Effect of Water Temperature on Water Quality Variables in Urban Catfish Cultivation Based on Association Rule Mining

Fish is a good food commodity for human consumption. Catfish are one type of fish that can be cultivated. Cultivating catfish can now be done through urban farming, which does not require large land areas. Water quality is an essential variable in the survival of catfish farming. Various methods have been used to analyze water quality variables, including IoT tools and applying machine learning. This study uses a public dataset from the Kaggle database published in the Data in Brief journal. Water temperature, pH, turbidity, and ammonia levels are variables considered in water quality. The research focuses on the effect of temperature variables on other water quality variables. This study analyzes the possibility of using association rule mining on the factors that affect the water temperature variable. Association rule mining is proven to explore the relationship between water temperature variables and other variables. The ideal water temperature for catfish is 24-26° C to maintain other variables within the recommended range of values.