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Alcohol (ethanol) is often used in food as a mixture to improve flavor or durability, but alcohol consumption can have adverse health effects and trigger psychoactive effects. This research aims to design a tool to detect alcohol content in food using Internet of Things (IoT) technology. This device is designed to be portable, uses MQ-3 gas sensor to detect alcohol content, and is equipped with a Web Server-based data storage system. In addition to alcohol content, this tool is also able to detect the humidity of food samples. The detection results are displayed in real-time through a digital interface, so users can easily access and analyze the data. With this system, it is expected that the public can more easily ensure the safety and halalness of the food consumed. The tool function test obtained the results of the tool working properly, then the tool suitability test using 95% and 70% pure alcohol, obtained results of 90% for 95% alcohol and 72% for 70% alcohol. and finally the suitability test using three food samples, with the results of 40% (food containing alcohol), 6% (food containing hidden alcohol), and 0% (food free of alcohol content).

Article history: Received 30 Mei 2020 Received in revised form 2 Juni 2020 Accepted 10 Juni 2020 Available online 12 Juni 2020 ABSTRACT Alcohol is the common name for organic compounds that have a hydroxyl group attached to carbon and hydrogen atoms. The alcohol that is commonly found in liquor is ethyl alcohol or it is also called ethanol, but it is usually referred to as alcohol alone. Drinks with an alcohol content of 40% can lose consciousness, leading to accidents for alcohol-affected drivers. To detect alcohol in the body using an alcohol tester. Researchers tried to make a measuring instrument for alcohol levels in the body using several components such as Arduino nano, MQ 3 sensor, OLED, charger module, battery, resistor, push button, and buzzer. The design of a portable alcohol level detector through breath can work well, namely the results of the reading of alcohol levels in the body by the MQ-3 sensor through the breath and displayed on the Oled Display in units of% BAC (Blood Alcohol Concentration), in the sample comparison of the alcohol level reading between Final project tool with a comparison tool alcohol tester obtained the percentage difference in an average of 0.01% BAC. Keywords: Alcohol, Arduino Pro Micro, MQ-3 Sensor, OLED, Charger Module, Battery, Resistor, Push Button, and Buzzer