cover
Contact Name
Heri Retnawati
Contact Email
jraee@uny.ac.id
Phone
+6285700081368
Journal Mail Official
jraee@uny.ac.id
Editorial Address
Kepuh, Pacarejo, Semanu, Gunungkidul, Yogyakarta 55893
Location
Kab. sleman,
Daerah istimewa yogyakarta
INDONESIA
Journal of Robotics, Automation, and Electronics Engineering
ISSN : 30254590     EISSN : 30253780     DOI : 10.21831
Core Subject : Engineering,
Focus and Scope Subject areas suitable for publication in the Journal of Robotics, Automation, and Electronics Engineering (JRAEE) covering various fields related to, 1. Robotics: - Robot design, kinematics, and dynamics - Motion planning and control of robots - Soft robotics and flexible mechanisms - Human-robot interaction and collaboration - Robot perception and computer vision - Swarm robotics and multi-robot systems - Field robotics and autonomous vehicles 2. Automation: - Industrial automation and smart manufacturing - Process control and optimization - Intelligent control systems and adaptive control - Home and building automation systems - Automation in agriculture and healthcare - Robotic automation in logistics and warehouses - Cyber-physical systems and IoT in automation 3. Electronics Engineering: - Analog and digital circuit design - Microelectronics and VLSI design - Power electronics and renewable energy systems - Sensors and actuators technology - Signal processing and communication systems - Electronic instrumentation and measurement - Wearable electronics and health monitoring devices 4. Artificial Intelligence (AI) in Robotics and Automation: - Machine learning algorithms for robotics - Reinforcement learning for autonomous systems - AI-based decision-making and planning in robotics - Computer vision and image processing in automation - Natural language processing for human-robot interaction - AI-enabled control and optimization in automation - Explainable AI in robotics and automation 5. Mechatronics: - Integration of mechanical, electronic, and control systems - Design and analysis of mechatronic systems - Mechatronic applications in industry and research - Micro- and nano-mechatronics - Intelligent sensors and actuators in mechatronics - Mechatronic control algorithms and strategies - Rapid prototyping and 3D printing in mechatronics 6. Internet of Things (IoT) Technology and Applications: - IoT architecture, protocols, and standards - IoT platforms and frameworks - Edge computing and fog computing for IoT - IoT security, privacy, and trust mechanisms - IoT in smart cities and urban infrastructure - IoT applications in healthcare and telemedicine - IoT for environmental monitoring and sustainability 7. Ethics and Social Implications of Robotics and Automation: - Ethical considerations in autonomous systems - Human-robot interaction ethics - Impact of automation on society and employment - Legal and regulatory aspects of robotics and AI - Privacy and security in robotics and automation - Social acceptance and public perception of robots - Bias and fairness in AI and robotics systems Authors conducting research and investigations within these areas are encouraged to submit their scholarly contributions to JRAEE for potential publication and dissemination of knowledge in these rapidly evolving fields.
Articles 5 Documents
Search results for , issue "Vol. 2 No. 2 (2024): September 2024" : 5 Documents clear
Design and Construction of an IoT-based Body Mass Index (BMI) Measuring Tool Using an Android Application Nabila, Shonya Farha; Nursusanto, Usman
Journal of Robotics, Automation, and Electronics Engineering Vol. 2 No. 2 (2024): September 2024
Publisher : Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jraee.v2i2.610

Abstract

Body Mass Index (BMI) is a measure of a person's fitness level monitoring obtained from a comparison between weight and height using a separate measuring instrument and requires the energy of other people in the measurement process, namely using a manual meter and scales. Therefore, a height and weight measuring instrument is needed that is integrated into a BMI measuring instrument to determine body health which is categorized into 5, namely, very thin, thin, normal, fat, and obese. The purpose of making this final project is to design the tool, find out the function test, and find out the performance test of the tool. The research stage consists of needs analysis, design, manufacture, and testing of the measuring instrument. The results of this study are that an IoT-based BMI measuring instrument using an android application was successfully created. The results of the function test show that each component is in good condition. While the results of the tool performance test are the same as the application showing that height measurements by ultrasonic sensors and weight measurements by load cell sensors from measurements of 15 people have a good error rate with an average of below 5%, namely 0.64% and 1.50% respectively against manual measurements using standard measuring instruments.
Prototype Design of Toxic Gas (CO) Monitoring Equipment in Motorcycle Workshop Al Hasan, Muhammad Hanif; Nasuha, Aris
Journal of Robotics, Automation, and Electronics Engineering Vol. 2 No. 2 (2024): September 2024
Publisher : Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jraee.v2i2.611

