• Tidak ada hasil yang ditemukan

Lampiran Kurs USD BI Rate IHSG Jan-07

N/A
N/A
Protected

Academic year: 2019

Membagikan "Lampiran Kurs USD BI Rate IHSG Jan-07"

Copied!
21
0
0

Teks penuh

(1)

42

Lampiran

Kurs USD

BI Rate

IHSG

Jan-07

9111,82

9,50%

1776,52

Feb-07

9112,85

9,25%

1772,35

Mar-07

9209,95

9,00%

1780,51

Apr-07

9142,90

9,00%

1948,46

Mei-07

8888,48

8,75%

2050,01

Jun-07

9028,55

8,50%

2119,17

Jul-07

9112,36

8,25%

2294,85

Agust-07

9413,55

8,25%

2152,85

Sep-07

9356,50

8,25%

2269,15

Okt-07

9152,71

8,25%

2556,94

Nop-07

9310,68

8,25%

2662,15

Des-07

9380,27

8,00%

2742,77

Jan-08

9453,3

8,00%

2640,93

Feb-08

9226,95

8,00%

2690,43

Mar-08

9230,83

8,00%

2475,91

Apr-08

9254,64

8,00%

2291,59

Mei-08

9337,3

8,25%

2425,98

Jun-08

9342,29

8,50%

2378,53

(2)

43

Agust-08

9195,1

9,00%

2134,43

Sep-08

9387,4

9,25%

1914,3

Okt-08

10098,65

9,50%

1376,22

Nop-08

11769,85

9,50%

1255,18

Des-08

11381,53

9,25%

1298,13

Jan-09

11223,11

8,75%

1367,83

Feb-09

11912,15

8,25%

1318,64

Mar-09

11908,8

7,75%

1343,93

Apr-09

11080,25

7,50%

1576,41

Mei-09

10449,11

7,25%

1837,88

Jun-09

10257,59

7,00%

2029,8

Jul-09

10161,86

6,75%

2133,45

Agust-09

10027,5

6,50%

2356,66

Sep-09

9950,39

6,50%

2394,59

Okt-09

9530

6,50%

2466,88

Nop-09

9517,2

6,50%

2424,32

Des-09

9504,85

6,50%

2492,65

Jan-10

9321,95

6,50%

2619,9

Feb-10

9395,11

6,50%

2548,58

Mar-10

9219,68

6,50%

2692,11

Apr-10

9072,33

6,50%

2895,43

(3)

44

Jun-10

9194

6,50%

2851,94

Jul-10

9094,45

6,50%

2977,06

Agust-10

9016,76

6,50%

3073,18

Sep-10

9020,84

6,50%

3335,58

Okt-10

8972,9

6,50%

3594,71

Nop-10

8983,29

6,50%

3670,61

Des-10

9067,62

6,50%

3667,8

Jan-11

9082,38

6,50%

3543,19

Feb-11

8957,11

6,75%

3449,74

Mar-11

8805,48

6,75%

3558,11

Apr-11

8694,3

6,75%

3749,2

Mei-11

8598,8

6,75%

3818,32

Jun-11

8607

6,75%

3805,4

Jul-11

8576,19

6,75%

4025,94

Agust-11

8574,79

6,75%

3936,35

Sep-11

8809,45

6,75%

3716,53

Okt-11

8939,67

6,50%

3600,4

Nop-11

9060,23

6,00%

3747,03

Des-11

8742,52

6,00%

3776,43

Jan-12

9154,76

6,00%

3930,84

Feb-12

9070,81

5,75%

3960,07

(4)

45

Apr-12

9221,5

5,75%

4162,22

Mei-12

9336,57

5,75%

4050,98

Jun-12

9498,14

5,75%

3850,55

Jul-12

9503,59

5,75%

4044,56

Agust-12

9547,16

5,75%

4114,76

Sep-12

9614,25

5,75%

4187,22

Okt-12

9645,14

5,75%

4309,68

Nop-12

9675,95

5,75%

4327,29

Des-12

9685,6

5,75%

4294,51

Jan-13

9735,57

5,75%

4403,12

Feb-13

9735,05

5,75%

4588,5

Mar-13

9758,11

5,75%

4823,16

Apr-13

9772,95

5,75%

4959,15

Mei-13

9809,91

5,75%

5100,44

Jun-13

9931

6,00%

4726,88

Jul-13

10123,7

6,50%

4631,38

Agust-13

10625,28

7,00%

4348,86

Sep-13

11402,95

7,25%

4353,64

Okt-13

11423,86

7,25%

4496,32

Nop-13

11652

7,50%

4359,72

(5)

