Transformasi Digital Sistem Kehadiran untuk Budaya Hybrid Work dengan TOGAF Framework

Arvin Mareta, Alfa Yohannis

Abstract


Since the end of the COVID-19 pandemic in 2023, hybrid work or work from anywhere (WFA) methods have become increasingly popular. While this work culture offers flexibility, it also poses challenges for companies in monitoring employee attendance. This study proposes the implementation of the TOGAF Framework to design an attendance management system that supports a hybrid work culture. The design process begins with a preliminary phase to identify user needs and the limitations of traditional systems. The system is designed using TOGAF ADM (Architecture Development Method), covering phases such as Architecture Vision, Business Architecture, Information System Architecture, and Technology Architecture. Technologies such as IoT, GPS, facial recognition, and mobile applications are employed to ensure system flexibility and accuracy. Testing is conducted in two stages: Blackbox Testing to verify functionality against specifications, and User Acceptance Testing (UAT) to evaluate system usability in real-world conditions. The test results show that the system meets all specifications, improves operational efficiency by up to 40%, and ensures the security and accuracy of attendance data. The system is also designed for integration with other modules, such as payroll and HRIS, to support strategic decision-making. This approach provides an effective and adaptive solution for monitoring employee attendance, whether working remotely or in the office, and enhances productivity in modern work environments.

Keywords


attendance management system; hybrid work culture; togaf framework; employee monitoring; digital transformation

Full Text:

References


W. Li, E. Zhang, and Y. Long, “Unveiling fine-scale urban third places for remote work using mobile phone big data,” Sustain. Cities Soc., vol. 103, no. April 2024, p. 105258, 2024, doi: 10.1016/j.scs.2024.105258.

K. Kozioł-Nadolna, “Advantages and disadvantages of remote work from the perspective of a Polish employee during the Covid 19 pandemic,” Procedia Comput. Sci., vol. 246, no. C, pp. 3859–3867, 2024, doi: 10.1016/j.procs.2024.09.159.

H. Kalbuadi and A. R. Yohanis, “Remote Working and TOGAF: Architecture Vision,” Eduvest - J. Univers. Stud., vol. 4, no. 5, pp. 3999–3410, 2024, doi: 10.59188/eduvest.v4i5.1126.

R. Ferreira, R. Pereira, I. S. Bianchi, and M. M. da Silva, “Decision factors for remote work adoption: Advantages, disadvantages, driving forces and challenges,” J. Open Innov. Technol. Mark. Complex., vol. 7, no. 1, pp. 1–24, 2021, doi: 10.3390/joitmc7010070.

A. Shrivastava, S. J. Suji Prasad, A. R. Yeruva, P. Mani, P. Nagpal, and A. Chaturvedi, “IoT Based RFID Attendance Monitoring System of Students using Arduino ESP8266 & Adafruit.io on Defined Area,” Cybern. Syst., pp. 21–32, 2025, doi: 10.1080/01969722.2023.2166243.

V. D. Nguyen, H. Van Khoa, T. N. Kieu, and E. N. Huh, “Internet of Things-Based Intelligent Attendance System: Framework, Practice Implementation, and Application,” Electron., vol. 11, no. 19, pp. 1–19, 2022, doi: 10.3390/electronics11193151.

B. T. Nguyen-Tat, M. Q. Bui, and V. M. Ngo, “Automating attendance management in human resources: A design science approach using computer vision and facial recognition,” Int. J. Inf. Manag. Data Insights, vol. 4, no. 2, p. 100253, 2024, doi: 10.1016/j.jjimei.2024.100253.

T. W. Chiang et al., “Development and Evaluation of an Attendance Tracking System Using Smartphones with GPS and NFC,” Appl. Artif. Intell., vol. 36, no. 1, pp. 1–22, 2022, doi: 10.1080/08839514.2022.2083796.

A. S. Nadhan et al., “Smart Attendance Monitoring Technology for Industry 4.0,” J. Nanomater., vol. 1, no. 1, pp. 1–9, 2022, doi: 10.1155/2022/4899768.

P. Brou et al., “Security Policy Model in a Hybrid Zachman-TOGAF Framework for a Telework Enterprise Architecture in a Cloud Environment,” Open J. Saf. Sci. Technol., vol. 14, pp. 96–115, 2024, doi: 10.4236/ojsst.2024.143008.