Abstract

Workshop is one of the places that contributes a significant amount of carbon monoxide gas, originating from motor vehicle exhaust. A workshop is also a place at high risk of fire. Due to the lack of awareness among visi- tors and workshop workers about the dangers of carbon monoxide gas and the potential for fires in motorcycle workshops, a tool is needed to monitor carbon monoxide levels and detect fire in the workshop. The aim of this final project is to design and develop a device, software, and demonstrate the per- formance of a system for monitoring carbon monoxide levels and detecting fire in a motorcycle workshop. This research uses the Research and Develop- ment (R&D) method. The results of the monitoring system created showed good outcomes. The sensor used was able to read carbon monoxide levels with an error rate of 5.56%, while the Flame sensor was able to detect fire at a maximum distance of up to 70 cm. The monitoring system functioned well, with carbon monoxide levels visualized using ThingSpeak. The DC fan also worked effectively, when carbon monoxide levels in the room reached 25 ppm or higher, the DC fan would turn on and help with air circulation.
Prototype of Voltage, Current, Temperature, and Oil Level Monitoring System in Transformers Putra, Alfonsus Bramasadewa; Nursusanto, Usman
Journal of Robotics, Automation, and Electronics Engineering Vol. 2 No. 2 (2024): September 2024
Publisher : Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jraee.v2i2.612

Abstract

A distribution transformer is the most crucial component of the electric power distribution system. The output values of parameters such as voltage, current, temperature, and oil level vary, necessitating monitoring. This final project aims to design and build, determine the functional testing of the device, and assess the performance accuracy of its components. The system design results show that the components used in the prototype system are the INA219, AHT10, and HC-SR04 sensors. The measurement results from the sensors are displayed on an Android application and stored in a logger. Functional test results indicate that all components used in the prototype monitoring system function normally, and the measurement errors are within the datasheet limits of each component. The percentage error values from the accuracy testing of the sensors show values below 5%, with the largest error being 3.2% in current measurement and the smallest error being 0.0% in distance measurement. Therefore, the sensors are in good condition, and these values are below the IEC 13B-23 standard limits.
Smart Charity Box with ESP32 and Chatbot Zuhriyah, Nur Anjumi; Rosyadi, Saadilah
Journal of Robotics, Automation, and Electronics Engineering Vol. 2 No. 2 (2024): September 2024
Publisher : Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jraee.v2i2.613

Abstract

The purpose of this project is to: (1) Create a security system tool on the door of the charity box at the Al Huda Mosque, Sirau Village, Kemranjen, Banyumas using the ESP32 microcontroller. (2) Know the function of all components used such as the ESP32 microcontroller, RFID, servo motor and ultrasonic sensor. (3) Know the performance test of Telegram to control the smart charity box project. Based on the design results, it shows that: (1) Produce a smart charity box tool using ESP32 components, ultrasonic sensors, RFID and servo motors as door drivers. The features it has can detect the remaining height of the charity box space and access the door via the RFID module or Telegram bot. (2) The results of functional tests on each component, both hardware such as ESP32, RFID, ultrasonic sensors, servo motors or software, can work well. (3) The results of the performance test show that this project can detect the remaining height of the space in the charity box and open the door by tapping the RFID card or accessing the Telegram bot.
Telemetry System Design for Monitoring Electrical Energy in Residential Homes Adiaputri, Aprilia Mayangsari; Rosyadi, Saadilah
Journal of Robotics, Automation, and Electronics Engineering Vol. 2 No. 2 (2024): September 2024
Publisher : Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jraee.v2i2.614

Abstract

This project aims to (1) create and design a telemetry system for monitoring electrical energy in residential homes, (2) determine the functional tests of each component used, and (3) determine the performance tests of the tools being made. The manufacturing and testing process for this tool was carried out at the Electrical Installation Laboratory, Vocational Faculty, Yogyakarta State University. The data analysis technique used is calculating the percentage error between the tool data created and standard measuring tool data. The results obtained are (1) an electrical energy monitoring system was produced with components in the form of an ACS712 current sensor, ZMPT101B voltage sensor, Arduino Uno, NodeMCU ESP8266, LCD 20×4, buzzer, and Blynk application. (2) The functional test results show that each component has a good accuracy value. The error percentage level from sensor testing shows a value below 5%, so the sensor accuracy is good. (3) The results of system performance testing also show quite high accuracy. The highest percentage error rate was 4.4%, namely in refrigerator current and energy-saving lamp power factor data.

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