46

Tabel pengujian Asumsi Klasik dan uji Hipotesis dengan program SPSS

Variables Entered/Removed

Model Variables Entered

Variables

Removed Method

1 BIRate, LNUSDa . Enter

a. All requested variables entered.

Model Summaryb

Model R R Square

Adjusted R

Square

Std. Error of the

Estimate Durbin-Watson

1 .795a .632 .623 .22820 .064

a. Predictors: (Constant), BIRate, LNUSD

b. Dependent Variable: LNIHSG

ANOVAb

Model Sum of Squares df Mean Square F Sig.

1 Regression 7.232 2 3.616 69.441 .000a

Residual 4.218 81 .052

Total 11.450 83

a. Predictors: (Constant), BIRate, LNUSD

b. Dependent Variable: LNIHSG

Coefficientsa

Model

Unstandardized Coefficients

Standardized

Coefficients

t Sig.

Collinearity Statistics

B Std. Error Beta Tolerance VIF

1 (Constant) 14.527 2.786 5.214 .000

LNUSD -.524 .307 -.118 -1.708 .091 .960 1.042

BIRate -24.539 2.214 -.763 -11.084 .000 .960 1.042

(6)

47

Coefficient Correlationsa

Model BIRate LNUSD

1 Correlations BIRate 1.000 -.200

LNUSD -.200 1.000

Covariances BIRate 4.901 -.136

LNUSD -.136 .094

a. Dependent Variable: LNIHSG

Collinearity Diagnosticsa

Model

Dimensi

on Eigenvalue Condition Index

Variance Proportions

(Constant) LNUSD BIRate

1 1 2.983 1.000 .00 .00 .00

2 .017 13.300 .00 .00 .97

3 3.958E-5 274.541 1.00 1.00 .03

a. Dependent Variable: LNIHSG

Residuals Statisticsa

Minimum Maximum Mean Std. Deviation N

Predicted Value 7.2813 8.3381 7.9768 .29518 84

Residual -.50192 .60267 .00000 .22543 84

Std. Predicted Value -2.356 1.224 .000 1.000 84

Std. Residual -2.200 2.641 .000 .988 84

(7)

48

NPar Tests

One-Sample Kolmogorov-Smirnov Test

Unstandardized

Residual

N 84

Normal Parametersa,,b Mean .0000000

Std. Deviation .22543045

Most Extreme Differences Absolute .122

Positive .112

Negative -.122

Kolmogorov-Smirnov Z 1.117

Asymp. Sig. (2-tailed) .165

a. Test distribution is Normal.

b. Calculated from data.

Descriptive Statistics

N Minimum Maximum Mean Std. Deviation

Unstandardized Residual 84 -.50192 .60267 .0000000 .22543045

Valid N (listwise) 84

Variables Entered/Removed

Model Variables Entered

Variables

Removed Method

1 BIRate, LNUSDa . Enter

a. All requested variables entered.

Model Summaryb

Model R R Square

Adjusted R

Square

Std. Error of the

Estimate

1 .760a .577 .567 .44515

a. Predictors: (Constant), BIRate, LNUSD

(8)

49

ANOVAb

Model Sum of Squares df Mean Square F Sig.

