PEMBUATAN SISTEM ALARM KEBAKARAN UNTUK MEMADAMKAN API DAN PENDETEKSI GAS BERBASIS ARDUINO UNO

Authors

  • Nur Anisa Dewi Universitas Harapan Medan
  • Arnes Sembiring universitas Harapan Medan
  • Kalvin Chiuloto Universitas Harapan Medan

DOI:

https://doi.org/10.46880/mtk.v8i1.920

Keywords:

Fire, Arduino Uno, MQ-2 Gas Sensor, Fire Sensor, Buzzer, Mini Water Pump

Abstract

The house number becomes the index or identity of house, because every house in a neighborhood has a different number. To find a house number for humans is very easy, but it becomes difficult when the computer is doing it all. Artificial Neural Network (ANN) is a branching science of artificial intelligence. Artificial intelligence (AI) and Convolutional Neural Network (CNN) is one of the branches of ANN. The data was processed in the form of images sourced from the udfdl.stanford.edu page with a total of 73.257 training data and 26.032 testing data. The data is preprocessed and processed using CNN so that the house number in each image will be automatically tested try the result will appear.

References

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Published

10-03-2022

How to Cite

[1]
Nur Anisa Dewi, A. . Sembiring, and Kalvin Chiuloto, “PEMBUATAN SISTEM ALARM KEBAKARAN UNTUK MEMADAMKAN API DAN PENDETEKSI GAS BERBASIS ARDUINO UNO ”, METHODIKA, vol. 8, no. 1, pp. 22–27, Mar. 2022.

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Section

Articles