Lampiran 8 : Hasil Statistik Deskriptif Lampiran 9 : Hasil Uji Asumsi Klasik Lampiran 10: Hasil Uji Regresi Linear Berganda

(1)

79 LAMPIRAN

Lampiran 1:

Sampel Penelitian Perusahaan Otomotif dan Komponen yang Terdaftar di

Bursa Efek Indonesia

Lampiran 2:

Indikator yang menjadi Perhitungan

Lampiran 3:

Perhitungan CR pada Perusahaan Perusahaan Otomotif dan Komponen

2012-2015

Lampiran 4:

Perhitungan DER pada Perusahaan Perusahaan Otomotif dan Komponen

2012-2015

Lampiran 5:

Perhitungan ITO pada Perusahaan Perusahaan Otomotif dan Komponen

2012-2015

Lampiran 6:

Perhitungan ROE pada Perusahaan Perusahaan Otomotif dan Komponen

2012-2015

Lampiran 7:

Perhitungan PER pada Perusahaan Perusahaan Otomotif dan Komponen

2012-2015

Lampiran 8 :

Hasil Statistik Deskriptif

Lampiran 9 :

Hasil Uji Asumsi Klasik

(2)

80 Lampiran 1

Sampel Penelitian Perusahaan Otomotif dan Komponen yang Terdaftar di Bursa

Efek Indonesia tahun 2012-2015

NO KODE

NAMA EMITEN

TANGGAL

IPO

1 ASII

PT. Astra Internasional Tbk

04-Apr-1990

2 AUTO PT. Astra Otoparts Tbk

15-Jun-1998

3 BRAM PT. Indo Kordsa Tbk

05-Sep-1990

4 GDYR PT. Goodyear Indonesia Tbk

01-Des-1980

5 GJTL

PT. Gajah Tunggal Tbk

08-Mei-1990

6 IMAS

PT. Indomobil Sukses International Tbk

15-Sep-1993

7 INDS

PT. Indospring Tbk

10-Aug-1990

8 LPIN

PT. Multi Prima Sejahtera Tbk

05-Feb-1990

9 MASA PT. Multistrada Arah Sarana Tbk

09-Jun-2005

10 NIPS

PT. Nipres Tbk

24-Jul-1991

11 PRAS

PT. Prima Alloy Steel Universal Tbk

12-Jul-1990

(3)

81 Lampiran 2

Indikator yang Menjadi Perhitungan

2012

2013

2014

2015

ASII

75.799.000.000.000 88.352.000.000.000 97.241.000.000.000 105.161.000.000.000

AUTO

3.205.631.000.000

4.896.682.000.000

5.138.080.000.000

4.796.770.000.000

BRAM

830.921.425.130 1.110.241.641.888

1.354.185.778.896

1.401.392.741.954

GDYR

598.085.007.272

605.224.069.120

778.519.236.444

798.033.414.650 GJTL

5.194.057.000.000

6.843.853.000.000

6.283.252.000.000

6.602.281.000.000

IMAS

9.850.095.954.329 11.634.955.170.257 11.845.370.194.860 12.192.274.613.320

INDS

877.635.915.018 1.086.590.779.051

975.954.232.621

992.929.224.058 LPIN

95.726.263.363

117.583.929.998

84.882.248.725

142.576.406.096 MASA

1.644.677.115.662

1.968.790.111.456

2.074.069.835.196

2.183.557.239.758

NIPS

308.486.312.000

534.840.333.000

671.452.284.000

701.282.705.000 PRAS

197.198.600.380

331.855.600.868

566.779.211.419

658.889.212.539 SMSM

986.324.235.891 1.108.057.000.000

1.133.730.000.000

1.368.558.000.000

Aset Lancar

2012

2013

2014

2015

ASII

54.178.000.000.000 71.139.000.000.000 74.241.000.000.000 76.242.000.000.000

AUTO

2.751.766.000.000

2.661.312.000.000

3.857.809.000.000

3.625.907.000.000

BRAM

390.549.003.362

706.551.216.928

956.599.789.524

775.763.748.306 GDYR

668.388.304.224

644.948.059.680

824.455.479.804

852.087.981.140 GJTL

3.020.030.000.000

2.964.235.000.000

3.116.223.000.000

3.713.148.000.000

IMAS

7.963.486.975.807 10.720.516.169.124 11.473.255.532.702 13.035.531.353.729

INDS

371.743.866.089

281.799.219.289

335.123.443.361

445.006.853.182 LPIN

32.995.214.492

47.334.458.367

39.239.103.931

180.556.111.049 MASA

1.180.412.892.636

1.266.144.535.008

1.186.691.002.818

1.699.064.633.222

NIPS

278.822.186.000

508.836.644.000

518.954.801.000

669.595.797.000 PRAS

177.151.899.038

321.945.837.163

564.899.086.298

655.589.698.468 SMSM

480.851.511.068

524.654.000.000

536.800.000.000

571.712.000.000

(4)

