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...
| Main Author: | |
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| Format: | Undergraduates Project Papers |
| Language: | English |
| Published: |
2019
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| Subjects: | |
| Online Access: | 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 |
| _version_ | 1848822592829390848 |
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| author | Tatccayani, Ravindran |
| author_facet | Tatccayani, Ravindran |
| author_sort | Tatccayani, Ravindran |
| building | UMP Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-15T02:43:42Z |
| format | Undergraduates Project Papers |
| id | ump-26671 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T02:43:42Z |
| publishDate | 2019 |
| recordtype | eprints |
| repository_type | Digital Repository |
| 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 |
| spellingShingle | QA76 Computer software Tatccayani, Ravindran Staff payroll using image capture and GPS location (SPICG) |
| title | 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_short | Staff payroll using image capture and GPS location (SPICG) |
| title_sort | staff payroll using image capture and gps location (spicg) |
| topic | QA76 Computer software |
| 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 |