1 Regression 21.906 2 10.953 55.275 .000a

Residual 16.051 81 .198

Total 37.957 83

a. Predictors: (Constant), BIRate, LNUSD

b. Dependent Variable: ABSZRES

Coefficientsa

Model

Unstandardized Coefficients

Standardized

Coefficients

t Sig. B Std. Error Beta

1 (Constant) -56.384 5.435 -10.375 .000

LNUSD 6.292 .599 .775 10.510 .000

BIRate -7.842 4.319 -.134 -1.816 .073

a. Dependent Variable: ABSZRES

Coefficient Correlationsa

Model BIRate LNUSD

1 Correlations BIRate 1.000 -.200

LNUSD -.200 1.000

Covariances BIRate 18.651 -.516

LNUSD -.516 .358

a. Dependent Variable: ABSZRES

Residuals Statisticsa

Minimum Maximum Mean Std. Deviation N

Predicted Value .0676 2.2005 .7323 .51374 84

Residual -1.19521 .74524 .00000 .43975 84

Std. Predicted Value -1.294 2.858 .000 1.000 84

(9)

50

Residuals Statisticsa

Minimum Maximum Mean Std. Deviation N

Predicted Value .0676 2.2005 .7323 .51374 84

Residual -1.19521 .74524 .00000 .43975 84

Std. Predicted Value -1.294 2.858 .000 1.000 84

Std. Residual -2.685 1.674 .000 .988 84

a. Dependent Variable: ABSZRES

Descriptive Statistics

N Minimum Maximum Mean Std. Deviation

Unstandardized Residual 84 -1.19521 .74524 .0000000 .43975232

Valid N (listwise) 84

Variables Entered/Removed

Model Variables Entered

Variables

Removed Method

1 BIRate, LNUSDa . Enter

a. All requested variables entered.

Model Summaryb

Model R R Square

Adjusted R

Square

Std. Error of the

Estimate

1 .441a .195 .175 .47979

a. Predictors: (Constant), BIRate, LNUSD

b. Dependent Variable: ABSZRES2

ANOVAb

Model Sum of Squares df Mean Square F Sig.

1 Regression 4.511 2 2.256 9.799 .000a

Residual 18.646 81 .230

Total 23.157 83

a. Predictors: (Constant), BIRate, LNUSD

(10)

51

Coefficientsa

Model

Unstandardized Coefficients

Standardized

Coefficients

t Sig. B Std. Error Beta

1 (Constant) -20.413 5.858 -3.485 .001

LNUSD 2.429 .645 .383 3.764 .000

BIRate -14.127 4.655 -.309 -3.035 .003

a. Dependent Variable: ABSZRES2

Coefficient Correlationsa

Model BIRate LNUSD

1 Correlations BIRate 1.000 -.200

LNUSD -.200 1.000

Covariances BIRate 21.666 -.600

LNUSD -.600 .416

a. Dependent Variable: ABSZRES2

Residuals Statisticsa

Minimum Maximum Mean Std. Deviation N

Predicted Value .3861 1.3671 .8440 .23314 84

Residual -1.03701 1.71009 .00000 .47397 84

Std. Predicted Value -1.964 2.244 .000 1.000 84

Std. Residual -2.161 3.564 .000 .988 84

a. Dependent Variable: ABSZRES2

Variables Entered/Removed

Model Variables Entered

Variables

Removed Method

(11)

52

Variables Entered/Removed

Model Variables Entered

Variables

Removed Method

1 BIRate, LNUSDa . Enter

a. All requested variables entered.

Model Summaryb

Model R R Square

Adjusted R

Square

Std. Error of the

Estimate

1 .441a .195 .175 .47979

a. Predictors: (Constant), BIRate, LNUSD

b. Dependent Variable: ABSZRES2

ANOVAb

Model Sum of Squares df Mean Square F Sig.

1 Regression 4.511 2 2.256 9.799 .000a

Residual 18.646 81 .230

Total 23.157 83

a. Predictors: (Constant), BIRate, LNUSD

b. Dependent Variable: ABSZRES2

Coefficientsa

Model

Unstandardized Coefficients

Standardized

Coefficients

t Sig. B Std. Error Beta

1 (Constant) -20.413 5.858 -3.485 .001

LNUSD 2.429 .645 .383 3.764 .000

BIRate -14.127 4.655 -.309 -3.035 .003

(12)

53

Coefficient Correlationsa

Model BIRate LNUSD

1 Correlations BIRate 1.000 -.200

LNUSD -.200 1.000

Covariances BIRate 21.666 -.600

LNUSD -.600 .416

a. Dependent Variable: ABSZRES2

Residuals Statisticsa

Minimum Maximum Mean Std. Deviation N

Predicted Value .3861 1.3671 .8440 .23314 84

Residual -1.03701 1.71009 .00000 .47397 84

Std. Predicted Value -1.964 2.244 .000 1.000 84

Std. Residual -2.161 3.564 .000 .988 84

a. Dependent Variable: ABSZRES2

Variables Entered/Removed

Model Variables Entered

Variables

Removed Method

1 BIRate, LNUSDa . Enter

a. All requested variables entered.

