PERSONALISASI PENGALAMAN KERJA MELALUI KECERDASAN BUATAN: OTOMATISASI ADMINISTRATIF MENUJU PENGEMBANGAN KARYAWAN YANG ADAPTIF
DOI:
https://doi.org/10.31949/dialogika.v7i2.18045Abstract
Penelitian ini bertujuan untuk mengkaji bagaimana kecerdasan buatan berfungsi sebagai sistem strategis untuk menciptakan pengalaman karyawan yang dipersonalisasi melalui prediksi kebutuhan pengembangan, perencanaan karir berbasis data, dan dukungan kesejahteraan adaptif. Penelitian ini menggunakan pendekatan kualitatif dengan desain penelitian kepustakaan untuk mengeksplorasi peran strategis kecerdasan buatan dalam personalisasi pengalaman karyawan. Temuan mengungkapkan bahwa AI mengintegrasikan kinerja, kompetensi, pembelajaran, dan data strategis untuk merekomendasikan intervensi yang disesuaikan. Pasar bakat internal mencocokkan keterampilan karyawan dengan peluang di seluruh organisasi sambil memproyeksikan jalur karir alternatif dari data historis. Dukungan kesehatan menggunakan data perilaku tidak langsung untuk mendeteksi tanda-tanda kelelahan dini dan memberikan intervensi yang dipersonalisasi dengan mekanisme eskalasi manusia. Keberhasilan bergantung pada kualitas data, perlindungan privasi, mitigasi bias algoritma, penerimaan karyawan, keseimbangan sentuhan manusia, perubahan budaya yang mendukung, dan evaluasi berkelanjutan menggunakan metrik yang relevan. AI tidak menggantikan interaksi manusia tetapi membebaskan manusia untuk fokus pada aktivitas bernilai tinggi. Organisasi yang berhasil memanfaatkan AI untuk ersonalisasi mendapatkan keunggulan kompetitif dalam menarik, mengembangkan, dan mempertahankan bakat. Transparansi privasi, dan kontrol karyawan atas data pribadi mewakili fondasi kepercayaan yang memungkinkan personalisasi. Mitigasi bias memerlukan audit teknis dan tinjauan manusia terhadap rekomendasi AI berisiko tinggi.
Keywords:
kecerdasan buatan, pengalaman karyawan, personalisasi, perencanaan karir, dukungan kesejahteraanDownloads
References
Abdulah, M. H. A. B., Gardi, B., & Darmawan, D. (2021). Innovation in Human Resource Management to enhance Organizational Competitiveness in the Era of Globalization. Journal of Social Science Studies, 1(1), 51-58.
Adler, E. S., & Clark, R. (2011). An invitation to social research: How it's done. Belmont, CA: Cengage.
Arifin, S., & Darmawan, D. (2021). Studi tentang Pengalaman Kerja, Komitmen Kerja, Dukungan Organisasi dan Pengaruhnya terhadap Kinerja Karyawan. Jurnal Ilmiah Edunomika, 6(1), 33-43.
Badiger, S. (2025). Employee well-being and mental health at work. International Journal of Applied Research. https://doi.org/10.22271/allresearch.2025.v11.i11sa.13207
Behare, N. (2025). Embracing AI. 155–168. https://doi.org/10.4018/979-8-3373-1005-3.ch006
Buchicchio, E., & Alexander, A. E. (2025). The AI Revolution into the Workplace: Hype, Hope, and Human Perspective. https://doi.org/10.36227/techrxiv.174123772.21862675/v1
Darmawan, D., & Gani, A. (2024). Reciprocal Relationships between Psychological Well-Being and Quality of Social Interaction: A Review of Social Exchange Theory. International Journal of Service Science, Management, Engineering, and Technology, 5(3), 5-10.
Darmawan, D., & Gardi, B. (2024). Digital-Oriented Leadership and Organizational Transformation: Fostering Operational Efficiency, Team Collaboration, and Innovation in the Digital. International Journal of Service Science, Management, Engineering, and Technology, 5(1), 37-42.
Daroni-Gherman, C.-M., & Cosma, A. C. (2025). The impact of artificial intelligence (AI) on human resources activity in an organization (HR). 168–171. https://doi.org/10.53486/sstc2024.v2.39
Dubey, S., Dubey, M. J., Rn, G., Sengupta, S., Das, S., & Benito-León, J. (2025). Why human empathy and conscience remain indispensable in the age of artificial intelligence. Postgraduate Medical Journal. https://doi.org/10.1093/postmj/qgaf226
Eddine, B. A. S., Ishaq, M. S. H. B., Darmawan, D., & Ali, R. (2021). Employee Well-being and Performance Evaluation: Integrating Quality of Work Life in HR Management. Journal of Social Science Studies, 1(2), 97-104.
