Pengenalan Masker Wajah Menggunakan VGG-16 dan Multilayer Perceptron

Authors

  • Khairul Fadhli Margolang Universitas Potensi Utama
  • Sugeng Riyadi Universitas Potensi Utama
  • Rika Rosnelly Universitas Potensi Utama
  • Wanayumini - Universitas Potensi Utama

DOI:

https://doi.org/10.61769/jurtel.v17i2.519

Keywords:

ReLu, Adam, VGG 16, multilayer perceptron, transfer learning

Abstract

The use of face masks during the Covid-19 pandemic can be identified based on images taken of a person's face and then classified based on the results of their feature extraction. VGG 16 is a pre-trained CNN model that can extract 4,096 features from an image and transfer learning to the multilayer perceptron algorithm in classifying someone using a face mask. The results of this study indicate that the combination of ReLu activation with adaptive moment optimization (Adam) and stochastic gradient descent (SGD), the combination of ReLu and Adam, produces the best classification performance with accuracy, precision, and recall values of 98.1%.  Penggunaan masker wajah pada masa pandemi Covid-19 dapat diidentifikasi berdasarkan citra yang diambil dari wajah seseorang kemudian diklasifikasi berdasarkan hasil ekstraksi fiturnya. VGG 16 merupakan sebuah pre-trained CNN model yang dapat mengekstrak 4.096 fitur dari sebuah citra dan melakukan transfer learning kepada algoritme multilayer perceptron dalam mengklasifikasikan seseorang menggunakan masker wajah atau tidak. Hasil dari penelitian ini menunjukkan bahwa kombinasi aktivasi ReLu dengan optimasi adaptive moment (Adam) dan stochastic gradient descent (SGD), kombinasi ReLu dan Adam, menghasilkan performa klasifikasi terbaik dengan nilai accuracy, precision, dan recall sebesar 98,1%.

Author Biographies

Khairul Fadhli Margolang, Universitas Potensi Utama

Program Magister Ilmu Komputer

Sugeng Riyadi, Universitas Potensi Utama

Program Magister Ilmu Komputer

Rika Rosnelly, Universitas Potensi Utama

Program Magister Ilmu Komputer

Wanayumini -, Universitas Potensi Utama

Program Magister Ilmu Komputer

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Published

2023-02-17

Issue

Section

Articles