Analysis of the Use of IoT in Attendance Management and Productivity Monitoring on Employee Performance and Operational Efficiency in Central Java Manufacturing Industry

Authors

  • Budi Sulistiyo Nugroho PEM Akamigas
  • M. Syahputra Universitas Syedza Saintika
  • Amalia Hanifa Politeknik LP3I
  • Ihsan Werleam Universitas Syedza Saintika
  • Chevy Herli Sumerli A. Universitas Pasundan

DOI:

https://doi.org/10.58812/wsshs.v2i10.1359

Keywords:

Internet of Things, Attendance Management, Productivity Monitoring, Employee Performance, Operational Efficiency

Abstract

This study investigates the impact of Internet of Things (IoT) usage in attendance management and productivity monitoring on employee performance and operational efficiency in the manufacturing industry of Central Java. Using a quantitative approach, data were collected from 270 respondents and analyzed with Structural Equation Modeling-Partial Least Squares (SEM-PLS 3). The results indicate that IoT-driven systems in both attendance management and productivity monitoring have a significant positive effect on employee performance and operational efficiency. Specifically, IoT-enabled attendance management improves workforce accountability and discipline, while productivity monitoring enhances real-time feedback and workflow optimization. These findings highlight the critical role of IoT technology in transforming workforce and operational management in manufacturing, contributing to improved performance and efficiency. The study provides valuable insights for decision-makers in the manufacturing industry regarding the adoption of IoT technologies to enhance competitiveness and operational outcomes.

References

U. C. Anozie, K. Pieterson, O. B. Onyenahazi, U. O. Chukwuebuka, and P. C. Ekeocha, “Integration of IoT technology in lean manufacturing for real-time supply chain optimization,” Int. J. Sci. Res. Arch., vol. 12, no. 2, pp. 1948–1957, 2024.

S. Kanungo, “REVOLUTIONIZING DATA PROCESSING: ADVANCED CLOUD COMPUTING AND AI SYNERGY FOR IOT INNOVATION,” Int. Res. J. Mod. Eng. Technol. Sci., vol. 2, pp. 1032–1040, 2020.

Y. Sun and H. Jung, “Machine Learning (ML) Modeling, IoT, and Optimizing Organizational Operations through Integrated Strategies: The Role of Technology and Human Resource Management,” Sustainability, vol. 16, no. 16, p. 6751, 2024.

F. Prieto-Díeza, Á. Postigo, M. Cuesta, and J. Muñiz, “Work Engagement: Organizational Attribute or Personality Trait? | El compromiso laboral: ¿atributo organizacional o rasgo de personalidad?,” Rev. Psicol. del Trab. y las Organ., vol. 38, no. 2, pp. 85–92, 2022.

K. C. Rath, A. Khang, S. K. Mishra, P. K. Patnaik, G. K. Mohanty, and T. Dash, “Integration of Artificial Intelligence and Internet of Things Technology Solutions in Smart Manufacturing,” in Machine Vision and Industrial Robotics in Manufacturing, CRC Press, 2024, pp. 155–177.

P. C. Rahayu and K. A. Wicaksono, “Real time OEE monitoring for intelligent manufacture technology,” in 2024 15th International Conference on Mechanical and Intelligent Manufacturing Technologies (ICMIMT), IEEE, 2024, pp. 80–83.

T. C. A. Kumar, M. H. Krishna, R. Sobti, B. Ilavarasan, and B. B. Nayak, “Applications of AI to Optimize Operations in the Management of Manufacturing,” in 2024 International Conference on Communication, Computer Sciences and Engineering (IC3SE), IEEE, 2024, pp. 1520–1525.

A. K. Rai, S. R. Bana, D. S. Sachan, and B. Singh, “Advancing Sustainable Agriculture: A Comprehensive Review for Optimizing Food Production and Environmental Conservation,” Int. J. Plant Soil Sci, vol. 35, no. 16, pp. 417–425, 2023.

S. M. R. Zaidi, A. Alam, and M. Y. Khan, “Enhancing Efficiency in Advanced Manufacturing through IoT Integration,” Eng. Headw., vol. 11, pp. 55–61, 2024.

A. Kurniawan, B. Y. Santoso, D. Aditya, A. Setiawan, and R. Susanto, “Sistem Presensi Dan Penggajian Karyawan Menggunakan Teknologi RFID Dengan Fitur Penggajian Otomatis,” Uranus J. Ilm. Tek. Elektro, Sains dan Inform., vol. 2, no. 3, pp. 93–111, 2024.

