MONITORING OF AIR QUALITY USING A FUZZY ALGORITHM

SANJAYA, JEVON (2021) MONITORING OF AIR QUALITY USING A FUZZY ALGORITHM. Other thesis, Universitas Katholik Soegijapranata Semarang.

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Abstract

Air pollution is not a problem that can be underestimated, air pollution has many negative impacts on human life including health. The causes of air pollution are motor vehicle exhaust, industrial waste, and forest fire fumes. The gases contained in air pollution include carbon dioxide, nitrogenoxide, sulfuroxide, chlorofluorocarbons, hydrocarbons. The gas is very dangerous for human health, especially for respiration, humans can be poisoned if they inhale the gas. So this journal was created to detect the quality of the surrounding air whether it is good or dangerous for human health. To solve this problem, a tool is needed to detect the presence of these dangerous gases. By using gas sensors MQ-135, MQ-2, MQ-7, Arduino ATMega 2560 microcontroller and Fuzzy Logic algorithm to determine the output of the 3 gas sensors. The author uses 3 sensors as input (MQ-135, MQ-2, MQ-7) to detect pollutant gases in the surrounding air then the data is processed with fuzzy logic algorithms, as the output is 16x2 LCD, buzzer active, 3 LEDs (red, yellow , green). Tabel Indeks Standard Pencemaran Udara (ISPU) is used as a reference for the air quality threshold in ppm.

Item Type: Thesis (Other)
Subjects: 000 Computer Science, Information and General Works > 004 Data processing & computer science
Divisions: Faculty of Computer Science > Department of Informatics Engineering
Depositing User: mr AM. Pudja Adjie Sudoso
Date Deposited: 14 Oct 2021 06:59
Last Modified: 14 Oct 2021 06:59
URI: http://repository.unika.ac.id/id/eprint/27121

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