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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 39 Documents
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Geochemical and Mineralogical Analysis of Mining Tailings in Mimika Regency for Reutilization Potential Evaluation Nilam Sry Putri; Abd Rahim
ENERGY: JURNAL ILMIAH ILMU-ILMU TEKNIK Vol. 15 No. 2 (2025): ENERGY: JURNAL ILMIAH ILMU-ILMU TEKNIK (July-November 2025 Edition)
Publisher : Universitas Panca Marga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51747/energy.v15i2.15213

Abstract

This study characterizes the geochemical, mineralogical, and morphological properties of mine tailings along the Kali Kabur River in Mimika Regency, Central Papua. The tailings, generated by mining activities, contain valuable metallic minerals, including iron (Fe), copper (Cu), and titanium (Ti). Using X-Ray Fluorescence (XRF), X-Ray Diffraction (XRD), and Scanning Electron Microscope–Energy Dispersive X-Ray Spectroscopy (SEM–EDS), we identified major oxides (Fe₂O₃, SiO₂, CaO) and minerals (quartz, magnetite, ilmenite, chalcopyrite). Results indicate that the tailings possess potential for reutilization as secondary resources for metal extraction and as raw materials for iron sand production. This research provides novel insights into sustainable tailings management and offers guidance for local industries in the reutilization of mining waste, contributing to circular economy practices.
Risk Factors Causing Occupational Accidents Using the FMEA and Fishbone Methods in the Particle Board Division of PT. Kutai Timber Indonesia Trismawati; Nadia Putri; Haryono; Tri Prihatiningsih
ENERGY: JURNAL ILMIAH ILMU-ILMU TEKNIK Vol. 15 No. 2 (2025): ENERGY: JURNAL ILMIAH ILMU-ILMU TEKNIK (July-November 2025 Edition)
Publisher : Universitas Panca Marga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51747/energy.v15i2.15217

Abstract

Occupational Health and Safety (OHS) is an essential aspect of industrial operations, aimed at preventing workplace accidents and maintaining a safe and productive environment. The Particle Board Division of PT. Kutai Timber Indonesia faces high accident risks due to heavy machinery and high-temperature processes. This study evaluates potential occupational hazards using the Failure Mode and Effects Analysis (FMEA) and Fishbone Diagram methods. FMEA is used to prioritize risks based on the Risk Priority Number (RPN), while the Fishbone Diagram identifies the root causes of critical hazards. The highest identified risk is the absence of an emergency response team in each shift (RPN = 148.5). Other major risks include inadequate monitoring of corrective actions, poor documentation systems, low employee involvement in hazard identification, and insufficient technical controls. Recommendations include forming emergency response teams, conducting regular safety training, improving documentation systems, and enhancing technical and administrative controls. Implementing these measures is expected to reduce accident rates and strengthen the safety culture in the company.
Analysis of System Reporting and Validation in DC Microgrid DSC Research: An Ex Post Facto Reproducibility Study Khusnul Hidayat; Arif Nur Afandi; Hakku Elmunsyah; Siti Sendari
ENERGY: JURNAL ILMIAH ILMU-ILMU TEKNIK ENERGY: JURNAL ILMIAH ILMU-ILMU TEKNIK (Special Issue on Engineering Paradigm 2025 Edition)
Publisher : Universitas Panca Marga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51747/energy.si2025.256

Abstract

Distributed secondary control (DSC) is essential for voltage regulation and current sharing in DC microgrids with high renewable penetration. However, the diversity of system configurations, control strategies, and validation approaches challenges the reproducibility of published results. This study evaluates reporting and validation practices in 74 DSC-related articles from a reproducibility and research ethics perspective. Using a document-based ex post facto design, we construct a Reproducibility Readiness Index (RRI) based on system configuration reporting, validation completeness, and performance metric clarity. Results show that most studies exhibit low to medium reproducibility readiness, with only about one third achieving high levels. While system descriptions are generally adequate, validation setups and performance metrics are often incomplete or qualitative. Studies including hardware-in-the-loop or prototype experiments tend to score higher, though weak documentation remains a major limitation. These findings emphasize reproducibility as both a technical and ethical concern and support the need for stronger transparency and open science practices in DSC research on DC microgrids.
Sentiment Analysis of YouTube Comments Using the K-Nearest Neighbors (KNN) Method from an Axiological Perspective Merinda Lestandy; Syaad Patmanthara
ENERGY: JURNAL ILMIAH ILMU-ILMU TEKNIK ENERGY: JURNAL ILMIAH ILMU-ILMU TEKNIK (Special Issue on Engineering Paradigm 2025 Edition)
Publisher : Universitas Panca Marga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51747/energy.si2025.257