82 2012

2013

2014

2015

ASII

92.460.000.000.000 107.806.000.000.000 115.840.000.000.000 118.902.000.000.000

AUTO

3.396.543.000.000

3.058.924.000.000

4.244.862.000.000

4.195.684.000.000

BRAM

583.547.165.960

923.755.158.816 1.616.909.113.590

1.494.772.943.566

GDYR

684.942.445.258

664.884.345.024

858.313.951.554

876.182.546.636 GJTL

7.391.409.000.000

9.626.411.000.000

10.485.032.000.000

12.115.363.000.000

IMAS

11.869.218.951.856 15.655.152.396.933

16.753.973.180.065

18.163.865.982.392

INDS

528.206.496.386

443.652.749.965

459.998.606.660

634.889.428.231 LPIN

37.413.214.492

52.980.206.367

48.626.571.931

207.564.071.081 MASA

2.429.583.028.886

3.077.923.108.608

3.113.850.675.936

3.472.371.951.378

NIPS

322.620.214.000

562.461.853.000

624.632.294.000

938.717.411.000 PRAS

297.056.156.250

389.182.140.905

601.006.310.349

811.177.918.367 SMSM

646.095.282.949

695.957.000.000

635.514.000.000

779.860.000.000 Total Utang

2012

2013

2014

2015

ASII

89.814.000.000.000 106.188.000.000.000 120.187.000.000.000 126.533.000.000.000

AUTO

5.485.099.000.000

9.425.919.000.000

10.142.706.000.000

10.143.426.000.000

BRAM

1.632.114.305.314

1.975.181.227.872

2.199.454.519.116

2.510.949.078.006

GDYR

507.370.869.624

681.907.787.968

700.491.542.724

761.546.988.902 GJTL

5.478.384.000.000

5.724.343.000.000

5.637.004.000.000

5.394.142.000.000

IMAS

5.708.445.072.505

6.659.870.110.697

6.719.823.608.395

6.697.091.857.105

INDS

1.136.572.861.829

1.752.865.614.508

1.822.667.471.833

1.919.038.917.988

LPIN

134.855.613.501

143.410.609.857

132.155.190.760

116.490.714.202 MASA

3.579.220.252.804

4.551.387.301.888

4.628.740.449.684

4.741.667.755.684

NIPS

202.073.660.000

235.945.772.000

582.222.106.000

609.002.679.000 PRAS

280.293.729.818

406.448.113.303

685.821.589.456

720.564.133.797 SMSM

910.119.059.264 1.016.753.000.000

1.122.120.000.000

1.440.248.000.000

(5)

83 2012

2013

2014

2015

ASII

188.053.000.000.000 193.880.000.000.000 201.701.000.000.000 184.196.000.000.000

AUTO

8.277.485.000.000

10.701.988.000.000 12.255.427.000.000 11.723.787.000.000

BRAM

1.675.538.304.716

2.427.635.430.112

2.571.121.595.388

2.853.176.224.122

GDYR

1.957.137.652.250

2.236.157.001.600

1.989.950.061.216

2.119.286.603.632

GJTL

12.578.596.000.000 12.352.917.000.000 13.070.734.000.000 12.970.237.000.000

IMAS

19.780.838.058.900 20.094.736.395.135 19.458.165.173.088 18.099.979.783.215

INDS

1.476.987.701.603

1.702.447.098.851

1.866.977.260.105

1.659.505.639.261

LPIN

68.736.656.643

77.231.127.337

70.155.464.867

77.790.171.689 MASA

3.087.521.302.278

3.928.155.954.336

3.491.126.595.348

3.253.367.458.404

NIPS

702.719.255.000

911.064.069.000 1.015.868.035.000

987.862.829.000 PRAS

310.224.018.731

316.174.631.298

445.664.542.004

469.645.085.526 SMSM

2.269.289.777.481

2.381.889.000.000

2.632.860.000.000

2.802.924.000.000

Penjualan

2012

2013

2014

2015

ASII

15.285.000.000.000 14.433.000.000.000 16.986.000.000.000 18.337.000.000.000

AUTO

1.155.235.000.000

1.472.428.000.000

1.718.663.000.000

1.749.263.000.000

BRAM

354.116.464.624

510.124.891.872

656.001.099.276

716.871.302.130 GDYR

245.371.843.994

288.597.900.128

379.396.184.166

360.830.666.490 GJTL

1.478.827.000.000

1.820.112.000.000

2.247.074.000.000

2.112.616.000.000

IMAS

3.888.214.740.154

4.498.533.194.624

3.366.038.875.959

2.818.952.958.749

INDS

528.533.039.343

383.515.708.536

478.330.720.924

538.841.439.260 LPIN

26.665.573.944

46.082.485.435

53.259.970.197

39.606.789.768 MASA

917.190.939.672 1.040.199.931.392

1.081.389.883.836

974.802.662.474 NIPS

123.127.075.000

193.146.288.000

225.074.574.000

246.439.073.000 PRAS

119.894.122.220

153.754.605.992

205.840.908.489

286.994.128.546 SMSM

424.597.061.201

401.681.000.000

432.027.000.000

560.755.000.000 Persediaan

(6)

