PENDETEKSIAN PEMAKAIAN MASKER WAJAH MENGGUNAKAN CONVOLUTIONAL NEURAL NETWORK

NOUVAL, REZKY FACHRI and Samsuryadi, Samsuryadi and Rizqie, M. Qurhanul (2023) PENDETEKSIAN PEMAKAIAN MASKER WAJAH MENGGUNAKAN CONVOLUTIONAL NEURAL NETWORK. Undergraduate thesis, Sriwijaya University.

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Abstract

Pemakaian masker merupakan salah satu langkah untuk mencegah penyebaran suatu penyakit. Pemakaian masker tersebut berdasarkan kebutuhan, seperti sedang sakit, sedang melakukan kontak dekat dengan orang yang terinfeksi penyakit menular. Pemakaian masker ini dianjurkan di tempat-tempat tertentu seperti UGD, rumah sakit, dan KRL. Deteksi pemakaian masker wajah dapat dilakukan dengan mendeteksikan gambar orang yang menggunakan atau tidak menggunakan masker. Salah satu cara untuk mendeteksi citra orang dengan atau tanpa masker adalah menggunakan metode Convolutional Neural Network (CNN). CNN merupakan salah satu algoritma deep learning yang memiliki performa yang baik dalam deteksi citra. Hasil model alexnet memiliki akurasi 0.98, presisi 0.98, dan recall 0.98. Penelitian ini membuktikan bahwa Metode CNN dapat menghasilkan akurasi, presisi, dan recall yang tinggi dalam mendeteksi penggunaan masker.

Item Type: Thesis (Undergraduate)
Uncontrolled Keywords: pendeteksian masker wajah, computer vision, Convolutional Neural Network(CNN)
Subjects: T Technology > T Technology (General) > T1-995 Technology (General)
Divisions: 09-Faculty of Computer Science > 55201-Informatics (S1)
Depositing User: Rezky Fachri Nouval
Date Deposited: 04 Aug 2023 07:21
Last Modified: 04 Aug 2023 07:21
URI: http://repository.unsri.ac.id/id/eprint/125794

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