JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING
Vol 5, No 2 (2022): Issues January 2022

Analysis Of Deep Learning Architecture In Classifying SNI Masks

Fauzan Nurahmadi (Universitas Sumatera Utara)
Fahrurrozi Lubis (Universitas Sumatera Utara)
Pauzi Ibrahim Nainggolan (Universitas Sumatera Utara)



Article Info

Publish Date
26 Jan 2022

Abstract

In preparing for the new normal for COVID-19, every government agency, school and university will be required to comply with new regulations by the government, in which the government will oblige everyone who does activities outside the home to wear masks and practice physical distancing. This is one of the new habits that the government will familiarize with starting in 2020. Due to the ease with which the Covid-19 virus spreads. So the selection of a good mask is recommended good mask, namely a mask that follows the recommendations of the WHO at least 3 layers. The purpose of this study was to classify the types of SNI and non-SNI masks so that the presence of this SNI mask cluster monitoring system could improve security at locations that apply the use of masks and the masks used can function effectively to prevent the spread and spread of Covid-19, classification of research models it uses the InceptionV3, Resnet50, InceptionV2, AlexNet and DenseNet architectures. The results of trials that have been carried out by the InceptionV3 architecture have the most optimal accuracy with loss values of 3.4889 and 0.9894 (98.94%).

Copyrights © 2022






Journal Info

Abbrev

jite

Publisher

Subject

Computer Science & IT Engineering

Description

JURNAL TEKNIK INFORMATIKA, JITE (Journal of Informatics and Telecommunication Engineering) is a journal that contains articles / publications and research results of scientific work related to the field of science of Informatics Engineering such as Software Engineering, Database, Data Mining, ...