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661 Nursahira (2021)

Making Male 53 4.3711 .54952 .07548

Levene's
Test for
Equality of t-test for Equality of Means
Variances
F Sig. t df Sig. (2- Mean Std. Error 95% Confidence Interval of
tailed) Difference Difference the Difference
Lower Upper
DV_Decision Equal .009 .923 -1.839 98 .069 -.20795 .11311 -.43240 .01650
Making variances
assumed
Equal -1.832 95.029 .070 -.20795 .11349 -.43325 .01735
variances
not
assumed
In table 4.14, the significance (p-value) of Levene’s test is 0.923 which is more than 0.05, shows that the mean decision making in movie
consumption for female and male is not significantly different. The researcher assumed that the there is no equal variance. The t-value for
equal variance not assumed is -1.832 at the p-value (sig. 2-tailed) of 0.07 (p > o.o5). Hence, there is no significant difference between male
and female in decision making for Keris Siamang Tunggal movie consumption.

■ 5.0 CONCLUSION

Table 5.1: Summary of Findings for Hypothesis Testing
No. Hypotheses Significant Level Results
H1 There is a correlation between Keris Siamang Tunggal Sig = 0.024 Supported
movie consumption and trailers for the film. P < 0.05
H2 There is a correlation between Keris Siamang Tunggal Sig = 0.000 Supported
movie consumption and critic reviews for the film. P < 0.05
H3 There is a correlation between Keris Siamang Tunggal Sig = 0.002 Supported
movie consumption and word of mouth for the film. P < 0.05

H1: There is positive correlation between Keris Siamang Tunggal movie consumption and trailer for the film.

Based on table 5.1, it shows the positive correlation between movie consumption and trailer for Keris Siamang Tunggal film. This can be
proved by the p-value is equal to 0.024 which is less than 0.05. In addition, the beta coefficient value for trailer also indicates the same
correlation, which is 0.266. This also representing film trailer with 26.6% influence in Keris Siamang Tunggal movie consumption.

The correlation between trailer and decision making showing less positive correlation compared to another independent variable. As being
cited before, film trailers are the best way for the movie industry to get the word out and set people's expectations (Finsterwalder et al, 2012).
However, it does not play the biggest influence in decision making. Marketers can emphasize the role of trailer to create more influence
towards the promotional tools.
H2: There is positive correlation between Keris Siamang Tunggal movie consumption and critic reviews for the film.

Based on table 5.1, it shows the positive correlation between movie consumption and critic reviews for Keris Siamang Tunggal film. This
can be proved by the p-value is equal to 0.000 which is less than 0.05. In addition, the beta coefficient value for critic reviews also indicates
the same correlation, which is 0.322. This also representing critic reviews from professionals with 32.2% influence in Keris Siamang Tunggal
movie consumption.

H23: There is positive correlation between Keris Siamang Tunggal movie consumption and word of mouth for the film.
Based on table 5.1, it shows the positive correlation between movie consumption and word of mouth for Keris Siamang Tunggal film. This
can be proved by the p-value is equal to 0.002 which is less than 0.05. In addition, the beta coefficient value for word of mouth also indicates
the same correlation, which is 0.336. This also representing word of mouth that being available online with 33.6% influence in Keris Siamang
Tunggal movie consumption.

The most influential variable for decision making in Keris Siamang Tunggal consumption are word of mouth. WOM “usually perceived as
more credible and trustworthy than advertising” (Liu, 2006). Many movie websites include WOM messages in their critical reviews.

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