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Pemanfaatan Panel Surya Berbasis Internet Of Things untuk Penyediaan Energi Pada Pemanas Air Listrik Engla Desita; Endah Fitriani
Uranus: Jurnal Ilmiah Teknik Elektro, Sains dan Informatika Vol. 3 No. 1 (2025): Maret: Uranus: Jurnal Ilmiah Teknik Elektro, Sains dan Informatika
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/uranus.v3i1.690

Abstract

The use of renewable energy has become an essential solution to reduce dependence on limited fossil energy sources. Solar panels are an environmentally friendly alternative for generating electrical energy. This study develops a solar panel system based on the Internet of Things (IoT) to provide energy for electric water heaters. The system allows for the monitoring and control of energy usage through an IoT-based application, such as Telegram. The solar panels are connected to an ESP32-based controller system, which monitors sunlight intensity and battery charging status. The test results indicate that this system can provide sufficient energy for electric water heaters with optimal efficiency and reduce dependence on conventional energy sources.
RANCANG BANGUN ALAT PENGHITUNG BIBIT IKAN LELE BERBASIS MIKROKONTROLER Engla Desita; Endah Fitriani
Jurnal E-Komtek (Elektro-Komputer-Teknik) Vol 9 No 2 (2025): (In Press)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/e-komtek.v9i2.2702

Abstract

Catfish farming in Indonesia has significant potential; however, conventional methods of counting fish fry still face various challenges, such as the considerable time required and a high risk of errors. This study aims to design and build an automatic counting device for catfish fry based on the Arduino Mega 2560 microcontroller, integrated with an E18-D80NK infrared proximity sensor and a DS18B20 temperature sensor. The device is specifically designed to count catfish fry measuring between 6 to 8 cm, where the infrared proximity sensor is used to count the number of fish fry passing through, while the DS18B20 sensor functions to detect the water temperature in the holding tank. The operational process of the device includes inputting the number of fry via a 4x4 keypad, opening the counting path using a servo motor, measuring the water temperature, displaying data on a 16x2 LCD, and closing the path after the counting process is completed. The test results indicate that the DS18B20 sensor has an accuracy of 97.68% with an average error of 2.32%, while the infrared proximity sensor achieves an accuracy of 89.08% with an average error of 10.92%. This device successfully counts the number of catfish fry automatically, monitors the water temperature, and displays information in real-time on the LCD. Therefore, the catfish fry counting device based on the Arduino Mega 2560 is expected to enhance time and labor efficiency, as well as minimize errors in the counting and distribution processes of catfish fry.