84 2012

2013

2014

2015

ASII

22.742.000.000.000 22.297.000.000.000 22.131.000.000.000 15.613.000.000.000

AUTO

1.135.914.000.000

999.766.000.000

954.086.000.000

322.701.000.000 BRAM

216.940.652.552

67.216.650.560

203.332.118.688

172.585.315.956 GDYR

64.217.199.134

56.205.894.048

34.417.920.216 -1.523.284.028

GJTL

1.132.247.000.000

120.330.000.000

283.016.000.000 -313.326.000.000

IMAS

899.090.885.530

621.139.761.829 -67.093.347.900

-22.489.430.531

INDS

134.068.283.255

147.608.449.013

127.819.512.585

1.933.819.152 LPIN

16.599.848.712

8.554.996.356 -9.416.233.847

-18.173.655.308

MASA

3.076.605.634

43.679.780.320

6.809.088.288 -368.667.635.998

NIPS

21.610.141.000

33.872.112.000

49.741.721.000

30.671.339.000 PRAS

15.565.386.865

13.196.638.424

11.340.527.608

6.437.333.237 SMSM

286.929.498.426

352.701.000.000

421.095.000.000

461.307.000.000 Laba Bersih setelah pajak

2012

2013

2014

2015

ASII

7600

6800

7425

6000

AUTO

3548

3650

4200

1600

BRAM

3000

2250

5000

4680

GDYR

1230

1900

1600

2725

GJTL

2225

1680

1425

530 IMAS

5300

4900

4000

2365

INDS

3924

2140

1600

350 LPIN

7650

5000

6200

5375

MASA

450

390

420

351 NIPS

113

323

487

425 PRAS

255

185

204

125 SMSM

2525

3450

4750

4760

Harga Saham

2012

2013

2014

2015

ASII

480

474

357 AUTO

264

209

180

66 BRAM

358,9006

129,7696

394,8582

317,0706

GDYR

1539,52

1334,08

84,1704

-4,1178

GJTL

325

35 81,22

-89,92

IMAS

289,93

192,55

-45,72

-16,54

INDS

422,80

279,62

193,27

1,44

LPIN

781

403 -478

-831

MASA

28,866

485,12

86,646

-4117,8

NIPS

1081

47

33

21 PRAS

26,5

18,8

9,2

SMSM

152

214

271

297

(7)

85 Lampiran 3

Perhitungan CR pada Perusahaan Otomotif dan Komponen tahun 2012-2015

2012

2013

2014

2015

ASII

1,399

1,242

1,310

1,379

AUTO

1,165

1,840

1,332

1,323

BRAM

2,128

1,571

1,416

1,806

GDYR

0,895

0,938

0,944

0,937

GJTL

1,720

2,309

2,016

1,778

IMAS

1,237

1,085

1,032

0,935

INDS

2,361

3,856

2,912

2,231

LPIN

2,901

2,484

2,163

0,790

MASA

1,393

1,555

1,748

1,285

NIPS

1,106

1,051

1,294

1,047

PRAS

1,113

1,031

1,003

1,005

SMSM

2,051

2,112

2,394

(8)

86 Lampiran 4

Perhitungan DER pada Perusahaan Otomotif dan Komponen tahun 2012-2015

2012

2013

2014

2015

ASII

1,029

1,015

0,964

0,940

AUTO

0,619

0,325

0,419

0,414

BRAM

0,358

0,468

0,735

0,595

GDYR

1,350

0,975

1,225

1,151

GJTL

1,349

1,682

1,860

2,246

IMAS

2,079

2,351

2,493

2,712

INDS

0,465

0,253

0,252

0,331

LPIN

0,277

0,369

0,368

1,782

MASA

0,679

0,676

0,673

0,732

NIPS

1,597

2,384

1,073

1,541

PRAS

1,060

0,958

0,876

1,126

SMSM

0,710

0,684

0,566

0,541

(9)

87 Lampiran 5

Perhitungan ITO pada Perusahaan Otomotif dan Komponen tahun 2012-2015

2012

2013

2014

2015

ASII

12,303

13,433

11,875

10,045

AUTO

7,165

7,268

7,131

6,702

BRAM

4,732

4,759

3,919

3,980

GDYR

7,976

7,748

5,245

5,873

GJTL

8,506

6,787

5,817

6,139

IMAS

5,087

4,467

5,781

6,421

INDS

2,795

4,439

3,903

3,080

LPIN

2,578

1,676

1,317

1,964

MASA

3,366

3,776

3,228

3,337

NIPS

5,707

4,717

4,513

4,009

PRAS

2,587

2,056

2,165

1,636

SMSM

5,345

5,930

6,094

4,998

(10)

