Application of Fuzzy Logic to Detect TSS and DO Contamination in Aquaculture
DOI:
https://doi.org/10.62535/f4tdgd70Keywords:
TSS, fisheries cultivation, tangledAbstract
The quality of water in aquaculture systems plays a critical role in maintaining the health and
productivity of aquatic organisms. Two key parameters affecting water quality are Dissolved
Oxygen (DO) and Total Suspended Solids (TSS), both of which fluctuate and can negatively
impact fish survival rates. This study aims to design and evaluate a fuzzy logic-based
classification system using the Mamdani method to assess water quality conditions based on DO
and TSS values. The research employed a qualitative approach supported by simulation using
MATLAB software. The input variables were DO and TSS, while the output was the
classification of water quality into two categories: good and poor. The fuzzy inference system
was constructed using membership functions and rule-based logic. The results showed that the
system was capable of generating accurate and adaptive outputs, with a sample input of DO 9.04
mg/L and TSS 235 mg/L producing an output value of 0.742, indicating good water quality.
These findings demonstrate the effectiveness of the system in supporting water monitoring in
aquaculture operations.
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