Staff attendance system using RFID

Attendance system University Tun Hussien Onn Malaysia is the system to record, and monitor the staff attendance to the daily work. This project is to design develop and implement attendance system using radio frequency identification technology. This technology is divided into two types which are sy...

Full description

Saved in:
Bibliographic Details
Main Authors: Abdul Razak, Muhammad Thariq, Chuah, Chai Wen
Format: Article
Language:English
Published: JOIV 2017
Subjects:
Online Access:http://eprints.uthm.edu.my/4818/1/AJ%202017%20%28661%29.pdf
http://eprints.uthm.edu.my/4818/
https://dx.doi.org/10.30630/joiv.1.4-2.73
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Universiti Tun Hussein Onn Malaysia
Language: English
id my.uthm.eprints.4818
record_format eprints
spelling my.uthm.eprints.48182021-12-20T03:43:17Z http://eprints.uthm.edu.my/4818/ Staff attendance system using RFID Abdul Razak, Muhammad Thariq Chuah, Chai Wen T Technology (General) TK7800-8360 Electronics Attendance system University Tun Hussien Onn Malaysia is the system to record, and monitor the staff attendance to the daily work. This project is to design develop and implement attendance system using radio frequency identification technology. This technology is divided into two types which are system passive and system active. The proposed system used the system passive to record staff attendance. Frequency identification technology will read the staffs tag and the attendance are recorded automatically and store it in database. The proposed system has several securities feature that can prevent security breaches which is captcha and audit trail. The advantage of proposed system is can differentiate between the human input and robot input and record all the user activity when access to the system. JOIV 2017 Article PeerReviewed text en http://eprints.uthm.edu.my/4818/1/AJ%202017%20%28661%29.pdf Abdul Razak, Muhammad Thariq and Chuah, Chai Wen (2017) Staff attendance system using RFID. International Journal on Informatics Visualization, 1 (4-2). pp. 250-255. ISSN 2549-9610 https://dx.doi.org/10.30630/joiv.1.4-2.73
institution Universiti Tun Hussein Onn Malaysia
building UTHM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tun Hussein Onn Malaysia
content_source UTHM Institutional Repository
url_provider http://eprints.uthm.edu.my/
language English
topic T Technology (General)
TK7800-8360 Electronics
spellingShingle T Technology (General)
TK7800-8360 Electronics
Abdul Razak, Muhammad Thariq
Chuah, Chai Wen
Staff attendance system using RFID
description Attendance system University Tun Hussien Onn Malaysia is the system to record, and monitor the staff attendance to the daily work. This project is to design develop and implement attendance system using radio frequency identification technology. This technology is divided into two types which are system passive and system active. The proposed system used the system passive to record staff attendance. Frequency identification technology will read the staffs tag and the attendance are recorded automatically and store it in database. The proposed system has several securities feature that can prevent security breaches which is captcha and audit trail. The advantage of proposed system is can differentiate between the human input and robot input and record all the user activity when access to the system.
format Article
author Abdul Razak, Muhammad Thariq
Chuah, Chai Wen
author_facet Abdul Razak, Muhammad Thariq
Chuah, Chai Wen
author_sort Abdul Razak, Muhammad Thariq
title Staff attendance system using RFID
title_short Staff attendance system using RFID
title_full Staff attendance system using RFID
title_fullStr Staff attendance system using RFID
title_full_unstemmed Staff attendance system using RFID
title_sort staff attendance system using rfid
publisher JOIV
publishDate 2017
url http://eprints.uthm.edu.my/4818/1/AJ%202017%20%28661%29.pdf
http://eprints.uthm.edu.my/4818/
https://dx.doi.org/10.30630/joiv.1.4-2.73
_version_ 1738581302557278208