ANALISIS HUMAN ERROR PELAKU MANAJEMEN PEMULA DALAM MENGHADAPI TANTANGAN DAN PELUANG DI ERA INDUSTRI 4.0

This research aims to analyze the primary categories of human error committed by novice managers when handling the decision-making complexity in the Industry 4.0 (I4.0) Era. Employing a quasi-experimental design (Pre-test and Post-test), the study measured the vulnerability of novice managers to knowledge-based mistakes resulting from high cognitive load and digital competence gaps. Pre-test results indicated that the highest vulnerability lay within the Strategy & Planning (SP) domain, with an average score of only 2.10, confirming the hypothesis that cognitive Mistakes dominate human error in this group (Reason, 1990). Following an intervention involving I4.0 case-study based training and mentoring, Post-test results showed a significant increase in the total average score to 3.83. The Paired Sample T-Test and N-Gain Score of 0.65 (Medium-High category) statistically proved the intervention’s effectiveness in reducing the probability of human error. The largest improvement was observed in the SP domain (1.40), signifying the program's success in building the strategic and analytical framework necessary to manage I4.0 data complexity. The study concludes that mitigating novice manager human error must focus on building the required knowledge-base through structured digital competency development programs, rather than mere operational oversight.