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Jurnal Edukasi Elektro
Published by Universitas Negeri Yogyakarta
ISSN : 25488252     EISSN : 25488260     DOI : -
Core Subject : Education, Engineering,
Control & Systems Engineering Education Electrical & Electronics Engineering Industrial & Manufacturing Engineering
Edukasi Elektro is a open access peer reviewed research journal that is published by Electrical Engineering Education Department - Faculty of Engineering - Yogyakarta State University. Edukasi Elektro is providing a platform for the researchers, academicians, professional, practitioners and students to impart and share knowledge in the form of high quality empirical and theoretical research papers, case studies, literature reviews and book reviews on education.
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Articles 161 Documents
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Power Consumption Analysis and Evaluation of Energy Saving Potential of Lighting System in DEF Building Wardhana, Alex Sandria Jaya; Zamtinah; Sukisno, Toto; Yuniarti, Nurhening; Bachrun, Muhammad Al Azis
Jurnal Edukasi Elektro Vol. 9 No. 1 (2025): Jurnal Edukasi Elektro Volume 9, No. 1, May 2025
Publisher : DPTE FT UNY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jee.v9i1.85443

Abstract

This study aims to analyze power consumption and evaluate the potential energy savings of the lighting system in the DEF Building, which has various room functions including offices, laboratories, meeting rooms, and libraries. The study was conducted with a descriptive quantitative approach based on field measurement data. Data collection includes measuring lighting intensity (lux), inventory of types and number of lamps, and power consumption (watt). The measurement results were compared with the Indonesian National Standard SNI 6197:2020 to assess the minimum lighting level and maximum power limit. In addition, a simulation of replacing conventional lamps with LED lamps was carried out using Dialux Evo software. The results showed that most rooms had power consumption per square meter that was still efficient (<12 W/m²), but many rooms did not meet the minimum lighting standards. The simulation of replacing lamps with LEDs resulted in significant power savings, with a total reduction in energy consumption of 928.93 kWh per month or equivalent to electricity cost savings of around Rp1,362,997.48. Replacing lamps was also able to improve the quality of lighting in rooms that previously did not meet the standards. This study shows that effective lighting system management through LED lamp retrofitting can be an important strategy in supporting building energy efficiency.
Development of a Smart Plant Watering Robot Using Soil Moisture and Light Intensity based on Fuzzy Logic Control Ayu Martini, Ni Putu Devira; Lukmana, Muhammad Arifudin; Pradana, Sigit
Jurnal Edukasi Elektro Vol. 9 No. 1 (2025): Jurnal Edukasi Elektro Volume 9, No. 1, May 2025
Publisher : DPTE FT UNY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jee.v9i1.85932

Abstract

Urban agriculture offers a strategic solution to improve food security and environmental sustainability in cities. However, challenges such as limited land and inefficient irrigation often hinder its effectiveness. This research proposes a smart automatic irrigation system tailored for small-scale urban farming. The system combines fuzzy logic and a two-axis cartesian robot to deliver water precisely based on real-time light intensity and soil moisture data. The fuzzy logic controller dynamically adjusts watering frequency and volume, ensuring efficient water use. Experimental results show the robot achieved a movement error rate of only 3.63%, while the fuzzy logic system reached a decision accuracy of 93.1%. Post-irrigation testing also revealed a 94.83% average increase in soil moisture, indicating the system's ability to restore optimal growing conditions. This approach demonstrates a scalable and sustainable solution for plant care in urban settings, supporting resource-efficient and productive farming in limited spaces.
Recurrent Neural Network Model for Short-term Electric Load Forecasting Yahya, Muhammad Amri; Prasetyo, Tegar; Fikri, Muhammad
Jurnal Edukasi Elektro Vol. 9 No. 2 (2025): Jurnal Edukasi Elektro Volume 9, No. 2, November 2025
Publisher : DPTE FT UNY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jee.v9i2.86643

