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Institutional Repository | Satya Wacana Christian University: Pengaruh CAR, NPL, dan ROA terhadap Penyaluran Kredit pada Bank yang Terdaftar di Bursa Efek Indonesia Tahun 2008-2010

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31

DAFTAR NAMA - NAMA DAN KODE BANK

Sumber: Indonesian Capital Market Directory (ICMD)

No.

Kode

Nama Bank

1

AGRO

Bank Agroniaga Tbk

2

BABP

Bank ICB Bumiputera Tbk Tbk

3

BACA

Bank Capital Indonesia Tbk

4

BAEK

Bank Ekonomi Raharja Tbk

5

BBCA

Bank Central Asia Tbk

6

BBKP

Bank Bukopin Tbk

7

BBNI

Bank Negara Indonesia Tbk

8

BBNP

Bank Nusantara Parahyangan Tbk

9

BBRI

Bank Rakyat Indonesia (Persero) Tbk

10

BBTN

Bank Tabungan Negara (Persero) Tbk

11

BCIC

Bank Mutiara Tbk

12

BDMN

Bank Danamon Indonesia Tbk

13

BEKS

Bank Pundi Indonesia Tbk

14

BJBR

Bank Pembangunan Daerah Jawa Barat dan Banten Tbk

15

BKSW

Bank Kesawan Tbk

16

BMRI

Bank Mandiri (Persero) Tbk

17

BNBA

Bank Bumi Arta Tbk

18

BNGA

Bank CIMB Niaga Tbk Tbk

19

BNII

Bank Internasional Indonesia Tbk

20

BNLI

Bank Permata Tbk

21

BSIM

Bank Sinarmas Tbk

22

BSWD

Bank Swadesi Tbk

23

BTPN

Bank Tabungan Pensiunan Nasional Tbk

24

BVIC

Bank Victoria International Tbk

25

INPC

Bank Artha Graha Internasional Tbk

26

MAYA

Bank Mayapada Internasional Tbk

27

MCOR

Bank Windu Kentjana International Tbk Tbk

28

MEGA

Bank Mega Tbk

29

NISP

Bank OCBC NISP Tbk Tbk

30

PNBN

Bank Pan Indonesia Tbk

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LAMPIRAN 2

PERHITUNGAN DATA BANK

No. Bank Tahun CAR NPL ROA KREDIT

(dalam Trilliun)

1. AGRO 2008 0.1351 0.0359 0.0011 2.048062129000

2. AGRO 2009 0.1963 0.0447 0.0015 1.993629864000

3. AGRO 2010 0.1564 0.0184 0.003 2.069027280000

4. BABP 2008 0.1178 0.0425 0.0009 4.775341477000

5. BABP 2009 0.1119 0.0389 0.0016 5.326987955000

6. BABP 2010 0.1263 0.0324 0.002 6.129035939000

7. BAEK 2008 0.1403 0.0085 0.0209 9.890555000000

8. BAEK 2009 0.2175 0.009 0.0209 8.655878000000

9. BAEK 2010 0.1905 0.0012 0.0184 11.499432000000 10. BBCA 2008 0.1578 0.002 0.0155 110.026861000000 11. BBCA 2009 0.1533 0.0013 0.0317 123.901269000000 12. BBCA 2010 0.135 0.0024 0.0328 153.923157000000

13. BBKP 2008 0.112 0.0412 0.0169 23.042022000000

14. BBKP 2009 0.1436 0.0237 0.0139 24.603676000000

15. BBKP 2010 0.1206 0.0252 0.014 30.173015000000

16. BBNI 2008 0.1359 0.0174 0.0096 111.994397000000 17. BBNI 2009 0.1377 0.0084 0.0151 120.843140000000 18. BBNI 2010 0.0979 0.0111 0.0221 136.356959000000

19. BBNP 2008 0.1404 0.0112 0.011 2.178610073000

20. BBNP 2009 0.1256 0.0181 0.0106 2.562721814000

21. BBNP 2010 0.1294 0.0063 0.012 3.657670165000

22. BBTN 2008 0.1614 0.0266 0.0189 32.025231000000 23. BBTN 2009 0.2154 0.0285 0.0128 38.737202000000

24. BBTN 2010 0.1674 0.027 0.0183 48.702920000000

25. BDMN 2008 0.1337 0.0118 0.025 64.983122000000

26. BDMN 2009 0.2065 0 0.024 60.579275000000

27. BDMN 2010 0.1604 0 0.0339 75.773522000000

28. BJBR 2008 0.1497 0.0011 0.0314 15.835537000000 29. BJBR 2009 0.1066 0.0077 0.0304 18.924987000000 30. BJBR 2010 0.0853 0.0029 0.0281 22.066317000000

