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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
 1   2   3   4 
Study of Viscosity and Density Changes of Waste Cooking Oil Biodiesel Due to Gradual Heat Treatment Dani Hari Tunggal Prasetiyo; Andi Sanata; Robertus Sidartawan; Muhammad Trifiananto; Asroful Abidin; Linda Kurnia Supraptiningsih
ENERGY: JURNAL ILMIAH ILMU-ILMU TEKNIK Vol. 15 No. 1 (2025): ENERGY: JURNAL ILMIAH ILMU-ILMU TEKNIK (January-May 2025 Edition)
Publisher : Universitas Panca Marga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51747/energy.v15i1.1511

Abstract

Biodiesel from used cooking oil is a renewable fuel for diesel engines that has the potential to be developed as a substitute for fossil fuels. However, the physical properties of biodiesel such as viscosity and density are affected by heat treatment. This will certainly affect engine performance, combustion quality and diesel engine efficiency. This study aims to analyze the heat treatment of used cooking oil biodiesel in stages with temperature values of 40°C, 50°C, 60°C, 70°C, and 80°C. Biodiesel is obtained from used cooking oil by a synthesis process using transesterification with ethanol and KOH catalyst. The results of the study were the viscosity and density values of used cooking oil biodiesel. The results showed that heat treatment of biodiesel reduced the viscosity and density values. The viscosity value continued to decrease along with the increase in the heating value from 4.52 cSt to 2.84 cSt. For the density value also decreased from 867 kg/m³ to 827 kg/m³. This study shows that heat treatment on biodiesel before use has the potential to improve atomization characteristics and fuel flow rates, so that combustion efficiency and diesel engine performance can be optimal.
Enhancing Combustion Characteristics of Callophyllum Inophyllum Fuel Using Magnetic Fields Imam Rudi Sugara; Dani Hari Tunggal Prasetiyo
ENERGY: JURNAL ILMIAH ILMU-ILMU TEKNIK Vol. 15 No. 1 (2025): ENERGY: JURNAL ILMIAH ILMU-ILMU TEKNIK (January-May 2025 Edition)
Publisher : Universitas Panca Marga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51747/energy.v15i1.1512

Abstract

The challenges of energy security and environmental sustainability have driven the development of eco-friendly alternative fuels, among which second-generation biodiesel has gained significant attention. This study aims to analyze the combustion quality of biodiesel derived from Calophyllum inophyllum oil (CIME) under the influence of an external magnetic field on the laminar flame speed in a premixed flame system. CIME biodiesel was produced through a transesterification process following degumming and esterification stages. Experimental tests were conducted using a stainless-steel Bunsen burner with a T-junction configuration and integrated heating system, in which magnetic fields with strengths ranging from 7000 to 10000 gauss were applied directly to the flame region. The equivalence ratio (ϕ) of the fuel-air mixture was varied between 0.4 and 1.4. Laminar flame speed was calculated from flame visualization data based on the observed flame angle. The results indicate that the magnetic field significantly enhanced the laminar flame speed, with the highest value observed at ϕ = 0.8 and a magnetic field strength of 10000 gauss. This phenomenon is attributed to the increased oxygen concentration in the reaction zone, induced by the magnetic attraction of paramagnetic O₂ molecules. These findings suggest that the integration of magnetic fields into biodiesel combustion processes can potentially improve energy efficiency and reduce emissions, offering an innovative approach for advancing renewable energy systems.
Technical Feasibility Study and Design of 60 kWP On-Grid Solar Power Plant at Joint Lecture Building-5, University of Muhammadiyah Malang Nabila Ayu Febrianti; Machmud Effendy; Basri Noor Cahyadi
ENERGY: JURNAL ILMIAH ILMU-ILMU TEKNIK Vol. 15 No. 1 (2025): ENERGY: JURNAL ILMIAH ILMU-ILMU TEKNIK (January-May 2025 Edition)
Publisher : Universitas Panca Marga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51747/energy.v15i1.1513

Abstract

The problem of dependence on fossil energy which has an impact on the energy crisis and the environment. The current renewable energy mix is still at 14% which is far from the 23% target in 2025, encouraging the need for the development of Solar Power Plants (SPP) as part of the New Renewable Energy (NRE) mix in Indonesia. This research aims to design an On-Grid Solar PV system with a capacity of 60 kWp at the Joint Lecture Building-5 (JLB) of Muhammadiyah University of Malang (UMM) and analyze the technical and economic feasibility. The methods used include electrical load survey, climate and radiation data collection, and system design simulation using PVsyst software. The simulation results show an annual Performance Ratio (PR) value of 0.839 with an annual energy production of 105,000 kWh. Energy production analysis shows stable system performance with total losses below 2 kWh/kWp/day. However, based on the economic analysis, the 20-year Net Present Value (NPV) is negative at - IDR 646,841,211, indicating the project is not financially viable without incentive support. Nonetheless, the project is considered technically feasible and can serve as a reference for the implementation of higher education-scale solar power plants. 
Application of Inorganic – Organic Eutectic PCM (Phase Change Material) to Improve Coolbox Efficiency Nanda Yuniarti; Mifta Fatimah Supandi; Caecilia Pudjiastuti; Ketut Sumada; Stefano Ladini; Erwan Adi Saputro
ENERGY: JURNAL ILMIAH ILMU-ILMU TEKNIK Vol. 15 No. 1 (2025): ENERGY: JURNAL ILMIAH ILMU-ILMU TEKNIK (January-May 2025 Edition)
Publisher : Universitas Panca Marga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51747/energy.v15i1.1518

