Implementasi Sistem Iot Monitoring Anggrek Berbasis Arduino Dan Fuzzy Pada Mobile

Abstract

Orchid growth is strongly influenced by environmental factors such as temperature, humidity, and light intensity. Manual monitoring of these parameters is inefficient and may cause suboptimal growth. This study designs and implements an Internet of Things (IoT) system based on Arduino, integrated with a mobile application and Fuzzy Logic algorithm to monitor the growth conditions of orchids. The system collects temperature, humidity, and light data through sensors, processes them via Fuzzy Logic using Mamdani inference, and classifies the environment into growth suitability levels. Data is transmitted in real time to the Supabase cloud database and displayed in a mobile application developed using React Native. The application features condition logs, graphical trends, and automatic notifications when values are outside optimal thresholds. Testing shows the system performs reliably in real-time monitoring and successfully categorizes environmental conditions into four categories: Very Poor, Poor, Moderate, and Optimal. This solution improves orchid care efficiency and supports smart agriculture practices.