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Lampiran 1 Daftar Perusahaan Go Public yang Menjadi Sampel

No. Nama Perusahaan Kode

1 Astra Agro Lestari Tbk. AALI

2 Abdi Bangsa Tbk. ABBA

3 Ades Waters Indonesia Tbk. ADES 4 Polychem Indonesia Tbk. ADMG 5 Akbar Indomakmur Stimec Tbk AIMS 6 Aneka Kemasindo Utama Tbk. AKKU 7 Argha Karya Prima Ind. Tbk. AKPI 8 AKR Corporindo Tbk. AKRA 9 Alfa Retailindo Tbk. ALFA 10 Aneka Tambang (Persero) Tbk. ANTM 11 Apexindo Pratama Duta Tbk. APEX 12 Arwana Citramulia Tbk. ARNA 13 Ratu Prabu Energi Tbk. ARTI 14 Astra Graphia Tbk. ASGR 15 Astra International Tbk. ASII 16 ATPK Resources Tbk. ATPK 17 Astra Otoparts Tbk. AUTO 18 BAT Indonesia Tbk. BATI

19 Bayu Buana Tbk. BAYU

20 Bhakti Investama Tbk. BHIT 21 Berlian Laju Tanker Tbk. BLTA 22 Bakrie & Brothers Tbk. BNBR 23 Barito Pacific Tbk. BRPT 24 Bumi Teknokultura Unggul Tbk. BTEK 25 Betonjaya Manunggal Tbk. BTON 26 Budi Acid Jaya Tbk. BUDI 27 Bumi Resources Tbk. BUMI 28 Cahaya Kalbar Tbk. CEKA 29 Centrin Online Tbk. CENT 30 Citra Mineral Investindo Tbk. CITA 31 Colorpak Indonesia Tbk. CLPI 32 Centris Multi Persada Pratama Tbk. CMPP

33 CENTEX Tbk. CNTX

34 Charoen Pokhpand Indonesia Tbk. CPIN 35 Citra Tubindo Tbk. CTBN 36 Davomas Abadi Tbk. DAVO 37 Dharma Samudera Fishing Ind. Tbk. DSFI 38 Daya Sakti Unggul Corporation Tbk. DSUC 39 Darya Varia Laboratoria Tbk. DVLA

40 Dynaplast Tbk. DYNA

41 Energi Mega Persada Tbk. ENRG 42 Enseval Putra Megatrading Tbk. EPMT 43 Eratex Djaja Tbk. ERTX 44 Ever Shine Textile Industry Tbk. ESTI 45 Eterindo Wahanatama Tbk. ETWA 46 Fast Food Indonesia Tbk. FAST

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47 Fortune Indonesia Tbk. FORU 48 PT. Titan Kimia Nusantara Tbk. FPNI 49 Goodyear Indonesia Tbk. GDYR 50 Gema Grahasarana Tbk. GEMA 51 Gudang Garam Tbk. GGRM 52 Equity Development Investment Tbk. GSMF 53 Hero Supermarket Tbk. HERO 54 Hexindo Adiperkasa Tbk. HEXA 55 HM Sampoerna Tbk. HMSP 56 Infoasia Teknologi Global Tbk. IATG 57 Intikeramik Alamsari Industri Tbk. IKAI 58 Indomobil Sukses International Tbk. IMAS

59 Indofarma Tbk. INAF

60 Indal Aluminium Industry Tbk. INAI 61 Intanwijaya Internasional Tbk. INCI 62 Indofood Sukses Makmur Tbk. INDF 63 Indorama Synthetics Tbk. INDR 64 Indoexchange Tbk. INDX 65 Indah Kiat Pulp & Paper Tbk. INKP 66 Intraco Penta Tbk. INTA 67 Indocement Tunggal Prakarsa Tbk. INTP

68 Indosat Tbk. ISAT

69 Jembo Cable Company Tbk. JECC 70 Jakarta Kyoei Steel Works Ltd. Tbk. JKSW 71 Jakarta Setiabudi Internasional Tbk. JSPT 72 GT Kabel Indonesia Tbk. KBLI 73 Kabelindo Murni Tbk. KBLM 74 Kedawung Setia Industrial Tbk. KDSI 75 Kedaung Indah Can Tbk. KICI 76 Resource Alam Indonesia Tbk. KKGI 77 Kalbe Farma Tbk. KLBF 78 Leyand International Tbk. LAPD 79 Lion Metal Works Tbk. LION 80 Langgeng Makmur Industri Tbk. LMPI 81 Lionmesh Prima Tbk. LMSH 82 Multi Prima Sejahtera Tbk. LPIN

83 Lippo E-Net Tbk. LPLI

84 Pacific Utama Tbk. LPPF 85 Lautan Luas Tbk. LTLS 86 Mas Murni Indonesia Tbk. MAMI 87 Mitra Adiperkasa Tbk. MAPI 88 Modern International Tbk. MDRN

89 Merck Tbk. MERK

90 Nusantara Infrastructure Tbk. META 91 Mitra Rajasa Tbk. MIRA 92 Multi Bintang Indonesia Tbk. MLBI 93 Mulia Industrindo Tbk. MLIA

94 Multipolar Tbk. MLPL

95 Matahari Putra Prima Tbk. MPPA 96 Mustika Ratu Tbk. MRAT

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97 Metrodata Electronics Tbk. MTDL 98 Metro Supermarket Realty Tbk. MTSM 99 Hanson International Tbk. MYRX 100 Indonesia Prima Property Tbk. OMRE 101 Panorama Sentrawisata Tbk. PANR 102 Pan Brothers Tbk. PBRX 103 Perusahaan Gas Negara (Persero) Tbk. PGAS 104 Pembangunan Jaya Ancol Tbk. PJAA 105 Plaza Indonesia Realty Tbk. PLIN 106 Pudjiadi & Sons Estates Ltd. Tbk. PNSE 107 Polysindo Eka Perkasa Tbk. POLY 108 Prima Alloy Steel Universal Tbk. PRAS 109 Tambang Batubara Bukit Asam Tbk. PTBA 110 Pioneerindo Gourmet International PTSP 111 Pakuwon Jati Tbk. PWON 112 Pyridam Farma Tbk. PYFA 113 Ramayana Lestari Sentosa Tbk. RALS 114 Ricky Putra Globalindo Tbk. RICY 115 Rimo Catur Lestari Tbk. RIMO 116 Bentoel International Investama Tbk. RMBA 117 Steady Safe Tbk. SAFE 118 Surabaya Agung Industry Pulp Tbk. SAIP 119 Surya Citra Media Tbk. SCMA 120 Schering Plough Indonesia Tbk. SCPI 121 Siwani Makmur Tbk. SIMA 122 Surya Intrindo Makmur Tbk. SIMM 123 Sierad Produce Tbk. SIPD

