Heydar Emir Alvaro, . (2025) ANALISIS MODEL PROTOTYPE PRESENSI BERBASIS FACE RECOGNITION SECARA REALTIME DENGAN MENGGUNAKAN OPENCV DAN MTCNN. Skripsi thesis, Universitas Pembangunan Nasional Veteran Jakarta.
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Abstract
Digital transformation has driven significant changes in educational administration systems, including the student attendance process at Universitas Pembangunan Nasional Veteran Jakarta (UPNVJ). Manual attendance methods are still in use, but they have many drawbacks such as susceptibility to manipulation, time consumption, and inefficiency in attendance data management. This study proposes a solution in the form of an automatic attendance system based on facial recognition using the Multi-Task Cascaded Convolutional Neural Network (MTCNN) algorithm integrated with OpenCV. MTCNN is used for facial cropping and Region of Interest (ROI) determination, while the K-Nearest Neighbors (KNN) algorithm is employed as the training method to build a model capable of accurately recognizing faces. The resulting model functions as a facial verification system, which is then integrated into the LEADS website prototype as a web based attendance platform. The system is developed as an efficient, scalable web application that supports real-time data processing, thereby enabling faster student attendance verification without compromising accuracy. Survey results indicate that the majority of students support the implementation of this technology to enhance the effectiveness and efficiency of academic activities. The proposed system is expected to improve attendance data accuracy, save time and resources, and enhance transparency within the academic environment.
| Item Type: | Thesis (Skripsi) |
|---|---|
| Additional Information: | [No.Panggil: 2110511150] [Pembimbing: Didit Widyanto] [Pembimbing: Muhammad Adrezo] [Penguji 1: Ridwan Raafi’udin] [Penguji 2: Radinal Setyadinsa] |
| Uncontrolled Keywords: | Automatic Attendance, Facial Recognition, MTCNN, K-Nearest Neighbors (KNN), OpenCV, LEADS, Facial Verification, System Efficiency. |
| Subjects: | L Education > LG Individual institutions (Asia. Africa) T Technology > T Technology (General) |
| Divisions: | Fakultas Ilmu Komputer > Program Studi Informatika (S1) |
| Depositing User: | HEYDAR EMIR ALVARO |
| Date Deposited: | 05 Aug 2025 07:16 |
| Last Modified: | 05 Aug 2025 07:16 |
| URI: | http://repository.upnvj.ac.id/id/eprint/37242 |
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