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# Bab iii

Analisis Laporan Komputer jurusan Pendidikan Matematika bagian BAB III

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### Bab iii

1. 1. 45 BAB III HASIL PRINT OUTA. Uji Normalitas Data B. NPar Tests Descriptive Statistics N Mean Std. Deviation Minimum MaximumNilai sebelum pembelajaran 100 49,2700 10,30137 30,00 70,00matematikaNilai Harian 1 setelah 100 70,4400 9,63718 40,00 90,00pembelajaran matematikaNilai Harian 2 100 74,3500 11,56132 45,00 100,00Nilai Formatif 100 75,9400 11,43344 50,00 100,00Nilai Sumatif 100 76,2700 11,47756 30,00 95,00Nilai Raport 100 74,4500 7,42011 50,00 90,00 One-Sample Kolmogorov-Smirnov Test Nilai sebelum Nilai Harian 1 Nilai Nilai Nilai Nilai pembelajaran setelah Harian 2 Formatif Sumatif Raport matematika pembelajaran matematikaN 100 100 100 100 100 100 M a,b eNormal Parameters 49,2700 70,4400 74,3500 75,9400 76,2700 74,4500 a n
2. 2. 46 S t d . D e 11,4334 11,4775 10,30137 9,63718 11,56132 7,42011 v 4 6 i a ti o n A b s o ,131 ,122 ,167 ,189 ,167 ,180 l u t e P o sMost Extreme Differences it ,122 ,111 ,113 ,101 ,093 ,127 i v e N e g a -,131 -,122 -,167 -,189 -,167 -,180 ti v eKolmogorov-Smirnov Z 1,312 1,218 1,675 1,887 1,674 1,795Asymp. Sig. (2-tailed) ,064 ,103 ,007 ,002 ,007 ,003a. Test distribution is Normal.b. Calculated from data.[DataSet1] C:UsersTOSHIBADocumentsdata komputer spss dina.sav
3. 3. 47 Case Processing Summary Nilai Nilai Harian Nilai Harian Nilai Nilai Nilai sebelum 1 setelah 2 Formatif Sumatif Raport pembelajar pembelajar an an matematika matematikaSeries or Sequence Length 100 100 100 100 100 100 User- 0 0 0 0 0 0Number of Missing Values in Missingthe Plot System- 0 0 0 0 0 0 MissingThe cases are unweighted. Estimated Distribution Parameters Nilai Nilai Harian 1 Nilai Harian Nilai Nilai Sumatif Nilai sebelum setelah 2 Formatif Raport pembelajara pembelajaran n matematika matematika Locati 49,2700 70,4400 74,3500 75,9400 76,2700 74,4500 Normal Distribution on Scale 10,30137 9,63718 11,56132 11,43344 11,47756 7,42011 The cases are unweighted. Nilai sebelum pembelajaran matematika
4. 4. 48
5. 5. 49Nilai Harian 1 setelah pembelajaran matematika
6. 6. 50
7. 7. 51Nilai Harian 2
8. 8. 52Nilai Formatif
9. 9. 53Nilai SumatifNilai Raport
10. 10. 54C. Statistika Deskriftif 1. Analisis Frequensi Frequencies
11. 11. 55 Frequency Table Statistics Asal SD Pendidikan Sex Minat Motivasi Kegiatan Keikutsertaan Orang Tua Ekstrakurikuler Bimbingan yg diikuti siswa Belajar Valid 100 100 100 100 100 100 100N Missing 0 0 0 0 0 0 0 Asal SD Frequency Percent Valid Percent Cumulative Percent Kota Negeri 24 24,0 24,0 24,0 Kota Suasta 37 37,0 37,0 61,0 Valid Desa Negeri 21 21,0 21,0 82,0 Desa Suasta 18 18,0 18,0 100,0 Total 100 100,0 100,0 Pendidikan Orang Tua Frequency Percent Valid Percent Cumulative Percent Tidak sekolah 11 11,0 11,0 11,0 Lulus SD 24 24,0 24,0 35,0 Lulus SMP 23 23,0 23,0 58,0 Valid Lulus SMA 19 19,0 19,0 77,0 Lulus S1 15 15,0 15,0 92,0 Lulus S2 atau S3 8 8,0 8,0 100,0 Total 100 100,0 100,0
12. 12. 56 Sex Frequency Percent Valid Percent Cumulative Percent Laki-laki 57 57,0 57,0 57,0Valid Perempuan 43 43,0 43,0 100,0 Total 100 100,0 100,0 Minat Frequency Percent Valid Percent Cumulative Percent Kurang Minat 29 29,0 29,0 29,0 Berminat 41 41,0 41,0 70,0Valid Sangat Berminat 30 30,0 30,0 100,0 Total 100 100,0 100,0 Motivasi Frequency Percent Valid Percent Cumulative Percent Tidak ada Motivasi 18 18,0 18,0 18,0 Kurang Motivasi 30 30,0 30,0 48,0Valid Bermotivasi 23 23,0 23,0 71,0 Sangat Bermotivasi 29 29,0 29,0 100,0 Total 100 100,0 100,0 Keikutsertaan Bimbingan Belajar Frequency Percent Valid Percent Cumulative Percent 0 1 1,0 1,0 1,0 Tidak Ikut 24 24,0 24,0 25,0Valid Kadang-kadang ikut 46 46,0 46,0 71,0 Sering Ikut 28 28,0 28,0 99,0 4 1 1,0 1,0 100,0
