Rancang Bangun Sistem Monitoring Pemberi Pakan Kering Kucing Otomatis dengan Metode Fuzzy Logic

Abstract

A cat (Felis catus) is a small carnivorous mammal that is usually kept as a pet inside the house. The most common problem faced by cat owners is feeding. Some cat owners have very busy daily schedules. So this study aims to design an automatic cat feeding monitoring system that can be monitored in realtime through an android application. An automatic cat dry feeding system was designed to ensure that the cat's needs are fulfilled without the presence of the owner. By considering factors such as cat weight, temperature, cage humidity and cat feed humidity, it is expected that the certainty of cat feed will be more guaranteed. To calculate the influence of these factors, the fuzzy logic method is used so that the optimal value of feeding decisions can be obtained based on the consideration of these factors. In this study, the application of a fuzzy logic system for determining feeding will be carried out by considering these factors using the MATLAB application, which is then applied to automatic cat feeding devices. From the test results, it was found that the success rate of the tool was 93.16% and the error was 6.84%. Errors in the tool are caused by the mechanical system in the servo motor and the potential force of the fall of feed into the feed container. The design results show that the automatic cat dry feed monitoring system with the fuzzy logic method can work effectively and efficiently without having to be attended by the owner.