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Vol. 7 No. 3 (2026) • Articles
Open Access

Perancangan Sistem Deteksi Wajah Real-Time Menggunakan Convolutional Neural Network pada Perangkat Komputer Desktop

Virgiawan Restu Pratama
Universitas Sains dan Teknologi Komputer
Dani Sasmoko
Universitas Sains dan Teknologi Komputer
Toni Wijanarko Adi Putra
Universitas Sains dan Teknologi Komputer
Published: September 10, 2026 Pages: 388-400
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Abstract

This research aims to design and implement a real-time face detection system use a Convolutional Neural Network (CNN) on a desktop computer. The research consisted of data preprocesing, collection, model training, and performance evaluation. The dataset contained 200 facial images, which were resized to 224 ×is 224 pixels, normalized, and divided into training and testing sets. The model was developed using TensorFlow, Keras, and OpenCV, and evaluated use confusion matrix based on precision, accuracy, recall, and F1-score. The research results is that the proposed model can detect and recognize faces effectively, as demonstrated by an accuracy value of 97.22%, along with recall, precision, and F1-score values of 97%.  The implementation of Batch Normalization and Dropout improved training stability and enhanced the model's generalization capability. These findings indicate that the CNN -based approach is effective for real-time face detection on desktop computer systems.

Keywords:
CNN Face Detection Real-Time Desktop Computer Deep Learning
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Author Biographies
Virgiawan Restu Pratama Universitas Sains dan Teknologi Komputer

Program Studi Sistem Komputer, Fakultas Akademik, Universitas Sains dan Teknologi Komputer, Kota Semarang, Provinsi Jawa Tengah, Indonesia

Dani Sasmoko Universitas Sains dan Teknologi Komputer

Program Studi Sistem Komputer, Fakultas Akademik, Universitas Sains dan Teknologi Komputer, Kota Semarang, Provinsi Jawa Tengah, Indonesia

Toni Wijanarko Adi Putra Universitas Sains dan Teknologi Komputer

Program Studi Teknik Informatika, Fakultas Akademik, Universitas Sains dan Teknologi Komputer, Kota Semarang, Provinsi Jawa Tengah, Indonesia

How to Cite
Pratama, V. R., Sasmoko, D., & Putra, T. W. A. (2026). Perancangan Sistem Deteksi Wajah Real-Time Menggunakan Convolutional Neural Network pada Perangkat Komputer Desktop. Jurnal Indonesia : Manajemen Informatika Dan Komunikasi, 7(3), 388-400. https://doi.org/10.63447/jimik.v7i3.1982
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