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All Journal Jurnal Rekayasa Sistem Industri Jurnal Transformatika JUITA : Jurnal Informatika Journal of Information Systems Engineering and Business Intelligence Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) RABIT: Jurnal Teknologi dan Sistem Informasi Univrab Jurnal Studi Manajemen dan Bisnis JURNAL MEDIA INFORMATIKA BUDIDARMA JRST (Jurnal Riset Sains dan Teknologi) JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI JURIKOM (Jurnal Riset Komputer) Logista: Jurnal Ilmiah Pengabdian Kepada Masyarakat Jurnal Riset Informatika Abdimas Umtas : Jurnal Pengabdian kepada Masyarakat Jurnal Manajemen Informatika dan Sistem Informasi REMIK : Riset dan E-Jurnal Manajemen Informatika Komputer Jurnal E-Komtek Jurnal Manajemen Bisnis Madani : Indonesian Journal of Civil Society Jurnal Graha Pengabdian Teknika JURPIKAT (Jurnal Pengabdian Kepada Masyarakat) Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) ICTEE (Engineering Journals of Information, control, telecommunication and electrical) Jurnal Indonesia : Manajemen Informatika dan Komunikasi Journal of Dinda : Data Science, Information Technology, and Data Analytics eProceedings of Management El-Mujtama: Jurnal Pengabdian Masyarakat Jurnal Indonesia : Manajemen Informatika dan Komunikasi
Diovianto Putra Rakhmadani
Institut Teknologi Telkom, Purwokerto
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Journal : JUITA : Jurnal Informatika

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A Deep Learning Using DenseNet201 to Detect Masked or Non-masked Face Faisal Dharma Adhinata; Diovianto Putra Rakhmadani; Merlinda Wibowo; Akhmad Jayadi
JUITA : Jurnal Informatika JUITA Vol. 9 No. 1, May 2021
Publisher : Department of Informatics Engineering, Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1047.417 KB) | DOI: 10.30595/juita.v9i1.9624

Abstract

The use of masks on the face in public places is an obligation for everyone because of the Covid-19 pandemic, which claims victims. Indonesia made 3M policies, one of which is to use masks to prevent coronavirus transmission. Currently, several researchers have developed a masked or non-masked face detection system. One of them is using deep learning techniques to classify a masked or non-masked face. Previous research used the MobileNetV2 transfer learning model, which resulted in an F-Measure value below 0.9. Of course, this result made the detection system not accurate enough. In this research, we propose a model with more parameters, namely the DenseNet201 model. The number of parameters of the DenseNet201 model is five times more than that of the MobileNetV2 model. The results obtained from several up to 30 epochs show that the DenseNet201 model produces 99% accuracy when training data. Then, we tested the matching feature on video data, the DenseNet201 model produced an F-Measure value of 0.98, while the MobileNetV2 model only produced an F-measure value of 0.67. These results prove the masked or non-masked face detection system is more accurate using the DenseNet201 model.
Co-Authors Ade Novita, Rizka Ajeng Fitria Rahmawati Akhmad Jayadi Alika, Shintia Dwi Alon Jala Tirta Segara Annisa Nurul Jannah Ariq Cahya Wardhana Aswan Munang Bagus Bayu Sasongko Condro Kartiko Darmansah Dayal Gustopo Setiadjit Denny Purnomo Dian Fikri Risqiana Dewi Dianti, Ine Luna Dwi Januarita Ardianing Kusuma Faisal Dharma Adhinata Fajar Malik Famila Dwi Winati Febry Ardiansyah Fikri Hidayat, Ahmad Gita Fadila Ftiriana Gladi Pawestri Utami Hasada Satria Putra Pratama Hikmah Safitri Hillal Al Rosyid I Putu Restu Indriawan Irwan Susanto Jahfal Rizqi Putra Pradhana Juni Aditya Hidayatullah Luthfi Zian Nasifah Luthfi Zian Nasifah Maliana Puspa Arum Manda Rahmat Husein Lubis Manda Rahmat Husein Lubis Mellinevia Mahera Merlinda Wibowo Metha Khafifah Isty Rikhanah Muhamad Azrino Gustalika Muhammad Arif Bastari Muhammad Eka Purbaya Nabila, Viryal Nasution, Annio Indah Lestari Nur Ghaniaviyanto Ramadhan Prasetyo Yuliantoro Putra, Yudithia Dian Renna Nur Injiyani Rizki Herdianto, Adrian Rizq Athallah Puddin Soetam Rizky Wicaksono Tenia Wahyuningrum Tsabitatul Iffah Van Marsally, Silvia Viryal Nabila Wijayanto, Danur Yuda Satria, Mario Yudha Riswandha, Oksa Zanuar Rahmat Saputra