GPS, fingerprint and QR-code based attendance system

GPS, Fingerprint and QR-Code based Attendance System is a combination of GPS module, Fingerprint and QR-code features mobile application which use to take the students’ attendances in class. The system is developed to prevent students cheating on attendances, reduce the time consuming on taking atte...

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Main Author: Lim, Guo Hong
Format: Undergraduates Project Papers
Language:English
Published: 2019
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/27109/
http://umpir.ump.edu.my/id/eprint/27109/
http://umpir.ump.edu.my/id/eprint/27109/1/GPS%2C%20fingerprint%20and%20QR-code%20based%20attendance.pdf
id ump-27109
recordtype eprints
spelling ump-271092019-12-24T04:35:52Z http://umpir.ump.edu.my/id/eprint/27109/ GPS, fingerprint and QR-code based attendance system Lim, Guo Hong QA75 Electronic computers. Computer science QA76 Computer software GPS, Fingerprint and QR-Code based Attendance System is a combination of GPS module, Fingerprint and QR-code features mobile application which use to take the students’ attendances in class. The system is developed to prevent students cheating on attendances, reduce the time consuming on taking attendances and reduce the workload of the lecturer when calculating the students’ attendances. The objective of this project is to study the existing system and compare the existing system with the proposed system. Besides, this project is to design and develop a system combining with GPS module for tracking the students’ attendances when check-in. The last objective of this project is to test the application to ensure that there is free of bugs and errors. This system is only available for Android devices and only for taking students’ attendance. The system has 2 users which are student and lecturer. For the first time users, they require to register first before using it. The methodology of this project of “GPS, Fingerprint and QR-Code Based Attendance System” is using Agile development model. This is because Agile development model can make any changes of the requirement at any time even late in the development. Besides, it reduces the time constraint of development by dividing a big task to the several small tasks. The “GPS, Fingerprint and QR-Code Based Attendance System” have several functions which Fingerprint verification on the login site, QR-Code scanning for students’ check-in, GPS navigation for lecturer to track the student location when students’ check-in and generating students’ attendance report. This system has been tested by using User Acceptance Test (UAT) by both users which are student and lecturer. The tested result shows that the system is working well and free of bugs and fulfilled the user requirements. 2019-01 Undergraduates Project Papers NonPeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/27109/1/GPS%2C%20fingerprint%20and%20QR-code%20based%20attendance.pdf Lim, Guo Hong (2019) GPS, fingerprint and QR-code based attendance system. Faculty of Computer System & Software Engineering, Universiti Malaysia Pahang. http://fypro.ump.edu.my/ethesis/index.php
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
topic QA75 Electronic computers. Computer science
QA76 Computer software
spellingShingle QA75 Electronic computers. Computer science
QA76 Computer software
Lim, Guo Hong
GPS, fingerprint and QR-code based attendance system
description GPS, Fingerprint and QR-Code based Attendance System is a combination of GPS module, Fingerprint and QR-code features mobile application which use to take the students’ attendances in class. The system is developed to prevent students cheating on attendances, reduce the time consuming on taking attendances and reduce the workload of the lecturer when calculating the students’ attendances. The objective of this project is to study the existing system and compare the existing system with the proposed system. Besides, this project is to design and develop a system combining with GPS module for tracking the students’ attendances when check-in. The last objective of this project is to test the application to ensure that there is free of bugs and errors. This system is only available for Android devices and only for taking students’ attendance. The system has 2 users which are student and lecturer. For the first time users, they require to register first before using it. The methodology of this project of “GPS, Fingerprint and QR-Code Based Attendance System” is using Agile development model. This is because Agile development model can make any changes of the requirement at any time even late in the development. Besides, it reduces the time constraint of development by dividing a big task to the several small tasks. The “GPS, Fingerprint and QR-Code Based Attendance System” have several functions which Fingerprint verification on the login site, QR-Code scanning for students’ check-in, GPS navigation for lecturer to track the student location when students’ check-in and generating students’ attendance report. This system has been tested by using User Acceptance Test (UAT) by both users which are student and lecturer. The tested result shows that the system is working well and free of bugs and fulfilled the user requirements.
format Undergraduates Project Papers
author Lim, Guo Hong
author_facet Lim, Guo Hong
author_sort Lim, Guo Hong
title GPS, fingerprint and QR-code based attendance system
title_short GPS, fingerprint and QR-code based attendance system
title_full GPS, fingerprint and QR-code based attendance system
title_fullStr GPS, fingerprint and QR-code based attendance system
title_full_unstemmed GPS, fingerprint and QR-code based attendance system
title_sort gps, fingerprint and qr-code based attendance system
publishDate 2019
url http://umpir.ump.edu.my/id/eprint/27109/
http://umpir.ump.edu.my/id/eprint/27109/
http://umpir.ump.edu.my/id/eprint/27109/1/GPS%2C%20fingerprint%20and%20QR-code%20based%20attendance.pdf
first_indexed 2023-09-18T22:42:31Z
last_indexed 2023-09-18T22:42:31Z
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