31. BNBA 2008 0.3115 0.0146 0.0203 0.949030682645

32. BNBA 2009 0.2842 0.0171 0.0171 0.974639336676

33. BNBA 2010 0.2501 0.0183 0.0137 1.170144112384

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33

42. BNLI 2010 0.1413 0.0074 0.0168 52.839987000000

43. BSIM 2008 0.127 0.0172 0.0032 4.281483000000

44. BSIM 2009 0.1395 0.0165 0.0088 5.413864000000

45. BSIM 2010 0.141 0.0111 0.0125 7.011796000000

46. BSWD 2008 0.3327 0.0164 0.0222 0.876618000000

47. BSWD 2009 0.329 0.0142 0.0329 0.981357559362

48. BSWD 2010 0.2687 0.0262 0.0306 1.071643466543

49. BTPN 2008 0.2367 0.0009 0.042 10.425551000000

50. BTPN 2009 0.185 0.0007 0.0279 15.722830000000

51. BTPN 2010 0.234 0.0048 0.0327 23.328089000000

52. BVIC 2008 0.2277 0.0044 0.0078 2.163515000000

53. BVIC 2009 0.1686 0 0.0085 2.849627400000

54. BVIC 2010 0.1119 0.0302 0.0128 3.539002139000

55. INPC 2008 0.1493 0.027 0.0031 9.821879290274

56. INPC 2009 0.1387 0.0283 0.0042 10.986322474167

57. INPC 2010 0.1452 0.02 0.0069 11.178851228648

58. MAYA 2008 0.2369 0.0207 0.0109 3.980788000000

59. MAYA 2009 0.1937 0.0049 0.0078 5.060228101000

60. MAYA 2010 0.2261 0.0096 0.0105 6.110987870000

61. MCOR 2008 0.1802 0.0021 0.0023 1.445501000000

62. MCOR 2009 0.1688 0.0104 0.0082 1.593590000000

63. MCOR 2010 0.1784 0.0111 0.0087 2.962103000000

64. MEGA 2008 0.1609 0.0088 0.0194 19.000214000000 65. MEGA 2009 0.1801 0.0102 0.0161 18.639422000000 66. MEGA 2010 0.1626 0.0074 0.0202 23.891435000000 67. NISP 2008 0.1701 0.0175 0.0133 20.809545000000

68. NISP 2009 0.18 0.0139 0.0165 21.886527000000

69. NISP 2010 0.1668 0.0082 0.0096 27.956914000000 70. PNBN 2008 0.2031 0.0215 0.0179 36.526583000000

71. PNBN 2009 0.2179 0.016 0.0181 41.121422000000

72. PNBN 2010 0.1658 0.0268 0.0174 57.246019000000

73. SDRA 2008 0.1275 0.0056 0.0278 1.498743000000

74. SDRA 2009 0.1396 0.007 0.0213 1.925244232365

(4)

LAMPIRAN 3

STATISTIK DESKRIPTIF

Descriptive Statistics

N Minimum Maximum Mean Std. Deviation

CAR 75 .0853 .4464 .176029 .0638779

NPL 75 .0000 .0533 .015956 .0117887

ROA 75 .0006 .0420 .014699 .0094823

KREDIT

75 .6774 103.6219 1.926041E1 22.9797259

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35

HASIL DATA LIMDEP

+---+ | Test Statistics for the Classical Model | | | |Model Log-Likelihood Sum of Squares R-squared | |(1)Constant term only -376.11359 .9963877701D+05 .0000000 | |(2)Group effects only -241.50806 .2751292516D+04 .9723873 | |(3)X - variables only -366.28454 .7666485325D+05 .2305721 | |(4)X and group effects -228.81999 .1961524611D+04 .9803136 | | | | Hypothesis Tests | | Likelihood Ratio Test F Tests | | Chi-squared d.f. Prob. F num. denom. Prob value | |(2) vs (1) 269.211 24 .00000 73.365 24 50 .00000 | |(3) vs (1) 19.658 3 .00020 7.092 3 71 .00031 | |(4) vs (1) 294.587 27 .00000 86.683 27 47 .00000 | |(4) vs (2) 25.376 3 .00001 6.308 3 47 .00110 | |(4) vs (3) 274.929 24 .00000 74.582 24 47 .00000 | +---+

+---+ | Random Effects Model: v(i,t) = e(i,t) + u(i) | | Estimates: Var[e] = .417346D+02 | | Var[u] = .103805D+04 | | Corr[v(i,t),v(i,s)] = .961349 | | Lagrange Multiplier Test vs. Model (3) = 3.28 | | ( 1 df, prob value = .350720) | | (High values of LM favor FEM/REM over CR model.) | | Fixed vs. Random Effects (Hausman) = 64.68 | | ( 3 df, prob value = .000000) | | (High (low) values of H favor FEM (REM).) | | Reestimated using GLS coefficients: | | Estimates: Var[e] = .419022D+02 | | Var[u] = .128956D+04 | | Sum of Squares .840917D+05 | +---+

(6)

+---+ | Least Squares with Group Dummy Variables | | Ordinary least squares regression Weighting variable = none | | Dep. var. = KREDIT Mean= 29.24308471 , S.D.= 36.69427693 | | Model size: Observations = 75, Parameters = 28, Deg.Fr.= 47 | | Residuals: Sum of squares= 1961.524611, Std.Dev.= 6.46023 | | Fit: R-squared= .980314, Adjusted R-squared = .96900 | | Model test: F[ 27, 47] = 86.68, Prob value = .00000 | | Diagnostic: Log-L = -228.8200,Restricted(b=0) Log-L = -376.1136| | LogAmemiyaPrCrt.= 4.049, Akaike Info. Crt.= 6.849 | | Estd. Autocorrelation of e(i,t) -.165775 | +---+ +---+---+---+---+---+---+ |Variable|Coefficient |Standard Error|t-ratio|P[|T|>t]| Mean of X| +---+---+---+---+---+---+ CAR -69.79934087 35.788022 -1.950 .0550 .16888800 NPL -106.3787063 153.97148 -.691 .4919 .14786667E-01 ROA 818.2943078 218.98069 3.737 .0004 .15969333E-01

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37

BOXPLOT UNTUK DATA EKSTRIM

1.

CAR

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(9)

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