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Authors: Muhammad Rafi Muttaqin 1 ; Anshorulloh Nur Aziz 1 ; Dede Irmayanti 1 and  Sumanto 2

Affiliations: 1 Informatics Engineering Study Program, Wastukancana College of Technology, Purwakarta, Indonesia ; 2 Universitas Bina Sarana Informatika, Jakarta, Indonesia

Keyword(s): Face Recognition, MobileNet V2, Attendance.

Abstract: Face recognition is a field of research that is widely used to solve various problems, but to apply face recognition requires high accuracy so that there are no errors in the system that applies face recognition. The purpose of this research is how to use one of the architectures of the Convolutional Neural Network (CNN), namely MobileNet v2 to perform the task of face recognition of STT Wastukancana lecturers. The data used is taken from the social media of each lecturer, data sharing is done with the K-Fold Cross Validation method. MobileNet v2 architecture will perform classification tasks using different hyperparameter values to find the best performance. From various patterns, the best accuracy is 85dropout of 0.3 to reduce overfitting. Data sharing using K-Fold Cross Validation provides results that improve accuracy. The addition of a dropout layer reduces overfitting of the model.

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Paper citation in several formats:
Rafi Muttaqin, M. ; Aziz, A. ; Irmayanti, D. and Sumanto. (2024). Convolutional Neural Network Face Recognition for Lecturer Attendance. In Proceedings of the 3rd International Conference on Advanced Information Scientific Development - ICAISD; ISBN 978-989-758-678-1, SciTePress, pages 255-261. DOI: 10.5220/0012447800003848

@conference{icaisd24,
author={Muhammad {Rafi Muttaqin} and Anshorulloh Nur Aziz and Dede Irmayanti and Sumanto},
title={Convolutional Neural Network Face Recognition for Lecturer Attendance},
booktitle={Proceedings of the 3rd International Conference on Advanced Information Scientific Development - ICAISD},
year={2024},
pages={255-261},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012447800003848},
isbn={978-989-758-678-1},
}

TY - CONF

JO - Proceedings of the 3rd International Conference on Advanced Information Scientific Development - ICAISD
TI - Convolutional Neural Network Face Recognition for Lecturer Attendance
SN - 978-989-758-678-1
AU - Rafi Muttaqin, M.
AU - Aziz, A.
AU - Irmayanti, D.
AU - Sumanto.
PY - 2024
SP - 255
EP - 261
DO - 10.5220/0012447800003848
PB - SciTePress

- Science and Technology Publications, Lda.
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