UI/UX Design of a Web-Based Linmas Attendance System in Desa Abiansemal Using Design Thinking Methods Based on Face Recognition and Geolocation

Authors

  • Putu Yoka Angga Prawira Program Studi Rekayasa Sistem Komputer, Institut Bisnis Dan Teknologi Indonesia, Denpasar, Bali, Indonesia
  • I Putu Yoga Indrawan Program Studi Informatika, Institut Bisnis Dan Teknologi Indonesia, Denpasar, Bali, Indonesia

DOI:

https://doi.org/10.58982/rsygf387

Keywords:

Attendance System, Face Recognition, Geofencing, System Usability Scale , E-Government

Abstract

Currently, the management of village security forces (Linmas) in Desa Abiansemal uses manual attendance system which is vulnerable to location spoofing and buddy punching. The purpose of this research is to design and implement a Web-Based Linmas Attendance System as an effort in improving accuracy and discipline of Administrative. The implemented solution combines Geofencing technologies, applied through validation of GPS coordinates based on the Haversine formula and AI based Facial Recognition done using face-api. js for real-time biometric authentication. The system is built on the Laravel framework with a MySQL database. We performed functionality testing as well as the SUS (System Usability Scale) method to evaluate the interface and user experience. The results show that the technology effectively prevents ghosting by verifying not only the attendance of a user within the determined duty radius but also visually confirming the identity of a dutiable person. A quantitative evaluation scored an SUS score of 77.5 within a range to the "Good" rating category for interface usability. The finding of the study indicates that the prototype meets user expected in terms of effectiveness and comfort making it a robust and viable digital solution for contemporary village governance.

References

[1] A. R. Pratama, "Implementation of Geolocation and Face Recognition for Employee Attendance System," Int. J. Adv. Comput. Sci. Appl., vol. 12, no. 5, pp. 112–118, 2021, doi: 10.14569/IJACSA.2021.0120514.

[2] R. M. Sari and T. Hidayat, "A Comprehensive Review on Face Recognition Systems for Time and Attendance Tracking," IEEE Access, vol. 11, no. 2, pp. 45012–45025, 2023, doi: 10.1109/ACCESS.2023.3214567.

[3] B. Santoso, "Integration of GPS Geofencing and Face-API for Smart Attendance Systems," J. Inf. Syst. Eng. Bus. Intell., vol. 7, no. 1, pp. 45–53, 2021, doi: 10.20473/jisebi.7.1.45-53.

[4] D. W. K. Rini, et al., "Evaluating the System Usability Scale (SUS) in Web-Based E-Government Applications," J. Comput. Sci. Inf. Technol., vol. 15, no. 3, pp. 201–210, 2024, doi: 10.15849/jcsit.2024.0305.

[5] K. Y. Lin and Y. C. Chen, "Deep Learning-Based Facial Recognition for Mobile Attendance Systems," Expert Syst. Appl., vol. 195, pp. 116–125, 2022, doi: 10.1016/j.eswa.2021.116543.

[6] M. F. Amin and Z. Abidin, "Public Order and Village Security: The Role of Linmas in Indonesian Local Governance," J. Southeast Asian Public Adm., vol. 8, no. 2, pp. 88–102, 2023, doi: 10.21107/jsapa.v8i2.4567.

[7] F. S. Rahayu and R. I. Budi, "Implementation of Haversine Formula for Geofencing-based Employee Presence Validation," Int. J. Interact. Mob. Technol., vol. 19, no. 1, pp. 34–45, 2025, doi: 10.3991/ijim.v19i1.1234.

[8] A. H. Pratama, "Addressing Buddy Punching in the Workplace Through Multi-Factor Authentication Technologies," J. Appl. Bus. Technol., vol. 3, no. 4, pp. 210–222, 2022, doi: 10.31234/jabt.v3i4.890.

[9] S. T. Wijaya and C. Wibowo, "Optimization of Web-Based Real-Time Face Verification Using Face-API.js," J. Web Eng., vol. 20, no. 3, pp. 15–28, 2021, doi: 10.13052/jwe1540-9589.2031.

[10] L. Hakim, A. Kurniawan, and D. S. Putra, "E-Government Adoption at the Village Level: Challenges and Opportunities in Bali," Public Policy Adm. Q., vol. 12, no. 1, pp. 45–59, 2024, doi: 10.2139/ppaq.2024.01.

[11] N. L. P. Suari and I. G. A. Astawa, "A Web-Based Attendance Monitoring System with Geolocation for Remote Workers," Indones. J. Electr. Eng. Comput. Sci., vol. 31, no. 2, pp. 789–796, 2023, doi: 10.11591/ijeecs.v31.i2.pp789-796.

[12] P. J. Brooke and M. Brooke, "Rethinking the System Usability Scale (SUS) for Modern Web Applications," Int. J. Hum. Comput. Stud., vol. 159, no. 1, pp. 102–114, 2022, doi: 10.1016/j.ijhcs.2021.102758.

[13] M. T. Anwar and F. R. Hariri, "Preventing Location Spoofing in GPS-Based Mobile Attendance Applications," J. Netw. Comput. Appl., vol. 210, pp. 103–115, 2024, doi: 10.1016/j.jnca.2023.103550.

[14] I. W. G. Supartha and I. M. D. Mahendra, "Development of a Village Information System to Support Smart Village Initiatives in Indonesia," J. Asian Informatics, vol. 4, no. 2, pp. 321–328, 2022, doi: 10.1016/j.jasi.2022.12.045.

[15] R. Haryanto, S. W. Hati, and T. M. Akhriza, "Biometric Authentication in the Era of Cloud Computing: Security and Privacy Considerations," IEEE Trans. Biom. Behav. Identity Sci., vol. 7, no. 1, pp. 88–99, 2025, doi: 10.1109/TBIOM.2024.3218890.

[16] A. D. Saputra, et al., "Evaluation of Web-Based Attendance Information Systems Using SUS and Black Box Testing," J. Softw. Eng. Appl., vol. 16, no. 4, pp. 111–125, 2023, doi: 10.4236/jsea.2023.164007.

[17] J. R. Lewis and J. Sauro, Quantifying the User Experience: Practical Statistics for User Research, 2nd ed. Cambridge: Morgan Kaufmann, 2022.

[18] I. P. G. A. Darmawan, "Integration of Convolutional Neural Networks for Edge-Based Face Detection," in 5th Int. Conf. Inf. Technol. Digit. Appl., Bali, Indonesia, 2023, pp. 45–50.

[19] I. K. Wardana, "Rancang Bangun Sistem Presensi Geofencing Berbasis Mobile Web pada Pemerintah Kabupaten Badung," M.S. thesis, Univ. Udayana, Denpasar, 2024.

[20] Republik Indonesia, "Undang-Undang Nomor 6 Tahun 2014 Tentang Desa," Jakarta, 2014.

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Published

2026-06-22

How to Cite

UI/UX Design of a Web-Based Linmas Attendance System in Desa Abiansemal Using Design Thinking Methods Based on Face Recognition and Geolocation. (2026). Krisnadana Journal, 5(3), 431-441. https://doi.org/10.58982/rsygf387

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