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Team project ©2017 Dony Pratidana S. Hum | Bima Agus Setyawan S. IIP Hak cipta dan penggunaan kembali: Lisensi ini mengizinkan setiap orang untuk menggubah, memperbaiki, dan membuat ciptaan turunan bukan untuk kepentingan komersial, selama anda mencantumkan nama penulis dan melisensikan ciptaan turunan dengan syarat yang serupa dengan ciptaan asli. Copyright and reuse: This license lets you remix, tweak, and build upon work non-commercially, as long as you credit the origin creator and license it on your new creations under the identical terms.

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Team project ©2017 Dony Pratidana S. Hum | Bima Agus Setyawan S. IIP 

 

 

 

 

 

Hak cipta dan penggunaan kembali:

Lisensi ini mengizinkan setiap orang untuk menggubah, memperbaiki, dan membuat ciptaan turunan bukan untuk kepentingan komersial, selama anda mencantumkan nama penulis dan melisensikan ciptaan turunan dengan syarat yang serupa dengan ciptaan asli.

Copyright and reuse:

This license lets you remix, tweak, and build upon work non-commercially, as long as you credit the origin creator and license it on your new creations under the identical terms.

67

DAFTAR LAMPIRAN

Lampiran 1: Sampel Perusahaan

Lampiran 2: Perhitungan Rumus Variabel Dependen

Lampiran 3: Perhitungan Rumus Variabel Independen

Lampiran 4: Hasil Output SPSS

Lampiran 5: Formulir Konsultasi Skripsi

Lampiran 6: Biometrika Tables

Pengaruh Profitabilitas..., Mellisa Afriliana, FB UMN, 2015

Your trial period for SPSS for Windows will expire in 14 days. GET FILE='F:\SKRIPSI PRA SIDANG\Percobaan SENIN SORE.sav'. DATASET NAME DataSet1 WINDOW=FRONT. DESCRIPTIVES VARIABLES=ROA NPM SIZE DPR /STATISTICS=MEAN SUM STDDEV RANGE MIN MAX.

Descriptives

[DataSet1] F:\SKRIPSI PRA SIDANG\Percobaan SENIN SORE.sav

Descriptive Statistics

N Range Minimum Maximum Sum Mean Std. Deviation

ROA 54 .4098 .0074 .4172 8.4335 .156175 .1044812

NPM 54 .2513 .0043 .2557 5.8911 .109095 .0563566

SIZE 54 6.2744 25.0825 31.3569 1518.0753 28.112506 1.4771507

DPR 54 1.1190 .0005 1.1195 22.4569 .415869 .3101770

Valid N (listwise) 54

LOGISTIC REGRESSION VARIABLES PERATAANLABA

/METHOD=ENTER ROA NPM SIZE DPR

/CLASSPLOT

/PRINT=GOODFIT CORR ITER(1)

/CRITERIA=PIN(0.05) POUT(0.10) ITERATE(20) CUT(0.5).

Logistic Regression

[DataSet1] F:\SKRIPSI PRA SIDANG\Percobaan SENIN SORE.sav

Case Processing Summary

Unweighted Casesa N Percent

Selected Cases Included in Analysis 54 81.8

Missing Cases 12 18.2

Total 66 100.0

Unselected Cases 0 .0

Total 66 100.0

a. If weight is in effect, see classification table for the total number of cases.

Dependent Variable Encoding

Original Value Internal Value

0 0

1 1

Pengaruh Profitabilitas..., Mellisa Afriliana, FB UMN, 2015

Block 0: Beginning Block

Iteration Historya,b,c

Iteration -2 Log likelihood

Coefficients

Constant

Step 0 1 74.563 -.148

2 74.563 -.148

a. Constant is included in the model.

b. Initial -2 Log Likelihood: 74.563

c. Estimation terminated at iteration number 2

because parameter estimates changed by less than

.001.

