Design Of Fish Feeder Control System and Water pHMonitoring in Tilapia Pond Based on Internet of Things (IoT)Using Mini PC

Authors

  • M. Syahzali Ardini Department of Electrical Engineering, Universitas Negeri Padang, Indonesia Author
  • mukhlidi Muskhir Department of Electrical Engineering, Universitas Negeri Padang, Indonesia Author
  • Habibullah Department of Electrical Engineering, Universitas Negeri Padang, Indonesia Author
  • Fadhli Ranuharja Department of Electrical Engineering, Universitas Negeri Padang, Indonesia Author

DOI:

https://doi.org/10.24036/399mty46

Keywords:

Pemberi pakan otomatis, Raspberry Pi, Monitoring, Internet of Things (IoT), Web Server.

Abstract

The aquaculture sector currently has a real contribution to food
security, including increased production, animal protein consumption,
employment, income and regional development. Some problems in
tilapia farming are manual feeding and unstable water pH levels. This
research aims to design and build an automatic control system for fish
feeders and monitoring water pH in tilapia ponds based on the Internet
of Things (IoT). This system uses a Raspberry Pi as the system
control. In the feeding mechanism, the HX711 load cell sensor is used
to weigh the feed, the servo motor functions as the opening and closing
of the main feed container, and the DC fan acts as a blower of the
weighed feed into the pond area. In addition, a PH-4502C sensor is
used to measure the acidity (pH) of the pond water in real-time. All
data related to feed weight and water pH are displayed through a web
server interface that can be accessed remotely by users. This system is
expected to improve the efficiency of feeding and monitoring water
quality, thus supporting optimal tilapia growth. The test results show
that this system is able to operate well and provide accurate
monitoring results as well as timely feed control and in accordance
with the needs of tilapia.

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References

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Published

2024-11-30

How to Cite

Design Of Fish Feeder Control System and Water pHMonitoring in Tilapia Pond Based on Internet of Things (IoT)Using Mini PC. (2024). Journal of Industrial Automation and Electrical Engineering, 1(2), 34-40. https://doi.org/10.24036/399mty46

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