124 SMART Tbk. SMAR

125 Holcim Indonesia Tbk. SMCB 126 Samudera Indonesia Tbk. SMDR 127 Selamat Sempurna Tbk. SMSM 128 Sona Topas Tourism Industry Tbk. SONA 129 Allbond Makmur Usaha Tbk. SQMI 130 Indo Acidatama Tbk. SRSN 131 Sunson Textile Manufacturer Tbk. SSTM 132 Siantar Top Tbk. STTP 133 Sugi Samapersada Tbk. SUGI 134 Sumalindo Lestari Jaya Tbk. SULI 135 Tunas Baru Lampung Tbk. TBLA 136 Tembaga Mulia Semanan Tbk. TBMS 137 Tigaraksa Satria Tbk. TGKA 138 Timah (Persero) Tbk. TINS 139 Tira Austenite Tbk. TIRA 140 Tirta Mahakam Resources Tbk. TIRT 141 Toko Gunung Agung Tbk. TKGA 142 Telekomunikasi Indonesia (Persero) TLKM 143 Tempo Inti Media Tbk. TMPO 144 Surya Toto Indonesia Tbk. TOTO 145 Tempo Scan Pacific Tbk. TSPC 146 Bakrie Sumatera Plantations Tbk. UNSP

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147 United Tractors Tbk. UNTR 148 Voksel Electric Tbk. VOKS 149 Wahana Phonix Mandiri Tbk. WAPO 150 Zebra Nusantara Tbk. ZBRA

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Lampiran 2

Data Total Aktiva Perusahaan Sampel Tahun 2005-2007

No. Kode 2005 2006 2007 1 AALI 3.191.715.000.000 3.496.955.000.000 5.352.986.000.000 2 ABBA 118.762.901.265 150.189.394.612 159.175.951.594 3 ADES 210.052.000.000 233.253.000.000 178.761.000.000 4 ADMG 4.431.915.116.000 3.987.067.222.000 4.161.340.040.000 5 AIMS 61.347.659.292 68.695.859.260 38.499.096.921 6 AKKU 41.377.657.176 51.236.165.744 53.884.736.781 7 AKPI 1.463.009.401.000 1.460.272.825.000 1.544.670.126.000 8 AKRA 1.979.762.854.000 2.377.340.147.000 3.497.591.029.000 9 ALFA 719.830.328.737 744.925.795.814 688.375.422.986 10 ANTM 6.402.714.128.000 7.290.905.515.000 12.037.916.922.000 11 APEX 3.207.286.457.000 4.043.662.511.000 4.894.808.300.000 12 ARNA 364.794.072.950 478.777.623.456 630.587.291.741 13 ARTI 365.638.258.164 119.944.852.445 80.242.618.903 14 ASGR 518.803.623.322 584.838.895.959 624.557.293.214 15 ASII 46.985.862.000.000 57.929.290.000.000 63.519.598.000.000 16 ATPK 84.154.091.297 102.887.051.854 208.613.154.786 17 AUTO 3.028.465.000.000 3.028.160.000.000 3.454.254.000.000 18 BATI 681.787.000.000 611.963.000.000 675.726.000.000 19 BAYU 147.929.893.602 146.245.820.492 179.587.739.599 20 BHIT 2.010.891.516.586 10.614.015.000.000 19.741.809.000.000 21 BLTA 7.908.586.893.267 8.205.955.951.572 20.668.624.548.040 22 BNBR 7.012.881.782.000 8.666.760.040.000 14.137.255.943.000 23 BRPT 2.290.290.677.829 1.739.140.283.979 16.912.119.000.000 24 BTEK 92.733.545.907 84.138.017.450 94.799.495.170 25 BTON 27.720.995.361 33.674.096.945 46.469.199.037 26 BUDI 978.597.000.000 931.614.000.000 1.485.651.000.000 27 BUMI 16.446.361.000.000 22.672.596.970.000 28.194.191.800.000 28 CEKA 333.807.565.504 280.806.653.865 613.679.506.628 29 CENT 84.768.272.416 89.417.458.571 98.707.930.117 30 CITA 126.247.422.517 405.530.768.907 542.229.925.431 31 CLPI 107.667.985.852 133.360.400.532 167.582.612.627 32 CMPP 200.898.005.109 149.109.224.966 115.306.971.326 33 CNTX 336.618.000.000 390.777.000.000 424.739.000.000 34 CPIN 2.620.029.000.000 2.902.419.000.000 4.760.491.000.000 35 CTBN 975.225.412.400 1.579.778.588.000 1.699.824.560.000 36 DAVO 1.746.894.856.853 2.707.801.367.905 3.868.528.173.315 37 DSFI 272.744.054.363 223.260.218.825 316.161.442.270 38 DSUC 396.039.088.869 322.076.100.634 288.943.246.774 39 DVLA 550.628.937.000 557.337.641.000 560.930.742.000 40 DYNA 1.073.711.601.854 1.123.945.535.253 1.123.388.423.766 41 ENRG 5.059.201.074.000 9.883.391.922.000 9.378.194.413.000 42 EPMT 1.858.734.427.364 1.814.793.848.120 2.094.435.068.400 43 ERTX 298.198.517.000 307.056.114.000 291.758.548.000 44 ESTI 598.887.285.306 530.646.714.006 540.721.878.346

