Pengaruh Beban Kerja dan Dukungan Teknologi Terhadap Produktivitas Kerja

Authors

  • Ibrahim Bali Pamungkas Universitas Pamulang
  • Laura Komala Universitas Pamulang
  • Nanda Rodiyana Universitas Pamulang

DOI:

https://doi.org/10.24260/aktiva.v4i2.6506

Keywords:

workload, technology support, productivity, freelancer, digital economy

Abstract

Purpose: This research aims to analyze the effect of workload on freelancer productivity, the effect of technology support on freelancer productivity, and the simultaneous effect of both variables on freelancer productivity in the context of the rapidly growing digital economy.
Methodology: This study employs a quantitative associative approach. Data were collected through questionnaires distributed to 100 active freelancers working on digital platforms. The data were analyzed using multiple linear regression with SPSS, including validity tests, reliability tests, classical assumption tests, partial tests, simultaneous tests, and coefficient of determination to examine the relationships between variables.
Research Findings: The results indicate that workload and technology support significantly influence freelancer productivity both partially and simultaneously. Technology support emerges as the most dominant factor in enhancing productivity compared to workload, showing that digital tools, internet access, and technological capabilities play a crucial role in improving work efficiency.
Contribution: This study contributes to human resource management literature by developing an integrated model of technology utilization and workload on freelancer productivity. Its novelty lies in focusing on digital-platform freelancers, an underexplored workforce context, and examining both factors simultaneously. Practically, the findings highlight the importance of optimizing technology use and managing workload to support sustainable productivity.

Tujuan: Penelitian ini bertujuan untuk menganalisis pengaruh beban kerja terhadap produktivitas pekerja lepas, pengaruh dukungan teknologi terhadap produktivitas pekerja lepas, serta pengaruh keduanya secara simultan dalam konteks perkembangan ekonomi digital yang semakin pesat.
Metode: Penelitian ini menggunakan pendekatan kuantitatif asosiatif. Data dikumpulkan melalui kuesioner yang disebarkan kepada 100 pekerja lepas yang bekerja pada platform digital. Data dianalisis menggunakan regresi linear berganda dengan bantuan SPSS, yang meliputi uji validitas, uji reliabilitas, uji asumsi klasik, uji parsial, uji simultan, dan koefisien determinasi untuk menguji hubungan antarvariabel.
Temuan: Hasil penelitian menunjukkan bahwa beban kerja dan dukungan teknologi berpengaruh signifikan terhadap produktivitas pekerja lepas baik secara parsial maupun simultan. Dukungan teknologi terbukti menjadi faktor yang paling dominan dalam meningkatkan produktivitas, karena berperan dalam meningkatkan efisiensi kerja, mempercepat penyelesaian tugas, serta mempermudah komunikasi dan pengelolaan pekerjaan berbasis digital.
Kontribusi: Penelitian ini berkontribusi pada literatur manajemen sumber daya manusia dengan mengembangkan model terintegrasi mengenai pemanfaatan teknologi dan beban kerja terhadap produktivitas freelancer. Kebaruan penelitian ini terletak pada fokusnya terhadap freelancer pada platform digital, yang masih relatif kurang diteliti, serta menguji kedua faktor tersebut secara simultan. Secara praktis, temuan penelitian ini menekankan pentingnya mengoptimalkan penggunaan teknologi dan mengelola beban kerja untuk mendukung produktivitas pekerja lepas yang berkelanjutan.

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References

Bakker, A. B., & Demerouti, E. (2024). Job demands–resources theory: Frequently asked questions. Journal of Occupational Health Psychology, 29(3), 188. https://doi.org/10.1037/ocp0000376

Demerouti, E., & Bakker, A. B. (2023). Job demands-resources theory in times of crises: New propositions. Organizational Psychology Review, 13(3), 209–236. https://doi.org/10.1177/20413866221135022

Duggan, J., Sherman, U., Carbery, R., & McDonnell, A. (2020). Algorithmic management and app‐work in the gig economy: A research agenda for employment relations and HRM. Human Resource Management Journal, 30(1), 114–132. https://doi.org/10.1111/1748-8583.12258

