GRANDIS, RESTU WIDYA (2022) AUTOMATIC FAN SYSTEM ACCORDING TO HUMAN MOVEMENT AND TEMPERATURE. Other thesis, Universitas Katholik Soegijapranata Semarang.
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Abstract
Currently, many people still use fans for air conditioning because AC costs more. But without them knowing the use of a fan can also cause costs to be expensive. One of the reasons is when people leave the room but don't turn off the fan first, citing forgetting or being in a hurry. In addition, there are also those who cannot watch television quietly, because they have to go back and forth to get the right wind or just increase and decrease the fan speed. Then an automatic fan system was made that can turn off and on by itself at a speed that adjusts the room temperature right away so that fan users don't have to worry about costs anymore and are calmer when leaving the room or watching television. So I designed a tool for an IoT-based automatic fan system using an LM35 sensor to detect room temperature, an Ultrasonic sensor to detect the distance between the fan and an object, a Servo Motor to move the fan to the right and left, and LED as an indicator light. The values obtained from the LM35 sensor and Ultrasonic sensor are processed into the Fuzzy Sugeno algorithm to determine the fan speed and the brightness level of the LED. The end result is that the fan can turn on and off by itself at a speed that adjusts the temperature in the room and the distance between the object and the fan. Of course, the fan can also rotate right and left if the ultrasonic sensor detects a person on the right or left.
| Item Type: | Thesis (Other) |
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| Subjects: | 000 Computer Science, Information and General Works |
| Divisions: | Faculty of Computer Science > Department of Informatics Engineering |
| Depositing User: | mr AM. Pudja Adjie Sudoso |
| Date Deposited: | 23 Mar 2022 03:54 |
| Last Modified: | 23 Mar 2022 03:54 |
| URI: | http://repository.unika.ac.id/id/eprint/28259 |
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