jenis jenis perusahaan yang ada di bursa efek

8/18/2019 Jenis Jenis perusahaan yang ada di BURSA EFEK

1/23

Lampiran 1

Klasifikasi Jenis IndustriPerusahaan Terdaftar Di Bursa Efek Indonesia

Sampai Dengan Periode 31 Desember 2009

No. Jenis Klasifikasi Jumlah

1. Pertanian 14

2. Pertambangan 14

3. Manufaktur 171

4. Properti,real estate

dan konstruksi bangunan 455. Infra stuktur, utilitas transportasi 24

6. Keuangan 69

7. Perdagangan 86

Total 423

Sumber: www.jsx.co.id, data telah diolah

http://www.jsx.co.id/http://www.jsx.co.id/


2/23

Lampiran 2

Devisa yang berasal dari perusahaan manufaktur

2007 2008

US $ 17,81 Miliar US $ 19,3 Miliar

Sumber: ILO, 2009


3/23

Lampiran 3

Pertumbuhan PDB Indonesia

No. Sektor 2008

1. Pertanian 3,47 %

2. Pertambangan dan Penggalian 1,93 %

3. Manufaktur 21,44 %

5. Bangunan 8,53 %

6. Perdagangan, hotel dan restoran 8,93 %

7. Pengangkutan dan komunikasi 14,04 %

8. Keuangan, persewaan dan jasa 7,99 %

Produk Domestik Bruto 66,33 %

Sumber : Bank Indonesia 2011


4/23

Lampiran 4

Daftar Perusahaan Manufaktur yang Memenuhi Kriteria Sampel

No. Nama Perusahaan Kriteria Keterangan

1 2 3

1. AALI √ √ √ Sampel 1

2. ADES √ √ ×3. ADRO √ × ×

4. ADMG √ √ ×5. AISA √ √ √ Sampel 26. AKPI √ × ×7. AKKU √ √ ×

8. ALMI √ × ×9. AMFG √ × ×

10. ANTM √ √ √ Sampel 311. APEX √ × ×12. APLI √ √ ×13. AQUA √ √ √ Sampel 414. ARGO √ × ×

15. ARNA √ √ √ Sampel 5

16. ARTI √ √ ×17. ASII √ √ √ Sampel 6

18. ATPK√

× ×19. AUTO √ √ √ Sampel 720. BATA √ √ √ Sampel 8

21. BATI √ × ×

22. BIMA √ √ ×23. BISI √ × ×24. BRAM √ √ √ Sampel 925. BRNA √ √ √ Sampel 1026. BRPT √ √ ×

27. BTEK √ √ ×

28. BTON √ √ √ Sampel 11

29. BUDI √ √ √ Sampel 1230. BUMI √ √ √ Sampel 1331. BWPT √ × ×32. BYAN √ × ×

33. CEKA √ √ √ Sampel 14

34. CITA √ √ √ Sampel 1535. CNKO. √ √ √ Sampel 1636. CXSS √ × ×37. CNTX √ √ ×38. CPDW √ √ ×

39. CPIN √ × ×


5/23

Lampiran 4 (Lanjutan)


