RingkasanTesis KLASIFIKASI FACE MASK DETECTION MENGGUNAKAN VGG-16 DENGAN TRANSFER LEARNING

RingkasanTesis KLASIFIKASI FACE MASK DETECTION MENGGUNAKAN VGG-16 DENGAN TRANSFER LEARNING

• By Herliawan, Irwan;
• Tesis
• 417

Dunia saat ini sedang mengalami krisis kesehatan karena penyebaran penyakit Corona Virus Disease 2019 (Covid-19). Setiap harinya terjadi peningkatan data yang terpapar Covid-19 termasuk di Indonesia. Jika tidak secepatnya diatasi, hal ini akan mengakibatkan ketidakstabilan perekonomian di sebuah Negara. Virus ini menyerang anggota tubuh yaitu pada saluran pernapasan. Sesuai anjuran dari World Health Organization (WHO), salah satu perlindungan yang efektif adalah memakai masker ketika berada di kantor, sekolah, tempat belanja, rumah sakit dan tempat umum lainnya. Dalam penelitian ini bertujuan untuk membuat model deep learning pada facemask detection dataset menggunakan arsitektur VGG 16 dengan transfer learning. Model tersebut juga diuji dengan tiga optimizer yaitu Root Mean Square Propagation (RMSprop), Adaptive Moment Estimation (Adam) dan Stochastic Gradient Descent (SGD) untuk mengetahui model optimizer mana yang bekerja dengan optimal. Dari hasil penelitian ini, dapat disimpulkan bahwa model VGG 16 dengan transfer learning menggunakan optimizer RMSprop mencapai akurasi tertinggi yaitu 99%. Model ini dapat di implementasikan di area gedung untuk mendeteksi penggunaan masker, sehingga orang yang terdekat atau pihak keamanan dapat menegur orang yang tidak mematuhi peraturan tersebut.

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