13. 13. 57 Total 100 100,0 100,0 Kegiatan Ekstrakurikuler yg diikuti siswa Frequency Percent Valid Percent Cumulative Percent Tidak pernah aktif sama sekali 11 11,0 11,0 11,0 Tidak pernah aktif 26 26,0 26,0 37,0 Jarang aktif 24 24,0 24,0 61,0Valid Aktif 10 10,0 10,0 71,0 Sering Aktif 21 21,0 21,0 92,0 Sangat Aktif 8 8,0 8,0 100,0 Total 100 100,0 100,0Bar Chart
14. 14. 58
15. 15. 59
16. 16. 60
17. 17. 61Frequency Table Nilai sebelum pembelajaran matematika Frequency Percent Valid Percent Cumulative Percent 30,00 6 6,0 6,0 6,0 35,00 5 5,0 5,0 11,0Valid 40,00 19 19,0 19,0 30,0 45,00 13 13,0 13,0 43,0 47,00 1 1,0 1,0 44,0
18. 18. 62 50,00 21 21,0 21,0 65,0 55,00 7 7,0 7,0 72,0 60,00 19 19,0 19,0 91,0 65,00 5 5,0 5,0 96,0 70,00 4 4,0 4,0 100,0 Total 100 100,0 100,0 Nilai Harian 1 setelah pembelajaran matematika Frequency Percent Valid Percent Cumulative Percent 40,00 1 1,0 1,0 1,0 45,00 1 1,0 1,0 2,0 50,00 1 1,0 1,0 3,0 55,00 2 2,0 2,0 5,0 60,00 20 20,0 20,0 25,0 65,00 8 8,0 8,0 33,0 67,00 1 1,0 1,0 34,0 68,00 2 2,0 2,0 36,0 70,00 22 22,0 22,0 58,0Valid 72,00 1 1,0 1,0 59,0 74,00 1 1,0 1,0 60,0 75,00 12 12,0 12,0 72,0 76,00 2 2,0 2,0 74,0 77,00 1 1,0 1,0 75,0 80,00 16 16,0 16,0 91,0 85,00 5 5,0 5,0 96,0 86,00 1 1,0 1,0 97,0 90,00 3 3,0 3,0 100,0 Total 100 100,0 100,0 Nilai Harian 2 Frequency Percent Valid Percent Cumulative Percent
19. 19. 63 45,00 1 1,0 1,0 1,0 50,00 4 4,0 4,0 5,0 55,00 2 2,0 2,0 7,0 60,00 12 12,0 12,0 19,0 65,00 5 5,0 5,0 24,0 70,00 19 19,0 19,0 43,0Valid 75,00 9 9,0 9,0 52,0 80,00 28 28,0 28,0 80,0 85,00 8 8,0 8,0 88,0 90,00 9 9,0 9,0 97,0 100,00 3 3,0 3,0 100,0 Total 100 100,0 100,0 Nilai Formatif Frequency Percent Valid Percent Cumulative Percent 50,00 3 3,0 3,0 3,0 55,00 1 1,0 1,0 4,0 60,00 14 14,0 14,0 18,0 65,00 6 6,0 6,0 24,0 68,00 2 2,0 2,0 26,0 70,00 11 11,0 11,0 37,0 75,00 6 6,0 6,0 43,0 77,00 1 1,0 1,0 44,0Valid 78,00 1 1,0 1,0 45,0 80,00 29 29,0 29,0 74,0 85,00 8 8,0 8,0 82,0 88,00 1 1,0 1,0 83,0 90,00 12 12,0 12,0 95,0 95,00 4 4,0 4,0 99,0 100,00 1 1,0 1,0 100,0 Total 100 100,0 100,0
20. 20. 64 Nilai Sumatif Frequency Percent Valid Percent Cumulative Percent 30,00 1 1,0 1,0 1,0 40,00 1 1,0 1,0 2,0 50,00 1 1,0 1,0 3,0 57,00 1 1,0 1,0 4,0 60,00 11 11,0 11,0 15,0 65,00 2 2,0 2,0 17,0 70,00 15 15,0 15,0 32,0 75,00 11 11,0 11,0 43,0Valid 77,00 1 1,0 1,0 44,0 78,00 2 2,0 2,0 46,0 80,00 26 26,0 26,0 72,0 85,00 12 12,0 12,0 84,0 87,00 2 2,0 2,0 86,0 88,00 1 1,0 1,0 87,0 90,00 9 9,0 9,0 96,0 95,00 4 4,0 4,0 100,0 Total 100 100,0 100,0 Nilai Raport Frequency Percent Valid Percent Cumulative Percent 50,00 2 2,0 2,0 2,0 55,00 1 1,0 1,0 3,0 60,00 4 4,0 4,0 7,0 65,00 6 6,0 6,0 13,0 70,00 20 20,0 20,0 33,0Valid 71,00 1 1,0 1,0 34,0 74,00 1 1,0 1,0 35,0 75,00 26 26,0 26,0 61,0 76,00 2 2,0 2,0 63,0 78,00 2 2,0 2,0 65,0
21. 21. 65 80,00 25 25,0 25,0 90,0 85,00 8 8,0 8,0 98,0 87,00 1 1,0 1,0 99,0 90,00 1 1,0 1,0 100,0 Total 100 100,0 100,0Bar Chart
22. 22. 66
23. 23. 67
24. 24. 68
25. 25. 69
