Implementasi Program Presensi Mahasiswa Dengan Menggunakan Face Recognition

Authors

  • Richard Lawrence Thiosdor Program Studi Informatika
  • Kartika Gunadi Program Studi Informatika
  • Lily Puspa Dewi Program Studi Informatika

Keywords:

Kualitas makanan, Proses, Harga, Kepuasan Konsumen.

Abstract

The problem of using a physical attendance list causes a cheat where the student does “fake attendance” by asking another students to sign the attendance list on his/her behalf. This problems are often found in college activities.

Detection of student faces uses the Face Recognition library as a mean of validation in the attendance check process. Face recognition requires face images that have been preprocessed and uses the K-Nearest Neighbor model (KNN) or Support Vector Machine (SVM) to validate student faces in the attendance check process.

Testing on 15 sample face images with 40 total face classes yields an average accuracy of 99%. Face Recognition cannot detect faces if the facial features are obstructed. This validation of student attendance successfully uses Face Recognition to minimize cheating in taking attendance.

References

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[4] Mohammed, K., Tolba, A. S., & Elmogy, M. 2018. Multimodal student attendance management system (MSAMS). Ain Shams Engineering Journal, 9(4), 2917–2929. DOI= https://doi.org/10.1016/j.asej.2018.08.002.

[5] Singh, S., & Prasad, S. V. A. V. 2018. Techniques and Challenges of Face Recognition: A Critical Review. Procedia Computer Science, 143, 536–543. DOI= https://doi.org/10.1016/j.procs.2018.10.427.

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Published

2021-04-10

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Section

Articles