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45 ETWA 469.923.002.385 516.337.759.530 439.545.959.118 46 FAST 377.905.343.000 483.574.983.000 629.491.106.000 47 FORU 131.323.983.513 146.987.424.992 190.445.660.564 48 FPNI 332.417.369.662 329.077.958.388 392.077.958.388 49 GDYR 452.102.650.000 454.850.967.000 579.661.339.000 50 GEMA 219.866.697.284 249.403.611.752 329.205.931.629 51 GGRM 22.128.851.000.000 21.733.034.000.000 23.928.968.000.000 52 GSMF 1.020.836.354.000 1.124.728.438.000 1.301.163.954.000 53 HERO 1.506.693.000.000 1.615.240.000.000 1.753.298.000.000 54 HEXA 1.069.514.138.765 1.204.103.631.117 1.383.840.000.000 55 HMSP 11.934.600.000.000 12.659.804.000.000 15.680.542.000.000 56 IATG 378.924.608.015 345.935.194.082 383.107.170.725 57 IKAI 703.629.301.787 682.344.655.981 772.704.222.377 58 IMAS 4.275.870.730.082 4.418.691.931.106 4.907.499.956.145 59 INAF 518.823.729.815 686.937.377.885 1.009.437.678.208 60 INAI 476.733.635.551 534.462.374.716 482.711.646.072 61 INCI 179.211.074.854 172.782.450.281 179.761.408.940 62 INDF 14.786.084.242.855 16.112.493.000.000 29.527.466.000.000 63 INDR 5.044.827.006.000 5.352.363.069.000 6.237.076.250.000 64 INDX 8.382.425.346 7.468.428.828 556.667.431 65 INKP 47.315.657.340.000 47.620.679.660.000 54.877.909.890.000 66 INTA 887.643.986.602 831.846.049.822 863.817.636.457 67 INTP 10.536.379.743.924 9.598.280.330.742 10.016.027.529.358 68 ISAT 32.787.133.000.000 34.228.658.000.000 45.305.086.000.000 69 JECC 322.661.922.000 362.647.601.000 470.474.609.000 70 JKSW 289.446.874.863 263.492.766.135 290.139.653.820 71 JSPT 2.547.109.954.454 2.582.121.960.189 2.718.908.952.365 72 KBLI 489.801.692.505 441.084.940.246 499.368.089.308 73 KBLM 259.790.650.418 279.438.087.218 432.681.409.048 74 KDSI 384.927.700.206 439.736.637.878 542.059.955.501 75 KICI 161.453.774.305 140.214.464.449 80.262.032.305 76 KKGI 231.505.280.959 198.082.913.739 173.812.511.974 77 KLBF 4.728.368.509.889 4.624.619.204.478 5.138.212.506.980 78 LAPD 46.792.735.759 49.197.965.840 56.521.111.443 79 LION 165.030.141.024 187.689.454.220 216.129.508.805 80 LMPI 505.172.478.369 508.864.677.279 531.756.407.354 81 LMSH 42.145.203.874 43.587.839.467 62.812.399.313 82 LPIN 117.058.911.777 108.745.776.153 139.252.657.007 83 LPLI 1.126.296.000.000 1.264.397.000.000 964.726.000.000 84 LPPF 58.260.214.764 51.416.036.791 67.896.008.172 85 LTLS 1.608.866.000.000 1.830.516.000.000 2.135.084.000.000 86 MAMI 622.196.753.109 620.624.325.764 583.970.629.374 87 MAPI 1.922.627.626.000 2.265.420.200.000 2.959.914.328.000 88 MDRN 888.437.547.218 893.725.138.507 910.084.825.611 89 MERK 218.034.134.000 282.698.909.000 331.062.225.000 90 META 532.196.970.953 483.016.457.568 650.074.796.647 91 MIRA 80.861.024.234 87.987.350.245 1.126.906.613.222 92 MLBI 575.385.000.000 610.437.000.000 621.835.000.000 93 MLIA 4.115.989.969.000 3.780.131.499.000 3.822.944.317.000 94 MLPL 5.481.883.000.000 7.479.242.000.000 9.783.410.000.000

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95 MPPA 4.578.376.000.000 6.055.088.000.000 8.403.470.000.000 96 MRAT 290.646.485.673 291.768.931.718 315.997.722.658 97 MTDL 655.698.453.574 740.800.479.831 1.162.250.916.208 98 MTSM 101.783.856.671 96.959.424.926 98.976.263.517 99 MYRX 753.107.989.994 669.270.442.505 524.778.161.505 100 OMRE 752.937.671.130 724.081.949.781 726.799.648.708 101 PANR 279.803.228.000 314.993.158.000 403.297.804.000 102 PBRX 390.215.826.546 553.846.048.245 833.092.974.381 103 PGAS 12.574.760.576.903 15.113.901.573.826 20.348.341.036.745 104 PJAA 905.995.826.023 954.271.118.430 1.277.132.576.776 105 PLIN 1.990.390.870.000 2.238.608.419.000 2.964.659.921.000 106 PNSE 184.350.005.180 202.140.201.925 211.515.487.317 107 POLY 6.093.780.193.141 5.848.629.300.409 5.448.182.115.881 108 PRAS 561.115.028.226 593.160.244.451 542.959.754.143 109 PTBA 2.839.690.000.000 3.107.734.000.000 3.928.071.000.000 110 PTSP 76.412.064.645 75.758.944.419 74.008.876.918 111 PWON 1.694.097.934.000 2.721.499.590.000 3.115.215.408.000 112 PYFA 76.550.878.274 83.127.282.484 95.157.347.340 113 RALS 2.338.147.000.000 2.527.942.000.000 2.917.525.000.000 114 RICY 417.333.266.403 516.487.883.250 574.676.517.444 115 RIMO 125.309.749.377 66.533.013.153 63.420.796.163 116 RMBA 1.842.317.142.876 2.347.941.632.229 3.859.160.327.022 117 SAFE 193.378.935.538 158.299.609.649 209.422.443.410 118 SAIP 2.121.633.333.307 2.202.306.431.527 2.661.804.433.725 119 SCMA 1.909.698.594.000 1.822.206.491.000 2.552.198.461.000 120 SCPI 74.023.144.953 98.873.639.098 128.565.403.170 121 SIMA 65.111.750.192 68.543.995.301 74.453.380.521 122 SIMM 130.829.495.300 145.922.208.192 117.679.481.007 123 SIPD 1.157.773.436.700 1.113.796.114.575 1.294.772.758.402 124 SMAR 4.597.226.953.395 5.311.930.881.824 8.063.168.750.738 125 SMCB 7.324.210.000.000 7.065.846.000.000 7.208.250.000.000 126 SMDR 3.234.643.296.000 3.482.428.789.000 3.971.871.173.000 127 SMSM 663.138.307.944 716.685.940.960 830.049.538.892 128 SONA 412.439.027.997 405.200.337.053 469.053.180.208 129 SQMI 80.159.271.826 70.753.911.591 38.473.802.223 130 SRSN 338.343.696.000 330.445.358.000 334.128.209.000 131 SSTM 898.038.774.367 878.134.961.270 898.749.795.202 132 STTP 477.443.560.343 467.491.119.280 517.448.084.688 133 SUGI 49.728.950.082 50.328.320.380 56.033.737.745 134 SULI 1.230.305.302.624 1.520.602.499.553 1.895.845.309.043 135 TBLA 1.451.438.727.000 2.049.162.958.000 2.457.120.118.000 136 TBMS 835.562.027.353 955.614.487.711 1.183.990.019.623 137 TGKA 808.311.208.236 1.067.118.832.187 1.348.754.854.056 138 TINS 2.748.157.000.000 3.462.222.000.000 5.032.712.000.000 139 TIRA 180.276.908.889 244.958.463.798 238.871.346.819 140 TIRT 856.923.525.684 570.117.317.643 553.388.405.827 141 TKGA 85.653.452.225 82.333.377.960 89.393.999.264 142 TLKM 62.171.044.000.000 75.135.745.000.000 82.058.760.000.000 143 TMPO 124.271.643.000 117.860.186.000 118.523.770.000 144 TOTO 848.136.747.528 908.168.166.154 913.995.368.437

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145 TSPC 2.345.759.617.952 2.479.250.656.231 2.773.134.866.559 146 UNSP 1.244.908.774.000 1.783.001.195.000 4.310.903.584.000 147 UNTR 10.633.839.000.000 11.247.846.000.000 13.002.619.000.000 148 VOKS 414.293.045.440 471.940.067.904 805.073.969.614 149 WAPO 180.404.199.525 188.637.435.031 199.515.841.307 150 ZBRA 136.638.073.495 119.478.881.234 93.251.143.031

