Abstract:
Sleep quality is the level of satisfaction of an individual with a condition experienced while sleeping, so that the individual feels fresh or not when he wakes up. This study aims to develop an expert system that can determine the quality of an individual's sleep. The reasoning process to determine the sleep quality of an individual in this expert system uses the Tsukamoto fuzzy inference system method. This method has three important stages, namely fuzzification, inference, and defuzzification. In this study, reasoning was carried out on an individual's sleep condition data consisting of data on the condition of body temperature, heart rate, anxiety level, room temperature, room humidity, and light intensity. These data are obtained with the help of Internet of Things-based sleep monitoring devices so that they can record data in real time and periodically. The process of designing the system using Unified Modeling Language (UML) diagrams. The system was developed using the PHP programming language, Codeigniter 3 framework, MySQL database, and run on the Apache web server. This study involved ten subjects. Data retrieval is done by pairing a monitoring device on the subject while the subject is sleeping. The results of this study are the Tsukamoto fuzzy inference system method can be used to determine the quality of sleep of an individual in the developed expert system.
