• Tidak ada hasil yang ditemukan

NoPERUSAHAAN ANALISIS PENGARUH KOMPONEN ARUS KAS TERHADAP HARGA SAHAM PADA PERUSAHAAN MANUFAKTUR YANG TERDAFTAR DI BURSA EFEK JAKARTA.

N/A
N/A
Protected

Academic year: 2017

Membagikan "NoPERUSAHAAN ANALISIS PENGARUH KOMPONEN ARUS KAS TERHADAP HARGA SAHAM PADA PERUSAHAAN MANUFAKTUR YANG TERDAFTAR DI BURSA EFEK JAKARTA."

Copied!
11
0
0

Teks penuh

(1)

LAMPIRAN I

No

PERUSAHAAN

KODE

1

PT Davomas Abadi Tbk

DAVO

2

PT Indofood Sukses Makmur Tbk

INDF

3

PT Mayora Indah Tbk

MYOR

4

PT Siantar Top Tbk

STTP

5

PT Tunas Baru Lampung Tbk

TBLA

6

PT Ultra Jaya Milk Tbk

ULTJ

7

PT Gudang Garam Tbk

GGRM

8

PT HM Sampoerna Tbk

HMSP

9

PT Indoroma Synthetic Tbk

INDR

10

PT Tirta Mahakam Resources Tbk

TIRT

11

PT Budi Acid Jaya Tbk

BUDI

12

PT Colorpak Indonesia Tbk

CLPI

13

PT Lautan Luas Tbk

LTLS

14

PT Intan Wijaya Internasional Tbk

INCI

15

PT Dynaplast Tbk

DYNA

16

PT Kageo Igar Jaya Tbk

IGAR

17

PT Trias Sentosa Tbk

TRST

18

PT Indocement Tunggal Perkasa Tbk

INTP

19

PT Semen Gresik Tbk

SMGR

20

PT Komatsu Indonesia Tbk

KOMI

21

PT Astra Graphia Tbk

ASGR

22

PT Multipolar Corporation Tbk

MLPL

23

PT Astra International Tbk

ASII

24

PT Astra Otopart Tbk

AUTO

25

PT Gajah Tunggal Tbk

GJTL

26

PT GT Petrochem Industries Tbk

ADMG

27

PT Hexindo Adiperkasa Tbk

HEXA

28

PT Tunas Ridean Tbk

TURI

29

PT United Tractors Tbk

UNTR

30

PT Dankos Laboratoria Tbk

DNKS

31

PT Darya Varia Laboratoria Tbk

DVLA

32

PT Kalbe Farma Tbk

KLBF

33

PT Kimia farma Tbk

KAEF

34

PT Tempo Scan Pacifik Tbk

TSPC

35

PT Mustika Ratu Tbk

MRAT

(2)

LAMPIRAN II

NO KODE

ARUS KAS AKTIVITAS OPERASI ( X 1 ) ( Dalam Rupiah )

2002 2003 2004

1 DAVO 157.134.962.473 132.804.202.714 242.454.394.327 2 INDF 251.784.155.137 1.557.249.832.251 1.838.794.010.297 3 MYOR 116.021.872.851 128.373.691.254 103.732.421.550

4 STTP 22.016.186.840 27.191.367.916 7.222.652.279

5 TBLA -3.367.699 -36.348.378 147.077.068

6 ULTJ 31.660.614.497 4.035.042.358 35.588.548.288

7 GGRM 2.215.856.000.000 2.112.529.000.000 834.682.000.000 8 HMSP 1.826.574.000.000 2.024.678.000.000 2.871.554.000.000 9 INDR 133.383.105.000 555.648.003.000 227.282.175.000

10 TIRT 11.095.863.662 6.709.896.412 29.822.645.216

11 BUDI 54.590.000.000 108.067.000.000 110.399.000.000

12 CLPI 6.765.055.284 3.404.755.684 18.084.611.306

13 LTLS 4.682.551.735 -27.764.000.000 95.121.000.000

14 INCI 13.351.267.691 8.495.607.825 17.072.058.095

15 DYNA 116.258.883.615 84.992.232.940 129.867.355.244

16 IGAR 44.586.866.377 43.620.542.208 -7.275.679.774

17 TRST 215.990.928.383 135.976.435.040 18.064.483.831 18 INTP 1.257.466.000.030 1.387.419.853.536 1.303.966.340.595 19 SMGR 834.514.826.000 1.107.348.343.000 850.727.709.000

