Pengembangan Skala KOMPAS-AI : Pengukuran Kompetensi Kesiapan Psikologis Adaptif terhadap AI untuk Pekerja Indonesia
DOI:
https://doi.org/10.26539/pcr.81354Keywords:
Artificial Intelligence; Pengembangan Instrumen; Psychological Readiness; Situational Judgment Test; Adaptive Performance.Abstract
Transformasi digital menuntut pekerja memiliki psychological readiness dan adaptive competencies towards Artificial Intelligence (AI). Penelitian ini bertujuan untuk mengembangkan KOMPAS-AI, yaitu instrumen dua domain yang mengukur Psychological Readiness (skala Likert) dan AI Adaptability (Situational Judgment Test/SJT). Integrasi kedua subtes ini selaras dengan kerangka OCRBS, sehingga memungkinkan pemetaan kesiapan yang komprehensif, mencakup keyakinan internal serta kompetensi perilaku adaptif yang diperlukan dalam interaksi manusia–AI. Dengan menggunakan desain mixed-method, instrumen ini dikembangkan melalui analisis konten kualitatif yang diikuti dengan validasi kuantitatif yang melibatkan 311 pekerja Indonesia untuk memastikan kualitas psikometrik yang kuat. Analisis faktor konfirmatori (Confirmatory Factor Analysis/CFA) menunjukkan bahwa model multidimensional dengan penyederhanaan item memiliki tingkat kecocokan model terbaik, yang mengonfirmasi bahwa kedua domain tersebut berfungsi sebagai satu kompetensi adaptif yang utuh. Uji reliabilitas menunjukkan konsistensi internal yang sangat tinggi, dengan nilai McDonald's Omega sebesar 0,933 untuk psychological readiness dan 0,855 untuk AI Adaptability. Temuan lain menunjukkan bahwa domain SJT memiliki invariansi pengukuran yang ketat antar gender, sehingga bebas dari bias. Hasil ini mengindikasikan bahwa KOMPAS-AI merupakan alat diagnostik yang kuat dan adil, serta siap diimplementasikan secara luas di berbagai sektor industri dan instansi pemerintah di Indonesia untuk menilai kesiapan tenaga kerja dan mendukung pengembangan sumber daya manusia di era AI.
Downloads
References
Alam, A. A., & Dewi, E. R. (2024). The Mediating Role of Technological Support in Enhancing Employee Productivity and Job Satisfaction through Remote Work Policies in Indonesia. Jurnal Manajemen Bisnis, 15(2), 347–365. https://doi.org/10.18196/mb.v15i2.23050
Armenakis, A. A., & Bedeian, A. G. (1999). Organizational Change: A Review of Theory and Research in the 1990s.
Armenakis, A. A., Bernerth, J. B., Pitts, J. P., & Walker, H. J. (2007). Organizational Change Recipients’ Beliefs Scale. The Journal of Applied Behavioral Science, 43(4), 481–505. https://doi.org/10.1177/0021886307303654
Brown, T. A. (2015). Confirmatory Factor Analysis for Applied Research. Guildford Publications.
Chan, D., & Schmitt, N. (1997). Video-Based Versus Paper-and-Pencil Method of Assessment in Situational Judgment Tests: Subgroup Differences in Test Performance and Face Validity Perceptions. In Journal of Applied Psychology (Vol. 82, Issue 1).
Christian, M. S., Edwards, B. D., & Bradley, J. C. (2010). Situational Judgment Tests: Constructs Assessed And A Meta-Analysis Of Their Criterion-Related Validities. In PERSONNEL PSYCHOLOGY (Vol. 63).
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340.
Gefen, D., & Straub, D. W. (1997). Gender Differences in the Perception and Use of E-Mail: An Extension to the Technology Acceptance Model. In Source: MIS Quarterly (Vol. 21, Issue 4).
Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. In European Business Review (Vol. 31, Issue 1, pp. 2–24). Emerald Group Publishing Ltd. https://doi.org/10.1108/EBR-11-2018-0203
Hofstede, G. (1980). Culture's consequences: International differences in work-related values. Sage Publications.
