cover
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
ISSN : -     EISSN : 27760049     DOI : http://dx.doi.org/10.29103/jreece
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.
Articles 101 Documents
Surface Modification of Carbon Nanotubes (Cnnts) as Electrode of Hybrid Energy Storage Device (Supercapacitor) Reza, Mutia; Pusfitasari, Memik Dian; Ernawati, Lusi; Sari, Thalia Winda; Wardhani, Ranti Kusuma; Sylvia, Novi; Maharsih, Inggit Kresna
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.v5i1.20250

Abstract

Supercapacitors have an advantage in the form of a higher specific capacitance than conventional capacitors. This alternative is the right idea if it is used to solve the problem of using hybrid energy storage demand. This study aims to analyze the variation in the ratio between activator and carbon nanotubes (Cnnts) that function as electrodes. Electrodes are one of the constituent components of supercapacitors, so they are important to review. Electrodes in the form of Cnnts activated using H2SO4 and HNO3 were analyzed through SEM and FTIR characterization. The activation process produces mesoporous size on the electrode. The activation method is also able to form aromatic compounds that are important for heat stability and electrical conductivity.
Clustering Level of Cigarettes Addiction Among Malikussaleh University Students Using K-Means Method Alvesaldy, Alvin; Asrianda, Asrianda; Razi, Ar
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.v5i1.18165

Abstract

Cigarettes are a form of tobacco product produced by rolling dried tobacco leaves into small cylindrical sticks. Cigarettes are usually used for smoking, namely smoking and inhaling the smoke produced when tobacco leaves are burned. Cigarettes generally contain ingredients such as tobacco leaves, which can contain nicotine, an addictive substance that causes dependence. Apart from that, cigarettes also contain various other dangerous chemicals such as tar, carbon monoxide and formaldehyde. The smoke produced when a cigarette is burned creates more than 4,000 chemicals, of which about 70 are known to cause cancer. This research aims to help students at the Faculty of Engineering, Malikussaleh University to help students find out the level of their addiction to cigarettes. This research also gave birth to a grouping system that uses the Python programming language and MySQL as the database. The K-Means Clustering algorithm used in this grouping system states that out of 200 students at the Faculty of Engineering, Malikussaleh University, 28 people are smokers who have a low level of addiction (C1), 77 people have a moderate level of addiction (C2), 55 people have a heavy level of addiction. (C3), 40 people had a very severe level of addiction (C4). This system can be used to determine the level of cigarette addiction among students at the Faculty of Engineering, Malikussaleh University in the future.
Harnessing Sustainable Energy: Pico-Hydro Power Generation Using an Undershoot Water Wheel Turbine in Irrigation Canals Imawati, Iftitah; Kurniawan, Galang Ismu; Ghifari, Muhammad Rifan; Nauval, Muhammad; Arisandi, Fajar; Mubarok, Husein; Setiawan, Hendra
Journal of Renewable Energy, Electrical, and Computer Engineering Vol. 5 No. 2 (2025): September 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.v5i2.18874

Abstract

With the increasing demand for electricity and environmental concerns related to the use of fossil fuels, the need for renewable energy solutions is becoming increasingly important. The potential of hydropower generation needs to be harnessed for daily electricity needs. The proposed system harnesses the flow of water in irrigation channels, using turbines made of galvanized plates and plastic to generate electricity for small-scale applications such as street lighting. To overcome the challenges of manual monitoring, especially during the rainy season, an IoT-based monitoring tool is included. This tool allows remote tracking of system performance, including generator output, battery voltage, and load current, through an internet-connected smartphone interface, allowing for real-time monitoring. Laboratory and field tests were conducted in Yogyakarta, Indonesia. The system demonstrated the ability to produce stable voltage and power, achieving an efficiency of 11.38%. The system demonstrated a data transmission delay of 5.64 seconds via Blynk, with a recorded power consumption of 2,231 watts. The sensor readings showed high accuracy, with generator voltage accuracy of 99.33% and load current accuracy of 99.26%.
Design of Arduino-Based Automatic Motor Wire Rewinding System Parningotan, Jasman Wanfaber; Napitupulu, Janter; Sholeha, Dewi; Ammar, Muhammad Khoirul
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.v5i1.19136