Model Summaryb

Model R R Square

Adjusted R

Square

Std. Error of the

Estimate

1 .314a .098 .076 .53915

a. Predictors: (Constant), BIRate, LNUSD

(13)

54

ANOVAb

Model Sum of Squares df Mean Square F Sig.

1 Regression 2.536 2 1.268 4.362 .016a

Residual 23.254 80 .291

Total 25.790 82

a. Predictors: (Constant), BIRate, LNUSD

b. Dependent Variable: ABSZRES3

Coefficientsa

Model

Unstandardized Coefficients

Standardized

Coefficients

t Sig. B Std. Error Beta

1 (Constant) -6.472 6.798 -.952 .344

LNUSD .903 .747 .130 1.209 .230

BIRate -15.130 5.322 -.305 -2.843 .006

a. Dependent Variable: ABSZRES3

Coefficient Correlationsa

Model BIRate LNUSD

1 Correlations BIRate 1.000 -.146

LNUSD -.146 1.000

Covariances BIRate 28.326 -.582

LNUSD -.582 .558

a. Dependent Variable: ABSZRES3

Residuals Statisticsa

Minimum Maximum Mean Std. Deviation N

Predicted Value .3210 .9550 .7297 .17586 83

Residual -.75783 1.45509 .00000 .53253 83

Std. Predicted Value -2.324 1.281 .000 1.000 83

Std. Residual -1.406 2.699 .000 .988 83

(14)

55

NPar Tests

One-Sample Kolmogorov-Smirnov Test

Unstandardized

Residual

N 83

Normal Parametersa,,b Mean .0000000

Std. Deviation .53253281

Most Extreme Differences Absolute .085

Positive .085

Negative -.077

Kolmogorov-Smirnov Z .779

Asymp. Sig. (2-tailed) .579

a. Test distribution is Normal.

b. Calculated from data.

Descriptives

Descriptive Statistics

N Minimum Maximum Mean Std. Deviation

Unstandardized Residual 83 -.75783 1.45509 .0000000 .53253281

Valid N (listwise) 83

Regression

Variables Entered/Removed

Model Variables Entered

Variables

Removed Method

1 BIRate, LNUSDa . Enter

(15)

56

Model Summaryb

Model R R Square

Adjusted R

Square

Std. Error of the

Estimate

1 .267a .071 .048 .57798

a. Predictors: (Constant), BIRate, LNUSD

b. Dependent Variable: ABSZRES4

ANOVAb

Model Sum of Squares df Mean Square F Sig.

1 Regression 2.044 2 1.022 3.059 .052a

Residual 26.725 80 .334

Total 28.769 82

a. Predictors: (Constant), BIRate, LNUSD

b. Dependent Variable: ABSZRES4

Coefficientsa

Model

Unstandardized Coefficients

Standardized

Coefficients

t Sig. B Std. Error Beta

1 (Constant) -12.878 7.288 -1.767 .081

LNUSD 1.571 .801 .214 1.962 .053

BIRate -10.135 5.706 -.194 -1.776 .079

a. Dependent Variable: ABSZRES4

Coefficient Correlationsa

Model BIRate LNUSD

1 Correlations BIRate 1.000 -.146

LNUSD -.146 1.000

Covariances BIRate 32.554 -.669

LNUSD -.669 .641

(16)

57

Residuals Statisticsa

Minimum Maximum Mean Std. Deviation N

Predicted Value .4818 1.1363 .8008 .15786 83

Residual -1.05542 2.06697 .00000 .57089 83

Std. Predicted Value -2.021 2.125 .000 1.000 83

Std. Residual -1.826 3.576 .000 .988 83

a. Dependent Variable: ABSZRES4

NPar Tests

One-Sample Kolmogorov-Smirnov Test

Unstandardized

Residual

N 83

Normal Parametersa,,b Mean .0000000

Std. Deviation .57089160

Most Extreme Differences Absolute .094

Positive .094

Negative -.057

Kolmogorov-Smirnov Z .859

Asymp. Sig. (2-tailed) .451

a. Test distribution is Normal.

b. Calculated from data.

