This research study aims to determine the effect of financialknowledge and financialattitude on financialbehavior through the mediation of locusof control instudents the city ofBengkulu. Thepopulation study were students in thecity ofBengkulu. From calculations using theformula where[21], theindicator is 24 x 10, thesample size for thisstudy was determined to be 240 respondents. Determination of thesample using non-probability samplingtechnique with purposive samplingtechnique, by determining the criteria of therespondent. Theresearch approach used is quantitativeresearch. The type of data used in this study is primary data, namely research dataobtained directly from originalsources (respondents). The research data was processed using thesmartPLS 3.0 analysis tool. The results of thisstudy indicate that financialknowledge can influence financialbehavior directly and cannotinfluence it indirectly or through locus ofcontrol mediation. FinancialAttitude Variable can influenceFinancial Behaviordirectly and can also influence indirectly through Locus OfControl. Lastly, the variables of financialknowledge and financial attitudes have influence on the financialbehavior variable. FinancialKnowledge and FinancialAttitude Variables can affect the LocusOf Control variable. Finally, the Locus OfControl variable can have a significant effect on the FinancialBehavior Variables.

The study intends evaluate impact PT BankRakyat Indonesia (PERSERO) TBK's Bengkulu City Branch Office's QuickResponse Code Indonesian Standard (QRIS) Non-Cash PaymentSystem on financial inclusion (Y). by employing quantitative techniques. The primary data utilized this study were obtained by handing out questionnaires to Bank Rakyat Indonesia (PERSERO) Tbk clients at the Bengkulu City Branch Office. Test multiple linear regression analysis from the constant value coefficients table 36.448 it can be explained a positive correlation between Effectiveness (X1) and the coefficient, indicating Effectiveness on Financial Inclusion. The effectiveness variable is 0.811, meaning that if the other independent variables are constant, then there is an increase of 1 unit, so financial inclusion will increase by 0.811, the coefficient is positive. Test multiple linear regression analysis from the coefficients table with a constant value of 36.448, may be said that a positive coefficient indicates positive association between efficiency and financial inclusion the efficiency (X2) to financial inclusion has change value zero. The efficiency variable's value for  regression coefficient 0.542, meaning that if the other independent variables remain the same, Financial Inclusion will increase by 1 unit, so Financial Inclusion will increase. The findings of the analysis's multiple correlation coefficient test X1, X2 affect Financial Inclusion (Y) of 0.936, which means that it has a very strong correlation coefficient relationship because value is in range between 0.80-1,000.