cover
Contact Name
Mas Ahmad Baihaqi
Contact Email
energy@upm.ac.id
Phone
+6282257778687
Journal Mail Official
energy@upm.ac.id
Editorial Address
Jl. Yos Sudarso No. 107, Pabean, Kec. Dringu, Kabupaten Probolinggo, Jawa Timur, kode pos 67271
Location
Kab. probolinggo,
Jawa timur
INDONESIA
Energy: Jurnal Ilmiah Ilmu-ilmu Teknik
ISSN : 20884591     EISSN : 29622565     DOI : https://doi.org/10.51747/energy.vol15no1
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
Articles 105 Documents
Web-based Mobile New Student Admission Information System at Darul Fikri Wattarbiyah Islamic Boarding School M. Erwin; Yulina
ENERGY: JURNAL ILMIAH ILMU-ILMU TEKNIK Vol. 16 No. 1 (2026): ENERGY: JURNAL ILMIAH ILMU-ILMU TEKNIK (January-May 2026 Edition)
Publisher : Universitas Panca Marga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51747/energy.v16i1.1619

Abstract

Darul Fikri Wattarbiyah Islamic Boarding School currently faces challenges in the efficient management of new student admissions due to its conventional and manual registration system. This poses a risk of data redundancy, difficulty in quickly validating files, and limited accessibility for prospective guardians outside the region. This study aims to design and build a mobile web-based New Student Admissions Information System (PSB) to digitize the entire registration cycle. The system was developed using the Waterfall method, which includes sequential stages of needs analysis, system design, coding, and testing. The selection of a mobile web platform is intended to allow the system to be accessed flexibly via mobile devices without requiring the installation of additional applications. The result of this study is an integrated platform capable of managing digital forms, uploading required files, administrative validation by the committee, and announcing selection results in real time. The implementation of this system is expected to improve data transparency, accelerate the operational performance of the PSB committee, and provide easy access for the community to reach educational services at Darul Fikri Wattarbiyah Islamic Boarding School in a more professional and efficient manner.
RCM-Based Maintenance Strategy for Coating Machine Downtime Reductione Yeriko Holman Oktavianus; Siti Rahayu; Andini Putri Riandani
ENERGY: JURNAL ILMIAH ILMU-ILMU TEKNIK Vol. 16 No. 1 (2026): ENERGY: JURNAL ILMIAH ILMU-ILMU TEKNIK (January-May 2026 Edition)
Publisher : Universitas Panca Marga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51747/energy.v16i1.16113

Abstract

The coating machine plays a critical role in pharmaceutical production because it affects coating uniformity, drying stability, product quality, and production continuity. However, maintenance studies on pharmaceutical coating machines are still limited, especially those that integrate reliability indicators, downtime dominance analysis, failure risk assessment, root cause analysis, and RCM decision logic into one structured maintenance framework. This study proposes an integrated RCM-based reliability decision framework to identify critical components and formulate maintenance priorities for reducing coating machine downtime at PT. Triyasa Nagamas Farma. The framework combines Mean Time Between Failure (MTBF), Mean Time to Repair (MTTR), Availability, Pareto analysis, Failure Mode and Effect Analysis (FMEA), Risk Priority Number (RPN), Fishbone Diagram, and internal operational benchmarking. The results showed that the coating machine experienced 12 failure events with a total downtime of 1,110 minutes, an MTBF of 743.92 minutes/failure, an MTTR of 92.50 minutes/failure, and an Availability of 88.94%. Pareto analysis indicated that the blower, spray gun/nozzle, and coating drum contributed 81.08% of total downtime. FMEA identified the blower as the most critical component, with the highest RPN value of 384 and the largest downtime contribution of 390 minutes. Internal benchmarking between March and April showed a 45.83% downtime reduction, a 125.21% increase in MTBF, a 24.17% decrease in MTTR, and a 10.76 percentage-point increase in Availability. The proposed strategy emphasizes preventive and condition-based maintenance through airflow inspection, filter cleaning, motor temperature monitoring, nozzle cleaning, control panel calibration, and coating drum inspection. This study contributes by providing a structured reliability-based maintenance priority framework for pharmaceutical coating machine operations.
Optimizing Toluene Inventory Control Using Economic Order Quantity Muhammad Nabil Arijuddin; Siti Rahayu; Andini Putri Riandani
ENERGY: JURNAL ILMIAH ILMU-ILMU TEKNIK Vol. 16 No. 1 (2026): ENERGY: JURNAL ILMIAH ILMU-ILMU TEKNIK (January-May 2026 Edition)
Publisher : Universitas Panca Marga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51747/energy.v16i1.16112