20 KOMI 37.753.517.021 77.527.000.000 28.165.771.000

21 ASGR 157.645.667.835 190.417.776.410 32.339.527.488 22 MLPL 39.734.812.762 131.989.000.000 374.412.000.000 23 ASII 4.201.839.000.000 2.426.624.000.000 3.179.423.000.000

24 AUTO 71.050.000.000 90.830.000.000 122.953.000.000

25 GJTL 559.239.000.000 563.534.000.000 591.038.000.000 26 ADMG 179.656.892.000 243.419.114.000 661.592.938.000 27 HEXA -1.695.648.387 119.053.497.488 138.045.414.900 28 TURI 128.445.000.000 -159.235.000.000 -208.581.000.000 29 UNTR 775.617.000.000 1.022.713.000.000 2.063.081.000.000 30 DNKS 131.551.592.268 164.215.747.320 274.660.405.767

31 DVLA 61.498.763.000 67.927.018.000 55.668.000.000

32 KLBF 399.127.691.739 507.168.022.365 425.072.527.199 33 KAEF 71.063.463.507 314.627.296.203 -75.045.127.891 34 TSPC 341.918.200.597 320.765.508.708 424.897.582.676

35 MRAT 9.490.131.374 15.213.578.028 21.945.974.829

(3)

LAMPIRAN III

NO KODE

ARUS KAS AKTIVITAS INVESTASI ( X 2 ) ( Dalam Rupiah )

2002 2003 2004

1 DAVO 163.613.843.979 -97.000.973.368

2 INDF 817.730.998.679 -733.760.345.609 1.351.288.853.941 3 MYOR 26.891.425.661 -31.305.865.624 -54.544.184.017 4 STTP -23.966.962.988 -23.623.297.270 -15.080.208.317

5 TBLA -65.229.806 -48.032.141 -206.182.258

6 ULTJ -84.783.458.852 -32.914.492.938 -71.076.430.881 7 GGRM -1.364.099.000.000 -2.151.435.000.000 1.903.487.000.000 8 HMSP -240.669.000.000 -517.978.000.000 -368.519.000.000 9 INDR 346.876.326.000 -75.332.601.000 -88.726.374.000 10 TIRT -68.349.620.484 -97.863.255.344 -105.651.209.680 11 BUDI -41.196.000.000 -53.903.000.000 -53.246.000.000

12 CLPI 1.262.936.816 -14.025.530.581 5.229.235.686

13 LTLS -107.678.813.778 -223.666.000.000 -67.731.000.000 14 INCI -10.160.559.314 -11.931.481.423 -1.224.480.567 15 DYNA -74.706.832.966 -139.577.629.010 -185.834.626.063 16 IGAR -12.756.798.130 -6.265.090.932 -12.907.237.451 17 TRST -40.738.721.706 -204.648.821.821.033 -216.329.120.110 18 INTP -193.025.335.779 176.907.070.147 -68.925.889.819 19 SMGR 156.351.504.000 -113.638.153.000 -150.136.486.000 20 KOMI -9.662.735.438 -16.833.406.000 -186.155.861.000

21 ASGR 20.276.082.718 -25.315.101.793 42.289.148.318

22 MLPL -219.619.591.000 9.360.000.000 423.972.000.000 23 ASII -140.782.000.000 1.321.672.000.000 -1.837.590.000.000 24 AUTO 10.063.000.000 -110.937.000.000 -237.451.000.000 25 GJTL -602.168.000.000 -6.827.000.000 -17.547.000.000 26 ADMG -279.846.083.000 -5.703.450.000 -71.123.786.000

27 HEXA -7.387.311.314 -6.893.049.286 -17.878.339.357

28 TURI -59.051.000.000 -75.691.000.000 -150.813.000.000 29 UNTR -499.478.000.000 -311.229.000.000 -647.687.000.000 30 DNKS -68.783.494.840 -184.971.146.356 89.439.253.729 31 DVLA 43.368.660.000 -12.904.224.000 -20.260.931.000 32 KLBF -99.349.257.968 -397.248.982.317 -277.707.749.018 33 KAEF -66.538.822.091 -49.039.928.606 -41.609.289.716 34 TSPC -97.037.584.360 -115.280.760.057 -152.929.920.379

