Catfish farming, as one of the key aquaculture commodities, heavily relies on maintaining optimal water quality. Changes in water quality parameters such as temperature and pH levels can lead to stress, disease, or even mass mortality in catfish, negatively impacting farming success. This study aims to develop an Internet of Things (IoT)-based water quality monitoring system for catfish ponds, integrated into a mobile application, with an early warning system for temperature and pH levels. The system is designed to send real-time notifications to farmers when water quality parameters reach dangerous thresholds. Testing was conducted on a catfish pond at Gontor 1, behind Wisma Darussalam, showing that the system effectively monitored temperature with a 95% success rate and pH with a 92% accuracy rate. Overall, this system improves water management efficiency, farm sustainability, and reduces the risk of losses due to mass catfish mortality.