Pemanfaatan Artificial Intelligence (AI) dalam Mendukung Pengembangan Soft Skill dan Kepribadian di Dunia Kerja
DOI:
https://doi.org/10.61132/jubikin.v2i4.1069Keywords:
Artificial Intelligence, Efficiency, Productivity, Soft Skills, WorkplaceAbstract
The utilization of Artificial Intelligence (AI) in the workplace has expanded rapidly, focusing not only on improving efficiency but also on strengthening human resource capacity. This review article aims to analyze the contribution of AI in supporting the development of soft skills and the formation of adaptive professional personalities. The method employed is a literature review of academic publications related to the use of AI in developing nontechnical competencies. The findings indicate that AI has been proven to enhance efficiency and productivity through the automation of routine tasks, faster data analysis, and more precise decision-making support. However, the success of AI implementation does not lie in replacing human roles but rather in harmonizing the functions of machine intelligence with the unique abilities of humans, such as empathy, intuition, creativity, and ethical reasoning. Human–AI collaboration emerges as a key approach to ensuring that technology remains human-centered, enabling digital transformation to proceed ethically, inclusively, and sustainably. Additional findings show that AI is capable of providing personalized learning, real-time feedback, and contextual simulations that effectively train communication, collaboration, problem-solving, creativity, and critical thinking skills. Human-centered AI integration also supports the development of professional personalities that are adaptive and responsive to change.
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References
Ahn, H. Y. (2024). AI-powered e-learning for lifelong learners: Impact on performance and knowledge application. Sustainability, 16(20), 9066. https://doi.org/10.3390/su16209066
Al Naqbi, H., Bahroun, Z., & Ahmed, V. (2024). Enhancing work productivity through generative artificial intelligence: A comprehensive literature review. Sustainability, 16(3), 1166. https://doi.org/10.3390/su16031166
AlAfnan, M. A., Dishari, S., & MohdZuki, S. F. (2024). Developing soft skills in the artificial intelligence era: Communication, business writing, and composition skills. Journal of Artificial Intelligence and Technology. https://doi.org/10.37965/jait.2024.0496
Alenezi, M., Akour, M., & Alfawzan, L. (2024). Evolving microcredential strategies for enhancing employability: Employer and student perspectives. Education Sciences, 14(12), 1307. https://doi.org/10.3390/educsci14121307
Alharbi, W. (2023). AI in the foreign language classroom: A pedagogical overview of automated writing assistance tools. Education Research International, 2023, 1–15. https://doi.org/10.1155/2023/4253331
Babashahi, L., Barbosa, C. E., Lima, Y., Lyra, A., Salazar, H., Argôlo, M., Almeida, M. A. d., & Souza, J. M. d. (2024). AI in the workplace: A systematic review of skill transformation in the industry. Administrative Sciences, 14(6), 127. https://doi.org/10.3390/admsci14060127
Baki, N. U., Rasdi, R. M., Krauss, S. E., & Omar, M. K. (2023). Employee competencies in the age of artificial intelligence: A systematic review from Southeast Asia. International Journal of Academic Research in Economics and Management Sciences, 12(1). https://doi.org/10.6007/ijarems/v12-i1/15891
Budnarowski, D., Jereczek, D., Detka, K., & Wieczorek, I. (2025). Application of artificial intelligence and virtual reality in soft skills training with modeled personality. Applied Sciences, 15(16), 9067. https://doi.org/10.3390/app15169067
Dinçer, E. (2024). Hard and soft skills revisited: Journalism education at the dawn of artificial intelligence. Adnan Menderes Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 11(1), 65–78. https://doi.org/10.30803/adusobed.1462061
