Adaptive Cooling System for Comfortable Learning

The development of IoT technology has penetrated the world of education by integrating multimedia facilities such as smart classroom with room ecosystem facilities in smart home. Temperature as part of room ecosystem is related to one's performance and productivity such as the teaching and learning process. The problem of temperature is always changing due to various factors. controlled temperature is required, but with high energy consumption, optimization of its use needs to be considered. Adaptive approach solutions are used to regulate the temperature of classroom. This room has a maximum capacity of 32 participants and is equipped with 2 Air Conditioners (ACs). The use of air conditioning is regulated through 3 rules, namely student attendance, class schedules, and room temperature. We developed an IoT system consisting of sensors to detect student attendance, measure room temperature, and remote AC that is integrated with the lecture scheduling system. The system that is built is tested using several scenarios according to the rules that have been set in a conditioned learning room and can run as expected with success approaching 100%. Then the classroom ecosystem can indirectly affect the improvement of the teaching and learning process from the comfort point of room temperature.