SISTEM PENDETEKSI WAJAH BERMASKER SECARA REAL TIME MENGGUNAKAN METODE CNN

Abstract
In this study, a masked face detection system using the Convolutional Neural Network (CNN) method was tested. System testing was carried out to determine the success of the CNN method on a masked face detection system in real time if the mouth and nose parts of the face are not covered or covered by a mask or by anything other than a mask. This research was divided into 3 stages, namely dataset training, face detection, and testing in real time with various facial positions. This system successfully detects whether a face is masked or not in the dataset model with an accuracy of 99%. In real time, this system has succeeded in detecting well at various positions of facial appearance and on faces that are covered by a mask or hand on the nose and mouth.
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How to Cite

Nurul Adhayanti, et al. (2023). SISTEM PENDETEKSI WAJAH BERMASKER SECARA REAL TIME MENGGUNAKAN METODE CNN. Jurnal Ilmiah Teknik (JUIT), 2(1). https://doi.org/10.56127/juit.v2i1.475

Nurul Adhayanti; Fathan Triyanto Nugroho; Romdhoni Susiloatmadja, "SISTEM PENDETEKSI WAJAH BERMASKER SECARA REAL TIME MENGGUNAKAN METODE CNN," Jurnal Ilmiah Teknik (JUIT), vol. 2, no. 1, 2023.

Nurul Adhayanti; Fathan Triyanto Nugroho; Romdhoni Susiloatmadja. "SISTEM PENDETEKSI WAJAH BERMASKER SECARA REAL TIME MENGGUNAKAN METODE CNN." Jurnal Ilmiah Teknik (JUIT), vol. 2, no. 1, 2023.

Nurul Adhayanti; Fathan Triyanto Nugroho; Romdhoni Susiloatmadja. "SISTEM PENDETEKSI WAJAH BERMASKER SECARA REAL TIME MENGGUNAKAN METODE CNN." Jurnal Ilmiah Teknik (JUIT) 2, no. 1 (2023).

Nurul Adhayanti, et al. (2023) 'SISTEM PENDETEKSI WAJAH BERMASKER SECARA REAL TIME MENGGUNAKAN METODE CNN', Jurnal Ilmiah Teknik (JUIT), 2(1). doi: 10.56127/juit.v2i1.475.

Nurul Adhayanti; Fathan Triyanto Nugroho; Romdhoni Susiloatmadja. SISTEM PENDETEKSI WAJAH BERMASKER SECARA REAL TIME MENGGUNAKAN METODE CNN. Jurnal Ilmiah Teknik (JUIT). 2023;2(1).

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