Real-Time Monitoring System for CO Pollutant Concentration Using Fuzzy Logic on an Internet of Things (IoT) Platform and Telegram Around UNNES

The growth of the population and vehicles around the campus of Universitas Negeri Semarang (UNNES) has created new challenges related to traffic congestion and air quality. High traffic density can produce exhaust emissions, especially carbon monoxide (CO). CO is a toxic gas that comes from burning...

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Bibliographic Details
Published in:BIO web of conferences 2024-01, Vol.144, p.03004
Main Authors: Utomo Galih Ridho, Fuedsi Fajar Wahyushi, Hardiyanti Nining, Mustofa Muhammad Hasan, Yuliana Ade
Format: Article
Language:English
Online Access:Get full text
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Summary:The growth of the population and vehicles around the campus of Universitas Negeri Semarang (UNNES) has created new challenges related to traffic congestion and air quality. High traffic density can produce exhaust emissions, especially carbon monoxide (CO). CO is a toxic gas that comes from burning fossil fuels, such as those produced by motor vehicles. Long- term exposure to CO can cause serious health problems, including respiratory problems, cardiovascular disease, and even death. To address these issues, a real-time CO concentration monitoring system is required. However, the current CO concentration monitoring system has limitations in terms of accuracy and precision. The Fuzzy Logic (FL) method offers several advantages, including high accuracy and ease of comprehension. To implement this, research stages are necessary, including tool coding and data analysis using FL. The results of the research indicate that CO levels in each UNNES Faculty are approximately 3-20 ppm, with CO levels stabilising at 6 ppm. Therefore, the CO monitoring system using FL was successfully implemented.
ISSN:2117-4458
DOI:10.1051/bioconf/202414403004