Backend System for Nile Tilapia (Oreochromis Niloticus) Cultivation Management System

Water quality is an important factor in nile tilapia cultivation. The level of water quality can be determined by the physiochemical parameter of the water. The health and quality of nile tilapia are highly influenced by the quality of water they live in. A mobile application management system for nile tilapia cultivation is used to monitor and provide action recommendations for nile tilapia cultivation ponds and its water quality. This system utilizes smart water meter as an implementation of IoT (Internet of Things) to determine the values of physiochemical parameters of the water. A backend system is required to support the management system through a server, ensuring the load will not be burdened by the user's mobile device. Smart water sensor data is integrated through Antares, a cloud IoT platform in Indonesia. It is used as a broker to connect and send data to the backend system, giving a real-time data. The backend system is connected to a machine learning component to provide predictions regarding water quality parameters, providing anticipatory actions and notifications to users. The system is tested for its functionality and performance in handling loads. The test results shows that the architecture of the backend system plays an important role in supporting the application's functionality to operate optimally.