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Lampiran 3

Data Perputaran Modal Kerja Perusahaan Sampel Tahun 2005-2007

No. Kode 2005 2006 2007 1 AALI 12 -53 10 2 ABBA 10 13 5 3 ADES -1 0 -2 4 ADMG 3 3 4 5 AIMS 11 10 5 6 AKKU 3 8 6 7 AKPI 5 4 10 8 AKRA 10 32 23 9 ALFA 38 21 43 10 ANTM 3 3 2 11 APEX 2 2 3 12 ARNA -12 -10 -12 13 ARTI 5 -1 -1 14 ASGR 3 3 7 15 ASII 39 -13 -38 16 ATPK 5 0 0 17 AUTO 7 6 5 18 BATI 2 3 4 19 BAYU 15 15 16 20 BHIT 8 0 0 21 BLTA 4 4 -2 22 BNBR 5 4 6 23 BRPT 5 17 0 24 BTEK 1 1 1 25 BTON 5 4 5 26 BUDI 27 19 6 27 BUMI -16 7 6 28 CEKA 4 3 7 29 CENT 1 1 1 30 CITA -2 -42 40 31 CLPI 5 5 7 32 CMPP -3 -4 -7 33 CNTX -11 7 45 34 CPIN 16 10 15 35 CTBN 0 6 7 36 DAVO 2 2 2 37 DSFI 10 -14 3 38 DSUC -4 -4 -3 39 DVLA 2 2 2 40 DYNA -15 -9 -210 41 ENRG 3 2 -1 42 EPMT 6 8 8 43 ERTX -11 -11 -8 44 ESTI 0 3 5 45 ETWA 29.423 15 10

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46 FAST 68 121 30 47 FORU 4 4 5 48 FPNI -2 -2 -1 49 GDYR 5 6 13 50 GEMA -82 -18 -41 51 GGRM 4 4 3 52 GSMF 2 2 3 53 HERO -36 -310 -82 54 HEXA 7 18 14 55 HMSP 7 8 6 56 IATG 3 5 15 57 IKAI -9 -2 -2 58 IMAS 32 -26 -10 59 INAF 5 6 6 60 INAI 8 4 6 61 INCI 1 1 1 62 INDF 9 0 -28 63 INDR 7 20 14 64 INDX 3 -2 0 65 INKP 3 5 11 66 INTA 2 1 1 67 INTP 4 7 5 68 ISAT 6 -11 -19 69 JECC -24 -30 201 70 JKSW 0 1 2 71 JSPT -5 -9 -3 72 KBLI -16 48 5 73 KBLM -22 -261 33 74 KDSI -26 -43 14 75 KICI 4 6 2 76 KKGI 1 0 1 77 KLBF 2 2 2 78 LAPD 2 22 10 79 LION 1 1 1 80 LMPI 3 2 2 81 LMSH 1 6 5 82 LPIN -4 -3 1 83 LPLI 0 0 0 84 LPPF 0 -3 -4 85 LTLS 12 23 -12 86 MAMI 4 3 4 87 MAPI 12 16 5 88 MDRN -11 22 9 89 MERK 3 3 2 90 META 2 -88 29 91 MIRA -18 -8 -1 92 MLBI -8 -5 -6 93 MLIA -1 0 0 94 MLPL 20 10 4 95 MPPA 20 9 4

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96 MRAT 1 1 1 97 MTDL 12 8 12 98 MTSM -2 -4 5 99 MYRX -3 -1 -1 100 OMRE -1 -1 -1 101 PANR 62 -98 124 102 PBRX 18 87 22 103 PGAS 1 11 16 104 PJAA 5 3 2 105 PLIN 3 1 1 106 PNSE 8 4 -5 107 POLY 0 0 0 108 PRAS 9 -2 36 109 PTBA 2 2 2 110 PTSP 9 9 16 111 PWON 36 -2 -101 112 PYFA 8 9 8 113 RALS 5 4 4 114 RICY 2 3 2 115 RIMO 9 -13 -20 116 RMBA 3 5 2 117 SAFE 0 -1 0 118 SAIP 0 0 -2 119 SCMA 2 2 2 120 SCPI -6 -4 -6 121 SIMA 4 3 -11 122 SIMM -33 -12 -56 123 SIPD 8 3 4 124 SMAR 10 8 5 125 SMCB 7 15 10 126 SMDR 4 5 4 127 SMSM 5 4 5 128 SONA 14 10 16 129 SQMI 0 0 -7 130 SRSN -8 7 7 131 SSTM -4 -3 -16 132 STTP 5 4 7 133 SUGI 2 2 2 134 SULI 10 9 15 135 TBLA 71 6 4 136 TBMS -44 1.140 -1.093 137 TGKA 12 12 13 138 TINS 5 5 3 139 TIRA 3 23 13 140 TIRT -119 12 5 141 TKGA -47 -34 -47 142 TLKM -13 -8 -13 143 TMPO 10 9 7 144 TOTO 11 9 7 145 TSPC 2 2 2

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146 UNSP 6 2 2

147 UNTR 7 17 10

148 VOKS 7 6 7

149 WAPO 5 4 3

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Lampiran 4

Data Arus Kas Operasi Perusahaan Sampel Tahun 2005-2007

No. Kode 2005 2006 2007 1 AALI 803.373.000.000 1.029.222.000.000 2.596.413.000.000 2 ABBA -10.591.974.633 14.731.548.486 -3.250.922.972 3 ADES -129.052.000.000 -129.172.000.000 -76.215.000.000 4 ADMG 288.951.745.000 -93.692.654.000 155.493.436.000 5 AIMS 2.338.024.720 15.595.001.667 -7.099.272.158 6 AKKU 5.159.927.438 -4.327.705.276 -2.126.775.144 7 AKPI 146.142.434.000 102.950.359.000 117.436.141.000 8 AKRA 60.049.520.000 237.284.360.000 220.433.195.000 9 ALFA 86.315.393.384 60.501.741.023 64.435.127.554 10 ANTM 790.652.690.000 1.690.317.242.000 4.835.907.373.000 11 APEX 270.582.509.000 471.704.509.000 669.573.110.000 12 ARNA 58.622.296.906 39.029.765.342 78.840.381.769 13 ARTI 3.399.974.415 -3.391.228.615 -5.837.773.863 14 ASGR 109.559.609.184 135.003.252.226 191.830.559.251 15 ASII 2.482.997.000.000 9.020.067.000.000 11.244.269.000.000 16 ATPK -494.353.236 -8.519.276.892 -112.628.324.414 17 AUTO 189.883.000.000 268.303.000.000 262.780.000.000 18 BATI 78.796.000.000 85.162.000.000 77.819.000.000 19 BAYU 4.671.397.902 -5.214.595.490 8.241.401.410 20 BHIT 129.302.388.597 148.248.000.000 233.179.000.000 21 BLTA 920.824.579.627 601.878.060.506 689.546.786.913 22 BNBR 83.766.146.000 218.278.102.000 648.925.963.000 23 BRPT -308.805.952.513 -244.015.939.487 54.786.000.000 24 BTEK -4.364.548.081 -1.126.866.056 -18.838.325.731 25 BTON 1.940.197.566 -322.476.554 3.991.756.121 26 BUDI 64.066.000.000 166.584.000.000 5.763.000.000 27 BUMI 1.611.457.000.000 395.892.040.000 1.899.595.460.000 28 CEKA 275.679.649 53.338.522.907 -93.671.017.770 29 CENT 13.873.278.818 14.687.251.175 15.979.464.262 30 CITA 9.636.272.499 24857501278 176.235.125.882 31 CLPI -18.344.589.843 -15.189.506.671 2.004.760.441 32 CMPP 32.870.908.275 6.878.578.692 6.656.887.187 33 CNTX 8.568.000.000 -23.518.000.000 -7.112.000.000 34 CPIN 299.154.000.000 96.088.000.000 -540.185.000.000 35 CTBN 73.454.790.000 244.792.970.000 126.968.090.000 36 DAVO 322.540.424.198 59.577.031.713 352.303.365.770 37 DSFI 2.425.235.796 11.770.628.120 -52.032.224.672 38 DSUC 7.638.801.008 31.298.248.670 92.856.376 39 DVLA 74.205.344.000 59.093.405.000 93.490.909.000 40 DYNA 92.682.493.997 82.348.144.410 96.293.740.389 41 ENRG 132.910.849.000 -110.697.981.000 50.537.798.000 42 EPMT 154.382.792.095 206.717.379.421 4.890.036.859 43 ERTX 48.743.084.000 37.728.579.000 -34.857.862.000 44 ESTI -19.087.242.642 -2.395.385.409 15.145.642.160

