The Impact of Artificial Intelligence and Work Training on Human Resource Performance: A Case Study of PT Satria Bahana Sarana
DOI:
https://doi.org/10.59188/eduvest.v5i3.50942Keywords:
Digital Transformation, Workforce Training, AI in HR, Structural Equation ModelingAbstract
This study aims to analyze the influence of artificial intelligence (AI) and work training on human resource performance at PT Satria Bahana Sarana (SBS). The research employed a quantitative approach with data collection conducted through questionnaires distributed to 165 office employees as respondents. Data analysis was performed using Partial Least Squares-Structural Equation Modeling (PLS-SEM) to test the research hypotheses. The findings indicate that artificial intelligence has a significant and positive effect on HR performance with a path coefficient of 0.47 (p < 0.01), suggesting enhanced efficiency and productivity in the workplace. Work training also contributes positively and significantly with a path coefficient of 0.38 (p < 0.01), where structured training programs prove to improve employee competencies and facilitate the achievement of organizational objectives. The research model yielded an R-square value of 0.622, indicating that artificial intelligence and work training collectively explain 62.2% of the variance in HR performance, while the remaining 37.8% is influenced by variables outside the model. This study highlights the crucial role of AI integration and comprehensive work training programs as key strategies for optimizing employee performance in the era of digital transformation.
References
Akbar, M., Suhrah, S., Wahid, A., & Afnir, N. (2022). Islamic Boarding School as a Role Model for Character Education. KnE Social Sciences, 2022, 623–632. https://doi.org/10.18502/kss.v7i8.10780
Arikunto, S. (1992). Prosedur Penelitian: Suata Pendekatan Praktek. Rineka Cipta. https://books.google.co.id/books?id=aO5BAQAACAAJ
Devianto, Y., & Dwiasnati, S. (2020). Kerangka Kerja Sistem Kecerdasan Buatan dalam Meningkatkan Kompetensi Sumber Daya Manusia Indonesia. Jurnal Telekomunikasi Dan Komputer, 10(1), 19. https://doi.org/10.22441/incomtech.v10i1.7460
Fitri, M. A., MDK, H., & Putri, I. D. (2023). Pengaruh Pelatihan Kerja Dan Kompensasi Terhadap Kinerja Pegawai Dinas Pemadam Kebakaran Dan Penyelamatan Kota Bengkulu. EKOMBIS REVIEW: Jurnal Ilmiah Ekonomi Dan Bisnis, 11(1), 329–342. https://doi.org/10.37676/ekombis.v11i1.2912
Goodhue, D. L., & Thompson, R. L. (1995). Task-technology fit and individual performance. MIS Quarterly, 19(2), 213–236. https://doi.org/10.2307/249689.
Hair Jr, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., Danks, N. P., & Ray, S. (2021). Partial least squares structural equation modeling (PLS-SEM) using R: A workbook. Springer Nature.
Huang, X., Yang, F., Zheng, J., Feng, C., & Zhang, L. (2023). Personalized human resource management via HR analytics and artificial intelligence: Theory and implications. Asia Pacific Management Review, 28(4), 598–610. https://doi.org/10.1016/j.apmrv.2023.04.004
Izzati, Y. (2021). PENGARUH KEBIJAKAN KEUANGAN TERHADAP TAX AVOIDANCE Farida Idayati Sekolah Tinggi Ilmu Ekonomi Indonesia (STIESIA) Surabaya. 1–20.
Lubis. (2023). Monografi Kompetensi Sumber Daya Manusia 5.0 Berbasis Spiritualitas dalam Meningkatkan Kinerja Karyawan. In Sustainability (Switzerland) (Vol. 11, Issue 1). http://scioteca.caf.com/bitstream/handle/123456789/1091/RED2017-Eng-8ene.pdf?sequence=12&isAllowed=y%0Ahttp://dx.doi.org/10.1016/j.regsciurbeco.2008.06.005%0Ahttps://www.researchgate.net/publication/305320484_SISTEM_PEMBETUNGAN_TERPUSAT_STRATEGI_MELESTARI
Manunggal, N., Santoso, I. T., & Wicaksana, S. (2022). Pengaruh Sistem Informasi Sumber Daya Manusia (HRIS) dan Kecerdasan Buatan Terhadap Kinerja Industri Pertahanan. Journal of IIdustrial Engineering & Management Research, 3(6), 111–120. https://www.jiemar.org/index.php/jiemar/article/view/346
Mariska, B. P., Prasetyo, Y., & Fadhilah, F. (2021). Perception and Prospective Analysis of Artificial Intelligence on Human Capital and its Impact on Human Resources in The Industrial Revolution Era 4.0. Enrichment: Journal of Management, 12(1), 146–151.