Abstract

The demand for efficient and environmentally friendly cold storage systems continues to increase, especially in the fisheries industry to maintain the quality of the catch. One alternative cooling medium is Phase Change Material (PCM), which is capable of storing and releasing energy in the form of latent heat during phase transitions. This study aims to evaluate the effectiveness of eutectic PCM composed of inorganic–organic materials in enhancing coolbox efficiency. The PCM was synthesized using food-grade ingredients: water, salt (NaCl), acetic acid, propylene glycol, and tapioca flour, and was then tested using Differential Scanning Calorimetry (DSC) and temperature profile analysis. Testing was conducted using various mass ratios of PCM to fish (from 1:1 to 4:1), and compared to conventional cooling media such as ice. The results showed that PCM with a 4:1 ratio was able to maintain temperatures in the range of -10°C to -0.4°C for 6 hours, with a total heat capacity of 1.4567 kJ/kg, significantly higher than that of ice (0.3120 kJ/kg). Furthermore, organoleptic tests indicated that fish stored with the 4:1 PCM remained fresh, scoring highest in aspects of odor, texture, and appearance. Therefore, the PCM developed in this study has proven to be more efficient in maintaining low temperatures and preserving fish quality compared to conventional cooling methods.  
Study Analysis of Three Phase Induction Motor Starting Using ETAP at PLN ULPL Indralaya, South Sumatera Thriskadewi Umi Rasyda; Letifa Shintawaty
ENERGY: JURNAL ILMIAH ILMU-ILMU TEKNIK Vol. 15 No. 1 (2025): ENERGY: JURNAL ILMIAH ILMU-ILMU TEKNIK (January-May 2025 Edition)
Publisher : Universitas Panca Marga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51747/energy.v15i1.1514

Abstract

Steam Generator of Electricity Power Plant at PT. PLN (Persero) UPDK Keramasan of ULPL Indralaya, South Sumatra Area.  This power plant has 3-phase induction motors, which are the most commonly used motors because of their reliability. The 3-phase motor is directly connected to the supply at a high starting current of around 5 to 7 times the motor rating current (nominal current). This large starting current can cause a considerable voltage drop on the supply line, thus affecting other loads connected to the supply line. Because the large current flows for a long time, it causes the motor to heat up, which will damage the insulation. Therefore, when starting the motor, the motor bus voltage must be kept at around 80% of the voltage rating. This study investigates whether the motor could start successfully under the operating conditions. We used ETAP software to simulate motor starting and also analyze these motors is to obtain the values of starting current, starting torque, and voltage drop from the results of using VFD (variable frequency drive) on two motor units in LV Switchgear SUS-1 whose previous existing conditions were using DOL (direct on line). A result of our studies, we found that the system can still maintain a bus voltage of 99.94%, a small starting current when starting the motor of 0% FLA (1 second), and reaches 99% FLA (4 seconds) with a starting torque of 54% & 57% of the load torque.
Rule-Based System of Ammonia Gas Detection in Tofu Industry Based on Internet of Things and Cloud Muhammad Shodiq; Dianda Aryntya Firia Ferlania
ENERGY: JURNAL ILMIAH ILMU-ILMU TEKNIK Vol. 15 No. 1 (2025): ENERGY: JURNAL ILMIAH ILMU-ILMU TEKNIK (January-May 2025 Edition)
Publisher : Universitas Panca Marga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51747/energy.v15i1.1515

Abstract

Industry of tofu is one of the driving forces of the economy but also has a negative impact because the waste produced can pollute the environment if not handled properly. Tofu industry waste is usually in the form of liquid waste containing several gases that are harmful to human health such as ammonia. Ammonia is a pollutant gas that causes health problems such as respiratory disorders to death. Therefore, a system is needed that is able to detect ammonia levels in tofu industry liquid waste. The purpose of this study is to develop a system that can monitor and provide real-time hazard notifications if ammonia levels are at a safe threshold. This study uses a rule-based system method for grouping ammonia level data, the Internet of Things (IoT) for real-time data collection devices, and the cloud to store data generated from IoT devices. The results of the study showed that ammonia levels were <200 ppm so that they were included in the alert category because the effects caused could cause irritation to the eyes, nose and throat. 
Sentiment Analysis on NU Online Using KNN Method Important Findings of the Article Mas Nurul Hamidah; Fardanto Setyatama; R Dimas Adityo; Rahmawati Febrifyaning Tias
ENERGY: JURNAL ILMIAH ILMU-ILMU TEKNIK Vol. 15 No. 1 (2025): ENERGY: JURNAL ILMIAH ILMU-ILMU TEKNIK (January-May 2025 Edition)
Publisher : Universitas Panca Marga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51747/energy.v15i1.1516