1 2 3

40. CPRO √ √ ×

41. CTBN √ √ √ Sampel 1742. CTTH √ √ √ Sampel 18

43. DAVO √ × ×44. DEWA √ √ ×45. DLTA √ √ √ Sampel 1946. DOID √ × ×

47. DPNS √ √ ×48. DSFI √ √ ×

49. DSUC √ × ×50. DVLA √ √ √ Sampel 2051. DINA √ √ √ Sampel 2152. EKAD √ √ √ Sampel 2253. ELSA √ √ √ Sampel 23

54. ENRG √ × ×

55. ERDJ √ × ×56. ESTI √ √ ×

57. ETWA√

× ×58. FASW √ √ √ Sampel 2459. FPNI √ × ×

60. GDST √ × ×

61. GDYR √ √ √ Sampel 2562. GGRM √ × ×63. GJTL √ √ ×64. GTBB √ × ×65. GOZCO √ √ √ Sampel 26

66. HDTX √ × ×

67. HMSP √ √ √ Sampel 27

68. IGAR √ √ √ Sampel 2869. IIKP √ × ×70. IKAI √ × ×71. IKBI √ √ √ Sampel 29

72. IMAS √ × ×

73. INAF √ √ ×74. INAI √ √ ×75. INCI √ √ ×76. INCO √ √ ×77. INDF √ × ×


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1 2 3

78. INDR √ √ √ Sampel 30

79. INDS √ √ √ Sampel 3180. IKPP √ × ×

81. INRU √ × ×82. INTP √ √ √ Sampel 3283. ITMA √ × ×84. ITMG √ √ √ Sampel 33

85. JECC √ × ×86. JKSW √ √ ×87. JPFA √ × ×88. JPRS √ √ √ Sampel 3489. KAEF √ √ √ Sampel 3590. KARW √ √ ×

91. KBLM √ √ √ Sampel 36

92. KBRI √ √ ×93. KIA √ √ √ Sampel 3794. KKGI √ × ×

95. KBLF√

√

√

Sampel 3896. LION √ √ √ Sampel 39

97. LMSH √ √ √ Sampel 40

98. LPIN √ √ √ Sampel 4199. PPLS √ × ×

100. MAIN √ √ √ Sampel 42101. MASA √ √ √ Sampel 43102. MBAI √ × ×

103. MEDC √ √ √ Sampel 44104. MERK √ √ √ Sampel 45

105. MITI √ √ √ Sampel 46

106. MLBI √ √ √ Sampel 47107. MLIA √ √ ×108. MRAT √ √ √ Sampel 48

109. MYOR √ √ √ Sampel 49110. MYRX √ √ ×

111. MYTX √ × ×112. NIKL √ × ×113. NIPS √ √ √ Sampel 50114. PAFI √ √ ×

115. PBRX √ √ ×

116. PICO √ √ √ Sampel 51


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No. Nama Perusahaan Kriteria Keterangan1 2 3

117. PKPK √ × ×

118. PAPF √ × ×119. PRAS √ √ ×120. PSDN √ √ √ Sampel 52121. PTRO √ √ √ Sampel 53122. PTSN √ √ ×123. PYFA √ √ √ Sampel 54124. RDTX √ √ √ Sampel 55

125. RICY √ √ ×126. RMBA √ √ √ Sampel 56

127. RUIS √ √ √ Sampel 57

128. SAIP √ √ ×129. SCPI √ √ √ Sampel 58130. SGRO √ √ √ Sampel 59131. SIAP √ √ √ Sampel 60132. SIMA √ × ×133. SIMM √ × ×

134. SIPD √ √ √ Sampel 61135. SKBM √ × ×136. SKLT √ √ √ Sampel 62137. SLBC √ × ×138. SMAR √ √ √ Sampel 63139. SMCB √ √ √ Sampel 64

140. SMGR √ √ √ Sampel 65141. SMSM √ √ √ Sampel 66142. SOBI √ × ×143. SPMA √ √ ×144. PTPI √ × ×145. SQBI √ √ √ Sampel 67

146. SQMI √ √ ×147. SRSN √ √ √ Sampel 68148. PSTM √ × ×149. STTP √ √ √ Sampel 69150. SULI √ √ ×151. TALF √ × ×

152. TBLA √ × ×

153. TBMS √ × ×154. PTBA √ √ √ Sampel 70155. PTFI √ √ ×

156. TINS √ √ √ Sampel 71


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1 2 3

157. TIRT √ × ×

158. PKTK √ × ×159. TOTO √ √ √ Sampel 72160. TPJA √ √ ×161. TRST √ √ √ Sampel 73162. TSPC √ √ √ Sampel 74

163. ULTJ √ √ √ Sampel 75

164. UNIC √ × ×

165. UNIT √ √ ×166. UNSP √ √ √ Sampel 76167. UNTX √ √ ×

168. UNVR √ √ √ Sampel 77169. VOKS √ × ×170. YPAS √ √ √ Sampel 78

171. TFCO √ × ×Sumber: www.idx.co.id


9/23

Lampiran 5

Data Variabel Penelitian (Sebelum Ditransformasi)

No.

