LAMPIRAN 1 : Data Perusahaan Manufakturrepository.unika.ac.id/20225/8/15.G1.0035 ESTER LITA (2... · 2019. 11. 13. · 58 LAMPIRAN LAMPIRAN 1 : Data Perusahaan Manufaktur . Sektor

58

LAMPIRAN

LAMPIRAN 1 : Data Perusahaan

Manufaktur

Sektor 3: Industri dasar & kimia

31. Sub sektor Semen

1. INTP ( Indocement Tunggal Prakasa

Tbk )

2. SMBR ( Semen Baturaja Persero Tbk

)

3. SMCB ( Holcim Indonesia Tbk d.h

Semen Cibinong Tbk)

4. SMGR ( Semen Indonesia Tbk d.h

Semen Gresik Tbk )

5. WTON ( Wijaya Karya Beton Tbk )

32. Sub sektor Keramik, porselen &

kaca

1. AMFG (Asahimas Flat Glass Tbk)

2. ARNA (Arwana Citra Mulia Tbk)

3. IKAI (Inti Keramik Alam Asri

Industri Tbk)

4. KIAS (Keramika Indonesia Assosiasi

Tbk)

5. MLIA (Mulia Industrindo Tbk)

6. TOTO (Surya Toto Indonesia Tbk)

33 Sub sektor Logam & sejenisnya

1. ALKA (Alaska Industrindo Tbk)

2. ALMI (Alumindo Light Metal

Industry Tbk)

3. BAJA ( Saranacentral Bajatama Tbk

)

4. BTON (Beton Jaya Manunggal Tbk)

5. CTBN (Citra Turbindo Tbk)

6. GDST (Gunawan Dianjaya Steel

Tbk)

7. INAI (Indal Aluminium Industry

Tbk)

8. ISSP (Steel Pipe Industry of

Indonesia Tbk)

9. JKSW (Jakarta Kyoei Steel Work

LTD Tbk)

10. JPRS (Jaya Pari Steel Tbk)

11. KRAS (Krakatau Steel Tbk)

12. LION (Lion Metal Works Tbk)

13. LMSH (Lionmesh Prima Tbk)

14. NIKL (Pelat Timah Nusantara Tbk)

15. PICO (Pelangi Indah Canindo Tbk)

16. TBMS (Tembaga Mulia Semanan

Tbk)

34 Sub sektor Kimia

1. BRPT (Barito Pasific Tbk)

2. BUDI (Budi Starch and Sweetener

Tbk d.h Budi Acid Jaya Tbk)

59

3. DPNS (Duta Pertiwi Nusantara)

4. EKAD (Ekadharma International

Tbk)

5. ETWA (Eterindo Wahanatama Tbk)

6. INCI (Intan Wijaya International

Tbk)

7. SOBI (Sorini Agro Asia Corporindo

Tbk)

8. SRSN (Indo Acitama Tbk)

9. TPIA (Chandra Asri Petrochemical)

10. UNIC (Unggul Indah Cahaya Tbk)

35 Sub sektor Plastik & Kemasan

1. AKKU (Alam Karya Unggul Tbk)

2. AKPI (Argha Karya Prima Industry

Tbk)

3. APLI (Asiaplast Industries Tbk)

4. BRNA (Berlina Tbk)

5. FPNI (Lotte Chemical Titan Tbk d.h

Titan Kimia Nusantara Tbk d.h Fatra

Polindo Nusa Industri Tbk)

6. IGAR (Champion Pasific Indonesia

Tbk d.h Kageo Igar Jaya Tbk)

7. IMPC ( Impack Pratama Industri Tbk

)

8. IPOL (Indopoly Swakarsa Industry

Tbk)

9. SIAP (Sekawan Intipratama Tbk)

10. SIMA (Siwani Makmur Tbk)

11. TALF (Tunas Alfin Tbk)

12. TRST (Trias Sentosa Tbk)

13. YPAS (Yana Prima Hasta Persada

Tbk)

36 Sub sektor Pakan Ternak

1. CPIN (Charoen Pokphand Indonesia

Tbk)

2. JPFA (Japfa Comfeed Indonesia Tbk)

3. MAIN (Malindo Feedmill Tbk)

4. SIPD (Siearad Produce Tbk)

37 Sub sektor Kayu & Pengolahahnya

1. SULI (SLJ Global Tbk d.h

Sumalindo Lestari Jaya Tbk)

2. TIRT (Tirta Mahakam Resources

Tbk)

38 Sub sektor Pulp & Kertas

1. ALDO (Alkindo Naratama Tbk)

2. DAJK ( Dwi Aneka Jaya Kemasindo

Tbk )

3. FASW (Fajar Surya Wisesa Tbk)

4. INKP (Indah Kiat Pulp & paper Tbk)

5. INRU (Toba Pulp Lestari Tbk)

6. KBRI (Kertas Basuki Rachmat

Indonesia Tbk)

7. KDSI ( Kedaung Setia Industrial Tbk

) pindah dari sub sektor peralatan

rumah tangga (55).

60

8. SPMA (Suparma Tbk)

9. TKIM (Pabrik Kertas Tjiwi Kimia

Tbk)

Sektor 4: Aneka industri

41. Mesin dan alat berat

1. AMIN ( Ateliers Mecaniques

D'Indonesie Tbk ) baru IPO 10-Des-

2015

2. KRAH ( Grand Kartech Tbk )

42. Otomotif & Komponen

1. ASII (Astra International Tbk)

2. AUTO (Astra Auto Part Tbk)

3. BOLT ( Garuda Metalindo Tbk ) baru

IPO 07-Jul-2015

4. BRAM (Indo Kordsa Tbk d.h Branta

Mulia Tbk )

5. GDYR (Goodyear Indonesia Tbk)

6. GJTL (Gajah Tunggal Tbk)

7. IMAS (Indomobil Sukses

International Tbk)

8. INDS (Indospring Tbk)

9. LPIN (Multi Prima Sejahtera Tbk d.h

Lippo Enterprises Tbk)

10. MASA (Multistrada Arah Sarana

Tbk)

11. NIPS (Nippres Tbk)

12. PRAS (Prima alloy steel Universal

Tbk)

13. SMSM (Selamat Sempurna Tbk)

43. Tekstil & Garment

1. ADMG (Polychem Indonesia Tbk)

2. ARGO (Argo Pantes Tbk)

3. CNTX (Centex Tbk)

4. ERTX (Eratex Djaya Tbk)

5. ESTI (Ever Shine Textile Industry

Tbk)

6. HDTX (Panasia Indo Resources Tbk

d.h Panasia Indosyntec Tbk)

7. INDR (Indo Rama Synthetic Tbk)

8. MYTX (Apac Citra Centertex Tbk)

9. PBRX (Pan Brothers Tbk)

10. POLY (Asia Pasific Fibers Tbk d.h

Polysindo Eka Persada Tbk)

11. RICY (Ricky Putra Globalindo Tbk)

12. STAR (Star Petrochem Tbk)

13. TFCO (Tifico Fiber Indonesia Tbk)

14. SRIL (Sri Rejeki Isman Tbk)

15. SSTM (Sunson Textile

Manufacturer Tbk)

16. TRIS (Trisula International Tbk)

17. UNIT (Nusantara Inti Corpora Tbk)

44. Alas kaki

1. BATA (Sepatu Bata Tbk)

61

2. BIMA (Primarindo Asia

Infrastructure Tbk)

45. Kabel

1. IKBI (Sumi Indo Kabel Tbk)

2. JECC (Jembo Cable Company Tbk)

3. KBLI (KMI Wire and Cable Tbk)

4. KBLM (Kabelindo Murni Tbk)

5. SCCO (Supreme Cable

Manufacturing and Commerce Tbk)

6. VOKS (Voksel Electric Tbk)

46. Elektronika

1. PTSN (Sat Nusa Persada Tbk)

[tabby title="Industri Barang

Konsumsi"]

Sektor 5: Industri Barang Konsumsi

51. Makanan & Minuman

1. AISA (Tiga Pilar Sejahtera Food

Tbk)

2. ALTO (Tri Banyan Tirta Tbk)

3. CEKA (Cahaya Kalbar Tbk)

4. DLTA (Delta Djakarta Tbk)

5. ICBP (Indofood CBP Sukses

Makmur Tbk)

6. INDF (Indofood Sukses Makmur

Tbk)

7. MLBI (Multi Bintang Indonesia Tbk)

8. MYOR (Mayora Indah Tbk)

9. PSDN (Prashida Aneka Niaga Tbk)

10. ROTI (Nippon Indosari Corporindo

Tbk)

11. SKBM (Sekar Bumi Tbk)

12. SKLT (Sekar Laut Tbk)

13. STTP (Siantar Top Tbk)

14. ULTJ (Ultrajaya Milk Industry and

Trading Company Tbk)

52. Rokok

1. GGRM (Gudang Garam Tbk)

2. HMSP (Hanjaya Mandala Sampoerna

Tbk)

3. RMBA (Bentoel International

Investama Tbk)

4. WIIM (Wismilak Inti Makmur Tbk)

53. Farmasi

1. DVLA (Darya Varia Laboratoria

Tbk)

2. INAF (Indofarma Tbk)

3. KAEF (Kimia Farma Tbk)

4. KLBF (Kalbe Farma Tbk)

5. MERK (Merck Tbk)

6. PYFA (Pyridam Farma Tbk)

7. SCPI (Schering Plough Indonesia

Tbk)

62

8. SIDO ( Industri Jamu dan Farmasi

Sido Muncul Tbk )

9. SQBI & SQBB (Taisho

Pharmaceutical Indonesia Tbk)

10. TSPC (Tempo Scan Pasific Tbk)

54. Kosmetik & Barang keperluan

rumah tangga

1. ADES ( Akasha Wira International

Tbk d.h Ades Waters Indonesia

Tbk) baru pindah sektor.

