Sistem Peringatan Dini untuk Deteksi Kebakaran pada Kebocoran Gas Menggunakan Fuzzy Logic Control
DOI:
https://doi.org/10.21776/jeeccis.v11i1.402Abstract
Abstract—Fire accidents, due to the leakage of LPG gasses, should be avoided; therefore a systsem that can anticipate the accident is necessary. A system consisting of two sensors and three actuators is designed. MQ5 sensor served as a gas sensor to detect gas concentration of 200 – 10000 ppm. LM35 sensor served as a temperature sensor in range of -55–140. Output system consisted of a buzzer and two fans. System measurement is performed by modeling a cube for three conditions. The results show that the system created using fuzzy logic control can work on three conditions: 45 ppm is detected at 30.49 (no leakage gas), 70 ppm is detected by increasing temperature up to 31.49 (no leakage gas), leakage gas of 1200 ppm caused the decreased of the temperature to 28.13.References
Asep, et.al., 2012, ‘Pendeteksi Kebocoran Tabung Gas LPG Menggunakan Mikrokontroller AT898S2051 Melalui Handphone Sebagai Media Informasi’, Seminar Nasional Teknologi dan Komunikasi Terapan, Semarang 23 Juni 2012
Peter C, et.al., ‘Pengaturan Kecepatan Motor DC Dengan Adaptive Fuzzy Logic Controller Metode Tuning Output’, http://eprints.undip.ac.id
Kusumadewi. Artificial Intelligence (Teknik dan Aplikasinya), Graha Ilmu, 2003.
Kusumadewi dan Hartati. Neuro-Fuzzy Integrasi Sistem Fuzzy dan Jaringan Syaraf, Graha Ilmu, 2006.
Supono, 2014, ‘Mengenal Lebih Dekat LPG (Liquified Petroleum Gas) Sebagai Bahan Bakar Untuk Kompor Gas’, www.vedcmalang.com, diakses tgl 03 April 2015
Futurlec. (n.d). MQ5 Sensor DataShheet. Maret, 2010.
http://www.futurlec.com/Datasheet/sensor/H2.pdf
Texas Instruments. Januari, 2016
www.ti.com
Wibowo dan Gamayel. 12 Proyek Mikrokontroller untuk Pemula, Alex Media Komputindo, 2007
Firmansyah. Proyek Robotik Keren dengan Arduino, Alex Media Komputindo, 2015.