Abstract

Accurate short-term electricity load forecasting is critical for planning power generation and maintaining cost efficiency. Since the amount of electricity generated significantly affects the cost-efficiency of power generation, a forecasting method with high accuracy is required. In response, this study developed a Recurrent Neural Network (RNN) model architecture trained using three different algorithms: Levenberg-Marquardt, Bayesian Regularization, and Scaled Conjugate Gradient. The model's performance was evaluated using the Mean Absolute Percentage Error (MAPE) metric. Historical load data were categorized by day type and divided into training and testing sets. The best-performing RNN model was used to carry out load forecasting, which was then compared to the forecasting results from PT PLN. Among the models tested, the RNN trained with Bayesian Regularization, configured with an 8-16-1 network architecture using a learning rate of 0.01 achieved the highest accuracy. In a two-week forecasting simulation, this model reached a MAPE of 1.4084%, significantly outperforming the 3.3160% error from PLN’s conventional forecasting method. These results underpin the effectiveness of RNNs, particularly when trained with Bayesian Regularization, for enhancing short-term electricity load forecasting within the scope of this dataset.
Implementation of a Camera-Based Inspection System for Measuring the Diameter of 3D Printed Filaments Made from LDPE Water Bottle Caps Sunarya, Adhitya Sumardi; Candra, Wahyu Adhie; Lestari, Miranti; Taqi, Khoutal
Jurnal Edukasi Elektro Vol. 9 No. 2 (2025): Jurnal Edukasi Elektro Volume 9, No. 2, November 2025
Publisher : DPTE FT UNY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jee.v9i2.87996

Abstract

Advances in additive manufacturing technology are driving the need for high-quality, affordable, and sustainable filaments. In Indonesia, the demand for filaments and extruders is largely met through imports, prompting researchers to innovate and develop filament extrusion machines, including those at the Politeknik Manufaktur Bandung, which has developed a filament extrusion machine equipped with a camera-based inspection and control system to produce high-quality filaments from LDPE gallon cap waste. This system integrates a digital microscope camera and a microcontroller to monitor the diameter of the extruded filament and correct the diameter by controlling the speed of the pull motor to stabilize the diameter in real-time. Image processing uses a color-based edge detection algorithm, and camera calibration results show a precision of 0,009 mm/pixel. Diameter data is sent to the Arduino Mega, which then uses the L298N driver to control motor speed via the Sliding Mode Control (SMC) method. Test results show that at 15 RPM, the average filament diameter is 1,77 mm with an error of 1,14%, while at 20 RPM it becomes 1,56 mm with a larger error of 10,86%, compared to the standard commercial filament size of 1,75mm. SMC control also demonstrated better performance than PID in terms of system accuracy in reaching the set point. This system could serve as an economic and ecological solution for local recycled filament production, reducing dependence on imported products.
Performance Enhancement of 100WP Monocrystalline Solar Panel using Mirror Reflectors Dionova, Brainvendra Widi; Rahmanda, Ibnu Dwi; Putri, Arisa Olivia; Eteruddin, Hamzah; Pratama, Legenda Prameswono; Hendrawati, Dwiana; Abdulrazaq, Mohammed N.
Jurnal Edukasi Elektro Vol. 9 No. 2 (2025): Jurnal Edukasi Elektro Volume 9, No. 2, November 2025
Publisher : DPTE FT UNY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jee.v9i2.85796