T. Werner and A. Lehan, “Enterprise Architecture Management (EAM) as a fundamental approach for the digital transformation of the German road infrastructure management,” Transp. Res. Procedia, vol. 72, no. 2022, pp. 1098–1104, 2023, doi: 10.1016/j.trpro.2023.11.564.

A. Wibowo, Y. P. Wibisono, C. H. Primasari, P. Nasiti, and A. B. P. Irianto, “Strategic Planning of an Indonesian IT Company Using TOGAF ADM,” AIP Conf. Proc., vol. 2578, no. November, 2022, doi: 10.1063/5.0106486.

M. Ula, A. Pratama, Y. Asbar, W. Fuadi, R. Fajri, and R. Hardi, “A New Model of the Student Attendance Monitoring System Using RFID Technology,” J. Phys. Conf. Ser., vol. 1807, no. 1, pp. 1–7, 2021, doi: 10.1088/1742-6596/1807/1/012026.

M. Rajamanogaran, S. Subha, S. Baghavathi Priya, and J. Sivasamy, “Contactless attendance management system using artificial intelligence,” J. Phys. Conf. Ser., vol. 1714, no. 1, pp. 1–14, 2021, doi: 10.1088/1742-6596/1714/1/012006.

R. Samaddar, A. Ghosh, S. D. Sarkar, M. Das, and A. Chakrabarty, “IoT & Cloud-based Smart Attendance Management System using RFID,” Int. Res. J. Adv. Sci. Hub, vol. 5, no. 03, pp. 111–118, 2023, doi: 10.47392/irjash.2023.020.

K. Alhanaee, M. Alhammadi, N. Almenhali, and M. Shatnawi, “Face recognition smart attendance system using deep transfer learning,” Procedia Comput. Sci., vol. 192, no. 1, pp. 4093–4102, 2021, doi: 10.1016/j.procs.2021.09.184.

T. O. Group, The TOGAF® Standard, 10th Edition — Introduction and Core Concepts. Van Haren Publishing, 2022.

K. V. de Oliveira, E. C. Fernandes, and M. Borsato, “A TOGAF-based framework for the development of sustainable product-service systems,” Procedia Manuf., vol. 55, no. C, pp. 274–281, 2021, doi: 10.1016/j.promfg.2021.10.039.

E. Kornyshova and R. Deneckère, “A Proposal of a Situational Approach for Enterprise Architecture Frameworks: Application to TOGAF,” Procedia Comput. Sci., vol. 207, no. 1, pp. 3493–3500, 2022, doi: 10.1016/j.procs.2022.09.408.

A. Josey, “The TOGAF® Business Architecture Foundation Study Guide,” in Preparation for the TOGAF Business Architecture Foundation Examination, Van Haren Publishing.

L. Liliana and J. F. Andry, Perancangan Enterprise Architecture Menggunakan Zachman Framework & TOGAF Adm. Penerbit Andi, 2024.

B. Hambling and P. van Goethem, User Acceptance Testing A Step-by-step Guide. BCS, 2013.

P. J. D. Chanda, Penetration Testing with Kali Linux Learn Hands-On Penetration Testing Using a Process-Driven Framework. Bpb Publications, 2021.

D. I. Mulyana, Sodik, A. S. Zidane, R. Hidayat, and F. Rochman, “Implementation of Academic Information System at Al-Inayah Pamulang Quran House, South Tangerang,” Int. J. Softw. Eng. Comput. Sci., vol. 4, no. 1, pp. 121–132, 2024, doi: 10.35870/ijsecs.v4i1.2201.

R. Sudrajat, B. N. Ruchjana, A. S. Abdullah, and R. Budiarto, “Web-based information system framework for the digitization of historical databases and endowments,” Int. J. Data Netw. Sci., vol. 8, no. 1, pp. 319–328, 2024, doi: 10.5267/j.ijdns.2023.9.022.

R. Salado-Cid, A. Vallecillo, K. Munir, and J. R. Romero, “SWEL: A Domain-Specific Language for Modeling Data-Intensive Workflows,” Bus. Inf. Syst. Eng., vol. 66, no. 2, pp. 137–160, 2024, doi: 10.1007/s12599-023-00826-7.

