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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 170 Documents
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Implementation of Neural Networks in Daily PV Power Output Prediction Using Bayesian Regularization Algorithms to Assist Energy Management Systems Mahmudah, Norma; Delfianti, Rezi; Sigit, Firman Matiinu; Putra, Dimas Panji Eka Jala; Nusyura, Fauzan
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.v9i2.91044

Abstract

Solar power plants have several advantages, namely continuous energy production, reduced electricity demand, and low photovoltaic maintenance, so that PV power output can be optimized with reliable PV power output predictions. Implementation of Artificial Neural Network (ANN) to predict photovoltaic (PV) power output, using the Bayesian Regularization algorithm. Accurate PV power output prediction is very important in power systems. The data used are solar radiation, PV module temperature, ambient temperature, and actual PV power output, with the target being the PV power output for the next day with the PV power output output for the next day. The architecture used in this study is a Cascade Forward Neural Network (CFNN) and an Elman Neural Network (ENN). Both ANN models use daily data sets and performance evaluation using Mean Square Error (MSE). The results of the study show that ENN is more accurate than CFNN. ENN had the lowest MSE of 0.00664 at a configuration of N=8 and R of 0.9922 with a training time of 6.4 seconds, while CFNN recorded the lowest MSE of 0.024306 with N=25. ENN's ability to capture time series patterns in PV is more reliable and effective. Reliable predictions can assist in energy management systems because they help maintain supply balance, reduce the risk of failure, and improve system stability.
Immersive Technology-Based Adaptive Learning to Improve Academic Achievement and Interpersonal Skills in Electrical Engineering Education Adha, Hanif Rifai; Rahmawati, Yuni; Wibowo, Danang Arengga; Masyfa, Faiz Hilmawan
Jurnal Edukasi Elektro Vol. 10 No. 1 (2026): Jurnal Edukasi Elektro Volume 10, No. 1, May 2026
Publisher : DPTE FT UNY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jee.v10i1.88937

Abstract

The Development of digital technology creates significant opportunities to improve the learning experience in the engineering education sector. This study investigates and analyses the impact of Augmented Reality as an immersive learning technology to improve academic achievement and interpersonal skills (collaboration and communication). A quasi-experimental design was used to compare the influence of AR-based learning with conventional learning systems in two classes of 60 students. Pre-test and post-test results showed significant improvement in the experimental class, with paired t-tests showing mean differences of -31.20 (t = -20.75, p < 0.001) and -18.76 (t = -13.67, p < 0.001) for the control class. A greater improvement in collaboration and communication skills was observed in the experimental class compared to the control class. The t-test independently revealed significant differences in collaboration skills (t = 4.92, p < 0.000) and communication skills (t = 2.71, p < 0.000). AR provides a more interactive learning experience, improving teamwork and effective communication. These results demonstrate that AR has significant potential in enhancing academic capabilities and 21st-century skills in engineering education.
Design and Development of a Multi-Blade Horizontal Axis Wind Turbine as an Alternative Energy Source in Talang Solok Regency Faruqi, Fiqri Al; Modika , Yendri; Rabiula , Andre; Tessal , Dasrinal; Waladi , Akhiyar; Gusri , Lailal; Wijaya , Ali Satria; Wirasapta , Andicho Haryus; Triantini, Dewi
Jurnal Edukasi Elektro Vol. 10 No. 1 (2026): Jurnal Edukasi Elektro Volume 10, No. 1, May 2026
Publisher : DPTE FT UNY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jee.v10i1.91466

