CHAPTER IV RESULT OF THE STUDY AND DISCUSSION - The correlation between English vocabulary mastery and writing students’ ability at SMP Muhammadiyah Palangka Raya - Digital Library IAIN Palangka Raya

CHAPTER IV RESULT OF THE STUDY AND DISCUSSION This chapter described the obtained data of the students’ vocabulary and

  writing score. The presented data consisted of description the score, testing normality, linearity, homogenity and analysis of hypothesis.

A. Presentation Data

  The vocabulary test conducted on August, 24 ^{th -}

  25 ^th 2016 eighth grade students’ at SMP Muhammadiyah Palangka Raya. Then, for vocabulary class was chosen VIII- 3 and VIII- 4 consisted of 44 students. The test was student’s vocabulary score in multiple choice test vocus on verb used in simple past tense and there were 45 items with 80 minutes for to do the test.

1. The Students’ Score of Vocabulary Test

  C-01 64.6 4173.16

  82.2 6756.84 9. C-09 82.2 6756.84

  Th e students’ score was described in the table 4.1

Table 4.1 The Description Data of the S tudents’ Vocabulary Score No. Code

  82.2 6756.84 13. C-13 62.2 3868.84

  12. C-12

  62.2 3868.84

  11. C-11

  62.2 3868.84

  10. C-10

  8. C-08

  2. C-02

  64.4 4147.36

  7. C-07

  X X² 1.

  6. C-06

  82.2 6756.84 5. C-05 64.6 4173.16

  4. C-04

  82.2 6756.84

  3. C-03

  77.7 6037.29

  64.4 4147.36

  15. C-15

  38. C-38

  71.1 5055.21

  33. C-33

  51.1 2611.21

  34. C-34

  44.4 1971.36 35. C-35 75.5 5700.25

  36. C-36

  71.1 5055.21

  37. C-37

  71.1 5055.21

  68.8 4733.44 39. C-39 40 1600

  51.1 2611.21 31. C-31 71.1 5055.21

  40. C-40

  40 1600

  41. C-41

  40 1600

  42. C-42

  68.8 4733.44 43. C-43 66.6 4435.56

  44. C-44

  66.6 4435.56

  Total 2901.1 198230.9 Mean 65.9341 Maximum

  82.2 Minimum

  32. C-32

  30. C-30

  55.5 3080.25

  75.5 5700.25

  16. C-16

  82.2 6756.84

  17. C-17

  53.3 2840.89

  18. C-18

  82.2 6756.84 19. C-19 77.7 6037.29

  20. C-20

  77.7 6037.29

  21. C-21

  22. C-22

  51.1 2611.21

  53.3 2840.89 23. C-23 51.1 2611.21

  24. C-24

  73.3 5372.89

  25. C-25

  73.3 5372.89

  26. C-26

  73.3 5372.89 27. C-27 77.7 6037.29

  28. C-28

  51.1 2611.21

  29. C-29

  40 Based on the data above, vocabulary as the varibale X, it was known

  65.93, maximum of the score was 82.2 and minimum of the score was 40. To know the classificaton of the students’ score can be seen on the table below:

  80-100. There were thirteen students who got score 70-80. There were twelve students who got score 60-70. There were eight students who got score 50-60, and there were four students who got score 0-50. Next, to know the classificaton of the students’ achievement criteria of heavy value and predicate can be seen on the table below:

  8 Poor 0-50 E

  12 Fair 50-60 D

  13 Good 60-70 C

  7 Excellent 70-80 B

  80-100 A

Table 4.3 Distribution of Students’ Achievement Criteria of the Vocabulary Score Mark Value Letter Value Heavy Value Predicate

  44 Based on the data above, there were seven students who got score

Table 4.2 Distribution of Students’ Achievement Criteria of Vocabulary

  4 Total

  8 5. 0-50

  12 4. 50-60

  13 3. 60-70

  7 2. 70-80

  1. 80-100

  

Mastery of SMP Muhammadiyah Palangka Raya

No. Category Score Frequency

  4 Very Poor To determine the frequency of score, percent of score, and cumulative percent calculated using manual calculation as follows:

Table 4.4 the Frequency of Score, Percent of Score, Valid Percent and Cumulative Percent calculated using Manual Calculation

  

Category Score Frequency Percent Valid Percent Cumulative Percent

80-100

  7

  15.91

  15.91

  15.91 70-80

  13

  29.55

  29.55

  45.45 60-70

  12

  27.27

  27.27

  72.73 50-60

  8

  18.18

  18.18

  90.91 0-50

  4

  9.09 9.09 100.0 Total 44 100.0 100.0

  Based on the data of percent of score, it can be concluded that there was 15.91% students who got score 90-100. There were 29.55% students who got score 70-80. There were 27.27% students who got score 60-70. There were 18.18% students who got score 50-60. And there were 9.09% students who got score 0-50.

