PROTOTYPE SISTEM AKUAPONIK BERBASIS WEB DENGAN IMPLEMENTASI OPTIMASI PEMBERIAN NUTRISI MENGGUNAKAN ALGORITMA SIMPLE ADDITIVE WEIGHTING (SAW)

WEB-BASED AQUAPONIC SYSTEM PROTOTYPE WITH THE IMPLEMENTATION OF NUTRIENT SUPPLY OPTIMIZATION USING THE SIMPLE ADDITIVE WEIGHTING (SAW) ALGORITHM

Abstrak

This study aims to develop a web-based aquaponics system prototype that implements the Simple Additive Weighting (SAW) algorithm for nutrient optimization. As an integrated farming system, aquaponics encounters challenges in controlling environmental parameters such as pH level, water temperature, Total Dissolved Solids (TDS), and water level, which are still managed manually. The research employs the Research and Development (R&D) method, which includes: (1) designing an Internet of Things (IoT)-based system consisting of pH sensor, TDS sensor, temperature sensor, ultrasonic sensor, and Arduino Uno microcontroller; (2) implementing the SAW algorithm for automated decision-making process; and (3) conducting system testing and validation. The results demonstrate that the developed system can monitor aquaponics parameters in real-time through a web interface with sensor accuracy showing an error rate below 5%. The SAW algorithm successfully calculates nutrient requirements based on parameter weighting, with expert validation indicating a system feasibility level of 77.6%, categorized as "Highly Feasible". Therefore, it can be concluded that this webbased aquaponics system prototype with the SAW algorithm is capable of optimizing automatic nutrient distribution, improving resource use efficiency, and supporting sustainable agricultural practices.