SARI, MEGA PUSPITA (2020) Rancang Bangun Sistem Presensi Pegawai PT Supralita Mandiri Berbasis Deteksi Wajah Menggunakan Algoritma Viola Jones. Undergraduate thesis, Universitas Stikubank.
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Abstract
Dalam sistem kehadiran pegawai menggunakan sistem presensi manual membuat staff admin perusahaan kewalahan dalam mengelola data presensi kehadiran pegawai. Sistem presensi kehadiran pegawai secara manual seharusnya dapat diganti dengan suatu sistem kehadiran dengan penggunaan teknologi biometrik. Dalam penelitian ini akan dikembangkan sistem kehadiran pegawai yang didasarkan pada deteksi wajah. Untuk dapat mendeteksi wajah setiap pegawai pada sistem kehadiran ini menggunakan algoritma viola jones yang. Hasil dari penelitian ini yaitu semua fungsi atau fitur dari algoritma viola jones dapat berjalan dengan baik dan sesuai dengan apa yang diharapkan. In the employee attendance system using a manual attendance system makes the company's admin staff overwhelmed in managing employee attendance data. Employee attendance systems manually can be replaced with a attendance system with the use of biometric technology. In this study an employee attendance system will be developed based on face detection. To be able to detect the face of every employee on this attendance system using the viola jones algorithm. The results of this study are all the functions or features of the Viola Jones algorithm can run well and in accordance with what is expected.
| Item Type: | Thesis (Undergraduate) |
|---|---|
| Additional Information: | NIM.15.01.53.0052 SKR.I.05.01.1953 |
| Uncontrolled Keywords: | Computer Vision, Deteksi Wajah, Pengenalan Wajah, Sistem Kehadiran, Viola Jones Computer Vision, Face Detection, Face Recognition, Attendance System, Viola Jones |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Faculty / Institution: | Fakultas Teknologi Informasi > Program Studi Teknik Informatika |
| Depositing User: | H Hayati |
| Date Deposited: | 13 Oct 2020 02:03 |
| Last Modified: | 13 Oct 2020 02:03 |
| URI: | https://eprints.unisbank.ac.id/id/eprint/7217 |
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