digital_123719-SK 010 09 Hid a - Analisis kemampuan-Lampiran

digital_123719-SK 010 09 Hid a - Analisis...

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Unformatted text preview: 75 Lampiran 1 Data Sampel Penelitian Klasifikasi Industri Manufaktur tahun 2004-2006 No 11 12 13 14 15 16 17 18 19 Nama perusahaan Food and Beverages Ades Waters Indonesia Tbk Aqua Golden Mississippi Tbk Cahaya Kalbar Tbk Davomas Abadi Tbk Delta Djakarta Tbk Fast Food Indonesia Tbk Indofood Sukses Makmur Tbk Mayora Indah Tbk Multi Bintang Indonesia Tbk Pioneerindo Gourmet International (d/h Putra Sejahtera Pioneerindo) Tbk Prasidha Aneka Niaga Tbk Sekar Laut Tbk Siantar TOP Tbk Sierad Produce Tbk SMART Tbk Suba Indah Tbk Tiga Pilar Sejahtera Food (d/h Asia Intiselera) Tbk Tunas Baru Lampung Tbk Ultra Jaya Milk Tbk 20 21 22 23 Tobacco Manufacturers BAT Indonesia Tbk Bentoel International Investama Tbk Gudang Garam Tbk HM Sampoerna Tbk 24 25 26 27 28 29 30 31 32 Textile Mill Products Argo Pantes Tbk Century Textile Industry (Centex) Tbk Eratex Djaja Tbk Panasia Filament Inti Tbk Panasia Indosyntec Tbk Roda Vivatex Tbk Sunson Textile Manufacture Tbk Textile Manufacturing Company Jaya (Texmaco Jaya) Tbk TIFICO Tbk 1 2 3 4 5 6 7 8 9 10 Apparel and Other Textile Products Analisis kemampuan laba ..., Nur Hidayati, FISIP UI, 2009 Universitas Indonesia 76 33 34 35 36 37 38 39 40 41 42 43 44 45 APAC Citra Centertex Tbk Delta Dunia Petroindo Tbk Ever Shine Textile Industry Tbk Fortune Mate Indonesia Tbk Hanson International Tbk Indo Acidatama (d/h Sarasa Nugraha) Tbk Indorama Syntetics Tbk Karwell Indonesia Tbk Pan Brothers Tex Tbk Primarindo Asia Infrastructure Tbk Ricky Putra Globalindo Tbk Sepatu Bata Tbk Surya Intrindo Makmur Tbk 46 47 48 49 50 Lumber and Wood Products Barito Pacific Timber Tbk Daya Sakti Unggul Corporation Tbk Sumalindo Lestari Jaya Tbk Surya Dumai Industri Tbk Tirta Mahakam Resources Tbk 51 52 53 54 55 Paper and Allied Products Fajar Surya Wisesa Tbk Indah Kiat Pulp & Paper Tbk Pabrik Kertas Tjiwi Kimia Tbk Suparma Tbk Surabaya Agung Industry Pulp Tbk 56 57 58 59 60 61 62 63 Chemical and Allied Products AKR Corporindo Tbk Budi Acid Jaya Tbk Colorpak Indonesia Tbk Eterindo Wahanatama Tbk Lautan Luas Tbk Polysindo Eka Perkasa Tbk Sorini Agro Asia Corporindo (d/h Sorini Corporation) Tbk Unggul Indah Cahaya Tbk 64 65 66 67 Adhesive Duta Pertiwi Nusantara Tbk Ekadharma International Tbk Intanwijaya Internasional Tbk Resource Alam Indonesia (d/h Kurnia Kapuas Utama Glue Industries) Tbk 68 69 Plastics and Glass Products Aneka Kemasindo Utama Tbk Argha Karya Prima Industry Tbk Analisis kemampuan laba ..., Nur Hidayati, FISIP UI, 2009 Universitas Indonesia 77 70 71 72 73 74 75 76 77 78 79 Asahimas Flat Glass Tbk Asiaplast Industries Tbk Berlina Tbk Dynaplast Tbk Fatrapolindo Nusa Industri Tbk Kageo Igar Jaya (d/h Igarjaya) Tbk Langgeng Makmur Plastik Industry Ltd Tbk Lapindo International Tbk Siwani Makmur Tbk Trias Sentosa Tbk 80 81 82 Cement Holcim Indonesia Tbk Indocement Tunggal Prakarsa Tbk Semen Gresik (Persero) Tbk 83 84 85 86 87 88 89 90 91 92 93 Metal and Allied Products Alumindo Light Metal Industry Tbk Betonjaya Manunggal Tbk Citra Tubindo Tbk Indal Aluminium Industry Tbk Jakarta Kyoei Steel Works Tbk Jaya Pari Steel Tbk Lion Mesh Prima Tbk Lion Metal Works Tbk Pelangi Indah Canindo Tbk Tembaga Mulia Semanan Tbk Tira Austenite