2. KINO ( Kino Indonesia Tbk ) baru

IPO 11-Des-2015.

3. MBTO (Martina Berto Tbk)

4. MRAT (Mustika Ratu Tbk)

5. TCID (Mandom Indonesia Tbk)

6. UNVR (Unilever Indonesia Tbk)

55. Peralatan rumah tangga

1. CINT ( Chitose Internasional Tbk )

2. KICI (Kedaung Indag Can Tbk)

3. LMPI (Langgeng Makmur Industry

Tbk)

63

Catatan manufaktur 2015

1.IPO baru dan Relisting:

− AMIN ( Ateliers Mecaniques D'Indonesie Tbk ) baru IPO 10-Des-2015

− BOLT ( Garuda Metalindo Tbk ) baru IPO 07-Jul-2015

− KINO ( Kino Indonesia Tbk ) baru IPO 11-Des-2015.

2.Ganti sektor ( bisa karena ganti core bussiness, merger atau akuisisi ) :

ADES | Akasha Wira International Tbk (d.h Ades Waters Indonesia Tbk)

pindah

dari sub sektor Makanan dan minuman (51) ke sub sektor kosmetik dan

keperluan rumah tangga (54). Lihat Pindah klasifikasi industri 2014.

ITMA | Sumber Energi Andalan Tbk ( d.h Itamaraya Tbk, d.h Itamaraya Gold

Industri Tbk ) pindah ke sub sektor Perdagangan, Jasa dan Investasi lainnya

(99).

KDSI | Kedaung Setia Industrial Tbk pindah dari sub sektor pelatana rumah

tangga (55).

MYRX |Hanson International Tbk pindah ke sub sektpr Perusahaan Investasi

(98).

3. Laporan Keuangan yang tidak dapat diakses :

JPRS, SOBI, AKKU, SPID, AMIN, ISSP, MARK, MDKI, SIDO, PICO

Catatan Manufaktur 2016

1.Listing pada tahun 2016: WSBP

2.Laporan keuangan yang tidak dapat diakses : JPRS, SOBI, AKKU, SPID

Catatan Manufaktur 2017

1.Listing pada tahun 2017 : BELL, CAMP, CLEO,GMFI, HOKI, PBID, PCAR, WOOD

2.Delisting pada tahun 2017: SOBI

3.Laporan keuangan yang tidak dapat diakses:

JPRS, AKKU, SPID, SCPI, MLIA, LPIN, BATA, INAF

64

LAMPIRAN 2 : Omset Perusahaan manufaktur

Perusahaan 2015 2016 2017

ADES 669.725.000.000 887.663.000.000 814.490.000.000

ADMG

AISA 6.010.895.000.000 6.545.680.000.000 4.920.632.000.000

AKPI 2.017.466.511.000 2.047.218.639.000 2.047.218.639.000

ALDO 538.363.112.800 666.434.061.412 708.740.551.637

ALKA 759.146.492.000 1.151.606.756.000 1.932.783.905.000

ALMI 3.333.329.653.540 2.461.800.368.336 3.484.905.171.484

ALTO 301.781.831.914 296.471.502.365 262.143.990.839

AMFG 3.665.989.000.000 3.724.075.000.000 3.885.791.000.000

AMIN xxx 150.329.488.765 213.761.005.553

APLI 319.727.703.679 260.667.211.707 382.238.397.027

ARGO

ARNA 1.511.978.367.218 1.291.926.384.471 732.985.361.870

ASII 181.084.000.000.000 184.196.000.000.000 206.057.000.000.000

AUTO 11.723.767.000.000 12.806.867.000.000 135.498.570.000.000

BAJA 1.251.193.634.272 978.840.639.564 1.218.317.826.843

BATA 1.028.850.578.000 999.802.379.000 XXX

BELL 446.128.910.614

BIMA 222.363.830.677 172.109.865.924 153.713.878.373

BOLT 858.650.225.152 888.942.483.043 1.047.701.082.078

BRAM

BRNA 1.278.353.442.000 1.364.849.405.000 1.310.440.496.000

BRPT

BTON 67.679.530.150 62.760.109.860 88.010.862.980

BUDI 2.378.805.000.000 2.467.553.000.000 2.510.578.000.000

CAMP 944.837.322.446

CEKA 3.485.733.830.354 4.115.541.761.173 4.257.738.486.908

CINT 315.229.890.328 327.426.146.630 373.955.852.243

CLEO 614.677.561.202

CNTX

CPIN 29.920.628.000.000 38.256.857.000.000 49.367.386.000.000

CTBN

DLTA 1.573.137.749.000 774.968.268.000 777.308.328.000

DPNS 118.475.319.120 115.940.711.050 111.294.849.755

DVLA 1.306.098.136.000 1.451.356.680.000 1.575.647.308.000

EKAD 531.537.606.573 568.638.832.579 643.591.823.505

ERTX

ESTI

ETWA 395.798.115.446 243.013.782.107 51.671.051.196

FASW 4.959.998.929.211 5.874.745.032.615 7.337.185.138.762

65


FPNI

GDST 913.792.626.540 757.282.528.180 1.228.528.694.746

GDYR

GGRM 70.365.573.000.000 76.274.147.000.000 83.305.925.000.000

GJTL 12.970.237.000.000 13.633.556.000.000 14.146.918.000.000

GMFI

HDTX 1.401.541.455.000 1.647.106.585.000 1.293.363.942.000

HMSP 89.069.306.000.000 95.466.657.000.000 99.091.484.000.000

HOKI 1.209.215.316.632

ICBP 31.741.094.000.000 34.466.069.000.000 35.606.593.000.000

IGAR 677.331.846.043 792.794.834.768 761.926.952.217

IKAI 141.199.773.647 83.772.635.083 13.297.423.000

IKBI

IMAS 18.009.979.783.215 15.049.532.331.662 15.359.437.288.255

IMPC 1.147.838.378.766 1.135.296.191.546 1.193.054.430.825

INAF 1.621.898.667.657 1.674.702.722.328 XXX

INAI 1.384.675.922.166 1.284.510.320.664 980.285.748.450

INCI 136.668.408.270 176.067.561.639 269.706.737.385

INDR

INDS 1.659.505.639.261 1.637.036.790.119 1.967.982.902.772

INKP

INRU

INTP 17.798.055.000.000 15.361.894.000.000 14.431.211.000.000

IPOL

ISSP XXX 3.259.200.000.000 3.662.810.000.000

JECC 1.663.335.876.000 2.037.784.842.000 2.184.518.893.000

JKSW 143.408.228.411 256.234.745.701 11.818.781.048

JPFA 25.022.913.000.000 27.063.310.000.000 29.602.688.000.000

KAEF 4.860.371.483.524 5.811.502.656.431 6.127.479.369.403

KBLI 2.662.038.531.021 2.812.196.217.447 3.186.704.707.526

KBLM 967.710.339.797 987.409.109.474 1.215.476.677.995

KBRI 241.207.422.568 161.367.353.686 144.027.720.203

KDSI 1.713.946.192.967 1.995.337.146.834 2.245.519.457.754

KIAS 800.392.000.000 863.715.000.000 810.064.124.425

KICI 91.734.724.118 99.382.027.031 113.414.715.049

KINO 3.603.847.602.517 3.493.028.761.680 3.160.637.269.263

KLBF 17.887.464.223.321 19.372.230.957.505 3.160.637.269.263

KRAH 283.205.794.372.000 312.547.508.818 xxx

KRAS

LION 389.251.192.409 379.137.149.036 349.690.796.141

LMPI 452.693.585.202 411.945.398.299 411.144.165.006

LMSH 174.598.965.938 157.855.084.036 224.371.164.551

66


LPIN 77.790.171.689 141.746.864.032 XXX

MAIN 4.775.014.772.000 5.246.340.041.000 5.441.395.835.000.000

MARK xxx 207.224.050.595 239.786.317.679

MASA

MBTO 694.782.752.351 685.443.920.925 731.577.343.628

MDKI xxx 368.174.000.000 339.985.000.000

MERK 983.446.471.000 1.034.806.890.000 1.156.648.155.000

MLBI 2.696.318.000.000 3.263.311.000.000 3.389.736.000.000

MLIA 5.713.989.433.000 5.793.737.618.000 XXX

MPPA 13.802.450.000.000 13.527.323.000.000 12.562.780.000.000

MRAT 428.092.732.505 344.361.345.265 344.676.666.245

MYOR 14.818.730.635.647 18.349.959.898.358 20.816.673.946.473

MYTX 1.891.190.000.000 1.296.753.000.000 1.840.409.000.000

NIKL

NPIS 987.862.830.000 1.039.635.856.000 1.077.046.664.000

PBID 3.490.087.264

PBRX

PCAR 135.431.651.945

pico xxx 705.730.705.044 747.064.722.530

POLY

PRAS 469.645.085.526 366.709.612.329 348.471.154.143

PSDN 884.906.826.184 932.905.806.441 1.399.580.416.996

PTSN

PYFA 217.843.921.422 216.951.583.953 223.002.490.276

RICY 1.111.051.293.008 1.221.519.096.811 1.600.432.168.096

RMBA 16.814.352.000.000 19.228.981.000.000 20.258.870.000.000

ROTI 2.174.501.712.899 2.521.920.968.213 2.491.100.179.560

SCCO 3.553.081.041.052 3.742.637.722.322 4.440.404.595.541

SCPI 2.260.571.967.000 2.399.834.508.000 xxx

SIAP 243.495.193.479 24.836.291.703 920.847.295

sido xxx 2.561.806.000.000 2.573.840.000.000

SIMA 7.614.180.845 2.913.150.000 3.748.725.250

SKBM 1.362.245.580.664 1.501.115.928.446 1.501.115.928.446

SKLT 745.107.731.208 833.850.372.883 914.188.759.779

SMBR 1.461.248.284.000 1.552.808.093.000 1.551.524.990.000

SMCB 9.239.022.000.000 9.458.403.000.000 9.382.120.000.000

SMGR 26.948.004.471.000 26.134.306.138.000 27.813.664.176.000

SMSM 2.802.924.000.000 2.879.876.000.000 3.339.964.000.000

SPMA 1.621.516.334.166 1.932.435.078.255 2.093.137.904.266

SRIL

SRSN 531.573.325.000 500.539.668.000 521.481.727.000

SSTM 506.180.498.366 436.691.203.876 343.842.837.211

67


STTP 2.554.277.844.656 2.629.107.367.897 2.825.409.180.889

SULI

TALF 476.383.633.793 569.419.992.907 646.087.885.410

TBIG 3.421.177.000.000 3.711.174.000.000 4.023.085.000.000

TBMS

TCID 2.314.889.854.074 2.526.776.164.168 2.706.394.847.919

TFCO

TIRT 852.780.085.776 843.528.979.435 795.611.411.050

TKIM

TOTO 2.278.673.871.193 2.069.017.634.710 2.171.861.931.164

TPIA

TRIS 859.743.472.895 901.909.489.240 773.806.956.330

TRST 2.457.349.444.991 2.249.418.846.803 2.354.938.016.436

TSPC 8.181.481.867.179 9.138.238.993.842 9.565.462.045.199

ULTJ 4.393.932.684.171 4.685.987.917.355 4.879.559.000.000

UNIC

UNIT 118.260.140.740 104.109.821.503 103.245.048.266

UNVR 36.484.030.000.000 40.053.732.000.000 41.204.510.000.000

VOKS 1.597.736.461.981 2.022.350.276.358 2.256.316.807.862

WIIM 1.839.419.574.956 1.685.795.530.617 1.476.427.090.781

WOOD 1.734.702.205.527

WSBP'16 4.717.150.071.779 7.104.157.901.230

WTON 2.652.622.140.207 3.481.731.506.128 5.362.263.237.776

YPAS 277.402.566.627 278.331.887.681 302.591.131.450

xxx Tidak dapat diakses

listing 2017

dollar

listing 2016

omset dibawah Rp 50M

LAMPIRAN 3 : Perusahaan tidak memiliki beban pajak (JKSW)