35 MRAT -10.514.654.105 -2.729.975.616 -5.784.535.249

(4)

LAMPIRAN IV

NO KODE

ARUS KAS AKTIVITAS PENDANAAN ( X 3 ) ( Dalam Rupiah )

2002 2003 2004

1 DAVO 11.358.710.000 622.589.880.651 495.275.000.000

2 INDF 2.270.500.921.000 622.237.180.362 648.354.339.892 3 MYOR -81.563.079.284 155.808.473.815 171.138.345.215

4 STTP 6.056.428.187 52.165.343.244 12.488.100.000

5 TBLA 45.841.449 83.979.917 63.374.608

6 ULTJ -4.025.292.232 37.651.551.887 175.017.929.126

7 GGRM -611.217.000.000 -10.270.000.000 1.188.478.000.000 8 HMSP -1.361.269.000.000 -735.291.000.000 -1.961.825.000.000 9 INDR -462.414.024.000 -483.238.242.000 -154.071.522.000

10 TIRT 73.309.095.098 75.709.632.485 79.105.355.763

11 BUDI -14.361.000.000 5.463.000.000 -22.450.000.000

12 CLPI -2.542.793.400 -2.572.032.723 7.076.932.012

13 LTLS 46.226.235.338 272.414.000.000 -37.570.000.000

14 INCI -2.365.006.960 -1.726.521.341 -4.106.580.944

15 DYNA -38.622.325.710 34.991.264.667 64.289.939.846

16 IGAR -35.458.177.022 -25.096.649.392 -7.308.706.424 17 TRST -203.902.821.695 47.026.421.821 61.555.065.619

18 INTP -2.854.720.000 -11.113.503.760 5.084.758.517

19 SMGR -2.458.164.523.000 -891.709.893.000 -434.424.863.000 20 KOMI -15.422.400.000 -19.278.000.000 -21.205.800.000 21 ASGR -141.352.246.791 -94.696.990.545 -38.628.349.956 22 MLPL -38.259.318.385 -129.677.000.000 256.245.000.000 23 ASII -2.634.727.000.000 -3.898.899.000.000 -1.417.494.000.000 24 AUTO -112.684.000.000 -122.178.000.000 38.053.000.000 25 GJTL -168.943.000.000 -544.945.000.000 -627.732.000.000 26 ADMG -36.150.306.000 -221.804.490.000 -556.496.700.000 27 HEXA 20.467.926.350 -42.994.290.615 -144.316.212.742 28 TURI -62.111.000.000 252.723.000.000 355.601.000.000 29 UNTR -314.477.000.000 -361.602.000.000 -1.423.736.000.000 30 DNKS -51.474.542.817 -6.679.308.864 -88.750.542.397 31 DVLA -71.600.133.000 -38.335.982.000 -13.591.541.000 32 KLBF -105.027.250.134 -9.754.727.215 -132.745.877.613 33 KAEF -69.495.333.764 -96.753.625.652 -41.182.687.831 34 TSPC -136.494.101.053 -184.711.543.323 -180.710.822.550

35 MRAT -28.494.456.752 -18.084.416.461 378.038.170

(5)

LAMPIRAN V

NO KODE

HARGA SAHAM ( Y ) ( Dalam Rupiah )

2002 2003 2004

1 DAVO 90 410 200

2 INDF 600 800 800

3 MYOR 380 875 1.200

4 STTP 260 180 180

5 TBLA 150 160 230

6 ULTJ 600 450 425

7 GGRM 8.300 13.600 13.550

8 HMSP 3.700 4.475 6.650

9 INDR 450 15 625

10 TIRT 125 150 185

11 BUDI 105 100 110

12 CLPI 385 480 480

13 LTLS 180 285 370

14 INCI 275 300 440

15 DYNA 850 1.400 1.800

16 IGAR 85 135 105

17 TRST 170 280 205

18 INTP 675 2.125 3.075

19 SMGR 8.150 7.850 18.500

20 KOMI 800 1.375 3.125

21 ASGR 275 330 320

22 MLPL 170 210 315

23 ASII 3.150 5.000 9.600

24 AUTO 1.400 1.650 1.925

25 GJTL 230 550 650

26 ADMG 110 375 345

27 HEXA 395 925 3.075

28 TURI 285 300 675

29 UNTR 305 1.250 2.275

30 DNKS 400 1.225 775

31 DVLA 460 775 700

32 KLBF 275 1.000 550

33 KAEF 185 210 205

34 TSPC 4.125 5.900 7.600

35 MRAT 360 435 410

(6)