Abstract

In the industrial world, the motor winding process is one of the important stages in the manufacture and rewinding of electric motors. Many electric motors are damaged and even the motor can burn because in the operation of electric motors often serve loads that exceed the limits of the motor's ability (overload), contaminated with foreign objects, age, bearing problems, which can cause the effect of changing the current, causing heat which if left for a long time can cause burning of the motor wire winding. With the damage to the motor wire winding, a cost-effective solution that can be done is to rewind the motor wire. the motor rewinding process is carried out so that the winding can return to normal and work properly. The research was conducted using the experimental method. In the research, an automatic rolling device using an Arduino microcontroller was designed. The test results that the system can function normally in the process of inputting the value of the number of rolls, rolling driven by stepper motors and LCD has functioned properly in displaying each data on the system designed.
The Effect of Temperature Variation and Absorber Type on the Pyrolysis of Sawdust Using Microwaves Saputro, Muhammad Arief; Saptoadi, Harwin; Putra, Robertus Dhimas Dhewangga
Journal of Renewable Energy, Electrical, and Computer Engineering Vol. 5 No. 2 (2025): September 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.v5i2.19543

Abstract

Biomass is a renewable and environmentally friendly energy source. However, its utilization is often inefficient, such as in direct combustion and biological processes. Pyrolysis, a method of heating biomass without oxygen, can enhance the value of biomass by producing gas, oil, and char. Microwave technology makes the pyrolysis process more efficient. This study varied the pyrolysis temperatures (350°C, 400°C, 450°C, 500°C) and used KOH and SiC as varied absorbers. KOH was chosen because it contains O and H elements that help absorb microwaves, while SiC is effective in improving heating efficiency. The results showed that pyrolysis at 350°C produced the highest biochar yield of 59.3% of the biomass weight. The highest bio-oil yield, 27.7%, was obtained at 400°C.Pyrolysis without an absorber demonstrated that sawdust cannot absorb microwaves effectively, as the temperature only reached around 200°C, which is insufficient for pyrolysis. SiC increased the temperature of the sawdust (between 200°C - 330°C) earlier than KOH. However, KOH led to higher bio-oil production than SiC. The findings suggest that absorber type and pyrolysis temperature significantly influence the efficiency and product distribution. Microwave-assisted pyrolysis with absorbers offers a promising method for converting biomass into valuable energy products, highlighting its potential for further development.
Optimization of Cumene Production Through Reactive Distillation with Heat Integration Saputra, Galang Adi; Widjaja, Amadeus Vincent; Sunandar, Kudrat
Journal of Renewable Energy, Electrical, and Computer Engineering Vol. 5 No. 2 (2025): September 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.v5i2.19605

Abstract

This study aims to optimize the cumene production process through reactive distillation by implementing heat integration to enhance energy efficiency and reduce operational costs. Cumene is produced via the alkylation reaction between benzene and propylene in a reactive distillation column, where reaction and product separation occur simultaneously. The research method involves process simulation using Aspen HYSYS software, comparing processes without and with heat integration. Simulation results indicate that heat integration reduces total energy requirements from 48,023 kW to 37,956 kW, achieving an energy saving of 10,067 kW. Additionally, this energy saving translates into an annual operational cost reduction of $377,309. While the amount of cumene produced remains constant at 7,055 kg/hour, heat integration proves effective in reducing costs and improving overall process efficiency. This study concludes that heat integration in reactive distillation is an economical and efficient solution for cumene production, with broad adoption potential in the chemical industry.
Systematic Literature Review: Implementation of Machine Learning for Intrusion Detection Khilda, Amanda Amelia; Rayhan, M. Shaquille; Amaliah, Annisa Rizki; Nurbojatmiko, Nurbojatmiko
Journal of Renewable Energy, Electrical, and Computer Engineering Vol. 5 No. 2 (2025): September 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.v5i2.20300