  The next step, the result calculated the scores of mean using manual calculation as follows: Mx = = = 65.93

  Based on the result above using manual calculation, it was found that the mean score of vocabulary mastery score was 65.93. The distribution of students’ vocabulary score can also be seen in the following figure.

Figure 4.1 Histogram of Students’ Vocabulary Mastery Score

  It can be seen from the figure above the students’ vocabulary mastery score. There were four students who got 0-50 with predicate very poor. There were eight students who got score 50-60 with predicate poor. There were twelve students who got score 60-70 with predicate fair. There were thirteen students who got score 70-80 with predicate good. And there were seven students who got 80-100 with predicate excellent.

  The next step, the result calculated the score of mean using SPSS 18 program as follows:

Table 4.5 the Calculation of Statistics using SPSS 18

  N Valid

  44 Missing Mean

  65.93 Std. Error of Mean 1.917 Std. Deviation 12.713 Minimum

  40

  2

  4

  6

  8

  10

  12

  14 0-50 50-60 60-70 70-80 80-100 Very Poor Poor Fair Good Excellent

  Frequency Based on the table above, the result calculated using SPSS 18, it was found that the mean of score were 65.93, the standard deviation was 12.713 and the standard error of mean was 1.917. Then, based on valuation scale used in SMP Muhammadiyah Palangka Raya, the average of the stude nts’ vocabulary mastery was in fair criteria.

  _{st st} The writing test conducted on August, 31 and 01 2016 eighth grade student’s at SMP Muhammadiyah Palangka Raya. Then, for writing class was chosen VIII- 3 and VIII-4 consisted of 44 students. The writer used recount text and the students write down short paragraph about recount text with 80 minutes to do the test.

2. The Students’ Score of Writing Test

  Table

4.6 The Description Data of the Students’ Writing Score

  No. Code Y Y²

  C-01 65.5 4290.25 1.

  2. C-02

  69 4761

  3. C-03

  78.5 6162.25

  4. C-04

  78.5 6162.25 C-05 62.5 3906.25 5.

  6. C-06

  87 7569

  7. C-07

  68.5 4692.25

  8. C-08

  78.5 6162.25 C-09 68 4624 9.

  10. C-10

  58.5 3422.25

  11. C-11

  46 2116

  12. C-12

  75.5 5700.25 C-13 67.5 4556.25 13.

  14. C-14

  58.5 3422.25

  15. C-15

  67 4489

  16. C-16

  49 2401 C-17 51.5 2652.25 17.

  19. C-19

  49.5 2450.25

  76 5776 35. C-35 77.5 6006.25

  36. C-36

  49 2401

  37. C-37

  68 4624

  38. C-38

  79 6241 39. C-39 51.5 2652.25

  40. C-40

  41. C-41

  87.5 7656.25

  51.5 2652.25

  42. C-42

  87 7569 43. C-43 59 3481

  44. C-44

  59 3481

  Total 2956.5 204286.8 Mean 67.1932 Maximum

  87.5 Minimum

  46 Based on the data above, writing as the varibale Y, it was known ∑Y

  34. C-34

  33. C-33

  78.5 6162.25

  25. C-25

  20. C-20

  75.5 5700.25

  21. C-21

  73.5 5402.25

  22. C-22

  68 4624 23. C-23 56.5 3192.25

  24. C-24

  79 6241

  78.5 6162.25

  65 4225

  26. C-26

  65 4225 27. C-27 75.5 5700.25

  28. C-28

  49 2401

  29. C-29

  69 4761

  30. C-30

  66.5 4422.25 31. C-31 58 3364

  32. C-32

  was 2956.5 and ∑Y² was 204286.8, mean of the writing score was 67.19, maximum of the score was 87.5 and minimum of the score was 46. To know the classificaton of the students’ score can be seen on the table below:

Table 4.7 Distribution of Students’ Achievement Criteria of Writing

  The n ext, to know the classificaton of the students’ achievement criteria of heavy value and predicate can be seen on the table below:

  5 Very Poor

  9 Poor 0-50 E

  13 Fair 50-60 D

  14 Good 60-70 C

  3 Excellent 70-80 B

  80-100 A

Table 4.8 Distribution of Students’ Achievement Criteria of the Writing Score Mark Value Letter Value Heavy Value Predicate

  And there were five students who got score 0-50.