Abstract

Raw material inventory control plays an important role in maintaining production continuity and reducing inventory costs. CV. AK INDOPRIMA, a thinner manufacturing company, still determines the quantity and timing of Toluene raw material orders based on estimation. This condition causes inventory fluctuations, including overstock in several periods and shortage risk in other periods. This study aims to analyze the company’s current inventory control system and determine an optimal inventory policy using the Economic Order Quantity (EOQ) method, supported by Safety Stock, Reorder Point (ROP), and Total Inventory Cost (TIC) calculations. This study used a quantitative descriptive method. Data were collected through observation, interviews, and company documentation for the January to December 2025 period. The results showed that the annual demand for Toluene was 183,600 liters. The EOQ calculation produced an optimal order quantity of 5,777.70 liters per order, with an ordering frequency of 32 times per year or every 9 days. The Safety Stock was 2,799 liters, while the Reorder Point was 5,859 liters. The Total Inventory Cost based on the EOQ policy was IDR 63,554,796 per year. These results indicate that the integrated EOQ-based policy can provide a more structured inventory control system by determining order quantity, safety inventory, reorder timing, and annual inventory cost. From a managerial perspective, the proposed policy can help managers reduce subjective purchasing decisions, establish a measurable ordering schedule, prevent excessive stock accumulation, reduce shortage risk, and maintain the availability of Toluene raw material to support production continuity at CV. AK INDOPRIMA.
Optimization of pH Control in Acetic Acid (CH₃COOH)–Sodium Hydroxide (NaOH) Neutralization Process Using a Fuzzy Logic Controller Arfittariah; Turahyo; Abadi Nugroho; Mey Lista Tauryawati
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.p374-387

Abstract

Conventional control systems, such as Proportional-Integral-Derivative (PID) controllers, have been widely applied in industrial process control due to their simple structure. However, these systems exhibit significant limitations when dealing with highly nonlinear processes and require retuning whenever plant conditions change. The pH control process represents one of the nonlinear systems in which small variations in hydrogen ion (H⁺) concentration can cause substantial changes in pH values. This study develops an acetic acid (CH₃COOH) and sodium hydroxide (NaOH) titration model as a case study and designs a pH control system based on a Fuzzy Logic Controller (FLC). The proposed FLC system employs two input variables, namely error (with a membership function range of −1 to 1) and error change (Δerror) (with a membership function range of −0.5 to 0.5), along with one output variable representing valve position (with a membership function range of 4–20). Simulations were conducted at three pH set points (4, 7, and 10) to evaluate the dynamic response characteristics of the proposed control system. The simulation results demonstrate that the FLC is capable of achieving a steady-state error below 0.5% for all evaluated set points. Furthermore, the overall simulation error remains below 5%, indicating that the developed titration model provides adequate accuracy. This study confirms that FLC is an effective approach for handling nonlinear characteristics in pH control processes.
Integrated ABC–AHP–TOPSIS Model for Used Distribution Material Management at PLN UP3 Mamuju Thomi; Niniet Indah Arvitrida
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.p318-332

Abstract

The management of used distribution materials at PT PLN UP3 Mamuju faces challenges related to idle inventory, dead stock, subjective decision-making, and the absence of a systematic prioritization framework. These issues reduce material utilization and limit the recovery of asset value. This study develops an integrated multi-criteria decision-making model by combining ABC Classification, the Analytical Hierarchy Process (AHP), and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) to support objective and structured management of used distribution materials. The novelty of this study lies in the integration of inventory classification, multi-criteria weighting, and alternative ranking within a single decision-support framework for distribution material management, complemented by an economic feasibility evaluation. ABC Classification was used to identify economically significant materials, AHP to determine the relative importance of decision criteria, and TOPSIS to prioritize management alternatives, including reuse, redistribution, scrap, and disposal. The results indicate that safety is the most influential decision criterion, while conductors and distribution cables represent the highest-priority materials for reuse. The proposed model improves decision consistency, increases material utilization, reduces inventory losses, and generates significant economic benefits with a highly feasible investment. Overall, the integrated ABC–AHP–TOPSIS framework provides a practical decision-support tool for improving operational efficiency, optimizing asset value recovery, and supporting sustainable distribution material management in electric utility companies.
Component Reliability and Fleet Utilization for Spare Parts Management at Sidotopo Locomotive Depot Abdul Rochim; Niniet Indah Arvitrida; Suparno
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.p333-347

