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In accordance with the results of the study and the above discussion about the problem of the relationship between independent and dependent variables can be explained as follows: Obtained t-count (X1) -0.790 and significance of 0.432 means that the variable (X1) "insignificant" to the variable (Y), obtained -calculate (X2) 11,890 and Significance 0,000 means is Variable (X2) "significant" to Variable (Y), Obtained t-count (X3) 5,166 and Significance 0,000 means that variable (X3) "significant" to Variable (Y), Obtained t-count (X1) -0,790 and Significance 0,432 means that variable (X1) "insignificant" to Variable (Y) t-count (X1) -0,790 t-table -1,661 means that Variable (X1) is not significant to Variables (Y). Obtained t-count (X2) 11,890 and Significance 0,000 means that the variable (X2) "significant" to Variable (Y) t-count (X2) 11,890 t-table 1.661 means that Variable (X2) is significant to Variables (Y). Obtained t-count (X3) 5.166 and Significance 0,000 means that the variable (X3) "significant" to the variable (Y) t-count (X3) 5.166 t-table 1.661 means that the variable (X3) is significant to the variable (Y). That the hypothesis in this study simultaneously proved all Variables (X) had a significant effect on Variables (Y). While the hypothesis partially except Variable (X1) is not proven, and Variables (X2, and X3) proved to have a significant effect on Variables (Y).