IMPLEMENTATION OF MOBILE APPLICATION INTERFACE RED TILAPIA FEEDING AUTOMATION SYSTEM ON IOT SMART WATER METER

• Main Author: Hiro Agayeff Muslion, Mhd.
• Format: Final Project
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/78115
• Institution: Institut Teknologi Bandung

Aquaculture is the largest sector in the fishery resource production industry, especially in Indonesia, but in its implementation, the aquaculture process is still not running effectively, with the problem of underfeeding and overfeeding conditions in the aquaculture process. Fish feeding automation systems using machine learning are one of the solutions in solving these problems. This final project aims to develop an appropriate interface for the red fish feeding automation system application on the IoT Smart Water Meter on the Android and iOS platforms. This application is developed by applying a user-centered interaction design approach that has usability goals have a good utility and has user experience goals helpful. Testing results of the developed application indicates that the application achieves usability goals have a good utility and achieves user experience goals helpful. The results of user acceptance testing of the developed application conducted on 6 participants indicate that the application is appropriate and feasible to use in the fish feeding automation system with the results obtained that all participants successfully completed the 63 tasks provided.