IMPLEMENTATION OF FACE SIMILARITY USING TINY FACE DETECTOR

The development of cloud technology and Software As A Services (SaaS) applications is happening very expeditiously. Many applications are currently used by users using cloud technology, including the Human Resources (HR) application. The problem arising from cloud-based HR applications is regarding...

Full description

Bibliographic Details
Main Authors: Mohammad Kasyful Anwar, Diky Firdaus
Format: Article
Language:English
Published: STMIK Pringsewu 2020-04-01
Series:IJISCS (International Journal of Information System and Computer Science)
Subjects:
Online Access:http://ojs.stmikpringsewu.ac.id/index.php/ijiscs/article/view/856
id doaj-b303c4e3240943b39621c615a3cc85c1
record_format Article
spelling doaj-b303c4e3240943b39621c615a3cc85c12020-11-25T01:40:38ZengSTMIK PringsewuIJISCS (International Journal of Information System and Computer Science) 2598-07932598-246X2020-04-01412228749IMPLEMENTATION OF FACE SIMILARITY USING TINY FACE DETECTORMohammad Kasyful Anwar0Diky Firdaus1Department of Informatics, Faculty of Computer Science, Universitas Mercu Buana, JakartaDepartment of Informatics, Faculty of Computer Science, Universitas Mercu Buana, JakartaThe development of cloud technology and Software As A Services (SaaS) applications is happening very expeditiously. Many applications are currently used by users using cloud technology, including the Human Resources (HR) application. The problem arising from cloud-based HR applications is regarding the issue of validity, especially when doing attendance so that it cannot be entrusted or represented by others. In this paper, it is explained how to maintain the validity of attendance in cloud-based HR applications by looking at the level of face similarity using tiny face detector.http://ojs.stmikpringsewu.ac.id/index.php/ijiscs/article/view/856face similarity, face detector, cloud computing, saas, hr application
collection DOAJ
language English
format Article
sources DOAJ
author Mohammad Kasyful Anwar
Diky Firdaus
spellingShingle Mohammad Kasyful Anwar
Diky Firdaus
IMPLEMENTATION OF FACE SIMILARITY USING TINY FACE DETECTOR
IJISCS (International Journal of Information System and Computer Science)
face similarity, face detector, cloud computing, saas, hr application
author_facet Mohammad Kasyful Anwar
Diky Firdaus
author_sort Mohammad Kasyful Anwar
title IMPLEMENTATION OF FACE SIMILARITY USING TINY FACE DETECTOR
title_short IMPLEMENTATION OF FACE SIMILARITY USING TINY FACE DETECTOR
title_full IMPLEMENTATION OF FACE SIMILARITY USING TINY FACE DETECTOR
title_fullStr IMPLEMENTATION OF FACE SIMILARITY USING TINY FACE DETECTOR
title_full_unstemmed IMPLEMENTATION OF FACE SIMILARITY USING TINY FACE DETECTOR
title_sort implementation of face similarity using tiny face detector
publisher STMIK Pringsewu
series IJISCS (International Journal of Information System and Computer Science)
issn 2598-0793
2598-246X
publishDate 2020-04-01
description The development of cloud technology and Software As A Services (SaaS) applications is happening very expeditiously. Many applications are currently used by users using cloud technology, including the Human Resources (HR) application. The problem arising from cloud-based HR applications is regarding the issue of validity, especially when doing attendance so that it cannot be entrusted or represented by others. In this paper, it is explained how to maintain the validity of attendance in cloud-based HR applications by looking at the level of face similarity using tiny face detector.
topic face similarity, face detector, cloud computing, saas, hr application
url http://ojs.stmikpringsewu.ac.id/index.php/ijiscs/article/view/856
work_keys_str_mv AT mohammadkasyfulanwar implementationoffacesimilarityusingtinyfacedetector
AT dikyfirdaus implementationoffacesimilarityusingtinyfacedetector
_version_ 1725044518921699328