Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal Jurnal Satya Informatika
Rajagukguk, Ronaldo P
Unknown Affiliation
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Library & Information Science Social Sciences Other

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
PENGEMBANGAN PROTOTYPE SISTEM PENGENALAN WAJAH REAL-TIME BERBASIS PYTHON DAN OPENCV Rajagukguk, Ronaldo P; Siahaan, Edison P; Sitorus, Berlin P
JURNAL SATYA INFORMATIKA Vol. 10 No. 2 (2025): JURNAL SATYA INFORMATIKA
Publisher : FAKULTAS TEKNIK

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59134/jsk.v10i2.747

Abstract

Attendance is one of the important aspects in managing the presence of employees and students. Manual or card-based attendance methods still have several weaknesses, such as being prone to manipulation, requiring more time, and lacking efficiency. Therefore, this study develops a prototype of a real-time face recognition-based attendance system using Python and OpenCV. The research method applied is Prototyping, consisting of stages of requirement analysis, system design,implementation, and testing. The system is designed using the Haar Cascade algorithm for face detection and Local Binary Pattern Histogram (LBPH) for face recognition. The database uses SQLite with three main tables: users, positions, and attendance. The system was tested using four face datasets with a total of approximately 400 images, namely from users: Ronaldo, Lisra, Juliardo, and Riswanti. The test results show that the system can detect and recognize users' faces in real-time, automatically record attendance, and generate daily, monthly, and individual attendance reports.
Co-Authors Siahaan, Edison P Sitorus, Berlin P