Article Per Year (5 Year)
p-Index From 2020 - 2025
0.444
P-Index
This Author published in this journals
All Journal JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Jurnal Mantik
Fauzan Nurahmadi
Universitas Sumatera Utara
Computer Science & IT Economics, Econometrics & Finance Engineering Languange, Linguistic, Communication & Media

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Analysis Of Deep Learning Architecture In Classifying SNI Masks Fauzan Nurahmadi; Fahrurrozi Lubis; Pauzi Ibrahim Nainggolan
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol 5, No 2 (2022): Issues January 2022
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v5i2.6341

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%).
Enhance Decision Support Systems Method of Measure Student Levels and Attitude Cigarette Danger for Health Based on AHP Fauzan Nurahmadi
Jurnal Mantik Vol. 4 No. 4 (2021): February: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.Vol4.2021.1221.pp2613-2617

Abstract

This paper described about study determining the criteria in determining criteria and alternatives for student level knowledge of the dangers of smoking to health by the use of decision support systems so that it is easier to determine criteria by using selection methods that make it easy to obtain information on a system built to manage data- data so as to make it easy for users and can produce clear and accurate information and can produce reports that are expected to help teachers, and principals in making and making the right decisions later.
Co-Authors Lubis, Fahrurrozi Nainggolan, Pauzi Ibrahim