68

LAMPIRAN 4 : Data sebelum diolah

Perusahaan Y LEV PROF LIK KI

ADES 27,01075 49,73103 5,027219 138,6023 33,33333

AISA 25,31498 56,21989 4,12483 162,2871 40

AKPI 45,94198 61,58477 0,958815 103,0634 33,33333

ALDO 25,80518 53,29949 6,578764 134,4415 33,33333

ALKA 382,3206 57,10927 -0,81243 90,02245 0

AMFG -26,4757 20,60879 7,993537 465,4344 33,33333

APLI 20,38599 28,20912 0,600739 117,8453 50

ARNA 25,44579 37,46567 4,976939 102,0687 50

ASII 20,46358 48,44541 6,361358 139,2421 30

AUTO 25,57565 29,26042 2,250495 132,2916 37,5

BATA 1,040272 31,19378 16,28641 247,0991 50

BIMA 295,1759 302,9099 -0,77442 93,02445 66,66667

BOLT 26,51805 17,20935 10,63338 439,1026 33,33333

BRNA -194,95 54,52981 -0,39318 105,2098 40

BTON 18,9702 18,57402 3,453002 435,7628 50

BUDI 58,77688 66,15839 0,645202 100,0842 33,33333

CEKA 25,10829 56,93352 7,171028 153,4677 33,33333

CINT 27,6837 17,69403 7,700225 348,077 50

CPIN 20,54862 4,87504 0,698144 210,6176 33,33333

DLTA 23,24263 18,17355 18,49571 642,3682 40

DPNS 16,05502 12,09073 3,591844 1335,009 33,33333

DVLA 25,30037 29,26451 7,83955 352,2906 42,85714

EKAD 29,05679 25,07878 12,07107 356,8799 33,33333

GGRM -25,2736 40,15013 10,16108 177,0359 50

HMSP -25,6185 15,77098 36,65451 656,7448 33,33333

ICBP 0,027097 38,30374 11,00557 232,6008 50

IGAR 18,69204 19,13652 13,39182 496,0974 33,33333

IMAS 9,719802 73,06181 -0,09046 93,5311 42,85714

IMPC 11,93243 34,52373 7,745729 227,1272 50

INAF 53,68153 61,35453 0,428047 126,1507 33,33333

INAI 49,89732 81,97186 2,151085 100,3504 50

INCI 11,7581 9,139113 10,00318 967,6951 33,33333

INDS 53,22394 24,85931 0,075687 223,1266 33,33333

INTP 22,81686 13,64918 15,7631 488,6574 33,33333

JECC 70,99138 72,92854 0,181381 105,0051 50

JPFA 24,82424 64,39463 3,056529 179,4274 50

KAEF 25,17717 42,46081 8,20552 193,023 40

KBLI 23,11106 33,79546 7,434657 284,7607 33,33333

KBLM 40,57385 54,69402 1,949919 105,7301 66,66667

KDSI 22,96604 67,80869 9,795549 115,6607 33,33333

69


KICI 579,63 30,23193 -9,71367 574,3957 33,33333

KINO 21,94657 44,67456 8,189373 161,8793 50

KLBF 24,33722 20,13761 15,02359 369,7775 33,33333

LION 21,2708 28,89447 7,197848 380,2302 33,33333

LMPI 42,27196 49,4118 0,500319 125,9554 50

LMSH 48,92684 15,95195 1,453099 808,9127 33,33333

MERK 26,50054 26,19883 22,21549 365,2179 33,33333

MLBI 26,44618 63,51577 23,65273 53,53056 50

MPPA 18,41398 55,90242 3,522936 141,087 42,85714

MRAT 53,6347 24,15337 0,210224 370,2579 33,33333

MYOR 23,78926 54,20444 11,02234 236,5337 40

NPIS 26,53949 60,6516 1,981689 104,7323 33,33333

PRAS 23,9907 52,95787 0,42024 100,5032 66,66667

PSDN -29,0177 47,72413 -6,86961 121,0742 33,33333

PYFA 32,225 37,34183 1,929954 199,1186 50

RICY 39,87941 66,60983 1,123775 118,5576 33,33333

ROTI 2,832219 56,08305 9,996512 205,3422 33,33333

SCCO 22,77855 47,98212 8,973834 168,5817 33,33333

SCPI 29,76691 93,32304 9,221988 127,5384 33,33333

SIAP -5,42301 91,28936 -13,2555 107,3316 50

SKBM 25,13392 54,99095 5,251908 114,5122 33,33333

SKLT 26,69997 59,68163 5,32098 119,2455 33,33333

SMBR 20,12434 9,768964 10,83561 757,2675 40

SMCB 43,07142 51,2177 1,151674 65,23847 42,85714

SMGR 22,65424 28,07718 11,86126 160,6708 28,57143

SMSM 20,97078 35,12712 20,77858 239,3789 50

SRSN 25,15066 40,76015 2,700702 216,7071 50

STTP 19,95652 47,44604 9,674312 157,887 50

TALF 22,57113 19,34732 7,765137 437,6359 33,33333

TBIG -32,669 93,02272 6,381789 136,0907 50

TCID 6,627716 17,63727 26,15027 499,1109 40

TIRT 204,356 88,05492 -0,11334 108,5129 50

TOTO 25,2473 38,85969 11,6922 240,6744 40

TRIS 24,87141 42,68124 7,693098 188,7539 33,33333

TRST 50,45952 41,71252 0,753985 130,8475 33,33333

TSPC 25,15762 30,98921 8,420697 253,7551 60

ULTJ 25,34341 20,97432 14,77685 374,5477 33,33333

UNIT 76,76928 47,24138 0,083598 59,62395 50

UNVR 25,25944 69,31102 37,20169 65,39705 80

VOKS 88,42226 66,82476 0,018031 116,8135 33,33333

WIIM 26,34359 29,71557 9,762493 289,3757 33,33333

WTON 13,9072 49,2061 3,855032 136,8808 42,85714

70


ADES 9,223506 49,9155 7,290232 163,5139 33,33333

AISA 19,94622 53,92099 7,771624 237,5551 40

AKPI 31,0177 57,18372 2,00286 112,8758 33,33333

ALDO 25,46086 51,04245 6,148451 147,8303 33,33333

ALKA -86,579 55,27342 0,377693 91,88934 0

ALMI -9,76534 81,24992 -4,64141 85,4528 50

ALTO -81,2667 58,72934 -2,27449 75,35328 50

AMFG 25,28022 34,61697 4,731139 201,983 33,33333

AMIN 25,48981 40,04167 7,434285 220,8115 50

APLI 25,09921 21,61326 7,984571 149,5186 50

ARNA 26,21353 38,56414 5,921077 134,8825 50

ASII 17,75491 46,57119 6,989364 123,9383 30

AUTO 25,50227 27,89241 3,308321 150,512 37,5

BAJA 35,82462 80,00228 5,453951 96,65062 33,33333

BATA 35,32871 30,7661 5,247762 257,0101 50

BIMA 41,71212 205,579 18,91548 94,20178 66,66667

BOLT 26,11968 13,19811 11,90246 768,0692 33,33333

BRNA 38,09353 50,76581 0,606311 151,8797 40

BUDI 27,25755 60,26403 1,317413 100,1415 33,33333

CEKA 12,64076 37,73195 17,51075 218,93 33,33333

CINT 26,81158 18,25701 5,163308 316,0344 50

CPIN 43,47378 41,51107 9,303093 217,277 33,33333

DLTA 22,17976 15,48034 21,24809 760,388 40

DPNS 19,25845 11,09817 3,379934 1516,447 33,33333

DVLA 29,07122 29,50216 9,931199 285,4933 42,85714

EKAD 23,43895 15,72991 12,90489 488,5603 33,33333

ETWA -3,74308 99,3872 -19,0018 48,59453 50

FASW 5,892719 63,20214 9,064333 107,5123 33,33333

GDST 30,3413 33,83298 2,520972 124,0376 50

GGRM 25,28742 37,15139 10,5997 193,7891 50

GJTL 24,14029 68,72261 3,350992 173,0545 30

HMSP 24,97858 19,60386 24,37951 523,4131 33,33333

ICBP 27,21756 35,98763 12,56421 240,6782 50

IGAR 27,63672 14,95383 15,77028 582,1944 33,33333

IMAS -9,24625 73,82387 -1,2206 92,41747 42,85714

IMPC 23,64924 46,14992 5,528174 377,2268 50

INAI 38,80461 80,73116 2,655052 100,2944 50

INCI 24,8663 9,847745 3,708173 581,5034 33,33333

INDS 17,59848 16,51853 2,000425 303,2737 33,33333

INTP 6,641038 13,30614 12,83663 452,5028 33,33333

ISSP 26,03253 56,22079 1,703546 115,9443 40

JECC 24,51317 70,36695 8,343125 114,0235 50

71


JPFA 21,506 51,31187 11,28048 213,0169 50

KAEF 29,0915 50,75605 5,888201 171,3667 40

KBLI 13,41282 29,39353 17,86545 341,0645 33,33333

KBLM 42,54144 49,82639 3,324253 130,1632 66,66667

KDSI 26,0143 63,25012 4,125721 123,1923 33,33333

KIAS -52,1748 16,71834 -13,5776 313,3357 33,33333

KICI 37,17214 36,33457 0,258925 534,5426 33,33333

KINO 17,41932 40,56722 5,514075 153,6854 50

KLBF 23,94883 18,17392 15,43992 413,1144 33,33333

KRAH 81,3488 70,24463 0,137963 112,4952 50

LION 22,54557 32,66633 6,427469 355,8643 33,33333

LMPI 38,00977 49,63109 0,85554 150,5628 50

LMSH 33,6503 27,95097 3,839634 277,0105 33,33333

MAIN 3,774822 53,12026 7,404272 129,0115 60

MARK 28,6334 52,83701 11,45919 108,4495 50

MBTO 25,18938 37,89402 1,241339 304,448 33,33333

MDKI -7,02776 26,66667 26,36914 211,6161 40

MERK 28,41727 21,67689 20,67949 421,6602 33,33333

MLBI 25,60677 63,92851 42,29068 67,9548 50

MPPA 61,94022 63,74473 0,574225 123,0536 42,85714

MRAT -35,9396 23,58991 -1,14877 397,0641 33,33333

MYOR 24,76086 51,5164 10,74625 225,0172 40

NPIS 25,83719 52,60957 3,694298 121,822 33,33333

pico 237,6923 57,22121 2,269914 167,3217 33,33333

PRAS 167,7836 56,59152 -0,1685 100,7117 66,66667

PSDN -262,29 57,12951 -5,60755 105,9805 33,33333

PYFA 27,03786 36,84478 3,080275 219,0805 50

RICY 39,93168 67,99068 1,08894 114,8684 33,33333

RMBA -49,9107 29,9131 -15,4838 240,1883 100

ROTI 24,26513 50,58461 9,582582 296,2272 33,33333

SCCO 22,52229 50,18562 13,95976 168,9475 33,33333

SCPI 39,60436 83,18343 9,671139 533,8799 33,33333

sido 23,61489 7,68938 16,08391 831,8226 40

SKBM 26,82411 63,22204 2,25077 110,7233 33,33333

SKLT 17,96093 47,88276 3,633324 131,5316 33,33333

SMBR 25,82166 28,56842 5,930357 286,832 40

SMCB -65,425 59,21398 -1,43997 45,93861 42,85714

SMGR 10,80876 30,86924 10,25402 127,2519 28,57143

SMSM 23,70315 29,92296 22,27272 286,0253 50

SPMA 27,20499 48,52048 3,755587 246,3029 60

SRSN -554,839 43,93725 1,541658 174,2568 50

STTP 20,00934 49,98688 7,454853 165,4478 50

72


TALF 26,57532 14,71952 3,418161 292,2899 33,33333

TBIG 4,586528 93,12395 5,509645 67,6105 50

TCID 26,82742 18,39471 7,416545 525,9542 40

TIRT 21,93317 84,45975 3,552464 112,4962 50

TOTO 32,92854 40,96805 6,529841 218,9948 40

TRIS 47,41514 45,81422 3,941373 164,171 33,33333

TRST -45,6991 41,27644 1,026987 129,7018 33,33333

TSPC 24,12723 29,61724 8,282857 265,2141 60

ULTJ 23,87788 17,69122 16,74431 484,3633 33,33333

UNIT 55,06218 43,63255 0,198654 64,86069 50

UNVR 25,44613 71,90766 38,16307 60,56319 80

VOKS 28,66045 59,89456 9,593816 133,356 33,33333