Murugesan, U., Subramanian, P., Srivastava, S., & Dwivedi, A. (2023). A study of Artificial Intelligence impacts on Human Resource Digitalization in Industry 4.0. Decision Analytics Journal, 7(February), 100249. https://doi.org/10.1016/j.dajour.2023.100249
Olan, F., Ogiemwonyi Arakpogun, E., Suklan, J., Nakpodia, F., Damij, N., & Jayawickrama, U. (2022). Artificial intelligence and knowledge sharing: Contributing factors to organizational performance. Journal of Business Research, 145(February), 605–615. https://doi.org/10.1016/j.jbusres.2022.03.008
Purwaamijaya, B. M., Guntara, R. G., Junaini, S. N. (2024). Menggali Potensi Kecerdasan Buatan Dalam Pengelolaan Sumber Daya Manusia. Yogyakarta: Deepublish Digital.
Purwaamijaya, B. M., & Prasetyo, Y. (2022). The Effect of Artificial Intelligence (AI) on Human Capital Management in Indonesia. Jurnal Manajemen Dan Kewirausahaan, 10(2), 168–174. https://doi.org/10.26905/jmdk.v10i2.9130
Putra, D. A., & Adriansyah, A. (2022). Pengaruh Pelatihan Kerja, Motivasi Kerja, dan Employee Engagement Terhadap Kinerja Tenaga Ahli Fraksi X DPR RI. Jurnal Ekonomi, Manajemen Dan Perbankan (Journal of Economics, Management and Banking), 8(3), 124. https://doi.org/10.35384/jemp.v8i3.344
Sakinah, R., Kuswinarno, M., & Madura, U. T. (2024). Dampak Kecerdasan Buatan Terhadap Digitalisasi Dan Kinerja Sumber Daya Manusia : Peluang Dan Dampak Kecerdasan Buatan Terhadap Digitalisasi Dan Kinerja Sumber Daya Manusia : Peluang Dan. 2(9).
Shmueli, G., Sarstedt, M., Hair, J. F., Cheah, J. H., Ting, H., Vaithilingam, S., & Ringle, C. M. (2019). Predictive model assessment in PLS-SEM: guidelines for using PLSpredict. European Journal of Marketing, 53(11), 2322–2347. https://doi.org/10.1108/EJM-02-2019-0189
Suciati, T. A., & Deswarta, D. (2024). Pengaruh Pelatihan Kerja, Tingkat Pendidikan, dan Pengalaman Kerja terhadap Kinerja Karyawan Generasi Z di Selat Panjang. Al Qalam: Jurnal Ilmiah Keagamaan Dan Kemasyarakatan, 18(1), 58. https://doi.org/10.35931/aq.v18i1.3008
Sugiyono. (2018). Metode Penelitian Kuantitatif. Alfabeta.
Sugiyono. (2019). Metode Penelitian Kuantitatif, Kualitatif, dan R&D (Issue January).
Sugiyono, P. D. (2017). Metode penelitian bisnis: pendekatan kuantitatif, kualitatif, kombinasi, dan R&D. Penerbit CV. Alfabeta: Bandung, 225(87), 48–61.
Suryanti, R. (2021). Pengaruh Pelatihan Kerja, Motivasi Kerja, Dan Displin Kerja Terhadap Kinerja Karyawan. Jurnal Dimensi, 10(1), 14–30. https://doi.org/10.33373/dms.v10i1.2834
Susilo, B., Wardi, A., & Prasastono, S. (2022). Pengaruh Kecerdasan Buatan(AI) Dan Big Data Terhadap Kinerja Karyawan. Profit: Jurnal Manajemen, Bisnis Dan Akuntansi, 1, 113–121. https://doi.org/10.58192/profit.v1i3.2051
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