Pengaruh Artificial Intelligence terhadap Kinerja Karyawan dengan Kesiapan Teknologi sebagai Variabel Moderasi pada PT Anugerah Karya Lautan Berkah
DOI:
https://doi.org/10.32493/drb.v9i3.58144Keywords:
Artificial Intelligence, Kinerja Karyawan, Kesiapan Teknologi, Sumber Daya ManusiaAbstract
Perkembangan Artificial Intelligence (AI) mendorong peningkatan efisiensi dan kualitas kerja karyawan melalui otomatisasi ataupun pertimbangan keputusan. Penelitian ini bertujuan untuk meneliti dampak pemanfaatan Artificial Intelligence terhadap Kinerja Karyawan pada PT Anugerah Karya Lautan Berkah yang di moderasi oleh kesiapan teknologi. Studi ini menggunakan metode kuantitatif dengan sampling jenuh terhadap 34 karyawan yang memanfaatkan Artificial Intelligence dalam proses kerja, hubungan antar variabel di uji menggunakan SEM PLS. Hasil penelitian menunjukkan Artificial Intelligence berpengaruh positif dan signifikan terhadap kinerja karyawan dengan T statistic 4,596 > 1,645 dan P value 0,000 < 0.05. Namun, kesiapan teknologi tidak memoderasi hubungan tersebut secara signifikan dengan T statistic 1,188 < 1,645 dan P value 0,117 > 0,05, meskipun menunjukkan arah hubungan yang positif. Temuan ini mengindikasikan bahwa perusahaan perlu mengoptimalkan pemanfaatan Artificial Intelligence untuk meningkatkan kinerja karyawan, sementara kesiapan teknologi lebih berperan sebagai faktor pendukung.
References
Alarefi, M. (2024). The Impact of Artificial Intelligence on Business Performance in Saudi Arabia: The Role of Technological Readiness and Data Quality. Engineering, Technology & Applied Science Research, 14(5), 16802–16807.
Alenezi, A., Alshammari, M. H., & Ibrahim, I. A. (2024). Optimizing Nursing Productivity: Exploring the Role of Artificial Intelligence, Technology Integration, Competencies, and Leadership. Journal of Nursing Management, 2024, Article ID 8371068. https://doi.org/10.1155/2024/8371068
Budianto, S., Rahadian, D., & Yunita, I. (2025). The emerging landscape of AI-powered leadership: transforming roles and organizations. Journal of Lifestyle & SDG’S Review, 5, 1–17.
Chan, Chung, D. K., Yeung, A. S., Wai, T. C., Kwan, J. S., Martin, S., King, D., Chan, C., Sing, A., Lee, Y., Chor, T., & Tang, W. (2023). Young children’s motivations and social cognitions toward swimming: Testing direct and moderation effects of sport competence in two large-scale studies. Journal of Sports Sciences, 00(00), 1–15. https://doi.org/10.1080/02640414.2023.2241782
Damioli, G., Roy, V. Van, & Vertesy, D. (2021). The impact of artificial intelligence on labor productivity. Eurasian Business Review. https://doi.org/10.1007/s40821-020-00172-8
Gusti, M. A., Satrianto, A., Candrianto, Juniardi, E., & Fitra, H. (2024). Artificial intelligence for employee engagement and productivity. Problems and Perspectives in Management, 22(3). https://doi.org/10.21511/ppm.22(3).2024.14
Hamid, R. A. (2022). The Role of Employees’ Technology Readiness, Job Meaningfulness and Proactive Personality in Adaptive Performance. Sustainability (Switzerland).https://doi.org/10.3390/su142315696
Jamil, K., Zhang, W., Anwar, A., & Mustafa, S. (2025). Exploring the Influence of AI Adoption and Technological Readiness on Sustainable Performance in Pakistani Export Sector Manufacturing Small and Medium-Sized Enterprises. Sustainability (Switzerland), 17, 3599. https://doi.org/10.3390/su17083599
Klein, R. A., Vianello, M., Hasselman, F., Adams, B. G., Adams, R. B., Alper, S., Aveyard, M., Axt, J. R., & Babalola, M. T. (2018). Many Labs 2: Investigating Variation in Replicability Across Samples and Settings. Advances in Methods and Practices in Psychological Science, 1(4), 443–490. https://doi.org/10.1177/2515245918810225
Krijgsheld, M., Tummers, L. G., & Scheepers, F. E. (2022). Job performance in healthcare : a systematic review. BMC Health Services Research, 5, 1–17. https://doi.org/10.1186/s12913-021-07357-5
Kushariyadi, H., Apriyanto, Herdiana, Y., Asy’ari, F. H., Judijanto, L., Pasrun, Y. P., & Mardikawati, B. (2024). Artificial Intelligence : Dinamika Perkembangan AI Beserta Penerapannya (Y. Agusdi (ed.)). PT. Sonpedia Publishing Indonesia.