Tbk 94 95 Fabricated Metal Products Kedaung Indah Can Tbk Kedawung Setia Industrial Tbk 96 97 98 99 Stone, Clay, Glass and Concrete Products Arwana Citramulia Tbk Intikeramik Alamasri Industry Tbk Mulia Industrindo Tbk Surya Toto Indonesia Tbk 100 101 102 103 104 105 Cables GT Kabel Indonesia Tbk Jembo Cable Company Tbk Kabelindo Murni Tbk Sucaco Tbk Sumi Indo Kabel Tbk Voksel Electric Tbk Analisis kemampuan laba ..., Nur Hidayati, FISIP UI, 2009 Universitas Indonesia 78 Electronic and Office Equipment 106 Astra Graphia Tbk 107 Metrodata Electronics Tbk 108 Multipolar Corporation Tbk 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 Automotive and Allied Products Astra International Tbk Astra Otoparts Tbk Branta Mulia Tbk Gajah Tunggal Tbk Goodyear Indonesia Tbk Hexindo Adiperkasa Tbk Indomobil Sukses Internasional Tbk Indospring Tbk Intraco Penta Tbk Multi Prima Sejahtera Tbk Multistrada Arah Sarana Tbk Nipress Tbk Polychem Indonesia (d/h GT Petrochem Industries) Tbk Prima Alloy Steel Tbk Sanex Qianjiang Motor International Tbk Selamat Sempurna Tbk Sugi Samapersada Tbk Tunas Ridean Tbk United Tractors Tbk Photographic Equipment 128 Inter Delta Tbk 129 Modern Photo Film Company Tbk 130 Perdana Bangun Pusaka Tbk 131 132 133 134 135 136 137 138 139 Pharmaceuticals Bristol-Myers Squibb Indonesia Tbk Darya-Varia Laboratoria Tbk Indofarma Tbk Kalbe Farma Tbk Kimia Farma Tbk Merck Tbk Pyridam Farma Tbk Schering Plough Indonesia Tbk Tempo Scan Pacific Tbk Consumer Goods 140 Mandom Indonesia Tbk 141 Mustika Ratu Tbk 142 Unilever Indonesia Tbk Sumber : Indonesian Capital Market Directory, Company List Analisis kemampuan laba ..., Nur Hidayati, FISIP UI, 2009 Universitas Indonesia 79 Lampiran 2 Lampiran 2 Total Aktiva (Dalam jutaan Rupiah) No 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 Kode ADES ADMG AISA AKKU AKPI AKRA ALMI AMFG APLI AQUA ARGO ARNA ASGR ASII AUTO BATA BATI BIMA BRAM BRNA BRPT BTON BUDI CEKA CLPI CNTX CTBN DAVO DLTA DOID DPNS DSUC DVLA DYNA EKAD ERTX ESTI ETWA FAST FASW FMII 2004 106.554 4.549.288 342.438 37.628 1.425.757 1.692.906 890.974 1.564.030 309.087 671.108 1.759.150 295.971 571.015 39.145.053 2.436.481 260.734 699.607 80.841 1.710.352 406.984 3.339.809 28.780 345.795 192.229 82.470 314.851 646.041 1.577.950 455.243 830.457 150.357 415.115 431.173 998.117 63.486 297.188 543.566 489.392 321.983 2.628.414 98.992 Analisis kemampuan laba ..., Nur Hidayati, FISIP UI, 2009 2005 2006 210.052 4.431.915 357.786 41.378 1.463.009 1.979.763 805.745 1.565.679 292.309 732.354 1.954.646 364.794 518.804 61.166.666 3.028.465 305.779 681.787 86.678 1.709.355 398.392 2.290.291 27.721 978.597 328.249 107.668 336.618 1.064.008 1.746.895 537.785 924.454 143.512 396.039 550.629 1.073.712 74.768 298.199 589.887 469.923 377.905 2.881.808 146.994 233.253 3.987.067 363.933 51.236 1.460.273 2.377.340 1.249.710 1.629.669 267.424 795.244 1.960.252 478.778 584.839 57.929.290 3.028.160 271.461 611.963 103.963 1.530.173 408.108 1.739.140 33.674 931.614 280.807 133.360 390.777 1.580.619 2.707.801 577.411 824.158 146.045 322.076 557.338 1.123.946 74.647 307.056 530.647 516.338 483.575 3.421.892 147.810 Universitas Indonesia 80 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 FPNI GDYR GGRM GJLT HDTX HEXA HMSP IGAR IKAI IKBI IMAS INAF INAI INCI INDF INDR INDS INKP INTA INTD INTP JECC JKSW JPRS KAEF KARW KBLI KBLM KDSI