary observations at a power generation company identified several unsafe behaviors, including non-compliance with work permits, improper use of personal protective equipment (PPE), violations of standard operating procedures, unsafe workplace arrangements, and inappropriate behavior during hazardous activities. This study aimed to identify factors influencing Behavior-Based Safety (BBS) and determine the most significant predictors of employees’ safety behavior. A quantitative cross-sectional approach was applied, with data analyzed using Exploratory Factor Analysis (EFA), Confirmatory Factor Analysis (CFA), and Structural Equation Modeling (SEM). The results indicated that employee attitude (p = 0.004) and the implementation of occupational health and safety (OHS) regulations (p = 0.003) had significant positive effects on safety behavior (p < 0.05). Meanwhile, safety knowledge, work motivation, PPE availability, OHS training, reward systems, and punishment mechanisms showed no significant influence on BBS (p > 0.05). These findings highlight that strengthening safety attitudes and organizational OHS implementation plays a more dominant role in improving employee safety behavior compared to knowledge-based and incentive-based interventions. The SEM model developed in this study can support safety management strategies and contribute to establishing a sustainable zero-accident culture in high-risk industries.
Classification of Electrical Distribution Materials Based on Weight and Volume for Warehouse and Transportation Capacity Planning Achmad Freddya Eka Prasandha; Adithya Sudiarno; Rizki Revianto Putera
ENERGY: JURNAL ILMIAH ILMU-ILMU TEKNIK Vol. 16 No. 2 (2026): ENERGY: JURNAL ILMIAH ILMU-ILMU TEKNIK (July-November 2026 Edition)
Publisher : Universitas Panca Marga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51747/energy.v16i2.p361-373

Abstract

Electricity distribution logistics involves highly heterogeneous materials with different physical characteristics, creating challenges for warehouse capacity and transportation planning. Conventional material classification approaches mainly focus on economic value, demand frequency, or criticality, while physical logistics burdens generated by material weight and volume remain insufficiently represented. This study develops a weight–volume-based classification framework for electricity distribution materials to support physical logistics planning. A quantitative descriptive approach was applied using material master data and historical demand records from electricity distribution facilities in Central Java and the Special Region of Yogyakarta, Indonesia. Materials were classified into representative categories based on material characteristics, unit weight, and unit volume. Historical demand was then converted into total physical loads expressed in kilograms and cubic meters and aggregated by logistics location. The results identified 24 representative material categories with unit weights ranging from 0.50 to 3,300 kg and unit volumes from less than 0.01 to 4.40 m³. The highest physical demand was observed at UP3 Jogja, reaching 59.30 million kg and 120,221.83 m³. The findings demonstrate that material quantity alone is insufficient to represent logistics requirements in heterogeneous electricity distribution systems. The proposed weight–volume classification provides a practical basis for warehouse capacity evaluation, material handling planning, and transportation resource allocation.
The Impact of Energy Price Volatility on Industrial Performance: A Review of Energy Efficiency and Renewable-Energy Adoption Alief Muhammad; Mas Ahmad Baihaqi; Hartawan Abdillah; Tamam Asrori
ENERGY: JURNAL ILMIAH ILMU-ILMU TEKNIK Vol. 16 No. 2 (2026): ENERGY: JURNAL ILMIAH ILMU-ILMU TEKNIK (July-November 2026 Edition)
Publisher : Universitas Panca Marga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51747/energy.v16i2.p212-228

Abstract

The increasing volatility of global energy markets has created significant challenges for industrial sectors by increasing production costs, reducing competitiveness, and threatening operational stability. This study investigates how energy price volatility influences industrial performance and examines the roles of energy efficiency and renewable-energy adoption as adaptation mechanisms. A systematic literature review (SLR) was conducted based on 298 peer-reviewed articles published between 2020 and 2026 from Scopus, Web of Science, ScienceDirect, and Google Scholar. The selected studies were analyzed using thematic synthesis to identify major research trends, causal mechanisms, and emerging research gaps. The findings reveal that energy price volatility represents a critical external shock affecting industrial performance through increased operational costs, supply-chain disruption, investment uncertainty, and reduced competitiveness. However, the literature also demonstrates that firms can reduce vulnerability through internal adaptation capabilities. Energy efficiency functions as a strategic capability by reducing energy intensity, improving operational flexibility, and mitigating cost pressures, while renewable-energy adoption provides a buffering mechanism by diversifying energy sources and reducing dependence on volatile fossil-fuel markets. The review integrates Resource Dependence Theory, Resource-Based View, Dynamic Capability Theory, and Natural Resource-Based View to explain how industrial firms transform energy uncertainty into resilience capabilities. The study highlights that future industrial competitiveness will depend not only on access to affordable energy but also on firms’ ability to develop adaptive energy strategies, digital energy-management capabilities, and sustainable energy systems. This review provides a conceptual foundation for understanding industrial resilience under increasing global energy uncertainty.

Page 11 of 11 | Total Record : 105

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