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CIRCUIT: Jurnal Ilmiah Pendidikan Teknik Elektro
Published by Universitas Islam Negeri Ar-Raniry Banda Aceh
ISSN : 25493698     EISSN : 25493701     DOI : 10.22373
Core Subject : Education, Engineering,
Education Electrical & Electronics Engineering Other
Journal Circuit is an Electrical Engineering Education Scientific journal which published by the Electrical Engineering Education Department, Faculty of Teaching and Training, Ar-Raniry State Islamic University, Banda Aceh. The Circuit Journal publishes empirical and theoretical contributions in the electrical engineering education scientific from the students, lecturers, professors or other scientists. The Circuit Journal manuscripts provide an original fundamental research, related to electrical engineering, electrical engineering education, and vocational education. The Circuit Journal also embossing the interpretative reviews, and discussion of new development in electrical engineering education
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Articles 11 Documents
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Search results for , issue "Vol. 9 No. 2 (2025)" : 11 Documents clear
Implementation of the Internet of Things in the Design and Development of a Three-Phase Power Monitoring System Nengsih, Sri; Hidayati, Noura
Circuit: Jurnal Ilmiah Pendidikan Teknik Elektro Vol. 9 No. 2 (2025)
Publisher : PTE FTK UIN Ar-Raniry

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22373/hm94kk28

Abstract

This research aims to design an IoT-based three-phase electrical power monitoring system, evaluate its performance, and compare it with manual measurements. The system is developed by using microcontroller-based sensors to measure voltage, current, and power parameters in real-time. The methodology used is the 4D model, simplified into three stages: define, design, and development. In the define stage, issues related to the inefficiency of conventional monitoring were identified. The design stage involved creating a system diagram incorporating components such as the PZEM-004T sensor, ESP8266 microcontroller, LCD I2C 16x2 display, and the Blynk application for real-time data visualization. The development stage included system construction, testing, and validation by four media experts, yielding a validation score of 92%, indicating that the system is highly feasible for use. The results indicate that the IoT-based monitoring system effectively measures three-phase electrical parameters, with real-time data displayed on both an LCD screen and the Blynk application for remote access. Compared to conventional monitoring methods, the system offers greater efficiency and responsiveness. Overall, the research stated has successfully enhanced the accuracy and convenience of three-phase power monitoring.
Design and Construction of a Variable Speed Drive Trainer as a Learning Medium for Electric Motor Installation at SMKS Sinar Husni 2 TR Labuhan Deli Tampubolon, Ricky Nelson; Sembiring, Muhammad Aulia Rahman; Simanjuntak, Felix Hizkia
Circuit: Jurnal Ilmiah Pendidikan Teknik Elektro Vol. 9 No. 2 (2025)
Publisher : PTE FTK UIN Ar-Raniry

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22373/vm776r48

Abstract

A persistent mismatch between vocational education outcomes and industry requirements presents a global challenge, often stemming from limited student exposure to modern industrial technologies. This study addresses the gap by designing, developing, and validating a cost-effective Variable Speed Drive (VSD) trainer as a practical and pedagogically appropriate learning medium. The research employed the waterfall development model, encompassing a structured process of needs analysis, system design, hardware implementation, and comprehensive evaluation to ensure the trainer’s feasibility and instructional effectiveness. The evaluation phase included expert validation and practicality testing with end-users. Validation results showed the VSD trainer and accompanying job sheet were rated “Highly Suitable,” with average scores of 3.67 from media experts and 3.63 from subject matter experts on a four-point Likert scale. Practicality scores were 3.61 from teachers and 3.38 from students, indicating strong usability and instructional relevance in real classroom settings. The findings suggest that the VSD trainer is a validated, scalable, and effective instructional solution that improves students’ conceptual understanding, practical skills, and motivation. These outcomes align vocational training more closely with industry demands. Further development integrating IoT-based remote monitoring is recommended to enhance the trainer’s functionality and relevance in digitally supported learning environments.
Performance Study of Single-Phase Self-Excited Induction Generator in Stand-Alone System Ikhsan, Muhammad
Circuit: Jurnal Ilmiah Pendidikan Teknik Elektro Vol. 9 No. 2 (2025)
Publisher : PTE FTK UIN Ar-Raniry

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22373/d5d56v97

Abstract

The performance of Self-Excited Induction Generators is significantly influenced by excitation conditions and load variations. One of the critical factors in maintaining voltage and frequency stability is the selection of an appropriate shunt capacitor to supply the required reactive power. This study investigates the impact of shunt capacitance variation on Self-Excited Induction Generators performance under different operating conditions. Experimental analysis is conducted to examine the relationship between shunt capacitance, terminal voltage, excitation current, and frequency stability at various load levels. The results demonstrate that increasing shunt capacitance enhances terminal voltage and excitation current. Furthermore, this study presents best practices for determining the excitation capacitance to ensure stable SEIG voltage generation in standalone power generation applications.
Design of a Flood Detection System Using VL53L1X Sensor Based on SMS Gateway Hais, Yosi Riduas; Hamganisyah, Fadhil Islah; Saputra, Edi
Circuit: Jurnal Ilmiah Pendidikan Teknik Elektro Vol. 9 No. 2 (2025)
Publisher : PTE FTK UIN Ar-Raniry

