Gas Detection and Classification Using Neural Network Based Gas Sensors
Alcoholic beverages, apart from being haram, also cause loss of consciousness. The influence of alcohol while driving is very dangerous and can result in an accident. For this reason, it is necessary to detect the alcohol content in beverages so that their halal status is known and to avoid the dang...
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Format: | Article |
Language: | English |
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Universitas Syiah Kuala
2023-07-01
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Series: | Jurnal Rekayasa Elektrika |
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Online Access: | https://jurnal.usk.ac.id/JRE/article/view/30974 |
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author | Munaf Ismail Sri Arttini Dwi Prasetyowati |
author_facet | Munaf Ismail Sri Arttini Dwi Prasetyowati |
author_sort | Munaf Ismail |
collection | DOAJ |
description | Alcoholic beverages, apart from being haram, also cause loss of consciousness. The influence of alcohol while driving is very dangerous and can result in an accident. For this reason, it is necessary to detect the alcohol content in beverages so that their halal status is known and to avoid the dangers of consuming alcohol. This research is to detect the aroma of alcohol using the MQ-3 gas sensor, which consists of an aroma sensor in general with an Artificial Neuron Network (ANN), such as the number of neurons, layers, and epoch. Most of the learning schemes require testing to optimize the model structure. For this experiment, ANN is used as a liquid classification in grouping alcoholic and non-alcoholic liquids. The MQ-3 gas sensor successfully reads liquid vapor in alcohol with levels of 30%, 50%, 70%, and other water-based liquids. An artificial neural network with 2 hidden layers, 10 neurons, and 1000 iterations with the sigmoid activation function can approach a regression score of 1.1545 and sq error score of 0.5781. |
first_indexed | 2024-03-12T14:29:43Z |
format | Article |
id | doaj.art-c575826928134260b393f4550187c2e9 |
institution | Directory Open Access Journal |
issn | 1412-4785 2252-620X |
language | English |
last_indexed | 2024-03-12T14:29:43Z |
publishDate | 2023-07-01 |
publisher | Universitas Syiah Kuala |
record_format | Article |
series | Jurnal Rekayasa Elektrika |
spelling | doaj.art-c575826928134260b393f4550187c2e92023-08-17T15:53:13ZengUniversitas Syiah KualaJurnal Rekayasa Elektrika1412-47852252-620X2023-07-0119210.17529/jre.v19i2.3097416451Gas Detection and Classification Using Neural Network Based Gas SensorsMunaf Ismail0Sri Arttini Dwi Prasetyowati1Universitas Islam Sultan AgungUniversitas Islam Sultan AgungAlcoholic beverages, apart from being haram, also cause loss of consciousness. The influence of alcohol while driving is very dangerous and can result in an accident. For this reason, it is necessary to detect the alcohol content in beverages so that their halal status is known and to avoid the dangers of consuming alcohol. This research is to detect the aroma of alcohol using the MQ-3 gas sensor, which consists of an aroma sensor in general with an Artificial Neuron Network (ANN), such as the number of neurons, layers, and epoch. Most of the learning schemes require testing to optimize the model structure. For this experiment, ANN is used as a liquid classification in grouping alcoholic and non-alcoholic liquids. The MQ-3 gas sensor successfully reads liquid vapor in alcohol with levels of 30%, 50%, 70%, and other water-based liquids. An artificial neural network with 2 hidden layers, 10 neurons, and 1000 iterations with the sigmoid activation function can approach a regression score of 1.1545 and sq error score of 0.5781.https://jurnal.usk.ac.id/JRE/article/view/30974alcohol gasgas sensorartificial neuron network |
spellingShingle | Munaf Ismail Sri Arttini Dwi Prasetyowati Gas Detection and Classification Using Neural Network Based Gas Sensors Jurnal Rekayasa Elektrika alcohol gas gas sensor artificial neuron network |
title | Gas Detection and Classification Using Neural Network Based Gas Sensors |
title_full | Gas Detection and Classification Using Neural Network Based Gas Sensors |
title_fullStr | Gas Detection and Classification Using Neural Network Based Gas Sensors |
title_full_unstemmed | Gas Detection and Classification Using Neural Network Based Gas Sensors |
title_short | Gas Detection and Classification Using Neural Network Based Gas Sensors |
title_sort | gas detection and classification using neural network based gas sensors |
topic | alcohol gas gas sensor artificial neuron network |
url | https://jurnal.usk.ac.id/JRE/article/view/30974 |
work_keys_str_mv | AT munafismail gasdetectionandclassificationusingneuralnetworkbasedgassensors AT sriarttinidwiprasetyowati gasdetectionandclassificationusingneuralnetworkbasedgassensors |