Article Per Year (5 Year)
p-Index From 2021 - 2026
2.147
P-Index
This Author published in this journals
All Journal Jurnal Promosi Pendidikan Ekonomi Jurnal Proyek Teknik Sipil Dinasti International Journal of Economics, Finance & Accounting (DIJEFA) Yumary: Jurnal Pengabdian kepada Masyarakat Brilliance: Research of Artificial Intelligence Informatics and Enginering Dedication Journal Of Human And Education (JAHE) Journal of Management and Digital Business Publikasi Riset Mahasiswa Manajemen Jurnal Ilmiah MEA (Manajemen, Ekonomi, dan Akuntansi) Journal of Mutidisciplinary Issues MDP Student Conference International Journal of Application on Economics and Business
Nicholas, Nicholas
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Social Sciences Other

Published : 14 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : Brilliance: Research of Artificial Intelligence

 1 
Facial Recognition Software for Employee Presence Using Convolutional Neural Network with InceptionV3 Architecture Nicholas, Nicholas; Al Rivan, Muhammad Ezar
Brilliance: Research of Artificial Intelligence Vol. 5 No. 2 (2025): Brilliance: Research of Artificial Intelligence, Article Research November 2025
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v5i2.6769

Abstract

Presence is a crucial aspect of human resource management that involves recording and monitoring employee attendance. It serves not only for tracking presence but also as the foundation for salary calculation, performance evaluation, and strategic decision-making. While many companies still adopt manual presence systems due to their simplicity, such methods are inefficient, prone to human error, and burdensome in administrative tasks, especially in the presence of growing operational complexity. Moreover, even digital systems like fingerprint scanners are often inflexible, as they require physical presence at designated devices, making them unsuitable for remote or mobile employees. This research developed an Android-based presence application utilizing facial recognition technology with the Convolutional Neural Network method using the InceptionV3 architecture. The system is designed to enable automatic, flexible, and accurate attendance recording both inside and outside the workplace. A website-based system has also been developed for centralized attendance data management. Implementation results show that the Android-based application successfully enables employees to perform attendance both inside and outside the office using facial recognition technology, eliminating the need for manual documentation. Additionally, the web-based system can automatically record and summarize attendance data, simplifying recapitulation processes and reducing administrative workload. The facial recognition model, trained using gradual transfer learning, achieved an accuracy of 97.86% and F1-Score of 97.55%. This application has significant potential to improve the efficiency and flexibility of corporate attendance systems.
Co-Authors Anjang Nugroho, Anjang Antonio, Jason Ariyanto, Hepy Hefri Butarbutar, Hotni Mutiara Calvin Calvin Candra candra Centrico, Centrico Chandra, Kelvin William Christina Christina Drice, Eric Ekadjaja, Margarita Elizabeth, Sri Megawati Fransisca, Violin Fransiska Soejono Hakim, Cristine Mulia Hartati, Ery Irawan, Anthony Joscelin, Joscelin Kusmawati, Kusmawati Larissa, Jesslyn Lee, Jenny Leo, Leo Liu, Lisa Carline M Ezar Al Rivan Marpaung, Rumintar J.H Putra Darmansius, Albertus Dwi Andhika Putra, Edy Yulianto Qadri, Rizni Aulia Sakana, Fayat Sasongko, Randie Stelyven, Stelyven Susanti, Oktris Sutojo, Albert Sutomo, Rudi Tang, Jeffen Tanuwijaya, Netanya Deecy Thimothy, Thimothy Wijaya, Andreas Yang, Jenny Yani, Pitri Yuki, Narumi Yuliana Yuliana