26. 26. 702. Analisis Deskriftif Descriptives Descriptive Statistics N Minimum Maximum Mean Std. Deviation Nilai sebelum pembelajaran 100 30,00 70,00 49,2700 10,30137 matematika Nilai Harian 1 setelah 100 40,00 90,00 70,4400 9,63718 pembelajaran matematika Nilai Harian 2 100 45,00 100,00 74,3500 11,56132 Nilai Formatif 100 50,00 100,00 75,9400 11,43344 Nilai Sumatif 100 30,00 95,00 76,2700 11,47756 Nilai Raport 100 50,00 90,00 74,4500 7,42011 Valid N (listwise) 100
27. 27. 713. Analisis CrosstabsCrosstabsCrosstabs[DataSet1] C:UsersTOSHIBADocumentsdata komputer spss dina.sav Case Processing Summary Cases Valid Missing Total N Percent N Percent N Percent Asal SD * Minat 100 100,0% 0 0,0% 100 100,0% Asal SD * Motivasi 100 100,0% 0 0,0% 100 100,0% Asal SD * Kegiatan 100 100,0% 0 0,0% 100 100,0% Ekstrakurikuler yg diikuti siswa Asal SD * Keikutsertaan 100 100,0% 0 0,0% 100 100,0% Bimbingan Belajar Asal SD * Belajar di rumah 100 100,0% 0 0,0% 100 100,0% Pendidikan Orang Tua * Minat 100 100,0% 0 0,0% 100 100,0% Pendidikan Orang Tua * 100 100,0% 0 0,0% 100 100,0% Motivasi Pendidikan Orang Tua * Kegiatan Ekstrakurikuler yg 100 100,0% 0 0,0% 100 100,0% diikuti siswa Pendidikan Orang Tua * Keikutsertaan Bimbingan 100 100,0% 0 0,0% 100 100,0% Belajar Pendidikan Orang Tua * Belajar 100 100,0% 0 0,0% 100 100,0% di rumah Sex * Minat 100 100,0% 0 0,0% 100 100,0% Sex * Motivasi 100 100,0% 0 0,0% 100 100,0% Sex * Kegiatan Ekstrakurikuler 100 100,0% 0 0,0% 100 100,0% yg diikuti siswa Sex * Keikutsertaan Bimbingan 100 100,0% 0 0,0% 100 100,0% Belajar
28. 28. 72Sex * Belajar di rumah 100 100,0% 0 0,0% 100 100,0%Asal SD * Minat CrosstabCount Minat Total Kurang Minat Berminat Sangat Berminat Kota Negeri 7 10 7 24 Kota Suasta 8 14 15 37Asal SD Desa Negeri 9 9 3 21 Desa Suasta 5 8 5 18Total 29 41 30 100 Chi-Square Tests Value df Asymp. Sig. (2- sided) aPearson Chi-Square 5,391 6 ,495Likelihood Ratio 5,563 6 ,474Linear-by-Linear Association ,634 1 ,426N of Valid Cases 100a. 0 cells (,0%) have expected count less than 5. The minimum expected count is5,22.
29. 29. 73Asal SD * Motivasi CrosstabCount Motivasi Total Tidak ada Kurang Motivasi Bermotivasi Sangat Motivasi Bermotivasi Kota Negeri 5 7 6 6Asal SD Kota Suasta 6 14 5 12 Desa Negeri 5 3 8 5
30. 30. 74 Desa Suasta 2 6 4 6Total 18 30 23 29 Chi-Square Tests Value df Asymp. Sig. (2- sided) aPearson Chi-Square 7,768 9 ,558Likelihood Ratio 8,078 9 ,526Linear-by-Linear Association ,413 1 ,520N of Valid Cases 100a. 5 cells (31,3%) have expected count less than 5. The minimum expected countis 3,24.
31. 31. 75Asal SD * Kegiatan Ekstrakurikuler yg diikuti siswa CrosstabCount Kegiatan Ekstrakurikuler yg diikuti siswa Tidak pernah aktif Tidak pernah aktif Jarang aktif Aktif Sering Aktif sama sekali Kota Negeri 2 9 3 3 5 Kota Suasta 4 8 8 4 9Asal SD Desa Negeri 2 6 7 1 5 Desa Suasta 3 3 6 2 2Total 11 26 24 10 21 Chi-Square Tests Value df Asymp. Sig. (2- sided) aPearson Chi-Square 9,850 15 ,829Likelihood Ratio 11,791 15 ,695Linear-by-Linear Association ,278 1 ,598N of Valid Cases 100a. 16 cells (66,7%) have expected count less than 5. The minimum expectedcount is 1,44.
32. 32. 76Asal SD * Keikutsertaan Bimbingan Belajar CrosstabCount Keikutsertaan Bimbingan Belajar Tota 0 Tidak Ikut Kadang-kadang Sering Ikut 4 ikut Kota Negeri 1 5 9 9 0Asal SD Kota Suasta 0 11 21 5 0 Desa Negeri 0 6 6 8 1
33. 33. 77 Desa Suasta 0 2 10 6 0Total 1 24 46 28 1 Chi-Square Tests Value df Asymp. Sig. (2- sided) aPearson Chi-Square 16,509 12 ,169Likelihood Ratio 16,482 12 ,170Linear-by-Linear Association 1,175 1 ,278N of Valid Cases 100a. 9 cells (45,0%) have expected count less than 5. The minimum expected countis ,18.
