Design of a Portable Carbon Monoxide (CO) Detection Device Utilizing MQ-7 Sensor for Health Monitoring in Care Rooms

Authors

  • Dea Calista Politeknik Negeri Ujung Pandang
  • Henra Jasman Politeknik Negeri Ujung Pandang
  • Andarini Asri Politeknik Negeri Ujung Pandang
  • Fitriani Politeknik Negeri Ujung Pandang

DOI:

https://doi.org/10.31963/elekterika.v22i2.5812

Keywords:

Portable; Carbon Monoxide; Detector MQ-7

Abstract

Carbon monoxide (CO) is a colorless and odorless toxic gas that can be harmful to health if inhaled in high concentrations. This research aims to design and build a portable CO detection device for use in treatment rooms. This device utilizes an MQ-7 sensor, which has high sensitivity to carbon monoxide (CO) gas, and an Arduino microcontroller to process data from the sensor and display the detection results on an LCD screen. The research method includes electronic circuit design, sensor testing on various cigarette samples, and analysis of CO gas detection results. The test results indicate that this device can detect CO gas concentrations with high accuracy, with the highest average value recorded in 1st cigarette samples at 44.6 ppm. This device is designed with an intuitive user interface, allowing medical personnel to efficiently monitor air quality in treatment rooms. This tool prototype shows satisfactory results as a mitigation step against CO gas exposure in healthcare settings.

References

[1] A. Majstorović, V. Babić, and M. Todić, “Carbon monoxide in the process of uncontrolled combustion - Occurrence, hazards and first aid,” J. Phys. Conf. Ser., vol. 1426, no. 1, 2020, doi: 10.1088/1742-6596/1426/1/012008.

[2] R. D. Kusumawardani, S. Suhartono, and B. Budiyono, “Keberadaan Perokok dalam Rumah sebagai Faktor Risiko Kejadian Pneumonia pada Anak: Suatu Kajian Sistematik,” J. Kesehat. Lingkung. Indones., vol. 19, no. 2, pp. 152–159, 2020, doi: 10.14710/jkli.19.2.152-159.

[3] M. D. Puspitasari and R. F. Arifa, “Progress in Reducing Indoor Tobacco Smoke Pollution Toward the Establishment of Kabupaten/Kota Layak Anak: Evidence From the 2012 and 2017 Indonesia Demographic and Health Surveys,” J. Bina Praja, vol. 15, no. 1, pp. 193–206, Apr. 2023, doi: 10.21787/jbp.15.2023.193-206.

[4] E. Kozlova, A. Chernysh, A. Kozlov, V. Sergunova, and E. Sherstyukova, “Assessment of carboxyhemoglobin content in the blood with high accuracy: wavelength range optimization for nonlinear curve fitting of optical spectra,” Heliyon, vol. 6, no. 8, p. e04622, 2020, doi: 10.1016/j.heliyon.2020.e04622.

[5] D. et al. H, Kurniawan, “Rancang Bangun Sistem Pendeteksi Dan Monitoring Banjir,” Coding J. Komput. dan Apl. UNTAN, vol. 07, no. 01, pp. 11–22, 2019.

[6] A. B. Laksono and A. Bachri, “Detektor Otomatis Gas Karbon Monoksida dan Gas Benzene pada Ruangan Tertutup Berbasis ATMega328,” J. Tek. Elektro dan Komput. TRIAC, vol. 10, no. 2, pp. 65–68, 2023, doi: 10.21107/triac.v10i2.20987.

[7] M. Yusro et al., “CODS: Carbon Monoxide Pollution Detection and Monitoring System Based on The Internet of Things Towards Urban Health Enhancement,” TEM J., vol. 13, no. 3, pp. 2603–2614, 2024, doi: 10.18421/TEM133-85.

[8] M. Lestari, N. Upik, and Fianti, “EFEKTIVITAS PENGGUNAAN SENSOR MQ-7 TERINTEGRASI APLIKASI BLYNK UNTUK MENDETEKSI KEBERADAAN GAS CO DI UDARA The,” Int. J. Intellect. Discourse, vol. 39, no. 8, pp. 102–111, 2021.

[9] O. Setyawati, S. Iswanjaya, Z. Abidin, and A. Bahr, “Simple and Cost-Effective Detection of Carbon Monoxide Gas,” J. Inf. Technol. Comput. Sci., vol. 9, no. 1, pp. 1–11, 2024, doi: 10.25126/jitecs.202491567.

[10] I. M. Zaqi, - Yohandri, - Yulkifli, and N. Yendri Sudiar, “Carbon Monoxide Measuring System using MQ-7 Sensor with Cloud Storage,” Pillar Phys., vol. 16, no. 2, pp. 89–98, 2023, doi: 10.24036/13451171074.

[11] L. R. S. D. Rathnayake, G. B. Sakura, N. A. Weerasekara, and P. D. Sandaruwan, “Machine Learning-based Calibration Approach for Low-cost Air Pollution Sensors MQ-7 and MQ-131,” Nat. Environ. Pollut. Technol., vol. 23, no. 1, pp. 401–408, 2024, doi: 10.46488/NEPT.2024.v23i01.034.

Downloads

Published

2025-11-30

Issue

Section

Articles