85 Figure 9. Pie Chart of Learning Readiness
Based on the result, it could be concluded that Learning Readiness in Grade X Accounting Student at SMK Negeri 1 Yogyakarta academic year
20152016 was in the high category.
5. Learning Style X
4
Data of variable Learning Style was collected from questionnaire with 17 questions. Based on the data collected from the questionnaire
distributed to 63 respondents, it was presented in variable Learning Style that the highest score achieved was 67 with the highest possible score was
68 4 x 17 and the lowest score achieved was 42 with the lowest possible score was 17 1 x 17. Based on the data analysis collected, Mean M was
54,25, Median Me was 54 and Mode Mo was 51, and Standard Deviation SD was 4,846. In order to conduct the frequency distribution
of learning style, the steps were as follows: a To determine the interval class
K = 1 + 3,3 log n K = 1 + 3,3 log 63
68.25 31.75
Learning Readiness
High Medium
Low
86 K = 1 + 3,3 1,79934054
K = 1 + 5,93782381 K = 6,93782381 rounded up to K = 7
b To determine the range of class Range of class
= Maximum score – Minimum Score
= 67 – 42
= 25 c To determine the length of interval class
Class interval length = number of class interval
= = ,
rounded up to 4 The frequency distribution of learning style could be seen in the table
below. Table 20. Frecuency Distribution of Learning Style
No Interval
Frecuency Frecuency
Relative
1 42-45
2 3,17
2 46-49
6 9,52
3 50-53
20 31,75
4 54-57
22 34,92
5 58-61
8 12,70
6 62-65
3 4,76
7 66-69
2 3,17
Total
63 100
Source: Primary data which were processed, 2016 Based on the data of frequency distribution of Learning Style above,
it could be presented in the histogram below.
87 Figure 10. Histogram of Learning Style
The data then categorized into the tendency category of Learning Style. This meant to know the tendency of each variable score used on the
ideal score of research sample as comparison criteria. The data of research variable was necessary to be categorized with the regulation below.
a. High category = iM + 1 iSD
b. Medium category = iM – 1 iSD until iM + 1 iSD
c. Low category = iM
– 1 iSD Arikunto, 2006: 264
ideal Mean iM and ideal Standard Deviation iSD was calculated based on the following formula;
ideal Mean = ½ Score Maximum + Score Minimum
= ½ 68 + 17 = 42,5
ideal Standard Deviation =
⁄
Score Maximum - Score Minimum =
⁄
68 – 17
= 8,5 High category
= iM + 1 iSD
2 6
20 22
8 3
2 5
10 15
20 25
42-45 46-49
50-53 54-57
58-61 62-65
66-69
F re
cuenc y
Interval
Learning Style
88 = 42,5 + 8,5
= 51 Medium category
= iM – 1 iSD up to iM + 1 iSD
= 42,5 – 8,5 up to 42,5 + 8,5
= 34 up to 51 Low category
= iM – 1 iSD
= 42,5 – 8,5
= 34 Based on the calculation above, the tendency of frequency distribution of
Learning Style could be figured as follows: Table 21. The Tendency Category of Learning Style
No Interval
Frecuency Frecuency
Relative Category
1 51
41 65,08
High 2
34 – 51
22 34,92
Medium 3
34 Low
Total 63
100 Source: Primary data which were processed, 2016
The table above shows that there were 41 students 65,08 in the high category, 22 students 34,92 in the medium category and there is
no student in the low category of Learning Style. Based on the tendency distribution of variable Learning Style above, it could be figured in the
following pie chart.
89 Figure 11. Pie Chart of Learning Style
Based on the result, it could be concluded that the Learning Style X Accounting Student at SMK Negeri 1 Yogyakarta academic year
20152016 was in the medium category.
C. Prerequisite Test Analysis