NamaPerusahaan

Laba Tahun 2008 Arus Kas OperasiTahun 2008

Arus Kas OperasiTahun 2009

1. AALI 2.631.019 2.087.429 1.984.894

2. AISA 28.686.156.655 43.896.609.663 50.814.639.259

3. ANTM 1.368.139.165 3.059.017.263 914.379.312

4. AQUA 82.337 155.443 344.341

5. ARNA 54.290.317.115 91.170.264.729 87.985.547.922

6. ASII 9.191 9.953 11.335

7. AUTO 566.025 517.079 595.7458. BATA 157.562.668 -36.673.025 80.886.504

9. BRAM 94.775.520 168.901.714 213.251.329

10. BRNA 19.410.295.985 15.869.582.295 27.083.258.750

11. BTON 20.823.061.634 21.114.989.041 10.821.274.744

12. BUDI 32.981 79.992 239.422

13. BUMI 371.690.961 959.194.485 246.038.514

14. CEKA 27.867.555.443 -41.024.283.850 104.682.614.940

15. CITA 157.163.063.509 66.739.767.095 146.054.332.970

16. CNKO 1.646.089 -3.562.032 7.512.024

17. CTBN 19.630.509 9.309.812 25.144.09918. CTTH 3.504.885.064 9.860.956.370 11.210.244.738

19. DLTA 83.754.358 162.006.513 169.345.237

20. DVLA 70.819.094 131.706.549 34.055.615

21. DINA 2.799.601 160.386.486.350 179.707.366.125

22. EKAD 4.606.369.363 -57.107.269.027 -5.568.259.218

23. ELSA 133.772 35.972 288.389

24. FASW 36.553.869.861 1.107.948.970.952 868.140.069.724

25. GDYR 812.053 -806.922 480.756.850

25. GOZCO 54.750.054.269 93.043.564.253 175.049.313.313

27. HMSP 3.895.280 4.745.113 4.305.596

28. IGAR 7.348.483.975 41.018.481.569 29.394.540.274

29. IKBI 97.686.561.431 68.316.550.264 112.732.401.688

30. INDR 7.408.161 59.421.368 85.991.326

31. INDS 31.827.215.353 -34.930.461.510 196.535.211.219

32. INTP 1.745.500.936.215 1.619.202.132.220 3.184.421.623.015

33. ITMG 234.925 235.780 400.700

34. JPRS 4 9.157.545.353 116.894.916.030 -9.626.220.956

35. KAEF 55.393.774.869 22.080.322.177 120.369.595.992

36. KBLM 3.987.761.239 -37.093.051.465 8.175.310.054

37. KIA 21.575.954.664 -10.941.228.997 -39.498.084.053

38. KBLF 706.822.146.190 807.700.535.344 136.358.344.0601


10/23


No.

