IoT, LoRa, and Arduino Weather Station for Real-Time Monitoring of Water Quality in Abraded Shrimp Ponds

• S. Suyono ^[1] ; Alin Fithor ^[2] ; Beni Sabdo Nugroho ^[3] ; Tofik Hidayat ^[4] ; Eko Budiraharjo ^[4]
  1. [1] Aquaculture, Faculty of Fisheries and Marine Science, Pancasakti University, Tegal
  2. [2] Coastal Resources Management, Research Center of Hydrodynamic Technology, National Research and Innovation Agency-BRIN, Yogyakarta
  3. [3] Fisheries Resources Management, Faculty of Fisheries and Marine Science, Pancasakti University, Tegal
  4. [4] Faculty of Engineering and Computer Science, Pancasakti University, Tegal

  Mostrar afiliaciones +
• Localización: Thalassas: An international journal of marine sciences, ISSN 0212-5919, Vol. 42, Nº. 1, 2026
• Idioma: inglés
• Texto completo no disponible (Saber más ...)
• Resumen

  • Information Technology use in abraded mangrove ponds differs from that in normal ponds. These ponds have water quality dynamics strongly influenced by open access to waves that carry seawater masses, thereby affecting the stability of the cultivation medium. By providing register abstraction, data buffering, and communication validation, Adafruit BusIO software ensures that sensors such as those for potential Hydrogen, dissolved oxygen, temperature, and turbidity are supported. This study aimed to examine the application of the Internet of Things, long-range, and an Arduino weather station for automatically monitoring water quality in abraded mangrove shrimp ponds that adapt to weather changes, thereby helping detect land changes due to pond abrasion. These solutions typically involve sensors and remote monitoring to provide real-time data on environmental and shoreline conditions in the coastal area of East Brebes, Brebes District, Central Java, Indonesia. System design involves software usage that serves as a medium for connecting to hardware. In this study, the software used is Arduino IDE. Research results: Calibration of the sensor using three buffer solutions with three different hydrogen concentrations, namely 4.0 (acidic), 7.0 (neutral), and 8.0 or 10.0 (alkaline). The average water pH ranged from 7.96 to 8.31, and the average water temperature ranged from 29.25 °C to 29.87 °C. The study results show that Arduino IDE technology can accurately monitor shrimp pond water quality. The measurements produced pond water quality data, including the potential of Hydrogen and water temperature, which were sufficient for shrimp cultivation