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45 ETWA -1.443.917.720 -16.051.648 1.910.723.734 46 FAST 96.807.797.000 165.956.759.000 233.817.124.000 47 FORU -3.753.201.081 10.419.798.569 4.186.528.774 48 FPNI -11.646.577.329 -3.949.405.394 -3.821.098.065 49 GDYR 42.331.593.000 61.168.900.000 90.984.856 50 GEMA -12.921.103.290 19.712.469.847 -23.038.636.882 51 GGRM 1.582.883.000.000 1.905.618.000.000 1.449.178.000.000 52 GSMF 77.037.695.000 86.790.953.000 73.562.338.000 53 HERO 45.237.000.000 87.918.000.000 253.587.000.000 54 HEXA -245.241.892.223 122.953.487.728 215.454.000.000 55 HMSP 2.058.731.000.000 3.538.693.000.000 1.786.380.000.000 56 IATG 15.856.636.669 -32.415.731.710 23.631.276.883 57 IKAI 46.997.792.086 23.731.760.767 16.098.853.281 58 IMAS -624.649.508.907 -51.934.328.695 -82.881.008.001 59 INAF -54.871.009.457 73.151.865.243 83.418.335.788 60 INAI -33.878.997.576 -83.399.010.371 -1.311.666.268 61 INCI -10.050.629.608 81.546.598 81.546.598 62 INDF 800.678.921.935 1.486.053.000.000 2.502.001.000.000 63 INDR 380.139.260.000 567.492.300.000 13.280.360.000 64 INDX -1.549.890.383 -579.740.746 -915.335.057 65 INKP 1.726.484.280.000 4.188.568.750.000 4.187.978.320.000 66 INTA 2.897.104.186 -54.476.324.766 34.794.324.996 67 INTP 1.360.802.881.943 1.195.324.531.649 1.403.488.344.089 68 ISAT 5.316.032.000.000 5.669.623.000.000 8.273.929.000.000 69 JECC -24.035.455.000 -2.409.289.000 -13.578.928.000 70 JKSW 20.810.106.384 14.765.289.630 68.880.075.671 71 JSPT 30.328.573.511 1.753.636.009 132.591.710.164 72 KBLI 6.686.725.053 16.255.364.746 34.821.030.497 73 KBLM 11.599.365.299 3.846.052.901 8.173.644.296 74 KDSI 18.272.383.900 28.783.368.497 16.407.376.449 75 KICI 1.242.075.755 -3.620.254.157 -6.526.829.115 76 KKGI 6.737.823.903 5.407.549.732 24.895.290.667 77 KLBF 534.289.366.670 640.610.354.353 362.898.238.846 78 LAPD -3.758.224.789 500.890.265 -1.279.818.057 79 LION -4.130.489.019 26.486.098.319 13.321.147.405 80 LMPI 47.385.673 6.105.983.699 14.710.781.055 81 LMSH -547.289.814 978.767.179 -312.236.970 82 LPIN -7.269.571.283 -2.591.579.164 9.619.190.438 83 LPLI 510.645.000.000 45.233.000.000 -52.204.000.000 84 LPPF 1.646.834.254 4.238.229.734 9.860.608.729 85 LTLS -66.650.000.000 43.467.000.000 51.188.000.000 86 MAMI 5.122.530.824 6.108.335.853 4.764.390.755 87 MAPI 47.296.853.000 212.128.904.000 344.625.477.000 88 MDRN 99.173.565.938 84.289.257.551 -55.710.740.671 89 MERK 38.992.358.000 116.776.903.000 110.966.960.000 90 META 614.967.258 41.217.204.049 28.970.346.774 91 MIRA 9.144.963.756 10.250.712.468 -44.544.156.059 92 MLBI 144.525.000.000 166.742.000.000 227.271.000.000 93 MLIA 181.293.225.000 114.912.303.000 166.539.874.000 94 MLPL 431.306.000.000 509.294.000.000 1.363.551.000.000

