Revolusi Pengelolaan Alcoholism: Sistem Monitoring Berbasis Internet of Things untuk Kadar Alkohol pada Minuman Berkaleng

Deosa Putra Caniago; Luki  Hernando

doi:10.37859/coscitech.v4i2.5085

Deosa Putra Caniago Institut Teknologi Batam
Luki Hernando Institut Teknologi Batam

https://doi.org/10.37859/coscitech.v4i2.5085

Keywords: Keywords: alcoholism, bot telegram, canned beverages, internet of things, TGS822 sensor

Abstract

In recent years, canned beverages have become popular among the public, offering a variety of flavors and attractive designs. However, it is important to note that canned drinks are not limited to non-alcoholic beverages but also include alcoholic beverages. Unfortunately, many consumers are unaware of the presence of alcohol in canned drinks in general. Excessive or uncontrolled consumption of alcoholic beverages can lead to various health and social problems. This research aims to assist the general public in determining the alcohol content in canned drinks by using an alcohol content detection system designed using the TGS822 sensor. The alcohol content in canned beverages will be monitored and reported through the Internet of Things (IoT). Based on alcohol content testing, Group A has an alcohol concentration of 1-5%, Group B has an alcohol concentration of 5-20%, and Group C has an alcohol concentration of 20-55%. This sensor is capable of detecting the presence of alcohol through the TGS822 sensor and reporting it through the IoT network using a Telegram bot application.

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