Temperature can affect humidity. The interaction between temperature and
humidity also directly affects human health and well-being. Relative Humidity (RH)
of air is an indication of how much water vapor is in the air at a certain temperature
compared to how much water vapor the air can actually hold at that temperature.
This research discusses the prototype of a humidifier control device. Fuzzy Sugeno
logic is applied to overcome uncertainty and complexity in sensor data decision
making. The DHT22 sensor is accurate in detecting temperature and humidity, with
an error value not exceeding 10% in each experiment. The MQ-135 sensor can
detect pollutants from several experiments that have been carried out. Testing the
implementation of 9 rule bases taken 4 data for each rule shows the success rate
indicates high accuracy with an average value of 91.66%, it can be concluded that
the fuzzy program made is fairly effective, fan speed and mist maker function
properly and telegram notifications can provide warnings if the air quality in the
room is not good.
Keywords : Control System, Notification, Air Humidifier, Indoor Air Quality,
Internet of Things