*Digital Entrepreneurship in Vocational High School Student Level DOI: http://dx.doi.org/10.5772/intechopen.110307*

a breakdown of 16 years totaling 16.7%, students 17-year-olds totaled 41.7%, while 18-year-olds were 41.7%.

From the data that researchers have taken previously, it is known that from twelve respondents of Vocational High School Students the interest in entrepreneurship male students is five students different from female students in number three people with differences who are not too far, while the rest are not interested in doing entrepreneurship is indeed, because there is a difference in motivation between male and female if want to do entrepreneurship as stated by Yuhendri [36] and Adha et al. [37].

Next steps are validity and reliability test. If the value of R is calculated > the value of the table R, then the item on the question instrument is said to be valid. But if the value of R is calculated < R of the table, then the item on the question instrument is said to be invalid and uses a sign of 5% or 0.05. (df = n–2) with data owned by twelve then the value of R table is 0.576 then the value of R counts more than R of the table or it can also be called R count >0.576. As for the reliability test with a significance of 5% or 0.05 that the Cronbach Alpha value > the R value of the table is known to be the Cronbach Alpha value >0.576 then the data is declared Reliable while if the Cronbach Alpha value >0.576 is declared unreliable.

From the **Table 3**, the data of the Digital Entrepreneurship validity test, it can be concluded that (**Table 4**).

So, it can be concluded that the item validity test from digital entrepreneurship is declared valid with the value of r count > r table.

From the reliability test table above, it can be seen that the value of Cronbach's Alpha is 0.966 while the value of the table R is 0.576 so that the research reliability test can be known this is 0.966 > 0.576 then the above reliability data is declared Reliable (**Table 5**).

In the search for results carried out to test the One Sample t Test, we must know that from the data above it is normally distributed so that data testing is carried out as follows (**Table 6**).

The decision basis of the normality test is if the value of Sig. > 0.05 then the data is normally distributed while if the value of Sig. < 0.05 then the data is not normally distributed. So, from the table above, it can be concluded that the Kolmogorov-Smirnov normality test value has a value of 0.078 > 0.05 in other words, the normality test is normally distributed while in the test Shapiro-Wijk normality has a Sig value. by 0.080 > 0.05 then the data is normally distributed. Next, we will do the Independent


#### **Table 4.**

*Conclusions of the digital entrepreneurship validity test.*


#### **Table 5.**

*Digital entrepreneurship reliability test.*


*Source: The data calculated by researchers.*

#### **Table 6.**

*Normality test.*


#### **Table 7.**

*Homogeneity variation test.*

Sample t Test to find out the difference in digital entrepreneurship knowledge in male and female Students, but we must do a homogeneity test as the requirements in the independent t Test analysis, as follows (**Table 7**).

When in homogeneity testing, it is said to contribute homogeneous data if the Significance value >0.05, while if the Significance value is <0.05, the data is not homogeneously distributed. From the data above, it is known that the value of the significance from digital entrepreneurship is 0.106 > 0.05, it can be said that the distribution of the data is homogeneous. Then the requirements to do the Independent Sample t test are met, the independent sample t test is as below (**Table 8**).

In the decision making of the independent sample t test is to find out whether there is an average difference between two unpaired samples, to find out, it can be seen from the value of sig. (2-tailed) < 0.05 then there is a difference between male and female, while if the value of sig. (2-tailed) > 0.05 then there is no difference. Then we see from the table above that the value of sig. (2-tailed) from digital entrepreneurship is 0.026 and 0.036 or it can be mentioned that the value of g. (2-tailed) (0.026) < 0.05 and the value of sig. (2-tailed) (0.036) < 0.05, there is a difference in digital entrepreneurship in male students and female students. These results are supported by research conducted by Adha [37] and Usman [38].

However, schools need to teach digital entrepreneurship to prepare students for business in the 21st century. Several studies support this. Future research on how digital and coding skills and knowledge might help student entrepreneurship could improve

