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Internet of things-based rice field irrigation evaporation monitoring system Aisyah, Putri Yeni; Widya Pratama, I Putu Eka; Rahmadhana, Furqan; Al Ghifari, Muhammad Ghozi
Bulletin of Electrical Engineering and Informatics Vol 13, No 4: August 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v13i4.5803

Abstract

The urgency for efficient irrigation in Indonesia’s agriculture sector, particularly in paddy fields, is evident. However, existing methods for monitoring water levels are antiquated, often requiring manual measurements with a ruler. This research introduces a comprehensive “monitoring system for light intensity and water temperature as an analysis of evaporation for rice irrigation based on the internet of things”. The system integrates various sensors an anemometer for wind speed, an ultrasonic sensor for water level, a DS18B20 waterproof sensor for water temperature, and a GY-8511 sensor for sunlight intensity. All data are collected by an Arduino Mega controller, connected to an ESP32 for transmitting the readings to the Blynk app and an I2C 20×4 liquid crystal display (LCD) screen. The control mechanism employs a closed-loop system with a direct current (DC) motor actuator to operate the water gate, which can also be manually controlled via a cellphone. The system effectively meets daily evapotranspiration requirements of 1.44 mm, with optimal conditions yielding water levels of 3 cm, water temperatures of 38.53 °C, sunlight intensity of 4.59 mW/cm², and wind speed of 0.21 m/s.
Automated lighting design in the classroom Widya Pratama, I Putu Eka; Soehartanto, Totok; Ari Wibowo, Daniel Dany; Tjandra, Nabiilah Aziizah; Nizar, Mochammad
Bulletin of Electrical Engineering and Informatics Vol 13, No 1: February 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v13i1.6384

Abstract

Lamp automation is utilized to adjust the lighting in the classroom by adjusting to the level of sunlight intensity outside the classroom. The light intensity will be adjusted to the utilization of lights as indicated by the need to enlighten a room. Therefore, this research aims to depict the design of a light intensity measurement system using a BH1750 sensor that will be carried out to measure the intensity of sunlight in units of light (lux). The signal from the sensor will be transmitted to a mini pc which functions to process measurement data and display it on the graphical user interface (GUI). As a result, the sensor will instruct the dimmer as an actuator to control the classroom lights according to the lighting from the sun. This system is already installed in the classroom and can save energy around 35 kWh a year.
Design and build a pond temperature control system and automatic feed for tilapia in aquaponics Aisyah, Putri Yeni; Widya Pratama, I Putu Eka; Permadani, Dyah Ayu
Jurnal Nasional Aplikasi Mekatronika, Otomasi dan Robot Industri (AMORI) Vol. 3 No. 1 (2024): July
Publisher : Faculty of Vocational Studies - Research Center, DRPM ITS

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

Abstract

Expansion of land causes the population and food needs to be unbalanced. One way to overcome this problem is aquaponic cultivation. Aquaponics is a modern practical farming system that integrates plant cultivation systems with the cultivation of aquatic animals. One of the success factors of aquaponics is temperature and automatic feeding of pond water. To get the right temperature for fish, temperature control can be done using the DS18B20 temperature sensor. When the fish pond temperature drops below 28°C, the heater will automatically turn on to raise the pond temperature, and when the pond temperature rises above 32°C, the peltier will light up and start lowering the fish pond temperature. Automatic feeding uses the Real Time Clock (RTC) module as a timer and a servo motor as the opening valve for the fish feed container. The results of this research obtained the relative growth rate (RGR) ratio of fish before and after the control system was installed was 7.14% and 11.2%, respectively. The feed conversion ratio (FCR) values of fish before and after the control system was installed were 12.50% and 21.07%, respectively. The plant growth rate before and after the control system was installed were 22.9% and 33.71%, respectively.