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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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IoT-based Pregnant Mother Contraction Monitoring System Design Romadhoni, Sahrul; Sulistiyowati, Indah; Rizqiyah, Mar'ati Amalia
Jurnal Edukasi Elektro Vol. 8 No. 1 (2024): Jurnal Edukasi Elektro, Volume 8, No. 1, Mei 2024
Publisher : DPTE FT UNY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jee.v8i1.66465

Abstract

Pregnancy is an important stage in a woman's life that requires special monitoring and care to ensure the well-being of both mother and fetus. The presence of uterine contractions is an im-portant indicator of imminent labour, and prompt monitoring is essential to spot difficulties and ensure a safe delivery. This study aims to track contractions in pregnant women to improve pre-natal and labour care. Real-time monitoring, recording and analysis of uterine contractions. This research is a type of R&D research with the ADDIE model (Analysis, Design, Development, Implementation, and Evaluation. The result of this tool is that it can precisely track contraction activity and send information to the IoT network. Through an easy-to-use mobile app, this in-formation can be accessed by medical staff caring for pregnant women and pregnant women themselves. To provide continuous monitoring, provide early notification of alarming changes, and facilitate rapid medical response, this monitoring system utilizes IoT technology. This can ease the burden on medical institutions, lower the possibility of difficulties during labour, and provide a sense of security for pregnant women. As an innovative and effective tool, the Inter-net of Things-based Maternal Contraction Monitoring System is anticipated to improve prenatal and delivery healthcare, reduce maternal and infant mortality, and monitor contractions in preg-nant women. The healthcare of pregnant women around the world could be significantly im-proved with the successful implementation of this approach.
Development of Teaching Factory Learning Model in Industrial Automation in Vocational High Schools Hatmojo, Yuwono Indro; Ikhsannudin, Wahyu
Jurnal Edukasi Elektro Vol. 8 No. 1 (2024): Jurnal Edukasi Elektro, Volume 8, No. 1, Mei 2024
Publisher : DPTE FT UNY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jee.v8i1.68772

Abstract

Vocational High Schools, as schools that aim to prepare students for work in a particular field, need effectiveness in the learning process. Its effectiveness must follow the real conditions required by the industry. With the rapid devel-opment of industry, industry-based learning, often called "Teaching Factory," is one of the right role models of learning. The type of research to be carried out is development research. The purpose of this study is to determine (1) the devel-opment of the teaching factory learning model, (2) the application of the teach-ing factory learning model, (3) user response to the product, and (4) the effec-tiveness of using the developed product. The development model used in this study is the Plomp development model. The Plomp development model includes (1) the initial investigation phase, (2) the design phase, (3) the realiza-tion/construction phase, (4) the testing, evaluation, and revision phase, and (5) the field test/implementation phase. Validity by model experts about the teach-ing factory learning model gets an average score of 95.45 and is included in the very decent category. The material expert gave it a score of 93.41, and it be-longs to the very decent category. The media expert gave it a score of 95.84, which belongs to the decent category. The effectiveness test result shows a sig-nificant difference between the learning outcomes in the Industrial Automation Engineering Expertise Concentration subjects before and after applying the Teaching Factory learning model. This shows the positive influence and effectiveness of using the Teaching Factory learning model on the learning out-comes of the Industrial Automation Engineering Expertise Concentration in In-dustrial Automation Engineering Vocational School students.
Design of Thermoelectric-Based Salinity and Temperature Control for Nomei Fish Prasetia, Abdul Muis; Sartika, Linda; Setiyawan, Muhammad Dicky; Salim, Gazali
Jurnal Edukasi Elektro Vol. 8 No. 1 (2024): Jurnal Edukasi Elektro, Volume 8, No. 1, Mei 2024
Publisher : DPTE FT UNY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jee.v8i1.66408

Abstract

Nomei fish (Harpodon nehereus) are creatures commonly found under layers of mud or fine sand along the coast. They cannot survive in waters with extreme salinity and temperature. When daylight comes and the air temperature rises, the temperature inside the fishpond also tends to rise, while when night falls, the water in the pond becomes colder. Extreme temperature changes, both high and low, can make these fish susceptible to disease and impact their ability to feed and immune system. This research is developmental research as the objective is to test the control of salinity and temperature in Nomei fishponds. To achieve this goal, a system has been developed. The system uses two sensors, namely a conductivity sensor that serves to measure the level of water salinity and sends data to the Arduino device to set the pump based on an average of about 17 ppm. In addition, there is also a temperature sensor that measures the water temperature in the pool and sends data to the Arduino device to adjust the heater and thermoelectric based on the average temperature between 28.5°C and 31.5°C, to maintain stable water quality. The results of this study show that the developed system successfully maintains and controls the salinity and temperature in the Nomei fishpond in accordance with the predetermined set points.
Development of a Project Based Arduino Uno R3- Assisted Robotic Training Design Prasetyo, Zidan; Darmawan, Ilham Akbar; Desmira, Desmira
Jurnal Edukasi Elektro Vol. 8 No. 1 (2024): Jurnal Edukasi Elektro, Volume 8, No. 1, Mei 2024
Publisher : DPTE FT UNY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jee.v8i1.70932