  

Ability of SMP Muhammadiyah Palangka Raya

No. Category Score Frequency

  100. There were fourteen students who got score 70-80. There were thirteen students who got score 60-70. There were nine students who got score 50-60.

  44 Based on the data above, there were ten students who got score 80-

  5 Total

  9 5. 0-50

  13 4. 50-60

  14 3. 60-70

  3 2. 70-80

  1. 80-100

  To determine the frequency of score,percent of score, and cumulative percent calculated using manual calculation as follows:

Table 4.9 the Frequency of Score, Percent of Score, Valid Percent and Cumulative Percent calculated using Manual Calculation

  

Category Score Frequency Percent Valid Percent Cumulative Percent

80-100

  3

  6.82

  6.82

  6.82 70-80

  14

  31.82

  31.82

  38.64 60-70

  13

  29.55

  29.55

  68.18 50-60

  9

  20.45

  20.45

  88.64 0-50

  5

  11.36 11.36 100.0 Total 44 100.0 100.0

  Based on the data of percent of score, it can be concluded that there was 6.82% students who got score 80-100. There were 31.82% students who got score 70-80. There were 29.55% students who got score 60-70. There were 20.45% students who got score 50-60. There were 11.36% students who got score 0-50.

  The next step, the result calculated the scores of mean using manual calculation as follows: Mx = = = 67.19

  Based on the result above using manual calculation, it was found that the mean score of writing score was 67.19 . The distribution of students’ writing score can also be seen in the following figure.

Figure 4.1 Histogram of Students’ Writing Score It can be seen from the figure above the students’ writing score.

  4

  16 0-50 50-60 60-70 70-80 80-100 Very Poor Poor Fair Good Excellent

  14

  12

  10

  8

  6

  2

  There were five students who got score 0-50 with predicate very poor. There were nine students who got score 50-60 with predicate poor. There were thirteen students who got score 60-70 with predicate fair. There were fourteen students who got score 70-80 with predicate good. And there were three students who got score 80-100 with predicate excellent.

  88

  46 Maximum

  67.19 Std. Error of Mean 1.725 Std. Deviation 11.443 Minimum

  44 Missing Mean

  N Valid

Table 4.10 the Calculation of Statistics using SPSS 18

  The next step, the result calculated the score of mean using SPSS 18 program as follows:

  Frequency Based on the table above, the result calculated using SPSS 18, it was found that the mean of score were 67.19, the standard deviation was 11.443 and the standard error of mean was 1.725. Then, based on valuation scale used in SMP Muhammadiyah Palangka Raya, the average of the students’ writing score was in fair criteria.

B. Testing of Normality, Homogeneity and Linearity 1. Testing of the Normality

  It used to know the normality of the data that was going to be analyzed whether both groups have normal distribution or not. Because of that, the normality test used SPSS 18 to measure the normality of the data.

Table 4.11 Normality Test using SPSS 18

  One-Sample Kolmogorov-Smirnov Test Vocabulary Writing N

  44

  44 Normal Parameters ^a,b Mean

  65.93

  67.19 Std. Deviation 12.713 11.443 Most Extreme Differences Absolute ,112 ,116

  Positive ,100 ,097 Negative -,112 -,116 Kolmogorov-Smirnov Z ,745 ,770 Asymp. Sig. (2-tailed) ,636 ,593

  The criteria of the normality test was if the value of (probability value/critical value) was higher than or equal to the level of significance alpha defined (r > a), it meant that the distribution was normal. Based on value) from vocabulary and writing score in Kolmogorov-Smirnov Z table was higher than level of significance alpha used or r = 0.745 > 0.05 for vocabulary score and r = 0.770 > 0.05 for writing score. So, the distribution was normal. It meant the students’ score of vocabulary and writing had normal distribution.

  2. Testing of the Homogeneity

Table 4.12 Homogeneity Test using SPSS 18 Levene Statistic df1 df2 Sig.