Do, H., Chu, L. X., & Shipton, H. (2025). How and when AI-driven HRM promotes employee resilience and adaptive performance: A self-determination theory. Journal of Business Research, 192, 115279. https://doi.org/10.1016/j.jbusres.2025.115279
Dubiel, A., Kamińska, D., Zwoliński, G., Ramić-Brkić, B., Agostini, D., & Zancanaro, M. (2025). Virtual reality for the training of soft skills for professional education: Trends and opportunities. Interactive Learning Environments, 33(5), 3261–3281. https://doi.org/10.1080/10494820.2025.2450634
Elendu, C., Amaechi, D. C., Okatta, A. U., Amaechi, E. C., Elendu, T. C., Ezeh, C. P., & Elendu, I. D. (2024). The impact of simulation-based training in medical education: A review. Medicine, 103(27), e38813. https://doi.org/10.1097/MD.0000000000038813
Fernández-Arias, P., del Bosque, A., Lampropoulos, G., & Vergara, D. (2025). Applications of AI and VR in high-risk training simulations: A bibliometric review. Applied Sciences, 15(10), 5424. https://doi.org/10.3390/app15105424
Giannakos, M., Horn, M., & Cukurova, M. (2025). Learning, design, and technology in the age of AI. Behaviour & Information Technology, 44(5), 883–887. https://doi.org/10.1080/0144929X.2025.2469394
Gligorea, I., Cioca, M., Oancea, R., Gorski, A.-T., Gorski, H., & Tudorache, P. (2023). Adaptive learning using artificial intelligence in e-learning: A literature review. Education Sciences, 13(12), 1216. https://doi.org/10.3390/educsci13121216
Hou, K., Hou, T., & Cai, L. (2023). Exploring trust in human–AI collaboration in the context of multiplayer online games. Systems, 11(5), 217. https://doi.org/10.3390/systems11050217
Hurrell, S. (2015). Rethinking the soft skills deficit blame game: Employers, skills withdrawal, and the reporting of soft skills gaps. Human Relations, 69(3), 605–628. https://doi.org/10.1177/0018726715591636
Ilcic, A., Fuentes, M., & Lawler, D. (2025). Artificial intelligence, complexity, and systemic resilience in global governance. Frontiers in Artificial Intelligence, 8. https://doi.org/10.3389/frai.2025.1562095
Kavargyris, D. C., Georgiou, K., Papaioannou, E., Moysiadis, T., Mittas, N., & Angelis, L. (2025). Future skills in the GenAI era: A labor market classification system using Kolmogorov–Arnold networks and explainable AI. Algorithms, 18(9), 554. https://doi.org/10.3390/a18090554
Lai, J. W., Zhang, L., Sze, C. C., & Lim, F. S. (2025). Learning analytics for bridging the skills gap: A data-driven study of undergraduate aspirations and skills awareness for career preparedness. Education Sciences, 15(1), 40. https://doi.org/10.3390/educsci15010040
Lampropoulos, G. (2025). Augmented reality, virtual reality, and intelligent tutoring systems in education and training: A systematic literature review. Applied Sciences, 15(6), 3223. https://doi.org/10.3390/app15063223
Létourneau, A., Deslandes Martineau, M., Charland, P., Karran, J. A., Boasen, J., & Léger, P. M. (2025). A systematic review of AI-driven intelligent tutoring systems (ITS) in K-12 education. Npj Science of Learning, 10(1), 29. https://doi.org/10.1038/s41539-025-00320-7
McGrath, M. J., Duenser, A., Lacey, J., & Paris, C. (2025). Collaborative human-AI trust (CHAI-T): A process framework for active management of trust in human-AI collaboration. Computers in Human Behavior: Artificial Humans, 6, 100200. https://doi.org/10.1016/j.chbah.2025.100200
Merino-Campos, C. (2025). The impact of artificial intelligence on personalized learning in higher education: A systematic review. Trends in Higher Education, 4(2), 17. https://doi.org/10.3390/higheredu4020017
Mitsea, E., Drigas, A., & Skianis, C. (2025). A systematic review of serious games in the era of artificial intelligence, immersive technologies, the metaverse, and neurotechnologies: Transformation through meta-skills training. Electronics, 14(4), 649. https://doi.org/10.3390/electronics14040649
