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Arnawan Hasibuan
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Kampus Unimal Bukit Indah Jl. Kampus Unimal Bukit Indah, Blang Pulo, Kec. Muara Satu, Kabupaten Aceh Utara, Aceh, 24355, Indonesia
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Kota lhokseumawe,
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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 9 Documents
 1 
Search results for , issue "Vol. 4 No. 1 (2024): March 2024" : 9 Documents clear
Efficiency of Solar Cookers with Different Geometric Shapes Over the Last Decade: A Comprehensive Review Sari, Lisma Dian Kartika; Munawwir, Zainul; Umamah, Chairatul
Journal of Renewable Energy, Electrical, and Computer Engineering Vol. 4 No. 1 (2024): March 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.v4i1.13764

Abstract

Mostly in rural areas in developing countries, biomass and fossil fuels are used for cooking. These fuels have negative impacts on the environment and human health. One solution to the problem is cooking using solar-powered stoves as a clean and environmentally friendly alternative energy. In this research, a literature study was conducted related to solar cookers which are divided into several types based on their geometric shape, namely box, parabolic, tube, and panel types. This research examines the performance of solar cookers, namely solar cooker efficiency (η%). In this literature study, the development of stoves from 2012 to 2023 has been reviewed and focused on. The sub-topics discussed revolve around the details of the geometry shape of the solar cooker on the performance of the solar cooker on the parameter of heat efficiency generated. The main conclusion of this review is that box-type solar cookers are more researched than other types of solar cookers, indicating that box-type solar cookers are more in demand and more economical in the manufacturing process. The highest average heat efficiency (η%) is produced by the tube-type solar cooker and the lowest is produced by the parabolic-type solar cooker. Other parameters also affect the efficiency of solar cookers, namely the intensity of solar radiation, the type of absorber/heat storage material, the use of reflectors with the right position (zenith and azimuth angles), the use of a tight cover pan (vacuum tube) for certain types of solar cookers and the length of cooking time.
Solar Energy Management in Electricity Load Application of Household Room Based on IoT Akmal, Syarifah; Meliala, Selamat; Amani, Yasir; Jalil, Saifuddin Muhammad
Journal of Renewable Energy, Electrical, and Computer Engineering Vol. 4 No. 1 (2024): March 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.v4i1.13425

Abstract

Currently using electrical energy is very large and electrical energy security continues to be studied by government. Developments starts from using and managing of renewable energy sources. Energy sources will not be run out. One of which is using heat energy from sunlight. Using The use of the concept of renewable energy utilization strategy is still 17%. The energy management method is to use a smart system where if the room is during the day, the LDR sensor will signal to the microcontroller so that the room lights will turn off and if there is heat the DHT22 sensor detects the room temperature of 300 C. Then the fan turns on and cools the room so that it will cool down and the load that is not needed by the grid will not function so that energy consumption will be reduced according to calculated needs. This working system is based on IOT derived from ESP 8266 to store solar energy consumed by the house room. The smart method used in the research is to place 3 DHT22 sensors for optimal heat temperature. Average temperature sensor data, LDR data is stored in the data logger in the form of xls files on Gdrive. xls files then for 15 days. From the results of the date per 15 days on 13-11-2023, the design obtained an average temperature of 30.90 with a consumption of 5.83 kWH at a cost of 7882.16 rupiah.
Utilization of Molasses Waste as Activated Carbon for Adsorption of Rhodamine B from Synthetic Waste Balatif, Ali Nur Muhammad Zaidin; Muhammad, Muhammad; Mulyawan, Rizka
Journal of Renewable Energy, Electrical, and Computer Engineering Vol. 4 No. 1 (2024): March 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.v4i1.14673

Abstract

The utilization of molasses waste as Rhodamine B adsorbent has been investigated by studying adsorption isotherm and adsorption kinetics. The sample used is a variation of the concentration of Rhodamine B 10, 25, and 50 mg/L for kinetics adsorption and 50 mg/L, 100 mg/L, 150 mg/L, 200 mg/L, and 250 mg/L for isotherm adsorption. Kinetic analysis adsorption being tested by pseudo-first-order and pseudo-second-order rate equation, as for the equilibrium equation being tested by Langmuir and Freundlich adsorption isotherms. Study shows that Langmuir equation model and pseudo-second-order are the most suitable to be applied. The adsorption constant is obtained of 1.1664 L/g and qmax of 221.8279 mg/g in Langmuir Equation. Whereas for pseudo second order equations obtained values of qe, exp and qe, cal which are slightly different. The qe, cal values obtained were 8.142 mg/g, 23.141 mg/g, and 53.895 mg/g for various concentrations.  K value is obtained with a range of 0.001754-0.000294 and a value of R2 with a range of 0.8249-0.995 for various concentration. Intraparticle diffusion in this study is not the only rate control measure due to the plot linear at each concentration does not cross the origin.
Electrical Energy Audit of Operation Support Equipment at 200 MW Steam Power Plant Priagusno, Heri; Hardi, Surya; Rohana, Rohana; Hasibuan, Arnawan; Isa, Muzamir
Journal of Renewable Energy, Electrical, and Computer Engineering Vol. 4 No. 1 (2024): March 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.v4i1.13521

