IMPLEMENTASI APLIKASI SISTEM ABSENSI KARYAWAN BERBASIS FACE RECOGNITION DAN LOCATION BASED SERVICES (LBS) PADA PT. BENHIL RAYA INTERNASIONAL (BRAIN)
DOI:
https://doi.org/10.33884/jif.v14i01.11030Keywords:
Face Recognition, Location Based Services, Attendance System, Web Application, Biometric Authentication, PHP, Waterfall MethodAbstract
This study aims to design and implement a web-based employee attendance system utilizing Face Recognition and Location Based Service (LBS) technologies. The system was developed to enhance the accuracy, security, and efficiency of attendance recording while facilitating monitoring processes for administrators and supervisors. The research method applied in this study is the Waterfall model, which consists of requirement analysis, system design, implementation, testing, and evaluation stages. The results indicate that the developed system is capable of automatically verifying employee identities through facial recognition and validating attendance locations based on predefined GPS coordinates. The implementation of this system successfully reduces the potential for attendance fraud, such as proxy attendance, and accelerates the attendance data recapitulation process due to real-time and structured data storage. Furthermore, the system automatically generates daily, monthly, and overall attendance reports, thereby improving the effectiveness and efficiency of attendance management.
References
U. Aryanti and S. Karmila, “Sistem Informasi Absensi Pegawai Berbasis Web di Kantor Desa Nagreg,” INTERNAL (Information System Journal, vol. 5, no. 1, pp. 90–101, 2022, doi: 10.32627.
A. Agustiyar, R. R. Isnanto, and C. E. Widodo, “Face Recognition for Attendance Systems: A Bibliometric Review of Research Trends and Opportunities,” Jurnal Sisfokom (Sistem Informasi dan Komputer), vol. 15, no. 01, pp. 8–13, Dec. 2025, doi: 10.32736/sisfokom.v15i01.2529.
M. A. R. Sikumbang, R. Habibi, and S. F. Pane, “Sistem Informasi Absensi Pegawai Menggunakan Metode RAD dan Metode LBS Pada Koordinat Absensi,” JURNAL MEDIA INFORMATIKA BUDIDARMA, vol. 4, no. 1, p. 59, Jan. 2020, doi: 10.30865/mib.v4i1.1445.
C. Juanda, T. Situmorang, and P. M. Hasugian, “Development of a Face Recognition and Geofencing Based Attendance Information System Using the Prototyping Method. Caesar Juanda Theodorus Situmorang,” vol. 3, no. 01, 2025, [Online]. Available: https://jurnal.seaninstitute.or.id/index.php/jukomi
I. Agus Wibowo and M. Aljabar Aljabar Aljabar Linier Linier Linier, P Y YAYASAN PRIMA AGUS TEKNIK.
R. Roosdianto, A. O. Sari, and A. Satriansyah, “RANCANG BANGUN APLIKASI SISTEM INFORMASI ABSENSI KARYAWAN ONLINE,” INTI Nusa Mandiri, vol. 15, no. 2, pp. 135–142, Feb. 2021, doi: 10.33480/inti.v15i2.1932.
S. Informasi Absensi and A. Gilang Mulia, “Sistem Informasi Absensi berbasis WEB di Politeknik Negeri Padang,” JTII, vol. 05, no. 01, 2020.
BIOMETRIK DAN SISTEM SEKURITI.
“BUKU METODOLOGI PENELITIAN KUANTITATIF _ ANOVA”.
E. M. Asih, R. Wahyu, Y. Putra, M. Pd, S. Andriani, and M. P. Kelas, “MATRIKS Untuk SMA/MA/SMK/MAK XI Semester Ganjil.”
F. Wahyu Wibowo, “Aljabar Linier dan Matriks Hanya untuk bahan ajar dan tidak diperjualbelikan.”
J. Akbar, H. Fahmi, and W. Murniati, “MULTI LABEL KLASIFIKASI GENRE FILM BERDASARKAN SINOPSIS MENGGUNAKAN METODE LONG SHORT-TERM MEMORY (LSTM),” Jurnal Manajemen Informatika & Sistem Informasi (MISI), vol. 8, no. 1, 2025, doi: 10.36595/misi.v5i2.
R. Nopour, “Machine learning models in enhancing prediction of health-related indices among older adults: A scoping review,” Jul. 01, 2025, Elsevier Ltd. doi: 10.1016/j.heliyon.2025.e43510.
S. Sugeng and A. Mulyana, “Sistem Absensi Menggunakan Pengenalan Wajah (Face Recognition) Berbasis Web LAN,” Jurnal Sisfokom (Sistem Informasi dan Komputer), vol. 11, no. 1, pp. 127–135, Apr. 2022, doi: 10.32736/sisfokom.v11i1.1371.
K. I. Meutia et al., “PENGARUH USIA KARYAWAN DAN ABSENSI KARYAWAN TERHADAP KINERJA KARYAWAN,” vol. 3, no. 6, 2022, doi: 10.31933/jemsi.v3i6.
A. S. Walenta, J. W. Kuswinardi, A. N. K. W. Wardani, B. Efendi, and R. Zulfikhar, “Aplikasi Manajemen Hubungan Pelanggan ( Customer Relationship Management CRM ) dalam Era Digital: Analisis Literatur tentang Keuntungan dan Implementasi,” Jurnal Pendidikan Tambusai, vol. 7, pp. 22008–22013, 2023, [Online]. Available: https://www.jptam.org/index.php/jptam/article/view/9819/7968
A. Occhipinti, L. Rogers, and C. Angione, “A pipeline and comparative study of 12 machine learning models for text classification.” [Online]. Available: https://github.com/Angione-Lab/12-machine-
F. I. Adani1 and H. Amalia2, “Penerapan Metode Algoritma XGBoost untuk Prediksi Risiko Penyakit Jantung,” Jurnal INSAN (Journal of Information Systems Management Innovation, vol. 5, no. 2, 2025, [Online]. Available: http://jurnal.bsi.ac.id/index.php/jinsan
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