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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
Arjuna Subject : -
Articles 256 Documents
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Design of a 1-phase Axial Flux Type Generator with a Variation of Winding on a Star-Shaped Stator Ikhsanudin, Muhammad; Novianto, Irwan; Prasaja, Bledug Kusuma
Circuit: Jurnal Ilmiah Pendidikan Teknik Elektro Vol. 8 No. 1 (2024)
Publisher : PTE FTK UIN Ar-Raniry

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22373/crc.v8i1.19658

Abstract

A single-phase axial flux generator with a star-shaped stator is required to explore the optimal use of rainwater energy as a renewable energy source. Untuk eksperimen, jumlah coils dan diameternya diubah. 25 coils dan 50 coils with 0.4 mm diameter and 25 coils and 40 coils with 0.5 mm diameter were designed. Generator performance will be tested under load and no load conditions at 600 rpm to 2000 rpm. The test results indicate that, for a single-phase axial generator running at 2.4W output conditions, increasing the number of windings impacts the voltage induced by the generator and that the number of stator windings influences the quantity of induced voltage, current, and power. Test findings with various winding variations, employing a 4.8V 0.5A or 2.4W light bulb load, demonstrate that an increase in winding count leads to an increase in electrical output
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.
Optimizing Voiceprint Modelling for Biometric Authentication and Security: Applications in Public Safety and Surveillance Kikmo, Christophe Wilba; Philippe, Totto Ndong Mathias; Samuel, Batambock; Jean, Nyatte Nyatte; Andre, Abanda
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: 10.22373/2e6p4114

Abstract

A novel biometric authentication framework based on voice recognition has recently gained prominence for applications in public security. This system employs a hybrid Deep Neural Network–Hidden Markov Model (DNN-HMM) architecture, optimized through the effective extraction of acoustic features using Mel-Frequency Cepstral Coefficients (MFCC). The distinctive innovation of this model lies in its ability to sustain an accuracy rate exceeding 95%, even under conditions of environmental noise and high intra-speaker variability. The system leverages a supervised learning framework that integrates the temporal modeling strengths of hidden Markov models with the discriminative capabilities of deep neural networks, thereby enabling real-time processing. Experimental results show that the system effectively resists threats like voice cloning and deepfake attacks, while also accelerating authentication procedures to meet strict cybersecurity standards. The model strictly adheres to confidentiality and informed consent requirements for voice data. Recent efforts to enhance algorithmic fairness have focused on mitigating linguistic biases related to diverse accents and dialects through comprehensive exploratory analyses. Future directions include integrating the system with multimodal biometric frameworks and expanding deployment via cloud-based infrastructures to ensure scalability. This advancement marks a significant step in intelligent voice authentication, harmonizing technological innovation with ethical accountability and robust security principles
Analysis of Control System and Signal Gain on Internet of Things-Based Electroencephalograph Circuit Feryadi, Panji; Stefanie, Arnisa; Santoso, Dian Budhi
Circuit: Jurnal Ilmiah Pendidikan Teknik Elektro Vol. 8 No. 1 (2024)
Publisher : PTE FTK UIN Ar-Raniry

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22373/crc.v8i1.17058

Abstract

Epilepsy, characterized by recurrent seizures, exhibits changes in brain signals with amplitudes far exceeding normal conditions (up to 800µV versus 5-200µV). The varying phases of seizures (from a few seconds to minutes and accompanied by tonic-clonic seizures) pose a risk, especially in public spaces. In this case, we designed a wearable, portable EEG that provides real-time seizure detection. Our design uses four voltage amplifiers with good accuracy and one filter circuit (differential: 97.83%, non-inverting: 96.92%, 96.5%, and 97.99%). The signal is amplified for detection, then filtered for optimal compatibility with the microcontroller. In addition to amplified brain signals, balance, light, and GPS sensors are used as binary indicators of epileptic conditions. This data is transmitted via the IoT system, showing Quality of Service in the Good and Very Good categories in the parameters Packet Loss, Throughput, Delay and Jitter. It can be concluded that the transmission data system shows data in the good category and jitter value in the very good category.
Difference Between the Power Consumption Rate of Pre-Paid and Post-Payment Customers: 900 Volt Ampere Mursyidin, Mursyidin; Syakir, Muhammad; Husnizar, Husnizar
Circuit: Jurnal Ilmiah Pendidikan Teknik Elektro Vol. 8 No. 1 (2024)
Publisher : PTE FTK UIN Ar-Raniry

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22373/crc.v8i1.17410

Abstract

Both the pre-paid KWH meter and the KWH meter after payment are instruments that PT. Perusahaan Listrik Negara (Persero), also often abbreviated PLN, uses to determine the printing number of KWH meters used by energy users. There is a problem with smart meters in society; many still have doubts about using them because they are thought to be more expensive. In the village of Alue Ie Mameh, the study is to determine the extent of variation in electricity consumption and the computation of electricity prices for pre-paid and post-payment clients over the course of a month of use. The mix method is the strategy. Ten pre-paid consumers and ten post-payment customers were polled by Objects. In the village of Mameh, post-paying customers use more electricity than pre-paid customers do. The longest-running electrical device used by residents of Alue Ie Mameh is their refrigerator, which operates around the clock.
Real-Time Monitoring System and IOT Smart Parking Booking (Case study: One Hotel in Tangerang) Nadeak, Yogi Valentino; Ho, Patricia; Masriah, Masriah
Circuit: Jurnal Ilmiah Pendidikan Teknik Elektro Vol. 8 No. 2 (2024)
Publisher : PTE FTK UIN Ar-Raniry

