PENDETEKSI ALKOHOL PADA CAIRAN MENGGUNAKAN SENSOR MQ-3 BERBASIS IOT (INTERNET OF THINGS)

Izzuddin, Muhammad (2020) PENDETEKSI ALKOHOL PADA CAIRAN MENGGUNAKAN SENSOR MQ-3 BERBASIS IOT (INTERNET OF THINGS). Skripsi thesis, Institut Teknologi Dirgantara Adisutjipto.

[img] Text (ABSTRAK)
13010024_ABSTRAK.pdf

Download (12kB)
[img] Text (BAB I)
13010024_BAB I.pdf

Download (103kB)
[img] Text (DAFTAR PUSTAKA)
13010024_DAFTAR PUSTAKA.pdf

Download (56kB)
[img] Text (FULL SKRIPSI)
13010024 - converted.pdf
Restricted to Repository staff only

Download (2MB)

Abstract

The use of ethanol or alcohol in drinks is well known. Because the amount of alcohol used in beverages is very large, it is not surprising that many news cases of acute or chronic poisoning due to alcohol often occur. For this reason, a device can be used to detect the presence of alcohol in a liquid and display the concentration level of alcohol. Alcohol Detection has been made using IOT-Based MQ-3 Sensor (INTERNET OF THINGS). The MQ-3 sensor detects the presence of alcohol. This tool can be used to determine the alcohol content contained in the liquid which is measured using an MQ-3 sensor. The device that has been made consists of several components, namely the MQ-3 alcohol sensor to detect alcohol content, Arduino Uno, LCD and Esp8266. Arduino as the main control on this tool will process data from the MQ-3 sensor output, then the results will be displayed on the LCD and will also be displayed on the IoT platform using Esp8266. Based on the test results. After testing twice the MQ-3 sensor with the same dose of water and alcohol but using a different container, namely glass and bowl, the average difference in value is 0.12 and the average error is 9%.

Item Type: Thesis (Skripsi)
Subjects: T Technology > T Technology (General)
Divisions: Institut Teknologi Dirgantara Adisujtipto > Teknik Elektro
Depositing User: Mr Muhammad Izzudin
Date Deposited: 30 May 2024 01:46
Last Modified: 30 May 2024 01:46
URI: http://eprints.stta.ac.id/id/eprint/1765

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year