Face Recognition using Webcam with K Nearest Neighbors Algorithm for Employee Presence

  • Tanjung N
  • Sanwani S
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Abstract

Attendance is an activity to store data related to employee attendance. Therefore, it is necessary to have a presence with a biometric identification system such as facial identification so that the presence can run quickly and at a low cost. Attendance system helps employees and companies to run attendance faster and cheaper. The K Nearest Neighbor algorithm has a function as a classification algorithm in machine learning. The K value which is the highest accuracy by reaching 100% is 4 people with the determination of K equal to 3

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APA

Tanjung, N. A., & Sanwani, S. (2021). Face Recognition using Webcam with K Nearest Neighbors Algorithm for Employee Presence. The IJICS (International Journal of Informatics and Computer Science), 5(3), 353. https://doi.org/10.30865/ijics.v5i3.3529

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