88 Lampiran 6

Perhitungan ROE pada Perusahaan Otomotif dan Komponen tahun 2012-2015

2012

2013

2014

2015

ASII

0,253

0,210

0,184

0,123

AUTO

0,207

0,106

0,094

0,032

BRAM

0,133

0,034

0,092

0,069

GDYR

0,127

0,082

0,049

-0,002

GJTL

0,207

0,021

0,050

-0,058

IMAS

0,158

0,093

-0,010

-0,003

INDS

0,118

0,084

0,070

0,001

LPIN

0,123

0,060

-0,071

-0,156

MASA

0,001

0,010

0,001

-0,078

NIPS

0,107

0,144

0,085

0,050

PRAS

0,056

0,032

0,017

0,009

SMSM

0,315

0,347

0,375

0,320

(11)

89 Lampiran 7

Perhitungan PER pada Perusahaan Otomotif dan Komponen tahun 2012-2015

2012

2013

2014

2015

ASII

15,833

14,167

15,665

16,807

AUTO

13,439

17,464

23,333

24,242

BRAM

8,359

17,338

12,663

14,760

GDYR

0,799

1,424

19,009

-661,761

GJTL

6,846

48,000

17,545

-5,894

IMAS

18,280

25,448

-87,489

-142,987

INDS

9,281

7,653

8,279

243,056

LPIN

9,795

12,407

-12,971

-6,468

MASA

15,589

0,804

4,847

-0,085

NIPS

0,105

6,872

14,758

20,238

PRAS

9,623

9,840

10,851

13,587

SMSM

16,612

16,121

17,528

16,027

(12)

90 Lampiran 8

Hasil Statistik Desktiptif

1. Statistik Deskriptif Sebelum Normalitas

Descriptive Statistics

N

Minimum

Maximum

Mean

Std. Deviation

CR

48 ,790

3,856

1,59865

,647700

DER

48 ,252

2,712

1,02765

,664685

ITO

48 1,317

13,433

5,29948

2,720027

ROE

48 -,156

,375

,08898

,110172

PER

48 -661,761

243,056 -2,54919

106,729233

Valid N (listwise)

48

2. Statistik Deskriptif Setelah Normalitas

Descriptive Statistics

N

Minimum

Maximum

Mean

Std. Deviation

CR

44 ,790

3,856

1,62727

,648469

DER

44 ,252

2,384

,96909

,593162

ITO

44 1,317

13,433

5,30045

2,816013

ROE

44 -,156

,375

,09739

,111345

PER

44 -12,971

48,000

11,97318

9,981184

(13)

91 Lampiran 9

Hasil Uji Asumsi Klasik

1. Uji Normalitas

Uji Normalitas Awal

2. Uji Normalitas Akhir

One-Sample Kolmogorov-Smirnov Test

Unstandardized

Residual

N

48 Normal Parameters

a,b

Mean

0E-7

Std. Deviation

102,68022172

Most Extreme Differences

Absolute

,277

Positive

,276

Negative

-,277

Kolmogorov-Smirnov Z

1,921

Asymp. Sig. (2-tailed)

,001

a. Test distribution is Normal.

b. Calculated from data.

One-Sample Kolmogorov-Smirnov Test

Unstandardized

Residual

N

44 Normal Parameters

a,b

Mean

0E-7

Std. Deviation

9,32965936

Most Extreme Differences

Absolute

,089

Positive

,089

Negative

-,077

Kolmogorov-Smirnov Z

,591

Asymp. Sig. (2-tailed)

,876

a. Test distribution is Normal.

(14)

92

(15)

93 2. Uji Multtikolonieritas

Coefficients

a

Model

Unstandardized

Coefficients

Standardized

Coefficients

t

Sig.

Collinearity Statistics

B

Std.

Error

Beta

Tolerance

VIF

1 (Constant)

3,849

7,196

,535

,596

CR

1,043

2,743

,068

,380

,706

1,417

DER

1,561

2,901

,093

,538

,594

,754

1,326

ITO

,518

,645

,146

,803

,427

,677

1,476

ROE

22,285 16,450

,249

1,355

,183

,665

1,503

a. Dependent Variable: PER

3. Uji Heteroskedastisitas

Uji

Glejser

Coefficients

a

Model

Unstandardized

Coefficients

Standardized

Coefficients

t

Sig.

Kesimpulan

B

Std. Error

Beta

1 (Constant)

-2,383

3,832

-,622 ,538

CR

2,704

1,460

,272

1,852 ,072 Tidak Terjadi Heteroskedastisitas

DER

4,185

1,544

,386

2,710 ,010

Terjadi Heteroskedastisitas

ITO

,761

,343

,333

2,218 ,032

Terjadi Heteroskedastisitas

ROE

-35,262

8,759

-,610 -4,026 ,000

Terjadi Heteroskedastisitas

(16)

94 Uji

Korelasi Spearman

Correlations

CR

DER

ITO

ROE

Absres

Spearman's rho

CR

Correlation Coefficient

1,000

-,634

**

_-,060

_,185

_-,271

Sig. (2-tailed)

.

,000

,700

,229

,075

N

44

44 DER

Correlation Coefficient

-,634

**

_1,000

_,203

_-,059

_,327

*

Sig. (2-tailed)

,000

.

,185

,705

,030

N

44

44 ITO

Correlation Coefficient

-,060

,203

1,000

,583

**

_,095

Sig. (2-tailed)

,700

,185

.