Abstract

Locomotive reliability and spare parts availability are essential for maintaining railway operational performance and service continuity. However, previous studies have generally focused on component reliability or inventory management separately, with limited attention to integrating component reliability, fleet utilization, and spare parts demand characteristics into a unified framework for spare parts management. This study aims to address this gap by developing a reliability-based approach for identifying critical spare parts at Sidotopo Locomotive Depot, Operational Region 8 Surabaya, PT Kereta Api Indonesia (Persero). Historical maintenance and operational data were analyzed using Pareto analysis, material reconciliation, expert judgment, reliability analysis, fleet utilization assessment, and demand pattern classification. The analysis identified four critical components: AEP5, Victaulic 3.5", Flexible Hose, and Deadman. Weibull, Lognormal, and Exponential distributions were evaluated, and all components were found to follow the Weibull distribution, indicating wear-out failure behavior. At 1,008 operating hours, AEP5 exhibited the highest reliability, whereas Flexible Hose showed the lowest. Demand analysis classified AEP5 and Flexible Hose as intermittent demand, while Victaulic 3.5" and Deadman were categorized as lumpy demand. Fleet utilization analysis further revealed differences in component operating performance, providing additional insight into replacement priorities. The findings demonstrate that integrating reliability, fleet utilization, and demand characteristics provides a comprehensive basis for identifying critical spare parts, supporting maintenance planning, and improving inventory management in railway operations.
Techno-Economic Optimization of Diesel–PV Hybrid Systems for Isolated Island Grids: Case Study of Tomia Island, Indonesia Romi Adi Sanjaya Sebayang; Wawan Aries Widodo
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.p239-254

Abstract

Tomia Island, an isolated power system in Wakatobi Regency, Indonesia, relies primarily on diesel power generation, resulting in high operating costs, fuel dependency, and greenhouse gas emissions. Although the island has abundant solar energy resources, determining an appropriate photovoltaic (PV) capacity that balances technical performance, economic feasibility, and land availability remains a key challenge. This study aims to identify the optimal hybrid PV–diesel configuration to support a reliable and sustainable electricity supply. The analysis combined solar resource assessment, land suitability evaluation, and energy system modeling using the Low Emissions Analysis Platform (LEAP). Several development scenarios were compared to identify the most suitable system configuration based on technical and economic performance. The results indicate that a 2.5 MWp PV system integrated with a 4 MWh Battery Energy Storage System (BESS) provides the best balance between renewable energy utilization, system reliability, and investment cost. Compared with larger PV capacities, this configuration delivers substantial reductions in diesel fuel consumption and carbon emissions while avoiding unnecessary increases in investment and excess energy production. In addition, the integration of BESS improves supply reliability by storing surplus solar energy and supplying electricity during periods of low solar generation. Economic evaluation confirms that the proposed hybrid system is financially feasible, offering a competitive cost of electricity and a relatively short investment payback period. These findings demonstrate that the proposed PV–BESS–diesel configuration provides a practical and cost-effective pathway for reducing diesel dependence and accelerating the energy transition in isolated island power systems
Comparative Finite Element Analysis of Wear Repair Methods for Vertical Kaplan Turbine Shafts Based on Structural and Dynamic Responses Marudut Tarihoran; Achmad Syaifudin
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.p305-317

