The Implementation of The Fuzzy Sugeno Algorithm On an IoT-Based Temperature and Humidity Monitoring System

Internet of Things (IoT) is one of the new trends in the world of technology that connects electronic devices or sensors that can be accessed through the Internet continuously and can be controlled remotely through devices or gadgets. One example of using IoT in everyday life is a server that is always active and connected to the Internet. Continuous device activity causes the device to become high temperature and is likely to reduce the device’s performance and age. The problem of this study is about how the system can monitor the temperature and humidity of the server device based on IoT in real-time through web-based monitoring using Sugeno Fuzzy Inference and how much accuracy the Sugeno Fuzzy Inference in determining the temperature and humidity of the server device. So, the purpose of this research is to design and build a monitoring system for server temperature and humidity based on IoT in real-time through web-based monitoring. The approach method used is the Sugeno Fuzzy for Inferencing and prototyping for the Software Development method. The result shows that the web page can display the data captured from the hardware graphically and system able to respond to the condition when the temperature of the server reaches the overheat condition.