Main Content
Lembaga Kita Journal Portal

Abstract

In the Business and Technology Incubator Division at Solo Technopark, the existing attendance system presents significant challenges, requiring employees to physically commute to a centralized attendance machine. This process not only reduces work efficiency and productivity but also disrupts the daily workflow, particularly under unfavorable weather conditions or during peak hours. To address these issues, this research proposes the development of an attendance system based on facial recognition technology. This system enables employees to register their attendance directly from their desks using the camera on their laptops, thereby conserving time, reducing physical contact, and enhancing overall workplace hygiene. The system's development follows the Waterfall Method, which is structured into five key stages: communication, planning, modeling, construction, and deployment. Unified Modeling Language (UML) was employed to design the system, which was subsequently implemented for real-time monitoring and management. The findings demonstrate a marked improvement in employee efficiency and productivity, validating the system's effectiveness in a practical setting. The study underscores the potential of facial recognition technology to streamline operational processes and improve the working environment within modern organizations.

Keywords

Attendance System Facial Recognition Employee Efficiency Productivity Enhancement Waterfall Method

How to Cite

Citation Format
Arsandy, N. G., Maulindar, J., & Muhtarom, M. (2024). Implementation of Employee Attendance with Face Recognition using Waterfall Method in Solo Technopark. International Journal Software Engineering and Computer Science (IJSECS), 4(2), 680-689. https://doi.org/10.35870/ijsecs.v4i2.2617

