Prayoga, Mahesa (2022) Sistem Pendeteksi Kebakaran Pada Ruangan Menggunakan Metode Fuzzy Logic Berbasis Iot. Diploma thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Kebakaran dapat terjadi dikarenakan beberapa faktor, salah satu contohnya tidak teridentifikasinya potensi kebakaran hingga kebakaran menjadi besar. Cara mencegah, mengurangi dan memadamkan kebakaran adalah dengan menyediakan sistem keamanan, sarana deteksi, peringatan alarm kebakaran dan fire sprinkler. Pada penelitian ini dibuat sistem pendeteksi kebakaran sebagai tindakan pertama untuk mendeteksi dan meminimalisir terjadinya kebakran dengan cara membuat system monitoring keamanan kebakaran dan menyalakan pompa secara otomatis ketika terdeteksi sebuah kebakaran. Sistem ini bekerja menggunakan metode logika fuzzy untuk mengukur kondisi asap, gas, suhu ruangan dan api pada ruangan, dimana output dari proses logika fuzzy tersebut adalah nilai potensi kebakaran dan akan memunculkan notifikasi pada smartphone dan menyemprotkan air sebagai pertolongan pertama. Sistem diujikan pada prototype ruangan khusus dengan ukuran Panjang=40cm x Lebar=20cm X Tinggi=50cm. Pengamatan dilakukan ketika sistem diberikan masukan potensi kebakaran yang berbeda-beda. Penelitian ini mendapatkan hasil bahwa algoritma fuzzy dapat digunakan pada alat pendeteksi kebakaran yang sederhana namun tetap mampu mengurangi kesalahan pembacaan kebakaran. Keberhasilan pembacaan identifikasi kebakaran mencapai 81,8% dan delay pembacaan respon sistem yaitu 4s (4 detik) ditambah dengan sistem monitoring jarak jauh untuk memantau keadaan rumah saat dalam kondisi diluar rumah.
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Fires can occur due to several factors, one example is not identifying the potential for fires until the fire becomes large. How to prevent, reduce and extinguish fires is to provide security systems, means of detection, fire alarm warnings and fire sprinklers. In this study, a fire detection system was created as the first action to detect and minimize the occurrence of fires by creating a fire safety monitoring system and turning on the pump automatically when a fire was detected. This system works using the fuzzy logic method to measure the condition of smoke, gas, room temperature and fire in the room, where the output of the fuzzy logic process is the value of the potential for fire and will display a notification on the smartphone and spray water as first aid. The system was tested on a special room prototype with a size of Length = 40cm x Width = 20cm X Height = 50cm. Observations were made when the system was given different inputs of fire potential. This study found that fuzzy algorithms can be used in simple fire detection devices but are still able to reduce fire reading errors. The success of the fire identification reading reached 81.8% and the delay in reading the system response was 4s (4 seconds) coupled with a remote monitoring system to monitor the condition of the house when it was outside the house.
| Item Type: | Thesis (Diploma) |
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| Additional Information: | RSEO 629.922 5 Pra s-1 2022 |
| Uncontrolled Keywords: | Fuzzy Logic, Kebakaran, Sistem Keamanan. Fire, Fuzzy Logic, Security System. |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK3070 Automatic control |
| Divisions: | Faculty of Vocational > Mechanical Industrial Engineering (D4) Faculty of medicine and health (MEDICS) Faculty of medicine and health (MEDICS) > 11901-Profession of Doctor Faculty of medicine and health (MEDICS) > Medical Technology Faculty of medicine and health (MEDICS) > Medical Technology > 11503-(S1) Undergraduate Thesis |
| Depositing User: | Mr. Marsudiyana - |
| Date Deposited: | 15 Jul 2026 07:16 |
| Last Modified: | 15 Jul 2026 07:16 |
| URI: | http://repository.its.ac.id/id/eprint/135070 |
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