RANCANG BANGUN GATEWAY LoRa UNTUK SMART AQUACULTURE

Abstract

This study developed a Smart Aquaculture system using Long Range (LoRa) communication, applied at the Fish Hatchery Center (BBI) Ciganjur. The system is designed to monitor and control pond water quality in real-time, efficiently and integratively, supporting modern and sustainable aquaculture management. The transmitter uses an Arduino Mega 2560 equipped with pH, turbidity, TDS, and temperature sensors, along with actuators such as pumps, heaters, and cooling fans. The receiver uses an ESP32 connected to a MySQL database for data storage and processing. The system operates at a range of up to 1.3 km in Line of Sight (LOS) conditions and 500 meters in Non-Line of Sight (NLOS). Test results show that the pH sensor recorded averages of 4.06 (acidic) and 6.98 (alkaline), with a maximum error of 2.34%. The temperature sensor recorded 27.23°C (normal), 24.15°C (cold), and 29.18°C (hot), with a maximum error of 1.25%. TDS values were 144.28 ppm (mineral water), 82.84 ppm (refill), and 201.96 ppm (tap water) with a maximum error of 5.48%. Turbidity levels identified clear (0.00 NTU), cloudy (135.12 NTU), and very cloudy (300.00 NTU) conditions. Data is transmitted every 30 minutes. The system proved accurate, reliable, and suitable for IoT-based aquaculture.