Classical Competency Development Strategy: Closing the Sociocultural Managerial Competency GAP of ASN at the Semarang POM Center

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Sahat Nicolus Wicaksono Panggabean
Yosafat Anditya Wiryawan
Dr. Edy Raharja

Abstract

This study aims to analyze the effectiveness of classical competency development methods in closing the gap between managerial and sociocultural competencies in the State Civil Apparatus (ASN) at the Semarang POM Center. This study uses a sequential explanatory design mix-method with a quantitative approach through a questionnaire to 108 ASNs and qualitative through in-depth interviews with 8 ASNs to analyze the effectiveness of classical competency development. The sampling technique uses stratified random sampling for quantitative and purposive sampling for qualitative, with quantitative data analysis in descriptive statistical tests, paired sample t-tests, and correlation tests. The results of the paired sample t-test showed a significant increase between pre-training and post-training scores (p < 0.001), with the communication and integrity aspects experiencing the greatest improvement. Pearson's correlation test also found a strong positive association between training quality and improving sociocultural managerial skills (r = 0.582). Qualitative results from semi-structured interviews supported the quantitative findings, in which participants reported improved collaboration, decision-making, and change management abilities after training. Triangulation between quantitative and qualitative results shows strong consistency, thus strengthening the validity of the findings. In conclusion, classical training is effective in improving the technical and sociocultural skills of civil servants, which are crucial in public service and change management in a dynamic work environment.

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Sahat Nicolus Wicaksono Panggabean, Yosafat Anditya Wiryawan, and Dr. Edy Raharja , Trans., “Classical Competency Development Strategy: Closing the Sociocultural Managerial Competency GAP of ASN at the Semarang POM Center”, IJMH, vol. 11, no. 8, pp. 1–7, Apr. 2025, doi: 10.35940/ijmh.F1786.11080425.
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