KICI KKGI KLBF KONI LAPD LION LMPI LMSH LPIN LTLS MASA MDRN MERK MLBI MLIA MLPL MRAT MTDL MYOR MYRX MYTX 365.692 440.841 20.591.389 6.341.117 1.113.478 636.108 11.699.265 283.711 751.317 445.145 3.361.172 523.923 406.707 179.909 15.673.355 5.188.122 350.971 49.975.628 780.041 33.434 9.771.011 302.022 310.673 245.437 1.173.438 514.619 365.436 233.535 378.220 169.917 224.726 4.231.054 66.849 44.658 146.703 509.105 42.747 129.580 1.426.798 794.257 583.425 200.466 553.081 4.411.869 4.872.881 294.415 611.041 1.280.645 713.330 2.581.650 Analisis kemampuan laba ..., Nur Hidayati, FISIP UI, 2009 332.417 458.737 22.128.851 7.479.373 1.036.533 1.069.514 11.934.600 274.804 703.629 548.245 4.606.194 518.824 476.734 179.211 14.786.084 5.503.482 459.703 51.617.367 869.208 31.328 10.536.380 322.662 289.447 204.990 1.177.603 492.063 489.802 259.791 384.928 161.454 231.505 4.633.399 66.232 46.793 165.030 505.172 42.145 117.059 1.608.866 1.083.291 876.523 218.034 575.385 4.115.990 5.480.658 290.646 666.604 1.459.969 753.108 2.399.773 329.078 454.851 21.733.034 7.276.025 1.108.896 1.204.104 12.659.804 290.145 682.345 590.296 4.418.692 686.937 534.462 172.782 16.112.493 5.352.243 490.604 47.646.020 831.846 28.270 9.598.280 362.648 263.493 189.384 1.261.225 321.196 441.085 279.438 439.737 140.214 198.083 4.624.619 66.230 49.198 187.689 508.865 43.588 108.746 1.830.516 1.433.688 893.725 282.699 610.437 3.780.131 7.479.242 291.769 740.800 1.553.377 669.270 2.234.513 Universitas Indonesia 81 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 NIPS PAFI PBRX PICO POLY PRAS PSDN PTSP PYFA RDTX RICY RMBA SAIP SCCO SCPI SIMA SIMM SIPD SKLT SMAR SMCB SMGR SMSM SOBI SPMA SQBI SQMI SRSN SSTM STTP SUGI SULI TBLA TBMS TCID TEJA TFCO TIRA TIRT TKIM TOTO TRST TSPC TURI ULTJ UNIC UNTR UNVR VOKS 189.086 693.615 127.784 243.302 6.555.484 438.200 179.603 84.439 70.429 71.684 226.012 1.956.823 2.225.461 610.572 58.503 56.764 135.140 1.254.008 112.336 3.972.684 7.520.403 6.665.831 650.930 533.875 1.312.961 193.718 91.141 278.051 923.895 470.177 21.669 1.163.350 1.352 710.413 472.364 598.618 2.535.199 180.602 808.567 19.654.844 708.560 1.911.757 2.148.839 2.002.792 1.300.239 2.870.803 6.769.367 3.647.098 409.269 Analisis kemampuan laba ..., Nur Hidayati, FISIP UI, 2009 190.225 693.615 390.216 251.143 6.093.780 561.115 284.336 76.412 76.551 364.828 417.333 1.842.317 2.121.633 694.151 74.023 65.112 130.829 1.157.773 94.436 4.597.227 7.324.210 7.297.859 663.138 596.642 1.320.219 165.022 80.159 338.344 898.039 477.443 49.729 1.242.449 1.451.439 835.562 545.695 525.499 2.669.042 180.277 856.924 20.709.412 847.605 2.104.464 2.345.760 3.011.591 1.254.444 2.698.410 10.633.839 3.842.351 414.293 220.228 664.011 553.846 270.734 5.848.629 593.160 288.085 75.759 83.127 533.788 516.488 2.347.942 2.202.306 673.668 98.874 68.544 145.922 1.113.796 94.770 5.311.931 7.065.846 7.496.419 716.686 642.315 1.381.434 207.136 70.754 330.445 878.135 467.491 50.328 1.520.602 2.049.163 955.614 672.197 442.471 2.523.042 244.958 570.117 19.102.295 908.168 2.020.478 2.479.251 2.857.847 1.249.080 2.747.039 11.247.846 4.626.000 471.940 Universitas Indonesia 82 Lampiran 3 Lampiran 3 Laba bersih setelah pajak No 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 Kode ADES ADMG AISA AKKU AKPI AKRA ALMI AMFG APLI AQUA ARGO ARNA ASGR ASII AUTO BATA BATI BIMA BRAM BRNA BRPT BTON BUDI CEKA CLPI