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95 MPPA 385.370.000.000 504.895.000.000 1.267.586.000.000 96 MRAT 11.719.905.701 2.333.316.545 16.550.490.276 97 MTDL 74.039.434.031 11.796.497.949 -93.361.429.662 98 MTSM 4.667.220.822 11.100.965.191 1.960.614.156 99 MYRX 103.448.410.323 104.959.990.395 42.526.616.410 100 OMRE 52.130.833.109 81.549.671.182 55.639.743.663 101 PANR 14.163.315.000 23.200.340.000 4.959.216.000 102 PBRX -21.795.386.155 -76.926.375.182 -94.554.708.018 103 PGAS 1.605.088.333.101 2.341.911.321.863 2.926.542.619.715 104 PJAA 109.618.390.574 132.357.703.799 186.086.398.277 105 PLIN 284.389.248.000 167.426.544.000 129.977.602.000 106 PNSE 25.952.766.498 2.703.616.610 28.548.454.162 107 POLY -99.503.354.397 -881.326.274.910 60.036.445.610 108 PRAS 34.062.824.423 57.252.571.683 75.870.180.744 109 PTBA 341.062.000.000 337.497.000.000 1.367.801.000.000 110 PTSP 9.906.389.872 5.872.939.011 22.635.617.556 111 PWON 161.090.234.000 176.173.370.000 47.303.232.000 112 PYFA 1.574.217.070 -2.704.440.928 2.154.893.240 113 RALS 70.069.000.000 642.443.000.000 537.619.000.000 114 RICY 10.305.568.501 11.539.802.862 47.027.877.572 115 RIMO 483.154.898 -4.128.711.191 -941.308.246 116 RMBA 121.744.343.283 -115.042.512.289 -552.085.102.941 117 SAFE -4.083.750.446 1.426.384.605 7.158.614.496 118 SAIP 5.013.972.362 -4.543.625.804 526.651.076.726 119 SCMA 96.177.166.000 161.508.136.000 142.122.367.000 120 SCPI -11.639.595.737 -13.580.387.028 -4.920.893.506 121 SIMA 6.905.028.628 360.535.551 4.378.330.477 122 SIMM 639.087.308 1.939.865.829 -1.850.070.403 123 SIPD -18.265.136.081 -2.788.725.431 -70.005.643.267 124 SMAR 148.253.509.109 375.602.309.648 183.590.149.938 125 SMCB 213.564.000.000 452.822.000.000 864.468.000.000 126 SMDR 782.026.238.000 25.891.476.000 412.348.397.000 127 SMSM 153.723.622.176 74.242.454.642 105.958.006.338 128 SONA 56.513.059.785 11.642.778.037 101.640.443.121 129 SQMI 2.738.099.296 180.939.732 -5.725.155.403 130 SRSN 5.378.577.000 36.207.096.000 46.189.938.000 131 SSTM -14.326.596.639 16.743.008.321 -19.082.633.505 132 STTP 5.095.764.447 13.927.318.682 5.275.606.873 133 SUGI 1.236.740.267 7.944.022.011 2.939.474.887 134 SULI 40.471.965.491 -69.476.876.807 -66.752.440.537 135 TBLA 219.863.657.000 364.180.938 -55.829.318.000 136 TBMS 46.886.646.445 -61.446.650.211 -61.446.650.211 137 TGKA -80.984.982.607 -61.130.667.170 -93.591.599.961 138 TINS 152.304.000.000 -193.167.000.000 2.405.781.000.000 139 TIRA 901.106.376 24.376.829.463 18.758.671.058 140 TIRT -132.819.185.794 71.850.849.724 -99.973.970.266 141 TKGA 4.746.982.988 1.885.596.243 12.243.670.276 142 TLKM 26.955.575.000.000 26.695.188.000.000 27.727.272.000.000 143 TMPO -8.553.076.000 5.268.616.000 14.294.129.000 144 TOTO 45.675.277.564 99.309.247.387 79.856.791.203

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145 TSPC 297.704.290.027 234.892.877.849 294.712.577.526 146 UNSP 175.125.565 117.057.265.000 184.247.294.000 147 UNTR 1.048.518.000.000 1.623.773.000.000 2.657.778.000.000 148 VOKS 45.480.022.116 -25.373.675.915 -3.030.549.828 149 WAPO -6.356.476.745 -22.755.889.242 -1.964.658.993 150 ZBRA 14.815.773.538 -1.906.091.053 -389.813.992

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Lampiran 5

Data Likuiditas Perusahaan Sampel Tahun 2005-2007

No. Kode 2005 2006 2007 1 AALI 1,70 0,87 1,60 2 ABBA 1,43 1,18 1,51 3 ADES 0,22 0,12 0,34 4 ADMG 4,25 3,10 2,41 5 AIMS 1,30 1,35 1,94 6 AKKU 2,81 1,18 1,23 7 AKPI 1,66 1,94 1,25 8 AKRA 1,36 1,13 1,16 9 ALFA 1,38 1,84 1,27 10 ANTM 2,68 2,81 4,47 11 APEX 3,45 4,63 2,60 12 ARNA 0,77 0,79 0,77 13 ARTI 1,23 0,82 0,81 14 ASGR 3,33 2,43 1,34 15 ASII 1,11 0,78 0,91 16 ATPK 6,09 0,74 7,07 17 AUTO 1,71 1,75 2,16 18 BATI 2,12 1,82 1,57 19 BAYU 1,76 1,88 1,64 20 BHIT 1,05 1,61 3,50 21 BLTA 1,46 1,53 0,70 22 BNBR 1,47 1,94 1,25 23 BRPT 1,18 1,05 2,02 24 BTEK 11,30 5,28 162,52 25 BTON 6,24 2,83 3,15 26 BUDI 1,11 1,25 1,49 27 BUMI 0,85 1,33 1,42 28 CEKA 1,66 3,47 1,36 29 CENT 13,40 18,42 28,19 30 CITA 0,44 0,94 1,11 31 CLPI 1,93 1,87 1,64 32 CMPP 0,52 0,68 0,78 33 CNTX 0,84 1,40 1,03 34 CPIN 1,32 1,54 1,23 35 CTBN 1,80 1,51 1,54 36 DAVO 24,40 5,98 9,27 37 DSFI 1,27 0,89 1,67 38 DSUC 0,62 0,55 0,44 39 DVLA 3,50 4,69 5,36 40 DYNA 0,84 0,74 0,99 41 ENRG 1,91 1,82 0,65 42 EPMT 2,00 1,84 1,91 43 ERTX 0,79 0,78 0,69 44 ESTI 23,88 1,99 1,39

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45 ETWA 1,00 1,44 2,18 46 FAST 1,14 1,07 1,28 47 FORU 2,15 2,05 1,72 48 FPNI 0,36 0,40 0,14 49 GDYR 2,21 2,23 1,35 50 GEMA 0,98 0,89 0,96 51 GGRM 1,73 1,89 1,93 52 GSMF 1,40 1,40 1,32 53 HERO 0,85 0,98 0,93 54 HEXA 1,32 1,11 1,15 55 HMSP 1,71 1,68 1,78 56 IATG 4,52 7,14 1,35 57 IKAI 0,89 0,65 0,72 58 IMAS 1,07 0,95 0,84 59 INAF 1,62 1,48 1,31 60 INAI 1,29 1,82 1,45 61 INCI 7,72 6,90 6,55 62 INDF 1,47 0,12 0,92 63 INDR 1,43 1,12 1,18 64 INDX 3,39 0,79 1,41 65 INKP 2,82 1,70 1,28 66 INTA 1,99 3,37 2,57 67 INTP 2,52 2,14 2,96 68 ISAT 1,39 0,83 0,93 69 JECC 0,93 0,94 1,01 70 JKSW 0,18 7,96 2,25 71 JSPT 0,78 0,85 0,61 72 KBLI 0,87 1,07 2,56 73 KBLM 0,88 0,99 1,05 74 KDSI 0,90 0,98 1,24 75 KICI 1,42 1,27 6,27 76 KKGI 2,41 3,59 2,03 77 KLBF 4,05 5,04 4,98 78 LAPD 2,61 1,16 1,19 79 LION 6,24 6,06 5,41 80 LMPI 2,06 4,11 2,90 81 LMSH 1,76 1,81 1,85 82 LPIN 0,79 0,80 1,70 83 LPLI 1,15 1,26 54,41 84 LPPF 0,10 0,59 0,46 85 LTLS 1,22 1,11 0,83 86 MAMI 2,92 3,48 2,63 87 MAPI 1,35 1,21 2,15 88 MDRN 0,79 1,10 1,31 89 MERK 4,72 5,42 6,17 90 META 5,01 0,97 1,20 91 MIRA 0,83 0,63 0,49 92 MLBI 0,68 0,53 0,59 93 MLIA 0,27 0,19 0,18 94 MLPL 1,24 1,36 2,16

