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Purno Tri Aji
Universitas Negeri Yogyakarta
Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mathematics Medicine & Pharmacology Nursing Physics Public Health Social Sciences Veterinary Other

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Journal : journal of robotics automation and electronics engineering

 1 
Hardware Realization of Long Range (LoRa) Based Telemetry System for Aquaculture Monitoring Bagas Prasetyo; Purno Tri Aji
Journal of Robotics, Automation, and Electronics Engineering Vol. 1 No. 2 (2023): September 2023
Publisher : Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jraee.v1i2.167

Abstract

Freshwater fish farming must pay attention to the condition of the water content in the pond and the water quality in the pond. Fish will feel comfortable if the efficiency of oxygen levels and pond water content is maintained. Freshwater fish farming needs to optimize crop yields so as not to get losses. The problem that is often encountered is that many fish die in the pond due to lack of water. Irrigation channels leading to fishponds experience blockages. The smoothness of the irrigation channel affects the volume of water in the pond. Blockage of irrigation channels is usually due to garbage trapped in irrigation, causing dirty water to settle and water sequestration to occur in the pond. This tool system aims to improve water quality and increase the efficiency of oxygen levels by using TDS and ultrasonic sensors. The parameter value on the sensor affects the work of the tool actuator. The tool actuator is a water pump that is used as a substitute for irrigation channels and an aerator motor to increase dissolved oxygen in water by moving the propeller on the surface of the pond water. Wireless technology is used for data communication. Because the land of freshwater fish farming ponds is a large area and is far from settlements, wireless communication is suitable for enabling easy and fast access to information and services. In this research, the testing methods used are functional testing and system performance testing. Functional testing is used to prove whether the system that has been implemented can meet the requirements of operational functions as planned. System performance testing is intended to monitor several parameters that can show the ability and reliability of the system in carrying out its operational functions. The result of the overall test is the LoRa communication distance that can communicate up to about 1000 meters, proving that LoRa technology has a strong enough ability in terms of range wireless communication. The PLE (Path Loss Exponent) of the LoRa module with 100 meters in LoS (indoor) conditions is 7.77, while in nLoS conditions in obstructed in-building, it is 10.13. The average error of the ultrasonic sensor type JSN SR-04T is 0.16% and has a difference of ± 1 cm. The TDS sensor with dissolved pool water content has an average value of 142.6 ppm with an error value of 1.05%. The PDAM water content has an average value of 112.1 ppm with a sensor value of 1.38%. The water content of the lime and detergent mixture has the highest observed ppm value, which is an average of 737.33 ppm, with a sensor error of 0.14%. The water pump activates when the pool water is low (when the ultrasonic distance reaches 60 cm), and the aerator activates when the water content is contaminated (when the TDS sensor value exceeds 500 ppm).
Design of an Intelligent Cooling System for the E-Inobus Battery Box Prasetyo Adi Nugroho; Purno Tri Aji
Journal of Robotics, Automation, and Electronics Engineering Vol. 1 No. 2 (2023): September 2023
Publisher : Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jraee.v1i2.169

Abstract

The battery Pack is an important component used as a source of electrical energy in E-Inobus. Therefore, an effective cooling system is required to ensure optimal conditions. So, to maintain the performance and safety of the battery pack, a system that can control the air in the battery box is needed. The purpose of this final project is to design a tool known as functional and performance testing. This research uses the R&D method that refers to the ADDIE model. The object of this research is the optimization of the cooling system in the battery box. Data collection and testing of this tool are carried out functionally, and the performance of the tool is tested. Testing the performance of the tool. The result of this research is to successfully make a cooling system optimization tool that is made using a reconditioned box and cooling system optimization tool made using a reconditioned box and Wemos Mega 2560 as a microcontroller, with testing and functional testing on DHT22 has an average difference of 0.65°C. Average difference of 0.65 ° C on the DHT22 sensor (1) and 0.32 ° C on the DHT sensor (2), then the performance test of the device. DHT sensor (2) then tests the performance when working optimally at a fan speed of 6000 Rpm with a temperature of 25 ° C, and getting optimal results can reduce the temperature by 5 ° C.
Enhance the Balance of Quadruped Robot using CMPS12 Nasrulloh Azhar; Purno Tri Aji
Journal of Robotics, Automation, and Electronics Engineering Vol. 1 No. 2 (2023): September 2023
Publisher : Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jraee.v1i2.170