Abstract

This type of research and development aims to create designs and products for robotics training, as well as robotic training design feasibility through expert validation and eval-uation by respondents. Based on a survey of 49 people surveyed, 28.3% said they did not master the microcontroller material, 10.8% said they had learned it very well, and 17.4% said they didn't know. This suggests that a lower level of competence compared to the SKKNI makes robotics training necessary. A self-training model is used for this training. The study uses a branch version of the ADDIE development model, which is carried out in five stages: 1. analysis, 2. design, 3. development, 4. implementation, and 5. evaluation. This media produces starter kits and video learning, The ADDIE method is a research method that runs from the stage of analysis to its evaluation, the analysis researchers must know the gap of competence from students to industry, search for in-tuitive needs, make the need and the gap into the design of training until the last evalua-tion process, this is finally the reason why Addie is used in this research. Students of SMKN 1 Cilegon and students of Professional Education Electrical Engineering Universi-tas Sultan Ageng Tirtayasa were used in this research. The analytical techniques used are qualitative and quantitative descriptive analysis. Evaluation results from starter kits, learning videos, and learning materials are used to determine the level of eligibility for robotic training designs. The results of the starter kit evaluation showed that the media starter kit was in the category "Very Fit" with an average score of 40.7 with a range x>33. In the respondent assessment, it was known that the average rating of the nine-teen respondents was 60.3 with the range x >51, suggesting that the Arduino Uno R3 project-based robotic training design containing a starter kit, video learning modules, and learning materials belonged to the category of "Very Feasible." In other words, this robotics training deserves to be done.
Optimization of Hybrid Power Plant System to Increase Reliability by Maximizing Renewable Energy (Case Study: Semau Island) Utami, Ananda Rizky; Mulyana, Iwa Garniwa
Jurnal Edukasi Elektro Vol. 8 No. 2 (2024): Jurnal Edukasi Elektro Volume 8, No. 2, November 2024
Publisher : DPTE FT UNY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jee.v8i2.70933

Abstract

Semau Island is one of the islands in the 3T region. Semau Island's electricity system is supplied by 5 diesel engines, Solar Power Plant, and battery storage, with a renewable energy mix that reaches 13%. This is not in accordance with the target renewable energy mix in Indonesia in 2025 which is 23%. The generation operation pattern applied on Semau Island experiences blackouts due to intermittent conditions when the Solar Power Plant fully supplies the load during the day and the battery is unable to back up. So, to mitigate the intermittency nature of the Solar Power Plant while still increasing the penetration of renewable energy, it is necessary to optimize the integrated generation operation pattern between the Solar Power Plant, the diesel engine and the battery storage. In this research, optimization is carried out using HOMER software. The HOMER application uses a derivative-free algorithm in the HOMER Optimizer feature to find the cheapest system. The optimization results in the existing scenario found that the use of 2 diesel engines, namely DG Mdec, DG Adec in base load operations and a combination of PV and batteries can optimize the operating pattern with NPC costs of $9762426, O&M costs of $583589 and LCOE value of $0.1999/kWh.
IoT-based Epever Tracer 1210 MPPT Monitoring System Using Modbus Communication Protocol Rohman, Rizky Habibur; Sulistiyowati, Indah; Anshory, Izza; Saputra, Dwi Hadidjaja Rasjid
Jurnal Edukasi Elektro Vol. 8 No. 2 (2024): Jurnal Edukasi Elektro Volume 8, No. 2, November 2024
Publisher : DPTE FT UNY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jee.v8i2.78488

Abstract

This research examines the integration of Maximum Power Point Tracking (MPPT) technology with Internet of Things (IoT) and Modbus communication protocols in solar energy systems, with the main objective of increasing efficiency and enabling real-time performance monitoring. The research method used is experimental. The Epever Tracer 1210 MPPT is used to optimize energy absorption from solar panels, while IoT devices are connected via ESP32 using Modbus protocol. Data such as current, voltage, power, and energy generated are collected and analyzed in real-time using the Blynk app. Tests were conducted at three time periods (morning, afternoon, evening) to measure the accuracy and consistency of the data, and the results show that the IoT-based monitoring system provides accurate data, with minimal difference between the data from the MPPT, measuring instruments, and Blynk application. In addition, the integration of Modbus RTU with the IoT platform improves communication efficiency and security. IoT-connected MPPT technology has proven effective in improving operational efficiency and power conversion in solar energy systems, enabling optimal energy absorption in various weather conditions, thereby maximizing energy production. IoT integration also strengthens the real-time remote monitoring system, which is essential for early detection of faults or performance degradation.
Performance of Chatbot Assistant for Stroke Patients Through Quality of Service Metrics Arasaf, Azwar Rangga; Loniza, Erika; Safitri, Meilia
Jurnal Edukasi Elektro Vol. 8 No. 2 (2024): Jurnal Edukasi Elektro Volume 8, No. 2, November 2024
Publisher : DPTE FT UNY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jee.v8i2.72009

