Ronggo Sadewo
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Perancangan Aplikasi Presensi Berbasis Website Menggunakan Algoritma Convolutional Neural Network (CNN) Pada SMKN 4 Bekasi Ronggo Sadewo; Andy Achmad Hendharsetiawan
Journal of Informatic and Information Security Vol. 4 No. 2 (2023): Desember 2023
Publisher : Program Studi Informatika, Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/p1t41v15

Abstract

This research designs and implements a web-based attendance application using the Convolutional Neural Network (CNN) algorithm at SMK Negeri 4 Bekasi. The aim is to address common issues in manual attendance processes, namely, lack of efficiency and accuracy. The methods employed include designing a responsive website interface, implementing the CNN algorithm for facial recognition, and configuring an efficient data management system. Evaluation encompasses attendance accuracy, operational efficiency, and application responsiveness in real-world school environments. The research findings indicate that the web-based attendance application utilizing the CNN algorithm offers an effective solution for attendance recording at SMK Negeri 4 Bekasi.