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95 MPPA 1,29 1,62 2,25 96 MRAT 7,00 9,25 7,68 97 MTDL 1,41 1,52 1,28 98 MTSM 0,26 0,47 1,56 99 MYRX 0,57 0,27 0,15 100 OMRE 0,21 0,11 0,11 101 PANR 1,11 0,94 1,05 102 PBRX 1,22 1,04 1,13 103 PGAS 3,59 1,46 1,17 104 PJAA 1,63 2,55 2,65 105 PLIN 1,53 4,16 4,17 106 PNSE 1,36 1,69 0,73 107 POLY 0,09 0,12 0,12 108 PRAS 1,23 0,01 1,05 109 PTBA 4,51 5,44 4,43 110 PTSP 2,04 1,97 1,46 111 PWON 1,04 0,51 0,98 112 PYFA 1,41 1,44 1,45 113 RALS 2,87 3,16 2,81 114 RICY 2,75 2,06 1,94 115 RIMO 1,42 0,70 0,85 116 RMBA 2,21 1,61 3,72 117 SAFE 0,05 0,87 0,07 118 SAIP 0,04 0,04 0,38 119 SCMA 3,29 3,56 2,05 120 SCPI 0,69 0,66 0,77 121 SIMA 2,14 2,67 0,77 122 SIMM 0,97 0,88 0,96 123 SIPD 1,95 3,79 2,41 124 SMAR 1,45 1,52 1,72 125 SMCB 1,68 1,23 1,33 126 SMDR 2,67 2,21 2,27 127 SMSM 1,96 1,99 1,71 128 SONA 1,17 1,25 1,17 129 SQMI 5,32 5,38 0,88 130 SRSN 0,80 1,34 1,33 131 SSTM 0,72 0,69 0,92 132 STTP 2,15 2,69 1,77 133 SUGI 3,24 3,02 2,93 134 SULI 1,36 1,20 1,15 135 TBLA 1,05 1,48 1,81 136 TBMS 0,91 1,00 1,00 137 TGKA 1,46 1,35 1,30 138 TINS 1,83 1,58 2,91 139 TIRA 1,83 1,06 1,14 140 TIRT 0,98 1,16 1,86 141 TKGA 0,59 0,47 0,62 142 TLKM 0,76 0,68 0,77 143 TMPO 1,38 1,49 1,66 144 TOTO 1,21 1,27 1,35

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145 TSPC 3,80 4,39 4,05 146 UNSP 2,09 3,55 3,17 147 UNTR 1,56 10,95 1,34 148 VOKS 1,63 1,75 1,39 149 WAPO 1,33 1,41 1,47 150 ZBRA 0,35 0,39 0,36

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Lampiran 6

Statistik Deskriptif Sebelum Transformasi dengan Logaritma Natural

Descriptive Statistics

N Minimum Maximum Mean Std. Deviation Likuiditas 377 .013615629761 2.96017784 1106E0 1.3089741 7617624E0 .641441969352 200

Total aktiva 377 556667431 8.E13 4.01E12 1.042E13

Perputaran Modal Kerja

377 -1.093247550527E3 2.94228406 7648E4 7.9164461 3053226E1 1.51785606304 1728E3

Arus Kas Operasi 377 -9.E11 3.E13 5.27E11 2.623E12

Valid N (listwise) 377

Statistik Deskriptif Setelah Transformasi dengan Logaritma Natural

Descriptive Statistics

N Minimum Maximum Mean Std. Deviation

LN_Y 377 -4.30 1.09 .0850 .74332

LN_X1 377 20.14 32.04 27.4276 1.75462

LN_X2 251 -1.98 10.29 1.9789 1.17818

LN_X3 281 17.67 30.95 24.7913 2.34362

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Lampiran 7

Hasil Uji Normalitas Sebelum Transformasi Dengan Logaritma Natural

(23)

Lampiran 7(lanjutan)

Hasil Uji Normalitas Sebelum Trimming

(24)

Lampiran 7(lanjutan)

(25)

Lampiran 7 (Lanjutan)

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Lampiran 7 (lanjutan)

Hasil Uji Normalitas Sebelum Trimming

One-Sample Kolmogorov-Smirnov Test

Unstandardized Residual

N 377

Normal Parametersa Mean .0000000

Std. Deviation .63875859

Most Extreme Differences Absolute .061

Positive .061

Negative -.034

Kolmogorov-Smirnov Z 1.190

Asymp. Sig. (2-tailed) .118

a. Test distribution is Normal. b Calculated from data.

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Lampiran 7 (lanjutan)

Hasil Uji Multikolinearitas Sebelum Transformasi Logaritma Natural

Model Unstandardized Coefficients Standardized Coefficients t Sig. Collinearity Statistics

B Std. Error Beta Tolerance VIF

1 (Constant) 1.299 .036 35.949 .000 Total aktiva 7.682E-15 .000 .125 1.355 .176 .313 3.192 Perputaran Modal Kerja -8.998E-6 .000 -.021 -.413 .680 1.000 1.000 Arus Kas Operasi -3.867E-14 .000 -.158 -1.717 .087 .313 3.192 b. Dependent Variable: Likuiditas

Sumber: Data yang diolah penulis, 2009

Coefficient Correlationsa

Model

Arus Kas Operasi

Perputaran

Modal Kerja Total aktiva

1 Correlations Arus Kas Operasi 1.000 -.007 -.829

Perputaran Modal Kerja -.007 1.000 .016

Total aktiva -.829 .016 1.000

Covariances Arus Kas Operasi 5.074E-28 -3.212E-21 -1.059E-28 Perputaran Modal Kerja -3.212E-21 4.750E-10 1.926E-21 Total aktiva -1.059E-28 1.926E-21 3.217E-29

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Lampiran 7 (Lanjutan)

Hasil Uji Multikolinearitas Setelah Transformasi Logaritma Natural

Coefficientsa Model Unstandardized Coefficients Standardized Coefficients t Sig. Collinearity Statistics

B Std. Error Beta Tolerance VIF

1 (Constant) .893 .295 3.027 .003

LN_X1 -.005 .017 -.029 -.302 .763 .359 2.782

LN_X2 -.171 .016 -.615 -10.519 .000 .974 1.027

LN_X3 .002 .012 .018 .187 .852 .361 2.767

a. Dependent Variable: LN_Y

Coefficient Correlationsa Model LN_X3 LN_X2 LN_X1 1 Correlations LN_X3 1.000 -.142 -.799 LN_X2 -.142 1.000 .159 LN_X1 -.799 .159 1.000 Covariances LN_X3 .000 -2.710E-5 .000 LN_X2 -2.710E-5 .000 4.308E-5 LN_X1 .000 4.308E-5 .000

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Lampiran 7 (lanjutan)

Hasil Uji Heterokedastisitas Sebelum Transformasi Logaritma Natural

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Lampiran 8

Sebelum Transformasi dengan Logaritma Natural

Model Summaryb Model R R Square Adjusted R Square Std. Error of the Estimate Durbin-Watson 1 .091a .008 .000 .6413221782998 54 1.808

a. Predictors: (Constant), Arus Kas Operasi, Perputaran Modal Kerja, Total aktiva b. Dependent Variable: Likuiditas

ANOVAb

Model Sum of Squares df Mean Square F Sig.

