Skripsi
IMPLEMENTASI KENDALI LOGIKA FUZZY PADA PURWARUPA PENDETEKSI KEBAKARAN DALAM RUANG MENGGUNAKAN FLAME SENSOR BERBASIS INTERNET OF THINGS.
Fire is one of the disasters that most people worry about, especially indoor fires in office buildings, hospitals, shopping centers or housing, because in addition to possibly causing material losses, fires can also cause casualties. Therefore, to overcome this, we need a tool and system that can detect the possibility of a fire in the room. In this study, several sensors will be used, including the flame sensor to detect fire and the MQ2 sensor to detect smoke. NodeMCU ESP32 will be used as microcontroller that will function as a controller of tools such as turning on the buzzer alarm and turning on the LED, as well as connecting the tools to the Blynk application which will display information in the form of room conditions whether it is safe, somewhat safe, dangerous or very dangerous when a fire occurs, with Sugeno's fuzzy calculation. The result of this research is to be able to find out information about indoor fires as early as possible through the Blynk smartphone application in order to prevent fires from getting bigger and reduce the possibility impacts such as material losses and casualties.
Inventory Code | Barcode | Call Number | Location | Status |
---|---|---|---|---|
2407001844 | T141058 | T1410582024 | Central Library (REFERENCES) | Available but not for loan - Not for Loan |
No other version available