WIIM 22,22452 26,78279 7,852196 339,4226 33,33333

WSBP'16 34,37503 46,08011 4,622154 170,6269 60

WTON 17,24917 46,58292 6,039204 130,9124 42,85714

ADES 25,1551 49,65569 4,55134 120,1545 33,33333

AKPI 58,08707 58,96251 0,485662 104,3427 33,33333

ALDO 24,82121 53,99597 5,822114 144,0449 33,33333

ALKA 4,090874 74,28287 5,047689 129,8062 0

ALMI -79,0812 84,05614 0,355429 102,4897 50

AMFG 39,34643 43,37937 0,61535 200,9545 33,33333

AMIN 23,79164 49,53284 8,936122 178,3038 50

APLI 29,70883 43,01867 3,101839 171,655 50

ARNA 26,48555 35,71662 7,630014 162,6247 50

ASII 20,65694 4,712291 7,835384 122,8632 30

AUTO 23,05755 29,2381 3,710673 155,8671 37,5

BELL 26,10137 48,30534 3,208395 177,4693 50

BIMA 44,89018 194,7507 17,68222 97,84533 66,66667

BOLT 27,10142 39,37772 7,841948 312,7025 33,33333

BTON 22,84126 15,72898 6,196118 547,4758 50

BUDI 25,11636 59,35643 1,554403 100,7356 33,33333

CAMP 25,62749 30,81883 3,585001 1582,232 33,33333

CEKA 24,98329 35,15578 7,71343 222,4388 33,33333

CINT 22,62752 19,78774 6,221017 318,9957 50

CLEO 19,93244 54,91574 7,591411 123,3955 33,33333

CPIN 23,3104 3,928232 1,112043 231,6555 33,33333

DLTA 24,1835 14,63236 20,86538 863,9505 40

DPNS 21,2048 13,17899 1,932958 962,1356 33,33333

DVLA 28,25524 31,96968 9,88789 266,2126 42,85714

EKAD 25,77089 16,81167 9,56301 451,917 33,33333

FASW 27,73244 64,90549 6,35939 74,17946 33,33333

GDST 53,05008 34,31938 0,799096 115,1251 50

73


GGRM 25,69024 36,80691 11,61677 193,5536 50

GJTL 5,784842 68,72403 0,247527 162,9934 30

HDTX -20,8543 91,73413 -20,9921 22,87035 33,33333

HMSP 25,00338 20,9269 29,37001 534,4387 33,33333

HOKI 25,50354 17,50248 8,31317 456,6974 33,33333

ICBP 31,94792 35,72219 1,120109 242,8285 50

IGAR 24,42245 13,85435 14,10775 650,224 33,33333

IMAS 143,309 70,41861 -0,20493 83,77384 42,85714

IMPC 18,05759 43,82565 3,978904 360,5558 50

INAI 24,17263 77,14794 3,18399 99,25027 50

INCI 25,01734 11,65583 5,449195 510,169 33,33333

INDS 29,12627 11,90323 4,667634 512,5429 33,33333

INTP 18,68845 14,92245 6,443455 370,3071 33,33333

ISSP 57,73862 54,68535 0,137717 150,5322 40

JECC 25,32461 71,60969 4,323426 106,0834 50

JPFA 36,35452 53,55072 5,253055 234,5947 50

KAEF 4,002992 57,80088 5,441255 154,5507 40

KBLI 16,3006 40,71371 11,91116 197,4419 33,33333

KBLM 1,239588 35,927 3,561693 126,3377 66,66667

KDSI 26,13224 63,44629 5,192006 118,6374 33,33333

KICI 25,29773 38,76456 5,317896 729,4792 33,33333

KINO 22,18239 36,52168 3,388194 114,897 50

KLBF 24,31009 16,38282 14,76418 450,9401 33,33333

LION 5,365414 33,6733 1,361121 327,1347 33,33333

LMSH 25,85236 19,57087 8,045891 428,1958 33,33333

MAIN 1,017136 58,2257 1,195851 90,86125 60

MARK 26,95461 26,6942 20,67531 244,4165 50

MDKI 20,5737 12,10305 5,429586 445,3214 40

MERK 29,6948 27,21969 17,07976 308,0969 33,33333

MLBI 25,72741 57,57482 52,67036 82,57292 50

MYOR 25,42113 50,69442 10,93436 238,6028 40

NPIS -26,0856 53,66019 2,324072 117,3664 33,33333

pico 245,1735 61,16789 2,335891 150,5522 33,33333

PRAS 180,5282 56,14144 -0,20918 95,71386 66,66667

PSDN 40,09423 56,65794 4,652812 115,9003 33,33333

PYFA 25,75066 31,7791 4,466546 352,2769 50

RICY 35,84152 68,69529 1,204704 118,8492 33,33333

RMBA 19,97766 36,63785 -3,40867 192,094 100

ROTI 27,28125 38,14979 2,968786 225,8556 33,33333

SCCO 2,191437 31,90122 6,719321 174,2055 33,33333

sido 21,71761 8,306414 16,90201 781,2213 40

SKBM 18,51501 39,15009 1,689265 163,535 33,33333

74


SKLT 97,33997 51,66152 3,610023 126,3063 33,33333

SMBR 29,81554 32,55667 2,897989 167,9957 40

SMCB -9,7892 63,33026 -3,86237 54,35688 42,85714

SMGR 25,61473 37,83318 4,172547 156,7751 28,57143

SMSM 22,93107 25,17688 22,73068 373,9132 50

SPMA 23,92966 45,40019 4,274494 102,2439 60

SRSN 6,69844 36,34312 2,711398 213,1664 50

STTP 25,13353 40,88315 9,22221 264,0902 50

TALF 32,82301 1,683552 0,23303 275,1216 33,33333

TBIG -157,705 87,55623 9,138337 99,16398 50

TCID 26,31062 21,31762 7,584278 491,3182 40

TIRT 57,10653 85,59035 0,11649 114,8329 50

TOTO 26,14119 40,07439 9,868597 229,5452 40

TRIS 34,9689 34,63268 26,05437 192,2589 33,33333

TRST -205,263 40,7253 1,146117 122,8523 33,33333

TSPC 25,09785 31,64659 7,496254 252,1378 60

ULTJ 30,65099 18,85861 13,72063 419,1915 33,33333

UNIT 31,00528 42,47945 0,249071 73,89771 50

UNVR 25,25805 72,63686 37,0486 63,36931 80

VOKS 27,81313 61,41905 7,876347 132,2625 33,33333

WIIM 25,51144 20,20222 3,311463 535,5847 33,33333

WOOD 26,7002 52,98866 3,872658 112,2463 50

WSBP'16 13,48376 50,95927 6,704827 152,4337 60

WTON 18,84206 61,12133 4,816909 103,2033 42,85714

LAMPIRAN 5 : Data spps sebelum data normal/diolah

Descriptive Statistics

N Minimum Maximum Mean Std. Deviation

PP 274 -554,84 579,63 24,9211 71,08718

LEV 274 1,68 302,91 45,0356 29,09550

PROF 274 -20,99 52,67 6,7864 8,61953

LIK 274 22,87 1582,23 252,5688 219,48512

KI 274 ,00 100,00 41,5385 12,09760

Valid N (listwise) 274

75

Regression

Variables Entered/Removeda

Model Variables

Entered

Variables

Removed

Method

1 KI, PROF, LIK,

LEVb

. Enter

a. Dependent Variable: PP

b. All requested variables entered.

Model Summaryb

Model R R Square Adjusted R

Square

Std. Error of the

Estimate

Durbin-Watson

1 ,198a ,039 ,023 70,20200 2,023

a. Predictors: (Constant), KI, PROF, LIK, LEV

b. Dependent Variable: PP

ANOVAa

Model Sum of Squares df Mean Square F Sig.

1

Regression 51710,111 4 12927,528 2,619 ,035b

Residual 1327864,391 269 4936,299

Total 1379574,503 273


b. Predictors: (Constant), KI, PROF, LIK, LEV

Coefficientsa

Model Unstandardized Coefficients Standardized

Coefficients

t Sig. Collinearity Statistics

B Std. Error Beta Tolerance VIF

1

(Constant) 7,263 18,977 ,383 ,702

LEV ,530 ,172 ,217 3,087 ,002 ,725 1,381

PROF -,236 ,508 -,029 -,464 ,643 ,943 1,059

LIK ,041 ,023 ,126 1,799 ,073 ,727 1,375

KI -,360 ,369 -,061 -,974 ,331 ,906 1,103


76

Coefficient Correlationsa

Model KI PROF LIK LEV

1

Correlations

KI 1,000 -,119 ,125 -,189

PROF -,119 1,000 -,155 ,082

LIK ,125 -,155 1,000 ,445

LEV -,189 ,082 ,445 1,000

Covariances

KI ,136 -,022 ,001 -,012

PROF -,022 ,258 -,002 ,007

LIK ,001 -,002 ,001 ,002

LEV -,012 ,007 ,002 ,029


Collinearity Diagnosticsa

Model Dimension Eigenvalue Condition Index Variance Proportions

(Constant) LEV PROF LIK KI

1

1 3,758 1,000 ,00 ,01 ,02 ,01 ,00

2 ,654 2,398 ,00 ,11 ,35 ,10 ,00

3 ,444 2,910 ,00 ,02 ,60 ,34 ,00

4 ,112 5,792 ,04 ,80 ,03 ,33 ,23

5 ,032 10,757 ,95 ,06 ,00 ,22 ,76


Casewise Diagnosticsa

Case Number Std. Residual PP Predicted Value Residual

5 4,852 382,32 41,4132 340,90746

14 -3,147 -194,95 26,1775 -221,12705

41 7,722 579,63 37,0705 542,55946

150 -4,177 -262,29 31,2153 -289,50546

165 -8,172 -554,84 19,3302 -574,16913

241 3,016 245,17 33,3053 211,86823

265 -3,229 -205,26 21,6151 -226,87844


77

Residuals Statisticsa

Minimum Maximum Mean Std. Deviation N

Predicted Value -,6309 147,8642 24,9211 13,76279 274

Residual -574,16913 542,55945 ,00000 69,74218 274

Std. Predicted Value -1,857 8,933 ,000 1,000 274

Std. Residual -8,172 7,722 ,000 ,993 274


Explore

Case Processing Summary

Cases

Valid Missing Total

N Percent N Percent N Percent

Unstandardized Residual 274 100,0% 0 0,0% 274 100,0%

Descriptives

Statistic Std. Error

Unstandardized Residual

Mean ,0000000 4,21327938

95% Confidence Interval for Mean Lower Bound -8,2946478

Upper Bound 8,2946478

5% Trimmed Mean -,0805832

Median 3,1098541

Variance 4863,972

Std. Deviation 69,74218329

Minimum -574,16913

Maximum 542,55946

Range 1116,72859

Interquartile Range 18,86670

Skewness -,197 ,147

Kurtosis 33,338 ,293

78

Extreme Values

Case Number Value


Highest

1 41 542,55946

2 5 340,90746

3 241 211,86823

4 148 205,77843

5 72 163,93233

Lowest

1 165 -574,16913

2 150 -293,50546

3 265 -226,87844

4 14 -221,12705

5 260 -195,33034

Tests of Normality

Kolmogorov-Smirnova Shapiro-Wilk

Statistic df Sig. Statistic df Sig.

Unstandardized Residual ,281 274 ,000 ,542 274 ,000

a. Lilliefors Significance Correction

79

Unstandardized Residual Stem-and-Leaf Plot

Frequency Stem & Leaf

32,00 Extremes (=<-36)

1,00 -3 . 3

3,00 -2 . 558

3,00 -2 . 044

11,00 -1 . 55566788999

4,00 -1 . 0113

26,00 -0 . 55555555666667777788889999

41,00 -0 . 00001111111112222233333333333333344444444

41,00 0 . 00000011111112233333333333344444444444444

28,00 0 . 5555555666666777777888899999

36,00 1 . 000001111111111122222233333334444444

15,00 1 . 556666667888899

9,00 2 . 000011244

5,00 2 . 57789

2,00 3 . 01

2,00 3 . 58

1,00 4 . 0

14,00 Extremes (>=41)

Stem width: 10,00000

Each leaf: 1 case(s)