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22373/crc.v8i2.18020

Abstract

Since cars and motorbikes are the most popular personal mobility, public spaces must always provide enough parking for every visitor. However, occasionally there are more parking spaces available than there are guests, which makes it difficult for visitors to find an empty spot and takes a while. It can be found in the case study conducted in a hotel in Tangerang. This case study informs the development of an Internet of Things (IoT) smart parking system that uses Wi-Fi and the MQTT communication protocol to monitor user behavior, identify available parking spaces, and recognize vehicle entry. The ESP8266 microcontroller serves as the sensor node. Other sensors that are used include the RFID RC-522 sensor to determine how long a car user has been in the area, the Servo SG92R infrared (IR) sensor to detect the presence of a vehicle, and the HC-SR04 ultrasonic sensor to detect parking spaces. The outcomes showed that the Thingsboard platform's monitoring capability and the ability to reserve particular parking spaces using an MIT App Inventor app proved the smart parking system's successful implementation.
Use of Mini Solar Panels for Battery Charging in the Mini Robot Warehouse Nanda, Rizki Aulia; Karyadi, Karyadi; Roban, Roban
Circuit: Jurnal Ilmiah Pendidikan Teknik Elektro Vol. 8 No. 1 (2024)
Publisher : PTE FTK UIN Ar-Raniry

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22373/crc.v8i1.18472

Abstract

Industrial businesses have employed various robot cars to execute tasks related to goods movement, such as the Warehouse Robot Car, which utilizes a line follower sensor system. However, the substantial electricity consumption poses a challenge due to excessive energy use in robot cars. In light of this issue, the research aims to assess the utilization of mini solar panels in robot cars equipped with 3.3V Li-ION 18650 batteries. The primary objective is to calculate the electricity required to operate a line-following robot car within the designated sector. The approach involves designing robotics and solar panel systems for generating input and output power, including charging measurements. According to the findings, solar panels can charge at a maximum rate of 0.206358 watts for 45 minutes, while the robot can operate at a minimum rate of 0.26 watts for 29 minutes, resulting in a charging efficiency to robot performance of 43.5 percents.
Determination of Optimum Resources for the Blang Kejeren Electrical System Using PSS Sincal Application Panggabean, Ulil Azmi; Suriadi, Suriadi; Lubis, Rakhmad Syafutra
Circuit: Jurnal Ilmiah Pendidikan Teknik Elektro Vol. 8 No. 1 (2024)
Publisher : PTE FTK UIN Ar-Raniry

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22373/crc.v8i1.19441

Abstract

Currently, the Customer Service Unit (ULP) of the Blang Kejeren State Power Company (PLN) uses the system of the Diesel Power Power Centre (PLTD). Sistem ini terdiri dari PLTD yang dimiliki PLN dan PLtD Lewa, serta beberapa PLTMH (Pusat Listrik Tenaga Mikro Hidro). Aim of the study is to assess the technical viability of the 20 kV ULP Blangkejeren system if supplied with the Kutacane GI and parallel with Distributed Generation (DG). This is because there is no distribution network that can connect the Blangkejeren ULP load centre to the Kutacane GI. Using the PSS Sincal Power System Analysis Application, load scenarios for power plants and distribution networks are modeled and simulated. The findings indicate that the 20kV Ulp Blangkjeren system provided by GI Kutacana, PLTMH, PLTM Lawe, and PLTD Rema is the most appropriate scenario. This situation is regarded as optimal, with a network voltage of 21.07 kV on the ULP Blangkejeren Connection Guard Bus. 
Analysis And Mitigation of Harmonics Transformer Distribution at PT. PLN Syiah Kuala Faisal, Faisal; Lubisa, Ichsan Muhadis; Inayati, Ghina; Tarmizi, Tarmizi
Circuit: Jurnal Ilmiah Pendidikan Teknik Elektro Vol. 8 No. 2 (2024)
Publisher : PTE FTK UIN Ar-Raniry

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22373/crc.v8i2.19662

Abstract

Customers receive their electricity from distribution transformers; a disturbance will interfere with this process. High harmonics are typically the source of issues in distribution transformers. The distribution transformer at PT. PLN (Persero) ULP Syiahkuala has two issues: the neutral cable breaking and the main or secondary winding burning. Analyzing harmonics in distribution transformers at PT PLN (Persero) ULP Syiahkuala is the goal of this study. The goal of this study is to measure, examine, and assess the transformers at Syiahkuala ULP in order to select the best mitigation. One transformer's harmonic values were determined by the measurement findings to be out of compliance with requirements, necessitating the use of a variety of passive filters to reduce themThe results of THDi reduction using a passive filter are the values obtained for each phase R, S, and T. These values are in accordance with the established standards. From the results of harmonic mitigation using a passive filter, the results obtained in accordance with the THDv and THDi standards based on IEEE 159-2014 are 8% and 10%, respectively.

Page 24 of 26 | Total Record : 256

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