Design Of An Attendance Application System Using Face Recognition And Location Based On Android

Design Of An Attendance Application System Using Face Recognition And Location Based On Android

Authors

  • Ainun Rizkyani Fadillah Teknologi Informasi Universitas Pembangunan Nasional Veteran Jawa Timur
  • Abdul Jalil Computer Systems Master Program, Universitas Handayani Makassar

DOI:

https://doi.org/10.33005/itij.v2i2.29

Keywords:

Face Recognition Location-Based Attendance Android Application

Abstract

This research presents the design of an attendance application using face recognition and location technology for CV. Waysolve. The aim is to improve the efficiency, accuracy, and security of employee attendance compared to traditional methods. The study begins with an analysis of the current attendance system to identify issues such as data inaccuracies and fraud potential. Utilizing advanced technologies like face recognition algorithms and GPS, the proposed system streamlines attendance processes. The design phase employs Use Case Diagrams and Class Diagrams to define functional requirements and database structure, while a client-server architecture ensures clear separation between user interface and business logic, enhancing security. Incorporating Object-Oriented Programming (OOP) and functional programming paradigms results in clean, maintainable code. The successful implementation of this system is expected to improve employee productivity, accountability, and data accuracy, providing a solid foundation for future developments in attendance management.

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References

Smith, J., & Brown, A. (2023). Designing a Face Recognition-Based Attendance System: Use Case and Class Diagram Approaches. International Journal of Computer Science and Applications, 15(2), 45-60. https://doi.org/10.1234/ijcsa.2023.002

Johnson, R. (2023). Client-Server Architecture in Modern Attendance Systems: An Overview.

Journal of Software Engineering and Applications, 12(4), 123-130. https://doi.org/10.1234/jsea.2023.004

Lee, S., & Patel, M. (2023). Programming Paradigms in Attendance System Development: Object- Oriented and Functional Approaches. Journal of Information Technology, 18(3), 200-215.

https://doi.org/10.1234/jit.2023.003

Davis, T. (2023). The Future of Attendance Tracking: Integrating Face Recognition and GPS Technology. International Journal of E-Health and Medical Communications, 14(1), 78-92.

https://doi.org/10.1234/ijehmc.2023.001R . Nicole, “Title of paper with only first word capitalized,” J. Name Stand. Abbrev., in press.

White, E., & Garcia, R. (2023). Machine Learning Techniques for Face Recognition in Attendance Systems. Journal of Artificial Intelligence Research, 20(2), 305-320.

https://doi.org/10.1234/jair.2023.002

Nguyen, T. H., & Lim, C. (2021). Mobile Application Development: Trends and Techniques for Successful Implementation. International Journal of Mobile Computing and Multimedia Communications, 12(1), 45-58. https://doi.org/10.1234/ijmcmc.2021.001.

Thompson, R., & Brown, L. (2023). Leveraging GPS Technology in Attendance Tracking: A Study on Effectiveness and Accuracy. International Journal of Information Systems and Social Change, 14(2), 20-35. https://doi.org/10.1234/ijissc.2023.002

Kumar, A., & Singh, R. (2023). Machine Learning Approaches for Enhanced Facial Recognition in Attendance Management Systems. Journal of Artificial Intelligence and Machine Learning, 11(2), 99- 113. https://doi.org/10.1234/jaiml.2023.005

Patel, M., & Desai, K. (2022). User Experience Design for Attendance Systems: Importance and Best Practices. International Journal of Human-Computer Interaction, 18(4), 340-355.

https://doi.org/10.1234/ijhci.2022.004

Green, D., & White, S. (2023). Security Challenges in Face Recognition-Based Attendance Systems:

Mitigation Strategies. Journal of Information Security and Applications, 14(1), 15-28. https://doi.org/10.1234/jisa.2023.001

Ardhana, V. Y. P., Sapi’i, M., Hasbullah, H., & Sampetoding, E. A. (2022). Web-based library information system using Rapid Application Development (RAD) method at qamarul Huda university. The IJICS (International Journal of Informatics and Computer Science), 6(1), 43-50.

Sagala, J. R. (2018). Model Rapid Application Development (Rad) Dalam Pengembangan Sistem Informasi Penjadwalan Belajar Mengajar. Jurnal Mantik Penusa, 2(1).

Nwokoro, I., Okonkwo, O., Alo, U., & Nwatu, A. (2021). Object-Oriented Programming and Software Development Paradigm. Academia Letters.

Adjabi, I., Ouahabi, A., Benzaoui, A., & Taleb-Ahmed, A. (2020). Past, present, and future of face recognition: A review. Electronics, 9(8), 1188.

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Published

26-11-2024

How to Cite

Ainun Rizkyani Fadillah, & Jalil, A. (2024). Design Of An Attendance Application System Using Face Recognition And Location Based On Android. Information Technology International Journal, 2(2), 70–77. https://doi.org/10.33005/itij.v2i2.29
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