Regression

Variables Entered/Removed

Model Variables Entered

Variables

Removed Method

1 BIRate, LNUSDa . Enter

(17)

58

Model Summaryb

Model R R Square

Adjusted R

Square

Std. Error of the

Estimate Durbin-Watson

1 .267a .071 .048 .57798 1.456

a. Predictors: (Constant), BIRate, LNUSD

b. Dependent Variable: ABSZRES4

ANOVAb

Model Sum of Squares df Mean Square F Sig.

1 Regression 2.044 2 1.022 3.059 .052a

Residual 26.725 80 .334

Total 28.769 82

a. Predictors: (Constant), BIRate, LNUSD

b. Dependent Variable: ABSZRES4

Coefficientsa

Model

Unstandardized Coefficients

Standardized

Coefficients

t Sig.

Collinearity Statistics

B Std. Error Beta Tolerance VIF

1 (Constant) -12.878 7.288 -1.767 .081

LNUSD 1.571 .801 .214 1.962 .053 .979 1.022

BIRate -10.135 5.706 -.194 -1.776 .079 .979 1.022

a. Dependent Variable: ABSZRES4

Coefficient Correlationsa

Model BIRate LNUSD

1 Correlations BIRate 1.000 -.146

LNUSD -.146 1.000

Covariances BIRate 32.554 -.669

LNUSD -.669 .641

(18)

59

Collinearity Diagnosticsa

Model

Dimensi

on Eigenvalue Condition Index

Variance Proportions

(Constant) LNUSD BIRate

1 1 2.984 1.000 .00 .00 .00

2 .016 13.501 .00 .00 .98

3 3.767E-5 281.444 1.00 1.00 .01

a. Dependent Variable: ABSZRES4

Residuals Statisticsa

Minimum Maximum Mean Std. Deviation N

Predicted Value .4818 1.1363 .8008 .15786 83

Residual -1.05542 2.06697 .00000 .57089 83

Std. Predicted Value -2.021 2.125 .000 1.000 83

Std. Residual -1.826 3.576 .000 .988 83

a. Dependent Variable: ABSZRES4

Regression

Variables Entered/Removed

Model Variables Entered

Variables

Removed Method

1 BIRate, LNUSDa . Enter

a. All requested variables entered.

Model Summary

Model R R Square

Adjusted R

Square

Std. Error of the

Estimate

1 .795a .632 .623 .22820

(19)

60

ANOVAb

Model Sum of Squares df Mean Square F Sig.

1 Regression 7.232 2 3.616 69.441 .000a

Residual 4.218 81 .052

Total 11.450 83

a. Predictors: (Constant), BIRate, LNUSD

b. Dependent Variable: LNIHSG

Coefficientsa

Model

Unstandardized Coefficients

Standardized

Coefficients

t Sig. B Std. Error Beta

1 (Constant) 14.527 2.786 5.214 .000

LNUSD -.524 .307 -.118 -1.708 .091

BIRate -24.539 2.214 -.763 -11.084 .000

a. Dependent Variable: LNIHSG

Coefficient Correlationsa

Model BIRate LNUSD

1 Correlations BIRate 1.000 -.200

LNUSD -.200 1.000

Covariances BIRate 4.901 -.136

LNUSD -.136 .094

a. Dependent Variable: LNIHSG

Regression

Variables Entered/Removed

Model Variables Entered

Variables

Removed Method

1 BIRate, LNUSDa . Enter

(20)

61

Model Summaryb

Model R R Square

Adjusted R

Square

Std. Error of the

Estimate Durbin-Watson

1 .781a .609 .599 .22896 .065

a. Predictors: (Constant), BIRate, LNUSD

b. Dependent Variable: LNIHSG

ANOVAb

Model Sum of Squares df Mean Square F Sig.