NamaPerusahaan

Laba Tahun 2008 Arus Kas OperasiTahun 2008


39. LION 37.840.393.046 28.539.587.019 50.456.390.635

40. LMSH 9.237.180.878 4.351.799.510 4.064.913.956

41. LPIN 4.763.329.650 -26.309.108.075 1.227.655.269

42. MAIN 4.210.460 13.254.603 90.192.511

43. MASA 2.974 126.280 180.729

44. MEDC 280.204.095 384.845.931 76.596.277

45. MERK 98.620.070 103.733.500 81.263.477)

46. MITI 2.308.724 1.377.364.263 22.965.826.384

47. MLBI 222.307 415.213 526.98048. MRAT 22.290.067.707 30.430.824.332 2.437.835.047

49. MYOR 196.230.049.693 138.452.987.153 446.429.845.710

50. NIPS 1.550.888.421 12.888.527.265 843.083.666

51. PICO 12.986.339.190 -43.748.264.959 26.731.596.161

52. PSDN 9.448.209.908 82.838.800.928 -44.342.060.912

53. PTRO 1.775 4.490 38.26954. PYFA 2 .308.877.329 736.542.408 5.020.232.151

55. RDTX 5 7.109.982.058 129.264.456.011 134.725.296.741

56. RMBA 239.137.880.999 -55.097.907.586 444.666.961.782

57. RUIS 30.072.718.222 6.244.595.308 73.717.504.421

58. SCPI 6.620.765 -9.030.623 -5.716.468

59. SGRO 439.516.256 634.622.388 184.050.588

60. SIAP 3.693.875.519 -21.429.366.997 4.024.227.794

61. SIPD 27.253.530.872 -50.964.589.935 -7.075.621.909

62. SKLT 4.271.023.656 12.761.524.962 11.689.827.584

63. SMAR 1.046.389.267.147 -2.080.763.334.125 491.772.525.393

64. SMCB 282.220 1.178.381 1.542.865

65. SMGR 2.523.554.472 3.325.474.122 5.273.253.697

66. SMSM 91.471.918.506 130.695.243.469 268.070.416.818

67. SQBI 94.271.208 139.865.195 178.394.770

68. SRSN 6.796.587 24.054.515 26.580.92369. STTP 4.816.495.973 9.779.515.730 99.952.885.153

70. PTBA 1.707.771 1.609.577 2.736.314

71. TINS 1.342.358 -133.146 1.472.820

72. TOTO 63.286.993.788 184.899.784.317 227.527.798.490

73. TRST 58.025.393.373 129.361.073.810 315.372.607.771

74. TSPC 320.647.898.367 292.296.080.215 476.589.761.145

75. ULTJ 303.711.501.204 130.839.061.099 15.687.936.541

76. UNSP 17.356.9364 668.608.595 504.532.483

77. UNVR 2.407.231 2.785.785 3.280.710

78. YPAS 18.692.528.081 747.187.310 15.044.881.849


11/23

Lampiran 6

Data Variabel Penelitian (Setelah Ditransformasi)

