Odor Detection with SMS Notification Using Arduino in the Comfort Room of Bestlink College of the Philippines

Vol.3, No.1A

Authors

  • Jerelyn C. Campo Bestlink College of the Philippines
  • Darwin E. Buiza Bestlink College of the Philippines
  • Apple S. Arimbuyutan Bestlink College of the Philippines
  • Rosaly B. Alverne Bestlink College of the Philippines
  • Romer F. Aboliso Bestlink College of the Philippines

Keywords:

Air pollutants, MQ-135, NH4, NH3, Odor, Sensor, Arduino, Ammonia, Bacteria

Abstract

In most comfort rooms in the country, they are sometimes seen as unclean, so they omit foul smells in their surroundings. Odour Detection with SMS Notification using Arduino in the Comfort Room of Bestlink College of the Philippines is a device that can alert or send an SMS to the cleaner if the room is unclean and causes harmful and odorous scent. 

The researchers used surveys to gather data. Twenty respondents (10 students, five janitors, and five staff) participated in the study. The survey statement no. one (1) gets fifty-five per cent (55%) or 4.05 mean with verbal interpretation of frequently observed and statement no. two (2) gets the result of sixty per cent (60%) or 3.3 in mean with a verbal interpretation of sometimes observed that seeks to SOP no. three (3), which means that device can help to the utilities by alerting them in terms of immediate clean in the comfort room. 

Air pollutants are mainly comprised of harmful gases. MQ-135 is a semiconductor base gas sensor capable of detecting such things as NH4, NH3, or ammonia that occur naturally and are produced by human activity. Bacteria found in the intestines can produce this and go through ambient air. 

The researchers found that air pollution is increasing due to the number and monitoring of human activities, which is vital to the relaxation of some measures to control it. The study used a low-cost and low-power sensor to monitor the air quality and alert the utility personnel, especially in the comfort room of Bestlink College of the Philippines.

Published

2024-04-22

How to Cite

Campo, J. C. ., Buiza, D. E. ., Arimbuyutan, A. S. ., Alverne, R. B. ., & Aboliso, R. F. . (2024). Odor Detection with SMS Notification Using Arduino in the Comfort Room of Bestlink College of the Philippines: Vol.3, No.1A. Ascendens Asia Singapore – Bestlink College of the Philippines Journal of Multidisciplinary Research, 3(1A). Retrieved from https://ojs.aaresearchindex.com/index.php/aasgbcpjmra/article/view/12807