P. S. Garg, S. Sharma, A. Singh, and N. Kumar, “AI‐Based Surveillance Systems for Effective Attendance Management: Challenges and Opportunities,” Math. Model. Using Artif. Intell. Surveill. Syst., pp. 69–89, 2024.

V. Chauhan, H. Singh, K. Dewari, and I. Kumar, “Efficient Employee Tracking with Smart Attendance System Using Advanced Face Recognition and Geofencing,” in 2024 2nd International Conference on Sustainable Computing and Smart Systems (ICSCSS), IEEE, 2024, pp. 750–755.

G. B. Mohammed, S. Selvarajan, A. R. Kumar, K. Sangeetha, A. O. Khadidos, and S. Vatchala, “An Analytical Framework for the Industrial Internet of Things (IIoT): Importance, Recent Challenges, and Enabling Technologies,” in Industry Automation: The Technologies, Platforms and Use Cases, River Publishers, pp. 1–23.

S. A. Zahra and M. Wright, “Understanding the Social Role of Entrepreneurship,” J. Manag. Stud., vol. 53, no. 4, pp. 610–629, 2016, doi: 10.1111/joms.12149.

P. N. Paul and T. A. Jones, “Survey of Industrial Internet of Things (IIoT) in Industry Developments and Advanced Techniques,” in 2024 3rd International Conference on Applied Artificial Intelligence and Computing (ICAAIC), IEEE, 2024, pp. 1848–1855.

Amelia Setyawati, Amelia Suggangga, Nyuherno Aris Wibowo, Adelia Rahma, and Farij Ibadil Maula, “Ability To Use Digitalization In Increasing The Competitive Advantages Of Msmes In Indonesia: Systematic Literature Review (SLR),” Int. J. Econ. Manag. Res., vol. 2, no. 2, pp. 48–65, Jul. 2023, doi: 10.55606/ijemr.v2i2.94.

R. S. Efendi et al., “SISTEM PERTANIAN BERKELANJUTAN SEBAGAI SOLUSI PERTANIAN LAHAN KERING DI DESA GAPURA KECAMATAN PUJUT KABUPATEN LOMBOK TENGAH,” J. Wicara Desa, vol. 1, no. 5, pp. 704–712, 2023.

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.

Y. Xu, Y. Qamsane, S. Puchala, A. Januszczak, D. M. Tilbury, and K. Barton, “A data-driven approach toward a machine-and system-level performance monitoring digital twin for production lines,” Comput. Ind., vol. 157, p. 104086, 2024.

G. Singh, L. Priya, P. Kumar, J. Karthika, T. Saikumar, and M. S. Nidhya, “Analysis of Internet of Things-Integrated Technology in a Smart Factory,” in Machine Vision and Industrial Robotics in Manufacturing, CRC Press, 2025, pp. 368–384.

W. S. Kim and H. Kiymaz, “Founder CEOs, business groups and firm value: evidence from an emerging market,” Int. J. Emerg. Mark., vol. 18, no. 5, pp. 1102–1123, Jan. 2023, doi: 10.1108/IJOEM-05-2019-0351.

I. G. A. W. Adriati and N. L. P. Sariani, “TEKNIK MANAJEMEN SUMBER DAYA MANUSIA YANG EFEKTIF DI ERA BISNIS MODERN UNTUK MENINGKATKAN KINERJA PEGAWAI,” JMM UNRAM-MASTER Manag. J., vol. 13, no. 2, pp. 118–127, 2024.

A. Alkahtani, N. Nordin, and R. U. Khan, “Does government support enhance the relation between networking structure and sustainable competitive performance among SMEs?,” J. Innov. Entrep., vol. 9, no. 1, Dec. 2020, doi: 10.1186/s13731-020-00127-3.

S. D. Widodo, “The Role of Digital Transformation in Improving Employee Performance,” in Journal of International Conference Proceedings, 2024, pp. 109–118.

A. A. Fatah, “Optimasi Produktivitas Karyawan melalui Pelatihan, Disiplin, dan Motivasi Kerja,” PRODUKTIF J. Kepegawai. dan Organ., vol. 3, no. 1, pp. 10–18, 2024.

C. Feng and D. A. Ali, “Leveraging digital transformation and ERP for enhanced operational efficiency in manufacturing enterprises,” J. Law Sustain. Dev., vol. 12, no. 3, pp. e2455–e2455, 2024.

M. Al-Rifai, “Mapping the path to efficiency: harnessing value stream mapping (VSM) and lean tools for streamlined electronic device manufacturing,” Meas. Bus. Excell., 2024.

