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Mask Detection App Uses Haar Cascade and Convolutional Neural Network to Alert Comply with Health Protocols Cahya Rahmad; Nurfaidah Nurfaidah; Supriatna Adhisuwignjo; Mamluatul Hani’ah
Applied Information System and Management (AISM) Vol. 6 No. 2 (2023): Applied Information System and Management (AISM)
Publisher : Depart. of Information Systems, FST, UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/aism.v6i2.31396

Abstract

This study aims to identify the face of a person whether wearing a mask or not wearing a mask accompanied by an appeal to the importance of wearing a mask. The contribution of this paper to science is to provide an overview of the results of accuracy, precision, recall used by the method used with data that can be accessed by many people, so that it can be developed further or can be compared. This system uses two techniques, namely the classification of whether a person is wearing a mask or not using the Convolutional Neural Network (CNN) model. The architecture used is DenseNet-12 to detect human face objects. The data used has a total of 2332 data sets, 200 of which were retrieved manually as research objects, and the rest were obtained from Kaggle. All data is evaluated using the camera in real-time. The test results show that testing scenario one has the highest score with an accuracy of 85% while testing scenario two gets results of 80%, the precision value in testing scenario one gets results of 75%, and testing scenario two has results of 88%. Scenarios 1 and 2 also have the same recall value of 100%. Based on the data analysis, it can be concluded that the use of the Haar Cascade approach and the Convolutional Neural Network with the DenseNet-121 architecture produces good performance in the case of real-time detection of masked and non-masked facial objects.
Co-Authors Achmad Aly Abdulloh Adhisuwignjo, Supriatna Aflah, Darin Zahira Agus Zainal Arifin Agus Zainal Arifin Ahmadi Yuli Ananta Alif Akbar Fitrawan Alif Akbar Fitrawan, Alif Akbar Annisa Puspa Kirana Annisa Puspa Kirana Ariadi Retno Tri Hayati Ririd Arie Rachmad Syulistyo Arwin Datumaya Wahyudi Sumari Aryo Harto Aryo Harto Astrifidha Rahma Amalia Aziza, Nadia Layra Budi Harijanto, Budi Budiprasetyo, Gunawan Cahya Rahmad Candra Bella Vista Chastine Fatichah Christian Sri Kusuma Aditya Christian Sri Kusuma Aditya Christian Sri kusuma Aditya, Christian Sri kusuma Darin Zahira Aflah Deasy Sandhya E.I. Diana Purwitasari Diana Purwitasari Diana Purwitasari Dika Rizky Yunianto Dikky Rahmad Shafara Dwi Puspitasari Gunawan Budiprasetyo Hayati, Ariadi Retno Iftitah Hidayati Ika Kusumaning Putri Ika Kusumaning Putri Ilham Sinatrio Gumelar Imam Fahrur Rozi Imam Fahrur Rozi Irfan Thalib Alfarid Irsyad Arif Mashudi Komalasari, Nita Kusumaning, Ika Luqman Affandi Luqman Affandi M. Hasyim Ratsanjani M. Latifur Rahman Maulidia, Irma Moch Zawaruddin Abdullah Mochammad Hairullah Muhammad Afif Hendrawan Nita Komalasari Ni’ma Shoumi, Milyun Noprianto Noprianto Nurfaidah Nurfaidah Pratama, Muhammad Irgy Rahman, Muhammad Arif Rakhmat Arianto Rokhimatul Wakhidah Septianda Reza Maulana Sofyan Noor Arief Syafaat Akbar Syafaat Akbar Triana Fatmawati Umi Laili Yuhana Vipkas Al Hadid Firdaus Vivi Nur Wijayaningrum Wilda Imama Sabilla Yan Watequlis Syaifudin Yogi Kurniaawan Yogi Kurniaawan, Yogi Yogi Kurniawan Yogi Kurniawan Yoppy Yunhasnawa