Classification Tablea,b

Observed

Predicted

PERATAANLABA Percentage

Correct 0 1

Step 0 PERATAANLABA 0 29 0 100.0

1 25 0 .0

Overall Percentage 53.7

a. Constant is included in the model.

b. The cut value is .500

Variables in the Equation

B S.E. Wald df Sig. Exp(B)

Step 0 Constant -.148 .273 .296 1 .587 .862

Variables not in the Equation

Score df Sig.

Step 0 Variables ROA 1.947 1 .163

NPM 5.850 1 .016

SIZE .439 1 .508

DPR .075 1 .784

Overall Statistics 6.656 4 .155

Pengaruh Profitabilitas..., Mellisa Afriliana, FB UMN, 2015

Block 1: Method = Enter

Iteration Historya,b,c,d

Iteration -2 Log likelihood

Coefficients

Constant ROA NPM SIZE DPR

Step 1 1 67.448 -1.051 .108 -12.620 .072 .571

2 67.252 -1.373 .399 -15.405 .090 .673

3 67.251 -1.400 .432 -15.632 .091 .679

4 67.251 -1.400 .432 -15.633 .091 .680

5 67.251 -1.400 .432 -15.633 .091 .680

a. Method: Enter

b. Constant is included in the model.

c. Initial -2 Log Likelihood: 74.563

d. Estimation terminated at iteration number 5 because parameter estimates changed by less than

.001.

Omnibus Tests of Model Coefficients

Chi-square df Sig.

Step 1 Step 7.312 4 .120

Block 7.312 4 .120

Model 7.312 4 .120

Model Summary

Step -2 Log likelihood

Cox & Snell R

Square

Nagelkerke R

Square

1 67.251a .127 .169

a. Estimation terminated at iteration number 5 because

parameter estimates changed by less than .001.

Hosmer and Lemeshow Test

Step Chi-square df Sig.

1 4.874 8 .771

Pengaruh Profitabilitas..., Mellisa Afriliana, FB UMN, 2015

Contingency Table for Hosmer and Lemeshow Test

PERATAANLABA = 0 PERATAANLABA = 1

Total Observed Expected Observed Expected

Step 1 1 4 4.382 1 .618 5

2 4 3.599 1 1.401 5

3 3 3.317 2 1.683 5

4 3 3.139 2 1.861 5

5 1 2.784 4 2.216 5

6 3 2.597 2 2.403 5

7 3 2.453 2 2.547 5

8 3 2.228 2 2.772 5

9 3 2.029 2 2.971 5

10 2 2.472 7 6.528 9

Classification Tablea

Observed

Predicted

PERATAANLABA Percentage

Correct 0 1

Step 1 PERATAANLABA 0 20 9 69.0

1 12 13 52.0

Overall Percentage 61.1

a. The cut value is .500

Variables in the Equation

B S.E. Wald df Sig. Exp(B)

Step 1a ROA .432 5.286 .007 1 .935 1.540

NPM -15.633 9.233 2.867 1 .090 .000

SIZE .091 .223 .168 1 .682 1.096

DPR .680 1.318 .266 1 .606 1.973

Constant -1.400 6.146 .052 1 .820 .247

a. Variable(s) entered on step 1: ROA, NPM, SIZE, DPR.

Pengaruh Profitabilitas..., Mellisa Afriliana, FB UMN, 2015

Correlation Matrix

Constant ROA NPM SIZE DPR

Step 1 Constant 1.000 .132 -.158 -.993 .294

ROA .132 1.000 -.715 -.105 -.508

NPM -.158 -.715 1.000 .079 .176

SIZE -.993 -.105 .079 1.000 -.334

DPR .294 -.508 .176 -.334 1.000

Step number: 1

Observed Groups and Predicted Probabilities

4 ┼

F │

R 3 ┼ 0 10 1

E │ 0 10 1

Q │ 0 10 1

U │ 0 10 1

E 2 ┼ 1 1 0 1 1 1 10 1 0 1 1

N │ 1 1 0 1 1 1 10 1 0 1 1

C │ 1 1 0 1 1 1 10 1 0 1 1

Y │ 1 1 0 1 1 1 10 1 0 1 1

1 ┼ 0 0 0 0 0 0 00110 0001 01 10 0001 0010 0101 0 0 1 1 1 1

1 ┼

│ 0 0 0 0 0 0 00110 0001 01 10 0001 0010 0101 0 0 1 1 1 1

1 │

│ 0 0 0 0 0 0 00110 0001 01 10 0001 0010 0101 0 0 1 1 1 1

1 │

│ 0 0 0 0 0 0 00110 0001 01 10 0001 0010 0101 0 0 1 1 1 1

1 │

Predicted ─────────┼─────────┼─────────┼─────────┼─────────┼─────────┼─────────┼─────────┼──────