Abstract

Quadruped is a robot that can move stably and flexibly on various types of surfaces. However, when quadruped encounters an uneven surface, it needs a good navigation system to get through it. The analysis of increasing the performance of the quadruped robot is based on the addition of the CMPS12 sensor for navigation. The CMPS12 sensor is used to measure the direction of the robot's orientation. Tests were carried out on four types of obstacles, namely broken road obstacles, sloping road obstacles, rocky road obstacles, and muddy road obstacles. The results of testing the robot on broken road obstacles obtained a maximum slope for the pitch axis of 13◦ forward, −21◦ to the rear and for the roll axis at a slope of 24◦ to the left and −19◦ to the right. On inclined road obstacles, the robot can pass through obstacles with an average travel time of 8.07 seconds with a maximum slope of 25◦ on the pitch axis. Then, on the rocky road obstacle, the robot can pass the obstacle with an average travel time of 8.13 seconds, with a maximum slope of 9◦ on the pitch axis and 8◦ on the roll axis. Then, on a muddy road obstacle, the robot can pass the obstacle with an average travel time of 11.67 seconds, with a maximum slope of 15◦ on the pitch axis and −6◦ on the roll axis.
Design and Construction of a Prototype Temperature and Humidity Control System Using The Fuzzy Tsukamoto Methode to Optimize Aeroponic Pak Choi Plant Growth Fitria Alysa Yasmin; Purno Tri Aji
Journal of Robotics, Automation, and Electronics Engineering Vol. 3 No. 1 (2025): March 2025
Publisher : Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jraee.v3i1.653

Abstract

Aeroponics is a method of hydroponic cultivation where plant roots are suspended in the air and nutrients are supplied through misting. The temperature and humidity control system, along with the monitoring mechanism, was designed using an ESP32 microcontroller. Input was provided by DHT22 and HC-SR04 sensors, while actuators consisted of mini fans and pumps. Through the integration of an Internet of Things (IoT) system, data on temperature, humidity, and water levels in the nutrient solution were monitored via the Blynk IoT application on smartphones. The results indicated that the DHT22 sensor measured temperatures within the range of 25°C to 26°C, with an average error of 0.79, and humidity levels above 70%, with an average error of 0.34.The data were processed using the Tsukamoto fuzzy method to determine the pump operating time and the PWM value for the mini fan. The HC-SR04 sensor recorded water levels between 10.1 cm and 11.5 cm, with an average error of 0.46, which was displayed using red and green LED indicators. Monitoring via the Blynk IoT application successfully presented both data and graphs of sensor readings. The entire system functioned as designed, effectively maintaining the temperature and humidity in the aeroponic pak choi plant watering container.
Non-Invasive Device for Cholesterol, Uric Acid, and Glucose Monitoring: Implementation of Moving Average Filter Muhammad Falah Ar-Rasid; Purno Tri Aji
Journal of Robotics, Automation, and Electronics Engineering Vol. 3 No. 1 (2025): March 2025
Publisher : Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jraee.v3i1.1012

Abstract

Early detection is crucial in preventing diseases caused by high blood glucose, cholesterol, and uric acid levels through routine examinations. However, current testing devices are invasive, uncomfortable, complex, and generate medical waste. Therefore, this study aimed to develop and design a non-invasive measurement tool for these three parameters using the MAX30102 sensor. This research applied the Research and Development (R&D) method using the ADDIE model, adapted to the laboratory testing stage. The infrared values measured by the MAX30102 sensor on the fingertip were converted into mg/dL for blood glucose, cholesterol, and uric acid using a linear regression method to form regression equations. The converted data were then compared with standard devices to assess their accuracy. Additionally, a moving average filter was applied to reduce noise, smooth the signal, and balance the response to data changes. The measurement results were displayed on an OLED screen, a smartphone application for monitoring history and providing health information, and a speaker announcing the result categories. The results of the study showed that the cholesterol measurement accuracy was 89.71%, with an error rate of 10.29%, the uric acid accuracy was 92.98%, with an error rate of 7.02%, and the blood glucose accuracy was 92.64%, with an error rate of 7.36%.
Co-Authors Ahmad Nugroho Jati Ahmad Taufiq Musaddid Aris Nasuha Arya Sony Bagas Prasetyo Cipto Sabdo Prabowo Dessy Irmawati Fitria Alysa Yasmin Hendarto, Taufik Luthfi Ramadani Masduki Zakarijah Moh Alif Hidayat Sofyan Muhammad Falah Ar-Rasid Nasrulloh Azhar Prasetyo Adi Nugroho Rizky Hidayat Prasetyo Septian Rahman Hakim Soenarto Soenarto Taufik Hendarto