34. 34. 78Asal SD * Belajar di rumah CrosstabCount Belajar di rumah Total Tidak belajar Belajar Kota Negeri 12 12 24 Kota Suasta 18 19 37Asal SD Desa Negeri 9 12 21 Desa Suasta 9 9 18Total 48 52 100 Chi-Square Tests Value df Asymp. Sig. (2- sided) aPearson Chi-Square ,296 3 ,961Likelihood Ratio ,297 3 ,961Linear-by-Linear Association ,026 1 ,871N of Valid Cases 100a. 0 cells (,0%) have expected count less than 5. The minimum expected count is8,64.
35. 35. 79Pendidikan Orang Tua * Minat CrosstabCount Minat Total Kurang Minat Berminat Sangat Berminat Tidak sekolah 2 5 4 11 Lulus SD 12 9 3 24Pendidikan Orang Tua Lulus SMP 6 7 10 23 Lulus SMA 0 14 5 19
36. 36. 80 Lulus S1 7 3 5 15 Lulus S2 atau S3 2 3 3 8Total 29 41 30 100 Chi-Square Tests Value df Asymp. Sig. (2- sided) aPearson Chi-Square 22,951 10 ,011Likelihood Ratio 27,617 10 ,002Linear-by-Linear Association ,604 1 ,437N of Valid Cases 100a. 8 cells (44,4%) have expected count less than 5. The minimum expected countis 2,32.
37. 37. 81Pendidikan Orang Tua * Motivasi CrosstabCount Motivasi Total Tidak Kurang Bermotivasi Sangat ada Motivasi Bermotivasi Motiva si Tidak 2 4 4 1 11 sekolah Lulus SD 3 7 5 9 24 Lulus SMP 4 3 5 11 23Pendidikan Orang Tua Lulus SMA 3 10 3 3 19 Lulus S1 5 3 4 3 15 Lulus S2 1 3 2 2 8 atau S3Total 18 30 23 29 100 Chi-Square Tests Value df Asymp. Sig. (2- sided) aPearson Chi-Square 16,775 15 ,333Likelihood Ratio 16,733 15 ,335Linear-by-Linear Association ,782 1 ,376N of Valid Cases 100a. 16 cells (66,7%) have expected count less than 5. The minimum expectedcount is 1,44.
38. 38. 82Pendidikan Orang Tua * Kegiatan Ekstrakurikuler yg diikutisiswa CrosstabCount Kegiatan Ekstrakurikuler yg diikuti siswa Total Tidak Tidak Jarang Aktif Sering Sang pernah pernah aktif Aktif at aktif sama aktif Aktif sekali
39. 39. 83 Tida k 3 3 2 1 0 2 11 sekol ah Lulus 2 5 6 2 8 1 24 SD Lulus 3 6 4 4 4 2 23 SMPPendidikan Orang Tua Lulus 2 2 7 2 5 1 19 SMA Lulus 0 5 5 1 3 1 15 S1 Lulus S2 1 5 0 0 1 1 8 atau S3Total 11 26 24 10 21 8 100 Chi-Square Tests Value df Asymp. Sig. (2- sided) aPearson Chi-Square 24,654 25 ,482Likelihood Ratio 28,992 25 ,264Linear-by-Linear Association ,013 1 ,908N of Valid Cases 100a. 31 cells (86,1%) have expected count less than 5. The minimum expectedcount is ,64.
40. 40. 84Pendidikan Orang Tua * Keikutsertaan Bimbingan Belajar CrosstabCount Keikutsertaan Bimbingan Belajar Total 0 Tidak Kadang- Sering 4 Ikut kadang ikut Ikut
41. 41. 85 Tida k 1 1 6 3 0 11 sekol ah Lulus 0 7 9 8 0 24 SD Lulus 0 6 12 5 0 23 SMPPendidikan Orang Tua Lulus 0 5 8 6 0 19 SMA Lulus 0 2 6 6 1 15 S1 Lulus S2 0 3 5 0 0 8 atau S3Total 1 24 46 28 1 100 Chi-Square Tests Value df Asymp. Sig. (2- sided) aPearson Chi-Square 21,508 20 ,368Likelihood Ratio 18,432 20 ,559Linear-by-Linear Association ,029 1 ,865N of Valid Cases 100a. 20 cells (66,7%) have expected count less than 5. The minimum expectedcount is ,08.
42. 42. 86Pendidikan Orang Tua * Belajar di rumah CrosstabCount Belajar di rumah Total Tidak belajar Belajar Tidak sekolah 6 5 11 Lulus SD 11 13 24 Lulus SMP 14 9 23Pendidikan Orang Tua Lulus SMA 8 11 19 Lulus S1 7 8 15 Lulus S2 atau S3 2 6 8Total 48 52 100
43. 43. 87 Chi-Square Tests Value df Asymp. Sig. (2- sided) aPearson Chi-Square 3,731 5 ,589Likelihood Ratio 3,829 5 ,574Linear-by-Linear Association 1,187 1 ,276N of Valid Cases 100a. 2 cells (16,7%) have expected count less than 5. The minimum expected countis 3,84.Sex * Minat
44. 44. 88 CrosstabCount Minat Total Kurang Minat Berminat Sangat Berminat Laki-laki 17 23 17 57Sex Perempuan 12 18 13 43Total 29 41 30 100 Chi-Square Tests Value df Asymp. Sig. (2- sided) aPearson Chi-Square ,046 2 ,977Likelihood Ratio ,046 2 ,977Linear-by-Linear Association ,022 1 ,881N of Valid Cases 100a. 0 cells (,0%) have expected count less than 5. The minimum expected count is12,47.