CNTX CTBN DAVO DLTA DOID DPNS DSUC DVLA DYNA EKAD ERTX ESTI ETWA FAST FASW 2004 (134.452) 458.097 90 2.552 6.641 77.277 35.810 206.791 (7.416) 91.582 (233.324) 25.113 37.334 5.405.506 223.158 35.309 (20.401) (29.987) 42.421 16.037 (143.276) 2.336 1.488 (24.238) 6.486 (3.488) 13.789 98.598 38.708 897 6.466 (5.933) 49.811 47.635 4.141 (23.253) (14.568) (38.362) 37.316 4.686 2005 (119.256) 41.936 35 1.485 11.276 119.289 37.355 212.553 (4.346) 64.350 (214.141) 35.419 36.067 5.457.285 279.027 25.086 19.082 (12.604) 119.496 3.322 686.842 1.750 2.281 (21.594) 7.865 14.419 73.530 90.069 56.405 3.429 4.477 (50.726) 71.576 20.610 5.202 (16.412) (9.205) (2.098) 41.291 5.828 Analisis kemampuan laba ..., Nur Hidayati, FISIP UI, 2009 (Dalam jutaan Rupiah) 2006 2007 (128.794) (154.851) (266.964) 57.483 130 15.768 120 (38) 14.582 22.934 128.084 191 83.211 31.726 (17.220) 153 66 (4.585) 48.854 65.913 (17.823) (179.144) 28.254 43.433 55.565 72.074 3.172.097 6.519.273 282.058 454.907 20.161 34.578 (62.123) (34.218) 4.964 10.312 18.314 39.149 (5.447) 10.380 7.191 44.533 818 8.784 20.678 46.177 15.291 24.676 7.670 9.758 (19.791) (37.800) 211.228 219.513 196.277 208.456 43.284 47.331 2.231 5.561 (2.625) 58.938 (24.069) (66.049) 52.509 49.918 (6.678) 773 5.764 4.233 (6.049) (2.511) (51.483) (15.305) 9.990 6.694 68.926 102.537 101.728 121.970 Universitas Indonesia 83 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 FMII FPNI GDYR GGRM GJTL HDTX HEXA HMSP IGAR IKAI IKBI IMAS INAF INAI INCI INDF INDR INDS INKP INTA INTD INTP JECC JKSW JPRS KAEF KARW KBLI KBLM KDSI KICI KKGI KLBF KONI LAPD LION LMPI LMSH LPIN LTLS MASA MDRN MERK MLBI MLIA MLPL MRAT MTDL MYOR MYRX (58.224) (29.137) 24.991 1.790.209 478.150 (16.566) 91.418 1.991.852 26.298 1.712 7.339 (58.961) 7.239 2.394 11.828 386.919 46.012 (18.688) 3.671.746 5.440 200 116.023 929 (41.654) 62.485 77.755 448 (99.309) (25.319) 24.830 (18.159) (448) 450.698 (2.803) 1.132 23.553 (50.779) 5.505 3.404 51.917 2.015.565 (56.215) 57.239 87.313 (645.160) 23.127 13.151 12.253 85.107 2.765 (4.556) (57.135) (6.690) 1.889.646 346.835 87.003 97.771 2.383.066 13.778 6.855 23.749 38.358 9.595 (20.774) 11.590 124.018 20.404 (5.837) 79.053 17.998 (1.432) 739.686 (2.044) 10.622 34.084 52.827 1.361 25.608 14.127 (7.938) (10.164) (3.971) 626.117 (698) (3.479) 19.023 130.314 4.107 (11.305) 52.425 57.068 (37.027) 57.700 87.014 (792.946) 60.718 8.510 16.307 45.730 (14.427) Analisis kemampuan laba ..., Nur Hidayati, FISIP UI, 2009 2.658 (32.039) 25.397 1.007.822 118.401 345 39.428 3.530.490 9.964 2.763 44.374 1.248 15.241 12.539 (4.630) 661.210 18.076 2.172 (1.672.305) 7.066 501 592.802 593 5.563 26.796 43.990 (74.430) 50.382 10.508 1.815 (14.819) (26.971) 676.582 (830) 1.105 20.642 3.313 2.667 (939) 29.677 170.007 1.555 86.538 73.581 (509.864) 45.159 9.096 20.776 93.576 (92.107) 270 (52.553) 42.399 1.443.585 90.841 1.374 49.522 3.624.018 15.426 12.257 77.467 1.383 11.077 334 3.868 980.357 21.763 9.888 864.975 9.514 406 983.688 22.922 (35.002) 41.566 52.189 6.020 25.635 5.314 14.500 15.742 (24.441) 705.694 148 148 25.298 12.400 5.942 18.035 71.670 29.204 1.799 89.485 84.456 (1.013.648) 61.317 11.130 28.480 141.589 (137.166) Universitas Indonesia 84 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 MYTX NIPS PAFI PBRX PICO POLY PRAS PSDN PTSP PYFA RDTX RICY RMBA SAIP SCCO SCPI SIMA SIMM SIPD SKLT SMAR SMCB SMGR