,000

,538

N

44

44 ROE

Correlation Coefficient

,185

-,059

,583

**

_1,000

_-,496

**

Sig. (2-tailed)

,229

,705

,000

.

,001

N

44

44 Absres

Correlation Coefficient

-,271

,327

*

_,095

_-,496

**

_1,000

Sig. (2-tailed)

,075

,030

,538

,001

.

N

44

44 **. Correlation is significant at the 0.01 level (2-tailed).

(17)

95 Transformasi Heteroskedastisitas

Coefficients

a

Model

Unstandardized

Coefficients

Standardized

Coefficients

_t

_Sig.

B

Std. Error

Beta

1 _(Constant)

_11,328

_2,939

_{3,855 ,000}

INVERSE_DER

,665

2,594

,040

,256 ,799

a. Dependent Variable: PER

Coefficients

a

Model

Unstandardized

Coefficients

Standardized

Coefficients

t

Sig.

B

Std. Error

Beta

1 (Constant)

9,169

1,925

4,763 ,000

INVERSEROE

28,792

13,099

,321

2,198 ,034

a. Dependent Variable: PER

4. Uji Autokorelasi

Model Summary

b

Model

R

R Square

Adjusted R

Square

Std. Error of the

Estimate

Durbin-Watson

1 ,355

a

_,126

_,037

_9,796427

_1,779

a. Predictors: (Constant), ROE, DER, CR, ITO

(18)

96 Lampiran 10

Uji Regresi Linear Berganda

Coefficients

a

Model

Unstandardized

Coefficients

Standardized

Coefficients

t

Sig.

B

Std. Error

Beta

1 (Constant)

3,849

7,196

,535

,596

CR

1,043

2,743

,068

,380

,706

DER

1,561

2,901

,093

,538

,594

ITO

,518

,645

,146

,803

,427

ROE

22,285

16,450

,249

1,355

,183

(19)

97

Filename:

Skripsi_13.30.0121_Thio,Kori_Karunia_O_PENGARUH_CURRENT_RATIO,DEBT_TO_EQUITY_RATIO,INVENTORY_TURNOVER_DAN_RET URN_ON_E.docx

Date: 2017-04-06 02:47 UTC

Results of plagiarism analysis from 2017-04-06 02:52 UTC

4281 matches from 100 sources, of which 28 are online sources.

PlagLevel: 7.6%/93.2%

[0] (459 matches, 0.0%95.0%) from your PlagScan document "SKRIPSI_13....N_RETURN_ON_.docx" dated 2017-04-05

[1] (81 matches, 2.2%/9.9%) from dokumen.tips/documents/pengaruh-debt-to-...sa-efek-indonesia-periode-2006-2008.html

[2] (74 matches, 3.3%/9.6%) from your PlagScan document "12.61.0055 Fransiska Reni.docx" dated 2017-01-25

[3] (76 matches, 2.0%/9.1%) from your PlagScan document "12.60.0104 Stefani.pdf" dated 2016-10-05

[4] (68 matches, 2.1%/8.4%) from your PlagScan document "Skripsi_13....rn_Over_terh.docx" dated 2017-04-06

[5] (70 matches, 2.4%/8.0%) from dokumen.tips/documents/pengaruh-perputar...an-asset-tetap-dan-perputaran-modal.html

[6] (65 matches, 2.0%/8.0%) from your PlagScan document "Skripsi_13....n_Over_Terha.docx" dated 2017-04-05

[7] (61 matches, 2.0%/7.4%) from your PlagScan document "Yuliana_Win...ai_Perusahaan.pdf" dated 2017-03-15

[8] (56 matches, 2.8%/6.7%) from your PlagScan document "11.30.0060 ...kelvianto 100.pdf" dated 2016-10-04

[9] (48 matches, 1.8%/5.7%) from jurnal.umrah.ac.id/wp-content/uploads/gr...478e525e/2014/08/KARYA-ILMIAH-JURNAL.pdf

[10] (58 matches, 1.3%/6.1%) from your PlagScan document "Skripsi_13....ITAS_SEBAGAI.docx" dated 2017-03-16

[11] (57 matches, 1.3%/5.9%) from your PlagScan document "Skripsi_Meg...gai_variabel.docx" dated 2017-03-20

[12] (57 matches, 1.4%/5.7%) from your PlagScan document "SKRIPSI_13....ITAS_SEBAGAI.docx" dated 2017-02-07

[13] (44 matches, 1.2%/5.4%) from your PlagScan document "Skripsi_13...._dan_implika.docx" dated 2017-03-09

[14] (43 matches, 1.2%/5.3%) from your PlagScan document "SIKRIPSI_13...CSR_dan_Impl.docx" dated 2017-03-07

[15] (55 matches, 1.1%/5.6%) from your PlagScan document "SKRIPSI/TUG...jualan_terha.docx" dated 2017-02-08

[16] (44 matches, 1.6%/5.1%) from eprints.mdp.ac.id/1561/1/Jurnal.pdf

[17] (36 matches, 2.0%/4.9%) from dokumen.tips/documents/analisis-variabel...ursa-efek-indonesia-tahun-2005-2010.html