───┼──────────

Prob: 0 .1 .2 .3 .4 .5 .6 .7 .8

.9 1

Group: 00000000000000000000000000000000000000000000000000111111111111111111111111111111111111

11111111111111

Predicted Probability is of Membership for 1

The Cut Value is .50

Symbols: 0 - 0

1 - 1

Each Symbol Represents .25 Cases.

Pengaruh Profitabilitas..., Mellisa Afriliana, FB UMN, 2015

LAMPIRAN 1

SAMPEL PERUSAHAAN

Pengaruh Profitabilitas..., Mellisa Afriliana, FB UMN, 2015

No. Kode Perusahaan

1 ALMI PT Alumindo Light Metal Industry Tbk

2 AMFG PT Asahimas Flat Glas Tbk

3 ARNA PT Arwana Citramulia Tbk

4 DVLA PT Darya-Varia Laboratoria Tbk

5 EKAD PT Ekadharma International Tbk

6 GGRM PT Gudang Garam Tbk

7 HMSP PT Hanjaya Mandala Sampoerna Tbk

8 INDS PT Indospring Tbk

9 LION PT Lion Metal Works Tbk

10 LMSH PT Lionmesh Prima Tbk

11 MAIN PT Malindo Feedmill Tbk

12 MERK PT Merck Tbk

13 MYOR PT Mayora Indah Tbk

14 SCCO PT Supreme Cable Manufacturing & Commerce Tbk

15 TCID PT Mandom Indonesia Tbk

16 TOTO PT Surya Toto Indonesia Tbk

17 TRST PT Trias Sentosa Tbk

18 UNVR PT Unilever Indonesia Tbk

Pengaruh Profitabilitas..., Mellisa Afriliana, FB UMN, 2015

LAMPIRAN 2

PERHITUNGAN RUMUS

VARIABEL DEPENDEN

Pengaruh Profitabilitas..., Mellisa Afriliana, FB UMN, 2015

LAMPIRAN 3

PERHITUNGAN RUMUS

VARIABEL INDEPENDEN

Pengaruh Profitabilitas..., Mellisa Afriliana, FB UMN, 2015

LAMPIRAN 4

HASIL OUTPUT SPSS

Pengaruh Profitabilitas..., Mellisa Afriliana, FB UMN, 2015

LAMPIRAN 5

FORMULIR KONSULTASI

SKRIPSI

Pengaruh Profitabilitas..., Mellisa Afriliana, FB UMN, 2015

LAMPIRAN 6

BIOMETRIKA TABLES

Pengaruh Profitabilitas..., Mellisa Afriliana, FB UMN, 2015

DAFTAR RIWAYAT HIDUP

Nama Lengkap : Mellisa Afriliana

Jenis Kelamin : Perempuan

Tempat, Tanggal Lahir : Jakarta, 09 April 1992

Agama : Katolik

Alamat : Palmerah Utara III No.96 A, Jakarta-Barat, 11480

Telepon : 08979500087/089629588072

Email : [email protected]

Pendidikan Formal

1998 – 2004 : SDN 07 Palmerah

2004 – 2007 : SMP Tarakanita 3 Jakarta

2007 – 2010 : SMA Tarakanita Gading Serpong

2010 – sekarang : Universitas Multimedia Nusantara (UMN),

Fakultas Ekonomi, Jurusan Akuntansi

Pengalaman

(Tidak ada)

Kemampuan

Memiliki kemampuan untuk mengoperasikan Microsoft Word, Microsoft Excel, dan

Microsoft Power Point, serta mampu berbahasa inggris.

