Journal of Creative Student Research
Vol. 1 No. 6 (2023): Desember : Journal of Creative Student Research

Pengenalan Ekspresi Wajah Menggunakan Convolutional Neural Network (CNN)

Richard Steven Immanuel Sihombing (Universitas Negeri Medan)
Rafif Nauval Tuah Siregar (Universitas Negeri Medan)
Vijay Sitorus (Universitas Negeri Medan)
Timotius Selar Sitompul (Universitas Negeri Medan)

Article Info

Publish Date
05 Dec 2023

Abstract

Facial expression recognition is an important research area in the advancement of machine learning. This research uses Convolutional Neural Network (CNN) as a method for recognizing facial expressions with a fairly high level of accuracy. This research uses a dataset obtained from Kaggle in the form of images of facial expressions, including surprised, happy, sad, afraid, angry and neutral. The MobilenetV2 CNN model was trained and tested using this dataset. The research results show that the model is able to recognize facial expressions with 78% accuracy on test data. It can be concluded that the MobilenetV2 model is quite capable of recognizing facial expressions.

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Journal Info
Journal of Creative Student Research
Website

Abbrev

jcsr

Publisher

Politeknik Pratama Purwokerto

Subject

Humanities Decision Sciences, Operations Research & Management Education Languange, Linguistic, Communication & Media Social Sciences Transportation

Description

Ilmu Sosial,Ilmu Ekonomi,Akuntansi,Manajemen,Kebudayaan,Pendidikan,Sejarah,Pariwisata,Gender,Humaniora,Seni Budaya Linguistik,Sastra,Filsafat,Studi Agama,Studi Media dan Komunikasi,Berbagai bidang penelitian yang ...