Article Per Year (5 Year)
p-Index From 2021 - 2026
1.658
P-Index
This Author published in this journals
All Journal ComEngApp : Computer Engineering and Applications Journal Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Indonesian Journal of Artificial Intelligence and Data Mining Jurnal Teknologi Informasi dan Pendidikan
Prihatini, Ekawati
Unknown Affiliation
Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering

Published : 11 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 11 Documents
Search

 1   2 
Facial Expression Detection of Autism Children Using ResNet-50 in Convolutional Neural Network Algorithm Prihatini, Ekawati; Muslimin, Selamat; Darmawan, Muhammad Rizki
Indonesian Journal of Artificial Intelligence and Data Mining Vol 8, No 3 (2025): November 2025
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/ijaidm.v8i3.37755

Abstract

Facial expression detection in children with autism presents unique challenges due to limitations in verbal communication and social responses. This study develops a Convolutional Neural Network (CNN) model using the ResNet-50 architecture to improve the recognition accuracy of five expression categories: angry, fear, sad, neutral, and happy. A dataset of 3,030 images was divided into training and testing sets (60:40), with data augmentation and hyperparameter tuning applied using the Adam optimizer. The model achieved 89% validation accuracy and 84.49% testing accuracy, along with 86.78% precision and 80.69% recall. Evaluation on 25 test images showed an 84% success rate. These results indicate that ResNet‑50 effectively extracts facial features and classifies expressions with high accuracy, demonstrating potential as a communication aid in autism therapy. Future improvements include adding more diverse training data and optimizing model parameters.
Co-Authors Ade Silvia Handayani Caesandra, Wahyu Darmawan, Muhammad Rizki Faisal Damsi, Faisal Hadi, Kurnia Irdayanti, Yeni Marniati, Yessi Martin, Tri Muslimin, Selamat Nyayu Latifah Husni, Nyayu Latifah Rafly, Muhammad Ramadhan, M. Daffa Susanto, Naziatul Husna Thoriq, Noval Al Ulandari, Monica