Abstract

This research analyzes how the reflection of sunlight intensity affects the power generated by a 100WP monocrystalline solar panel with the addition of various reflector tilt angles. An experimental method was used to conduct this analysis by comparing three tests: a solar panel without a reflector, with a 60° angled reflector, and with a 75° angled reflector. Data was collected at one-hour intervals from 09:00 to 16:00 WIB, measuring parameters such as temperature, intensity, voltage, current, and power. The results showed that the addition of a flat mirror reflector significantly improved the performance of the solar panel. With a 75° tilt angle, the total power generated was 373.32W, compared to the total power generated at 60° of 366.93W and without a reflector of 208.62W. The highest power peak was achieved at 13:00 WIB with the 75° reflector at 69.31W. This research demonstrates that a reflector tilt angle of 75° is the most optimal for increasing the efficiency of monocrystalline solar panels as it distributes sunlight more evenly across the panel surface. The recommendation for future research is the utilization of software-based simulations and IoT integration for real-time monitoring, to strengthen experimental data validation and expand the application of this technology at both industrial and household scales.
Design and Implementation of a Web-Based SCADA for Closed-Loop PID Control Optimized by AI with PLC Integration: A Multi-Layer Architecture Integrating Real-Time Monitoring, Intelligent PID Tuning, and Industrial Automation Ramadhan, Laode Abdikarso Panca; Irawan, Denny
Jurnal Edukasi Elektro Vol. 9 No. 2 (2025): Jurnal Edukasi Elektro Volume 9, No. 2, November 2025
Publisher : DPTE FT UNY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jee.v9i2.88868

Abstract

This journal aims to design and implement a Web Based SCADA system integrated with PLC and using the Firefly algorithm for PID control parameter optimization in a closed loop system. The system is developed following the ISA-95 architecture on 1st Layer to 3rd Layer, including data collection via PLC, monitoring via SCADA, and AI-based control and analysis. The Firefly algorithm is used to automatically refine the Kp, Ki, and Kd parameters so that the control system works optimally. Testing was carried out on a liquid level control system using the LCV-01 valve control. The results showed that the Firefly method produced faster steady state time and lower overshoot compared to the manual and Ziegler-Nichols methods. The developed Web Based SCADA interface supports real time monitoring, multiuser, historical data trending, and is flexible to access via a browser without special installation. This SCADA-AI-PLC integration provides an adaptive, efficient, and economical solution for modern industrial automation.
Implementation of Low-Cost Smart Waste Bin with Fuzzy Logic Control Using MQ-2 and HY-SRF05 Sherila, Ayu Mika; Martini, Ni Putu Devira Ayu
Jurnal Edukasi Elektro Vol. 9 No. 2 (2025): Jurnal Edukasi Elektro Volume 9, No. 2, November 2025
Publisher : DPTE FT UNY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jee.v9i2.88875

Abstract

Urban waste management systems often fail to address hygiene and efficiency when relying on conventional bins or rigid threshold-based controllers. This paper presents a low-cost smart trash bin that integrates dual-sensor fuzzy logic control to adaptively regulate lid positions in real time. Unlike prior designs dependent on a single sensing modality, the proposed system fuses odor intensity (via MQ-2 gas sensor) and fill-level data (via HY-SRF05 ultrasonic sensor) within a Sugeno-type fuzzy inference framework. The controller supports five graded lid positions, ranging from fully closed to fully open, ensuring nuanced and hygienic responses to varying environmental conditions. Experimental validation across 25 scenarios yielded robust performance, with maximum errors below 9% and an average deviation of only 1.91%. The most accurate results were observed in the fully closed state, while the highest deviations occurred in the almost closed position due to mechanical limitations and nonlinear actuator behavior. Despite these drawbacks, the system consistently demonstrated adaptive decision-making and stable operation, confirming its suitability for real-world applications. Furthermore, comparative analysis against threshold-based and AI-based controllers reveals that the fuzzy approach achieves superior adaptability and near-ANN accuracy while maintaining computational efficiency compatible with Arduino-based platforms. These findings establish fuzzy sensor fusion as a practical pathway toward sustainable, IoT-enabled, and educationally relevant waste management solutions, paving the way for integration into future smart city infrastructures
Development of Virtual Reality-Based Electric Motor Control Simulation for Improving Electric Motor Installation Competency in Vocational High Schools Ramdhan, Rizal Muhammad; Ismara, Ketut Ima; Ramelan, Agus
Jurnal Edukasi Elektro Vol. 9 No. 2 (2025): Jurnal Edukasi Elektro Volume 9, No. 2, November 2025
Publisher : DPTE FT UNY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jee.v9i2.89226

