cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Arnawan Hasibuan
Contact Email
j-reece@unimal.ac.id
Phone
+628126448121
Journal Mail Official
j-reece@unimal.ac.id
Editorial Address
Kampus Unimal Bukit Indah Jl. Kampus Unimal Bukit Indah, Blang Pulo, Kec. Muara Satu, Kabupaten Aceh Utara, Aceh, 24355, Indonesia
Location
Kota lhokseumawe,
Aceh
INDONESIA
Journal of Renewable Energy, Electrical, and Computer Engineering
Published by Universitas Malikussaleh
ISSN : -     EISSN : 27760049     DOI : http://dx.doi.org/10.29103/jreece
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering
Journal of Renewable Energy, Electrical, and Computer Engineering (JREECE) is a peer-reviewed and open access journal that aims to promote and disseminate knowledge of the various topics and area of Renewable Energy, Electrical, and Computer Engineering. The scope of the journal encompasses the following: Energy, Renewable Energy, Solar and Low Energy Architecture, Energy Conservation in Buildings, Climatology and Meteorology (Geothermal, Wave and Tide, Ocean Thermal Energies, Mini Hydro Power and Hydrogen Production Technology), Energy policy, Socio-economic and Energy Efficiency and Management, Electrics, Robotics, Embedded Systems, DCS & PLC, Signal Processing, Image Processing & Computer Vision, Artificial Intelligence, Big Data & Data Mining, Wireless & Network. Journal of Renewable Energy, Electrical, and Computer Engineering (JREECE) published periodically two times annually (March and September) by Institute for Research and Community Service, Universitas Malikussaleh, Indonesia.
Arjuna Subject : Energi (semua kategori) - Energi (Lain-Lain)
Articles 101 Documents
 6   7   8   9   10 
Design and Development of a Vertical Axis Wind Turbine with PVC Blades Using Solidworks Simulation Anggoro, Ramadan Bimo; Setyobudi, Ramadhani; Sadrina, Amajida; Chalimah, Siti; Budi Satria, Muhammad Hendra
Journal of Renewable Energy, Electrical, and Computer Engineering Vol. 4 No. 2 (2024): September 2024
Publisher : Institute for Research and Community Service (LPPM), Universitas Malikussaleh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jreece.v4i2.16561

Abstract

Savonius wind turbines have better performance in locations with varying wind directions compared to horizontal axis wind turbines. However, their drawback lies in their low performance coefficient. The main objective of this study is to investigate the optimal design of a vertical axis wind turbine of the Savonius type. The parameters investigated include blade thickness and blade arc angle. This study was conducted using computational fluid dynamics (CFD) simulations with SolidWorks software. The simulation results show that at various blade thicknesses, there are significant differences in the obtained power coefficient () values. At a blade thickness of 2 mm, the highest power coefficient () reached 0.38 with a blade arc angle of 130º. Meanwhile, a blade thickness of 3 mm showed a maximum power coefficient () of 0.41 at a blade arc angle of 120º. However, at a thickness of 4 mm, there was a significant increase with the highest power coefficient () reaching 0.45 at a blade arc angle of 110º. This indicates that the most efficient shape for a Savonius wind turbine is with a blade thickness of 4 mm, a blade arc angle of 110º, a blade spacing of 3 cm, and an overlap ratio of 0.42, providing a maximum power coefficient () of 0.45.
Sustainable Water-Energy-Food Nexus Modeling to Anticipate Land Use Changes in Magelang Regency Kusworo, Zulfikar Aji; Sulaiman, Muhammad; Budiarto, Rachmawan
Journal of Renewable Energy, Electrical, and Computer Engineering Vol. 4 No. 2 (2024): September 2024
Publisher : Institute for Research and Community Service (LPPM), Universitas Malikussaleh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jreece.v4i2.16882

