Sumarto, . (2017) Sistem Peringatan Dini Deteksi dan Pemadam Kebakaran Berbasisi Raspberry Pi. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Kebakaran merupakan hal yang sangat sering terjadi terutama pada rumah yang ditinggal pergi oleh penghuninya. Ketika terjadi kebakaran, intensitas api saat diketahui cenderung sudah membesar sehingga sulit untuk ditanggulangi. Untuk itu pada penelitian ini telah dirancang dan dibuat suatu sistem peringatan dini pendeteksi kebakaran yang dapat menginformasikan kepada penghuni rumah. Sehingga penghuni dapat menanggulangi/mencegah terjadinya kebakaran. Pada sistem ini menitikberatkan pada metode pendeteksian kebakaran dengan menggunakan 4 buah sensor yaitu flame sensor 5 kanal, photoelectric IR break beam sensor, sensor gas MQ-5 dan MQ-7. Hal ini bertujuan untuk memperoleh tingkat keakurasian yang tinggi sehingga dapat menghindari adanya kesalahan informasi. Keluaran sistem yang berupa kondisi tingkat bahaya akan mengaktifkan pemadaman otomatis, dan disampaikan ke penghuni berupa alarm, SMS Gateway dan notifikasi email. Informasi tersebut berisi gambar kondisi ruangan sehingga dapat dimonitor jarak jauh melalui internet. Raspberry pi digunakan untuk membaca inputan sensor dan sebagai server. Hasil percobaan menunjukkan ketika tegangan flame sensor 5 kanal lebih dari 4V maka sistem mengirim SMS, email ke penghuni serta mengaktifkan alarm dan water solenoid valve untuk menyiram air. Ketika konsentrasi gas LPG diatas 1000 ppm atau CO 200 ppm maka sistem mengirm SMS ke penghuni berisi konsentrasi gas melebihi ambang batas. Sistem membutuhkan waktu untuk pengiriman SMS rata-rata 6 detik.
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Fire at home happens very frequent especially in the home thait is being leaved by its residents. When fire occurs, people can only realize when the flame intensity has already huge. So it makes hard to be extinguisher. For that reason this research has been conducted to developed an early warning system to detect fire that will inform to home residents. So that the resident can prevent the home fire. this system focus on the fire detection that is developed using 4 sensors which are 5 channel flame sensors, photoelectric IR break beam sensor, MQ-5 and MQ-7 gas sensor. The goal is to obtain a high level of accuracy sensor to prevent misinformation. The output of this system for a danger level conditions will activate the automatic extinguisher, then the alarm, SMS Gateway, and a notification email will be sent to the resident. The information contains the room conditions so that the room will be monitored for long distance via internet. Raspberry pi is employed to read the sensor inputs and also as a server. The experiment results shows that when the voltages at the 5 channel flame sensors are over 4 volts then the system will send an SMS and an email to the resident and also activate the alarm and the water solenoid valve to drain for water. When the LPG gas concentration is over 1000 ppm or CO 200 ppm then the system will send an SMS to the resident containing the gas treshold message. The time needed to send the SMS on average is 6 seconds.
| Item Type: | Thesis (Undergraduate) |
|---|---|
| Uncontrolled Keywords: | Kebakaran, Notifikasi Email, Raspberry Pi, SMS Gateway |
| Subjects: | Q Science T Technology > T Technology (General) T Technology > T Technology (General) > T55 Industrial Safety |
| Divisions: | Faculty of Industrial Technology > Electrical Engineering > 20201-(S1) Undergraduate Thesis |
| Depositing User: | Sumarto . . |
| Date Deposited: | 09 Feb 2018 04:02 |
| Last Modified: | 06 Mar 2019 02:36 |
| URI: | http://repository.its.ac.id/id/eprint/47576 |
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