Article Per Year (5 Year)
p-Index From 2020 - 2025
0.23
P-Index
This Author published in this journals
All Journal Journal of System and Computer Engineering
-, Suharni -
Unknown Affiliation
Computer Science & IT Decision Sciences, Operations Research & Management

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

Found 1 Documents
Search

 1 
Facial Expression Recognition of Al-Qur'an Memorization Students Using Convolutional Neural Network Perdana, Ayu Lestari; -, Suharni -
Journal of System and Computer Engineering Vol 6 No 1 (2025): JSCE: January 2025
Publisher : Universitas Pancasakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61628/jsce.v6i1.1559

Abstract

Facial expression recognition technology has advanced significantly and has become an intriguing topic of study. This research focuses on the facial expressions of Al-Qur’an memorization students, which naturally reveal various aspects of their engagement, understanding, and emotional barriers about the verses being memorized. The issue is that facial expression recognition still lacks optimal accuracy, and the need for a better algorithmic model to improve accuracy is evident. Therefore, an intelligent computing system is required to address this problem. This study aims to enhance the accuracy of facial expression recognition in Al-Qur’an memorization students using the Convolutional Neural Network (CNN) method, classifying facial expressions such as happy, neutral, and tired based on collected facial image data, achieving improved accuracy. The first stage involves capturing image data via CCTV, followed by preprocessing, training the CNN model, result analysis, and model evaluation. By using the CNN method to recognize the facial expressions of Al-Qur’an memorization students, a high accuracy of 84% was achieved with a loss value of 14.9.
Co-Authors Perdana, Ayu Lestari