No. NamaPerusahaan

Laba Tahun2008



1. AALI 14.78 14.55 14.50

2. AISA 24.08 24.51 24.65

3. ANTM 21.04 21.84 20.63

4. AQUA 11.32 11.95 12.75

5. ARNA 24.72 25.24 25.206. ASII 9.13 9.21 9.34

7. AUTO 13.25 13.16 13.30

8. BATA 18.88 18.21

9. BRAM 18.37 18.94 19.18

10. BRNA 23.69 23.49 24.02

11. BTON 23.76 23.77 23.10

12. BUDI 10.40 11.29 12.39

13. BUMI 19.73 20.68 19.32

14. CEKA 24.05 25.37

15. CITA 25.78 24.92 25.7116. CNKO 14.31 15.83

17. CTBN 16.79 16.05 17.04

18. CTTH 21.98 23.01 23.14

19. DLTA 18.24 18.90 18.95

20. DVLA 18.08 18.70 17.34

21. DINA 14.84 25.80 25.91

22. EKAD 22.25

23. ELSA 11.80 10.49 12.57

24. FASW 24.32 27.73 27.49

25. GDYR 13.61 19.99

25. GOZCO 10.91 25.26 25.8927. HMSP 15.18 15.37 15.28

28. IGAR 22.72 24.44 24.10

29. IKBI 25.31 24.95 25.45

30. INDR 15.82 17.90 18.27

31. INDS 24.18 26.0032. INTP 28.19 28.11 28.79

33. ITMG 12.37 12.37 12.90

34. JPRS 25.48

35. KAEF 24.74 23.82 25.51

36. KBLM 22.11 22.82


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No. NamaPerusahaan

Laba Tahun2008



37. KIA 23.79

38. KBLF 27.28 27.42 27.94

39. LION 24.36 24.07 24.64

40. LMSH 22.95 22.19 22.13

41. LPIN 22.28 20.93

42. MAIN 15.25 16.40 18.3243. MASA 8.00 11.75 12.10

44. MEDC 19.45 19.77 18.15

45. MERK 18.41 18.46

46. MITI 14.65 21.04 23.86

47. MLBI 12.31 12.94 13.17

48. MRAT 23.83 24.14 21.61

49. MYOR 26.00 25.65 26.82

50. NIPS 21.16 23.28 20.55

51. PICO 23.29 24.01

52. PSDN 22.97 25.14

53. PTRO 7.48 8.41 10.55

54. PYFA 20.42 8.52

55. RDTX 25.59 25.63

56. RMBA 26.20 26.82

57. RUIS 24.13 22.55

58. SCPI 15.71

59. SGRO 19.90 20.27 19.03

60. SIAP 22.03 22.12

61. SIPD 24.03

62. SKLT 22.18 23.27 23.18

63. SMAR 27.68 26.9264. SMCB 12.55 13.98 14.25

65. SMGR 21.65 21.92 22.39

66. SMSM 25.24 25.60 26.31

67. SQBI 18.36 18.76 19.00

68. SRSN 15.73 17.00

69. STTP 22.30 23.00 25.33

70. PTBA 14.35 14.29 14.82

71. TINS 14.11 14.20

72. TOTO 24.87 25.94 26.15

73. TRST 24.78 25.59 26.48


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No. NamaPerusahaan

Laba Tahun2008



74. TSPC 26.49 26.40 26.89

75. ULTJ 26.44 25.60 23.48

76. UNSP 18.97 20.32 20.04

77. UNVR 14.69 14.84 15.00

78. YPAS 23.65 20.43 23.43


14/23

Lampiran 7

Hasil Olah Data

STATISTIK DESKRIPTIF

Descriptive Statistics

N Minimum Maximum Mean Std. Deviation

LabaTahun2008 75 7.48 28.19 19.7362 5.33998

ArusKasOperasiTahun2008 62 8.41 28.11 20.4574 5.23418

ArusKasOperasiTahun2009 69 8.52 28.79 20.6631 5.28815

Valid N (listwise) 55


15/23

Lampiran 8

HASIL REGRESI KEMAMPUAN LABA TAHUN 2008 DALAMMEMPREDIKSI ARUS KAS OPERASI TAHUN 2009

Regression

Variables Entered/Removedb

Model Variables

Entered

Variables

Removed Method

dimens

ion0

1 LabaTahun2008

a

. Enter

a. All requested variables entered.

b. Dependent Variable: ArusKasOperasiTahun2009

Model Summaryb

Model

R R Square

Adjusted R

Square

Std. Error of the

Estimate

dimen

sion0

1 .869a .755 .751 2.55449

a. Predictors: (Constant), LabaTahun2008


ANOVAb

Model Sum of Squares df Mean Square F Sig.

1 Regression 1304.606 1 1304.606 199.927 .000a

Residual 424.152 65 6.525

Total 1728.758 66



Coefficientsa

Model

Unstandardized Coefficients

Standardized

Coefficients

t Sig.B Std. Error Beta

1 (Constant) 4.956 1.161 4.268 .000

LabaTahun2008 .807 .057 .869 14.140 .000

a. Dependent Variable: ArusKasOperasiTahun2009


16/23

Lampiran 9

HASIL REGRESI KEMAMPUAN ARUS KAS OPERASI TAHUN 2008DALAM MEMPREDIKSI ARUS KAS OPERASI TAHUN 2009

Regression

Variables Entered/Removedb

Model Variables

Entered

Variables

Removed Method

dimens

ion0

1 ArusKasOperasi

Tahun2008a

. Enter

a. All requested variables entered.