[18] (51 matches, 1.4%/5.5%) from your PlagScan document "SKRIPSI_11...._AUDIT,_DAN_V.doc" dated 2017-03-15

[19] (50 matches, 1.5%/5.4%) from your PlagScan document "SKRIPSI_11...._AUDIT,_DAN_V.doc" dated 2017-03-15

[20] (41 matches, 1.2%/4.8%) from https://blognyaekonomi.files.wordpress.com/2013/06/724-1436-1-sm.pdf

[21] (51 matches, 1.6%/5.3%) from your PlagScan document "13.30.0192 ...ELOK DWINANDA.pdf" dated 2017-03-08

[22] (47 matches, 0.5%/4.8%) from docplayer.info/106147-Muhammad-nuryatno-...onomi-universitas-trisakti-abstract.html

[23] (53 matches, 1.3%/5.2%) from your PlagScan document "Handayani_1...alitas_Laba,.docx" dated 2017-03-07

(+ 1 documents with identical matches)

[25] (41 matches, 1.9%/4.9%) from ejournal.unsri.ac.id/index.php/jmbs/article/download/3378/1803

[26] (42 matches, 1.6%/4.7%) from your PlagScan document "Skripsi_12....I_PERUSAHAAN.docx" dated 2016-11-01

[27] (37 matches, 0.9%/4.6%) from your PlagScan document "12.92.0069 Adytami Mudita.pdf" dated 2016-10-10

[29] (41 matches, 1.5%/4.5%) from your PlagScan document "Skripsi_12....I_PERUSAHAAN.docx" dated 2016-10-29

[30] (45 matches, 0.8%/4.5%) from your PlagScan document "Skripsi_13....W_TERHADAP_DI.doc" dated 2017-02-06

[31] (47 matches, 1.7%/4.7%) from your PlagScan document "SKRIPSI_10...._KAP,Ukuran_.docx" dated 2017-03-13

[32] (43 matches, 1.3%/4.0%) from ejournal.undiksha.ac.id/index.php/S1ak/article/download/3458/2814

[33] (44 matches, 0.9%/4.3%) from your PlagScan document "Skripsi_13....ROFITABILITA.docx" dated 2017-03-09

[34] (36 matches, 0.8%/4.1%) from f.123dok.com/22190-faktor-faktor-yang-me...-komponennya-di-bursa-efek-indonesia.htm

[35] (36 matches, 1.0%/4.0%) from dokumen.tips/documents/pengaruh-informas...nomi-terhadap-nilai-perusahaan-efek.html

[36] (46 matches, 1.2%/4.3%) from your PlagScan document "Handayani_A...ualitas_laba.docx" dated 2017-03-27

[38] (33 matches, 0.7%/3.9%) from repository.usu.ac.id/bitstream/123456789/37466/4/Chapter II.pdf

[39] (39 matches, 1.5%/4.4%) from your PlagScan document "Skripsi_11...._Audit,_dan_V.doc" dated 2017-02-08

[40] (43 matches, 1.5%/4.2%) from your PlagScan document "SKRIPSI_11....HAAN,_LEVERA.docx" dated 2017-02-02

[41] (41 matches, 2.0%/4.1%) from your PlagScan document "Skripsi_12....ployee_Stock.docx" dated 2017-03-16

[42] (36 matches, 1.2%/3.9%) from digilib.mercubuana.ac.id/manager/n!@file_skripsi/Isi4293430577192.pdf

[43] (38 matches, 1.2%/4.1%) from your PlagScan document "SKRIPSI_11...._Harga_Saham.docx" dated 2016-10-31

[44] (42 matches, 0.7%/3.9%) from your PlagScan document "Skripsi_13...._Profitabili.docx" dated 2017-02-07

[46] (35 matches, 0.7%/3.6%) from docplayer.info/31172425-Bab-iv-hasil-pen...perusahaan-emiten-sektor-manufaktur.html

[47] (33 matches, 0.9%/3.7%) from https://manajemenfeunwar.files.wordpress...9/09/keuangan-eduar-haryadi-nop-2015.doc

[48] (38 matches, 1.1%/3.8%) from your PlagScan document "SKRIPSI_086...ce_Terhadap_N.doc" dated 2017-03-06

[49] (39 matches, 0.7%/3.8%) from your PlagScan document "SKRIPSI_11....DAN_DIVIDEN_.docx" dated 2017-03-15

[50] (33 matches, 0.6%/3.8%) from documents.tips/documents/t1232007163full-tekspdf.html

[51] (38 matches, 0.7%/3.6%) from your PlagScan document "Ismaya_Riri..._dan_Dividen.docx" dated 2016-10-28

[52] (35 matches, 1.1%/3.5%) from your PlagScan document "SKRIPSI_12....RETURN_SAHAM.docx" dated 2016-11-01

[53] (34 matches, 0.6%/3.4%) from your PlagScan document "SKRIPSI_13....NTERPRISE_RE.docx" dated 2017-03-12

