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All Journal Jurnal Informatika Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) IT JOURNAL RESEARCH AND DEVELOPMENT TELKA - Telekomunikasi, Elektronika, Komputasi dan Kontrol Buletin Ilmiah Sarjana Teknik Elektro Signal and Image Processing Letters International Journal of Robotics and Control Systems Jurnal Nasional Teknik Elektro dan Teknologi Informasi Techno
Puriyanto, Riky Dwi
Ahmad Dahlan University
Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Neuroscience

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Automatic Liquid Filling in Deep Water Culture Hydroponic System Based on Water Level and TDS Meter Value Ahmad Faiz Al Hakam; Riky Dwi Puriyanto
Buletin Ilmiah Sarjana Teknik Elektro Vol. 4 No. 3 (2022): December
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/biste.v4i3.6726

Abstract

Currently, the filling of nutrient fluids for hydroponic systems is still carried out manually or conventionally. In this study, an automatic liquid filling system was made in the DWC hydroponic system based on water level and TDS Meter values. The controlling process uses an Arduino Uno microcontroller. The sensor is used to perform readings of nutrient values using a TDS sensor, for the measurement of water level distances using an ultrasonic sensor HC-SR04. The 16x2 LCD is used to display distance values and TDS values. Meanwhile, to drain nutrient fluids using a 12V pump. The results of this study the system as a whole can carry out the process of filling nutrient fluids automatically when the water level distance is >3.5 cm or the TDS value <700 PPM. Meanwhile, if the water level distance is <3.5 cm and the TDS value is >700 PPM, the pump will turn off. The result of this study was that the ultrasonic sensor HC-SR04 got an average error value of 0.12%. TDS sensors get an average error value of 6.02%.
Temperature and Lighting Control of Deep Water Culture Hydroponic System in Automatic Miniroom Space Kurniawan Dwi Yulianto; Riky Dwi Puriyanto
Buletin Ilmiah Sarjana Teknik Elektro Vol. 5 No. 1 (2023): March
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/biste.v5i1.6767

Abstract

This research will develop a temperature control system and lighting using LEDs on automatic indoor hydroponic plants. The process of monitoring air temperature, light intensity and time in real time in a miniroom using a DHT-11 sensor, BH-1750 sensor, RTC, and Arduino Uno for data processing. The results of this study indicate that the prototype made can work well. The DHT-11, BH-1750 and RTC sensors used in this study can work optimally. Temperature measurement using the DHT-11 Sensor has an Error value of 1.44% and Light Intensity Measurement using the BH-1750 Sensor has an Error value of 2.48% so that it can be used and applied to the system. This research works as expected where the system created can control the indoor temperature and lighting duration in the indoor hydroponic system.
Artificial Potential Field Path Planning Algorithm in Differential Drive Mobile Robot Platform for Dynamic Environment Maulana Muhammad Jogo Samodro; Riky Dwi Puriyanto; Wahyu Caesarendra
International Journal of Robotics and Control Systems Vol 3, No 2 (2023)
Publisher : Association for Scientific Computing Electronics and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/ijrcs.v3i2.944

Abstract

Mobile robots need path-planning abilities to achieve a collision-free trajectory. Obstacles between the robot and the goal position must be passed without crashing into them. The Artificial Potential Field (APF) algorithm is a method for robot path planning that is usually used to control the robot for avoiding obstacles in front of the robot. The APF algorithm consists of an attractive potential field and a repulsive potential field. The attractive potential fields work based on the predetermined goals that are generated to attract the robot to achieve the goal position. Apart from it, the obstacle generates a repulsive potential field to push the robot away from the obstacle. The robot's localization in producing the robot's position is generated by the differential drive kinematic equations of the mobile robot based on encoder and gyroscope data. In addition, the mapping of the robot's work environment is embedded in the robot's memory. According to the experiment's results, the mobile robot's differential drive can pass through existing obstacles. In this research, four test environments represent different obstacles in each environment. The track length is 1.5 meters. The robot's tolerance to the goal is 0.1 m, so when the robot is in the 1.41 m position, the robot's speed is 0 rpm. The safe distance between the robot and the obstacle is 0.2 m, so the robot will find a route to get away from the obstacle when the robot reaches that safe distance. The speed of the resulting robot decreases as the distance between the robot and the destination gets closer according to the differential drive kinematics equation of the mobile robot.
Temperature Measurement and Light Intensity Monitoring in Mini Greenhouses for Microgreen Plants Using the Tsukamoto Fuzzy Logic Method Dea Suryaningsih; Riky Dwi Puriyanto
Buletin Ilmiah Sarjana Teknik Elektro Vol. 5 No. 3 (2023): September
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Microgreens are tender young plants that can be harvested as seeds and are a type of vegetable that can be harvested in about 7-14 days. Microgreen growth is influenced by several factors, including ambient temperature and light intensity. Microgreen plants require temperatures between 24°C – 30°C at all times during growth. These microgreen plants were grown on cocopeat growing media and given in a special room called a mini greenhouse with a size of 60 × 50 cm. The research method used is Tsukamoto's Fuzzy Logic. This research aims to make a tool to detect the temperature in a mini greenhouse. The research method used is Tsukamoto's Fuzzy Logic. Increasing temperature stability to keep the temperature in the mini greenhouse room at the ideal temperature. In this study, the sensors used were DHT 11 and grow light lamps. The results of this study indicate that the temperature and light intensity in this mini greenhouse are very stable and are at a temperature of 24°C-30°C with the accuracy of the sensor in this tool showing an error value of 5.39%.
Co-Authors Adhi Prahara Agus Aktawan, Agus Ahmad Faiz Al Hakam Alfian Ma’arif Andrean Syah Arifin Arif Budi Setiawan Avrin Nur Widiastuti Daniya Sonny Febriyan Dea Suryaningsih Eka Widya Suseno Fadlur Rahman T. Hasan Fahmi Abdul Aziz Farhan Fadhillah Sanubari Gema Ridho Wicaksono Kurniawan Dwi Yulianto Maulana Muhammad Jogo Samodro Mila Diah Ika Putri Muhammad Faqihuddin Al Andzar Muhammad Setiawan Nur Awal Hidayanto Ricky Irawan Putra Ricky Mardana Putra Rio Dwi Listianto Siti Fatimah Anggraini Son Ali Akbar Sunardi, Sunardi Wahyu Caesarendra