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All Journal JPPM (Jurnal Pengabdian dan Pemberdayaan Masyarakat) Journal of Informatics and Data Science (J-IDS)
Karimuddin Hakim Hasibuan
Universitas Negeri Medan
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Environmental Science Public Health Social Sciences

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Detection of Participants Facial Expressions in Video Conference Using Convolutional Neural Network Algorithm Karimuddin Hakim Hasibuan; Hermawan Syahputra
Journal of Informatics and Data Science Vol 2, No 2 (2023): November
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/j-ids.v2i2.49060

Abstract

Purpose: The purpose of this research is to develop an architecture based on the Convolutional Neural Network (CNN) algorithm to detect facial expressions during video conferences. The goal is to address the problem of understanding participants' emotions and expressions during online video conferencing sessions. The aim is to create a system that can analyze facial expressions in images and determine the corresponding emotions.Methods/Study design/approach: Data was collected by capturing facial expression images from 10 students using a webcam. Preprocessing techniques, such as cropping, converting images to grayscale, and data augmentation, were applied to ensure data variation. The CNN model was trained using the processed data and evaluated using test data (a subset of the dataset), new data (external data) and video conference recording. Result/Findings: The CNN model achieved a high training accuracy of 97.5% using an image size of 128x128 and 2000 epochs. The model architecture consists of 2 Conv2D layers, 3 BatchNormalization layers, 2 MaxPooling layers, 2 dropout layers, 1 flat layer, 1 dense layer, and 1 output layer. When tested on facial expression data, the model achieved with 97,5% accuracy on the training data and 93,33% accuracy on the test data. The model was also able to detect the facial expressions of participants in the video conference. Novelty/Originality/Value: The novelty of this research lies in developing a CNN-based system to detect facial expressions in video conferences by analyzing facial images. This approach addresses the challenge of understanding participants' emotions and expressions during online video conferencing sessions, which can contribute to better communication and interaction among participants.
Al-Mate: Solusi Pembelajaran Matematika SMP Swasta Jambi Medan di Masa Pandemi Fitri Aulia; Karimuddin Hakim Hasibuan; Jeremia Manurung; Pittauli Ambarita; Azqal Azkia; Kana Saputra S
JPPM (Jurnal Pengabdian dan Pemberdayaan Masyarakat) VOL. 7 NOMOR 2 SEPTEMBER 2023 JPPM (Jurnal Pengabdian dan Pemberdayaan Masyarakat)
Publisher : Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/jppm.v7i2.11477

Abstract

Kesulitan guru SMP Swasta Jambi Medan dalam mengajarkan materi matematika kepada siswa disebabkan keterbatasan media pembelajaran yang mengakibatkan terjadinya miskonsepsi pada siswa. Hal ini menjadi faktor munculnya kebutuhan terhadap media pembelajaran digital yang dapat memberikan visualisasi yang menarik dan mudah dipahami siswa, namun sekolah maupun guru belum memiliki media pembelajaran yang sesuai dengan kebutuhan. Melalui program ini, Tim PKM-PM menawarkan solusi kepada mitra untuk mengatasi kesulitan pada saat mengajarkan materi matematika berupa produk bernama AL-MATE (Model Pembelajaran Matematika di Masa Pandemi Berbasis Virtual Web). Program tersebut terlaksana melalui beberapa kegiatan maupun persiapan yang bertujuan untuk mengoptimalkan media pembelajaran dalam proses pembelajaran matematika. Metode yang dilakukan dalam kegiatan ini terdiri atas beberapa tahap, yaitu analisis awal, perancangan, produksi, evaluasi dan diseminasi. Hasil dari kegiatan ini yang pertama adalah produk AL-MATE yang terdiri dari LMS (Learning Management System) SMP Swasta Jambi Medan, Virtual Web AL-MATE, dan buku panduan penggunaan AL-MATE. Kedua, buku pedoman yang dirancang untuk memperkenalkan AL-MATE dan member petunjuk cara penggunaannya. Ketiga, video pelaksanaan yang dirancang untuk menampilkan produk dan seluruh kegiatan tim selama menjalankan program. Produk AL-MATE berpotensi untuk menjadi media pembelajaran digital yang dapat digunakan secara luas, memperoleh hak paten, dan sarana pelatihan teknis kepada mitra.
Co-Authors Azqal Azkia Fitri Aulia Hermawan Syahputra Jeremia Manurung Kana Saputra S Pittauli Ambarita