[54] (31 matches, 1.1%/3.4%) from repository.maranatha.edu/10626/1/Pengaru...over) dan Perputaran Piutang.pdf

[55] (34 matches, 1.3%/3.4%) from your PlagScan document "SKRIPSI_11....RGANTIAN_KANT.doc" dated 2017-02-02

[56] (36 matches, 0.7%/3.4%) from your PlagScan document "11.60.0064 ririn ismaya.docx" dated 2016-10-26

[57] (37 matches, 0.7%/3.3%) from your PlagScan document "SKRIPSI_11....EMUAN_KOMITE_.doc" dated 2017-03-02

[60] (37 matches, 0.6%/3.3%) from your PlagScan document "SKRIPSI_11....MUAN_KOMITE_A.doc" dated 2017-03-05

[61] (31 matches, 0.8%/3.4%) from your PlagScan document "12.30.0187 ...inowigunanto.docx" dated 2017-03-08

[62] (34 matches, 0.6%/3.1%) from your PlagScan document "Skripsi_13....vidend_Policy.doc" dated 2017-02-06

[63] (31 matches, 1.4%/3.4%) from dokumen.tips/documents/pengaruh-roa-car-bopo-terhadap-tingkat-bagi-hasil.html

[64] (35 matches, 1.3%/3.4%) from your PlagScan document "Erawati_Fit...sional_Audit.docx" dated 2017-02-06

[65] (32 matches, 0.4%/3.2%) from your PlagScan document "SKRIPSI_11....NGKUNGAN_TER.docx" dated 2017-03-06

[66] (32 matches, 1.0%/3.2%) from your PlagScan document "SKRIPSI_12....AM_PERUSAHAA.docx" dated 2017-02-08

[67] (31 matches, 0.7%/2.8%) from dokumen.tips/documents/analisis-pengaruh...erhadap-harga-saham-pada-perusahaan.html

[68] (33 matches, 0.6%/3.1%) from your PlagScan document "Skripsi_11....AP_FEE_AUDIT.docx" dated 2017-04-05

[69] (33 matches, 0.7%/3.0%) from your PlagScan document "12.30.0089 ...ia Dwicahya C.pdf" dated 2016-10-05

[70] (32 matches, 1.0%/3.0%) from your PlagScan document "11.60.0182 ...a Dwitayanti_.pdf" dated 2016-10-07

[71] (30 matches, 0.4%/3.1%) from your PlagScan document "SKRIPSI_11....GKUNGAN_TERHA.doc" dated 2017-03-30

[72] (32 matches, 1.3%/3.2%) from your PlagScan document "Skripsi_11....onal_Auditor.docx" dated 2017-02-07

[73] (30 matches, 0.3%/3.0%) from your PlagScan document "SKRIPSI_11....GKUNGAN_TERHA.doc" dated 2017-03-31

[74] (22 matches, 1.4%/2.7%) from jurnal.umrah.ac.id/?p=3851

[75] (28 matches, 0.6%/2.8%) from your PlagScan document "Sari_Asni_K...ruhnya_Terha.docx" dated 2017-03-09

[76] (31 matches, 0.7%/3.0%) from your PlagScan document "08.60.0033 Shirley 2601.pdf" dated 2016-10-26

[77] (31 matches, 0.6%/2.8%) from your PlagScan document "SKRIPSI_13....ANAJMENE_LABA.pdf" dated 2016-11-10

(20)

98

[79] (21 matches, 0.7%/2.7%) from skripsibagus.com/tag/pengaruh-rasio-keua...i-bursa-efek-indonesia-periode-2xxx-2xxx

[80] (30 matches, 1.0%/2.9%) from your PlagScan document "11.60.0182 ...Dwitayanti_11.pdf" dated 2016-10-11

[82] (22 matches, 0.1%/2.8%) from repository.usu.ac.id/bitstream/123456789/51840/4/Chapter II.pdf

[83] (21 matches, 1.0%/2.5%) from dokumen.tips/documents/82330645-analisis...f-dan-komponen-yang-listing-di-burs.html

[84] (25 matches, 1.1%/2.9%) from your PlagScan document "SKRIPSI_12....AN_PELANGGAN.docx" dated 2017-03-17

[85] (19 matches, 0.0%2.8%) from docplayer.info/92257-Bab-ii-tinjauan-pustaka.html

[86] (34 matches, 0.6%/2.7%) from your PlagScan document "SKRIPSI_13....AN_ASING_DAN.docx" dated 2017-04-05

[87] (26 matches, 0.5%/2.7%) from your PlagScan document "SKRIPSI_086...CIAL_DISTRESS.doc" dated 2017-03-06

[88] (27 matches, 0.5%/2.7%) from your PlagScan document "Skripsi_11....p_efisiensi_.docx" dated 2017-02-07

[89] (28 matches, 0.8%/2.7%) from dokumen.tips/documents/relevansi-nilai-i...-kas-nilai-buku-goodwill-dan-ukuran.html

[90] (27 matches, 0.9%/2.6%) from your PlagScan document "SKRIPSI_11...._Laba,_Propo.docx" dated 2016-11-04