SMSM SOBI SPMA SQBI SQMI SRSN SSTM STTP SUGI SULI TBLA TBMS TCID TEJA TFCO TIRA TIRT TKIM TOTO TRST TSPC TURI ULTJ UNIC UNTR UNVR VOKS (93.656) (2.873) (59.391) 7.734 (4.767) (2.047.891) 11.986 783 (20.940) 1.432 12.191 27.310 80.938 (383.697) (34.680) (332) 2.096 (10.371) (154.346) (42.607) (107.960) (533.130) 508.916 57.371 40.352 (63.599) 35.379 723 (50.224) (50.109) 28.599 1.391 (110.962) 16.455 (3.880) 82.492 (345.379) (160.123) 11.330 10.067 1.731.356 25.879 28.966 323.093 152.731 4.412 163.763 1.099.633 1.464.182 (37.319) (94.912) 3.069 (34.179) 10.301 1.774 (841.805) 4.600 118.433 4.658 1.328 21.134 37.461 108.166 (601.188) 56.798 (864) 2.204 (14.775) (122.480) 91.549 304.203 (337.081) 1.001.772 65.737 35.582 8.149 9.048 (5.101) 22.778 (50.369) 10.637 (8.499) 12.847 6.219 (17.211) 92.865 (143.668) (294.051) 2.963 10.110 177.331 62.884 16.429 296.825 142.732 4.528 48.851 1.050.729 1.440.485 26.831 Analisis kemampuan laba ..., Nur Hidayati, FISIP UI, 2009 3.951 8.039 (42.785) 9.748 1.880 (25.430) (2.761) 11.847 (1.851) 1.729 34.578 38.226 145.510 18.260 51.643 (2.493) 1.090 (10.526) 40.954 4.637 628.005 175.945 1.295.521 66.175 27.784 23.293 43.172 (7.903) 23.385 (15.509) 14.426 344 (53.109) 52.884 24.477 100.118 (32.651) (465.246) 6.319 1.286 (571.372) 79.705 25.492 272.584 22.211 14.732 11.280 930.372 1.721.595 35.597 (50.426) 6.394 (56.097) 24.638 8.525 (1.028.032) 2.774 (8.646) 163 1.743 34.822 41.396 242.917 203.847 54.209 2.569 (4.436) (4.598) 21.196 5.742 988.944 169.410 1.775.408 80.325 94.185 27.397 52.176 (34.768) 25.695 2.065 15.595 3.690 27.604 97.227 (1.984) 111.232 (72.390) (301.986) 2.532 788 94.742 56.377 17.747 278.358 189.816 30.317 33.204 1.493.037 1.964.652 53.701 Universitas Indonesia 85 Lampiran 4 Lampiran 4 Laba Sebelum Pajak No Kode 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 ADES ADMG AISA AKKU AKPI AKRA ALMI AMFG APLI AQUA ARGO ARNA ASGR ASII AUTO BATA BATI BIMA BRAM BRNA BRPT BTON BUDI CEKA CLPI CNTX CTBN DAVO DLTA DOID DPNS DSUC DVLA DYNA EKAD ERTX ESTI ETWA FAST 2004 (134.453) 152.809 139 3.061 9.970 166.653 (12.745) 296.351 (9.612) 133.394 (344.005) 38.513 59.375 8.007.273 329.108 53.350 (27.307) (41.563) 86.762 30.902 (144.592) 3.231 (14.837) (16.464) 8.691 (2.317) 9.695 143.290 57.368 1.107 8.333 (12.274) 75.759 81.084 5.768 (24.481) (18.513) (37.842) 52.218 (Dalam Jutaan Rupiah) Tahun 2005 2006 (117.620) (129.122) 30.649 (233.328) (125) 1.195 1.808 52 7.427 24.408 183.200 189.242 54.927 121.542 305.238 (17.059) (6.139) 40 91.363 79.794 (239.679) (76.702) 52.881 42.009 54.707 81.600 8.205.759 5.871.528 428.929 386.857 38.475 32.409 (8.192) (82.402) (17.780) 7.182 199.501 39.702 4.185 (5.667) 355.163 16.519 2.367 1.064 (2.189) 41.707 (11.467) 19.427 11.139 11.212 23.179 (25.600) 85.105 278.043 118.889 249.919 79.071 60.756 4.003 4.105 5.018 (7.048) (44.516) (24.151) 106.051 83.376 38.888 3.959 6.500 7.904 (12.032) (4.365) (12.097) (70.010) (1.297) 10.802 57.871 95.967 Analisis kemampuan laba ..., Nur Hidayati, FISIP UI, 2009 Universitas Indonesia 86 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 FASW FMII FPNI GDYR GGRM GJTL HDTX HEXA HMSP IGAR IKAI IKBI IMAS INAF INAI INCI INDF INDR INDS INKP INTA INTD INTP JECC JKSW JPRS KAEF KARW KBLI KBLM KDSI KICI KKGI KLBF KONI LAPD LION LMPI LMSH LPIN LTLS MASA MDRN MERK MLBI MLIA MLPL MRAT MTDL MYOR 12.597 (80.078) (42.710) 