DEVELOPMENT OF A LOCATION AND WIFI-BASED SMART ATTENDANCE SYSTEM: A CASE STUDY OF EMPLOYEES AT UNIVERSITAS PGRI YOGYAKARTA

Authors

  • Khairul Nur Syahlan Informatics Department, Universitas PGRI Yogyakarta
  • Wibawa Informatics Department, Universitas PGRI Yogyakarta
  • Puji Handayani Putri Informatics Department, Universitas PGRI Yogyakarta

DOI:

https://doi.org/10.61677/jth.v3i2.392

Keywords:

Attendance system, location, WiFi, face recognition, android, human resources

Abstract

The development of information technology has brought significant changes in various aspects of life, including employee attendance systems. Conventional fingerprint-based attendance still has several issues, such as dependence on physical contact, which poses a risk for disease transmission, and accuracy problems due to the cleanliness and humidity of fingerprints. Therefore, this research aims to design and implement an attendance system based on location and WiFi, with the addition of face recognition technology to improve efficiency and accuracy in recording employee attendance at the Universitas PGRI Yogyakarta. The research methods used include literature study, interviews, and system testing through alpha testing with 20 respondents. The results show that this attendance system received positive feedback from users, with 98% of respondents stating that the system's interface was good, 90% evaluating the system as working optimally, and 89% expressing overall satisfaction with the user experience. This system is able to reduce the potential for fraud, improve attendance accuracy, and simplify the data recap process. However, there are some challenges in implementation, such as reliance on network connectivity and GPS accuracy, as well as difficulties in facial recognition under certain lighting conditions. Therefore, further development is needed, such as improving network stability, optimizing face recognition technology, and providing socialization and training for users. With the results obtained, this system is expected to be an effective solution to improve the efficiency and accuracy of employee attendance in the workplace.

References

Adiputra, F., & Umam, F. (2022). Presensi Wireless Otomatis menggunakan Face Recognition. Rekayasa, 15(3), 386–397. https://doi.org/10.21107/rekayasa.v15i3.19762

Bisht, V., & Sharma, K. (2024). Integrating socio-environmental variables into GIS-based attendance and monitoring systems in hybrid workplace environments. Natural Hazards, 119(3), 2111–2130. https://doi.org/10.1007/s11069-024-06593-3

Bramesh, S. M., Arun, P., & Deekshith, H. R. (2025). Smart attendance system with facial recognition and GPS verification. International Multidisciplinary Research Journal Reviews, 1(2), 44–52. https://doi.org/10.17148/IMRJR.2025.020807

Hidayati, Arum; Fairuzabadi, M; Putri, P. H. (2022). Sistem Informasi Agenda Pimpinan Dengan Metode Rule Based Di Bagian Humas dan Protokol Sekretariat Daerah Kabupaten Bantul. Repository.Upy.Ac.Id, 1–13. http://repository.upy.ac.id/3788/1/SIAGENDA_PIMPINAN.pdf

Himyar, M., Mulya, M. F., & Siringo Ringo, J. H. (2021). Aplikasi Absensi Karyawan Berbasis Android Dengan Penerapan QR Code Disertai Foto Diri Dan Lokasi Sebagai Validasi Studi Kasus: PT.Selindo Alpha. Jurnal SISKOM-KB (Sistem Komputer Dan Kecerdasan Buatan), 4(2), 64–74. https://doi.org/10.47970/siskom-kb.v4i2.186

Jana, S. N. (2023). Online Presence System Using Geolocation and Digital Signature at the Rejang Regency Defense Office. Kreator, 10(2), 24–35. https://doi.org/10.46961/kreator.v10i2.893

Makhfuddin, R. A., & Prabowo, N. (2015). Aplikasi Absensi Menggunakan Metode Lock GPS dengan Android di PLN APP Malang Basecamp Mojokerto. MAJAPAHIT, 57.

Marti Widya Sari. (2014). Analisis Keamanan Jaringan Wi-Fi Menggunakan Metode Signal Scanning Di Fakultas Teknik Universitas Pgri Yogyakarta. Ugm.

Muhammad Shohibul Aqli, Mohammad Rijal Teja Kusuma, & Dirgan Galih Fajriyanto. (2023). Sistem Informasi Kepegawaian Berbasis Web di Madrasah Tsanawiyah Negeri 2 Jember. Jurnal Penelitian Sistem Informasi (Jpsi), 1(1), 01–16. https://doi.org/10.54066/jpsi-itb.v1i1.118

Setiawan, P. R. (2020). Aplikasi Absensi Online Berbasis Android. IT Journal Research and Development, 5(1), 63–71. https://doi.org/10.25299/itjrd.2020.vol5(1).5120

Tresnawati Shandy, P. A. (2021). 546-1-1102-1-10-20211230. 01(02), 49–53.

Wendanto, W., Nugroho, A., & Irsalina, Y. N. (2018). Aplikasi Presensi Dosen Mengajar Menggunakan Global Positioning System (GPS) Berbasis Android. Go Infotech: Jurnal Ilmiah STMIK AUB, 24(1), 54. https://doi.org/10.36309/goi.v24i1.92

Zhao, C., & Huang, X. (2020). Attendance system based on face recognition and GPS tracking and positioning. In Proceedings of the 2nd International Conference on Applied Machine Learning (ICAML) (pp. 78–83). IEEE. https://doi.org/10.1109/ICAML51583.2020.00024

Published

2025-10-30

How to Cite

Khairul Nur Syahlan, Wibawa, & Puji Handayani Putri. (2025). DEVELOPMENT OF A LOCATION AND WIFI-BASED SMART ATTENDANCE SYSTEM: A CASE STUDY OF EMPLOYEES AT UNIVERSITAS PGRI YOGYAKARTA. JTH: Journal of Technology and Health, 3(2), 100 ~ 111. https://doi.org/10.61677/jth.v3i2.392