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22373/7r0ewd48

Abstract

Floods often occur suddenly, disrupting community activities, damaging infrastructure, and threatening human lives. Traditional flood monitoring methods, such as using rulers at dams or floodgates, are less effective because they cannot provide real-time alerts. Therefore, a more efficient and responsive system is needed. This research focuses on the design and development of a flood early detection system using the VL53L1X sensor integrated with an SMS Gateway. The system is capable of monitoring both water levels and rainfall in real-time and automatically sending notifications when potential flooding is detected. The study applies the ADDIE method—Analysis, Design, Development, Implementation, and Evaluation—to ensure systematic development and testing. Based on experimental results, the system successfully measured water levels and rainfall while sending SMS notifications. In the first test, the water level was 29.8 cm with 19.25 mm of rainfall, categorized as safe. In the second test, the water level rose to 59.9 cm with 45 mm of rainfall, generating a warning alert. The third test showed a water level of 81.5 cm and rainfall of 47.75 mm, categorized as danger. The system demonstrated reliable performance, with an average notification delay of just three seconds, proving effective for early flood detection
IoT-Based Real-Time Monitoring and Control of Well Water Filtration Fitriady, Fitriady; Fakhruddin, Fakhruddin; Safwan, Safwan; Effendi, Effendi
Circuit: Jurnal Ilmiah Pendidikan Teknik Elektro Vol. 9 No. 2 (2025)
Publisher : PTE FTK UIN Ar-Raniry

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22373/dqdhmc22

Abstract

Controlling a well water filtration system via the internet is a modern solution in the industry 4.0 era to ensure optimal filter performance. This study aims to develop an IoT-based system to monitor and control well water filtration by measuring inlet and outlet pressures. The system uses two pressure sensors, one turbidity sensor, and five solenoid valves to regulate the filtration, backwashing, and rinsing processes. All components are integrated with a NodeMCU ESP32 microcontroller. The IoT user interface was developed using the Blynk application on an Android smartphone, which allows real-time monitoring and automatic notification when filter performance decreases. Experimental trials were conducted by gradually injecting turbid water with varying turbidity levels (low, medium, high) into the filter. The results showed that filter clogging caused an increase in inlet pressure and a decrease in outlet pressure. The backwashing and rinsing processes can be activated via a smartphone when the inlet pressure increases by 24%–45% and the outlet pressure decreases by 37%–72%. The turbidity of the filtered water remained within the range of 0.14–0.19 NTU, which is still below environmental health standards. This demonstrates that the developed IoT-based filtration system is effective for real-time monitoring and control of well water quality.  
Speed Measurement for Three-Phase Induction Motor Drive Based on Arduino Uno Haris, Muhammad; Mursyidin
Circuit: Jurnal Ilmiah Pendidikan Teknik Elektro Vol. 9 No. 2 (2025)
Publisher : PTE FTK UIN Ar-Raniry

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22373/ztwfnx93

Abstract

This study aims to design and test a three-phase induction motor speed measurement device based on Arduino Uno. Three-phase induction motors are often used in industry because of their reliability, high efficiency, and easy maintenance. However, these motors have weaknesses, namely low starting torque and difficulty in regulating speed, which can cause operational instability. Therefore, this study developed an Arduino Uno-based control system capable of regulating motor speed by changing the frequency of the electrical supply. This research is quantitative in nature and uses an experimental method. The results of the study show that the designed device is capable of improving the stability and operational efficiency of three-phase induction motors. The use of an LM393 speed sensor aligned with the motor rotor allows the system to respond to load changes in real-time, maintain a constant speed, and reduce energy consumption. Based on these results, it can be concluded that the development of an Arduino Uno-based speed measurement device is effective in addressing the challenges of controlling the speed of a three-phase induction motor and has broad application potential in industry.
Design of a One-Phase Induction Motor Forward and Reverse Trainer for The Electrical Motor Control Practicum Course Abdurrahman, Maulana; Lastya, Hari Anna; Ikhsan, Muhammad
Circuit: Jurnal Ilmiah Pendidikan Teknik Elektro Vol. 9 No. 2 (2025)
Publisher : PTE FTK UIN Ar-Raniry