Abstract

Indonesian rural and highland areas have considerable potential for developing small-scale renewable energy, especially utilizing wind resources with low to moderate wind speeds. This research outlines the creation, design, and assessment of a six-blade horizontal axis wind turbine (HAWT) aimed at facilitating off-grid and decentralized electricity production in Talang, Solok Regency. To enhance the design methodology, a comparative design evaluation was performed by analyzing three-blade, four-blade, and six-blade rotor setups concerning starting torque traits, suitability for low wind speeds, and operational stability documented in earlier research. The six-blade design was chosen for its improved self-starting ability and dependable performance at wind speeds under 7 m/s. The created prototype features a rotor diameter of 1.5 m, a blade length of 0.75 m, a 1:5 gear ratio, and a 200 W DC generator. Performance testing took place over two months (August–September 2025) in natural wind conditions varying between 4.8 and 7.1 m/s. The turbine produced an open-circuit voltage of 2.5–4.4 V, and when under load, the peak electrical power output was 1.52 W. The determined power coefficient (Cp) varied from 0.12 to 0.18, demonstrating efficient energy conversion in low-speed wind conditions. The findings indicate that the suggested multi-blade HAWT design provides a technically viable, context-suitable, and scalable option for rural electrification, community-level renewable energy systems, and educational uses in areas with comparable wind conditions.
Developing Learning Media on Solar Power Generation to Enhance Practical Learning of Renewable Energy Competency for Undergraduate Students in The Electrical Engineering Education Study Program Ageed, Omer Sabri Elyas; Hariyanto, Didik; Zaid, Mustafa Suliman Khater
Jurnal Edukasi Elektro Vol. 10 No. 1 (2026): Jurnal Edukasi Elektro Volume 10, No. 1, May 2026
Publisher : DPTE FT UNY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jee.v10i1.91901

Abstract

The increasing demand for renewable energy expertise requires practical, competency-based education, particularly in electrical engineering programs. This study aimed to address the lack of effective learning media for solar power generation, which influences student preparedness and the overall quality of renewable energy education. Using the ADDIE model (Analysis, Design, Development, Implementation, and Evaluation), instructional media were developed to enhance students’ practical understanding of solar power generation. The study involved 29 sixth-semester undergraduate students enrolled in an electrical engineering education program. A quantitative approach was employed, utilizing pretests and posttests to measure learning outcomes, along with students’ feedback. The results indicated a strong need for improved solar power generation tools and revealed significant competency gaps among students. The developed media included concept maps, diagrams, case studies, and interactive exercises, received very high feasibility ratings: 91.67% from media experts, 89.57% from material experts, and 91.40% from users. Following implementation, students demonstrated a significant improvement in understanding (p = 0.012) with high test reliability (Cronbach’s Alpha = 0.891). These findings demonstrate that the developed instructional media provide a validated, and practical solution to strengthen renewable energy education and support workforce readiness for the global energy transition.
Design and Development of an Integrated Control System for the Pasteurization Division and Flavoring Tanks in Milk Production to Support Vocational Education and Industry University Collaboration Prahesti, Fidya Eka; Indrawati, Elsanda Merita; Suwardono, Agus; Setyawan, Dodi; Nurrohim, Muhammad Danu
Jurnal Edukasi Elektro Vol. 10 No. 1 (2026): Jurnal Edukasi Elektro Volume 10, No. 1, May 2026
Publisher : DPTE FT UNY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jee.v10i1.95781

Abstract

The dairy processing industry in Indonesia continues to grow with a consumption increase of 5–7% per year, yet more than 70% of the national milk demand is still met through imports. This situation calls for an enhancement of production capacity and human resource competencies, particularly vocational graduates who are considered to lack practical skills that meet industry needs. This study aims to design an integrated control system in the pasteurization division and flavor tank as a learning tool as well as a prototype for industry–university collaboration. The methods used include a literature review of pasteurization process standards, design of hardware and software for a sensor- and microcontroller-based control system, implementation of a laboratory prototype, and performance testing based on parameters of temperature, time, and product homogeneity. The research results indicate that the control system can maintain pasteurization temperatures in the range of 72–75°C with a deviation of ±1°C, and the flavor mixing process remains stable and homogeneous. The integration of the two divisions allows for the simulation of production processes that resemble actual industrial conditions. The resulting practicum module enhances students' understanding of process control and industrial automation concepts. Initial evaluations show a 35% improvement in students' practical skills compared to conventional methods. This prototype has the potential to become a project-based learning model relevant to the needs of the food industry.
The Integration of Photovoltaics with an IoT-Based Automatic Transfer Switch System for Telecommunication Applications Hikmatullah, Muhammad Rizky; Baqaruzi, Syamsyarief; Muhtar, Ali
Jurnal Edukasi Elektro Vol. 10 No. 1 (2026): Jurnal Edukasi Elektro Volume 10, No. 1, May 2026
Publisher : DPTE FT UNY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jee.v10i1.96342

