Authors :
Ahmad Cahyono Adi; Dyan Puji Lestari; Elsa; Fiqrudina Sain Saputri; Yohanes Sabui
Volume/Issue :
Volume 7 - 2022, Issue 2 - February
Google Scholar :
http://bitly.ws/gu88
Scribd :
https://bit.ly/344Fnha
DOI :
https://doi.org/10.5281/zenodo.6321487
Abstract :
Since 2019, there has been a new virus that has
changed the world order. This outbreak was named the
Covid-19 pandemic and was caused by a virus called the
corona virus or severe acute respiratory syndrome
coronavirus 2 (SARS-CoV-2). The virus has been detected
in Indonesia since early March 2020, and until now it has
not been well resolved, even though a vaccine has been
found (Kemenkes RI, 2020). In fact, recently the Omicron
variant caused by SARS-CoV-2 B.1.1.529 was reported to
have begun to be detected in Indonesia after positive cases
of the corona virus began to subside (Ministry of Health of
the Republic of Indonesia, 2021). Wearing a mask is one of
the most effective ways to prevent the spread of the corona
virus. Based on data from the Covid-19 Handling Task
Force (2021) on the behavior of wearing masks in 2021,
there are 76-90% of Indonesians who comply. The
percentage of people who comply with wearing masks seen
from the data is quite high, unfortunately the data was
taken only by monitoring about 4 million Indonesians. In
fact, the number of Indonesian people far exceeds that
number. In addition, monitoring that cannot be carried
out at any time makes this effort less effective. The above
problems encourage the creation of innovative products
that can help provide effective solutions, namely the Face
Recognition application which can detect whether a person
is wearing a mask or not in certain places. This application
is one of the Deep Learning methods , namely
Convolutional Neural Network (CNN) and Transfer
Learning . The results of this study are CNN's modeling to
classify mask users and the interface design of the
application.
Keywords :
COVID-19; Convolutional Neural Networks; Masks; Transfer Learning
Since 2019, there has been a new virus that has
changed the world order. This outbreak was named the
Covid-19 pandemic and was caused by a virus called the
corona virus or severe acute respiratory syndrome
coronavirus 2 (SARS-CoV-2). The virus has been detected
in Indonesia since early March 2020, and until now it has
not been well resolved, even though a vaccine has been
found (Kemenkes RI, 2020). In fact, recently the Omicron
variant caused by SARS-CoV-2 B.1.1.529 was reported to
have begun to be detected in Indonesia after positive cases
of the corona virus began to subside (Ministry of Health of
the Republic of Indonesia, 2021). Wearing a mask is one of
the most effective ways to prevent the spread of the corona
virus. Based on data from the Covid-19 Handling Task
Force (2021) on the behavior of wearing masks in 2021,
there are 76-90% of Indonesians who comply. The
percentage of people who comply with wearing masks seen
from the data is quite high, unfortunately the data was
taken only by monitoring about 4 million Indonesians. In
fact, the number of Indonesian people far exceeds that
number. In addition, monitoring that cannot be carried
out at any time makes this effort less effective. The above
problems encourage the creation of innovative products
that can help provide effective solutions, namely the Face
Recognition application which can detect whether a person
is wearing a mask or not in certain places. This application
is one of the Deep Learning methods , namely
Convolutional Neural Network (CNN) and Transfer
Learning . The results of this study are CNN's modeling to
classify mask users and the interface design of the
application.
Keywords :
COVID-19; Convolutional Neural Networks; Masks; Transfer Learning