A. A. Alsamman, “Design and Implementation of a Heterogeneous Distributed Database System for Students Absence Automation Using Portable Devices,” Int. J. Comput. Digit. Syst., vol. 15, no. 1, pp. 1063–1074, 2024, doi: 10.12785/ijcds/150175.

M. A. Javed, M. Alam, M. A. Alam, R. Islam, and M. N. Ahsan, “Design and Implementation of Office Automation System based on Web Service Framework and Data Mining Techniques,” J. Data Anal. Inf. Process., vol. 12, no. 1, pp. 523–543, 2024, doi: 10.2991/icmemtc-16.2016.99.

D. I. Pirdaus and R. A. Hidayana, “Analysis Testing Black Box and White Box on Application To-Do List Based Web,” Int. J. Math. Stat. Comput., vol. 2, no. 2, pp. 68–75, 2024, doi: 10.46336/ijmsc.v2i2.95.

P. Long and J. Zhao, “Equivalence, identity, and unitarity checking in black-box testing of quantum programs,” J. Syst. Softw., vol. 211, 2024, doi: 10.1016/j.jss.2024.112000.

S. U. Rahman et al., “Failures and Repairs: An Examination of Software System Failure,” Bull. Bus. Econ., vol. 13, no. 1, pp. 1–23, 2024.

Y. E. Rachmad, L. Judijanto, S. S. Pettalongi, T. W. Nurdiani, and D. S. Oetomo, “Application of Rapid Application Development Method in Designing Customer Relationship Management Systems for National Insurance Companies,” Int. J. Appl. Eng. Technol. Copyrights @ Rom. Sci. Publ. Ins, vol. 6, no. 1, pp. 2633–4828, 2024.

I. G. Yogi, K. Mahendra, A. Agung, H. Susila, and D. Putra, “Optimizing Supply Chain Management in the Confectionery Industry with Odoo 16,” J. Inf. Syst. Informatics, vol. 6, no. 4, pp. 2207–2223, 2024, doi: 10.51519/journalisi.v6i4.886.

R. Isa et al., “FYPMS User Acceptance Testing : Ensuring User Satisfaction and System Success,” J. Adv. Res. Appl. Sci. Eng. Technol., vol. 1, no. 1, pp. 23–31, 2026, doi: 10.37934/araset.61.1.2331.

F. I. Erdi and A. Retnowardhani, “Optimization of Application Testing in Financial Companies Using Robotic Process Automation (RPA),” Econ. Rev. J., vol. 3, no. 1, pp. 96–108, 2024, doi: 10.56709/mrj.v3i4.595.

L. Antonelli, G. Camilleri, D. Torres, and P. Zaraté, “User acceptance test for software development in the agricultural domain using natural language processing,” J. Decis. Syst., vol. 33, no. 4, pp. 913–936, 2024, doi: 10.1080/12460125.2023.2229579.

G. Piras, F. Muzi, and V. A. Tiburcio, “Enhancing Space Management through Digital Twin: A Case Study of the Lazio Region Headquarters,” Appl. Sci., vol. 14, no. 17, pp. 1–22, 2024, doi: 10.3390/app14177463.

V. Hassija et al., “Interpreting Black-Box Models: A Review on Explainable Artificial Intelligence,” Cognit. Comput., vol. 16, no. 1, pp. 45–74, 2024, doi: 10.1007/s12559-023-10179-8.

L. Shen, Z. Zhang, Y. Zhou, and Y. Xu, “Applying Blockchain Technology and the Internet of Things to Improve the Data Reliability for Livestock Insurance,” Sensors, vol. 23, no. 14, pp. 1–16, 2023, doi: 10.3390/s23146290.

B. Y. Wedha and D. Hindarto, “Optimizing Transportation Services: Using TOGAF for Efficiency and Quality,” J. Comput. Networks, Archit. High Perform. Comput., vol. 6, no. 1, pp. 260–269, 2024, doi: 10.47709/cnahpc.v6i1.3407.




DOI: https://doi.org/10.30591/jpit.v10i2.8335

Refbacks

  • There are currently no refbacks.


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

JPIT INDEXED BY

  
  

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