45. 45. 89Sex * Motivasi CrosstabCount Motivasi Total Tidak ada Kurang Bermotiva Sangat Motivasi Motivasi si Bermotivasi Laki-laki 8 17 14 18 57Sex Perempuan 10 13 9 11 43Total 18 30 23 29 100 Chi-Square Tests Value df Asymp. Sig. (2- sided) aPearson Chi-Square 1,604 3 ,659Likelihood Ratio 1,593 3 ,661Linear-by-Linear Association 1,277 1 ,258N of Valid Cases 100a. 0 cells (,0%) have expected count less than 5. The minimum expected count is7,74.
46. 46. 90Sex * Kegiatan Ekstrakurikuler yg diikuti siswa CrosstabCount Kegiatan Ekstrakurikuler yg diikuti siswa T Tidak Tidak Jarang Aktif Sering Aktif Sangat o pernah pernah aktif Aktif t aktif sama aktif a sekali l Laki- 5 4 16 13 8 10 6 laki 7Sex Perem 4 7 10 11 2 11 2 puan 3 1Total 11 26 24 10 21 8 0 0 Chi-Square Tests Value df Asymp. Sig. (2- sided) aPearson Chi-Square 6,178 5 ,289Likelihood Ratio 6,422 5 ,267Linear-by-Linear Association ,646 1 ,422N of Valid Cases 100a. 4 cells (33,3%) have expected count less than 5. The minimum expected countis 3,44.
47. 47. 91Sex * Keikutsertaan Bimbingan Belajar CrosstabCount Keikutsertaan Bimbingan Belajar Total 0 Tidak Kadang- Sering 4 Ikut kadang ikut Ikut Laki-laki 1 17 24 14 1 57Sex Perempuan 0 7 22 14 0 43Total 1 24 46 28 1 100 Chi-Square Tests Value df Asymp. Sig. (2- sided) aPearson Chi-Square 4,379 4 ,357Likelihood Ratio 5,190 4 ,268Linear-by-Linear Association 1,882 1 ,170N of Valid Cases 100a. 4 cells (40,0%) have expected count less than 5. The minimum expected countis ,43.
48. 48. 92Sex * Belajar di rumah CrosstabCount Belajar di rumah Total Tidak belajar Belajar Laki-laki 30 27 57Sex Perempuan 18 25 43Total 48 52 100 Chi-Square Tests Value df Asymp. Sig. Exact Sig. (2- Exact Sig. (2-sided) sided) (1-sided) aPearson Chi-Square 1,139 1 ,286 bContinuity Correction ,749 1 ,387Likelihood Ratio 1,143 1 ,285Fishers Exact Test ,317 ,194Linear-by-Linear 1,128 1 ,288AssociationN of Valid Cases 100
49. 49. 93a. 0 cells (,0%) have expected count less than 5. The minimum expected count is 20,64.b. Computed only for a 2x2 table A. Analisis Statistika Parametrik 1. Uji Beda Satu Sampel T-Test [DataSet0] C:UsersTOSHIBADocumentsSPSS latihan komputer 2.s baruav.sav One-Sample Statistics N Mean Std. Deviation Std. Error MeanNilai Harian 1 setelah 100 70,4400 9,63718 ,96372pembelajaran matematikaNilai Harian 2 100 74,3500 11,56132 1,15613Nilai Formatif 100 75,9400 11,43344 1,14334Nilai Sumatif 100 76,2700 11,47756 1,14776Nilai Raport 100 74,4300 7,41314 ,74131 One-Sample Test Test Value = 70 t df Sig. (2- Mean 95% Confidence Interval of tailed) Difference the Difference
50. 50. 94 Lower Upper Nilai Harian 1 setelah ,457 99 ,649 ,44000 -1,4722 2,3522 pembelajaran matematika Nilai Harian 2 3,763 99 ,000 4,35000 2,0560 6,6440 Nilai Formatif 5,195 99 ,000 5,94000 3,6714 8,2086 Nilai Sumatif 5,463 99 ,000 6,27000 3,9926 8,5474 Nilai Raport 5,976 99 ,000 4,43000 2,9591 5,9009 T-Test Group Statistics Sex N Mean Std. Std. Deviation Error Mean Laki-laki 57 70,6491 8,56382 1,13431Nilai Harian 1 setelah Perempupembelajaran matematika 43 70,1628 10,99985 1,67746 an Independent Samples Test Levenes t-test for Equality of Means Test for Equality of Varianc es F Sig t df Sig. (2- Mea Std. Error 95% Confidence . tailed) n Difference Interval of the Diffe Difference renc Lower Upper e Equal varianNilai Harian 1 setelah pembelajaran 3,9 ,05 ,24 ,486 ces 98 ,804 1,95590 -3,39508 4,36774matematika 41 0 9 33 assum ed
