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Achievements during
lectures
The questionnaire was developed based on the
above instrument, using the likert scale 1-4: 1: very
appropriate, 2: appropriate, 3: inappropriate, and 4:
very unsuitable. This scale aims to compare the scores
of male and female responses. The results of this
score in the analysis with inferential statistical
calculation technique through the analysis of
hypothesis comparative parametric test with the type
of data two independent samples so that the
calculation using independent sample T-test
technique. T-test is a statistical calculation to
compare differences in learning outcomes obtained
between men and women in students majoring in
Engineering in college. After the coding process,
validity and reliability test, the comparison will be
obtained in the final result with the independent
sample T-test. The result will answer this hypothesis:
Ho: There is no comparison of learning outcomes
between men and women in the Department of
Engineering in college.
H1: There is a comparison of learning outcomes
between men and women at the Department of
Engineering in college.
3 RESULTS AND DISCUSSION
3.1 Results
Data obtained in this study indicate that there is a
comparison of learning outcomes between men and
women, significant value 0.01 <0.05, so the data are
not homogeneous. The value of t arithmetic -1.56 at
df 50. Df on t test is N-2 that is in this case 52-2 = 50.
The value of t arithmetic compared with t table at df
50 and probability 0.05 that is equal to 1.67. Thus, the
value of t arithmetic -1.56 <1.67 (t table), then the
value of t arithmetic negative, there is a significant
comparison of the results of female and male students
study in engineering majors. Sig (2 tailed) or p value
of 0.01 <0.05, since <0.05 then H1 is accepted so the
ratio is statistically significant in probability 0.05.
The results of this comparison can be seen from
the mean value of these two groups of different means
that is -7.1, because the value is negative, then means
men have a lower average than women. Men have an
average of 70.30 while women are 63.20.
Comparison of learning outcomes between men
and women in the Department of Engineering is not
so visible, because the comparison of learning results
is thin. Thus, in this case, men remain superior
compared to women in the world of engineering in
college. Students feel that there are differences of
treatment and always compare between men and
women in the performance of learning results of
engineering in their majors, as in this graph, it
explains the answers that support the three indicators
of this study:
Figure 1: Comparison of learning outcomes of female and
male students in engineering majors.
From Figure 1, it can be seen that there are indeed
differences between men and women in the world of
engineering.
3.2 Discussion
Patriarchal culture found in the Department of
Engineering College has been felt by both students.
Not only men but also women, this can be seen in the
diagram, which both have an opinion that almost
equal the percentage, this is one of the causes of
comparison that makes women lower in value in the
practice of engineering science, because the culture of
patriarchy is still embedded for the students
themselves. Men assume that women in the
engineering department will not succeed (Carli 2016:
8). The social assumption of women has inferior
intelligence compared with men, so women are still
considered inferior to men (Mary 2007, p 29)
Differences in perceived treatment are still felt by
both men are more privileged to cultivate, control and
reign in learning in engineering majors, a common
perception which states that the meek woman who
makes her considered powerless when confronted by
machines identical with majoring in Engineering.
When speaking of gender identity in engineering
majors, women tend to experience gender attacks that
result in feelings that do not feel competent and lack
of self-acceptance (Hall 2015, pp. 531). Women have
decreased motivation due to gender stereotyped
views in engineering majors (Deemer 2015, p.44).
Women rarely choose engineering majors because
women assume that technique is the arena of men, at
least female role models in engineering, the view of
47%
44%
0
20
40
60
Patriarchal
Culture
Differences
Treatment
Academic Results
Men Women
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