Abstract

This paper aims to analyze the integrated management of water, energy, and food resources within the context of the Water-Energy-Food (WEF) Nexus in Magelang Regency, Central Java, Indonesia. The focus is on the projections for electricity demand, water needs, and potential electricity production from microhydro power plants (PLTMH) by 2030. The methodology involved simulation models using the LEAP and WEAP software to create a conceptual management model that promotes sustainable resource use. Our findings project electricity needs in Magelang Regency to increase significantly, estimated at 79,626.3 MWh under the baseline business-as-usual scenario, 90,281.53 MWh for a moderate scenario, and 92,201.78 MWh under an optimistic scenario, with the moderate and optimistic scenarios representing increases of 13.38% and 15.79%, respectively, over the baseline by the end of the projection period. Concurrently, water demand is projected at 349,953,115 m³ under the baseline scenario and slightly less at 339,542,991 m³ considering the impact of the new Yogyakarta-Bawen toll road, with a variance of 3.07% between the scenarios by 2030. Additionally, the potential electricity production from the proposed PLTMH is projected at 590.67 MWh by 2030. These projections underscore the critical contributions of sustainable infrastructural developments such as PLTMH, which, despite regulatory support, have not yet been constructed in the regency. This research illustrates the need for robust planning and integration of sustainable practices within local governance to achieve the objectives outlined in the Sustainable Development Goals (SDGs), emphasizing the importance of sustainable and innovative solutions to meet future demand for these interconnected resources effectively.
Heat Reduction on Light Emitting Diode Solar Simulator Nurmuthaharah, Cut; Sara, Ira Devi; Tarmizi, Tarmizi
Journal of Renewable Energy, Electrical, and Computer Engineering Vol. 4 No. 2 (2024): September 2024
Publisher : Institute for Research and Community Service (LPPM), Universitas Malikussaleh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jreece.v4i2.17983

Abstract

LED solar simulator converts electrical energy into light and heat. The resulting heat effect apply damage to the LED and affect performance and accuracy test. Despite being equipped with a heatsink and fan cooling system, the temperature of the LED solar simulator is still considerably quite high though it is necessary to lowered the temperature even further to increase its service life. One major challenge faced is the management of the heat generated by the LEDs. This article aims to investigate the effect of placing a copper pipe-based cooling system containing refrigerant R32 and Thermoelectric to reduce the temperature of the LED solar simulator by at least 10%. The use of thermoelectric cooler (type 12706) as an alternative cooling technology is safer for surrounding environment compared to vapor compression. Copper pipes were chosen for better conductivity, flexibility and better heat absorbance, meanwhile refrigerant R32 were chosen for it is environmentally friendly and possess a lower GWP. The test results illustrate the application of a copper pipe-based cooling system containing refrigerant R32 and thermoelectric succeeded in reducing the temperature of the LED solar simulator by 11,41% and increased the level of radiation uniformity from an average of 422 W/m² to 429 W/m² with a depreciation of non-uniformity of 0,84%. Thus, this very combination cooling system is proven effectively reducing the temperature of the LED solar simulator by at least 10%.
Potential Analysis of Rooftop Solar Power Plant Development Using PLN Mobile Application for Village Office Buildings in Lenek District, East Lombok, Indonesia Juherwin, Muji; Abdullah, Fahmi; Hermawan, Yoga Dwi; Shodikin, Moh Budi
Journal of Renewable Energy, Electrical, and Computer Engineering Vol. 4 No. 2 (2024): September 2024
Publisher : Institute for Research and Community Service (LPPM), Universitas Malikussaleh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jreece.v4i2.17677

Abstract

This study evaluates the potential for rooftop solar photovoltaic (PV) installations on village office buildings in the Lenek District, East Lombok, Indonesia, using the PLN Mobile application. The primary objectives are to assess the potential installed capacity of rooftop solar PV systems, estimate the economic and environmental impacts of their installation, and evaluate the performance of the PLN Mobile application in simulating solar PV systems. The findings reveal that the application provided generalized recommendations, with suggested capacities of 0.6 kWp and 1.32 kWp, despite variations in electricity consumption, roof orientation, and other structural characteristics. Estimated installation costs range from Rp10,452,380 to Rp26,130,952, with potential monthly savings between Rp103,464 and Rp227,620, and a uniform reduction in carbon emissions of 0.285 kg CO2 per month. While the PLN Mobile application offers valuable preliminary insights, it lacks the necessary specificity to deliver precise assessments, leading to a potential mismatch between recommendations and the actual energy needs and structural conditions of the village offices. As a result, the study concludes that more customized evaluation methods are required to optimize the installation and performance of rooftop solar PV systems in village offices.
Design of Microstrip Antennes for Use in Digital Television Network Systems Pangestu, Wildan Nurgalih; Aribowo, Didik; Fatkhurrokhman, Mohammad
Journal of Renewable Energy, Electrical, and Computer Engineering Vol. 4 No. 2 (2024): September 2024
Publisher : Institute for Research and Community Service (LPPM), Universitas Malikussaleh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jreece.v4i2.14812