1 Regression 6.539 2 3.269 62.370 .000a

Residual 4.194 80 .052

Total 10.733 82

a. Predictors: (Constant), BIRate, LNUSD

b. Dependent Variable: LNIHSG

Coefficientsa

Model

Unstandardized Coefficients

Standardized

Coefficients

t Sig.

Collinearity Statistics

B Std. Error Beta Tolerance VIF

1 (Constant) 14.035 2.887 4.861 .000

LNUSD -.473 .317 -.105 -1.490 .140 .979 1.022

BIRate -24.255 2.260 -.758 -10.731 .000 .979 1.022

a. Dependent Variable: LNIHSG

Coefficient Correlationsa

Model BIRate LNUSD

1 Correlations BIRate 1.000 -.146

LNUSD -.146 1.000

Covariances BIRate 5.108 -.105

LNUSD -.105 .101

(21)

62

Collinearity Diagnosticsa

Model

Dimensi

on Eigenvalue Condition Index

Variance Proportions

(Constant) LNUSD BIRate

1 1 2.984 1.000 .00 .00 .00

2 .016 13.501 .00 .00 .98

3 3.767E-5 281.444 1.00 1.00 .01

a. Dependent Variable: LNIHSG

Residuals Statisticsa

Minimum Maximum Mean Std. Deviation N

Predicted Value 7.3731 8.3334 7.9870 .28239 83

Residual -.51700 .58943 .00000 .22615 83

Std. Predicted Value -2.174 1.227 .000 1.000 83

Std. Residual -2.258 2.574 .000 .988 83

a. Dependent Variable: LNIHSG

Descriptives

Descriptive Statistics

N Minimum Maximum Mean Std. Deviation

LNUSD 83 9.06 9.40 9.1641 .08060

BIRate 83 .0575 .0950 .070783 .0113086

Valid N (listwise) 83

Descriptives

Descriptive Statistics

N Minimum Maximum Mean Std. Deviation

IHSG 84 1255 5100 3103.18 1044.915

Kurs USD 84 8574 12147 9606.05 846.975

BI Rate 84 .0575 .0950 .071071 .0115467

Gambar

Tabel pengujian Asumsi Klasik dan uji Hipotesis dengan program SPSS

Referensi

Dokumen terkait

Hasil penelitian ini menunjukkan bahwa semua subjek menunjukkan adanya penerimaan terhadap kondisi anak dengan komposisi yang berbeda-beda.. Sebagian subjek

Model yang tepat untuk outflow uang kartal di Kantor Perwakilan BI Provinsi Jawa Barat menggunakan Hybrid ARIMAX-NN dengan nilai RMSE out-sample sebesar 1,238 sedangkan

Salah satu benda bergerak yang dapat dijadikan harta benda wakaf yaitu hak atas kekayaan intelektual sesuai dengan yang tercantum dalam Pasal 16 ayat (3) huruf

Oseng Tempe Tempe Sambal Sambal Goreng Goreng Kentang Kentang Mie Mie Goreng Goreng Spesial Spesial Tahu Tahu Panggang Panggang Pedas Pedas Perkedel. Perkedel Tahu Tahu

Tujuan penelitian ini yaitu untuk mengetahui apakah konsumen merasa puas terhadap kualitas layanan jasa ticketing yang telah diberikan oleh Andika Tours and Travel. Jumlah sampel

Sehubungan hal itu, maka penelitian ini dilakukan dalam beberapa tahap yaitu tahap persiapan bahan baku, tahap proses pirolisis untuk penentuan kadar kadar asap cair

Namun rotasi kerja tersebut, memunculkan banyak keluhan karyawan yang berhubungan dengan kondisi kerja baru, antara lain menyesuaikan diri dengan orang baru dan

difficulty) akan menyebabkan individu untuk mengerahkan usaha lebih dari orang-orang dengan tujuan yang terbaik. Subyek dengan tujuan spesifik (goal