  1.287

  12 29 ,278

  The criteria of the homogeneity test was if the value of (probability value/critical value) was higher than or equal to the level significance alpha defined (r > a), it meant the distribution was homogeneity. Based on the calculation using SPSS 18 program above, the value of (probably value/critical value) from vocabulary and writing score of variance in sig column was known that p-value was 0.278. The data in this study fulfilled homogeneity since the p-value was 0.278 >

  0.05.

  3. Testing of the Linearity

  It used to know the correlation linearity of the data that was going to be analyzed between independent and dependent variable.

  Because of that, the test used SPSS 18 to measure the correlation linearity of the data.

Table 4.13 Linearity Test using SPSS 18 Sum of Squares df Mean Square F Sig.

  Writing * Between (Combined) 3109.992 14 222.142 2.556 ,016 Vocabulary Groups Linearity 993.766 1 993.766 11.436 ,002 Deviation 2116.227

  13 162.787 1.873 ,078 from Linearity Within Groups 2520.115 29 86.901 Total 5630.108

  43 The criteria of the linearity test was if the value of F and Sig. in

  the line Deviation from Linearity was higher than or equal to the level of significance or F (Sig.) > 0.05, it meant that the distribution was linear.

  Based on the calculation using SPSS 18 above, the value of F from vocabulary mastery and writing ability was 1.873 and value of Sig. was 0.078, and analysis above showed that value F was 1.873 with Sig. 0.078 higher than level of significance alpha or 0.078 > 0.05 for vocabulary mastery and writing ability. So, it concluded that correlation between students’ vocabulary mastery and writing ability was linearity.

C. Data Analysis 1. Testing Hypothesis using Manual Calculation

  To answer the problem is there any correlation between English vocabulary mastery and writing students’ ability at SMP Muhammadiyah

  Palangka Raya, the Product Moment correlation was applied to test hypothesis as the following prosedures :

Table 4.14 Distribution Scores Vocabulary Mastery and Writing Ability No. Code

  26. C-26

  82.2 75 6756.84 5625 6165

  19. C-19

  77.7 78.5 6037.29 6162.25 6099.45

  20. C-20

  77.7 75.5 6037.29 5700.25 5866.35 21. C-21

  75.5 73.5 5700.25 5402.25 5549.25

  22. C-22

  53.3 68 2840.89 4624 3624.4

  23. C-23

  51.1 56.5 2611.21 3192.25 2887.15

  24. C-24

  73.3 79 5372.89 6241 5790.7

  25. C-25

  73.3 78.5 5372.89 6162.25 5754.05

  73.3 65 5372.89 4225 4764.5

  53.3 51.5 2840.89 2652.25 2744.95

  71.1 58 5055.21 3364 4123.8

  35. C-35

  44.4 76 1971.36 5776 3374.4

  34. C-34

  51.1 87.5 2611.21 7656.25 4471.25

  71.1 65 5055.21 4225 4621.5 33. C-33

  32. C-32

  21. C-31

  27. C-27

  51.1 66.5 2611.21 4422.25 3398.15

  30. C-30

  51.1 69 2611.21 4761 3525.9

  51.1 49 2611.21 2401 2503.9 29. C-29

  28. C-28

  77.7 75.5 6037.29 5700.25 5866.35

  18. C-18

  17. C-17

  X Y X² Y²

  8. C-08

  XY

  1. C-01

  64.6 65.5 4173.16 4290.25 4231.3 2. C-02

  77.7 69 6037.29 4761 5361.3

  3. C-03

  82.2 78.5 6756.84 6162.25 6452.7

  4. C-04

  82.2 78.5 6756.84 6162.25 6452.7

  5. C-05

  64.6 62.5 4173.16 3906.25 4037.5

  6. C-06

  64.4 87 4147.36 7569 5602.8

  7. C-07

  64.4 68.5 4147.36 4692.25 4411.4

  82.2 78.5 6756.84 6162.25 6452.7

  82.2 49 6756.84 2401 4027.8

  13. C-13

  16. C-16

  55.5 67 3080.25 4489 3718.5

  15. C-15

  62.2 58.5 3868.84 3422.25 3638.7

  14. C-14

  62.2 67.5 3868.84 4556.25 4198.5

  82.2 75.5 6756.84 5700.25 6206.1

  9. C-09

  12. C-12

  62.2 46 3868.84 2116 2861.2

  11. C-11

  62.2 58.5 3868.84 3422.25 3638.7

  10. C-10

  82.2 68 6756.84 4624 5589.6

  75.5 77.5 5700.25 6006.25 5851.25 C-37

  71.1 68 5055.21 4624 4834.8 37.