Mohammadi, M., Tajik, E., Martinez-Maldonado, R., Sadiq, S., Tomaszewski, W., & Khosravi, H. (2025). Artificial intelligence in multimodal learning analytics: A systematic literature review. Computers and Education: Artificial Intelligence, 8, 100426. https://doi.org/10.1016/j.caeai.2025.100426
Nguyen, A., Ngo, H. N., Hong, Y., Dang, B., & Nguyen, B.-P. T. (2023). Ethical principles for artificial intelligence in education. Education and Information Technologies, 28(4), 4221–4241. https://doi.org/10.1007/s10639-022-11316-w
Osadchа, K., Shumeiko, N., Osadchyi, V., & CHORNA, A. (2025). AI tools and their application for developing soft skills of computer science students: The perspectives of IT specialists and university teachers. Journal of Physics Conference Series, 3105(1), 12017. https://doi.org/10.1088/1742-6596/3105/1/012017
Pflanzer, M., Traylor, Z., Lyons, J. B., Dubljević, V., & Nam, C. S. (2023). Ethics in human–AI teaming: Principles and perspectives. AI and Ethics, 3(3), 917–935. https://doi.org/10.1007/s43681-022-00214-z
Rikala, P., Braun, G., Järvinen, M., Stahre, J., & Hämäläinen, R. (2024). Understanding and measuring skill gaps in Industry 4.0 — A review. Technological Forecasting and Social Change, 201, 123206. https://doi.org/10.1016/j.techfore.2024.123206
Sajja, R., Sermet, Y., Cwiertny, D., & Demir, I. (2025). Integrating AI and learning analytics for data-driven pedagogical decisions and personalized interventions in education. Technology, Knowledge and Learning. https://doi.org/10.1007/s10758-025-09897-9
Sanz-Angulo, P., Galindo-Melero, J., De-Diego-Poncela, S., & Martín, Ó. (2025). Promoting soft skills in higher engineering education: Assessment of the impact of a teaching methodology based on flipped learning, cooperative work, and gamification. Education and Information Technologies, 30(10), 13463–13506. https://doi.org/10.1007/s10639-025-13322-0
Shanmughan, P., Joseph, J., S., B. N., S. M., A., C. S., A., & Jose, J. (2024). The AI revolution in micro-credentialing: Personalized learning paths. Frontiers in Education, 9. https://doi.org/10.3389/feduc.2024.1445654
Sowa, K., Przegalinska, A., & Ciechanowski, L. (2021). Cobots in knowledge work. Journal of Business Research, 125, 135–142. https://doi.org/10.1016/j.jbusres.2020.11.038
Sung, H., Kim, M., Park, J., Shin, N., & Han, Y. (2024). Effectiveness of virtual reality in healthcare education: Systematic review and meta-analysis. Sustainability, 16(19), 8520. https://doi.org/10.3390/su16198520
Suyatmo, S., Prayitno, H., Wirawan, W. A., Pratiwi, D. I., & Waluyo, B. (2025). Preparing industry-ready graduates: Interplay of lecturer behavior, self-motivation, and soft skill development in vocational education. Acta Psychologica, 261, 105892. https://doi.org/10.1016/j.actpsy.2025.105892
Tan, L. Y., Hu, S., Yeo, D. J., & Cheong, K. H. (2025). Artificial intelligence-enabled adaptive learning platforms: A review. Computers and Education: Artificial Intelligence, 9, 100429. https://doi.org/10.1016/j.caeai.2025.100429
Tjahjono, B., Hermawan, D., Millah, S., & Evans, R. (2025). Bridging the skills gap curriculum transformation for automation industries and the role of digital technopreneurship. Aptisi Transactions on Technopreneurship (ATT), 7(2). https://doi.org/10.34306/att.v7i2.620
Tusquellas, N., Santiago, R., & Palau, R. (2025). Professional development analytics: A smart model for Industry 5.0. Applied Sciences, 15(4), 2057. https://doi.org/10.3390/app15042057
Vasylenko, О., Afanasenko, V., Petyak, O., РУДЕНОК, А., Sheleh, T., & КОМАР, Т. (2022). Dynamics of future psychologists’ soft skills development during their study at the higher education institution. Revista Romaneasca Pentru Educatie Multidimensionala, 14(3), 139–163. https://doi.org/10.18662/rrem/14.3/602
Wiese, L. J., Patil, I., Schiff, D. S., & Magana, A. J. (2025). AI ethics education: A systematic literature review. Computers and Education: Artificial Intelligence, 8, 100405. https://doi.org/10.1016/j.caeai.2025.100405
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