cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
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
Published by Universitas Negeri Yogyakarta
ISSN : 30254590     EISSN : 30253780     DOI : 10.21831
Core Subject : Engineering,
Electrical & Electronics Engineering 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.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 20 Documents
 1   2 
Implementation of Kalman Filter With Pi-Controller for Temperature Sensor in Fish Pond Monitoring System Wardah Alfalah; Varlenda Sarma Quraini; Nabilah Qurrotuayun
Journal of Robotics, Automation, and Electronics Engineering Vol. 2 No. 1 (2024): March 2024
Publisher : Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jraee.v2i1.552

Abstract

The research aims to determine monitoring the temperature in fish ponds is crucial for successful cultivation, especially in tropical climates that often experience hot weather. This study proposes an approach using the Kalman Filter method and PI (Proportional-Integral-Derivative). Aside from that, to controller to improve the accuracy of monitoring the temperature in fish ponds. Integration with the Firebase Realtime Database allows for real-time data monitoring. Testing was conducted by comparing the DS18B20 temperature sensor without a filter with three variations of the Kalman Filter and PI controller. The results show that using Kalman Filter 3 with the PI controller resulted in a significant reduction in error and noise compared to using Kalman Filter alone. In conclusion, the integration of the Kalman Filter and PI controller with the Firebase Realtime Database can improve the accuracy of monitoring the temperature in fish ponds and has positive implications for increasing efficiency and fish welfare.
Adaptive Bounding Box Coordinate Adjustment on License Plate Character Detection Using Machine Learning Ahmad Taufiq Musaddid
Journal of Robotics, Automation, and Electronics Engineering Vol. 2 No. 1 (2024): March 2024
Publisher : Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jraee.v2i1.553

Abstract

Effective law enforcement, including the use of the ANPR (Automatic Number Plate Recognition) system, is essential for reducing the number of road traffic accidents. ANPR involves plate localization, character segmentation, and recognition to build a minimum system. This study aims to improve a character segmentation method using a detection approach to address issues like noisy or modified plates. We propose an adaptive improvement on an established sliding window technique, by integrating a CNN (Convolutional Neural Network) for bounding box coordinate adjustment to handle various plate conditions. The proposed method was tested on 280 license plate images and improved the average IoU (Intersection over Union) from 0.4811 to 0.8980. Hence, the recall and precision of the model could be improved to increase any character recognition performance.
Design and Implementation of a Student Counting and Monitoring System in a Laboratory Using Human Tracking Method with OpenCV and TensorFlow Nancy Febriani Taek; Arya Sony
Journal of Robotics, Automation, and Electronics Engineering Vol. 2 No. 1 (2024): March 2024
Publisher : Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jraee.v2i1.554

Abstract

Laboratories serve as crucial facilities supporting practical activities, with a recommended maximum of 20 students, necessitating periodic monitoring to count the dynamic number of students within. The system utilizes the COCO dataset labeled ”person,” involving an approach with entry and exit preference lines, ID identification implementation, and object detection models YOLO v3 Tiny and Faster R-CNN ResNet50. The main system components, Raspberry Pi 3 Model B+, Raspberry Pi Camera 5 MP (f/1.3), and Raspberry Pi 7-inch Touch Display, are integrated for processing, real-time video recording, and image display functions. Test and evaluation results reveal that YOLO v3 Tiny achieves an 88.24% accuracy for entry counting and 75% for entry-exit counting, with an average processing rate of 4.89 FPS, while Faster R-CNN ResNet50 demonstrates lower accuracy, reaching 70.59% and 45.83%, with an average processing rate of 0.58 FPS.
Rotman Lens Size Reduction by Using Same-Size Double Rectangular Defected Ground Structures (DGSs) Method or Same-Size Double Rectangular Slots Method Rizky Hidayat Prasetyo; Eko Tjipto Rahardjo
Journal of Robotics, Automation, and Electronics Engineering Vol. 2 No. 1 (2024): March 2024
Publisher : Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jraee.v2i1.555

Abstract

The need for dedicated communication keeps increasing. A technique to realize that is by using multibeam radiation. A Beamforming Network (BFN) is required to enable multibeam capability in array antennas. This study uses the Rotman Lens as BFN in the frequency of S-Band. The common problem with using Rotman Lens is that its conventional design size is quite large, mainly due to its transition leg ports. Transition leg ports are important to ensure the matching impedance between the lens and the array antenna ports the lens and the beam ports or the lens and the dummy port. The goal of this study is to reduce the size of Rotman lens transition legs by implementing simple and uniform size of slots or Defected Ground Structures (DGSs) methods for the ports of the Rotman Lens BFN. The method can minimize the length of the transition leg and allow the BFN to operate efficiently. The results revealed that the use of the same double-rectangular DGS technique and the same double-rectangular slots in ports can reduce the size of the Rotman lens. Compared to the conventional methods, the proposed method can reduce the size to almost 85 percent from its original size for this S-Band implementation. The other performances of the BFN, besides the size reduction, are not degraded by implementing the proposed methods.
DVFS and Timing Optimization on GPU for Data Center Computation Faris Yusuf Baktiar
Journal of Robotics, Automation, and Electronics Engineering Vol. 2 No. 1 (2024): March 2024
Publisher : Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jraee.v2i1.556

Abstract

Data center computing requires efficient GPU support, both in terms of functionality and power consumption. GPU performance efficiency can be reduced due to high power usage and reduced GPU work stability. So it requires an analysis of computational performance and power efficiency to improve performance and reduce power usage. Core voltage, core frequency, and memory timings are parameters that affect the efficiency of computing performance, power efficiency, and stability. Increasing computational efficiency and GPU power with the effect of modifying parameters can be done through the Basic Input-Output System (BIOS). This study analyzes the efficiency of computational performance by optimizing memory timings and analyzing power efficiency and stability by modifying the DVFS algorithm. Tests are carried out using computational benchmarks commonly used in data centers including the tessellation algorithm, rendering, image processing, pi calculation, image stitching, deep learning, molecular simulation, and N-body. The efficiency of computing performance and GPU power efficiency can be increased by optimizing memory timings and changing the voltage and frequency values on DVFS. Increased performance efficiency ranged from 33.3% to 66.7% and power efficiency increased from 19.9% to 32.6%. Modification of the DVFS voltage state can increase voltage stability and GPU core frequency stability.
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.

Page 2 of 2 | Total Record : 20

 1   2 

Filter by Year

2023 2024


Reset
Filter By Issues
All Issue Vol. 2 No. 2 (2024): September 2024 Vol. 2 No. 1 (2024): March 2024 Vol. 1 No. 2 (2023): September 2023 Vol. 1 No. 1 (2023): March 2023