Design of a Prototype of Smoke Exhaust Control System in an Enclosed Room with the Fuzzy Sugeno Method Perancangan Prototipe Sistem Kendali Pembuang Asap Pada Ruangan Tertutup dengan Metode Fuzzy Sugeno

Main Article Content

Setya Ardhi
Cahya
Prajetno
Suhati Tjandra

Abstract

Cigarette smoke can contaminate indoor air that causes some health risks. Smoke control in enclosed rooms is necessary to reduce the thick smoke in them by controlling the CO content index to the desired point. The purpose of the study, knowing the grouping of the density of smoke and the time in disposing of smoke to the point of a predetermined setpoint value of 60 ppm. This research applied the Fuzzy Logic Sugeno Method and hardware design using a prototype in the form of an acrylic box with a ratio of 1:10 of the actual size as a tool test site; LCD to display information, namely, in the form of smoke density, fan, setpoint value, and smoke value; MQ2 sensors for CO smoke detection; Arduino Nano as a microcontroller; and relay and fan as output. The experiment results resulted in 3 categories of smoke: low, medium, and high. Besides, the results of this study also showed that the time required to emit smoke in a closed room to the point of a setpoint value of 60 ppm with the help of 3 fans on each fan 12v / 0.14A is 2 minutes 05 seconds.

Downloads

Download data is not yet available.

Article Details

How to Cite
[1]
S. Ardhi, D. Kusuma, J. Sugiono, and S. Tjandra, “Design of a Prototype of Smoke Exhaust Control System in an Enclosed Room with the Fuzzy Sugeno Method”, PELS, vol. 1, no. 2, Jul. 2021.
Section
Electrical Engineering

References

[1] Effendy, F,A,. 2015.Kendali Kecepatan Kipas Pembuangan Pada Ruang Khusus Merokok Sebagai Pembersih Dan Pengatur Sirkulasi Udara Berbasis Mikrokontroller, Skripsi Strata 1 Teknik Elektro, Universitas Telkom Bandung.
[2] Iwan Supriyatna. 2017 "Percuma Jalani Pola Hidup Sehat Kalau Masih Merokok". https://lifestyle.kompas.com/read/2017/07/19/170900120/percuma-jalani-pola-hidup-sehat-kalau-masih-merokok. Diakses pada 24 Februari 2020.
[3] Kusumadewi, S., dan Purnomo, S. 2010. Aplikasi Logika Fuzzy untuk Pendukung Keputusan. Penerbit : Graha Ilmu. Yogyakarta.
[4] M. Passino, Kevin, Yurkovich, Stephen, Fuzzy Control, Addison-Wesley Longman
Inc., California, 1998.
[5] Nebath, E., 2014. Rancang Bangun Alat Pengukur Gas Berbahaya CO Dan CO2 di Lingkungan Industri. E-Journal Teknik Elektro dan Komputer, pp. 2301-8402 .
[6] Novriyenni & Diky Hamdani (2017). Implementasi Motode Fuzzy Sugeno pada Pengendalian Exhoust Fan Sebagai Pembersih dan Pengatur Udara. Jurnal MEANS (Media Informasi Analisa dan Sistem), 2(2), 88 – 92.
[7] Organisasi Kesehatan Dunia (2020). "Constitution of the World Health Organization". Basic Documents (PDF) (edisi ke-49). Jenewa: Organisasi Kesehatan Dunia. hlm. 1. ISBN 978-92-4-000051-3.
[8] Peraturan Menteri Tenaga Kerja Dan Transmigrasi Republik Indonesia Nomor 13/MEN/X/2011 tentang Nilai Ambang Batas (NAB) Faktor Fisika dan Faktor Kimia Hal 1-40.
[9] T.Sutojo,T, dkk. 2011.Kecerdasan Buatan. Yogyakarta: CV.Andi OFFSET.
[10] Utomo, B, T, Wahjo dan Saputra, D, Setya. 2016. Simulasi Sistem Pendeteksi Polusi Ruangan Menggunakan Sensor Asap Dengan Pemberitahuan Melalui SMS (Short Message Service ) Dan Alarm Berbasis Arduino. Jurnal Ilmiah Teknologi dan Informasia ASIA (JITIKA) Vol.10, No.1, Februari 2016 ISSN: 0852-730X