LAMPIRAN VI

RATA – RATA ( Dalam Rupiah )

NO KODE X 1 X2 X3 Y

(7)

21 ASGR 126.800.990.578 12.416.709.748 (91.559.195.764) 308 22 MLPL 182.045.270.921 71.237.469.667 29.436.227.205 232 23 ASII 3.269.295.333.333 (218.900.000.000) (2.650.373.333.333) 5.917 24 AUTO 94.944.333.333 (112.775.000.000) (65.603.000.000) 1.658 25 GJTL 571.270.333.333 (208.847.333.333) (447.206.666.667) 477 26 ADMG 361.556.314.667 (118.891.106.333) (271.483.832.000) 277 27 HEXA 85.134.421.334 (10.719.566.652) (55.614.192.336) 1.465 28 TURI (79.790.333.333) (95.185.000.000) 182.071.000.000 420 29 UNTR 1.287.137.000.000 (486.131.333.333) (699.938.333.333) 1.277 30 DNKS 190.142.581.785 (54.771.795.822) (48.968.131.359) 800 31 DVLA 61.697.927.000 3.401.168.333 (41.175.885.333) 645 32 KLBF 443.789.413.768 (258.101.996.434) (82.509.284.987) 608 33 KAEF 103.548.543.940 (52.396.013.471) (69.143.882.416) 200 34 TSPC 362.527.097.327 (121.749.421.599) (167.305.488.975) 5.875 35 MRAT 15.549.894.744 (6.343.054.990) (15.400.278.348) 402

(8)

LAMPIRAN VII

NPar Tests

Descriptive Statistics

36 4.7E+11 7.407E+11 -8.0E+10 3.27E+12 36 -2.0E+12 1.137E+13 -6.8E+13 4.78E+11 36 -1.9E+11 6.264E+11 -2.7E+12 1.18E+12 36 1859.5833 3076.3424 105.00 11816.67 OPCF

INVCF EXPCF PRICE

N Mean Std. Deviation Minimum Maximum

One-Sample Kolmogorov-Smirnov Test

36 36 36 36

4.7E+11 -2.0E+12 -1.9E+11 1859.5834 7.4E+11 1.1E+13 6.3E+11 3076.3423

.286 .523 .313 .321

.286 .414 .217 .321

-.236 -.523 -.313 -.284

1.713 3.136 1.878 1.923

.006 .000 .002 .001

N

Mean Std. Deviation Normal Parametersa,b

Absolute Positive Negative Most Extreme Differences Kolmogorov-Smirnov Z Asymp. Sig. (2-tailed)

OPCF INVCF EXPCF PRICE

Test distribution is Normal. a.

Calculated from data. b.

NPar Tests

Descriptive Statistics

35 25.5542 2.1628 17.39 28.82

6 24.2882 1.6951 21.95 26.89

13 24.3655 2.6179 17.98 27.80

36 6.5640 1.3245 4.65 9.38

LNOPCF LNINVCF LNEXPCF LNPRICE

N Mean Std. Deviation Minimum Maximum

One-Sample Kolmogorov-Smirnov Test

35 6 13 36

25.5542 24.2882 24.3655 6.5640 2.1628 1.6951 2.6179 1.3245

.115 .173 .250 .137

.066 .173 .117 .137

-.115 -.126 -.250 -.095

.679 .424 .902 .820

.746 .994 .390 .512

N

Mean Std. Deviation Normal Parametersa,b

Absolute Positive Negative Most Extreme Differences Kolmogorov-Smirnov Z Asymp. Sig. (2-tailed)

LNOPCF LNINVCF LNEXPCF LNPRICE

Test distribution is Normal. a.

(9)

LAMPIRAN VIII

Regression

Variables Entered/Removedb

LNEXPCF, LNINVCF, LNOPCFa

. Enter Model

1

Variables Entered

Variables

Removed Method

All requested variables entered. a.

Dependent Variable: LNPRICE b.