Fansury, M. R. H., & Munawaroh, M. (2026). The Influence of Work Environment and Workload on Productivity Employees with Social Support as A Moderating Variable. KASTA: Jurnal Ilmu Sosial, Agama, Budaya Dan Terapan, 6(1), 581–592. https://doi.org/10.58218/kasta.v6i1.2361

Haryono, S., Supardi, S., & Udin, U. (2020). The effect of training and job promotion on work motivation and its implications on job performance: Evidence from Indonesia. Management Science Letters, 10(9), 2107–2112. https://doi.org/10.5267/j.msl.2020.1.019

Inceoglu, I., Vanacker, T., & Vismara, S. (2024). Digitalization and resource mobilization. British Journal of Management, 35(2), 576–593. https://doi.org/10.1111/1467-8551.12817

LePine, M. A. (2022). The challenge-hindrance stressor framework: An integrative conceptual review and path forward. Group & Organization Management, 47(2), 223–254. https://doi.org/10.1177/10596011221079970

Mandulangi, J. (2025). The Impact of Human Resource Digitalization through HRIS on Human Resource Management Efficiency: A Technology Acceptance Model Approach. Insight: Indonesian Journal of Social, Humanity, and Education, 1(3), 138–147. https://doi.org/10.70742/insight.v1i3.519

Ong, W. J., & Johnson, M. D. (2023). Toward a configural theory of job demands and resources. Academy of Management Journal, 66(1), 195–221. https://doi.org/10.5465/amj.2020.0493

Scholze, A., & Hecker, A. (2023). Digital job demands and resources: Digitization in the context of the job demands-resources model. International Journal of Environmental Research and Public Health, 20(16), 6581. https://doi.org/10.3390/ijerph20166581

Sharma, A. (2023). Human Resource Digital Transformation (HRDT): A Study of Innovation and Capability Through Digitalization and Individual Factors. Educational Administration: Theory And Practice, 29 (3), 394-412 https://doi.org/10.53555/Kuey.V29i35002

Suprapto, E., Mahaputra, M. R., & Mahaputra, M. R. (2023). Pengaruh Lingkungan Kerja, Motivasi terhadap Produktivitas Kerja Karyawan pada PT REMCO Jambi. Jurnal Ilmu Multidisplin, 1(4), 948–955. https://doi.org/10.38035/jim.v1i4.164

Tarafdar, M., Shan, G., Bennett Thatcher, J., & Gupta, A. (2022). Intellectual diversity in IS research: Discipline-based conceptualization and an illustration from information systems research. Information Systems Research, 33(4), 1490–1510. https://doi.org/10.1287/isre.2022.1176

Thesa, N. L., Kalpikawati, I. A., & Sadjuni, N. L. G. S. (2024). Pengaruh Beban Kerja Terhadap Kinerja Karyawan F&B Service Department Di Intercontinental Bali Resort. Journal of Hotel Management, 2(1), 1–9. https://doi.org/10.52352/jhm.v2i1.1597

Venkatesh, V. (2022). Adoption and use of AI tools: a research agenda grounded in UTAUT. Annals of Operations Research, 308(1), 641–652. https://doi.org/10.1007/s10479-020-03918-9

Wood, A. J., & Lehdonvirta, V. (2021). Antagonism beyond employment: how the ‘subordinated agency’of labour platforms generates conflict in the remote gig economy. Socio-Economic Review, 19(4), 1369–1396. https://doi.org/10.1093/ser/mwab016

Zacher, H., & Rudolph, C. W. (2024). Workplace digitalization and workload: changes and reciprocal relations across 3 years. Scientific Reports, 14(1), 5924. https://doi.org/10.1038/s41598-024-56537-w

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Published

2026-08-26

How to Cite

Pengaruh Beban Kerja dan Dukungan Teknologi Terhadap Produktivitas Kerja. (2026). AKTIVA: Journal of Accountancy and Management, 4(2). https://doi.org/10.24260/aktiva.v4i2.6506