Predictive Analytics in Attendance Systems for Employee Productivity and Accountability
DOI:
https://doi.org/10.33050/itee.v3i2.718Keywords:
Employee, Attendance Systems, Machine Learning, SmartPLS, ProductivityAbstract
The integration of predictive analytics in attendance systems is becoming a critical approach to improving employee productivity and accountability. However, its impact on technology readiness, employee engagement, and attendance regularity remains underexplored, particularly in educational and professional settings. This study aims to evaluate how Predictive Analytics Utilization (PAU) influences Technology Readiness (TR) and Employee Engagement (EE), and how these variables contribute to Attendance Regularity (AR) and overall employee satisfaction. A quantitative approach was employed using Structural Equation Modeling (SEM) with SmartPLS 4.1. Data were gathered via 40 item questionnaires distributed to Information Systems students at Raharja University. Each variable PAU, TR, EE, and AR was measured through 10 questions to ensure robust data collection and analysis. The findings demonstrate a strong model fit, with R² values of 0.895 for AR, 0.701 for EE, and 0.847 for TR. PAU significantly influences TR and EE, which in turn positively affect AR. Higher levels of technology readiness and engagement enhance attendance regularity, reflecting the effectiveness of predictive analytics. This study highlights the pivotal role of predictive analytics in fostering technological readiness, enhancing employee engagement, and improving attendance regularity. Organizations can leverage these findings to optimize their systems and achieve a more productive workforce. Future research should explore diverse population samples, different organizational contexts, and the integration of advanced analytics tools, such as AI and IoT, to further enhance attendance systems and employee outcomes.
References
K. Ishaq and S. Bibi, “Iot based smart attendance system using rfid: A systematic literature review,” arXiv preprint arXiv:2308.02591, 2023.
C. S. Bangun, T. Suhara, and H. Husin, “The application of theory of planned behavior and perceived value on online purchase behavior,” Technomedia Journal, vol. 8, no. 1 Special Issues, pp. 123–134, 2023.
M. Anuradha and K. J. Rani, “Predictive analytics in hr: Using ai to forecast employee turnover and improve succession planning,” Zibaldone Estudios italianos, vol. 11, no. 2, pp. 157–173, 2024.
S. A. Anjani and I. A. Mutiara, “Mengintegrasikan teknologi blockchain dalam pendidikan tinggi: Meningkatkan transparansi dan keamanan dalam kredensial akademik,” ADI Pengabdian Kepada Masyarakat, vol. 5, no. 1, pp. 65–71, 2024.
I. Khong, N. A. Yusuf, A. Nuriman, and A. B. Yadila, “Exploring the impact of data quality on decisionmaking processes in information intensive organizations,” APTISI Transactions on Management, vol. 7, no. 3, pp. 253–260, 2023.
D. Vereb, Z. Krajcsak, and A. Koz ´ ak, “The importance of positive employee experience and its develop- ´ ment through using predictive analytics,” Journal of Modelling in Management, vol. 20, no. 1, pp. 51–69, 2025.
B. Rawat, S. Purnama et al., “Mysql database management system (dbms) on ftp site lapan bandung,” International Journal of Cyber and IT Service Management, vol. 1, no. 2, pp. 173–179, 2021.
A. Sutarman, J. Williams, D. Wilson, and F. B. Ismail, “A model-driven approach to developing scalable educational software for adaptive learning environments,” International Transactions on Education Technology (ITEE), vol. 3, no. 1, pp. 9–16, 2024.
I. Hidayat and P. O. Sutria, “The influence of determined tax load, tax planning, and profitability in profit management in the company manufacturing the mining sector, the coal sub sector listed on the indonesia stock exchange year,” APTISI Transactions on Management, vol. 7, no. 1, pp. 79–85, 2023.
H. R. Ngemba, A. Fitriani, and L. O’Connor, “Pemberdayaan creativepreneur muda melalui pelatihan digital di era transformasi teknologi,” ADI Pengabdian Kepada Masyarakat, vol. 5, no. 1, pp. 49–56, 2024.
A. G. Prawiyogi and A. S. Anwar, “Stages of using ward and peppard methods in information system strategic planning,” ADI Journal on Recent Innovation, vol. 3, no. 1, pp. 78–86, 2021.
A. A. Saputra, “Pengaruh kompensasi, lingkungan kerja dan beban kerja terhadap kepuasan kerja karyawan,” Technomedia Journal, vol. 7, no. 1 Juni, pp. 68–77, 2022.
N. F. A. M. Fadzil, H. M. Fadzir, H. Mansor, and U. Rahardja, “Driver behaviour classification: A research using obd-ii data and machine learning,” Journal of Advanced Research in Applied Sciences and Engineering Technology, pp. 51–61, 2024.