80

Regression


Model Variables

Entered

Variables

Removed

Method

1 KI, PROF, LIK,

LEVb

. Enter

a. Dependent Variable: ABS


81

Model Summaryb


Square

Std. Error of the

Estimate

Durbin-Watson

1 ,310a ,096 ,083 60,98732 1,912

a. Predictors: (Constant), KI, PROF, LIK, LEV

b. Dependent Variable: ABS

Coefficientsa


Coefficients



1

(Constant) 28,985 16,446 1,762 ,079

LEV ,409 ,149 ,187 2,749 ,006 ,725 1,378

PROF -1,797 ,441 -,243 -4,075 ,000 ,943 1,060

LIK ,015 ,020 ,051 ,754 ,451 ,727 1,375

KI -,257 ,321 -,049 -,803 ,422 ,906 1,104



Model KI PROF LIK LEV

1

Correlations

KI 1,000 -,120 ,126 -,189

PROF -,120 1,000 -,159 ,081

LIK ,126 -,159 1,000 ,444

LEV -,189 ,081 ,444 1,000

Covariances

KI ,103 -,017 ,001 -,009

PROF -,017 ,194 -,001 ,005

LIK ,001 -,001 ,000 ,001

LEV -,009 ,005 ,001 ,022


82




1

1 3,756 1,000 ,00 ,01 ,02 ,01 ,00

2 ,656 2,393 ,00 ,11 ,34 ,10 ,00

3 ,444 2,910 ,00 ,02 ,61 ,34 ,00

4 ,112 5,778 ,04 ,80 ,03 ,33 ,22

5 ,033 10,744 ,95 ,06 ,00 ,22 ,77


Casewise Diagnosticsa

Case Number Std. Residual ABS Predicted Value Residual

5 4,692 341,33 55,1636 286,16141

41 7,918 541,68 58,7501 482,92675

150 3,857 289,26 54,0313 235,22520

165 8,858 574,12 33,9146 540,20431

265 3,111 226,58 36,8396 189,73929




Predicted Value -53,7326 138,6192 28,2661 19,72954 274

Residual -47,77900 540,20428 ,00000 60,53887 274


Std. Residual -,783 8,858 ,000 ,993 274


LAMPIRAN 6 : Data setelah diolah


ADES 27,01075 49,73103 5,027219 138,6023 33,33333

AISA 25,31498 56,21989 4,12483 162,2871 40

ALDO 25,80518 53,29949 6,578764 134,4415 33,33333

ARNA 25,44579 37,46567 4,976939 102,0687 50

AUTO 25,57565 29,26042 2,250495 132,2916 37,5

BOLT 26,51805 17,20935 10,63338 439,1026 33,33333

CEKA 25,10829 56,93352 7,171028 153,4677 33,33333

CINT 27,6837 17,69403 7,700225 348,077 50

DVLA 25,30037 29,26451 7,83955 352,2906 42,85714

INTP 22,81686 13,64918 15,7631 488,6574 33,33333

83


JPFA 24,82424 64,39463 3,056529 179,4274 50

KAEF 25,17717 42,46081 8,20552 193,023 40

KBLI 23,11106 33,79546 7,434657 284,7607 33,33333

KINO 21,94657 44,67456 8,189373 161,8793 50

KLBF 24,33722 20,13761 15,02359 369,7775 33,33333

LION 21,2708 28,89447 7,197848 380,2302 33,33333

MERK 26,50054 26,19883 22,21549 365,2179 33,33333

MLBI 26,44618 63,51577 23,65273 53,53056 50

MYOR 23,78926 54,20444 11,02234 236,5337 40

NPIS 26,53949 60,6516 1,981689 104,7323 33,33333

SCCO 22,77855 47,98212 8,973834 168,5817 33,33333

SKBM 25,13392 54,99095 5,251908 114,5122 33,33333

SKLT 26,69997 59,68163 5,32098 119,2455 33,33333

SMGR 22,65424 28,07718 11,86126 160,6708 28,57143

SRSN 25,15066 40,76015 2,700702 216,7071 50

TALF 22,57113 19,34732 7,765137 437,6359 33,33333

TOTO 25,2473 38,85969 11,6922 240,6744 40

TRIS 24,87141 42,68124 7,693098 188,7539 33,33333

TSPC 25,15762 30,98921 8,420697 253,7551 60

ULTJ 25,34341 20,97432 14,77685 374,5477 33,33333

WIIM 26,34359 29,71557 9,762493 289,3757 33,33333

ALDO 25,46086 51,04245 6,148451 147,8303 33,33333

AMFG 25,28022 34,61697 4,731139 201,983 33,33333

AMIN 25,48981 40,04167 7,434285 220,8115 50

APLI 25,09921 21,61326 7,984571 149,5186 50

ARNA 26,21353 38,56414 5,921077 134,8825 50

AUTO 25,50227 27,89241 3,308321 150,512 37,5

BUDI 27,25755 60,26403 1,317413 100,1415 33,33333

CINT 26,81158 18,25701 5,163308 316,0344 50

DVLA 29,07122 29,50216 9,931199 285,4933 42,85714

EKAD 23,43895 15,72991 12,90489 488,5603 33,33333

GGRM 25,28742 37,15139 10,5997 193,7891 50

ICBP 27,21756 35,98763 12,56421 240,6782 50

IMPC 23,64924 46,14992 5,528174 377,2268 50

ISSP 26,03253 56,22079 1,703546 115,9443 40

KDSI 26,0143 63,25012 4,125721 123,1923 33,33333

KLBF 23,94883 18,17392 15,43992 413,1144 33,33333

LION 22,54557 32,66633 6,427469 355,8643 33,33333

MARK 28,6334 52,83701 11,45919 108,4495 50

MBTO 25,18938 37,89402 1,241339 304,448 33,33333

MLBI 25,60677 63,92851 42,29068 67,9548 50

MYOR 24,76086 51,5164 10,74625 225,0172 40

84


NPIS 25,83719 52,60957 3,694298 121,822 33,33333

PYFA 27,03786 36,84478 3,080275 219,0805 50

ROTI 24,26513 50,58461 9,582582 296,2272 33,33333

SCCO 22,52229 50,18562 13,95976 168,9475 33,33333

SKBM 26,82411 63,22204 2,25077 110,7233 33,33333

SMBR 25,82166 28,56842 5,930357 286,832 40

SMSM 23,70315 29,92296 22,27272 286,0253 50

SPMA 27,20499 48,52048 3,755587 246,3029 60

TALF 26,57532 14,71952 3,418161 292,2899 33,33333

TSPC 24,12723 29,61724 8,282857 265,2141 60

ULTJ 23,87788 17,69122 16,74431 484,3633 33,33333

VOKS 28,66045 59,89456 9,593816 133,356 33,33333

WIIM 22,22452 26,78279 7,852196 339,4226 33,33333

ADES 25,1551 49,65569 4,55134 120,1545 33,33333

ALDO 24,82121 53,99597 5,822114 144,0449 33,33333

AMIN 23,79164 49,53284 8,936122 178,3038 50

ARNA 26,48555 35,71662 7,630014 162,6247 50

ASII 20,65694 4,712291 7,835384 122,8632 30

AUTO 23,05755 29,2381 3,710673 155,8671 37,5

BELL 26,10137 48,30534 3,208395 177,4693 50

BOLT 27,10142 39,37772 7,841948 312,7025 33,33333

BUDI 25,11636 59,35643 1,554403 100,7356 33,33333

CEKA 24,98329 35,15578 7,71343 222,4388 33,33333

CINT 22,62752 19,78774 6,221017 318,9957 50

CPIN 23,3104 3,928232 1,112043 231,6555 33,33333

EKAD 25,77089 16,81167 9,56301 451,917 33,33333

FASW 27,73244 64,90549 6,35939 74,17946 33,33333

GGRM 25,69024 36,80691 11,61677 193,5536 50

