Not only in academic but the non-academic potential of students were also developed, about 24 extracurriculars held to support the
interest and talent of students. From the extracurricular activities, there are a lot of students who obtains achievement in various
championship.
c The Potential of Teachers
The whole teacher in SMA Negeri 1 Cilacap has a minimum education level of S1. The number of teachers in SMA Negeri 1
Cilacap is about 65 teachers. Teachers in SMA Negeri 1 Cilacap are constantly improving their competence through various programs such
as Training, Seminar and Workshop. Teachers are also actively developing a proposal of Classroom Action Research CAR to
improve their pedagogic and professionalism competence.
d The Potential of Employees
To support the learning activities in schools that goes well, then required the employees who work professionally. Employees at SMA
Negeri 1 Cilacap consist of 24 people who work at the Administration,
Library, Laboratory, Cooperative, Cleanliness and Security. e Facilities
SMA Negeri 1 Cilacap have the adequate facilities that supporting the learning activities in school. The school has 30 classrooms adapted
to the learning subject. There are also the laboratory consisting of Physics, Chemistry, Biology, English, Computers, and IPS Social
Sciences. Besides classroom and laboratory, there are also libraries, halls,
mosques, broadcasting room, field, sports and arts facilities, canteen, parking lots and garden. Everything prepared to maximize the
academic and non-academic guidance of the students.
2. Description of Special Data
To test the influence of independent variables on the dependent variable, the descriptions in this section are presented the data of each variable based
on data obtained in the field. The following details are the results of data management that have been carried out with SPSS for Windows Version
17.00.
a. Variable of Moving Class Implementation X
1
Instrument of the Moving Class Implementation Variables X
1
is a questionnaire consisting of 12 items using a Likert scale questions
consisting of 4 alternative answers, the highest score was 4 and the lowest score is 1. Highest score that can be obtained is 48 4 12 and lowest
score is 12 1 12. For variables X
1,
the minimum score was 24.00 and the maximum score was 42.00. The mean was 32.74, the middle value
median at the amount of 33, the value that is often appears mode is 30 and a standard deviation is 4.276.
To construct the frequency distribution of Moving Class Implementation Variable, done the steps as follows:
1 Determine the Number of Class Intervals To determine the number of class intervals, used the Sturges Rule
formula that the number of class intervals = 1 + 3.3 log n, where n is the number of research subjects at the amount of 68 respondents.
The number of class intervals = 1 + 3.3 Log n = 1 + 3.3 log 68
= 1 + 3.3 1.832508913 = 1 + 6.047279412
= 7.047279412 rounded to 7. 2 Determine the Range
Range = maximum score – minimum score
= 42 - 24 = 18 3 Determine the length of class interval
Length of class interval = = = 2,57 rounded to 3
The frequency distribution of the score of moving class implementation can be seen in the following table :
Table 10.Frequency Distribution on Moving Class Implementation No.
Class Interval Frequency
F F
Cumulative Frequency
1 24
– 26 6
8.82 15
2 27
– 29 9
13.24 24
3 30
– 32 18
26.47 33
4 33
– 35 18
26.47 51
5 36
– 38 8
11.76 59
6 39
– 41 8
11.76 67
7 42
– 44 1
1.47 68
Total 68
100 Source : Primary Data Processed
Based on the table of frequency distribution of Moving Class Implementation Variable, can be described in a histogram as follows:
Figure 2. Histogram of Frequency Distibutions on Moving Class Implementation
The data of research variables needs to be categorized with the rules as follows:
6 9
18 18
8 8
1 2
4 6
8 10
12 14
16 18
20
24 – 26 27 – 29 30 – 32 33 – 35 36 – 38 39 – 41 42 – 44
Frequency
Interval
Histogram of Frequency Distibutions on Moving Class Implementation
a Highest Group All respondents that have a score as many as the mean score plus
one standard deviation above M + 1SD. b Middle Group
All respondents who had the mean score minus 1 standard deviation and mean score plus one standard deviation between
M –1SD to M+1SD.
c Lowest Group All respondents who had scores lower than the mean score minus 1
standard deviation above M + 1SD Suharsimi, 2006:264
Mean ideal Mi and Standard Deviation ideal SDI is obtained by
the following formula: Mean ideal
= =
= = 30
Standard Deviation ideal =
= =
= 6 Highest Group
= M + 1SD = 30 + 6
= 36 Middle Group
= M - 1SD up to M + 1SD = 30 - 6 up to 30 + 6
= 24 up to 36
