Table 6. Lattice of Questionnaire for Students
No Indicator
Total Item
Aspect of the learning strategy effect
1. The ability to encourage the curiosity of students
1 2.
Media’s support for the students independent learning 1
3. The ability of the media to add the knowledge
1 4.
The ability of the media in improve students comprehension 1
5. The ability of the media to improve motivation of students
1 6.
The ease of using the program 1
Aspect of Language
7. The suitability between language and level thinking of
students 1
8. The suitability of term with level thinking of students
1
Aspect of Material Organizing
9. Clarity of deliver the material
1 10. Systematic of deliver the material
1
Aspect of Visual Display
11. The suitability of the color display 1
12 The suitability of choosing font 1
13 The suitability of the image display that are presented 1
14 Attractiveness of design 1
Total Item Instrument 14
Source: Aspect and indicator of Questionnaire learning media Yusron Mubarok 2012 with modification.
G. Data Analysis Technique
Data that has been collected, then goes to analyzed to find out the assessment and the opinion of learning media.
1. Process data of developing media
This data is descriptive data that containts the workflow of media till the last product.
2. Feasibility assessment media data by experts
Media assessment data obtained from the questionnaire results by matrial experts, media experts and teacher. The next data is analyzed
with this step:
a. Change the qualitative assessment to be quantitative
Table 7. Scoring Table
Category Score
SA Strongly Agree 5
A Agree 4
N Neutral 3
D Disagree 2
SD Strongly Disagree 1
Source: Eko Putro Widyoko 2011: 236 b.
Calculate the average value of the whole and every aspect with the formula:
� = ∑�
� Description:
� = Average score ∑� = Total Score
� = Number of test subject Eko Putro Widyoko, 2011: 237
c. Add the mean score of each aspect.
d. Interpret the qualitative value of the overall average and each
aspect using the following criteria.
Table 8. Conversion Criteria Values into The Scale 5.
Formula Range
Classification
X≥Xi + 1,8 SBi 4,21
– 5,00 Totally feasible Xi + 0,6 SBi X + 1,8 SBi
3,41 – 4,20 Feasible
Xi – 0,6 SBi X ≤ Xi + 0,6
SBi 2,61 - 3,40
Moderately feasible
Xi – 1,8 SBi X ≤ Xi – 0,6
SBi 1,81
– 2,60 Not feasible X ≤ Xi – 1,8 SBi
– 1,80 Totally unfeasible
Description: Maximum value = 5
Minimum value = 1 Maximum value ideal = number of indicators x highest value
Minimum value ideal = number of indicators x lowest value X = The average value obtained
XI = ½ max value ideal + min. value ideal
Ideal standard deviation =
1 6
max value ideal + min. value ideal Sukardjo, 2012;98
Based on that calculation above, quantitative data convertion of five scale can be simpled as in table 8.
Table 9. Conversion of Score Assessment Result.
Score Interval score Clasification
A X 4,2
Totally feasible B
3,4 X ≤ 4,2 Feasible
C 2,6 X ≤ 3,4
Moderately feasible
D 1,8 X ≤ 2,6
Not feasible E
X ≤ 1,8 Totally unfeasible
Description; Ideal maximum score
= 5 � 1
= ½ 5+1 = 3
Ideal minimum score = 1 ISD Ideal standard deviation
= 16 5-1 = 0,67
Sukardjo, 2012; 98
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CHAPTER IV RESEARCH RESULT AND EXPLANATION
