Measurement of Mask Effectiveness Using a Microcontroller-Based Carbon Monoxide (CO) Detector in Conventional Cigarette Smoke and Electric Cigarettes

Authors

  • Safira Adinda Rachmadinasya University of Muhammadiyah Prof. Dr. HAMKA
  • Kun Fayakun University of Muhammadiyah Prof. Dr. HAMKA
  • Emilia Roza University of Muhammadiyah Prof. Dr. HAMKA

DOI:

https://doi.org/10.22236/ate.v3i1.12401

Keywords:

Masks, Conventional Cigarettes, E-cigarettes, MQ-7, ATmega328.

Abstract

Smoking is a habit that is harmful to the body. Cigarette smoke contains carbon monoxide, which can cause disease if inhaled by active or passive smokers. One effort to minimize this is to wear a mask to protect the mouth and nose. This research was conducted to measure the transmittance and absorbance of carbon monoxide from conventional cigarette smoke and electric cigarettes in different types of masks on the market by utilizing the MQ-7 sensor as a carbon monoxide detector and an Arduino UNO equipped with an ATmega328 microcontroller as the main module. Based on the research results, the type of mask that has the ability to absorb carbon monoxide from conventional cigarette smoke or electric cigarette smoke is the KN95 mask, with an average absorbance of 27.24%.

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Author Biographies

Safira Adinda Rachmadinasya, University of Muhammadiyah Prof. Dr. HAMKA

Safira Adinda Rachmadinasya comes from the Electrical Engineering Study Program, Faculty of Industrial and Informatics Technology, University of Muhammadiyah Prof. Dr. Hamka, class of 2019. The field of research being pursued is Microcontroller-Based Instrumentation.

Kun Fayakun, University of Muhammadiyah Prof. Dr. HAMKA

Kun Fayakun is a Lecturer at the Faculty of Industrial and Informatics Technology, University of Muhammadiyah Prof. Dr. Hamka.

Emilia Roza, University of Muhammadiyah Prof. Dr. HAMKA

Emilia Roza is a Lecturer at the Faculty of Industrial and Informatics Technology, University of Muhammadiyah Prof. Dr. Hamka.

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Published

2023-08-07