Article Per Year (5 Year)
p-Index From 2020 - 2025
0.23
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This Author published in this journals
All Journal The IJICS (International Journal of Informatics and Computer Science)
Nurul Akbar Tanjung
Perbanas Institute, Jakarta
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

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Face Recognition using Webcam with K Nearest Neighbors Algorithm for Employee Presence Nurul Akbar Tanjung; Sanwani Sanwani
The IJICS (International Journal of Informatics and Computer Science) Vol 5, No 3 (2021): November 2021
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/ijics.v5i3.3529

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
Co-Authors Sanwani Sanwani