51. 51. 95 Equal varian ces ,24 77,1 ,486 ,811 2,02498 -3,54583 4,51849 not 0 00 33 assum ed T-Test[DataSet1] C:UsersTOSHIBADocumentsdata komputer spss dina.sav Paired Samples Statistics Mean N Std. Std. Error Deviation Mean Nilai Harian 1 setelah 70,4400 100 9,63718 ,96372Pair 1 pembelajaran matematika Minat 2,01 100 ,772 ,077 Nilai Harian 1 setelah 70,4400 100 9,63718 ,96372Pair 2 pembelajaran matematika Motivasi 2,63 100 1,089 ,109 Paired Samples Correlations N Correlation Sig. Nilai Harian 1 setelahPair 1 pembelajaran matematika & 100 -,016 ,878 Minat Nilai Harian 1 setelahPair 2 pembelajaran matematika & 100 ,010 ,922 Motivasi Paired Samples Test Paired Differences t df Sig. (2- Mean Std. Std. Error 95% Confidence tailed) Deviation Mean Interval of the Difference Lower Upper Nilai Harian 1 setelah 68,4300 66,5092 70,350Pair 1 9,67999 ,96800 70,692 99 ,000 pembelajaran 0 8 72 matematika - Minat
52. 52. 96 Nilai Harian 1 setelah 67,8100 65,8877 69,732Pair 2 pembelajaran 9,68775 ,96877 69,996 99 ,000 0 4 26 matematika - Motivasi 2. Uji Beda 2 Variabel Bebas Group Statistics Sex N Mean Std. Std. Deviation Error Mean 1,1343 Laki-laki 57 70,6491 8,56382Nilai Harian 1 setelah 1pembelajaran matematika Perempu 1,6774 43 70,1628 10,99985 an 6 Independent Samples Test Levenes t-test for Equality of Means Test for Equality of Variances F Sig. t df Sig. (2- Mean Std. 95% tailed) Differe Error Confidence nce Differe Interval of the nce Difference Lower Uppe r Equal varianc - 3,94 1,9559 4,36 es ,050 ,249 98 ,804 ,48633 3,3950 1 0 774 assume 8Nilai Harian 1 setelah dpembelajaran matematika Equal varianc - 77,10 2,0249 4,51 es not ,240 ,811 ,48633 3,5458 0 8 849 assume 3 d
53. 53. 97 2. Uji Beda 3 Variabel Bebas Oneway [DataSet1] C:UsersTOSHIBADocumentsdata komputer spss dina.sav DescriptivesNilai Raport N Mea Std. Std. Error 95% Confidence Minimum Maximum n Deviation Interval for Mean Lower Upper Bound Bound 73,1Tidak sekolah 11 10,31327 3,10957 66,2533 80,1104 50,00 85,00 818 75,0Lulus SD 24 7,15954 1,46144 72,0185 78,0649 60,00 87,00 417 72,1Lulus SMP 23 8,42240 1,75619 68,4883 75,7726 50,00 85,00 304 76,3Lulus SMA 19 6,42956 1,47504 73,2168 79,4147 65,00 90,00 158 74,6Lulus S1 15 6,39940 1,65232 71,1228 78,2105 60,00 85,00 667Lulus S2 atau 76,2 8 3,53553 1,25000 73,2942 79,2058 70,00 80,00S3 500 74,4Total 100 7,42011 ,74201 72,9777 75,9223 50,00 90,00 500 Test of Homogeneity of VariancesNilai Raport Levene Statistic df1 df2 Sig. 1,305 5 94 ,268 ANOVANilai Raport Sum of Squares df Mean Square F Sig.Between Groups 242,608 5 48,522 ,876 ,501Within Groups 5208,142 94 55,406
54. 54. 98Total 5450,750 99 Post Hoc Tests Multiple ComparisonsDependent Variable: Nilai RaportLSD(I) Pendidikan Orang Tua (J) Pendidikan Mean Std. Sig. 95% Confidence Interval Orang Tua Differen Error Lower Upper ce (I-J) Bound Bound - 2,7102 Lulus SD ,494 -7,2411 3,5214 1,85985 5 2,7287 Lulus SMP 1,05138 ,701 -4,3665 6,4693 1 - 2,8201Tidak sekolah Lulus SMA ,269 -8,7334 2,4654 3,13397 0 - 2,9547 Lulus S1 ,616 -7,3516 4,3819 1,48485 6 - 3,4587 Lulus S2 atau S3 ,377 -9,9355 3,7991 3,06818 0 2,7102 Tidak sekolah 1,85985 ,494 -3,5214 7,2411 5 2,1719 Lulus SMP 2,91123 ,183 -1,4013 7,2238 9 - 2,2857Lulus SD Lulus SMA ,579 -5,8125 3,2643 1,27412 5 2,4499 Lulus S1 ,37500 ,879 -4,4894 5,2394 6 - 3,0388 Lulus S2 atau S3 ,692 -7,2419 4,8253 1,20833 0 - 2,7287 Tidak sekolah ,701 -6,4693 4,3665 1,05138 1 - 2,1719 Lulus SD ,183 -7,2238 1,4013 2,91123 9Lulus SMP - 2,3076 Lulus SMA ,073 -8,7672 ,3964 4,18535 0 - 2,4703 Lulus S1 ,307 -7,4412 2,3687 2,53623 6