Abstract

Based on data from the Pangkalan Susu steam power plant, the total amount of electrical energy used for generating process is on average 10% by the total of electrical energy generated by the plant. Increasing of electrical energy used will reduce the electrical energy sales to the network system. This research was carried out with reference according to ISO 50006:2014. This research is studies to the sample equipment with the largest rating capacity (significant energy user), such as boiler and turbine operation support equipment with on voltage 6 kV. The data of electrical energy in equipment is taken from the last 3 years historical data, namely in 2020, 2021 and 2022, Furthermore, the lowest point of electrical energy usage data was selected, then analyzed with the Linear Regression method to obtain the baseline Energy equation. The equation is used to conduct an analysis by comparing against the new data of the electrical energy in equipment, namely on April 1, 2023, the analysis showed that there was a waste of electrical energy of 164.12 kW equivalent to a fuel purchase loss of IDR 2,343,960 in 1 day. Furthermore, the baseline equation is used to input formulas in the AVEVA application (PI VISION). The Changes of electrical energy used will be monitored directly, so that if there is a waste of electrical energy, the operating pattern can be regulated directly to avoid energy waste in the electrical equipment and earn the fuel cost reduction of the Steam Power Plant.
Implementation of VRRP for Internet Optimization at Class I Sultan Iskandar Muda Meteorological Station - Banda Aceh Fajar, Kasihan Muhammad; Fuadi, Wahyu; Afrillia, Yesy
Journal of Renewable Energy, Electrical, and Computer Engineering Vol. 4 No. 1 (2024): March 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.v4i1.15812

Abstract

Class I Sultan Iskandar Muda - Banda The Aceh Meteorological Observatory is an environmental engineering implementing agency for observation and data processing, under the responsibility of the Meteorology, Climatology and Geophysical Agency. When using a government agency`s Internet network, failures such as unstable connections, failures, errors, and broken main routers often occur. If the main router goes down, no backup is available. To avoid this, a backup router must exist. Therefore, in this study, we apply an implementation of the virtual redundant router protocol to optimize the Internet network. The reseacrh aims explore to investigate the quality of WiFi network services. Researchers use her QoS analysis using packet loss, delay, and jitter parameters. Testing was conducted using Wireshark software during peak office hours in January and February 2023. The latency parameter findings were 3.49 ms in January and 4.89 ms in February on the main router (very good). The average jitter parameter was 3.49ms in January and 4.89ms in February (very good). The packet loss parameter is 2.05% (good) in February, while the overall average value in January is 0.83%. Overall, the calculation of the three parameters according to the TIPHON standardization is within a good range. His implementation of VRRP at the Sultan Iskandar Muda Weather Observatory proves the effectiveness of his VRRP in improving network availability and reliable backup systems.
Matlab Simulation Using Kalman Filter Algorithm to Reduce Noise in Voice Signals Permana Putra, Fitra; Kartika, Kartika; Sitti Nurfebruary, Nanda; Misriana, Misriana; G. S, Kerimzade; Siregar, Ramdhan Halid
Journal of Renewable Energy, Electrical, and Computer Engineering Vol. 4 No. 1 (2024): March 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.v4i1.13687

Abstract

Sound signals polluted by noise are a common problem in various audio applications, including communication, sound processing, and audio recording. In this article, proposes the use of Kalman Filter algorithm as an effective method to reduce noise in speech signals. Simulations are performed using Matlab software to implement the Kalman Filter algorithm on noise polluted voice signals. The study includes several important steps, including the input of noise-polluted speech signals and the implementation of the Kalman Filter to clean the signals. Simulation results are measured using commonly used audio quality metrics, such as Signal-to-Noise Ratio (SNR) and Mean Square Error (MSE), to evaluate the effectiveness of the algorithm. The results from the simulations show that the use of the Kalman Filter algorithm significantly improves the quality of noise-contaminated speech signals. These results indicate that this algorithm can be a potential solution to the problem of noise reduction in audio applications. In addition, the implementation in the Matlab environment allows for easy testing and adaptation of this algorithm for different types of audio applications. This research makes a positive contribution to the development of more efficient noise reduction techniques in speech signal processing, focusing on the use of the Kalman Filter algorithm and its implementation using Matlab software. The implications of this research can be potentially beneficial in improving the quality of sound signals in various audio application contexts.
Energy Audit and Electricity Load Prediction in Buildings using Artificial Neural Network Algorithm - A Case Study Hayu, Teuku Syaufi; Suriadi, Suriadi; Tarmizi, Tarmizi
Journal of Renewable Energy, Electrical, and Computer Engineering Vol. 4 No. 1 (2024): March 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.v4i1.14818