39.101 2.570.280 263.749 (11.666) 132.103 3.059.104 46.118 (9.617) 12.822 23.261 25.561 (15.248) 16.846 863.321 64.412 (18.216) (2.517.777) 9.897 1.083 184.570 (9.010) (10.560) 89.552 123.557 1.698 (98.932) (30.317) (38.805) (19.134) 364 821.808 (2.199) 1.627 34.217 (59.368) 8.064 (2.664) 85.979 (398.299) (52.688) 82.436 130.319 (722.649) 82.776 20.498 34.892 125.694 12.475 (6.436) (63.614) (7.007) 2.710.464 193.822 30.616 141.670 3.724.660 25.239 (12.205) 37.009 67.281 16.039 (20.502) 16.802 425.761 27.624 (8.364) 157.918 27.151 (1.004) 1.077.812 (1.524) 25.211 48.937 82.484 (5.341) 28.232 77 (6.918) (10.237) (6.589) 1.015.565 (858) (3.524) 28.093 18.930 6.387 (10.659) 83.289 (25.383) (33.392) 83.922 128.589 (594.490) 205.662 11.267 42.621 67.581 Analisis kemampuan laba ..., Nur Hidayati, FISIP UI, 2009 149.380 3.815 (38.055) 36.643 1.603.431 233.268 2.143 57.938 5.344.895 15.287 (26.451) 66.086 (104.601) 40.064 4.192 (5.005) 1.225.224 25.965 4.355 (236.349) 12.214 1.084 862.197 1.425 25.194 37.896 67.629 (74.348) 68.940 15.042 2.952 (18.083) (26.604) 1.090.081 (821) 562 29.748 5.939 4.271 (382) 62.991 16.087 10.365 123.651 111.061 (504.330) 167.998 13.584 44.254 141.744 Universitas Indonesia 87 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 MYRX MYTX NIPS PAFI PBRX PICO POLY PRAS PSDN PTSP PYFA RDTX RICY RMBA SAIP SCCO SCPI SIMA SIMM SIPD SKLT SMAR SMCB SMGR SMSM SOBI SPMA SQBI SQMI SRSN SSTM STTP SUGI SULI TBLA TBMS TCID TEJA TFCO TIRA TIRT TKIM TOTO TRST TSPC TURI ULTJ UNIC UNTR UNVR 3.388 175.090 (3.708) (66.215) 10.702 (19.655) (2.088.589) 17.541 (1.908) 4.476 2.107 16.936 25.548 90.246 (478.915) (40.904) 1.601 3.326 (10.997) (186.831) (43.931) (64.826) (533.130) 769.150 98.051 62.965 (83.415) 58.902 1.025 (22.033) (68.716) 40.880 2.071 (6.346) 29.407 (4.516) 119.561 (366.931) (144.328) 17.857 13.939 (383.578) 39.992 39.831 433.592 221.391 907 230.523 1.467.749 2.102.323 (17.597) 133.933 4.773 (43.026) 14.760 287 (879.046) 7.009 2.458 6.482 1.945 24.172 52.874 105.402 (401.803) 78.311 903 3.528 (15.911) (118.620) 91.915 237.687 (188.423) 1.453.066 102.069 59.590 11.914 15.328 (5.585) 25.998 (66.966) 15.064 (12.001) (12.480) 18.515 (17.529) 134.651 (151.321) (233.293) 7.877 17.637 373.222 93.334 24.118 404.924 214.893 4.808 64.823 1.565.530 2.064.407 Analisis kemampuan laba ..., Nur Hidayati, FISIP UI, 2009 (90.271) 8.222 12.455 (48.544) 15.166 364 (77.031) (3.842) 23.550 (1.768) 2.823 39.552 59.344 179.538 53.576 73.337 (689) 2.022 (15.115) 69.931 4.747 630.758 241.158 1.857.042 105.337 44.548 38.652 63.736 (8.120) 36.296 (24.940) 21.009 651 1.638 79.152 27.764 142.946 (37.394) (495.958) 7.324 4.602 (175.200) 117.536 27.432 365.708 28.058 25.814 29.714 1.351.809 2.464.792 Universitas Indonesia 88 140 VOKS (64.515) 2.686 53.979 Lampiran 5 Lampiran 5 Laporan Arus Kas NO Kode 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 ADES ADMG AISA AKKU AKPI AKRA ALMI AMFG APLI AQUA ARGO ARNA ASGR ASII AUTO BATA BATI BIMA BRAM BRNA BRPT BTON BUDI CEKA CLPI CNTX CTBN DAVO DLTA DOID DPNS DSUC DVLA DYNA EKAD ERTX ESTI ETWA 2004 (16.384) 661.592 14.231 (3.242) 87.323 267.765 (52.978) 306.964 (25.884) 69.658 (91.696) 31.317 82.252 3.224.415 122.953 52.662 62.539 (8.863) 170.052 34.768 87.901 2.750 38.254 28.924 (18.084) (12.489) 33.997 242.454 99.869 (134.600) 7.403 (19.555) 55.668 129.867 (40) 2.299 59.456 1.404 2005 (Dalam jutaan rupiah) 2006 (132.642) 288.951 (17.498) 5.159 146.142 128.272 176.195 222.831 26.696 98.117 39.273 58.622 145.615 2.482.997 189.883 52.278 78.796 (4.899) 136.743 10.847 (308.805) 1.940 64.066 275 (18.344) 23.607 72.206 322.540 39.588 (146.820) 5.296 7.638 74.205 92.682 99.224 48.743 (7.698) (1.443) Analisis kemampuan laba ..., Nur Hidayati, FISIP UI, 2009 (129.172) 93.692 (1.876) (4.327) 102.950 326.796 (152.054) 52.449 19.218 56.659 2.535.591 39.029 179.271 9.020.067 268.303 86.643 (85.162) 3.393 189.866 21.960 (244.015) (322) 166.584 53.338 (15.189) 8.568 220.803 59.577 18.108 16.331 7.567 31.298 59.093 82.348 (1.738) 37.728 (139.078) (16.051) 2007 (76.215) 155.493 44649 -2126 117.436 220.433 (67.657) 317.569 (7.861) 115.989 29.815 76.940 191.830 494.624 262.780 75.428 77.819 (3.754) 143.925 12.697 (54.786) 3.991 5.763 (93.671) 2.004 (7.112) 123.997 (919.929) 87.272 (110.334) 5.575 92 93.490 96.293 3.922 (34.857) (122.774) 1.910 Universitas Indonesia 89 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 FAST FASW FMII FPNI GDYR GGRM GJTL HDTX HEXA HMSP IGAR IKAI IKBI IMAS INAF INAI INCI INDF INDR INDS INKP INTA INTD INTP JECC JKSW JPRS KAEF KARW KBLI KBLM KDSI KICI KKGI KLBF KONI LAPD LION LMPI LMSH LPIN LTLS MASA MDRN MERK MLBI MLIA MLPL MRAT MTDL 99.236 119.524 17.473 (7.314) 32.184 834.682 591.038 52.488 138.045 2.871.554 (7.275) (1.474) 13.400 (269.754) 159.254 (10.566) 17.072 1.838.794 248.242 4.836 894.333 5.896 5.207 1.195.324 17.112 3.487 (26.742) (75.045) 44.229 (564) 7.181 (607) (13.061) 1.455 254.151 (4.495) (3.382) 6.244 3.632 7.150 5.569 95.121 (6.751) 127.536 55.403 150.110 450.419 374.412 21.945 4.971 96.807 100.367 17.463 (11.646) 42.331 1.582.883 247.324 30.539 (245.241) 2.058.731 34.062 46.997 15.097 (624.649) (54.871) (33.878) (10.050) 800.678 353.149 22.455 1.697.134 2.897 (2.765) 1.303.966 24.035 20.810 62.839 30.595 (20.052) 6.686 11.599 18.272 1.242 6.737 534.289 4.424 (3.758) 15.645 14.217 (547) (7.363) (66.650) 209 136.967 38.992 144.525 181.293 431.306 11.719 74.039 Analisis kemampuan laba ..., Nur Hidayati, FISIP UI, 2009 165.956 88.767 2.344 3.949 26.602 1.905.618 298.192 12.397 122.953 3.538.693 28.196 23.731 50.034 (51.934) 73.151 (83.399) 19.858 1.487.025 511.878 (64.566) 3.778.089 (54.476) 17.597 1.360.802 (2.409) 14.765 (47.642) 140.242 29.082 16.255 3.846 28.783 3.620 5.407 640.610 (3.267) 500 26.486 27.359 978 (3.233) 43.467 144.622 84.289 91.417 166.742 114.912 509.294 2.333 11.796 233.817 97.144 (8.898) (3.821) (71.359) 1.449.178 449.548 22.843 215.454 1.786.380 15.950 16.098 86.784 (82.881) 83.418 (1.311) 81 2.502.001 12.508 47.827 3.944.656 34.794 (737) 1.403.488 (13.578) 68.880 4.091 55.512 (21.336) 34.821 8.173 16.407 (6.526) 24.895 362.898 0 (1.279) 13.321 14.710 (312) 9.619 51.188 (43.769) (55.710) 69.052 227.271 (133.484) 5.258.470 16.550 (93.361) Universitas Indonesia 90 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 MYOR MYRX MYTX NIPS PAFI PBRX PICO POLY PRAS PSDN PTSP PYFA RDTX RICY RMBA SAIP SCCO SCPI SIMA SIMM SIPD SKLT SMAR SMCB SMGR SMSM SOBI SPMA SQBI SQMI SRSN SSTM STTP SUGI SULI TBLA TBMS TCID TEJA TFCO TIRA TIRT TKIM TOTO TRST TSPC TURI ULTJ UNIC UNTR 103.732 33.530 48.510 15.987 45.083 (715.571) (30.204) (17.926) 51.029 18.111 19.596 4.538 46.790 5.589 29.140 15.735 (57.190) (2.116) 4.742 2.105 3.513 1.186 282.225 115.041 850.727 49.058 