55. 55. 99 - 3,0552 Lulus S2 atau S3 ,181 -10,1859 1,9467 4,11957 7 2,8201 Tidak sekolah 3,13397 ,269 -2,4654 8,7334 0 2,2857 Lulus SD 1,27412 ,579 -3,2643 5,8125 5 2,3076Lulus SMA Lulus SMP 4,18535 ,073 -,3964 8,7672 0 2,5709 Lulus S1 1,64912 ,523 -3,4556 6,7538 6 3,1371 Lulus S2 atau S3 ,06579 ,983 -6,1631 6,2947 7 2,9547 Tidak sekolah 1,48485 ,616 -4,3819 7,3516 6 2,4499 Lulus SD -,37500 ,879 -5,2394 4,4894 6 2,4703Lulus S1 Lulus SMP 2,53623 ,307 -2,3687 7,4412 6 - 2,5709 Lulus SMA ,523 -6,7538 3,4556 1,64912 6 - 3,2587 Lulus S2 atau S3 ,628 -8,0537 4,8870 1,58333 5 3,4587 Tidak sekolah 3,06818 ,377 -3,7991 9,9355 0 3,0388 Lulus SD 1,20833 ,692 -4,8253 7,2419 0 3,0552Lulus S2 atau S3 Lulus SMP 4,11957 ,181 -1,9467 10,1859 7 3,1371 Lulus SMA -,06579 ,983 -6,2947 6,1631 7 3,2587 Lulus S1 1,58333 ,628 -4,8870 8,0537 5 4. Uji Regresi dan Korelasi antar Variabel a. Regresi Linier Sederhana Regression [DataSet1] C:UsersTOSHIBADocumentsdata komputer spss dina.sav
56. 56. 100 Descriptive Statistics Mean Std. Deviation NNilai Sumatif 76,2700 11,47756 100Keikutsertaan Bimbingan 2,04 ,777 100BelajarMotivasi 2,63 1,089 100 Correlations Nilai Sumatif Keikutsertaan Motivasi Bimbingan Belajar Nilai Sumatif 1,000 ,090 ,075 Keikutsertaan BimbinganPearson Correlation ,090 1,000 -,078 Belajar Motivasi ,075 -,078 1,000 Nilai Sumatif . ,185 ,229 Keikutsertaan BimbinganSig. (1-tailed) ,185 . ,221 Belajar Motivasi ,229 ,221 . Nilai Sumatif 100 100 100 Keikutsertaan BimbinganN 100 100 100 Belajar Motivasi 100 100 100 a Variables Entered/RemovedModel Variables Variables Method Entered Removed Motivasi, Keikutsertaan1 . Enter Bimbingan b Belajara. Dependent Variable: Nilai Sumatifb. All requested variables entered. b Model SummaryModel R R Square Adjusted R Std. Error of the Square Estimate a1 ,122 ,015 -,005 11,50807a. Predictors: (Constant), Motivasi, Keikutsertaan Bimbingan Belajarb. Dependent Variable: Nilai Sumatif a ANOVA
57. 57. 101Model Sum of Squares df Mean Square F Sig. b Regression 195,439 2 97,719 ,738 ,4811 Residual 12846,271 97 132,436 Total 13041,710 99a. Dependent Variable: Nilai Sumatifb. Predictors: (Constant), Motivasi, Keikutsertaan Bimbingan Belajar a CoefficientsModel Unstandardized Coefficients Standardized t Sig. Coefficients B Std. Error Beta (Constant) 71,058 4,447 15,979 ,000 Keikutsertaan Bimbingan1 1,431 1,492 ,097 ,959 ,340 Belajar Motivasi ,872 1,066 ,083 ,818 ,415a. Dependent Variable: Nilai Sumatif a Residuals Statistics Minimum Maximum Mean Std. Deviation NPredicted Value 73,3605 79,3967 76,2700 1,40504 100Residual -43,36050 21,63950 ,00000 11,39124 100Std. Predicted Value -2,071 2,225 ,000 1,000 100Std. Residual -3,768 1,880 ,000 ,990 100a. Dependent Variable: Nilai Sumatif Charts
58. 58. 102 Correlations[DataSet1] C:UsersTOSHIBADocumentsdata komputer spss dina.sav Correlations Nilai Harian 1 Nilai Harian 2 Motivasi setelah pembelajaran matematika Pearson Correlation 1 ,133 ,010Nilai Harian 1 setelah Sig. (2-tailed) ,187 ,922pembelajaran matematika N 100 100 100 * Pearson Correlation ,133 1 ,234Nilai Harian 2 Sig. (2-tailed) ,187 ,019 N 100 100 100
59. 59. 103 * Pearson Correlation ,010 ,234 1Motivasi Sig. (2-tailed) ,922 ,019 N 100 100 100*. Correlation is significant at the 0.05 level (2-tailed). A. Analisis Statistika Nonparametrik 1. Uji Beda 1 Variabel Bebas Runs Test Nilai sebelum Nilai Harian 1 Nilai Nilai Nilai Nilai pembelajaran setelah Harian 2 Formatif Sumatif Raport matematika pembelajaran matematika aTest Value 50,00 70,00 75,00 80,00 80,00 75,00Cases < Test Value 44 36 43 45 46 35Cases >= Test Value 56 64 57 55 54 65Total Cases 100 100 100 100 100 100Number of Runs 46 39 49 37 33 52Z -,873 -1,764 -,209 -2,741 -3,577 1,216Asymp. Sig. (2-tailed) ,383 ,078 ,834 ,006 ,000 ,224a. MedianNPar TestsWilcoxon Signed Ranks Test Ranks N Mean Rank Sum of Ranks aNilai Harian 1 setelah Negative Ranks 3 9,50 28,50 bpembelajaran matematika - Nilai Positive Ranks 92 49,26 4531,50 csebelum pembelajaran Ties 5matematika Total 100 d Negative Ranks 44 40,94 1801,50 e Positive Ranks 46 49,86 2293,50Nilai Formatif - Nilai Harian 2 f Ties 10 Total 100 g Negative Ranks 56 42,49 2379,50 hNilai Raport - Nilai Sumatif Positive Ranks 31 46,73 1448,50 i Ties 13