Ernawati, E., & Sinambela, E. A. (2021). The Effect of Compensation and Career Development on Organizational Commitment. JESS, 1(2), 24-32.
Essa, N. E., Mardikaningsih, R., & Ismail, A. B. (2024). Service Transformation through Technology the Role of AI and Big Data in Service Science. Journal of Social Science Studies, 4(1), 193-200.
Fadi, S. (2026). AI in Performance Management: AI as a Tool for Instant Assessments and Feedback in the Flow of Employee Transactions. Public Organization Review. https://doi.org/10.1007/s11115-025-00934-w
Figueiredo, P. C. N., Martins, E. G., Fonseca, C. N. da, Sousa, V., & Viterbo, S. (2025). Employee Experience Management in the Digital Age. Advances in Human Resources Management and Organizational Development Book Series, 1–22. https://doi.org/10.4018/979-8-3693-7848-9.ch001
Folayan, M. (2019). Literature review and making sense of data. https://doi.org/10.13140/rg.2.2.36008.93449
Gangai, Dr. K. N. (2025). Artificial Intelligence in HR: Shaping the future of workforce management. https://doi.org/10.5281/zenodo.16155500
Gani, A., & Darmawan, D. (2022). Ethics and Accountability in Artificial Intelligence-Based Managerial Decision Making. Journal of Social Science Studies, 2(1), 147-152.
Giedrewicz-Niewińska, A. (2025). Protection of Employee Biometric Data. https://doi.org/10.36128/3ygwgq22
Hariani, M., & Mardikaningsih, R. (2023). Work-life balance and worker well-being through family support. Journal of Social Science Studies, 3(1), 9-14.
Hawkins, W., & Calder, N. (2025). The AI Landscape and Its Evolving Impact. 1–16. https://doi.org/10.1007/979-8-8688-2022-9_1
Irfan, M., & Darmawan, D. (2021). Improving Psychological Wellbeing through Emotion Management in Daily Life. Journal of Social Science Studies, 1(1), 179-184.
Irfan, M., Ali, R., & Darmawan, D. (2024). Digital Labour, Production Relations, and Social Class in the Age of Automation. International Journal of Service Science, Management, Engineering, and Technology, 5(2), 27-35.
Isinkaye, F. O. (2025). Fueling Organizational Development through the Dynamic Potential of Al-Driven Skill Gap Analysis. https://doi.org/10.13140/rg.2.2.12834.95680
Issalillah, F., Khayru, R. K., & Darmawan, D. (2025, October). Employee Wellbeing as the Basis for Performance Stability in Modern Sustainable Organizations. In Proceeding of International Management Conference and Progressive Papers (Vol. 3, No. 1).
Jafari, F., & Jafari, F. (2025). Empowering career development: a comprehensive AI-driven system for personalised guidance and recommendations. Cluster Computing, 28(16). https://doi.org/10.1007/s10586-025-05739-6
Kadam, S., Raj, C., Anawade, P., Sharma, D., & Wanjari, U. (2025). Artificial Intelligence in Organizational Culture Assessment: Transforming Insights and Strategies. 143–153. https://doi.org/10.1007/978-981-96-7520-3_14
Khayru, R. K. (2025). Digital Twins for Sustainable Infrastructure Management at Various Organizational Scales. Bulletin of Science, Technology and Society, 4(3), 13-24.
Kochańska, M. H. (2025). The role of AI in supporting employee health, well-being and efficiency. Rozprawy Społeczne. https://doi.org/10.29316/rs/213654
Kumar, T., Kumar, A., Porwal, Dr. R., Sharma, H., Dubey, Dr. P., Sholapurapu, P. K., & N, V. K. (2026). Machine Learning-Driven Human Resource Decision Strategies for Enhancing Employee Retention and Organizational Growth. Social Science Research Network. https://doi.org/10.2139/ssrn.5886182
Kurniawan, Y. & R. K. Khayru. (2021). Popular Culture and Youth: Value, Attitude, and Behavior Formation Through Music, Film, and Digital Content, Studi Ilmu Sosial Indonesia, 1(1), 303-324.
Kurniawan, Y., D. Darmawan, & R. K. Khayru. (2021). Social Media and Contemporary Youth Digital Literature, Studi Ilmu Sosial Indonesia, 1(2), 109-124.
Lamba, R., & Chouhan, S. (2025). Artificial Intelligence in Employee Development: Importance, Challenges & Opportunities. International Journal For Multidisciplinary Research, 7(4). https://doi.org/10.36948/ijfmr.2025.v07i04.51537
Lampard, R., & Pole, C. (2015). Practical social investigation: Qualitative and quantitative methods in social research. Routledge.
