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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. 1 No. 1 (2023): March 2023" : 5 Documents clear
Enhancing Barn Hygiene through Smart Farming: A Goat Farm Case Study in Besijangkang Using IoT Nurisma Zenita Dewi; Otniel Andi Hermawan; Abdul Mujiburrohman Luthfi; Saddam Putra Kunsina; Mentari Putri Jati
Journal of Robotics, Automation, and Electronics Engineering Vol. 1 No. 1 (2023): March 2023
Publisher : Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jraee.v1i1.63

Abstract

Besijangkang farms currently rely on conventional management methods, including manual cleaning with broomsticks and inadequate lighting. The scattered droppings and urine on the floor pose challenge for efficient farm maintenance. To address these issues, a solution combining technology and conventional cage management has been proposed to allow remote access for breeders. Researchers have implemented Internet of Things (IoT) utilizing the ESP8266 NodeMCU microcontroller connected to Firebase Web. The integration of IoT in smart farming tools has proven successful and functional. The app enables remote control of the lights through designated buttons. A critical indicator for the goat farm is the urine volume, reaching full capacity at 778 liters, which triggers the illumination of the light near the component box. Furthermore, the DC motor and conveyor effectively manage the dirt load at 09.00, fulfilling their designated functions. By adopting IoT-based smart farming tools, Besijangkang farms can improve their hygiene system, enhance management efficiency, and empower breeders with remote accessibility, revolutionizing traditional farming practices for better productivity and sustainability.
Automatic Catfish Sorter and Counter Based on Weight Classification Alif Naufal Allaudin; Aris Nasuha
Journal of Robotics, Automation, and Electronics Engineering Vol. 1 No. 1 (2023): March 2023
Publisher : Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jraee.v1i1.64

Abstract

Catfish is one of the main raw materials in the fisheries sector which also supports the Indonesian economy. However, manual sorting of catfish makes the weight of catfish not uniform when marketed. Therefore, tools and machines are needed that automatically sort catfish in large quantities, making it more effective and easier for catfish breeders to use. In this study the process of making the system was realized in 3 stages, namely needs analysis, implementation, and testing of tools. The purpose of this system is to be able to classify the weight of catfish in the large category with fish weighing > 140 grams, medium with fish weighing 80-140 grams and small with fish weighing 20-80 grams. From the system test results, the average accuracy is 99.56. % and a precision of 98.75% for load cell sensor readings, while for E18 infrared sensor readings the results are always known, but data is not always sent and displayed on the LCD screen. Classification of fish categories carried out by the system has worked well, where the system is able to sort and count correctly 14 times out of 15 tests with an accuracy of 93%. The average computing time required for this tool is 3.67 seconds for 15 tests.
Smart Aquaculture in Internet of Things-based Catfish Farming Kurniawan Budi Kusnanto; Aris Nasuha
Journal of Robotics, Automation, and Electronics Engineering Vol. 1 No. 1 (2023): March 2023
Publisher : Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jraee.v1i1.65

Abstract

The primary objective of developing the project titled "Smart Aquaculture in Internet of Things-based Catfish Farming" is to create a specialized tool for catfish farming that facilitates automated monitoring and control of water quality, eliminating the need for manual intervention at the aquaculture pond. The collected data is made accessible through a web monitoring system. The tool aims to mitigate catfish mortality risks, enhance yield, and streamline the cultivation process. The development process of this tool encompasses several stages, which are as follows: (1) Requirements Analysis, involving the identification of necessary tools and materials for the project; (2) Implementation, encompassing the design and fabrication of the tool, outlining the circuit scheme, and detailing the step-by-step manufacturing process; (3) Testing, describing the procedures and results of evaluating the tool's performance. The monitoring system employs PH- 4502C sensors, DS18B20 temperature sensor, and HC-SR04 level sensor, all controlled by ESP32 DevKit. Comparative analysis against standard measuring instruments demonstrates an average error percentage of 1.64% for pH, 0.88% for temperature, and 0.70% for water level measurements. Additionally, the data transmission test reveals a delay of 19.16 seconds, while the actuator response test, based on sensor readings, successfully operates within the system's intended parameters.
Quality Control Patient Trigger Ventilator using Negative Air Pressure Rahman Maulana Jundika; Ardy Seto Priambodo
Journal of Robotics, Automation, and Electronics Engineering Vol. 1 No. 1 (2023): March 2023
Publisher : Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jraee.v1i1.66

Abstract

This research aims to develop a quality control tool for patient trigger ventilators at PT Stechoq Robotika Indonesia. The increasing demand for ventilators has driven PT Stechoq Robotika Indonesia to create high-end ventilators. However, the production process faces challenges, particularly in the manual quality control of patient trigger alarms. Therefore, an automated quality control tool is needed to replace the manual mechanism. The research utilizes the Research and Development method. Trials are conducted on SIMV and CPAP modes with variations in pressure trigger and flow trigger parameters to evaluate the performance of patient trigger alarms on ventilators. The results of implementing the patient trigger quality control tool show an average accuracy rate of 70% for pressure and flow triggers in SIMV and CPAP modes. This tool is expected to reduce time and effort in the quality control process while improving the accuracy of triggering patient alarms on ventilators. Overall, the patient trigger ventilator quality control tool has significant potential in the ventilator industry, with positive implications for product quality and production efficiency at PT Stechoq Robotika Indonesia.
MQTT and CoAP Communication Protocol Analysis in Internet of Things System for Strawberry Hydroponic Plants Nilam Andi Safitri; Ardy Seto Priambodo
Journal of Robotics, Automation, and Electronics Engineering Vol. 1 No. 1 (2023): March 2023
Publisher : Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jraee.v1i1.69

Abstract

Strawberry is a fruit that is widely consumed and cultivated globally because of its richness in nutrients, vitamins, and minerals. However, several challenging factors that need to be faced in strawberry cultivation are temperature, humidity, lighting, etc. The author focuses on the application of IoT in container strawberries, especially in high-temperature advertisements. Where Hardware, Back End and Front End are important frameworks for developing the system. In developing a system that utilizes IoT technology optimally andefficiently, it is necessary to consider the lines of communication. Without an eligible communication, the device cannot be connected smoothly. In thisstudy the authors will focus on Back End to analyze the performance of the two protocols MQTT and CoAP. The MQTT protocol is better used for IoT-based hydroponic plant automation systems because the MQTT protocol can configure messages/packets sent. MQTT can provide efficient and reliable communications in the IoT environment. In addition, the development of the prototype of strawberry cultivation using the container aims toallow strawberry farmers to control the plants without having to be near the plants.

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