T. A. Wiratno and B. Callula, “Transformation of beauty in digital fine arts aesthetics: An artpreneur perspective,” Aptisi Transactions on Technopreneurship (ATT), vol. 6, no. 2, pp. 231–241, 2024.
B. Bhima, A. R. A. Zahra, T. Nurtino, and M. Z. Firli, “Enhancing organizational efficiency through the integration of artificial intelligence in management information systems,” APTISI Transactions on Management, vol. 7, no. 3, pp. 282–289, 2023.
S. Martinez, J. C. Rodr´ıguez, and S. Lestari, “Exploring digital circular economy principles in educational institutions,” International Transactions on Education Technology (ITEE), vol. 3, no. 1, pp. 17–25, 2024.
A. Khang, K. C. Rath, B. K. Mishra, R. R. Rautrao, and L. P. Panda, “Future directions and challenges in designing workforce management systems for industry 4.0,” in AI-Oriented Competency Framework for Talent Management in the Digital Economy. CRC Press, 2024, pp. 1–27.
G. P. Widodo and M. Syukri, “Elements of commerce shows enterprise development innovation efficient auditing and the way of the future,” ADI Journal on Recent Innovation, vol. 3, no. 1, pp. 97–104, 2021.
T. A. D. Lael and D. A. Pramudito, “Use of data mining for the analysis of consumer purchase patterns with the fpgrowth algorithm on motor spare part sales transactions data,” IAIC Transactions on Sustainable Digital Innovation (ITSDI), vol. 4, no. 2, pp. 128–136, 2023.
S. Lestari, S. Watini, and D. E. Rose, “Impact of self-efficacy and work discipline on employee performance in sociopreneur initiatives,” Aptisi Transactions on Technopreneurship (ATT), vol. 6, no. 2, pp. 270–284, 2024.
S. Watini, G. Davies, and N. Andersen, “Cybersecurity in learning systems: Data protection and privacy in educational information systems and digital learning environments,” International Transactions on Education Technology (ITEE), vol. 3, no. 1, pp. 26–35, 2024.
S. Wijono, U. Rahardja, H. D. Purnomo, N. Lutfiani, and N. A. Yusuf, “Leveraging machine learning models to enhance startup collaboration and drive technopreneurship,” Aptisi Transactions on Technopreneurship (ATT), vol. 6, no. 3, pp. 432–442, 2024.
S. Lestari and E. T. Persada, “Peran pendidikan sosial dan kreativitas digital dalam pemberdayaan masyarakat era digital,” ADI Pengabdian Kepada Masyarakat, vol. 5, no. 1, pp. 27–32, 2024.
R. A. Wismashanti, “Komunikasi dalam platform online crowdfunding: Tinjauan literatur sistematis,” Technomedia Journal, vol. 8, no. 3, pp. 50–63, 2024.
A. Dudhat and V. Agarwal, “Indonesia’s digital economy’s development,” IAIC Transactions on Sustainable Digital Innovation (ITSDI), vol. 4, no. 2, pp. 109–118, 2023.
M. G. Hardini, N. A. Yusuf, A. R. A. Zahra et al., “Convergence of intelligent networks: Harnessing the power of artificial intelligence and blockchain for future innovations,” ADI Journal on Recent Innovation, vol. 5, no. 2, pp. 200–209, 2024.
I. Handayani, D. Apriani, M. Mulyati, A. R. A. Zahra, and N. A. Yusuf, “Enhancing security and privacy of patient data in healthcare: A smartpls analysis of blockchain technology implementation,” IAIC Transactions on Sustainable Digital Innovation (ITSDI), vol. 5, no. 1, pp. 8–17, 2023.
O. A. Alabi, F. A. Ajayi, C. A. Udeh, and C. P. Efunniyi, “Data-driven employee engagement: A pathway
to superior customer service,” World Journal of Advanced Research and Reviews, vol. 23, no. 3, 2024.
H. Haryansyah, H. Hadriansa, and R. Ardiansyah, “Scheduling uses the blynk 2.0 automations feature for effective ornamental fish feeding,” APTISI Transactions on Management, vol. 7, no. 2, pp. 170–178, 2023.
S. Raihana and R. Rojali, “Penguatan ekonomi kreatif lokal melalui pelatihan kewirausahaan digital di komunitas masyarakat,” ADI Pengabdian Kepada Masyarakat, vol. 5, no. 1, pp. 33–41, 2024.
W. Setyowati, R. Widayanti, and D. Supriyanti, “Implementation of e-business information system in indonesia: Prospects and challenges,” International Journal of Cyber and IT Service Management, vol. 1, no. 2, pp. 180–188, 2021.
B. Rawat, N. Mehra, A. S. Bist, M. Yusup, and Y. P. A. Sanjaya, “Quantum computing and ai: Impacts & possibilities,” ADI Journal on Recent Innovation, vol. 3, no. 2, pp. 202–207, 2022.
