CHAPTER IV FINDINGS AND DISCUSSIONS
4.1.1 Students’ Writing Ability
This part shows the result of data analysis about students’ writing ability of MA YMPI Rappang.
4.1.1.1 The students’ score in pre-test:
The pre-test conducted on Thursday, October 25th, 2018. It was done before the strategy is implemented. The researcher asked the students to write a descriptive text using their own word. The researcher assessed the result of the pre-test based on the scoring rubric of writing which are content, organization, vocabulary, language use, and mechanics. The students’ pre-test results is shown in the following table:
34 Table 4.1 The Students’ Pre-test Result
No Students Aspect
(X1) (X12) Classification
C O V L M
1 S1 19 17 12 13 4 65 4225 Fair
2 S2 15 8 10 13 4 50 2500 Poor
3 S3 14 7 9 7 2 39 1521 Very Poor
4 S4 13 7 7 6 2 35 1225 Very Poor
5 S5 13 7 7 5 2 34 1156 Very Poor
6 S6 17 18 17 14 3 69 4761 Fair
7 S7 13 8 8 15 3 47 2209 Poor
8 S8 18 11 13 12 3 57 3249 Fair
9 S9 13 8 8 7 2 38 1444 Very Poor
10 S10 14 8 9 11 2 44 1936 Poor
11 S11 15 9 11 13 3 51 2601 Poor
12 S12 14 9 10 7 3 43 1849 Poor
13 S13 25 16 17 19 4 81 6561 Good
14 S14 13 7 7 6 2 35 1225 Very Poor
15 S15 20 16 15 13 3 67 4489 Fair
16 S16 14 9 8 10 3 44 1936 Poor
17 S17 14 9 9 9 2 43 1849 Poor
18 S18 14 10 9 10 2 45 2025 Poor
19 S19 14 9 8 10 2 43 1849 Poor
20 S20 16 17 11 12 3 59 3481 Fair
21 S21 14 8 8 10 3 43 1849 Poor
Total 15 10.3 10.1 10.5 2.7 ∑=1032 ∑X12=53940 (Data source: the students’ score in pre-test)
35 Where:
C : Content O : Organization V : Vocabulary L : Language Use M : Mechanics
Based on the table above, showing the result of the students’ writing score, only one students in good classification, five students in fair classification, ten students in poor, five students in very poor classification, and none students in excellent classification. The total score of pre-test was 1032. It could be seen that almost of the XI IIS 1 students’ writing ability was low because most of students gained poor even there were some gained very poor score.
The following are the process of calculation to find out the mean score (X) and the standard deviation (SD) based on the calculation of students’ score in pre-test of the table 4.1.
Firstly, the researcher calculated the mean score of the pre-test:
𝑥̅ =∑ 𝑥 𝑁 𝑥̅ =1032
21 𝑥̅ = 49.14 So, the mean score (X1) of pre-test is 49.14
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The data above showed that the mean score of pre-test was 49.14. Based on the table 3.3 we can conclude that the students’ pretest result was classified in poor category. The lowest achievement gained score 34. From that analyzing, it could be seen that almost of the 21 students’ writing ability was still low.
Secondly, the researcher calculated the standard deviation of the pre-test:
𝑆𝐷 = √𝑋2−(∑ 𝑋)2 𝑁 − 1𝑁
𝑆𝐷 = √53940 −(1032)2 21 − 121
𝑆𝐷 = √53940 −1065024 21 20
𝑆𝐷 = √53940 − 50715 20
𝑆𝐷 = √3224 20
𝑆𝐷 = √161
𝑆𝐷 = 12.68
So, the result of the standard deviation of the pre-test is 12.68
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After determining the mean score (X1) of pre-test was 49.14 and standard deviation (SD) of the pre-test was 12.68. It could be seen that the students’ writing ability in a poor category.
