Abstract
Cigarette is one of the main causes that can cause deadly cardiovascular disease. The 2013 Riskesdas data shows that 85% of Indonesian households are exposed to cigarette smoke. 8 smokers died because active smokers and 1 passive smoker died from exposure to secondhand smoke. The purpose of this study was to design CO gas detection devices in the human body using MQ gas sensors. The design of this tool consists of object testing (smoker), CO gas sensor, and output visualization in the form of indicators. Based on the tests that have been done, it shows that the gas sensor output to gas concentration is linear. Increasing the concentration of gas detected the higher the sensor output voltage. From the sample test as many as 10 people can be predicted that the percentage of smokers both active and moderate is more than not smoking, which is 17.5%.
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