Abstract

Many vocational schools in Indonesia face limitations in laboratory facilities and practical equipment, which hinders students’ ability to master electric motor installation competencies. Virtual Reality (VR) offers a potential solution by providing safe, interactive, and cost-efficient learning environments that simulate real laboratory conditions. This study aims to develop and assess the feasibility of a VR-based electric motor control simulation as instructional media for vocational high schools. The novelty of this research lies in integrating pedagogical, ergonomic, and occupational safety aspects into VR learning, which are rarely addressed in previous studies. A Research and Development (R&D) approach was employed using a modified Waterfall model. Three-dimensional assets were created in Blender and implemented in Unreal Engine 5 to build immersive virtual environments. Validation was conducted by two media experts, two material experts, and 73 vocational students using questionnaires, observations, and pre/post-tests. The results showed feasibility scores of 68.53% from media experts and 79.58% from material experts, both categorized as feasible. Reliability analysis confirmed Cronbach’s Alpha values above 0.75, while student trials indicated significant learning improvement. These findings demonstrate that the developed VR simulation is feasible and effective as a pre-practical learning tool. In conclusion, this study contributes theoretically by extending VR pedagogy to safety-oriented vocational training and provides practical implications as an innovative solution for schools with limited resources.
Serial Communication Reliability Testing in Dynalite Lighting Control with Adjustable Voltage Levels Hadikusuma, Ridwan Satrio; Triyanto, Aripin; Nuryana, Muhammad Risqi
Jurnal Edukasi Elektro Vol. 9 No. 2 (2025): Jurnal Edukasi Elektro Volume 9, No. 2, November 2025
Publisher : DPTE FT UNY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jee.v9i2.89562

Abstract

This research presents the reliability testing of serial communication in Dynalite lighting control systems with adjustable voltage levels. The study began with the design and implementation of a DALI-based topology, followed by practical installation and measurement of output voltages at different control levels (10%, 20%, 40%, 80%, and 100%). The results confirmed that the output voltage correlated proportionally with the configured percentage level, demonstrating stable driver performance in regulating lamp brightness. Furthermore, comparative testing at different baud rates, namely 9600bps and 115200bps, was conducted to evaluate communication stability. The findings revealed that 9600bps provided higher reliability and minimal error, while 115200bps offered faster response but with a higher risk of instability. These results emphasize the importance of selecting appropriate voltage and baud rate configurations to ensure both efficiency and robustness in lighting control systems.
Designing a Google Voice-Based Solar Panel Cleaner Control System Tessal, Dasrinal; Marzal, Jefri; Triantini, Dewi; Wirasapta , Andicho Haryus; Fikri , Muhammad Khalis; Saputra , Angga Riyan Trio; Mishi , Salmuna Sajjad
Jurnal Edukasi Elektro Vol. 9 No. 2 (2025): Jurnal Edukasi Elektro Volume 9, No. 2, November 2025
Publisher : DPTE FT UNY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jee.v9i2.90041

Abstract

Current solar panel maintenance often involves manual, rooftop fieldwork, which introduces significant fall-from-height risks and occupational hazards. To address this, this research investigates the integration of the Internet of Things (IoT) to streamline and enhance operational efficiency. The goal is to develop an IoT-enabled solution for user-driven routine maintenance that can significantly mitigate occupational hazards and reduce maintenance duration. This system is designed to optimize the long-term energy yield of solar panels by preventing the typical efficiency decline caused by neglected upkeep. The study employs a prototype development method (literature review, construction model design, and control system development). The final system leverages common consumer-grade terminal devices (smartphones, laptops) to provide a ubiquitous, real-time control interface, allowing users to manage the system remotely via a stable network connection.

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