HOKI 25,50354 17,50248 8,31317 456,6974 33,33333

KDSI 26,13224 63,44629 5,192006 118,6374 33,33333

KINO 22,18239 36,52168 3,388194 114,897 50

KLBF 24,31009 16,38282 14,76418 450,9401 33,33333

LMSH 25,85236 19,57087 8,045891 428,1958 33,33333

MARK 26,95461 26,6942 20,67531 244,4165 50

MYOR 25,42113 50,69442 10,93436 238,6028 40

PYFA 25,75066 31,7791 4,466546 352,2769 50

ROTI 27,28125 38,14979 2,968786 225,8556 33,33333

SMGR 25,61473 37,83318 4,172547 156,7751 28,57143

SMSM 22,93107 25,17688 22,73068 373,9132 50

SPMA 23,92966 45,40019 4,274494 102,2439 60

STTP 25,13353 40,88315 9,22221 264,0902 50

TCID 26,31062 21,31762 7,584278 491,3182 40

85


TOTO 26,14119 40,07439 9,868597 229,5452 40

TSPC 25,09785 31,64659 7,496254 252,1378 60

VOKS 27,81313 61,41905 7,876347 132,2625 33,33333

WOOD 26,7002 52,98866 3,872658 112,2463 50

LAMPIRAN 7: Data spss setelah diolah

Descriptives

Descriptive Statistics

N Minimum Maximum Mean Std. Deviation

PP 98 20,66 29,07 25,2156 1,66245

LEV 98 3,93 64,91 38,3770 15,46882

PROF 98 1,11 42,29 8,3793 5,98870

LIK 98 53,53 491,32 234,9946 114,96446

KI 98 28,57 60,00 40,3268 8,66009

Valid N (listwise) 98

Regression


Model Variables

Entered

Variables

Removed

Method

1 KI, LEV, PROF,

LIKb

. Enter



Model Summaryb


Square

Std. Error of the

Estimate

Durbin-Watson

1 ,349a ,122 ,084 1,59104 1,976

a. Predictors: (Constant), KI, LEV, PROF, LIK

b. Dependent Variable: PP

ANOVAa


1

Regression 32,663 4 8,166 3,226 ,016b

Residual 235,420 93 2,531

Total 268,083 97


86

Coefficientsa


Coefficients



1

(Constant) 22,935 1,321 17,365 ,000

LEV ,039 ,015 ,362 2,566 ,012 ,473 2,113

PROF -,020 ,028 -,073 -,721 ,473 ,921 1,086

LIK ,001 ,002 ,061 ,422 ,674 ,446 2,242

KI ,019 ,019 ,097 ,973 ,333 ,960 1,042



Model KI LEV PROF LIK

1

Correlations

KI 1,000 ,085 -,145 ,163

LEV ,085 1,000 -,070 ,719

PROF -,145 -,070 1,000 -,225

LIK ,163 ,719 -,225 1,000

Covariances

KI ,000 2,449E-005 -7,783E-005 6,524E-006

LEV 2,449E-005 ,000 -2,967E-005 2,297E-005

PROF -7,783E-005 -2,967E-005 ,001 -1,328E-005

LIK 6,524E-006 2,297E-005 -1,328E-005 4,428E-006





1

1 4,387 1,000 ,00 ,00 ,01 ,00 ,00

2 ,330 3,645 ,00 ,08 ,32 ,05 ,00

3 ,224 4,423 ,00 ,02 ,66 ,16 ,00

4 ,048 9,542 ,00 ,34 ,00 ,22 ,54

5 ,011 20,211 1,00 ,56 ,01 ,56 ,45


87



Predicted Value 23,6245 26,4668 25,2156 ,58029 98

Residual -3,63253 4,14106 ,00000 1,55788 98


Std. Residual -2,283 2,603 ,000 ,979 98

Explore

Case Processing Summary

Cases

Valid Missing Total

N Percent N Percent N Percent

Unstandardized Residual 98 100,0% 0 0,0% 98 100,0%

Descriptives

Statistic Std. Error


Mean ,0000000 ,15737014

95% Confidence Interval for Mean Lower Bound -,3123362

Upper Bound ,3123362

5% Trimmed Mean ,0118408

Median ,0379015

Variance 2,427

Std. Deviation 1,55788490

Minimum -3,63253

Maximum 4,14106

Range 7,77358

Interquartile Range 1,86351

Skewness -,144 ,244

Kurtosis -,118 ,483

88

Extreme Values

Case Number Value


Highest

1 40 4,14106

2 8 2,98037

3 64 2,85111

4 49 2,85005

5 61 2,25936

Lowest

1 14 -3,63253

2 16 -3,59869

3 83 -3,13478

4 70 -2,96761

5 56 -2,85197

Unstandardized Residual Stem-and-Leaf Plot

Frequency Stem & Leaf

3,00 -3 . 156

7,00 -2 . 1245689

13,00 -1 . 1133677888999

22,00 -0 . 0000112233334455668889

29,00 0 . 00000001112222444556777788899

14,00 1 . 01223355567899

9,00 2 . 001122889

1,00 Extremes (>=4,1)

Stem width: 1,00000

Each leaf: 1 case(s)

89

90

Regression


Model Variables

Entered

Variables

Removed

Method

1 KI, LEV, PROF,

LIKb

. Enter



Model Summaryb


Square

Std. Error of the

Estimate

Durbin-Watson

1 ,178a ,032 -,010 ,98576 2,256

a. Predictors: (Constant), KI, LEV, PROF, LIK

b. Dependent Variable: ABS

ANOVAa


1

Regression 2,972 4 ,743 ,765 ,551b

Residual 90,369 93 ,972

Total 93,342 97


b. Predictors: (Constant), KI, LEV, PROF, LIK

91

Coefficientsa

Model Unstandardized

Coefficients

Standardize

d

Coefficients

t Sig. Collinearity

Statistics

B Std. Error Beta Toleranc

e

VIF

1

(Constant

)

1,456 ,818 1,780 ,078

LEV -,010 ,009 -,154 -1,040 ,301 ,473 2,113

PROF -,001 ,017 -,004 -,036 ,972 ,921 1,086

LIK ,000 ,001 ,033 ,213 ,832 ,446 2,242

KI ,002 ,012 ,014 ,132 ,895 ,960 1,042



Model KI LEV PROF LIK

1

Correlations

KI 1,000 ,085 -,145 ,163

LEV ,085 1,000 -,070 ,719

PROF -,145 -,070 1,000 -,225

LIK ,163 ,719 -,225 1,000

Covariances

KI ,000 9,402E-006 -2,988E-005 2,504E-006

LEV 9,402E-006 8,845E-005 -1,139E-005 8,819E-006

PROF -2,988E-005 -1,139E-005 ,000 -5,097E-006

LIK 2,504E-006 8,819E-006 -5,097E-006 1,700E-006



Model Dimension Eigenvalue Condition

Index

Variance Proportions


1

1 4,387 1,000 ,00 ,00 ,01 ,00 ,00

2 ,330 3,645 ,00 ,08 ,32 ,05 ,00

3 ,224 4,423 ,00 ,02 ,66 ,16 ,00

4 ,048 9,542 ,00 ,34 ,00 ,22 ,54

5 ,011 20,211 1,00 ,56 ,01 ,56 ,45


92



Predicted Value ,8902 1,5336 1,2041 ,17504 98

Residual -1,44575 2,83317 ,00000 ,96522 98


Std. Residual -1,467 2,874 ,000 ,979 98


LAMPIRAN 8 : Nama perusahaan minimum dan maximum setiap variabel

MIN MAX

PP ASII 2017 DVLA 2016

20,65694 29,07122

LEV CPIN 2017 FASW 2017

3,928232 64,90549

PROF CPIN 2017 MLBI 2016

1,112043 42,29068

LIK MLBI 2015 TCID 2017

53,53056 491,3182

KI SMGR 2015 TSPC 2015

28,57143 60

LAMPIRAN 9 : PROFITABILITAS LAMPIRAN 10 :