60. 60. 104 Total 100a. Nilai Harian 1 setelah pembelajaran matematika < Nilai sebelum pembelajaran matematikab. Nilai Harian 1 setelah pembelajaran matematika > Nilai sebelum pembelajaran matematikac. Nilai Harian 1 setelah pembelajaran matematika = Nilai sebelum pembelajaran matematikad. Nilai Formatif < Nilai Harian 2e. Nilai Formatif > Nilai Harian 2f. Nilai Formatif = Nilai Harian 2g. Nilai Raport < Nilai Sumatifh. Nilai Raport > Nilai Sumatifi. Nilai Raport = Nilai Sumatif a Test Statistics Nilai Harian 1 Nilai Formatif - Nilai Raport - setelah Nilai Harian 2 Nilai Sumatif pembelajaran matematika - Nilai sebelum pembelajaran matematika b b cZ -8,373 -,994 -1,991Asymp. Sig. (2-tailed) ,000 ,320 ,046a. Wilcoxon Signed Ranks Testb. Based on negative ranks.c. Based on positive ranks.Sign Test Frequencies N a,d,gNilai Harian 1 setelah Negative Differences 3 b,e,hpembelajaran matematika - Nilai Positive Differences 92 c,f,isebelum pembelajaran Ties 5matematika Total 100 a,d,g Negative Differences 44 b,e,h Positive Differences 46Nilai Formatif - Nilai Harian 2 c,f,i Ties 10 Total 100 a,d,g Negative Differences 56Nilai Raport - Nilai Sumatif b,e,h Positive Differences 31
61. 61. 105 c,f,i Ties 13 Total 100a. Nilai Harian 1 setelah pembelajaran matematika < Nilai sebelumpembelajaran matematikab. Nilai Harian 1 setelah pembelajaran matematika > Nilai sebelumpembelajaran matematikac. Nilai Harian 1 setelah pembelajaran matematika = Nilai sebelumpembelajaran matematikad. Nilai Formatif < Nilai Harian 2e. Nilai Formatif > Nilai Harian 2f. Nilai Formatif = Nilai Harian 2g. Nilai Raport < Nilai Sumatifh. Nilai Raport > Nilai Sumatifi. Nilai Raport = Nilai Sumatif a Test Statistics Nilai Harian 1 Nilai Formatif - Nilai Raport - Nilai setelah Nilai Harian 2 Sumatif pembelajaran matematika - Nilai sebelum pembelajaran matematikaZ -9,029 -,105 -2,573Asymp. Sig. (2-tailed) ,000 ,916 ,010a. Sign Test 2. Uji Beda 2 Variabel Bebas NPar Tests Mann-Whitney Test Ranks Motivasi N Mean Rank Sum of Ranks Tidak ada Motivasi 18 20,97 377,50Nilai sebelum pembelajaran Bermotivasi 23 21,02 483,50matematika Total 41Nilai Harian 1 setelah Tidak ada Motivasi 18 18,61 335,00
62. 62. 106 pembelajaran matematika Bermotivasi 23 22,87 526,00 Total 41 Tidak ada Motivasi 18 19,44 350,00 Nilai Harian 2 Bermotivasi 23 22,22 511,00 Total 41 Tidak ada Motivasi 18 21,44 386,00 Nilai Formatif Bermotivasi 23 20,65 475,00 Total 41 Tidak ada Motivasi 18 22,33 402,00 Nilai Sumatif Bermotivasi 23 19,96 459,00 Total 41 Tidak ada Motivasi 18 23,00 414,00 Nilai Raport Bermotivasi 23 19,43 447,00 Total 41 a Test Statistics Nilai sebelum Nilai Harian 1 Nilai Nilai Nilai Nilai Raport pembelajaran setelah Harian Formatif Sumatif matematika pembelajaran 2 matematikaMann-Whitney U 206,500 164,000 179,000 199,000 183,000 171,000Wilcoxon W 377,500 335,000 350,000 475,000 459,000 447,000Z -,013 -1,145 -,751 -,213 -,641 -,978Asymp. Sig. (2-tailed) ,989 ,252 ,453 ,832 ,522 ,328a. Grouping Variable: Motivasi 3. Uji Beda 3 Variabel Bebas Kruskal-Wallis Test Ranks Minat N Mean Rank Kurang Minat 29 57,83 Nilai sebelum Berminat 41 47,16 pembelajaran Sangat Berminat 30 47,98 matematika Total 100