USE OF NFC TECHNOLOGIES TO AUTOMATE EMPLOYEE TIMEKEEPING

Authors

DOI:

https://doi.org/10.32782/tnv-tech.2024.2.2

Keywords:

time tracking system, NFC, use case diagram, component diagram, REST service

Abstract

This work is devoted to the issue of the use of NFC technologies to automate the accounting of employees' working hours. The design of a service for accounting of working hours and control of discipline among employees is under consideration. This service will allow prompt detection of discipline violations and notification of managers via SMS and other communication channels. A smartphone based on the Android operating system with NFC contactless data transfer technology and an NFC card for employee identification can be used to read data. The mobile application is installed on a smartphone to emulate the operation of the terminal. This application reads data from employees' keys and sends them to the server via Wi-Fi or GSM. The server calculates the actual time, the employee's presence at the workplace, generates a timesheet for each employee, and collects statistics on delays and overruns by department. In the process of requirements analysis, a technical task was drawn up, in which the main functional and non-functional requirements for the system were formulated, the main users of the system and options for using the system by users were determined. The time control service architecture is developed, which includes three main components: a server, external clients (apps for iOS, Android, and a web interface) and a REST service. All of these components are independent of each other, so changing one does not affect the others. An innovative solution for the creation of a cloud-based time management service was proposed, which is based on the modern NFC near-field technology for communication. The main advantages of the timekeeping system are quick implementation, availability of equipment and low operating costs, which makes it an ideal choice for even small enterprises. Also, the service can be used to monitor employees not only at stationary workplaces, but also in mobile and spatial conditions.

References

Nabeel A., Ahmed A., Hasanein R., Basheer Al-S., Haider A. Automated attendance management systems: systematic literature review. International Journal of Technology Enhanced Learning. 2022. Vol. 14. No. 37. DOI: https://doi.org/10.1504/IJTEL.2022.120559

Zavgorodnii V., Zavgorodnya A., Maiko V., Malikov V., Zhuk D. Methods and models for assessment of reliability of structural-complex systems. World science. 2018. Vol. 11. Is. 39. P. 5–14.

Younis M.I., Younis M., Abed M.M., Alsewari A.R. Development of an Attendance System Based on Cloud. Fog Computing with Data Recovery Capability. Iraqi Journal of Science. 2020. Vol. 61. Is. 5. P. 1190–1201.

Nwazor O.N., Olusolape M.M. Cloud Based Attendance Management and Information System. International Journal of Engineering Research & Technology (IJERT). 2021. Vol. 10. Is. 09. DOI: https://doi.org/10.17577/IJERTV10IS090051

Naen F.N., Mohamad H., Yazi N.A., Chee K.N. Development of Attendance Monitoring System with Artificial Intelligence Optimization in Cloud. International Journal of Artificial Intelligence. 2021. Vol. 8. P. 88–98. DOI: https://doi.org/10.36079/lamintang.ijai-0802.315

Завгородній В.В., Завгородня Г.А., Дроботович К.Є., Тенігін О.В., Шматко М.М. Математичне моделювання у методах формального дослідження. Вчені записки Таврійського національного університету імені В. І. Вернадського. Серія: Технічні науки. Том 32 (71). № 6. 2021. С. 75–79. DOI https://doi.org/10.32838/2663-5941/2021.6/12

Somasundaram V., Kannan M., Sriram V. Mobile based Attendance Management System. Indian Journal of Science and Technology. 2016. Vol. 9. Is. 35. P. 1–4. DOI: https://doi.org/10.17485/ijst/2016/v9i35/101807

Zavgorodnya A., Zavgorodnii V., Plisenko V, Provatorov N., Kudientsov P. Methods modeling systems for the improvement of their reliability. International Academy Journal Web of Scholar. 2019. Vol. 9. Is. 39. P. 3–11. DOI: https://doi.org/10.31435/rsglobal_wos/30092019/6683

Published

2024-07-09

How to Cite

Завгородній, В. В., Завгородня, Г. А., Завгородній, В. В., & Горячковський, Ю. М. (2024). USE OF NFC TECHNOLOGIES TO AUTOMATE EMPLOYEE TIMEKEEPING. Таuridа Scientific Herald. Series: Technical Sciences, (2), 21-27. https://doi.org/10.32782/tnv-tech.2024.2.2

Issue

Section

COMPUTER SCIENCE AND INFORMATION TECHNOLOGY