LIKUIDITAS

PERUSAHAAN PROFITABILITAS ETR

PERUSAHAAN LIKUIDITAS ETR

MLBI 42,29068 25,60677

TCID 491,318171 26,310623

MLBI 23,65273 26,44618

INTP 488,65736 22,8168599

SMSM 22,73068 22,93107

EKAD 488,560266 23,4389496

SMSM 22,27272 23,70315

ULTJ 484,36328 23,8778829

MERK 22,21549 26,50054

HOKI 456,697416 25,5035421

MARK 20,67531 26,95461

EKAD 451,916963 25,7708932

ULTJ 16,74431 23,87788

KLBF 450,940092 24,3100871

INTP 15,7631 22,81686

BOLT 439,102593 26,5180549

KLBF 15,43992 23,94883

TALF 437,63593 22,571127

KLBF 15,02359 24,33722

LMSH 428,195812 25,8523639

ULTJ 14,77685 25,34341

KLBF 413,114405 23,9488319

KLBF 14,76418 24,31009

LION 380,230227 21,270797

SCCO 13,95976 22,52229

IMPC 377,226829 23,6492372

EKAD 12,90489 23,43895

ULTJ 374,547743 25,3434148

ICBP 12,56421 27,21756

SMSM 373,913168 22,9310694

93



SMGR 11,86126 22,65424

KLBF 369,777504 24,337224

TOTO 11,6922 25,2473

MERK 365,217917 26,5005446

GGRM 11,61677 25,69024

LION 355,864266 22,5455701

MARK 11,45919 28,6334

DVLA 352,290599 25,3003724

MYOR 11,02234 23,78926

PYFA 352,276916 25,7506647

MYOR 10,93436 25,42113

CINT 348,076988 27,6837041

MYOR 10,74625 24,76086

WIIM 339,422632 22,2245165

BOLT 10,63338 26,51805

CINT 318,995683 22,6275221

GGRM 10,5997 25,28742

CINT 316,034357 26,8115809

DVLA 9,931199 29,07122

BOLT 312,70251 27,1014224

TOTO 9,868597 26,14119

MBTO 304,447951 25,1893834

WIIM 9,762493 26,34359

ROTI 296,227169 24,2651289

VOKS 9,593816 28,66045

TALF 292,289871 26,5753158

ROTI 9,582582 24,26513

WIIM 289,375662 26,3435914

EKAD 9,56301 25,77089

SMBR 286,831966 25,8216568

STTP 9,22221 25,13353

SMSM 286,025267 23,7031455

SCCO 8,973834 22,77855

DVLA 285,493339 29,0712209

AMIN 8,936122 23,79164

KBLI 284,760746 23,1110646

TSPC 8,420697 25,15762

TSPC 265,214075 24,1272252

HOKI 8,31317 25,50354

STTP 264,090171 25,1335264

TSPC 8,282857 24,12723

TSPC 253,755083 25,1576199

KAEF 8,20552 25,17717

TSPC 252,137773 25,0978531

KINO 8,189373 21,94657

SPMA 246,302884 27,2049874

LMSH 8,045891 25,85236

MARK 244,416457 26,9546086

APLI 7,984571 25,09921

ICBP 240,678199 27,217556

VOKS 7,876347 27,81313

TOTO 240,674392 25,2473025

WIIM 7,852196 22,22452

MYOR 238,602763 25,4211298

BOLT 7,841948 27,10142

MYOR 236,533677 23,7892644

DVLA 7,83955 25,30037

CPIN 231,65549 23,3104044

ASII 7,835384 20,65694

TOTO 229,545157 26,1411948

TALF 7,765137 22,57113

ROTI 225,855622 27,2812466

CEKA 7,71343 24,98329

MYOR 225,017205 24,7608649

CINT 7,700225 27,6837

CEKA 222,438752 24,983287

TRIS 7,693098 24,87141

AMIN 220,811459 25,4898093

ARNA 7,630014 26,48555

PYFA 219,080508 27,0378568

TCID 7,584278 26,31062

SRSN 216,707149 25,1506626

TSPC 7,496254 25,09785

AMFG 201,982971 25,2802235

KBLI 7,434657 23,11106

GGRM 193,789066 25,2874214

AMIN 7,434285 25,48981

GGRM 193,553619 25,6902402

LION 7,197848 21,2708

KAEF 193,022984 25,1771714

CEKA 7,171028 25,10829

TRIS 188,753928 24,8714087

ALDO 6,578764 25,80518

JPFA 179,427351 24,8242382

94



LION 6,427469 22,54557

AMIN 178,303773 23,7916373

FASW 6,35939 27,73244

BELL 177,469305 26,1013659

CINT 6,221017 22,62752

SCCO 168,947453 22,5222923

ALDO 6,148451 25,46086

SCCO 168,581729 22,7785517

SMBR 5,930357 25,82166

ARNA 162,624656 26,4855521

ARNA 5,921077 26,21353

AISA 162,28709 25,314976

ALDO 5,822114 24,82121

KINO 161,879271 21,9465744

IMPC 5,528174 23,64924

SMGR 160,670815 22,6542436

SKLT 5,32098 26,69997

SMGR 156,775127 25,6147305

SKBM 5,251908 25,13392

AUTO 155,867082 23,0575501

KDSI 5,192006 26,13224

CEKA 153,467668 25,108292

CINT 5,163308 26,81158

AUTO 150,51204 25,5022677

ADES 5,027219 27,01075

APLI 149,518645 25,099205

ARNA 4,976939 25,44579

ALDO 147,830311 25,46086

AMFG 4,731139 25,28022

ALDO 144,04485 24,8212093

ADES 4,55134 25,1551

ADES 138,602255 27,0107527

PYFA 4,466546 25,75066

ARNA 134,88254 26,2135292

SPMA 4,274494 23,92966

ALDO 134,441465 25,8051841

SMGR 4,172547 25,61473

VOKS 133,356019 28,6604505

KDSI 4,125721 26,0143

AUTO 132,291589 25,5756511

AISA 4,12483 25,31498

VOKS 132,262537 27,813135

WOOD 3,872658 26,7002

KDSI 123,192308 26,0143001

SPMA 3,755587 27,20499

ASII 122,863192 20,6569393

AUTO 3,710673 23,05755

NPIS 121,821958 25,8371851

NPIS 3,694298 25,83719

ADES 120,15452 25,1551032

TALF 3,418161 26,57532

SKLT 119,245537 26,6999663

KINO 3,388194 22,18239

KDSI 118,637444 26,1322406

AUTO 3,308321 25,50227

ISSP 115,944327 26,0325263

BELL 3,208395 26,10137

KINO 114,897021 22,1823884

PYFA 3,080275 27,03786

SKBM 114,512243 25,1339213

JPFA 3,056529 24,82424

WOOD 112,246277 26,7001992

ROTI 2,968786 27,28125

SKBM 110,723272 26,8241077

SRSN 2,700702 25,15066

MARK 108,449484 28,6334023

SKBM 2,25077 26,82411

NPIS 104,732256 26,5394921

AUTO 2,250495 25,57565

SPMA 102,243885 23,9296615

NPIS 1,981689 26,53949

ARNA 102,068725 25,4457907

ISSP 1,703546 26,03253

BUDI 100,735598 25,1163629

BUDI 1,554403 25,11636

BUDI 100,141545 27,257554

BUDI 1,317413 27,25755

FASW 74,1794584 27,7324419

MBTO 1,241339 25,18938

MLBI 67,9547992 25,6067706

CPIN 1,112043 23,3104

MLBI 53,5305645 26,4461819

LAMPIRAN 11 : Data komisaris independen

95

PERU NAMA PENDIDIKAN AKT JML

ADES MICELLIA DOTULONG MANAJEMEN KEUANGAN 0 1

AISA ANTON APRIYANTONO /

BONDAN HARYO

WINARNO

PANGAN/ARSITEK 0 2

AKPI JOHAN PAULUS

YORANOUW/ WIDJOJO

BUDIARTO

AKUNTAN/HUKUM 1 2

ALDO GUNARATNA ANDY

TUNASASMITA

MANAJEMEN 0 1

APLI ALBERT SUGIANTO AKUNTAN 1 1

ARNA Drs. H. Karsanto, MBA AKUNTAN 1 1

ASII SIDHARTA UTAMA/

MARI ELKA PANGESTU/

MUHAMAD CHATIB

BASRI / KYPICHI

TANADA

AKUNTANSI/EKONOMI/EKONOMI/

FOREIGN STUDIES

1 4

AUTO ANGKY UTARYA

TISNADISASTRA

EKONOMI 0 1

BUDI DANIEL KANDINATA MARKETING 0 1

CEKA Drs. Hendardji Soepandji

S.H

HUKUM 0 1

CPIN SUPARMAN

SASTRODIMEDJO

POLITIK SOSIAL 0 1

IMPC CORNELIUS WIELIM

PRANATA

BISNIS ADMIN 0 1

INAF TEDDY WIBISANA MIPA KIMIA 0 1

JPFA RETNO ASTUTI

WIBISONO

HUKUM 0 1

KAEF Dr Basuki Ranto, MM/ Dr

Farid Wadjidi Husain, Sp.B.,

KBD

MANAJEMEN/ KEDOKTERAN 0 2

KBLM D.N. Adnyana / BUDI

SETIONO SANTOSO

TEKNIK / TEKNIK 0 2

KDSI KASZIEF KASLAN MASTER OF SIENCE ELECTRICAL 0 1

LMPI BING HARTONO

POERNOMOSIDI

AKUNTANSI 1 1

MPPA WILLIAM TRAVIS

SAUCER / CHUA SIANG

HWEE, JEFFREY / NIEL

NIELSON

BISNIS/ MANAGEMENT/ FILOSOFI 0 3

MYOR RAMLI SETIAWAN /

SURYANTO GUNAWAN

KEDOKTERAN/ KEDOKTERAN 0 2

PRAS PAULUS BONDAN S

HERMAN

AKUNTANSI 1 1

PYFA LIANNY SURAJA / M.

SYAMSUL ARIFIN

AKUNTANSI/ AKUNTANSI 2 2

RICY SUBANDI SIHMAN EKONOMI 0 1

SCCO D.N. Adnyana TEKNIK 0 1

SKBM JULIHER MARBUN AKADEMIK BANK 0 1

96

SKLT BING HARTONO

POERNOMOSIDI

AKUNTANSI 1 1

SMGR NASARUDIN UMAR/ M

CHOLIQ

DOKTER / TEKNIK 0 2

SRSN STEPHANUS JUNIANTO/

A. BUDIDARMODJO/

PULLINTHITTA JOSEPH

MATHEW

HUKUM&AKUN/MARKETING/EKOMOMI 1 3

STTP OSBERT KOSASIH WIRAUSAHA 0 1

TRIS LUCAS SONNY SANJAYA MANAJEMEN 0 1

TRST JOHANES SUSILO/

DAHRYL IRXAN

BISNIS ADMIN/ EKONOMI 0 2

WTON ASFIAH MAHDIANI/

PRIYO SUPROBO

MANAJEMEN&TEKNIK/TEKNIK 0 2

AMFG BENYAMI SUBRATA/

HIDEYA TANAKA

TEKNIK/ 0 2

AMIN DAULAT SIHOMBING AKUNTAN 1 1

BRNA ANTONIUS HANIFA

KOMALA/ACHMAD

WIDJAJA

MECHANICAL ENGINEERNG/EKONOMI 0 2

CPIN SUPARMAN

SASTRODIMEDJO

POLITIK SOSIAL 0 1

FASW TONY TJANDRA/ HADI

REBOWO

ONGKOWIDJOJO

AKUNTANSI/TEKNIK KOMPUTER 1 2

GDST JO DENIE MANAJEMEN ADMIN 0 1

GGRM FRANK WILLEM VAN

GELDER/ GOTAMA

HENGDRATSONATA

HUKUM/TEKNIK SIPIL 0 2

GJTL SUTANTO / TOH DAVID

KA HOCK/ SUNARIA

TADJUDDIN

MILITER / BACHELOR OF COMMERCE/

AKUNTANSI

1 3

ISSP SOESILO WIDJAJA /

MAKMUR WIDJAJA

EKONOMI 0 2

JECC I GUSTI MADE PUTERA

ASTAMAN/ ANDREAS S.

SOEDJIJANTO

KEPOLISIAN/MANAJEMEN ADMIN 0 2

MARK DOMPAK PASARIBU AKUNTANSI 1 1

TOTO SEGARA

UTAMA/ACHMAD

KURNIADI

AKUNTANSI/ MANAJEMEN

ADMINISTRASI

1 2

VOKS KUMHAL DJAMIL /

TJAHYADI LUKIMAN /

MULIANY ANWAR

MANAJEMEN / TEKNIK MESIN /

AKUNTANSI

1 3

WSBP M. AQIL IRHAM/ VIKTOR

S. SIRAT

FILSAFAT/TEKNIK MESIN 0 2

CLEO IDA BAGUS OKA NILA MANAJEMEN 0 1

KBLI BAMBANG HUSODO/

RASIDI

PERBANKAN/ AKUNTAN 1 2

PSDN FERY YENNOTO /

ROBERTUS SUKAMTO

EKONOMI/ MANAJER KEUANGAN 0 2

97

ROTI JUSUF ARBIANTO

TJONDROLUKITO

EKONOMI 0 1

SMBR Ir Anas Rosjidi/ Ir Darusman

Mawardi/ Mayjen Syahria

BP Peliung

TEKNIK ELEKTRO/ TEKNIK/ POLRI 0 3

SPMA SUHARTOJO TJANDRA/

SUBIANTARA/ TAN

JUANTO

HUKUM/ELECTRONIC

ENGINEERING/SMU

0 3

WOOD BING HARTONO

POERNOMOSIDI / HERI

SUNARYADI

EKONOMI/ PERTANIAN 0 2

TOTAL

17 88

LAMPIRAN 12 : Tabel durbin watson

98

Documents

LAMPIRAN 1 : Data Perusahaan Manufakturrepository.unika.ac.id/20225/8/15.G1.0035 ESTER LITA (2... · 2019. 11. 13. · 58 LAMPIRAN LAMPIRAN 1 : Data Perusahaan Manufaktur . Sektor