  38. C-38

  68.8 79 4733.44 6241 5435.2

  39. C-39

  40 51.5 1600 2652.25 2060

  40. C-40

  40 49.5 1600 2450.25 1980 C-41

  40 51.5 1600 2652.25 2060 41.

  42. C-42

  68.8 87 4733.44 7569 5985.6

  43. C-43

  66.6 59 4435.56 3481 3929.4

  44. C-44

  66.6 59 4435.56 3481 3929.4

  Total 2901.1 2956.5 198230.9 204286.8 197562.1

  To find out the correlation between vocabulary mastery and writing ability at SMP Muhammadiyah Palangka Raya, this study used Product Moment Formula by Pearson, as follow:

  ( )( )

  r xy =

  √* ( ) +* ( ) +

  From the calculation of variable X and variable Y, it was known that: N = 44 ∑X = 2901.1 ∑Y = 2956.5 ∑X² = 198230.9 ∑Y² = 204286.8 ∑XY = 197562.1

  ( )( ) xy = r

  √* ( ) +* ( ) + ( )( )

  =

• √* ( ) +* ( )

  =

  √

  =

  √

  = = 0.420 The calculation above had shown index correlation of variable X and Y was 0.420.

  Based on the interpretation orientation score of “r” product, the value of r xy is on 0.400-0.700. So, the result correlation between variable X and variable Y there is moderately positive correlation. It meant vocabulary mastery had association with writing ability.

  The result of the calculation that was counted by product moment above showed that the index of correlation was 0.420. Then, the degree of calculation degree of freedom with formula,as follow: df = N

• – nr It was known: N = 44, nr =2 Df = 44
• – 2 = 42

  The significant choose at 5%, it meant the significant level or refusall at 5%. It was illustrated as follow:

Table 4.15 Critical Value of the Product Moment Correlation Coefficient

  Df The number of correlation variable

  2 Value “r” on significant level 5% 1% 42 0.304 0.393

  Even so, it was known the result of “r” = 0.304 < 0.420 > 0.393. It can be explained that the value of “r” (0.420) was higher at significance level 5% (0.304).

  As the result, the value of “r” showed positive correlation between vocabulary mastery and writing ability at significant level 5%.

  The correlation between variable X (vocabulary mastery) and variable Y (writing ability) can be illustrated by following scatter plot as follow:

  16

  14

  12

  10 Vocabulary Mastery

  8 Writing Ability

  6

  4

  2

  2

  4

  6 Figure 4.3 the Linear of Variable X and Variable Y

  The scatter plot above illustrated the direction of the correlation between the variables. The dots going from lower left to upper right indicate positive a positive correlation as variable X goes up, variable Y also goes up. Scatter plot of also reveals the moderate correlation between variables. The scatter plot above has shown the dots from a narrow band, made a straight line and spread closely. Its mean there is moderate correlation between two variables, vocabulary mastery and writing ability.

  To know the contribution of the variable X and Y, this study used the formula as follow:

2 KP = r × 100%

  2

  = (0.420) × 100 = 0.1764 × 100% = 17.64%

  So, it means that the variable X (vocabulary ) gives the contribution’ ability in writing at eighth graders of SMP Muhammadiyah Palangka Raya was

  17.64%. The reject or accepted hypothesis, this study calculated t as follow:

  value √

  T observed =

  √ √ =

  √ √ =

  √ =

  √ = The criteria of the test was if t observed > t table , H a was accepeted. It meant there was significant correlation. If t observed < t table , H was rejected. It meant there was no significant correlation between variables. Based on the calculation above t observed was 2.99. Next, to know df or degree of freedom used the formula nr

• – 2, N = 44. So, df = n , = 2.02 at significance level 5% and

  table

• – 2 = 44 – 2 = 42 and t 2.71 at significance level 1%. The following table was the result of t observed and t table from df at 5% level, as follow:

Table 4.16 Result of the Manual Calculation T observed

  

Variable T T Df/db

observed table 5% 1%

  X-Y

  2.99

  2.02

  2.71

  42 The result of the t test used manual calculation, it was found the t observed was greater than the t at 5% significance level or 2.99 > 2.02. It means H

  table a

  (there is significant correlation between vocabulary mastery and writing ability at SMP Muhammadiyah Palangka Raya) is accepted and H (there is no significant correlation between vocabulary mastery and writing ability at SMP Muhammadiyah Palangka raya) is rejected.