Mardikaningsih, R. & D. Darmawan. (2023). The Role of Digital Leadership in Building Employee Readiness for Workplace Automation, Studi Ilmu Sosial Indonesia, 3(1), 423-446.
Mardikaningsih, R., Hariani, M., Darmawan, D., Putra, A. R., & Arifin, S. (2025). Optimizing Digital Leadership in Improving Team Collaboration and Operational Efficiency for Organizational Transformation. In Proceeding of International Management Conference and Progressive Papers (Vol. 3, No. 1).
Maulani, A., Hardyansah, R., Darmawan, D., Mendonca, C. N., & de Jesus Isaac, A. (2023). Juridical Analysis of the Validity of Electronic Contracts Made by Artificial Intelligence in Indonesian Law. Journal of Social Science Studies, 3(1), 139-144.
Mayer, M. (2026). Theoretical Framework of this Research. 37–44. https://doi.org/10.1007/978-3-658-50453-3_3
Megha. (2026). A Data-Driven Framework for Personalized Career Guidance. International Journal For Multidisciplinary Research. https://doi.org/10.36948/ijfmr.2026.v08i01.62911
Meshram, Mrs. N., Praneeth, T. V., C, R. P., Godavarthi, S., & Patil, V. B. (2025). ProPath: AI-Based System for Skill Mapping and Future Planning. Nternational Journal of Advanced Research in Computer and Communication Engineering. https://doi.org/10.17148/ijarcce.2025.1412113
Metz, K., & Ray, J. (2026). The Impact of Work-Related Learning on Employee Attitudes Toward Artificial Intelligence. https://doi.org/10.17632/xcwks7tnpc
Mohanty, I., Patnaik, S., & Sharma, K. (2026). AI-Based Mental Health Support Systems for Reducing Workplace Burnout. 518–528. https://doi.org/10.1007/978-3-032-14189-7_42
Oluwatosin, A., & Darmawan, D. (2024). The relationship between psychological well-being and social interaction: Reconstructing social exchange theory in a cross-cultural perspective. International Journal of Service Science, Management, Engineering, and Technology, 6(3), 1-5.
Osean, R., Negara, D. S., & Putra, A. R. (2024). Digital Transformation in Manufacturing and Legal Aspects of Data Protection and Workers. Journal of Social Science Studies, 4(1), 21-32.
Pakpahan, N. H., Darmawan, D., & Rojak, J. A. (2022). Racial Discrimination and How Psychological Wellbeing and Social Engagement Impacts: A Review of the Literature on Identity, Stigma, and Coping Strategies in Multicultural Societies. Journal of Social Science Studies, 2(1), 87-94.
Pearl, J. (2024). Ethical Challenges of Artificial Intelligence Implementation in Human Resources: Implications for Job Performance Evaluation. https://doi.org/10.13140/rg.2.2.25294.06729
Putra, A. R. (2025). Integrating Technology in Leadership Style to Improve Innovation and Team Performance. International Journal of Service Science, Management, Engineering, and Technology, 7(1), 7-11.
Satpathy, I., Nayak, A., & Jain, V. (2025). Elevating Workforce Potential. 113–126. https://doi.org/10.4018/979-8-3693-7398-9.ch007
Shipman, M. D. (2014). The limitations of social research. Routledge.
Sinambela, E. A., Halizah, S. N., Naufalia, S., Amelia, F. N., Arifin, S., Darmawan, D., & Putra, A. R. (2023). The Effect of Experience, Work Supervision and Career Development on Job Satisfaction. Indonesian Journal of Innovation Multidisipliner Research, 1(2), 96-107.
Sulaksono, S., Hardyansah, R., & Darmawan, D. (2025). Reimagining Social Mobility in the Platform Economy and Automation-Driven Labor Landscape. Bulletin of Science, Technology and Society, 4(1), 35-42.
Triono, B., Darmawan, D., Djaelani, M., Safitri, F. S. A., & Masithoh, N. (2025). How Digitalization Reshapes Labor and Task Architecture in the Manufacturing Sector. International Journal of Service Science, Management, Engineering, and Technology, 7(2), 11-16.
Westover, J. H. (2025). AI-Driven Workforce Planning: Predictive Models for Future Talent Needs. Human Capital Leadership., 26(4). https://doi.org/10.70175/hclreview.2020.26.4.6.1
Xiaohan, D., Buse, Ç., & H., R., Eugenia. (2025). How Managers Perceive AI-Assisted Conversational Training for Workplace Communication. https://doi.org/10.48550/arxiv.2505.14452
Yadav, S. K. (2020). Ethical considerations in the deployment of ai in human resource management. https://doi.org/10.25215/9358095873.04
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