References

23 References
  • Roosdianto, R., Sari, A. O., & Satriansyah, A. (2021). Rancang Bangun Aplikasi Sistem Informasi Absensi Karyawan Online. INTI Nusa Mandiri, 15(2), 135-142. https://doi.org/10.33480/inti.v15i2.1932.
  • Vicky, V. O., & Syaripudin, A. (2022). Perancangan Sistem Informasi Absensi Pegawai Berbasis Web Dengan Metode Waterfall (Studi Kasus: Kantor Dbpr Tangerang Selatan). OKTAL: Jurnal Ilmu Komputer dan Sains, 1(01), 17-26.
  • Lesmana, C., Lim, R., & Santoso, L. W. (2019). Implementasi Face Recognition menggunakan Raspberry pi untuk akses Ruangan Pribadi. Jurnal Infra, 7(1), 63-66.
  • Kurniawan, H., Apriliah, W., Kurniawan, I., & Firmansyah, D. (2020). Penerapan Metode Waterfall Dalam Perancangan Sistem Informasi Penggajian Pada Smk Bina Karya Karawang. Jurnal Interkom: Jurnal Publikasi Ilmiah Bidang Teknologi Informasi Dan Komunikasi, 14(4), 159-169. https://doi.org/10.35969/interkom.v14i4.58.
  • Hattarina, S., Saila, N., Faradilla, A., Putri, D. R., & Putri, R. G. A. (2022, August). Implementasi Kurikulum Medeka Belajar Di Lembaga Pendidikan. In Seminar Nasional Sosial, Sains, Pendidikan, Humaniora (SENASSDRA) (Vol. 1, No. 1, pp. 181-192).
  • Amin, M., & Novelan, M. S. (2020). Sistem Cerdas Kontrol Kran Air Menggunakan Mikrokontroler Arduino dan Sensor Ultrasonic. Jurnal Nasional Teknologi dan Jaringan, 4(2). https://doi.org/10.30743/INFOTEKJAR.V4I2.238
  • Al Fatta, H. (2007). Analisis dan Perancangan Sistem Informasi untuk keunggulan bersaing perusahaan dan organisasi modern. Penerbit Andi.
  • Aprilia, U. D. (2018). Analisis Strenghts, Weaknesses, Opportunities, Dan Threats Terhadap Perkembangan Industri Batik Di Tulungagung Dalam Perspekstif Ekonomi Islam (CV Saha Perkasa Gajah Mada).
  • Jati, O. D. H., Srirahayu, A., & Maulindar, J. (2023). Rancang Bangun Sistem Informasi Surat Menyurat Di Desa Pilang Sragen Berbasis Web (Studi Kasus Surat Pengantar Nikah). Innovative: Journal Of Social Science Research, 3(2), 13422-13433. https://doi.org/10.31004/innovative.v3i2.1410.
  • Wahid, H. A., Maulindar, J., & Pradana, A. I. (2023). Rancang Bangun Sistem Penyiraman Tanaman Otomatis Aglonema Berbasis IoT Menggunakan Blynk Dan NodeMCU 32. INNOVATIVE: Journal Of Social Science Research, 3(2), 6265-6276. https://doi.org/10.31004/innovative.v3i2.1094.
  • Duff, A., Podolsky, M., Biron, M., & Chan, C. (2014). The interactive effect of team and manager absence on employee absence: A multilevel field study. Journal of Occupational and Organizational Psychology, 88(1), 61-79. https://doi.org/10.1111/joop.12078
  • Le, Q., Vu, T., & Vo, T. (2021). Application of 3D face recognition in the access control system. Robotica, 40(7), 2449-2467. https://doi.org/10.1017/s0263574721001739
  • Alda, M. (2023). The development of employee attendance application based on mobile using spiral method. Matrix: Jurnal Manajemen Teknologi dan Informatika, 13(1), 12-24. https://doi.org/10.31940/matrix.v13i1.12-24
  • Ardebili, A., Latifian, A., Aziz, C., BinSaeed, R., Alizadeh, S., & Kostyrin, E. (2022). A comprehensive and systematic literature review on the employee attendance management systems based on cloud computing. Journal of Management & Organization, 29(4), 679-696. https://doi.org/10.1017/jmo.2022.63
  • Alhilali, A., Ali, N., Kadhim, M., Al-Sadawi, B., & Alsharqi, H. (2019). Multi-objective attendance and management information system using computer application in industry strip. Indonesian Journal of Electrical Engineering and Computer Science, 16(1), 371-381. https://doi.org/10.11591/ijeecs.v16.i1.pp371-381
  • Abdullah, A. (2023). Electronic attendance system impact on healthcare employees' performance and economic impact in Saudi Arabia. Saudi Journal of Business and Management Studies, 8(11), 250-256. https://doi.org/10.36348/sjbms.2023.v08i11.001
  • Santhose, S., & Anisha, N. (2022). Psychological improvement in employee productivity by maintaining attendance system using machine learning behavior. Journal of Community Psychology, 51(1), 270-283. https://doi.org/10.1002/jcop.22902
  • Nuralif, I. (2023). Development of a QR code-based attendance system for factory employees. International Journal of Software Engineering and Computer Science (IJSECS), 3(3), 281-286. https://doi.org/10.35870/ijsecs.v3i3.1774
  • Rahman, R., & Suharjito, S. (2023). Crowd face detection with Naive Bayes in attendance system using Raspberry Pi. E3S Web of Conferences, 388, 02010. https://doi.org/10.1051/e3sconf/202338802010
  • Medhavath, S. (2023). Face recognition based attendance system using ESP32CAM. IJEAST, 8(1), 132-136. https://doi.org/10.33564/ijeast.2023.v07i12.023
  • Aryanti, U., & Karmila, S. (2022). Sistem informasi absensi pegawai berbasis web di kantor desa Nagreg. Internal (Information System Journal), 5(1), 90-101. https://doi.org/10.32627/internal.v5i1.532
  • Santoso, J. (2024). Exploring data analytics in attendance systems: Unveiling machine learning techniques, patterns, practices, and emerging trends. Scientific Journal of Informatics, 11(2), 325-340. https://doi.org/10.15294/sji.v11i2.3438
  • Uddin, M., Allayear, S., Das, N., & Talukder, F. (2014). A location-based time and attendance system. International Journal of Computer Theory and Engineering, 6(1), 36-38. https://doi.org/10.7763/ijcte.2014.v6.832.

Author Biographies

Noelino Grevansha Arsandy, Universitas Duta Bangsa

Information System Study Program, Faculty of Computer Science, Universitas Duta Bangsa Surakarta, Surakarta City, Central Java Province, Indonesia

Joni Maulindar, Universitas Duta Bangsa

Information System Study Program, Faculty of Computer Science, Universitas Duta Bangsa Surakarta, Surakarta City, Central Java Province, Indonesia

Moh. Muhtarom, Universitas Duta Bangsa

Information System Study Program, Faculty of Computer Science, Universitas Duta Bangsa Surakarta, Surakarta City, Central Java Province, Indonesia

License

Copyright (c) 2024 Noelino Grevansha Arsandy, Joni Maulindar, Moh. Muhtarom

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

This is an open-access journal distributed under the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits unrestricted use, distribution, reproduction, and adaptation in any medium (even commercially), provided appropriate credit is given to the original author(s), a link to the license is provided, and any changes made are indicated. Authors retain copyright without restrictions and grant the journal the right of first publication as well as non-exclusive publishing rights for archiving, indexing, and scholarly dissemination.

Downloads

OJS UsageStats Plugin
Download data is not yet available.

Most read articles by the same author(s)

Contrimetric

Recommended Articles