Abstract

The quality of television networks in Indonesia is still undergoing continuous development in order to provide the best quality of the television network, but what remains the problem is the decline in the quality of such television network that is still not covering the entire territory of Indonesia. This requires additional supporting devices to be able to overcome the problem. In this study, a microstrip antenna was created using the array method, to work at a frequency of 400-900 MHz for digital television networks. The microstrip antenna will be observed and analyzed on the return loss (S-11), VSWR (Voltage Standing Wave Ratio), bandwidth, and gain antenna parameters. The simulation results for some parameters such as returnloss which has a value of -13.33639 dB and the VSWR value is obtained as 1.5489645 at a working frequency of 650 MHz. It already meets the criteria of a good microstrip antenna and is ready for manufacture and implementation.
Sentiment Analysis on Digital Korlantas POLRI Application Reviews Using the Distilbert Model Putri, Nabila Rizky Amalia; Trimono, Trimono; Damaliana, Aviolla Terza
Journal of Renewable Energy, Electrical, and Computer Engineering Vol. 4 No. 2 (2024): September 2024
Publisher : Institute for Research and Community Service (LPPM), Universitas Malikussaleh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jreece.v4i2.17197

Abstract

The implementation of digitalization in public services by Korlantas Polri has facilitated faster administration, wider access, and improved service quality. The Korlantas Polri Digital app has garnered more than 5 million downloads on the Google Play Store, with a rating of 3.7 and around 110 thousand reviews. Given that an app's reputation can be significantly affected by criticism, sentiment analysis becomes very important to categorize user reviews as positive, negative, or neutral, thus assisting developers in identifying app shortcomings. This study uses DistilBERT, a deep learning model distilled from BERT, to assess the effectiveness of sentiment analysis on reviews. Data was collected from user reviews on the Google Play Store between September 1, 2023 and May 31, 2024, resulting in 8,752 reviews retained for analysis. Model performance was evaluated at three data ratios: 60:40, 70:30, and 80:20, with the best performance results seen at a ratio of 80:20, achieving 88% accuracy. Increasing the training data ratio from 60:20 to 80:20 has a positive impact on the model, suggesting that the model can learn better with larger training data.
Analysis and Design of a Rooftop Photovoltaic (PV) System in Bulaksumur, Yogyakarta Using Archelios Pro Ananda, Gheri Febri; Bintoro, Kukuh; Khair, Asdaqul
Journal of Renewable Energy, Electrical, and Computer Engineering Vol. 4 No. 2 (2024): September 2024
Publisher : Institute for Research and Community Service (LPPM), Universitas Malikussaleh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jreece.v4i2.18342

Abstract

This research focuses on the design and analysis of a rooftop photovoltaic (PV) system in Bulaksumur, Yogyakarta, using the Archelios Pro software. The objective of the study is to evaluate the efficiency and effectiveness of the PV system in terms of energy production and cost savings. The methods used include simulation and analysis with Archelios Pro, which allows for accurate modeling and estimation of energy production. The load profile at the research site was analyzed to determine the annual energy consumption, which reached 8,859 kWh. The designed PV system consists of 15 modules with a total capacity of 6.60 kWp. The results show that the PV system, without battery storage, produces an annual energy output of 10,185 kWh, meeting 115% of the household's annual energy needs. However, without battery storage, only 25.8% of the generated energy is directly usable. In the scenario with battery storage, self-consumption increases from 25.8% to 45.8%, and reliance on the electricity grid decreases from 5,510 hours to 4,179 hours per year. Economic analysis reveals annual cost savings of Rp 3,847,926, although the payback period exceeds 20 years. The use of the PV system also reduces annual carbon emissions by 3,965.25 kg of CO‚‚, contributing to efforts to achieve net-zero emissions in Indonesia.
Design and Construction of a Plastic Bottle Waste Collector Integrated with a Microcontroller-Based IoT System Furqan, M; Jannah, Misbahul; Taufiq, Taufiq; Salahuddin, Salahuddin; Fariadi, Dedi
Journal of Renewable Energy, Electrical, and Computer Engineering Vol. 5 No. 1 (2025): March 2025
Publisher : Institute for Research and Community Service (LPPM), Universitas Malikussaleh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jreece.v5i1.19931

