2. Description of the Special Data
Data from the results of the study consist of free variables namely variables Student Perception of Teachers Teaching Methods X
1
and Learning Motivation X
2
and bound variable i.e. Accounting Learning Outcomes Y. This section will be describing the data of each variable
that had been processed as seen from the average value of the mean, median, mode and standard deviation. In addition to the frequency
distribution table is served and the histogram of the frequency of each variable. The following are details of the data processing results that had
been done by the use of SPSS Statistics application.
a. Accounting Learning Outcomes
Based on the data results of the study obtained through documentation in
the form of the average value of students’ daily quizzes and midterm test in SMK Negeri 7 Yogyakarta Grade XI
Accounting academic year 20152016, the magnitude of the maximum value was 100 and the minimum value was 25.
Furthermore, the analysis was done using SPSS Statistics programs and obtained the value of the mean 66.30, the median 69, mode 80,
and the standard deviation 19.69. The number of the class interval was determined by the formula k = 1 + 3.3 log 96 = 7.541 rounded
into 8. The data range 100-30 = 70, while the length of the class was derived from range data divided by the number of class intervals
708 = 8.75. As for Accounting Learning Outcomes frequency distribution can be seen in the following table:
Table 9. Data Variables Frequency Distribution Study Results Accounting
No. Interval
F
1. 30.0-38.75
5 5.208
2. 38.76-47.5
9 9.375
3. 47.6-56.25
8 8.333
4. 56.26-65
17 17.708
5. 66-73.75
16 16.667
6. 73.76-82.5
18 18.75
7. 82.6-91.25
14 14.583
8. 91.26-100
9 9.375
Total 96
100 Sources: primary Data that have been processed
Based on the frequency distribution tables, histograms can be described as follows:
Figure 2. Distribution Frequency histogram of Accounting Learning Outcomes.
The inclination identification or the level of Accounting Learning Outcomes in this study was using the value of the Minimum
Passing Criterion KKM in accordance with the rules the school given. If the achievement was
≥ 75, students could be said to be completely competent or vice versa if the achievements was 75 , it be
said that students hadnt or hadnt been competent. Based on the above data, it can be made a category of inclination as follows:
Table 10. Inclination Category of Accounting Learning Outcomes
No. Category
Frequency inclination
Absolut Relative
1. ≥75
41 40
Pass 2.
75 55
60 Not pass
Total 96
100
Based on the table, it can be known that the students who passed for Accounting were 41 students 40 and who had not pass
were as much as 55 students 60. Learning Outcome variable inclination of Accounting can be
presented in a Pie Chart as follows:
Figure 3. Pie Chart of Accounting Learning Outcomes inclination
b. Student Perception of Teacher Performance Data
Kategori