1 Regression 1.292 3 .431 1.047 .372a

Residual 153.413 373 .411

Total 154.704 376

a. Predictors: (Constant), Arus Kas Operasi, Perputaran Modal Kerja, Total aktiva b. Dependent Variable: Likuiditas

Sebelum Transformasi dengan Logaritma Natural

Model Summaryb Model R R Square Adjusted R Square Std. Error of the Estimate Durbin-Watson 1 .612a .375 .365 .22630 2.077 a. Predictors: (Constant), LN_X3, LN_X2, LN_X1 b. Dependent Variable: LN_Y

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Lampiran 8 (Lanjutan)

ANOVAb

Model Sum of Squares df Mean Square F Sig.

1 Regression 5.772 3 1.924 37.569 .000a

Residual 9.627 188 .051

Total 15.399 191

a. Predictors: (Constant), LN_X3, LN_X2, LN_X1 b. Dependent Variable: LN_Y

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Lampiran 9

Tabel t dengan Signifikansi 5%

df t table df t table df t table df t table

1. 12,7062 25. 2,059539 49 2,009575 73 1,992997 2. 4,302653 26. 2,055529 50 2,008559 74 1,992543 3. 3,182446 27. 2,05183 51 2,007584 75 1,992102 4. 2,776445 28. 2,048407 52 2,006647 76 1,991673 5. 2,570582 29. 2,04523 53 2,005746 77 1,991254 6. 2,446912 30. 2,042272 54 2,004879 78 1,990847 7. 2,364624 31. 2,039513 55 2,004045 79 1,99045 8. 2,306004 32. 2,036933 56 2,003241 80 1,990063 9. 2,262157 33. 2,034515 57 2,002465 81 1,989686 10. 2,228139 34. 2,032244 58 2,001717 82 1,989319 11. 2,200985 35. 2,030108 59 2,000995 83 1,98896 12. 2,178813 36. 2,028094 60 2,000298 84 1,98861 13. 2,160369 37. 2,026192 61 1,999624 85 1,988268 14. 2,144787 38. 2,024394 62 1,998971 86 1,987934 15. 2,13145 39. 2,022691 63 1,998341 87 1,987608 16. 2,119905 40. 2,021075 64 1,99773 88 1,98729 17. 2,109816 41. 2,019541 65 1,997138 89 1,986979 18. 2,100922 42. 2,018082 66 1,996564 90 1,986674 19. 2,093024 43. 2,016692 67 1,996008 91 1,986377 20. 2,085963 44. 2,015368 68 1,995469 92 1,986086 21. 2,079614 45. 2,014103 69 1,994945 93 1,985802 22. 2,073873 46. 2,012896 70 1,994437 94 1,985523 23. 2,068658 47. 2,01174 71 1,993943 95 1,985251 24. 2,063899 48 2,010635 72 1,993464 96 1,984984

(33)

df t table df t table df t table df t table 97 1,984723 120 1,97993 143 1,976692 166 1,974358 98 1,984467 121 1,979764 144 1,976575 167 1,974271 99 1,984217 122 1,9796 145 1,97646 168 1,974185 100 1,983971 123 1,979439 146 1,976346 169 1,9741 101 1,983731 124 1,97928 147 1,976233 170 1,974017 102 1,983495 125 1,979124 148 1,976122 171 1,973934 103 1,983264 126 1,978971 149 1,976013 172 1,973852 104 1,983037 127 1,97882 150 1,975905 173 1,973771 105 1,982815 128 1,978671 151 1,975799 174 1,973691 106 1,982597 129 1,978524 152 1,975694 175 1,973612 107 1,982383 130 1,97838 153 1,97559 176 1,973534 108 1,982173 131 1,978239 154 1,975488 177 1,973457 109 1,981967 132 1,978099 155 1,975387 178 1,973381 110 1,981765 133 1,977961 156 1,975287 179 1,973305 111 1,981567 134 1,977826 157 1,975189 180 1,973231 112 1,981372 135 1,977692 158 1,975092 181 1,973157 113 1,98118 136 1,977561 159 1,974996 182 1,973084 114 1,980992 137 1,977431 160 1,974902 183 1,973012 115 1,980807 138 1,977304 161 1,974808 184 1,972941 116 1,980626 139 1,977178 162 1,974716 185 1,97287 117 1,980448 140 1,977054 163 1,974625 186 1,9728 118 1,980272 141 1,976931 164 1,974535 187 1,972731 119 1,9801 142 1,976811 165 1,974446 188 1,972663

(34)

Lampiran 9 (lanjutan)

Tabel F dengan Signifikansi 5%

n = 1 2 3 df = 1 161.447638 199.5 215.707345 2 18.512820 19 19.164292 3 10.127964 9.552094 9.276628 4 7.708647 6.944271 6.591382 5 6.607890 5.786135 5.409451 6 5.987377 5.143252 4.757062 7 5.591447 4.737414 4.346831 8 5.317655 4.458970 4.066180 9 5.117355 4.256494 3.862548 10 4.964602 4.102821 3.708264 11 4.844335 3.982297 3.587433 12 4.747225 3.885293 3.490294 13 4.667192 3.805565 3.410533 14 4.600109 3.738891 3.343888 15 4.543077 3.682320 3.287382 20 4.351243 3.492828 3.098391 25 4.241698 3.385189 2.991240 30 4.170876 3.315829 2.922277 35 4.121338 3.267423 2.874187 40 4.084745 3.231726 2.838745 45 4.056612 3.204317 2.811543 100 3.936142 3.087295 2.695534 150 3,904202 3,056366 2,664907 170 3,896742 3,049149 2,657762 171 3,896415 3,048833 2,657449 172 3,896092 3,04852 2,65714 173 3,895773 3,048212 2,656834 174 3,895458 3,047906 2,656532 175 3,895146 3,047605 2,656234 176 3,894838 3,047307 2,655939 177 3,894533 3,047012 2,655647 178 3,894232 3,046721 2,655359 179 3,893934 3,046433 2,655074 180 3,89364 3,046148 2,654792 181 3,893349 3,045866 2,654513 182 3,893061 3,045588 2,654237 183 3,892776 3,045312 2,653965 184 3,892494 3,04504 2,653695 185 3,892216 3,044771 2,653428 186 3,89194 3,044504 2,653165 187 3,891668 3,04424 2,652904 188 3,891398 3,04398 2,652646

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