Malik, N., & Tripathi, S. N. (2021). Impact of artificial intelligence on industry AI led organizations. International Journal of Manpower. https://doi.org/10.1108/IJM-03-2021-0173
Mirbabaie, M., Brünker, F., Möllmann, N. R. J., & Stefan, F. (2022). The rise of artificial intelligence – understanding the AI identity threat at the workplace. Electronic Markets, 73–99. https://doi.org/10.1007/s12525-021-00496-x
Noy, S., & Zhang, W. (2023). Experimental Evidence on the Productivity Effects of Generative Artificial Intelligence. Science, 381(6654), 187–192. https://doi.org/10.1126/science.adh2586
Parasuraman, A. (2000). Index ( TRI ) A Multiple-Item Scale to Embrace New Technologies. Journal of Service Research, 2(4), 307–320.
Parasuraman, A., & Colby, C. L. (2015). An Updated and Streamlined Technology Readiness Index: TRI 2.0. Journal of Service Research, 18(1), 1–16. https://doi.org/10.1177/1094670514539730
Perkasa, D. H., Arbaina, C., Purwanto, S., Ovi, H., & Tarmiji, A. (2023). Pengaruh Kedisiplinan, Kepemimpinan dan Lingkungan Kerja terhadap Kinerja Karyawan. AGILITY: Lentera Manajemen Sumber Daya Manusia, 1(02), 47–59. https://doi.org/10.59422/lmsdm.v1i02.84
Presbitero, A., & Teng-calleja, M. (2021). Job attitudes and career behaviors relating to employees’ perceived incorporation of artificial intelligence in the workplace: a career self-management perspective. Personnel Review, 52(4), 1169–1187. https://doi.org/10.1108/PR-02-2021-0103
Raisch, S., & Krakowski, S. (2020). Artificial intelligence and management: the automation-augmentation paradox Review Essay. Academy of Management Review, 45(1), 1–48.
Rožman, M., Oreški, D., & Tominc, P. (2023). Artificial-Intelligence-Supported Reduction of Employees’ Workload to Increase the Company’ s Performance in Today’ s VUCA Environment. Sustainability (Switzerland), 15. https://doi.org/10.3390/su15065019
Sadad, A., Anggraeni, A. F., & Komar, D. (2025). Human – AI Collaboration dalam Praktik Digital HRM. JMBI: Jurnal Manajemen Bisnis Dan Informatika, 6(1), 31–41. https://doi.org/10.31967/prodimanajemen.v6i1.1547
Saleh, C., Hayat, H., Sumartono, S., & Pratiwi, R. N. (2020). Moderating of Religiosity on Reward and Engagement : Empirical Study in Indonesia Public Service. Journal of Asian Finance, Economics and Business, 7(6), 287–296. https://doi.org/10.13106/jafeb.2020.vol7.no6.287
Sardiana, A. (2021). Moderating Knowledge on Planned Behaviour Theory Toward Intention of Using Islamic Financial Services. Li Falah-Jurnal Studi Ekonomi Dan Bisnis Islam, 6(1), 92–108.
Shaikh, F., Afshan, G., Anwar, R. S., Abbas, Z., & Chana, K. A. (2023). Analyzing the impact of artificial intelligence on employee productivity: The mediating effect of knowledge sharing and well‐being. Asia Pacific Journal of Human Resources, 61. https://doi.org/10.1111/1744-7941.12385
Sholikhah, A. I., Andriani, D., & Firdaus, V. (2025). Gaya Kepemimpinan Transformasional , Self Efficacy , dan Work Environment Terhadap Kinerja Karyawan Perusahaan Furnitures. Jurnal Disrupsi Bisnis, 8(6), 660–672.
Sugiyono. (2023). Metode penelitian kuantitatif, kualitatif dan R&D (Sutopo (ed.); Edisi Kedu). Alfabeta.
Thangaraju, K., & Palani, P. (2025). Design and assessment of ai-enabled sustainable hr practices affecting employee performance with engagement mediation and personality moderation in the indian it industry. Eastern-European Journal of Enterprise Technologies, 13, 78–86. https://doi.org/10.15587/1729-4061.2025.325623
Tong, S., Jia, N., Luo, X., & Fang, Z. (2021). The Janus face of artificial intelligence feedback: Deployment versus disclosure effects on employee performance. Strategic Management Journal, 42(9), 1600–1631. https://doi.org/10.1002/smj.3322
Warsuta, B., Muharram, A. T., Yusdisti, I., & Jasmine, S. A. (2021). Pengukuran tingkat kesiapan implementasi e-learning di politeknik negeri jakarta. Jurnal Teknologi Terpadu, 7(2), 93–97.
Wijayati, D. T., & Rahman, Z. (2022). A study of artificial intelligence on employee performance and work engagement : the moderating role of change leadership. International Journal of Manpower, 43(2), 486–512. https://doi.org/10.1108/IJM-07-2021-0423
Yang, C.-H. (2022). How Artificial Intelligence Technology Affect Productivity and Employment: Firm Level Evidence from Taiwan. Research Policy, 51(6). https://doi.org/10.1016/j.respol.2022.104536
Yin, M., Jiang, S., & Niu, X. (2023). Can AI really help? The double-edged sword effect of AI assistant on employees’ innovation behavior. Computers in Human Behavior, 150. https://doi.org/10.1016/j.chb.2023.107987
Zehri, A. W., Abdelwahed, N. A. A., & Soomro, B. A. (2024). The role of digital technology and digital innovation towards firm performance in a digital economy. Kybernetes, 53. https://doi.org/10.1108/K-01-2023-0124
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