Safira Fegi Nisrina
Widya Husada Semarang University

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Arduino-Based Plasma Filtration System with Real-Time Monitoring for Smoke Removal in Enclosed Rooms Lawrence Adi Supriyono; Safira Fegi Nisrina; Mohammad Alfian Mudzakir; Dwi Setiawan; Jarot Dian Susatyono; Kartiko Eko Putranto
JUKI : Jurnal Komputer dan Informatika Vol. 8 No. 1 (2026): JUKI : Jurnal Komputer dan Informatika, Edisi Mei 2026
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53842/juki.v8i1.2417

Abstract

Indoor air quality degradation due to cigarette smoke exposure reduces oxygen levels and increases carbon monoxide (CO) concentration beyond the safe threshold of 9 ppm. This study develops an Arduino-based plasma filtration system with real-time monitoring for smoke removal in enclosed rooms. The system employs an MQ-7 sensor (CO detection), an MQ-135 sensor (smoke/CO₂ detection), an Arduino Uno R3 as the controller, an exhaust fan (suction capacity of 150 m³/h), and an ignition coil (15 kV output) to generate corona discharge (plasma). Testing was conducted in a 2 m × 3 m × 3 m room (volume 18 m³) using one cigarette as the smoke source. Data were recorded every 30 seconds over 10 minutes. Results show that the proposed system reduces CO concentration from an initial peak of 25 ppm to 8 ppm within 4 minutes, stabilizing at 3 ppm after 10 minutes, achieving an 88% reduction rate. In contrast, the conventional system (20 W electric fan) increased CO concentration to 47 ppm due to smoke dispersion through ventilation openings. The system's response time from smoke detection to filtration activation averages 2.5 seconds. Energy efficiency was recorded at 45 watts during active filtration. The system's success rate in maintaining CO levels below 9 ppm reached 100% after the first 4 minutes. This system proves to be effective, automatic, energy-efficient, and feasible for implementation in various public and private enclosed spaces.