2. Testing Hypothesis using SPSS Calculation

  This study also applied SPSS 18 program to calculate

  correlation “r”

product moment in testing hypothesis of the study. The result of calculation SPSS

  18 to support the manual calculation could be seen as folllows:

Table 4.17 Correlation Index used SPSS 18 Program Correlations

• _** X Y Vocabulary (X) Pearson Correlation

  1 ,420 Sig. (2-tailed) ,005 Sum of Squares and Cross-products 6949.499 2627.960 Covariance 161.616 61.115 N

  44 _**

  44 Writing(Y) Pearson Correlation ,420

  1 Sig. (2-tailed) ,005 Sum of Squares and Cross-products 2627.960 5630.108 Covariance 61.115 130.933 N

  44

  44 The table showed the result of

  “r” product moment calculation using SPSS 18 program. Since the result of Pearson Correlation was 0.420. So, both of group there was correlation.

3. Interpretation

  To examine the truth of the false of null hypothesis, the result of Pearson

  

Correlation was 0.420. Correlation , so H a was accepted and H was rejected. The

  result of Pearson Correlation was interpreted on the result of degree freedom to get the t table . The result of the degree of freedom (df) was 42, it found from total number of the students in both group minus 2. The following table was the result of Pearson Correlation and

  “r” table from df at 5% level.

Table 4.18 the Result “r” Product Moment using SPSS 18

  

Variable Pearson Correltion r Df/db

_table 5% 1%

X-Y 0.420 0.304 0.393

  42 The result of the t test used SPSS 18 program. It was found the Pearson correlation was greater than the r table at 5% significance level or 0.420 > 0.304.

  It means that H a is accepted and H is rejected. Based on the table above there was moderate correlation between correlation variable vocabulary and writing.

  It could be interpreted based on the result of calculation that H there is

  a

  correlation between students’ vocabulary mastery and writing students’ ability at SMP Muhammadiyah Palangka Raya and H stating that there is no correlation between students’ vocabulary mastery and writing students’ ability at SMP Muhammadiyah Palangka Raya is rejected.

D. Discussions

  Based on the result of linear, the dots going from lower left to upper right indicate positive correlation. A scatter plot with dots going from lower left to upper right indicated a positive correlation as variable X goes up, variable Y also goes up. Scatter plot of also reveals the moderate of the correlation between variables. It means the data of vocabulary mastery and writing ability in the present study have good linear association. As the result, the data in the present study can be analyzed by using parametric statistic especially product moment correlation.

  Based on data analysis, vocabulary mastery gives contribution 17.64% to writing ability. The result of product moment correlation has shown that the value of r xy was greater than the value of t table at 5% and 1% significant levels (0.304 < 0.420 > 0.393). It means that null hypothesis was

  Next, the dots in scatter plot of variable X and variable Y going from lower left to upper right. It means there was positive correlation between vocabulary mastery and writing ability. The dots in the scatter plot also formed a narrow band. When a straight line was drawn through the band the dots would be near the line. It illustrated that there was moderate correlation between the variables. So this way, alternative hypothesis is accepted and null hypothesis is rejected.

  The result of calculation shows that average score of students’ vocabulary mastery is 65 . And the average score of students’ writing ability was 67. In the present study, the result finding have proved that there is positive correlation between vocabulary mastery and writing ability with the correlation coefficient between two variables was 0.420. It means that the result of the present study there is moderate correlation between vocabulary mastery and writing ability. Thus, it can be considered that between students’ vocabulary mastery and writing students ability at SMP Muhammadiyah

  Palangka Raya has a positive correlation.

  From the research findings, it can be considered that the good writers may effectively create a composition in case the may used word: therefore to have the adequate vocabulary knowledge is insisted for them. Writing is essential subject that useful for the students to develop their idea, express their emotion through writing. Besides, writing is representation of language in textual medium through the use of sign of symbols. The finding also

  In line with writing, the result also shows the students’ vocabulary mastery is important to be developed as theories (H.R Anthony) state in chapter II page 11. It means that related to writing skill in using vocabulary to make writing paragraph, they have to know the vocabulary. By having a lot of vocabulary, the students can improve their writing because writing is one of important skills in English.