Abstract

Non-uniform journal wear on the vertical Kaplan turbine shaft increases shaft–bearing clearance, resulting in higher vibration and reduced operational reliability. This study evaluates the structural and dynamic effects of shaft wear and compares two restoration methods: Belzona 1111 coating and an SS410 stainless-steel shock sleeve. Finite Element Analysis (FEA) was performed in ANSYS Workbench using static structural and modal analyses for four shaft conditions: intact, worn, Belzona-restored, and shock sleeve-repaired. The numerical model was validated against the theoretical critical speed, yielding an error of 8.32%. The worn shaft exhibited the highest radial deformation (0.033123 mm), indicating a significant reduction in structural stiffness. Belzona restoration reduced deformation by 36.23%, while the SS410 shock sleeve achieved a 97.68% reduction, restoring shaft deformation close to the intact condition (0.00076983 mm). Although natural frequencies showed only minor variations among all cases, the shock sleeve produced the smallest deviation from the intact shaft and the most symmetrical mode shapes, indicating superior dynamic performance. The results demonstrate that journal wear primarily degrades shaft stiffness rather than natural frequencies. Among the evaluated restoration methods, machining followed by installation of an SS410 shock sleeve provides the closest structural and dynamic characteristics to the original shaft, making it the most effective solution for improving the reliability and operational stability of vertical Kaplan turbine shafts.
Major Accident Hazard Analysis and Determination of Safety Critical Elements at Gresik Gas Distribution Station Using the HAZOP Method Jasillatul Hikmiyah; Dyah Santhi Dewi; Nurhadi Siswanto
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.p255-269

Abstract

The Gresik Gas Distribution Station (GDS) is a critical natural gas facility operating under high-pressure conditions, where process failures may lead to Major Accident Hazards (MAHs). Therefore, systematic hazard identification is essential to ensure process safety and operational reliability. This study aims to identify potential MAHs and determine the Safety Critical Elements (SCEs) required to prevent and manage these hazards. The study employed the Hazard and Operability Study (HAZOP) method to evaluate three key process nodes: the metering and regulating system, odorant injection system, and instrument air system. Process deviations were analyzed using guide words, followed by risk assessment to identify MAHs. Safety Critical Elements were subsequently identified based on their safety functions, including the prevention, detection, control, mitigation, and recovery of MAH events. The analysis identified 17 potential causes classified as Major Accident Hazards and 76 Safety Critical Elements, grouped into 26 SCE types. Based on the criticality assessment, 4 SCEs were classified as high criticality, 9 as medium criticality, and 13 as low criticality. The most critical SCEs were HC Pipework, Level Indicator, Fixed Point Flammable Gas Detectors, and Flame Detectors. These findings demonstrate that the HAZOP-based approach effectively identifies Major Accident Hazards and establishes priorities for Safety Critical Element management, providing a practical basis for improving process safety and operational reliability in natural gas distribution facilities.
Improving Energy Efficiency in Flavor Enhancer Production Using an Integrated Lean Manufacturing and Energy Value Stream Mapping Approach Ahmad Habib Ramadhana; Putu Dana Karningsih
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.p229-238

Abstract

The flavor enhancer industry faces significant challenges in improving energy efficiency because steam, electricity, and cooling utilities contribute approximately 16% of the Cost of Goods Manufactured (COGM). Although Lean Manufacturing has been implemented, most improvement initiatives have focused on production output and defect reduction rather than energy efficiency. This study aims to identify and reduce operational and energy waste in the Refinery unit using the Energy Value Stream Mapping (EVSM) approach. The proposed framework integrates EVSM for process and energy flow mapping, the Dotoli Matrix for critical waste prioritization, Root Cause Analysis using the 5 Whys method for identifying the underlying causes of waste, and Heat Exchanger Network (HEN) analysis for evaluating energy recovery opportunities, thereby providing a comprehensive approach to energy mapping, waste prioritization, root cause identification, and energy recovery evaluation. The results indicate that the dominant wastes are excessive cooling energy consumption and defect waste caused by delayed thin broth handling. Improvement proposals were developed through Heat Exchanger Network integration by utilizing glutamic mother liquor-1 as an internal cooling medium, generating potential savings of IDR 1,229,384,800 per year with a payback period of 2.4 years. In addition, the implementation of an automatic spray ball system reduced tank cleaning time from 49 minutes to 19 minutes and generated potential savings of IDR 274,007,580.52 per year. The study demonstrates that integrating Lean Manufacturing and EVSM effectively reduces energy consumption and operational waste in the Refinery unit.

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