Abstract

The demand for electricity in Indonesia is continuously increasing due to the growing economy over time. In accordance with Presidential Instruction No. 10 of 2005 and Presidential Regulation No. 5 of 2006, regulations have been issued regarding energy conservation and national energy usage policies. Therefore, this paper discusses an electricity energy audit and predicts the electricity load at the PT. Telkom Indonesia Building in Lhokseumawe using Artificial Neural Network (ANN) algorithms. Energy audit involves the inspection, survey, and analysis of energy flows to identify energy-saving opportunities in buildings, aiming to reduce the input energy into the system without compromising system output. The research aims to identify electricity energy-saving opportunities. Additionally, the paper conducts predictions of electricity usage before and after the audit using the Artificial Neural Network (ANN) algorithm. Therefore, an audit of this load is needed. After inspecting the location, it was identified that the air conditioning units used exceed the required AC capacity. Consequently, a proposal for new devices is necessary to achieve potential electricity usage savings in the building. Based on the training and validation of the neural network using the Bilayered Neural Network (BNN) model with 3 layers, the most suitable model was obtained. The obtained values include an RMSE of 1210.7, R-Squared of 1.00, MSE of 1.4658e+06, MAE of 901.19, Prediction Speed ~1500obs/Sec, and Training Time of 4.8719 Sec. The results indicate potential savings of up to 17,023 kWh/month or 163,327 kWh/year. The required Payback Period to recover the invested capital is estimated at 14 months.
Empowering Youth for Sustainable Energy Consumption Arif, Nursida; Shrestha, Maria Emerita Indraningrum; Rahmawati, Laifa; Hidayati, Ulfa
Journal of Renewable Energy, Electrical, and Computer Engineering Vol. 4 No. 1 (2024): March 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.v4i1.13652

Abstract

This paper aims to assess the understanding and attitudes of youth towards energy conservation in Nepal and Indonesia. This research used a quantitative mixed methods approach, including questionnaires and focus group discussions with 101 Nepalese and Indonesian respondents. Qualitative data was obtained from the results of FGDs with 15 respondents from each country. The results show that the training has greatly impacted understanding related to energy conservation. Before being given the training, the level of awareness was 38%. After being given the training, it increased to 65%. The results of the FGD also show that this awareness program has opened the participants' eyes to become aware of energy saving and energy conservation, including water conservation. The study concludes that empowering young people to take action is critical to achieving sustainable energy consumption and highlights the importance of targeting consumer behavior to achieve sustainable energy savings and encourage sustainable consumption patterns. This study also provides insight into the potential of young people to encourage wise energy behavior throughout society and contribute to achieving sustainable energy consumption.
Efect of Antioxydants on Viscosity and Breakdown Voltage of Palm Oil Insulation Sitorus, Ronald A; Afrida, Yenni; Sinaga, Herman H; Irayani, Dewi A; Purwasih, Nining; Permata, Diah
Journal of Renewable Energy, Electrical, and Computer Engineering Vol. 4 No. 1 (2024): March 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.v4i1.16253

Abstract

Insulating oil is a type of insulator that is widely used as insulation in electrical equipment such as transformers. The insulating oil in the transformer functions as insulation in the transformer windings so that flashover does not occur and causes voltage leaks to the outside of the transformer, then the insulating oil also functions as a transformer coolant. Generally, the insulating oil used today is made from mineral oil which cannot be renewed so its availability is limited and may run out in the future. In an effort to reduce the use of mineral oil as a basic ingredient for insulating oil, it is necessary to develop a basic ingredient for making insulating oil, which can use vegetable oils such as crude palm oil (CPO) with the additive butylated hydroxytoulene added. In testing the suitability of crude palm oil with the addition of butylated hydroxytoulene additive as insulating oil, breakdown voltage testing was carried out using Megger OTS80Af and viscosity. Based on the test results, the highest breakdown voltage value was obtained for crude palm oil with the addition of butylated hydroxytoulene of 11.13 kV and a viscosity of 27.12 cSt. From the test results, it can be concluded that crude palm oil with the addition of butylated hydroxytoulene is not suitable for use as transformer insulating oil because it cannot meet the standard SPLN 49-91: 1982, the breakdown voltage of transformer insulating oil is 30 kV/2.5 mm.

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