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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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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
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Short-Term Forecasting of Electricity Consumption Using Fuzzy Logic Rizaldi, Amri M; Ridwan, Ahmad; Anisa, Yuan; Salam, Rudi; Intyanto, Gramandha Wega; Cotfas, Daniel T; Cuong, Vo Hung; Udoudom, Uduak I.
Journal of Renewable Energy, Electrical, and Computer Engineering Vol. 3 No. 2 (2023): September 2023
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.v3i2.11281

Abstract

The high demand for electricity in the production process at PT Semen Padang requires a system that can cope with various kinds of disturbances. The problem is that the need for electrical loads is dynamic, especially in the short term, allowing fluctuations between electrical loads at uncertain times. A short-term electric energy consumption forecasting method is needed to determine load growth and distributed power supply. This research aims to use a fuzzy logic algorithm to perform short-term electrical energy consumption forecasting and compare the forecasting results with the actual load at PT Semen Padang. The results showed that short-term load forecasting for seven days using the fuzzy Mamdani method, namely Smallest of Maximum (SoM), obtained a percentage MAPE value of 8.15%. Meanwhile, the Weight of Average (WoA) Sugeno defuzzification method gets a portion of the MAPE value of 9.51%. The Sugeno method is more accurate than the Mamdani method in short-term electricity load forecasting for PPI Indarung V PT Semen Padang. If based on the time category, then forecasting the electricity load on holidays is better than predicting on weekdays. However, when viewed in terms of per day, in Wednesday has the smallest average MAPE value of 5.05%.
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.
Electromechanical Devices of Adaptive and Control-Tracking Systems G.S., Kerimzade; Jain, Vishal; Mahjabeen, Farhana; Ahmad, Munir; Patil, Dipak P.; Garba, Auwal; Mahajan, Vinod Shantaram
Journal of Renewable Energy, Electrical, and Computer Engineering Vol. 3 No. 2 (2023): September 2023
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.v3i2.11537

Abstract

In the presented work, some characteristics of devices of adaptive and control-tracking control systems are considered. The characteristic features of angle sensors, methods of converting analog signals with high accuracy (for example, sine-cosine transformers) occupies a leading position among the development and research of tracking systems. The modern electronic element base opens up new possibilities - the creation of tracking digital angle converters (TDAC) using the principles of digital tracking and adaptive control in them. Stability, efficiency, load form determines the reliability, accuracy, economy, service life of electromechanical automation devices, test equipment, etc. Determining the characteristics, establishing analytical relationships between the initial data and output parameters is one of the stages of the algorithm for solving the problems of designing equipment parameters for monitoring and tracking control systems, which in turn contributes to the development of a mathematical model from a system of equations, the joint solution of which allows you to establish analytical relationships between the initial data and settings.
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.
Design of Midi Drum Controller Using Piezoelectric and Arduino-Based TCRT5000 Sensor to Facilitate Sound Engineer Performance in the Music Industry Maulana, Mirza; Kartika, Kartika; Asran, Asran; Jannah, Misbahul; Hasibuan, Arnawan; Mursalin, M; Ahmed Al-Ani, Waleed Khalid; Isa, Muzamir
Journal of Renewable Energy, Electrical, and Computer Engineering Vol. 3 No. 2 (2023): September 2023
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.v3i2.11743

Abstract

This study discusses the Midi Drum Controller using the Arduino Mega which has many analog pins making it suitable for producing complete drum pads as well as piezoelectricity which is used to detect vibrations when the drum pad is beaten, as well as the Tcrt5000 sensor which is used to control the hi-hat so that it can move. from the sound of an open hi-hat to a closed hi-hat. The results of this study indicate that piezoelectricity can detect vibrations and dynamics of strong and weak drum beats and send the game to midi-based virtual drum applications. The Tcrt5000 sensor used can also work well, judging by the sound it produces and the data sent when the Tcrt5000 sensor is on and off.
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.
The Influence of Hot Point on MTU CB Condition at the Pgeli-Giugur 1 Bay Line (PT. PLN Paya Geli Substation) Maizana, Dina; Situmorang, Cando; Satria, Habib; Yahya, Yanawati Binti; Ayyoub, Muhammad; Bhalerao, Manoj V.; Mohammad, Ashif
Journal of Renewable Energy, Electrical, and Computer Engineering Vol. 3 No. 2 (2023): September 2023
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.v3i2.10600

Abstract

Local heating that occurs in substation equipment is caused by the current flowing in the conductor due to resistance. The parts that often experience heating are the terminals and connections at the substation, especially between two different metals, as well as the conductor cross-section which decreases due to corrosion. So that part must be considered. As for how to control or check the temperature is done by using thermovision. The heat temperature of the Circuit Breaker (CB) equipment at the Bay line PGELI-GIUGUR1 at Paya GeIi Substation is still in normal conditions where the temperature ranges from 20oC-43oC. But one phase need attention if temperature more than 70oC, it is needed for improvement plans. The temperature difference between the phases of the CB equipment at Bay Iine P. GELI-GLUGUR 1 at Paya Geli Substation has reached condition 5 (five), so it needs serious attention and a repair plan, to avoid short circuits between phases (R, S, T).
Determining the Appropriate use of 3 Phase 150 kV Transformer Oil Using the Fuzzy Method Maizana, MT, Dina; Tampubolon, Moulando; Muhathir, Muhathir; Siregar, Muhammad Fadlan; Yahya, Yanawati
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.v4i2.17914

Abstract

Transformer is electrical power equipment that functions to convert electrical energy from one voltage value to another through the action of a magnetic field. Transformers are important electrical equipment because they are directly connected to electricity transmission and distribution lines. The aim of this research is to analyze transformer oil and its suitability standards. The type of research used is quantitative research using the Dissolved Gas Analysis (DGA) method. The data obtained for this method will be calculated by applying Fuzzy Logic to map the problem or determine variables. The mapping results will then be calculated using Matlab as the result of mathematical data analysis in graph form.

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