580 California St., Suite 400
San Francisco, CA, 94104
Table 6 The following is an explanation of the results of the indirect effect shown in Table 6, namely: According to Juliandi (2018), the indirect effect analysis can be used to test the hypothesis of the indirect effect of the affected variable (exogenous) to the affected variable (endogenous) mediated/between by the intervening variable. The research hypothesis can be declared accepted if the indirect effect shows the T- Statistics > T-Table (1.984) and P-Value < 0.05.