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88                                         Nadia Safian (2021)

                                   Sample Group                      Result

                                      T-test           Sig. (2-tailed)        .000 (p<.05)
                                      Means             Pre-survey              3.293
                                                        Post-survey             4.380



                       The result shown in Table 4.6  Independent t-test for pre and post survey indicates the sig(2-tailed) of 0.000 which is p<0.05,
               hence the variables are significant. The significant different between two groups were proved to be shown, with values Pre-aurvey
               (3.293) and Post-survey (4.380). Thus, the research explain that the intervention of digital marketing elements will influence Brand
               Awareness.


            4.5  MULTIPLE LINEAR REGRESSION
                       The implementation of multiple linear regression is to evaluate the direct relationship between independent and dependent
               variables. The variable must be within the interval range to show the significant relationship towards independent variable and dependent
               variable. The rules of thumb is the significant values must be less than 0.05 to indicate the positive result. Additionally, the determination
               of the most significant relationship had to be followed on the highest standardized coefficient beta,β (ignoring any negative signs out of
               the front)
                                      Table 4.6: Multiple Linear Regression - Coefficient

                                               Standardized       t            Sig.           Result
                              Model
                                                  Coefficient
                                                    Beta
                      (Constant)                                6.356          .000



                      Sales Promotion             -.288         -3.405         .001          Accept
                      Social Media Marketing      .217          2.629          .010          Accept
                      Search Engine Optimization   -.119        -1.404         .163           Reject


                   According to Table 4.6, only two independent variables have shown the significant relationship towards dependent variable due to
            p.value is less than 0.05, which are calculated Sales Promotion (0.001) and Social Media Marketing (0.010). On the other hand, Search Engine
            Optimization has shown the significant value of 0.163, p.value>0.05, will signify no significant relationship towards dependent variable. The
            standardize coefficient beta indicates Sales Promotion (β= -0.288) and Social Media Marketing (β=0.217).  Therefore, the most significant
            that strengthen Brand Awareness of online secondhand market is Sales Promotion.

            ⬛  5.0 DISCUSSION AND CONCLUSION


            5.1  RESEARCH OBJECTIVES DISCUSSION

              RO1: To evaluate the relationships of sales promotion, social media marketing and search engine optimization with the brand
                   awareness towards Bundle4home’s online platform.





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