RICO WAHYUDI, -
IMPLEMENTATION OF FUZZY LOGIC IN THE MONITORING AND
CONTROLLING SYSTEM FOR TEMPERATURE AND PH OF FRY
AQUARIUM WATER BETTA FISH BASED ON THE
INTERNET OF THINGS.
https://ejournal.unkhair.ac.id/index.php/protk.
Abstract
A problem faced by betta fish farmers is the
difficulty in monitoring and controlling the temperature
and pH of the water in betta fish fry ponds. This
condition causes many deaths of Betta fish fry which
results in a reduction in the supply of Betta fish seeds. To
overcome this problem, a system based on the Internet of
Things was developed(IoT) which can monitor in real
time and control the temperature and pH of the water in
the Betta fish fry pond. This system is implemented in an
aquarium equipped with artificial intelligence in decision
making which aims to keep the temperature and pH of
the aquarium water stable. The components used in this
system include ESP32, DS18B20 temperature sensor,
water pH sensor, Thermo Electric Cooler (TEC), heater,
DC pump, and fuzzy logic implementation. The results of
system testing for 14 days showed that the system was
able to monitor and control the temperature and pH of
the aquarium water, maintaining ideal conditions for
Betta fish fry with an average temperature of 28.79°C
and an average water pH of 7.45. The system also
succeeded in reducing the mortality rate of Betta fish fry,
as proven in comparative tests between aquariums
without system implementation and aquariums with
system implementation. In this trial, each aquarium was
filled with 30 betta fish fry. The results showed that the
aquarium with system implementation was able to
reduce the death rate of Betta fish fry by 5 or 16.67%
from a total of 30 fish. Meanwhile, aquariums without
system implementation had a death rate of 12 betta fish
fry or 40% of the total of 30 betta fish fry.
Keywords: Fuzzy Logic, Temperature Control, pH Control,
Betta Fish, IoT.
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