Abstract

The stability of the power supply is very important for keeping telecommunications infrastructure running smoothly. Problems with the power supply can cause network devices to lose service quality and even stop working. This study is on the development of an Internet of Things (IoT)-enabled Automatic Transfer Switch (ATS) system that can monitor and manage electrical resources in real-time over the internet. An ESP32 microcontroller, a Wi-Fi module, a ZMPT101B AC voltage sensor, an ACS712 current sensor, a DC voltage sensor, and an ADS1115 ADC were all put together to make the system more accurate. The Nuxt framework was used to construct a web interface that shows measurement data provided to the Firebase Realtime Database. The test results show that the system can consistently transition resources between the power grid and a Solar Power Plant. The error rate for AC voltage measurements is less than 2%, and the error rate for DC voltage measurements is less than 1%. The IoT-based monitoring system also has an average connection delay of 2 to 3 seconds, which is still acceptable for monitoring power supplies in telecommunications systems. The proposed system could be used as an intelligent power management solution for small to medium-sized telecommunications networks.
Prototype of Wind Power Plant Using a Laboratory-Scale Vertical Axis Savonius Turbine Wijaya, Ali Satria; Faruqi , Fiqri Al; Zhafarina , Imas Ning; Utami, Pertiwi Nurul; Wirasapta, Andicho Haryus
Jurnal Edukasi Elektro Vol. 10 No. 1 (2026): Jurnal Edukasi Elektro Volume 10, No. 1, May 2026
Publisher : DPTE FT UNY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jee.v10i1.96718

Abstract

This study investigates the performance of a laboratory-scale vertical-axis Savonius wind turbine prototype developed based on a simple and robust mechanical design for small-scale renewable energy applications. The prototype frame was constructed using angle steel with a cross-section of 40 × 40 mm and a thickness of 1.8 mm, forming a rectangular structure with overall dimensions of 150 cm × 150 cm and a height of 50 cm. The Savonius rotor employed a solid steel shaft with a diameter of 2.5 cm and acrylic blades measuring 100 cm in height and 40 cm in width. Performance data were collected over a six-month observation period from August 2025 to January 2026 under low to moderate wind speed conditions. The measured wind speed ranged from approximately 3.5 to 6.5 m/s, resulting in power outputs between 0.77 W and 9.44 W. The calculated power coefficient (Cp) varied from 0.18 to 0.34, indicating a typical efficiency range for drag-based Savonius turbines. The results show a consistent increase in rotor speed and electrical power output with rising wind speed, while Cp values tend to stabilize at higher wind velocities, reflecting aerodynamic performance limitations inherent to Savonius turbines. These findings demonstrate that the developed prototype exhibits stable and predictable behavior, making it suitable for laboratory experimentation, educational purposes, and preliminary assessment of small-scale wind energy systems operating in low wind speed environments.
Simulation-Based Optimization of Indoor Lighting Systems for Simultaneous Illuminance Compliance and Energy Efficiency in a Higher Education Digital Library Alex Sandria Jaya Wardhana; Andri Tri Nugroho; Edy Supriyadi; Sukir
Jurnal Edukasi Elektro Vol. 10 No. 1 (2026): Jurnal Edukasi Elektro Volume 10, No. 1, May 2026
Publisher : DPTE FT UNY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jee.v10i1.96765