Model Summaryb

Model

R R Square

Adjusted R

Square

Std. Error of the

Estimate

dimen

sion0

1 .934a .872 .870 1.97362

a. Predictors: (Constant), ArusKasOperasiTahun2008


ANOVAb

Model Sum of Squares df Mean Square F Sig.

1 Regression 1465.858 1 1465.858 376.327 .000a

Residual 214.234 55 3.895

Total 1680.092 56

a. Predictors: (Constant), ArusKasOperasiTahun2008b. Dependent Variable: ArusKasOperasiTahun2009

Coefficientsa

Model Unstandardized

Coefficients

Standardized

Coefficients


1 (Constant) .938 1.036 .905 .369

ArusKasOperasiTahun2008 .956 .049 .934 19.399 .000



17/23

Lampiran 10

HASIL UJI NORMALITAS

ANALISIS STATISTIK

Kolmogorov-Smirnov Test Variabel Laba

One-Sample Kolmogorov-Smirnov Test

Unstandardized

Predicted Value

N 75

Normal Parametersa,b

Mean 20.8800936

Std. Deviation 4.30864906

Most Extreme Differences Absolute .156

Positive .088

Negative -.156

Kolmogorov-Smirnov Z 1.351

Asymp. Sig. (2-tailed) .052

a. Test distribution is Normal.

b. Calculated from data.

Kolmogorov-Smirnov Test Variabel Arus Kas Operasi

One-Sample Kolmogorov-Smirnov Test

Unstandardized

Predicted Value

N 62Normal Parameters

a,b Mean 20.5015519

Std. Deviation 5.00542154

Most Extreme Differences Absolute .138

Positive .083

Negative -.138

Kolmogorov-Smirnov Z 1.089

Asymp. Sig. (2-tailed) .187

a. Test distribution is Normal.

b. Calculated from data.


18/23


ANALISIS GRAFIK


19/23



20/23

Lampiran 11

HASIL UJI MULTIKOLINEARITAS

Hasil Uji Multikolinearitas Variabel Laba

Coefficientsa


Coefficients

Standardized

Coefficients

t Sig.

Collinearity Statistics

B Std. Error Beta Tolerance VIF

1 (Constant) 4.956 1.161 4.268 .000

LabaTahun2008 .807 .057 .869 14.140 .000 1.000 1.000


Hasil Uji Multikolinearitas Variabel Arus Kas Operasi

Coefficientsa


Coefficients

Standardized

Coefficients

t Sig.

Collinearity

Statistics

B Std. Error Beta Tolerance VIF

1 (Constant) .938 1.036 .905 .369

ArusKasOperasiTahun2008 .956 .049 .934 19.399 .000 1.000 1.000



21/23

Lampiran 12

HASIL UJI HETEROSKEDASTISITAS


22/23

Lampiran 13

HASIL UJI AUTOKORELASI

Hasil Uji Autokorelasi Variabel Laba

Model Summaryb

Model

R R Square

Adjusted R

Square

Std. Error of the

Estimate Durbin-Watson

dimension0

1 .869a .755 .751 2.55449 2.104



Hasil Uji Autokorelasi Variabel Arus Kas Operasi

Model Summaryb

Model

R R Square

Adjusted R

Square

Std. Error of the

Estimate Durbin-Watson

dimension0

1 .934a .872 .870 1.97362 2.298

a. Predictors: (Constant), ArusKasOperasiTahun2008



23/23

Lampiran 14

HASIL UJI HIPOTESIS

UJI t untuk variabel Laba

Coefficientsa

Model

Unstandardized Coefficients

Standardized

Coefficients


1 (Constant) 4.956 1.161 4.268 .000

LabaTahun2008 .807 .057 .869 14.140 .000


UJI t untuk variabel Arus Kas Operasi

Coefficientsa


Coefficients

Standardized

Coefficients


1 (Constant) .938 1.036 .905 .369

ArusKasOperasiTahun2008 .956 .049 .934 19.399 .000


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