Penggunaan IoT dan Metode Fuzzy Dalam Sistem Monitoring Emisi CO NH3 dan NO2 Pada Sektor Pertanian

Muhammad Syarif, Januriansyah (2023) Penggunaan IoT dan Metode Fuzzy Dalam Sistem Monitoring Emisi CO NH3 dan NO2 Pada Sektor Pertanian. Undergraduate thesis, Politeknik Negeri Jember.

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Abstract

Air pollution due to human activities is increasing and has a negative impact on human life and other living things. One sector that contributes to increasing levels of air pollution is the agricultural sector. Agricultural activities produce gas emissions such as carbon monoxide (CO), ammonia (NH3), and nitrogen dioxide (NO2) through processes such as rice cultivation, use of urea, use of lime, and burning of biomass. The agricultural sector globally contributes around 14% to greenhouse gas emissions, and nationally contributes 7%. To solve this air pollution problem, effective prevention measures are needed. Therefore, this study aims to develop an Internet of Things (IoT)-based air pollution monitoring system in the agricultural sector that can detect CO, NH3, and NO2 gases. The fuzzy method will be used in this system to determine the category of air quality levels on agricultural land. The results of testing the use of the Tsukamoto fuzzy method in this study obtained an accuracy rate of 99.864%.

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