Abstract

The rapid development of social media as a space for digital interaction has increased the need for sentiment analysis to understand public opinion in a systematic and measurable way. This study analyzes YouTube comment sentiment using the K-Nearest Neighbor (K-NN) method while also examining the axiological value of applying this technology in support of a more ethical digital ecosystem. The dataset consists of 8,200 YouTube comments obtained from Kaggle without predefined sentiment labels. The data were preprocessed through case folding, tokenization, stopword removal, stemming, and normalization. Initial sentiment labels were generated automatically using K-Means clustering to form two classes—positive and negative—and were partially verified manually. The labeled data were split into training and testing sets with ratios of 50:50, 60:40, 70:30, and 80:20, and evaluated using K-NN with k values of 3, 5, 7, and 9. Model performance was assessed using a confusion matrix with accuracy, precision, recall, and F1-score metrics. The results show that accuracy ranges from 0.95 to 0.96, with the best performance achieved at a 70:30 split and an optimal k value yielding 0.96 accuracy. Beyond technical contributions, this study highlights the ethical and practical value of sentiment analysis for interpreting public opinion, supporting fairer content moderation, and improving communication quality in social media environments.
An Epistemological Analysis of Metaheuristic MPPT Performance for Photovoltaic Systems under Partial Shading Conditions Khusnul Hidayat; Arif Nur Afandi; Syaad Patmanthara
ENERGY: JURNAL ILMIAH ILMU-ILMU TEKNIK ENERGY: JURNAL ILMIAH ILMU-ILMU TEKNIK (Special Issue on Engineering Paradigm 2025 Edition)
Publisher : Universitas Panca Marga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51747/energy.si2025.258

Abstract

Metaheuristic-based maximum power point tracking algorithms are widely used in photovoltaic systems to address nonlinear and multi-peak characteristics under partial shading conditions. However, many reported performance claims rely mainly on numerical simulation and therefore require cautious interpretation. This study presents a simulation-based comparative and epistemological analysis of Particle Swarm Optimization and Differential Evolution for photovoltaic maximum power point tracking. Both algorithms are implemented in an identical buck converter-based photovoltaic framework to ensure fair comparison. Performance is evaluated under uniform irradiance and partial shading conditions using convergence time and tracked power as evaluation metrics. The results show that under uniform irradiance, both algorithms reliably converge to the maximum power point with similar steady-state accuracy, while Particle Swarm Optimization converges faster. Under partial shading conditions, Particle Swarm Optimization consistently tracks the global maximum power point, whereas Differential Evolution shows occasional convergence failure or suboptimal tracking. From an epistemological standpoint, these findings constitute coherent and pragmatically useful model-based knowledge, while remaining provisional due to the absence of experimental validation.
Design and Testing of a Milliampere Scale Leakage Current Sensor Based on a Current Transformer for Substation Lightning Protection Gamma Aditya Rahardi; Hendra Dharma Putra; Dodi Setiabudi; Widyono Hadi; Arizal Mujibtamala; Dani Hari Tunggal Prasetiyo
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.v16i1.1611

Abstract

Leakage current in lightning arresters is an important indicator of insulation conditions and protection system performance in substations, so a measurement method capable of detecting currents in milliamperes accurately and stably is required. This study aims to design and test a milliamperes-scale leakage current sensor that can be used for lightning arrester monitoring. The developed sensor is based on a current transformer with an analog signal amplification and filtering circuit, and data acquisition using a microcontroller. Testing was carried out experimentally by varying the resistive load and the number of turns, then the measurement results were compared with an AVO meter as a reference measuring instrument. The test results showed that the sensor was able to measure leakage current with a relatively low error rate, where the lowest error occurred at a load of 33 Ω and increased at larger loads due to a decrease in current. The relationship between current and load variation showed a linear characteristic with a coefficient of determination (R²) value close to 1. In addition, magnetic field analysis showed that the relative permeability value of the ferrite core was in the range of 88.4 to 98, which reflects the stability of the core's magnetic properties under various test conditions. Based on these results, the developed sensor has the potential to be used as part of a lightning arrester leakage current monitoring system to support the maintenance and reliability of the substation protection system.
Analysis of Fuel Spray Characteristics of Pertalite, Pertamax, and Pertamax Turbo with Ethanol Blending M. Iqbal Cholis; M. Fathuddin Noor; Lukman Hakim
ENERGY: JURNAL ILMIAH ILMU-ILMU TEKNIK Vol. 14 No. 2 (2024): ENERGY: JURNAL ILMIAH ILMU-ILMU TEKNIK
Publisher : Universitas Panca Marga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51747/