Pengaruh Profitabilitas..., Mellisa Afriliana, FB UMN, 2015

PERHITUNGAN INCOME

Tahun Kode i i-1

Standar Deviasi

Income CV ΔI

2009 ALMI

26,220,835,520

4,566,862,211

21,653,973,309

AMFG

67,293,000,000

227,294,000,000

(160,001,000,000)

ARNA

63,888,414,158

54,290,317,115

9,598,097,043

2010 ALMI

43,722,582,261

26,220,835,520

17,501,746,741

19,577,860,025

1,468,033,782

0.074984384

AMFG

330,973,000,000

67,293,000,000

263,680,000,000

51,839,500,000

149,793,854,080

2.889569808

ARNA

80,114,048,978

63,888,414,158

16,225,634,820

12,911,865,932

2,343,188,452

0.181475587

2011 ALMI

54,783,500,573

43,722,582,261

11,060,918,312

14,281,332,527

2,277,176,729

0.159451278

AMFG

336,995,000,000

330,973,000,000

6,022,000,000

134,851,000,000

91,095,859,513

0.675529729

ARNA

95,949,405,045

80,114,048,978

15,835,356,067

16,030,495,444

137,984,376

0.008607618

2012 ALMI

13,949,141,063

54,783,500,573

(40,834,359,510)

(14,886,720,599)

18,347,751,430

(1.232491153)

AMFG

346,609,000,000

336,995,000,000

9,614,000,000

7,818,000,000

1,269,963,779

0.162441005

ARNA

158,684,349,130

95,949,405,045

62,734,944,085

39,285,150,076

16,581,508,361

0.422080820

Pengaruh Profitabilitas..., Mellisa Afriliana, FB UMN, 2015

PERHITUNGAN SALES

Tahun Kode s s-1

Standar Deviasi

Income CV ΔS

2009 ALMI

1,754,202,216,771

2,376,798,079,053

(622,595,862,282)

AMFG

1,912,966,000,000

2,235,021,000,000

(322,055,000,000)

ARNA

714,062,398,545

647,125,621,201

66,936,777,344

2010 ALMI

3,019,070,482,536

1,754,202,216,771

1,264,868,265,765

321,136,201,742

667,319,342,094

2.077994753

AMFG

2,426,138,000,000

1,912,966,000,000

513,172,000,000

95,558,500,000

295,297,337,765

3.090225755

ARNA

830,183,904,081

714,062,398,545

116,121,505,536

91,529,141,440

17,389,427,418

0.189987879

2011 ALMI

3,605,496,083,362

3,019,070,482,536

586,425,600,826

925,646,933,296

239,865,704,512

0.259133041

AMFG

2,596,271,000,000

2,426,138,000,000

170,133,000,000

341,652,500,000

121,282,601,556

0.354988187

ARNA

922,684,829,411

830,183,904,081

92,500,925,330

104,311,215,433

8,351,136,220

0.080059811

2012 ALMI

3,221,635,031,146

3,605,496,083,362

(383,861,052,216)

101,282,274,305

343,048,136,030

3.387050087

AMFG

2,857,310,000,000

2,596,271,000,000

261,039,000,000

215,586,000,000

32,140,124,525

0.149082614

ARNA

1,113,663,603,211

922,684,829,411

190,978,773,800

141,739,849,565

34,817,177,225

0.245641415

Pengaruh Profitabilitas..., Mellisa Afriliana, FB UMN, 2015

PERHITUNGAN PERATAAN LABA

Tahun Kode CV ΔI CV ΔS PERATAAN

LABA

2010 ALMI 0.074984384 2.077994753 1

AMFG 2.889569808 3.090225755 1

ARNA 0.181475587 0.189987879 1

2011 ALMI 0.159451278 0.259133041 1

AMFG 0.675529729 0.354988187 0

ARNA 0.008607618 0.080059811 1

2012 ALMI -1.232491153 3.387050087 1

AMFG 0.162441005 0.149082614 0

ARNA 0.422080820 0.245641415 0

Pengaruh Profitabilitas..., Mellisa Afriliana, FB UMN, 2015