Abstract

Strokes can impede functioning by disrupting blood circulation, leading to functional deficits that may make communication difficult for stroke survivors. Communication issues can significantly lower the quality of life for stroke patients, who often depend on family and caregivers, who may struggle to understand their needs. A stroke patient communication tool using a chatbot assistant system is needed. This system enables patients and caregivers to communicate remotely without disrupting the caregiver's work. This study aims to assess the effectiveness of communication aid devices for stroke patients when integrated with a chatbot assistant system. It also aims to evaluate network performance through Quality-of-Service testing to ensure optimal connectivity for caregivers. The Quality of Service approach assesses the internet network's quality with the support of the Wireshark application. The average outcome for the delay parameter is 163.243 ms, with a 0% result for the packet loss parameter and a throughput value of 16.236 Kbps. Based on these findings, it achieves a score of 3 in one category and excels in delay and throughput. Concerning packet loss, it scores a four and is considered excellent in this area. Based on the findings related to delay, packet loss, and throughput, an average index of 3.33 has been calculated, indicating a positive outcome for Quality of Service evaluation.
Implementation of Variable Speed Drive as Starting Control of Three Phase Induction Motor Prasetia, Abdul Muis; Sartika, LInda; Sanjaya, Dhani; Samanta, Rizal
Jurnal Edukasi Elektro Vol. 8 No. 2 (2024): Jurnal Edukasi Elektro Volume 8, No. 2, November 2024
Publisher : DPTE FT UNY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jee.v8i2.78636

Abstract

The three-phase induction motor is a prevalent electrical machine utilized across various industrial applications. Notably, the surge current of the induction motor can range from five to seven times the nominal current. This research aims to address this issue by identifying an appropriate three-phase induction motor. One effective method for operating three-phase induction motors is through the implementation of a Variable Speed Drive (VSD). This study develops an induction motor starting system utilizing VSD technology to mitigate the surge current associated with three-phase induction motors. Frequency and duty cycle variations were tested to evaluate their impact. Adjusting the frequency from 25 to 75 Hz at a VSD output voltage of 220 V resulted in a current reduction of 0.74 A. Conversely, modifying the duty cycle from 10% to 100% at a frequency of 50 Hz led to an increase in current of 1.136 A.
The Unit Auxiliary Transformer Analysis By Dissolve Gas Analysis and Breakdown Voltage Test Ali, Muhamad; Fahreza, Firdha Khriska
Jurnal Edukasi Elektro Vol. 8 No. 2 (2024): Jurnal Edukasi Elektro Volume 8, No. 2, November 2024
Publisher : DPTE FT UNY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jee.v8i2.72759

Abstract

The unit auxiliary transformer (UAT) is critical equipment at the Adipala steam power plant. Failure of this device can cause severe disruption to the generator, which can impact the Java-Bali electric power system. For this reason, the auxiliary transformer needs to be adequately maintained to ensure the equipment is in good condition. This article will discuss predictive maintenance efforts on UAT, including various inspections and tests on transformer oil to ensure the equipment can work properly. The research method includes carrying out various tests on the condition of transformer oil. The testing process involves taking samples of transformer oil, measuring the dissolved gas content, and testing the breakdown voltage in the laboratory. Data analysis using descriptive statistics referring to IEEE C57.104-2019 and IEC 60422-2013 standards. The test results showed that the oil condition increased the amount of dissolved gas beyond the permitted limit. Therefore, it is necessary to monitor oil conditions and temperature to ensure the UAT can work correctly.
Perception of Electrical Engineering Students in Aceh towards the Application of Artificial Intelligence in the Digital Era Sadrina, Sadrina; Mustapha, Ramlee; Fathurrahman, Fathurrahman; Putri, Gina Saria
Jurnal Edukasi Elektro Vol. 8 No. 2 (2024): Jurnal Edukasi Elektro Volume 8, No. 2, November 2024
Publisher : DPTE FT UNY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jee.v8i2.78448

Abstract

The goal of artificial intelligence is to build robots that can learn, reason, and adapt to carry out complicated tasks. The research aims to provide essential guidance to enhance students' knowledge related to artificial intelligence devices. The highlights of the need for Indonesian engineering students to align their competencies with the 4.0 industrial revolution by developing knowledge in adopting artificial intelligence to improve Indonesia's technological standing in fields such as power electronics. The respondent of the study involved 125 electrical engineering students in Aceh. The questionnaire is the chosen instrument aimed at obtaining perceptions from electrical engineering students regarding their knowledge of artificial intelligence devices. The research revealed that electrical engineering students in Aceh struggle with understanding artificial intelligence applications due to limited exposure, a lack of expert guidance, unfamiliarity with programming elements, and insufficient explanation of AI concepts in their curriculum.

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