Staff payroll using image capture and GPS location (SPICG)

The usage of technology as business solution is becoming very common which we can see that many organization nowadays make use of technology in their organization. However, there are few organization, especially whom with small budget still using manual paper system to keep track their staff attenda...

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Bibliographic Details
Main Author:	Tatccayani, Ravindran
Format:	Undergraduates Project Papers
Language:	English
Published:	2019
Subjects:	QA76 Computer software
Online Access:	http://umpir.ump.edu.my/id/eprint/26671/ http://umpir.ump.edu.my/id/eprint/26671/ http://umpir.ump.edu.my/id/eprint/26671/1/Staff%20payroll%20using%20image%20capture%20and%20GPS%20location.pdf

id	ump-26671
recordtype	eprints
spelling	ump-266712019-12-02T03:26:16Z http://umpir.ump.edu.my/id/eprint/26671/ Staff payroll using image capture and GPS location (SPICG) Tatccayani, Ravindran QA76 Computer software The usage of technology as business solution is becoming very common which we can see that many organization nowadays make use of technology in their organization. However, there are few organization, especially whom with small budget still using manual paper system to keep track their staff attendance. Unfortunately, the staffs’ salary are calculated based on the handwritten paper record. Due to the reasons that manual system is time consuming and always inaccurate, this project proposed a mobile application attendance with image capture and GPS location named as Staff payroll with Image capture and GPS location (SPICG). This mobile application will authenticate the attendance using image capture and record the staffs’ attendance by locating their position using GPS location. Based on the attendance, the employer will calculate the staff’s payroll. In addition, this project also providing a feature for them to fill in the organization’s sales. Thus, this application can help organization to eliminate the error and prevent fraud attendance by the staffs while improving the processing time. 2019-05 Undergraduates Project Papers NonPeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/26671/1/Staff%20payroll%20using%20image%20capture%20and%20GPS%20location.pdf Tatccayani, Ravindran (2019) Staff payroll using image capture and GPS location (SPICG). 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	QA76 Computer software
spellingShingle	QA76 Computer software Tatccayani, Ravindran Staff payroll using image capture and GPS location (SPICG)
description	The usage of technology as business solution is becoming very common which we can see that many organization nowadays make use of technology in their organization. However, there are few organization, especially whom with small budget still using manual paper system to keep track their staff attendance. Unfortunately, the staffs’ salary are calculated based on the handwritten paper record. Due to the reasons that manual system is time consuming and always inaccurate, this project proposed a mobile application attendance with image capture and GPS location named as Staff payroll with Image capture and GPS location (SPICG). This mobile application will authenticate the attendance using image capture and record the staffs’ attendance by locating their position using GPS location. Based on the attendance, the employer will calculate the staff’s payroll. In addition, this project also providing a feature for them to fill in the organization’s sales. Thus, this application can help organization to eliminate the error and prevent fraud attendance by the staffs while improving the processing time.
format	Undergraduates Project Papers
author	Tatccayani, Ravindran
author_facet	Tatccayani, Ravindran
author_sort	Tatccayani, Ravindran
title	Staff payroll using image capture and GPS location (SPICG)
title_short	Staff payroll using image capture and GPS location (SPICG)
title_full	Staff payroll using image capture and GPS location (SPICG)
title_fullStr	Staff payroll using image capture and GPS location (SPICG)
title_full_unstemmed	Staff payroll using image capture and GPS location (SPICG)
title_sort	staff payroll using image capture and gps location (spicg)
publishDate	2019
url	http://umpir.ump.edu.my/id/eprint/26671/ http://umpir.ump.edu.my/id/eprint/26671/ http://umpir.ump.edu.my/id/eprint/26671/1/Staff%20payroll%20using%20image%20capture%20and%20GPS%20location.pdf
first_indexed	2023-09-18T22:41:40Z
last_indexed	2023-09-18T22:41:40Z
_version_	1777416955663220736

Staff payroll using image capture and GPS location (SPICG)

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