<![CDATA[In order to find out the alcohol content in drinks circulating in the community, measurements and tests are usually carried out in the laboratory. This takes quite a long time. To solve this problem, we need a tool that can measure alcohol quickly and accurately. This research aims to design and manufacture a detector for the percentage of alcohol content, especially in drinks, using an IoT (Internet of Thing)-based MQ3 sensor as a monitoring system that is connected directly to a smartphone. The method used in this research is PID (Proportional Integral Derivative). By setting the PID tuning with a value of kp=4, ki=3, kd=0.0001 and a setpoint of 210 is used to produce an optimal reading of the alcohol content in the drink. Readings using PID control have an average error value of 1.26%, otherwise without using PID control, the average error value is 8.12%. In order to see the alcohol content of the experimental results of the type of drink detected, it will be displayed on the blynk application on the smartphone.]]>
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