Abstract

Automatic garbage cans use ultrasonic sensors to automate manual garbage cans to make it easier for people to dispose of garbage and increase awareness of environmental cleanliness. Automatic bins using ultrasonic sensors are controlled via microcontrollers. In the design of Plastic Bottle Waste Collection Equipment Integrated with a Microcontroller-Based IoT System, several stages of research were carried out: literature study, system design and implementation, and system testing. The process of  Plastic Bottle Waste Collection Equipment Integrated with a Microcontroller-Based IoT System is that when a person puts plastic bottle waste into the plastic bottle waste collection device,  the load cell will weigh the weight of the bottle waste. Next, the data is processed by Arduino Uno, and then I press the push button to print the generated data. Press the push button II to drop the plastic bottle waste into the garbage bin. From the results of testing the weight of plastic bottle waste using a load cell, it can be concluded that it works well. And the difference in the accuracy of the weight of plastic bottle waste using a load cell with a digital scale of 0.01 > 0.05 Kg.
Comparison of Random Forest Algorithm Classifier and Naïve Bayes Algorithm in Whatsapp Message Type Classification Hadi, Abdul; Qamal, Mukti; Afrillia, Yesy
Journal of Renewable Energy, Electrical, and Computer Engineering Vol. 5 No. 1 (2025): March 2025
Publisher : Institute for Research and Community Service (LPPM), Universitas Malikussaleh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jreece.v5i1.21227

Abstract

This study compares the effectiveness of Random Forest and Naïve Bayes algorithms in classifying WhatsApp messages into three categories: normal, promotional, and fraudulent messages. With over 2.78 billion active users worldwide and 90% of Indonesian internet users utilizing WhatsApp, the platform's end-to-end encryption creates challenges for automatic spam detection, necessitating machine learning approaches. A dataset of 300 messages, equally distributed across the three categories, underwent preprocessing including cleansing, case folding, stopword removal, normalization, and stemming before being converted to numerical form using TF-IDF vectorization. Experimental results demonstrated that Naïve Bayes outperformed Random Forest with higher accuracy (88.67% vs. 86.00%), precision (89.64% vs. 88.95%), recall (88.67% vs. 86.00%), and F1-score (88.61% vs. 85.99%). Cross-validation analysis with 10-fold validation further confirmed Naïve Bayes' superior consistency and stability across all evaluation metrics. Additionally, Naïve Bayes exhibited remarkable computational efficiency, requiring only 0.13 seconds for training compared to Random Forest's 3.65 seconds. Confusion matrix analysis revealed Naïve Bayes' particular effectiveness in distinguishing between normal and fraudulent messages, crucial for preventing users from falling victim to scams. The model successfully identified key fraud indicators such as "claim," "account," and "verification" while demonstrating precision in ambiguous cases. These findings contribute significantly to developing more effective spam detection systems for encrypted messaging platforms where traditional filtering mechanisms cannot be applied, ultimately enhancing user safety and experience through automated identification of potentially harmful content.
Earthquake Risk Management for Mini-Hydro Power Plant: A Case Study Approach Isandono, Hafit; Uyun, Aep Saepul; Tirta, Andy; Yandri, Erkata; Nur, Syukri Muhammad
Journal of Renewable Energy, Electrical, and Computer Engineering Vol. 5 No. 1 (2025): March 2025
Publisher : Institute for Research and Community Service (LPPM), Universitas Malikussaleh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jreece.v5i1.18887

Abstract

This study evaluates the impact of an earthquake on a mini-hydropower plant (MHP) and formulates a disaster management strategy to enhance the operational resilience of MHPs against seismic events. Data was collected through interviews with relevant stakeholders, direct observations, and analysis of pertinent documents. The findings indicate that the 2018 Lombok earthquake caused severe damage to the catchment area, triggering increased sedimentation that disrupted the MHPs operation, resulting in decreased electricity production and escalated operational costs. Mitigation measures were implemented and proved effective in reducing debris-related downtime and improving electricity generation. Thes findings are expected to provide guidance for MHP operators in mitigating the negative impacts of earthquakes and similar disasters on plant operations.

Page 8 of 11 | Total Record : 101

 6   7   8   9   10 

Filter by Year

2021 2025


Reset
Filter By Issues
All Issue Vol. 5 No. 2 (2025): September 2025 Vol. 5 No. 1 (2025): March 2025 Vol. 4 No. 2 (2024): September 2024 Vol. 4 No. 1 (2024): March 2024 Vol. 3 No. 2 (2023): September 2023 Vol. 3 No. 1 (2023): March 2023 Vol. 2 No. 2 (2022): September 2022 Vol 2, No 1 (2022): March 2022 Vol. 2 No. 1 (2022): March 2022 Vol. 1 No. 2 (2021): September 2021 Vol 1, No 2 (2021): September 2021 Vol. 1 No. 1 (2021): March 2021 Vol 1, No 1 (2021): March 2021 More Issue