Implementation of the internet of things to help public awareness of the importance of using masks

Mubarak, Mohammad Khusnul and Amrozi, Yusuf (2022) Implementation of the internet of things to help public awareness of the importance of using masks. Budapest International Research and Critics Institute - BIRCI-Journal, 5 (1). pp. 7745-7755. ISSN 2615-3076

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Abstract

Coronavirusi deasease 2019 or abbreviated as COVID-19 is an infectious disease that spreads very quickly. COVID-19 is caused by a new type of virus, namely Sars-CoV-2. In the situation of the increasingly widespread COVID-19 virus, many technology-based studies have examined an application to detect mask users to help raise public awareness of the importance of using masks to protect themselves or others. In this study, a prototype windows-based application called mask detector will be developed using the internet of things as an alarm medium, with the python programming language being used for programming languages. In the development of the mask detector prototype, the reference was taken from previous research that used the haar cascade classifier method but had a maximum detection distance of 180 cm. In this study, the main focus is the implementation of a mask detector application prototype that can be used at a distance of more than 180 cm from the user using the deep neural network method. By using the deep neural network method which is accompanied by the implementation of the internet of things, it is hoped that it can become literacy material and can improve some previous research.

Item Type: Article
Creators:
Creators
Email
NIDN
Mubarak, Mohammad Khusnul
khusnulmubar4@gmail.com
UNSPECIFIED
Amrozi, Yusuf
yusuf.amrozi@uinsby.ac.id
yusuf.amrozi@uinsby.ac.id
Uncontrolled Keywords: COVID-19; implementation; internet of things
Subjects: 11 MEDICAL AND HEALTH SCIENCES > 1117 Public Health and Health Services > 111799 Public Health and Health Services not elsewhere classified
Divisions: Fakultas Sains dan Teknologi > Prodi Sistem Infomasi
Depositing User: S.Pd.I Abdun Nashir
Date Deposited: 04 Apr 2022 03:46
Last Modified: 04 Apr 2022 03:46
URI: http://repository.uinsby.ac.id/id/eprint/2268

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