4.1.1.2 The Student’ score in post-test.
Meanwhile, the students’ score in post-test based on aspects of writing Table 4.2 The Students’ Post-test Result
No Students
Aspect
(X2) (X22) Classification
C O V L M
1 S1 22 11 15 18 4 70 4900 Fair
2 S2 17 8 12 14 4 55 3025 Poor
3 S3 14 7 10 6 2 39 1521 Very Poor
4 S4 14 12 11 10 3 50 2500 Poor
5 S5 19 18 14 12 3 66 4356 Fair
6 S6 15 17 18 16 4 70 4900 Fair
7 S7 13 8 8 15 3 47 2209 Poor
8 S8 23 17 18 16 4 78 6084 Good
9 S9 16 10 12 7 3 48 2304 Poor
10 S10 15 9 9 11 3 47 2209 Poor
11 S11 19 13 12 13 3 60 3600 Fair
12 S12 16 11 12 11 3 52 2704 Poor
13 S13 27 18 19 19 4 87 7569 Excellent
14 S14 14 7 8 6 2 37 1369 Very Poor
15 S15 20 17 15 13 4 69 4761 Fair
38 The next table of 4.2
No Students
Aspect
(X2) (X22) Classification
C O V L M
16 S16 17 11 9 10 3 50 2500 Poor
17 S17 14 9 9 9 2 43 1849 Poor
18 S18 19 10 15 11 3 58 3364 Fair
19 S19 15 10 9 10 2 46 2116 Poor
20 S20 17 17 12 12 3 61 3721 Fair
21 S21 15 7 8 10 3 43 1849 Poor
Total 17.1 11.7 12 11.8 3 ∑=1176 ∑X22
=69410 (Data source: the students’ score in post-test)
Where:
C : Content O : Organization V : Vocabulary L : Language Use M : Mechanics
Based on the table above, showing the result of the students’ writing score after giving a treatment by using the strategy, there are one students in excellent classification, one students in good classification, seven students in fair classification, ten students in poor classification, and only two students in very poor classification.
The total score of pre-test was 1176. It means that there are improving in students’
writing ability after treatment.
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To prove that there are improving in students’ writing ability after treatment, the researcher analyzed the data in students’ score in post-test.
Firstly, to get the mean score of the post-test, used formula:
𝑥̅ =∑ 𝑥 𝑁 𝑥̅ =1176
21 𝑥̅ = 56 So, the mean score (X2) of post-test is 56.
The data above showed that the mean score of post-test was 56. Based on the table 3.3 we can conclude that the students’ posttest result was classified in fair category. The lowest achievement gained score 37.
Secondly, to get the standard deviation of the post-test, used formula:
𝑆𝐷 = √𝑋2−(∑ 𝑋)2 𝑁 − 1𝑁
𝑆𝐷 = √69410 −(1176)2 21 − 121
𝑆𝐷 = √69410 −1382976 20 21
𝑆𝐷 = √69410 − 65856 20
40 𝑆𝐷 = √3554
20
𝑆𝐷 = √177.7
𝑆𝐷 = 13.3
So, the result of the standard deviation of the post-test is 13.3
After determining the mean score (X2) of post-test was 56 and the standard deviation (SD) of the post-test was 13.3, it could be seen that in post-test, there are an improvement of students’ writing ability compared the result of pre-test.
4.1.1.3 The result of the pre-test and post-test
The result of the pre-test and post-test were presented in the following table:
Table 4.3 the mean score and standard deviation of the pre-test and the post- test
Test Mean Score Standard Deviation
Pre-test Post-test
49.14 56
12.68 13.3
(Data source: the mean score and the standard deviation of the pre-test and post-test)
The data in table 4.3 indicates that there was an improvement while doing pre- test up to post-test. In pre-test had mean score 49.14 (poor category) and standard deviation score was 12.68 compared the post-test had mean score increased become 56 (fair category) and standard deviation was 13.3.
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As the result at this item was the mean score of the post-test was greater than the mean score in pre-test. It meant that the students’ writing ability had improvement after doing the learning process that used in the class.
4.1.1.4 The rate percentage of frequency of the pre-test and post-test
The following table shows the percentage of the frequency in pre-test and post-test.
Table 4.4 The Rate Percentage of the Frequency of the Pre-Test and Post-Test
No Classification Score
Frequency Percentage
Pre-test Post-test Pre-test Post-test
1 Excellent 100-86 - 1 - 4.76 %
2 Good 85-71 1 1 4.76 % 4.76 %
3 Fair 70-56 5 7 23.8 % 33.3 %
4 Poor 55-41 10 10 47.61 % 47.61 %
5 Very Poor ≤40 5 2 23.8 % 9.52 %
Total 21 21 100 % 100 %
The table 4.6 shows that the students’ percentage of pre-test indicated that there are five (23.8%) students in very poor category and none in excellent category. It means that the students writing ability still low, especially in writing a descriptive text.
Whereas the percentage of post-test indicated that there was increasing percentage of the students in writing because there was one (4.76%) student had score in excellent category and only two (9.52%) students had scores in very poor category. It means that there was an increasing percentage after doing a treatment.
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