Implementasi Sistem Absensi Menggunakan Algoritma Haar Cascade Classifier dengan Bahasa Pemrograman Python di PT Ruragraha Propertindo

Muhammad Kiki; Ari Syaripudin

Authors

Muhammad Kiki Universitas Pamulang
Ari Syaripudin Universitas Pamulang

Keywords:

Automated Attendance, Face Recognition, Haar Cascade Classifier, OpenCV, SDLC Waterfall

Abstract

Conventional attendance systems in companies, including PT Ruragraha Propertindo, still face significant issues such as the potential for fraud (buddy punching), inefficient manual processes, and non integrated data processing. The implementation of face recognition-based biometric technology offers a more practical and secure solution. This study aims to design and implement an automated face recognition-based
attendance system at PT Ruragraha Propertindo to improve the accuracy, efficiency, and accountability of employee attendance recording. The system was developed using the Waterfall model of the System Development Life Cycle (SDLC). The Haar Cascade Classifier algorithm from the OpenCV library was used for real-time face detection, combined with Local Binary Pattern Histogram (LBPH) for identity recognition. Software development utilized the Python programming language with the Flask framework for the web interface and MySQL as the database. Functional testing was conducted using Blackbox and Whitebox Testing. The research output is a system prototype expected to automate the attendance process, reduce waiting time, minimize fraud, and provide accurate, integrated attendance data to support managerial decision-making at PT Ruragraha Propertindo.

References

Aprilian Anarki, G., Auliasari, K., & Orisa, M. (2021). Penerapan Metode Haar Cascade Pada Aplikasi Deteksi Masker. JATI (Jurnal Mahasiswa Teknik Informatika), 5(1), 179–186. https://doi.org/10.36040/jati.v5i1.3214

Cesario, R., Noer, F. M., Saputra, Y., Fuadi, L., Informatika, T., & Pamulang, U. (2025). RANCANGAN SISTEM ABSENSI KARYAWAN BERBASIS WEBSITE PADA PT BARUMAN JAYA PERKASA. 3(3), 287–290.

Darmawan, R. (2022). Perancangan Sistem Absensi menggunakan Face Recognition dengan Haar Cascade Classifier. Jurnal Ilmiah Informatika Dan Komputer, 5(2), 1–8.

Doni Karseno, Yuhandri, A. R. (2025). Penerapan Algoritma Haar Cascade Clasifier dan Computer Neural. 11(4), 398–408. https://doi.org/10.35134/komtekinfo.v12i1.565

Edi, M., Darmanto, H., Sistem, P., Akuntansi, I., Taruna, K., & Wajah, P. (2024). PENGENALAN WAJAH DENGAN ALGORITMA LOCAL BINERY PATTERN HISTOGRAM ( LBPH ). 2(1).

Febriansyah, I., Nawawi, S., & Irawan, S. A. (2025). Sistem Aplikasi Absensi Karyawan Berbasis Web pada PT Mulia Djasmine Sentosa. 3(4), 564–578.

Gunawan, M. A., Purba, H. S., Saputra, N. A. B., Wiranda, N., & Adini, M. H. (2024). Perancangan Pendeteksi Wajah dengan Metode Haar Cascade dan Local Binary Pattern Berbasis OpenCV. Computing and Education Technology Journal, 4(1), 7. https://doi.org/10.20527/cetj.v4i1.12332

Jamal Rosid. (2022). Face Recognition Dengan Metode Haar Cascade dan Facenet. Indonesian Journal of Data and Science, 3(1), 30–34. https://doi.org/10.56705/ijodas.v3i1.38

Juliyati, D., & Budihartanti, C. (2025). PERANCANGAN SISTEM ABSENSI BERBASIS WEB DENGAN MENGGUNAKAN PEMINDAIAN BARCODE PADA PT . PRIMA SUMBER DAYA INVESTASI. 9(2), 711–722. https://doi.org/10.52362/jisamar.v9i2.1863

Nurfaizal, H. (2026). Rancang Bangun dan Evaluasi Sistem Absensi Karyawan dengan Teknologi Face Recognition dan Geolocation API Menggunakan Framework Flask. 10(1), 73–84.

Pahlevi, R. A., & Setiaji, B. (2023). Analysis of Application Haar Cascade Classifier and Local Binary Pattern Histogram Algorithm in Recognizing Faces With Real-Time Grayscale Images Using Opencv. Jurnal Teknik Informatika (Jutif), 4(1), 179–186. https://doi.org/10.52436/1.jutif.2023.4.1.491

Resqi, A., Nur, P., & Desi, L. (2025). Pengembangan Sistem Kehadiran Mahasiswa Cerdas Berbasis Web dengan Deteksi Waktu Nyata Menggunakan YOLO dan ArcFace. 4(September), 325–334.

Rochmawati, D. R. (2024). DETEKSI WAJAH DENGAN METODE HAAR CASCADE MENGGUNAKAN OPENCV ( FACE DETECTION WITH HAAR CASCADE METHOD USING OPENCV ). Teknologi Komputer Dan Informatika, 3.

Sahara, S., Puspita, A., & Mailasari, M. (2024). Pengembangan Prototype Aplikasi Pengenalan Wajah Real-Time dengan Metode Haar Cascade dan LBPH. 4(2), 3–8.

Saraswati, N. M., Hariyono, R. C. sigitta, & Chandra, D. (2023). Face Recognition Menggunakan Metode Haar Cascade Classifier Dan Local Binary Pattern Histogram. Jurnal Media Elektrik, 20(3), 6. https://doi.org/10.59562/metrik.v20i3.50491

Yulina, S. (2021). Penerapan Haar Cascade Classifier dalam Mendeteksi Wajah dan Transformasi Citra Grayscale Menggunakan OpenCV. Jurnal Komputer Terapan, 7(1), 100–109. https://doi.org/10.35143/jkt.v7i1.3411