CHAPTER IV RESEARCH FINDINGS
A. Data Description
The sample students are taken from all students of “MTs Nurul Amal”, Kramat Jati, East Jakarta. There are twenty seven students that divided into three
classes; Class VII: twelve students, Class VIII: seven students, and Class IX: eight students. All of them have studied the verb ‘be’ and ‘have’ in their classes from
the very beginning of the lesson. To know the results of the test, the writer tabulates the students’ errors and
the data are tabulated below:
Table 10: Incorrect Verb ‘Be’ Verb ‘Be’
No Name Am Is Are
Was Were
1 Abror
0 1 1 1 2 2
Agung Sobari Saputra 1
1 2
3 Ahmad
Bukhori 0 1 2 1 2
4 Ahmad
Rahayu 0 0 0 0 2
5 Asnawati
1 1 1 0 2 6
Bagus Wibowo
1 0 1 0 2 7
Balqis 0 0 0 0 2
8 Bambang
0 1 2 1 2 9
Dian Siti Sopiah 1
2 10
E. Taryana
0 1 1 1 2 11
Ginanjar Firdaus
1 0 0 1 2 12
Hastiwi 0 0 1 0 2
13 Iman
Hidayatullah 1 1 1 0 2 14
Islahuddin 1 1 0 0 2
15 Izzul
Waton 0 0 1 1 2
16 Jajang Sahid Sidik 1
1 1
17 Joni
Arlan 0 1 0 1 2
18 M.
Abjad 0 1 0 1 2
19 M.
Hadiyan Soleh 0 1 0 1 2
20 Muhammad
Nuh 0 1 1 1 2
21 Mulyadi
0 0 2 0 2 22
Neti Setiawati
0 1 0 1 2 23
Rahmat 1 2 1 1 2
24 Rika
Halimatusadiyah 0 1 1 1 2
25 Turhaili
0 1 0 1 2 26
Yuli Yanti
1 2 2 1 2 27
Zaenal Arifin
0 0 1 1 2
Total 7 19
21 18
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Table 11: Incorrect Verb ‘Have’ Verb ‘Have’
No Name Has Have Had
1 Abror 2
1 1
2 Agung Sobari Saputra
1 1
2 3 Ahmad
Bukhori 1
1 2
4 Ahmad Rahayu
2 5 Asnawati
2 2
1 6 Bagus
Wibowo 2
1 7 Balqis
1 2
8 Bambang 2
1 2
9 Dian Siti Sopiah
2 2
2 10 E.
Taryana 2
2 11 Ginanjar
Firdaus 2
1 12 Hastiwi
2 2
2 13 Iman
Hidayatullah 2
2 14 Islahuddin
2 2
15 Izzul Waton
2 2
16 Jajang Sahid Sidik 2
1 2
17 Joni Arlan
2
18 M. Abjad
2 2
19 M. Hadiyan
Soleh 2
1 20 Muhammad
Nuh 1
2 2
21 Mulyadi 2
2 22 Neti
Setiawati 2
1 2
23 Rahmat 1
1 2
24 Rika Halimatusadiyah
2 1
1 25 Turhaili
1 1
2 26 Yuli
Yanti 2
1 2
27 Zaenal Arifin
2 2
2
Total 42 22
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The grammar test of students are collected and analyzed in the form of percentage by using this formula:
F P = —— x 100
N
P = Percentage F = Frequency of errors occurrence
N = Number of verb ‘be’ and ‘have’ After calculating the percentage of error, the writer presents his circulation on the
table below approximately the frequency of errors.
Table 12: The Percentage of Verb ’Be’ Errors Verb ‘Be’ Number of Verb ‘Be’
Frequency of Errors Occurrence Percentage Am 54
7 3
Is 54 19
8 Are 54
21 9
Was 27 18
7 Were 54
53 21
Total 243 118
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Table 13: The Percentage of Verb ‘Have’ Errors Verb ‘Have’
Number of Verb ‘Have’
Frequency of Errors Occurrence
Percentage Has 54
42 26
Have 54 22
14 Had 54
28 17
Total 162 92
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Table 14: The Percentage of Total Errors
Kinds of Verb Number of
Each Verb Frequency of
Errors Occurrence Percentage
Verb ‘Be’ 243
118 29
Verb ‘Have’ 162
92 23
Total 405 210
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B. Data Analysis and Error Causes
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