Faktor-faktor yang mempengaruhi kematangan kerjaya pelajar-pelajar tahun akhir di Pusat Latihan Teknologi Tinggi (ADTEC)

The study was conducted to identify the determinants of career maturity among final
year students in ADTEC. In this study, the level of career maturity was being identified and its relationships with gender, participation in career intervention program, academic result, work value, Career Decision-making Self-efficacy and self-esteem were being studied. The targeted samples were 169 final year students from four selected ADTEC. Out of this total, 149 responded and data was collected
for analysis and interpretations. In order to identify the relationships and differences
of independent variables, Pearson’s Product-Moment Correlation test, independent sample t-test and ANOVA test have been carried out with level of career maturity. Meanwhile, multiple linear-regression analysis was done with its independent variables in order to identify the determinants of career maturity in this study. Overall, it was found that the career maturity was at upper moderate level (M =
3.5893). There were no significant differences on mean career maturity level by gender and academic result (p> .05). However, there are significant differences in the mean level of career maturity with the participation of a career program It was found that work value, Career Decision-making Self-efficacy and self-esteem were significantly related to career maturity (p< .05). Among these independent variables, CDMSE had scored the highest Pearson’s correlation coefficient value (r = .766, p < .0125). It is then followed by work value (r = .200 p < .05) and self-esteem (r = .172, p < .05). In this study, the significant determinants for career maturity were CDMSE t = 14.308, p < .05) dan work value (t = -2.322, p < .05). Meanwhile self-esteem
(t = .033 p> .05 (t = 9.438, p < .05) was not significant determinants for career maturity
in this study. The regression model was not fully supported by the data collected. Only about 60.4% of the variability in career maturity was explained by the three independent variables. Based on the findings of this study, further research is needed to identify additional determining variables, and to improve the regression model of career maturity. Suggestions for implement and develop for suitable career development programmes were discussed.