J. F. Hair, J. J. Risher, M. Sarstedt, and C. M. Ringle, “When to use and how to report the results of PLS-SEM,” Eur. Bus. Rev., vol. 31, no. 1, pp. 2–24, 2019, doi: https://doi.org/10.1108/EBR-11-2018-0203.

A. K. Pasayat, B. Bhowmick, and R. Roy, “Factors responsible for the success of a start-up: A meta-analytic approach,” IEEE Trans. Eng. Manag., vol. 70, no. 1, pp. 342–352, 2020.

H. He and Y. Li, “CSR and service brand: The mediating effect of brand identification and moderating effect of service quality,” J. Bus. ethics, vol. 100, pp. 673–688, 2011.

S. L. Albrecht, A. B. Bakker, J. A. Gruman, W. H. Macey, and A. M. Saks, “Employee engagement, human resource management practices and competitive advantage: An integrated approach,” J. Organ. Eff. People Perform., vol. 2, no. 1, pp. 7–35, 2015.

J. M. Vardaman, W. E. Tabor, D. C. Hargrove, and F. Zhou, “Reducing agency costs through recruitment: staffing referrals and family business success,” J. Fam. Bus. Manag., 2023.

C. Fornell and D. F. Larcker, “Evaluating structural equation models with unobservable variables and measurement error,” J. Mark. Res., vol. 18, no. 1, pp. 39–50, 1981.

P. Enis and S. Geisser, “Optimal predictive linear discriminants,” Ann. Stat., pp. 403–410, 1974.

E. A. Sitompul et al., “Implementing Fingerprint Attendance with Fuzzy Logic enhances employee attendance efficiency in a modern workplace,” J. Appl. Sci. Technol. Humanit., vol. 1, no. 1, pp. 49–71, 2024.

A. Mishra, J. K. Shah, R. Sharma, M. Sharma, S. Joshi, and D. Kaushal, “Enhancing Efficiency in Industrial Environments through IoT Connected Worker Solutions: Smart Wearable Technologies for the Workplace,” in 2023 International Conference on Advances in Computation, Communication and Information Technology (ICAICCIT), IEEE, 2023, pp. 1175–1179.

K. R. K. Yesodha, A. Jagadeesan, V. Gowrishankar, and J. Logeshwaran, “IOT Enabled Real Time Data Exchange to Resolve Bottlenecks and Streamline Workflow in Factories,” in 2023 4th International Conference on Communication, Computing and Industry 6.0 (C216), IEEE, 2023, pp. 1–7.

V. Patel, A. Chesmore, C. M. Legner, and S. Pandey, “Trends in workplace wearable technologies and connected‐worker solutions for next‐generation occupational safety, health, and productivity,” Adv. Intell. Syst., vol. 4, no. 1, p. 2100099, 2022.

N. Sawatenarakul and K. Nanthasudsawaeng, “Causal Factors of Enhancing Employee Loyalty towards Organization,” Rajabhat Chiang Mai Res. J., vol. 24, no. 2, pp. 87–97, 2023.

Y. Zheng, H. Meng, X. Xie, and S. Shi, “Dynamics of climate change, drought and migration: a mixed method research in ningxia,” Chinese J. Urban Environ. Stud., vol. 5, no. 03, p. 1750021, 2017.

P. C. Lukito and R. M. Oktaviani, “Pengaruh Fixed Asset Intensity, Karakter Eksekutif, dan Leverage terhadap Penghindaran Pajak,” Owner, vol. 6, no. 1, pp. 202–211, 2022, doi: 10.33395/owner.v6i1.532.

A. H. Ikevuje, D. C. Anaba, and U. T. Iheanyichukwu, “Optimizing supply chain operations using IoT devices and data analytics for improved efficiency,” Magna Sci. Adv. Res. Rev., vol. 11, no. 2, pp. 70–79, 2024.

A. Bhatt, T. Singh, S. Pandey, A. S. Chauhan, R. Kumar, and G. Sunil, “Monitoring of Smart Human Resource (HR) Using Artificial Intelligence and Internet of Things,” in 2024 3rd International Conference on Sentiment Analysis and Deep Learning (ICSADL), IEEE, 2024, pp. 613–617.

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Published

2024-10-29

How to Cite

Nugroho, B. S., Syahputra, M., Hanifa, A., Werleam, I., & Sumerli A., C. H. (2024). Analysis of the Use of IoT in Attendance Management and Productivity Monitoring on Employee Performance and Operational Efficiency in Central Java Manufacturing Industry. West Science Social and Humanities Studies, 2(10), 1656–1668. https://doi.org/10.58812/wsshs.v2i10.1359