Holt, D. T., Armenakis, A. A., Feild, H. S., & Harris, S. G. (2007). Readiness for organizational change: The systematic development of a scale. Journal of Applied Behavioral Science, 43(2), 232–255. https://doi.org/10.1177/0021886306295295
Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6(1), 1–55. https://doi.org/10.1080/10705519909540118
Jaiswal, A., Arun, C. J., & Varma, A. (2022). Rebooting employees: upskilling for artificial intelligence in multinational corporations. International Journal of Human Resource Management, 33(6), 1179–1208. https://doi.org/10.1080/09585192.2021.1891114
Lievens, F., & Patterson, F. (2011). The Validity and Incremental Validity of Knowledge Tests, Low-Fidelity Simulations, and High-Fidelity Simulations for Predicting Job Performance in Advanced-Level High-Stakes Selection. Journal of Applied Psychology, 96(5), 927–940. https://doi.org/10.1037/a0023496
Long, D., & Magerko, B. (2020, April 21). What is AI Literacy? Competencies and Design Considerations. Conference on Human Factors in Computing Systems - Proceedings. https://doi.org/10.1145/3313831.3376727
Makarius, E. E., Mukherjee, D., Fox, J. D., & Fox, A. K. (2020). Rising with the machines: A sociotechnical framework for bringing artificial intelligence into the organization. Journal of Business Research, 120, 262–273. https://doi.org/10.1016/j.jbusres.2020.07.045
Mcdaniel, M. A., Hartman, N. S., & Whetzel, D. L. (2007). Situational Judgement Test, Response Instruction, And Validity: A Meta-Analysis. In PERSONNEL PSYCHOLOGY (Vol. 60).
McKinsey. (2022). The state of AI in 2022-and a half decade in review.
Nguyen, T., & Elbanna, A. (2025). Understanding Human-AI Augmentation in the Workplace: A Review and a Future Research Agenda. Information Systems Frontiers. https://doi.org/10.1007/s10796-025-10591-5
Parasuraman, A. (2000). Technology Readiness Index (Tri): A Multiple-Item Scale to Measure Readiness to Embrace New Technologies. Journal of Service Research, 2(4), 307–320. https://doi.org/10.1177/109467050024001
Podsakoff, P. M., MacKenzie, S. B., Lee, J. Y., & Podsakoff, N. P. (2003). Common Method Biases in Behavioral Research: A Critical Review of the Literature and Recommended Remedies. In Journal of Applied Psychology (Vol. 88, Issue 5, pp. 879–903). American Psychological Association Inc. https://doi.org/10.1037/0021-9010.88.5.879
Pulakos, E. D., Arad, S., Donovan, M. A., & Plamondon, K. E. (2000). Adaptability in the workplace: Development of a taxonomy of adaptive performance. Journal of Applied Psychology, 85(4), 612–624. https://doi.org/10.1037/0021-9010.85.4.612
Rafferty, A. E., Jimmieson, N. L., & Armenakis, A. A. (2013). Change Readiness: A Multilevel Review. In Journal of Management (Vol. 39, Issue 1, pp. 110–135). https://doi.org/10.1177/0149206312457417
Stevens, James. (2009). Applied multivariate statistics for the social sciences. Routledge.
Tarafdar, M., Cooper, C. L., & Stich, J. F. (2019). The Technostress Trifecta - Techno Eustress, Techno Distress And Design: Theoretical Directions And An Agenda For Research. In Information Systems Journal (Vol. 29, Issue 1, pp. 6–42). Blackwell Publishing Ltd. https://doi.org/10.1111/isj.12169
Van Der Heijde, C. M., & Van Der Heijden, B. I. J. M. (2006). A competence-based and multidimensional operationalization and measurement of employability. Human Resource Management, 45(3), 449–476. https://doi.org/10.1002/hrm.20119
Venkatesh, V., & Davis, F. D. (2000). Theoretical extension of the Technology Acceptance Model: Four longitudinal field studies. Management Science, 46(2), 186–204. https://doi.org/10.1287/mnsc.46.2.186.11926
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Tasya Augustiya (Translator); Kiki Sulistiya Rini, Novia Astuti Dewi, Rizal Putra Setya (Author)

This work is licensed under a Creative Commons Attribution 4.0 International License.







