Sistem Presensi Menggunakan Pengenalan Wajah
DOI:
https://doi.org/10.29407/s90fhx11Keywords:
Biometrics, DWT, Ekstraksi Ciri, PCA, Pengenalan WajahAbstract
Presensi memiliki peran penting dalam administrasi akademik maupun dunia kerja. Metode presensi manual seperti tanda tangan, kartu identitas, atau barcode masih menghadapi persoalan seperti kecurangan, ketidakakuratan pencatatan, dan rendahnya efisiensi operasional. Penelitian ini mengembangkan sistem presensi berbasis pengenalan wajah menggunakan kombinasi Discrete Wavelet Transform (DWT) dan Principal Component Analysis (PCA) sebagai metode ekstraksi ciri. DWT digunakan untuk melakukan dekomposisi multiresolusi sehingga informasi tekstur wajah dapat dipertahankan, sementara PCA mereduksi dimensi fitur untuk meningkatkan kecepatan komputasi. Sistem kemudian melakukan klasifikasi wajah untuk verifikasi kehadiran dan mencatatnya ke dalam basis data secara otomatis. Hasil pengujian menunjukkan akurasi sebesar 100.00% dan rata-rata waktu deteksi 4 detik. Pendekatan ini terbukti efektif mengurangi potensi kecurangan serta meningkatkan efisiensi proses presensi.
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