Muhammad Fajar Fathurrohman, Azwar Mudzakkir Ridwan, Aan Eko Setiawan, Nurul Fahmi Arief Hakim, Mariya Al Qibtiya, Silmi Ath Thahirah Al Azhima
There is growing concern about the health and safety implications of alcohol consumption. Having a reliable system to detect alcohol in various settings, including food and beverages, is crucial. Implementing an alcohol detection system can help uphold regulatory standards, prevent accidents, and promote responsible consumption. It is important to verify alcohol levels in food and drinks to ensure safety, regulatory compliance, and meet consumer expectations. The need for alcohol checks may vary depending on specific circumstances. In this article, a tool is developed to detect alcohol levels in both food and beverages. The alcohol level detector is constructed using the MQ-3 sensor, which has the capability to detect alcohol concentrations ranging from 0.05 mg/L to 10 mg/L. The sensor employs SnO2 as its sensitive material, exhibiting low conductivity in clean air. The integration of the MQ-3 sensor with an Arduino microcontroller facilitates the functioning of the alcohol level detector. The obtained results from the alcohol level detector indicate its ability to detect the alcohol content in beverages with an average error ranging from 0.67% to 2%. On the other hand, the alcohol content in the tested food items showed variations. The lowest alcohol content was found in durian at 4.34%, followed by cassava tapai at 8.04%, and tapai sticky rice at 10.14%. © 2025 Author(s).
Dept. of Electrical Engineering, UIN Sunan Gunung Djati Bandung, Bandung, Indonesia; Dept. of Electrical Eng. Education, Universitas Pendidikan Indonesia, Bandung, Indonesia
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