Abstract

Indoor lighting systems must satisfy illuminance standards while maintaining energy efficiency; however, achieving this balance remains challenging in practice. This study evaluates and optimizes lighting performance in a higher education digital library based on SNI 6197:2020. A quantitative framework integrating analytical modeling and DIALux evo simulation is developed. The problem is formulated as a constrained optimization to minimize illuminance deviation under lighting power density (LPD) limits, using field measurements for validation. Initial results show that only 48.3% of rooms meet illuminance standards, while 93.1% operate below allowable LPD limits. Severe under-illumination is observed in critical spaces, with deviations up to −60.3%, despite low LPD values (2.15 - 2.95 W/m²), while some rooms exhibit over-illumination. Statistical analysis indicates a weak and non-significant relationship between LPD and illuminance (Pearson r = 0.239, p = 0.212, R² = 0.057), with a moderate monotonic trend (Spearman ρ = 0.459), confirming that installed power is not a reliable predictor of performance. These findings reveal that increasing installed power does not guarantee compliance. After optimization, all rooms achieve 100% compliance with an average illuminance improvement of 82.5%. These results demonstrate that lighting performance is primarily governed by spatial distribution rather than installed power.
Development of an ESP32-Based Internet of Things Trainer for Sensor and Transducer Learning in Electrical Engineering Education Yudisurya, Alfian; Asnawi, Rustam; Hertanto, Deny Budi
Jurnal Edukasi Elektro Vol. 10 No. 1 (2026): Jurnal Edukasi Elektro Volume 10, No. 1, May 2026
Publisher : DPTE FT UNY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jee.v10i1.96831

Abstract

Low student motivation and the absence of integrated IoT-based learning media in the Sensor and Transducer Practicum course represent a critical gap that limits students' ability to connect theoretical concepts with industrial practice. This study aimed to realize an ESP32-based IoT Trainer, evaluate its technical performance, and assess its feasibility as a learning medium. The Research and Development method with the ADDIE model was employed. The developed product consists of an integrated trainer unit with nine sensors, a learning module, and jobsheet. Testing involved two content experts, two media experts, and 30 students using a 5-point Likert scale instrument. All trainer components functioned stably across all test conditions. Validation results showed 92.5% feasibility from content experts, 93.75% from media experts, and 90.5% from users, with an overall average of 92.25%, all categorized as "Very Feasible." These findings indicate that the trainer effectively enhances students' hands-on engagement with IoT-integrated sensor systems, bridging the gap between classroom theory and real-world industrial competencies.
Bridging Control System Education and Industrial Practice through a Real-Time Control System Architecture Arthagiga, Nuzul Aurora; Mustaqim, Ilmawan; Wardhana , Alex Sandria Jaya
Jurnal Edukasi Elektro Vol. 10 No. 1 (2026): Jurnal Edukasi Elektro Volume 10, No. 1, May 2026
Publisher : DPTE FT UNY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jee.v10i1.96888

Abstract

The limited accessibility, high cost, and low scalability of industrial control platforms constrain hands-on learning in automation education. This study presents a real-time control system architecture that bridges instructional requirements with industrial control principles through deterministic execution and structured logic representation. The system integrates ladder-based programming with cyclic scan execution and direct I/O mapping to ensure consistent real-time operation. A design and development methodology based on the adopted-ADDIE framework was employed to guide system realization and validation. The system was evaluated through expert-based assessment using a four-point Likert scale, followed by feasibility, content validity, and reliability analyses. Results indicate high technical feasibility, with technical quality reaching 83.04% and display quality 84.38% (very feasible), while instructional aspects range from 75.00% to 79.55% (feasible). Content validity achieved Aiken’s V values of 0.852 (very high) and 0.716 (high), with reliable expert agreement (Sig. > 0.05). These findings validate the proposed architecture as a scalable and reliable control system platform for automation learning.

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