Abstract

The large population of Indonesia results in the rapid growth of the mobile economy very quickly, Business of Apps in January 2025 states that more than 200 million Indonesians spend an average of 5.7 hours per day in using cell phones or applications contained on cell phones. One of the applications on PlayStore is NU Online with more than 1 million downloads and there are 27 thousand user reviews with an average rating of 4.8. NU Online App was created by one of the largest organizations in Indonesia, Nahdlatul Ulama, the purpose of making the application is to provide convenience to users, especially among pesantren and NU members. Data Mining is the process of finding patterns, trends, and useful information from large amounts of data. One of the algorithms in data mining is KNN. This research focuses on sentiment analysis on the NU Online application to find out that the review is worth POSITIVE, and NEGATIVE using the KNN method, resulting in 72% showing positive sentiment, 28% showing negative sentiment, this shows the performance and performance of the NU Online love application is very good with the support of the highest accuracy evaluation value at K10 which is 0.83.
Application of Averrhoa Blimbi, L and Activated Carbon to Measure the Characteristics of No-Load Output Voltage, Output Voltage with LED Load and LED Voltage Drop Adi Mulyadi; Muhammad Zainal Roisul Amin; Susilo; ST Fatimah
ENERGY: JURNAL ILMIAH ILMU-ILMU TEKNIK Vol. 15 No. 1 (2025): ENERGY: JURNAL ILMIAH ILMU-ILMU TEKNIK (January-May 2025 Edition)
Publisher : Universitas Panca Marga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51747/energy.v15i1.1517

Abstract

This paper discusses the use of Averrhoa bilimbi L. (blimbing wuluh) liquid and powdered activated carbon to examine the output voltage characteristics and voltage drop in LEDs. Previous studies using various fruits and fermentation methods showed inconsistent output voltages, prompting the use of Averrhoa bilimbi due to its natural citric acid content, which can produce a small but measurable voltage (0–499 mV). To improve this voltage, activated carbon (MES size 70329-06950) was added to the mixture. The experimental setup included Zn and Cu electrodes, a 30V 5A power supply, and liquid volumes of 75 ml, 100 ml, and 125 ml tested over durations of 1, 5, and 10 minutes. Results showed that without activated carbon, the output voltage ranged from 350–499 mV, while LED voltage dropped slightly (8–0 mV). With activated carbon, output voltage significantly increased to 434–660 mV, while the LED voltage remained stable and the drop minimal. These findings indicate that the addition of activated carbon enhances the electrical output of Averrhoa bilimbi and reduces voltage loss, suggesting its potential use as a simple, renewable bioenergy source for low-power applications.
Deep Learning-Based Implementation of Convolutional Neural Networks for Skin Disease Detection Through Image Classification on Mobile Platforms Nuzul Hikmah; Ahmad Izzuddin; Serlin Velinda
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.v15i2.15216

Abstract

Maintaining skin health is essential, as poor skin conditions can lead to various diseases. To address this, early detection and classification of skin disorders is crucial. This study presents a deep learning-based Android application that enables users to detect and classify types of skin diseases through image input. The application integrates a Convolutional Neural Network (CNN) trained on labeled image datasets. The model achieved a training accuracy of 96% and validation accuracy of 83%. To provide a more comprehensive performance evaluation, metrics such as precision (87.75%), recall (84.29%), and F1-score (85.20%) were calculated. The evaluation was conducted using confusion matrix analysis based on eight skin disease classes. The implementation of CNN into an Android-based platform provides a practical and accessible tool for early skin disease detection and classification for the general public.
Finding the Harmonic Contents of Periodic Square Wave Suparman; Muhammad Natsir Rahman; Tanridio Silviati Delfina Abdurrahman; Zulaeha; Andi Muhammad Ilyas
ENERGY: JURNAL ILMIAH ILMU-ILMU TEKNIK Vol. 15 No. 1 (2025): ENERGY: JURNAL ILMIAH ILMU-ILMU TEKNIK (January-May 2025 Edition)
Publisher : Universitas Panca Marga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51747/energy.v15i1.1519

Abstract

This paper presents an analysis of the harmonic content in a periodic square wave. Three methods are employed to evaluate the harmonic characteristics: Fourier series decomposition, Crest Factor (CF), and Total Harmonic Distortion (THD). The Fourier series method decomposes the square wave signal into its direct current (DC) component, cosine, and sine terms. The second method, CF, is used as an initial indication of the presence of harmonics in the signal, where a CF value greater than 1 suggests a signal with harmonics. Finally, the THD method is utilized, which includes both the Fundamental THD (THDF) and the Root Mean Square THD (THDR), quantifying the degree of harmonic distortion in the signal. For the case studied, where the square wave has an amplitude of 1, the CF is found to be 1, the THDF is 46.1%, and the THDR is 41.9%. These results suggest that the square wave contains significant harmonic distortion. The paper highlights the importance of understanding harmonic content in power systems, particularly in the context of nonlinear loads that introduce distortion in voltage and current waveforms. The findings contribute to the broader understanding of harmonic effects on system performance, which can lead to issues such as overheating, protection malfunctions, and reduced power quality.

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