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All Journal Journal of Applied Information, Communication and Technology (JAICT) JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Techno Nusa Mandiri : Journal of Computing and Information Technology JURTEKSI Jurnal Mantik Jurnal Computer Science and Information Technology (CoSciTech) Jurnal Sisfotek Global Jurnal Pemberdayaan Sosial dan Teknologi Masyarakat
Reyhan Achmad Rizal
Universitas Prima Indonesia
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Social Sciences

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Journal : JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING

 1 
Analysis Of Right And Wrong Use Of Mask Based On Deep Learning Rico Wijaya Dewantoro; Sonni Yudha Nugraha Arfan; Reyhan Achmad Rizal
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol 6, No 1 (2022): Issues July 2022
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v6i1.7582

Abstract

Pandemic COVID-19 makes it important to apply the proper and correct use of masks. The correct use of a mask where its use can cover the nose mouth and chin. One of the problems in using masks is that there are still many people who have not used masks properly and correctly. The importance of the correct use of masks because the transmission of the Covid-19 itself does not only occur through splashes when sneezing or coughing between humans but can also occur when talking or breathing by spreading through fluid particles less than 0.0002 inches (5 microns) in diameter called aerosols that are emitted when people talk. From these problems  it is necessary to have a computational-based analysis system to be able to identify patterns and make decisions and perform certain tasks automatically so that the results obtained are more efficient and objective. In this study, a deep learning method with a resnet  50 will be used to obtain the correct and incorrect results of using masks. The results of this study indicate that the deep learning method with resnet 50 is able to achieve 98.41% accuracy in classifying the correct and incorrect use of masks.
Co-Authors Abdi Zulfikri Ajulio Padly Sembiring Amsal Yusuf Gultom Ananda Faridhatul Ulva Ardi Bernandustahi Miduk Napitupulu Asmaul Husna Cut Lika Mestika Sandy Dedy Ongky Wijaya Despaleri Perangin-angin Fadlisyah Fadlisyah Kristina Sinaga Lidya Aprilla Siregar Marlince NK Nababan Muhathir Muhathir Mutammimul Ula Nur Azizah Nurlela Octavia Purba Octavriana Della C. Sihombing Ona Rizal Fahmi Prabhu Warren RICO WIJAYA DEWANTORO Sebastian Suhandinata Sonni Yudha Nugraha Arfan Srinjiwi Srinjiwi Suardin Gulo Taripar Jonibet Siagian Taufik Ismail Simanjuntak