[91] (30 matches, 0.7%/2.6%) from your PlagScan document "Caudia D.C 12.30.0089.pdf" dated 2016-10-10

[92] (22 matches, 0.7%/2.3%) from khairilanwarsemsi.blogspot.com/2012/01/pengaruh-debt-to-equity-ratio-dan.html

[93] (26 matches, 0.6%/2.4%) from your PlagScan document "Sari_Asni_K...RUHNYA_TERHA.docx" dated 2017-02-07

[94] (28 matches, 0.6%/2.5%) from your PlagScan document "SKRIPSI_13....NAJEMEN_LABA.docx" dated 2016-11-11

[95] (26 matches, 0.9%/2.6%) from your PlagScan document "12.30.0294 Caecilia .pdf" dated 2016-10-03

[96] (25 matches, 0.6%/2.4%) from your PlagScan document "PROPOSAL_12...SIKLUS_HIDUP.docx" dated 2016-11-09

[97] (25 matches, 0.8%/2.7%) from your PlagScan document "10.61.0030_..._Bank_Syariah.doc" dated 2017-03-21

[98] (23 matches, 1.2%/2.4%) from https://sites.google.com/site/akuntasnim...n-yang-terdaftar-di-bursa-efek-indonesia

[99] (29 matches, 0.6%/2.6%) from your PlagScan document "SKRIPSI_13....osedur_Audit.docx" dated 2017-03-14 Settings

Sensitivity: Medium

Bibliography: Bibliography excluded Citation detection: Reduce PlagLevel Whitelist: --

Analyzed document

=====================1/62====================== PENGARUH CURRENT RATIO, DEBT TO EQUITY RATIO, INVENTORY TURNOVER DAN RETURN ON EQUITY TERHADAP PRICE EARNING RATIO

(Studi Empiris Pada Perusahaan Otomotif dan Komponen Yang Terdaftar Di Bursa Efek Indonesia Periode 2012-2015)

SKRIPSI

Diajukan untuk memenuhi syarat guna mencapai gelar Sarjana Ekonomi pada Program Studi Manajemen Fakultas Ekonomi dan Bisnis Universitas Katolik Soegijapranata Semarang

Disusun oleh : Thio, Kori Karunia Odelia 13.30.0121

PROGRAM STUDI MANAJEMEN FAKULTAS EKONOMI DAN BISNIS UNIVERSITAS KATOLIK SOEGIJAPRANATA SEMARANG

2017

=====================2/62====================== BAB I

PENDAHULUAN 1.1. Latar Belakang

Kondisi perekonomian Indonesia terus mengalami perubahan pada tiga tahun terakhir ini. Hal ini dilihat dari tahun 2012-2014 pada masa pemerintahan Susilo Bambang Yudhoyono dan Jusuf Kalla, bahwa pertumbuhan perekonomian Indonesia mengalami penurunan. Badan Pusat Statistik mencatat bahwa pertumbuhan perekonomian Indonesia pada tahun 2012 sebesar 6,19 % mengalami penurunan pada tahun 2013 sebesar 5,56 % dan mengalami penurunan kembali menjadi 5,02 % pada tahun 2014. Hal yang sama juga terjadi pada masa pemerintahan Jokowi dan Jusuf Kalla. Menurut Badan Pusat Statistik

pertumbuhan perekonomian Indonesia mengalami penurunan menjadi 4,79 % pada tahun 2015, hal tersebut disebabkan karena anjloknya konsumsi rumah tangga seperti: makanan jadi, minuman, rokok, dll. Dibawah ini merupakan data pertumbuhan ekonomi Indonesia pada lima tahun terakhir yaitu pada tahun 2010- 2015.

=====================3/62====================== Diagram 1.1.

Pertumbuhan Ekonomi Indonesia tahun 2010-2015 Sumber : Badan Pusat Statistik

Dengan adanya kondisi perekonomian Indonesia yang selalu mengalami ketidakpastian tersebut, tentunya akan berpengaruh besar terhadap seluruh sektor industri salah satunya adalah industri otomotif. Industri otomotif berperan penting dalam perekonomian nasional. Selain menyediakan angkutan penumpang dan barang, industri otomotif juga telah membuka lapangan kerja

(http://www.gaikindo.or.id/).

Menurut Basri (2016) Indonesia merupakan produsen otomotif terbesar kedua di ASEAN dan sebagai penyumbang dalam pendapat nasional. Tanpa adanya industri otomotif, maka perekonomian Indonesia akan terus mengalami gejolak. Untuk itu setiap perusahaan terkhusus industri otomotif harus mampu meningkatkan kemampuannya dalam melaksanakan efisiensi di semua aspek manajemen, salah satunya adalah aspek manajemen keuangan. Manajemen keuangan yang baik dapat dilihat dari kinerja suatu perusahaan. Oleh sebab itu, tujuan utama manajemen keuangan adalah untuk memaksimalkan harga saham =====================4/62======================

dan untuk memahami kinerja perusahaan dalam laporan keuangan, yang dapat dianalisis melalui analisis rasio keuangan.