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22373/pnag2f85

Abstract

The Electrical Motor Control course is a crucial in learning about electric drive systems. However, the lack of representative often becomes an obstacle in the learning process. One phase forward reverse motor demonstration tool has never been present in the Electric Motor Control Practical. This study aims to design a forward and reverse single-phase induction motor trainer to be used as a learning medium in the Electrical Motor Control practicum. The research adopts a research and development (R&D) method using the Borg and Gall model, which includes the stages of problem identification, literature review, planning, product design, expert validation, and product revision. The validation instruments used in this study involved media experts and subject matter experts, with two experts in each field evaluating the feasibility of the forward and reverse single-phase induction motor trainer design. Based on the validation results, the material experts gave a score of 94% and the media experts gave a score of 86%, both of which fall into the "highly feasible" category for use in the Electrical Motor Control practicum course. It can be concluded that the developed single-phase forward-reverse induction motor trainer is suitable for use as a learning medium and has the potential to increase the effectiveness of Electric Motor Control practicums.
Arima Modeling for High-Frequency Channel Response in Equatorial Region Jaya, Indra; Nawawi, Muhammad; Handoko, Lukman; Alfiah, Agry
Circuit: Jurnal Ilmiah Pendidikan Teknik Elektro Vol. 9 No. 2 (2025)
Publisher : PTE FTK UIN Ar-Raniry

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22373/5yvm4332

Abstract

Indonesia, an archipelagic country located along the equator, is highly vulnerable to natural disasters. At the same time, its geographical conditions require reliable telecommunications to strengthen connectivity across its many islands. One effective solution is the utilization of High-Frequency (HF) communication technology, which enables long-distance communication and supports broadcasting-based telecommunications. This approach can expand available frequency channels, making HF radio communication an important tool for disaster-prone regions like Indonesia. To optimize HF communication, researchers have developed various models of HF channel radio systems, often represented statistically and implemented through channel simulators. Among these approaches, the Auto Regressive Integrated Moving Average (ARIMA) model has been identified as particularly suitable. This is because ARIMA can handle the non-stationary characteristics of time-series data, such as those found in HF channel attenuation measurements. In the modeling process, several ARIMA configurations were tested, including ARIMA (0,1,1), (0,0,5), (1,0,0), (1,0,1), (1,0,2), and (0,0,4). From these options, two models—ARIMA (1,0,0) and ARIMA (1,0,2)—showed the closest fit to the observed data. The final selection was made using the Akaike Information Criterion (AIC), where the ARIMA (1,0,2) model emerged as the best. This model provides the most accurate representation for predicting HF channel attenuation, supporting more reliable telecommunications systems for Indonesia.
Short-Term Electricity Load Forecasting Using Bayesian Regularization-Based Neural Network: A Case Study in Langsa City Fauzi, Ahmad; Tarmizi; Adriman, Ramzi
Circuit: Jurnal Ilmiah Pendidikan Teknik Elektro Vol. 9 No. 2 (2025)
Publisher : PTE FTK UIN Ar-Raniry

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22373/b7mnv944

Abstract

This study focuses on enhancing the accuracy of artificial neural network (ANN) methods in electricity load prediction for intelligent energy systems. Various optimization techniques, such as Bayesian regularization, have been introduced to improve model performance and generalization capability. A major challenge in ANN-based prediction models is overfitting, which occurs when the network topology fails to generalize input–output relationships, leading to poor prediction accuracy on unseen data. The research aims to develop an improved electricity load prediction model for Langsa City by applying a Bayesian regularization algorithm to minimize overfitting in the neural network topology. A quantitative experimental approach was used, which multiple ANN architectures with historical electricity load datasets. The Bayesian regularization algorithm optimized weight adjustments and minimized mean squared error during training. Results indicate that the proposed model effectively reduces overfitting and enhances predictive accuracy, achieving a Mean Absolute Percentage Error (MAPE) of 2.45%. These findings demonstrate that Bayesian regularization significantly enhances ANN reliability, stability, and forecasting capability for future intelligent energy management applications
Design and Build Seawater Temperature and pH Measuring Equipment Microcontroller-Based Pasaribu, Roberto Patar; Roni Sewiko; Iftinan Nabila; Ismail, R.Moh; Soeprijadi, Liliek
Circuit: Jurnal Ilmiah Pendidikan Teknik Elektro Vol. 9 No. 2 (2025)
Publisher : PTE FTK UIN Ar-Raniry

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22373/gtxp8937

Abstract

The quality of water in a body of water has a very important role in supporting the survival and sustainability of the organisms that live in it. One of the important indicators of seawater quality is the physical and chemical parameters, including seawater temperature and pH. Temperature is a measure of the energy of molecular movement that plays a crucial role in regulating biological processes and the distribution of organisms. Meanwhile, variations in pH values can cause changes and imbalances in CO₂ levels that may endanger marine ecosystems. The purpose of this research is to design and develop a microcontroller-based seawater temperature and pH measuring device using a DS18B20 temperature sensor and a 4502C pH sensor. The results show that the device can detect water quality parameters in real time with an average accuracy of 99% when compared to standard measuring instruments. This research concludes that the designed device is effective, reliable, and easy to use for monitoring seawater quality. The implication of this study is that it can provide a low-cost and practical solution for environmental monitoring, support sustainable marine resource management, and be further developed into an integrated system for wider applications.

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