Model Summaryb

Model R R Square R SquareAdjusted Std. Error of the Estimate Durbin-WAtson

1 .674a .454 .403 1.0236 1.681

a Predictors: (Constant), LNEXPCF, LNINVCF, LNOPCF

b Dependent Variable: LNPRICE

ANOVAb

27.877 3 9.292 8.869 .000a

33.528 32 1.048

61.404 35

Regression Residual Total Model 1

Sum of

Squares df Mean Square F Sig.

Predictors: (Constant), LNEXPCF, LNINVCF, LNOPCF a.

Dependent Variable: LNPRICE b.

Coefficientsa

3.180 6.695 .475 .638

.528 .105 .850 5.035 .000 .599 1.670

-8.43E-02 .277 -.041 -.304 .763 .948 1.054

-.331 .147 -.383 -2.244 .032 .586 1.707

(Constant) LNOPCF LNINVCF LNEXPCF Model

1

B Std. Error

Unstandardized Coefficients

Beta Standardi

zed Coefficien

ts

t Sig. Tolerance VIF

Collinearity Statistics

(10)

Collinearity Diagnosticsa

3.994 1.000 .00 .00 .00 .00

4.488E-03 29.830 .03 .49 .03 .02

1.635E-03 49.416 .02 .51 .01 .98

3.380E-04 108.700 .95 .00 .96 .00

Dimension 1

2 3 4 Model 1

Eigenvalue

Condition

Index (Constant) LNOPCF LNINVCF LNEXPCF Variance Proportions

(11)

LAMPIRAN IX

Regression

Variables Entered/Removedb

LNEXPCF, LNINVCF, LNOPCFa . Enter Model 1 Variables Entered Variables Removed Method

All requested variables entered. a.

Dependent Variable: RES b.

Model Summary

.286a .082 -.004 .5298

Model 1

R R Square

Adjusted R Square

Std. Error of the Estimate

Predictors: (Constant), LNEXPCF, LNINVCF, LNOPCF a.

ANOVAb

.800 3 .267 .950 .428a

8.981 32 .281

9.781 35 Regression Residual Total Model 1 Sum of

Squares df Mean Square F Sig.

Predictors: (Constant), LNEXPCF, LNINVCF, LNOPCF a.

Dependent Variable: RES b.

Coefficientsa

-7.32E-02 3.465 -.021 .983

8.715E-02 .054 .351 1.606 .118

4.653E-02 .144 .056 .324 .748

-.101 .076 -.294 -1.329 .193

(Constant) LNOPCF LNINVCF LNEXPCF Model 1

B Std. Error Unstandardized Coefficients Beta Standardi zed Coefficien ts t Sig.

Referensi

Dokumen terkait

Hal ini dikarenakan pada volume pelarut yang sama dengan jumlah berat bahan semakin banyak, berat tanin yang dihasilkan dapat optimum.... Grafik Hubungan Ekstrak dan

Optimasi laba adalah tujuan dari setiap pengusaha sehingga untuk mencapainya dibutuhkan suatu sistem yang baik dan bisa mendukung jalannya usaha tersebut. Proses perhitungan

Untuk kondisi eksisting kegiatan penataan lingkungan permukiman menggambarkan tentang Rencana Tata Bangunan dan Lingkungan (RTBL), Rencana Induk Sistem Proteksi

Kesimpulan yang dapat dikemukakan dari hasil penelitian ini adalah terjadinya peningkatan kemampuan fisik motorik kasar anak melalui alat permainan edukatif di

Dengan demikian derajat desentralisasi fiskal daerah 4 kabupaten di Pulau Madura dalam kategori rendah sekali, rasio ketergantungan keuangan daerah 4 kabupaten di

Gerak robot pengebor PCB dapat optimalisasi menggunakan metoda jalur terpendek dengan algoritma tetangga terdekat yang dimodifikasi dengan cara meminimalkan perpindahan lengan

Biaya tetap meliputi biaya tanah, biaya sertifikasi tanah, biaya pembuatan jalan, biaya pemasaran, biaya konstruksi taman & pintu gerbang, biaya desain, biaya penerangan

Tujuan penulisan ini adalah untuk menentukan return portofolio yang terdiri dari beberapa jenis saham menggunakan Capital Asset Pricing Model (CAPM) setelah dikenakan