Abstract

In the automotive industry sector, technological advances have entered the stage of using alternative fuels, and the principle of fuel injection in gasoline engines (electronic fuel injection), to create efficient fuel use and more environmentally friendly combustion. The method used in this research is an experimental method, namely a method used to test the characteristics of gasoline fuel with ethanol against spray using an injector. In this research, we will compare the characteristics of Pertalite, Pertamax, Pertamax Turbo gasoline spray, a mixture of ethanol and gasoline in different mixture variations. This test aims to analyze spray tip penetration, spray angle, and velocity of spray. The results of collecting spray tip penetration data resulted in the highest data value for Pertamax Turbo fuel mixed with 7% ethanol and the lowest for Pertalite fuel mixed with 7% ethanol. The results of the spray angle data collection had the highest value in the Pertamax 10% ethanol mixture and the lowest in the 5% ethanol mixture with Pertamax Turbo fuel. From the results of the Velocity of spray data processing, the highest value was found in the 10% ethanol mixture with Pertalite fuel and the lowest was the 5% ethanol mixture with Pertamax Turbo fuel. For ethanol mixtures, more attention must be paid to the complete spray or misting of the injected fuel. Mix the fuel with ethanol according to applicable standards. Always pay attention to chamber equipment to avoid leaks when collecting data
Performance Optimization Analysis of a 20 Kilo Volt (kV) Distribution Network in Dili City Using ETAP Software Zil Nunes Pinto; Herry Nugraha; I Made Indradjaja M. Brunner
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/

Abstract

The 20 kV power distribution network in Dili City faces technical challenges in the form of voltage drop and relatively high feeder loading levels, particularly on feeders with long distribution routes. The Dili City distribution network has a configuration centralized to a single power supply source, namely the Camea Substation, which limits the ability to transfer loads. This research aims to analyze the existing condition and to evaluate the effect of adding a new substation in the Comoro area on improving network performance. This research uses a power flow simulation–based approach employing ETAP software. The results show that under existing conditions, buses at the end of the lines experience voltage drops below the allowable standard of up to 14.30%, and four feeders have loading levels exceeding 75%. The addition of the Comoro Substation and network reconfiguration significantly improve the voltage profiles of the distribution system, ensuring compliance with SPLN 72:1987. The loading level of the Camea Substation decreases to 72% of its capacity due to the reduction of feeder load, increasing the capability for load transfer and accommodating future load growth.
Enzymatic Conversion of Biomass to Biofuels: Process Mechanisms, Enzyme Optimization, and Industrial Challenges Sesilia Romalinda; Vita Putri Ningtyas; Adha Raihan Fahrezi
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.v16i1.1613

Abstract

Biomass conversion to biofuels has gained significant attention as a sustainable alternative to fossil-based energy, with enzymes playing a crucial role in enhancing process efficiency and selectivity under mild operating conditions. This review article examines the roles of key enzymes, including cellulases, hemicellulases, amylases, lipases, and laccases, in lignocellulosic hydrolysis, lignin structure disruption, and lipid esterification and transesterification reactions, enabling the production of bioethanol and biodiesel under milder operating conditions with high selectivity. Comparative insights are provided to highlight the relative performance of these enzymes in terms of conversion efficiency, substrate specificity, operational stability, and tolerance to process conditions, as reported in recent studies. The review further examines enzyme optimization strategies, including immobilization techniques, protein and metabolic engineering approaches, and advanced bioreactor configurations, which have been shown to improve enzyme reusability and overall process productivity. Quantitative performance indicators reported in the literature, such as biofuel yields and conversion efficiencies, are critically analyzed to assess the feasibility of enzymatic routes compared to conventional chemical processes. Finally, key industrial challenges related to enzyme cost, stability, and scalability are discussed, along with emerging technological pathways that support the potential industrial implementation of enzymatic biomass conversion for biofuel production.

Page 4 of 4 | Total Record : 39

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