Abstract

The rapid development of information technology has an impact on the increasing threat to cyber security. One of the main threats is intrusion attacks that are increasingly complex and diverse. To solve this problem, machine learning-based Intrusion Detection System (IDS) is a promising solution due to its ability to detect threats automatically and efficiently. However, the large number of machine learning methods available poses a challenge in determining the best approach for various needs. This research aims to conduct a systematic literature review using PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. This literature review identifies and categorises previous studies related to the application of machine learning in IDSs based on the problem addressed, proposed solution, research method, metric parameters, research object, and research results. The data for this research is taken from trusted sources, such as Google Scholar, IEEE, Elsevier, Springer, and MDPI. The results of this review are expected to provide a deeper understanding of the application of machine learning in IDS and provide direction for other researchers to fill the remaining research gaps.
Review of the Effectiveness of Roof-Mounted Solar Panels Compared to Wall-Mounted Residential Houses in South Sumatra Island Indonesia Harahap, Muhammad Rayyan; Firdaus, Suryadhi; Rusdianasari, Rusdianasari
Journal of Renewable Energy, Electrical, and Computer Engineering Vol. 5 No. 2 (2025): September 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.v5i2.20675

Abstract

Solar energy, one of the most abundant and widely used renewable resources in the world, delivers an incredible amount of power. In just one hour, the amount of solar energy striking the Earth's surface is approximately 410-430 trillion joules, which exceeds the total energy consumption of all humans, estimated at around 400-410 trillion joules. This energy is widely utilized for household purposes. According to data from the Ministry of Energy and Mineral Resources, R-3 customers”those using electricity above 6,600 VA”have an average national consumption of 122 kWh per month. This electricity demand is still primarily supplied by PLN (State Electricity Company). Household electricity supply from PLN can be supplemented with solar power generated by solar panels. To optimize the use of available space, solar panels can be installed on rooftops or exterior walls of houses. In this journal, the author will review the effectiveness of solar panels installed on rooftops which called as Roof Mounted Solar Panel and exterior walls of residential houses or so called as Wall Mounted. The review focuses on the power production of solar panels placed in these different locations at the same coordinates simultaneously. The research is conducted using the Experimental Research Method.
Planning to Reconfigure the 150 kV Transmission Network at PT. PLN (Persero) Tualang Cut Network and Substation Hasibuan, Arnawan; Asran, Asran; Adriansyah, Fery; Ismail, Baharuddin; Siregar, Widyana Verawaty; Sayuti, Muhammad
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.v3i2.11740

Abstract

System condition at PT. PLN (Persero) Tualang Cut Substation where the reliability of the 150 kV system depends on the Langsa Substation, which we will reconfigure on the Lgs-P.B and Lgs-T.C channels to P.B-T. C and T.C-Lgs. The planning for the reconfiguration of the 150 kv transmission network of the Tualang Cut Substation was carried out by estimating the distance of the transmission line and the constraints that occurred. The condition of the electric power system that is currently operating at PT. PLN (Persero) Tualang Cut Substation is considered less efficient in receiving power from the 150 kV SUTT interconnection. The SUTT in Tualang Cut currently receives electrical power from the Langsa Substation with a Losses value on lines 1 and 2 of 771,4142474 kW and experiences a Voltage Drop on lines 1 and 2 of 4,38 kV. After we reconfigured the channel, from the results of the reconfiguration there was a decrease in Losses on channels 1 and 2 by 311,298581 kW which before the reconfiguration of power losses on the line amounted to 771,4142474 kW and after being reconfigured to 460,1156668 kW there was a decrease in Voltage Drop on channels 1 and 2 by 1,44 kV, before the reconfiguration of the voltage drop on the line of 4,38 kV and after the reconfiguration to 2,94 kV, the reconfiguration carried out is the best solution to reduce losses and voltage drops.
Log-Spiral Sensor Design to Detect Partial Discharge in Transformer Sinaga, Herman H; Permata, Diah; Purwasih, Nining; Akbar, M. Achirul
Journal of Renewable Energy, Electrical, and Computer Engineering Vol. 5 No. 2 (2025): September 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.v5i2.18789

Abstract

The method of detecting electromagnetic signals generated by partial discharge is a method that is currently developing to detect early damage to Transformers. This method is done by utilizing an antenna that serves as a sensor to capture electromagnetic signals. This paper discusses the design of sensors to detect partial discharge in Transformers. The designed sensor is a planar type which has dual-arms log-spiral. Customized sensor dimensions inspection windows are commonly found on power transformers, with a diameter of 15 cm. With the specified dimensions attached sensor with an impedance of 160 Ohms. Because measuring instruments generally have an impedance of 50 ohms, it takes a balun as a transition from the sensor impedance of 160 Ohms. The designed Balun is a coplanar wave guide - coplanar strip line (cpw-cps) type with 6 of number of transition.

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