126.013 (1.780) 42.568 (26.029) 8.551 19.935 7.233 (741) 90.999 143.292 50.567 83.216 (251.033) 21.271 34.336 29.822 881.881 46.138 18.064 424.897 (208.581) 35.588 (36.884) 2.063.781 157.011 103.448 88.972 17.508 339 (21.795) 15.453 (99.503) 34.062 8.590 9.906 1.574 62.687 10.305 121.744 5.013 14.931 (11.639) 8.356 4.049 (18.265) 2.525 148.253 213.564 1.223.050 153.723 11.852 11.452 (1.252) (2.738) 5.378 39.785 5.095 1.236 123.857 219.863 46.886 92.356 (3.378) (3.935) 901 (132.819) 739.044 45.675 (27.804) 297.704 (316.931) 35.660 190.883 1.048.518 Analisis kemampuan laba ..., Nur Hidayati, FISIP UI, 2009 24.389 104.959 116.870 (543) 3.642 (24.175) (33.956) (881.326) 57.252 5.131 5.872 (2.704) 40.361 11.539 115.042 (4.543) 132.142 13.580 1.875 1.939 (2.788) (2.095) 375.602 452.822 1.594.059 74.242 33.869 9.915 45.717 (2) 36.207 16.743 13.927 7.944 116.450 364.180 19.858 90.108 53.635 (31.496) 24.376 71.850 335.039 99.309 149.346 234.892 284.614 106.877 (261.517) 1.721.743 178.699 32.386 155.201 (28.756) (46.005) (94.554) (17.339) (5.594) 75.870 8.742 22.635 2.154 44.123 47.027 (552.085) 526.651 (226.385) (4.920) 4.378 (1.850) (70.005) 1.284 183.590 864.468 2.074 105.956 48.692 32.218 77.247 (7) 46.189 19.082 (5.275) 2.939 66.752 (55.829) (61.446) 178.542 (19.739) 50.064 18.758 99.973 529.224 79.856 218.865 294.712 (886.553) (63.543) 349.327 (1.016.525) Universitas Indonesia 91 139 140 UNVR VOKS 1.415.869 7.774 1.665.735 45.480 2.174.808 (25.373) 22.500.013 (3.030) Lampiran 6 Lampiran 6 Arus Kas Masa Depan, Laba Bersih dan Arus Kas (2004-2006) (Dalam jutaan rupiah) NO SAHAM Tahun Y AKOt+1 X1 LBt AKOt 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 ADES ADMG AISA AKKU AKPI AKRA ALMI AMFG APLI AQUA ARGO ARNA ASGR ASII AUTO BATA BATI BIMA BRAM BRNA BRPT BTON BUDI CEKA CLPI CNTX CTBN DAVO DLTA DOID DPNS DSUC DVLA DYNA EKAD ERTX 2004 2004 2004 2004 2004 2004 2004 2004 2004 2004 2004 2004 2004 2004 2004 2004 2004 2004 2004 2004 2004 2004 2004 2004 2004 2004 2004 2004 2004 2004 2004 2004 2004 2004 2004 2004 -132,642 288,951 -17,498 5,159 146,142 128,272 176,195 222,831 26,696 98,117 39,273 58,622 145,615 2482,997 189,883 52,278 78,796 -4,899 136,743 10,847 -308,805 1,94 64,066 0,275 -18,344 23,607 72,206 322,54 39,588 -146,82 5,296 7,638 74,205 92,682 99,224 48,743 -134,452 458,097 0,09 2,552 6,641 77,277 35,81 206,791 -7,416 91,582 -233,324 25,113 37,334 5405,506 223,158 35,309 -20,401 -29,987 42,421 16,037 -143,276 2,336 1,488 -24,238 6,486 -3,488 13,789 98,598 38,708 0,897 6,466 -5,933 49,811 47,635 4,141 -23,253 -16,384 661,592 14,231 -3,242 87,323 267,765 -52,978 306,964 -25,884 69,658 -91,696 31,317 82,252 3224,415 122,953 52,662 62,539 -8,863 170,052 34,768 87,901 2,75 38,254 28,924 -18,084 -12,489 33,997 242,454 99,869 -134,6 7,403 -19,555 55,668 129,867 -0,04 2,299 Analisis kemampuan laba ..., Nur Hidayati, FISIP UI, 2009 Universitas Indonesia 92 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 ESTI ETWA FAST FASW FMII FPNI GDYR GGRM GJTL HDTX HEXA HMSP IGAR IKAI IKBI IMAS INAF INAI INCI INDF INDR INDS INKP INTA INTD INTP JECC JKSW JPRS KAEF KARW KBLI KBLM KDSI KICI KKGI KLBF KONI LAPD LION LMPI LMSH LPIN LTLS MASA MDRN MERK MLBI MLIA MLPL 2004 2004 2004 2004 2004 2004 2004 2004 2004 2004 2004 2004 2004 2004 2004 2004 2004 2004 2004 2004 2004 2004 2004 2004 2004 2004 2004 2004 2004 2004 2004 2004 2004 2004 2004 2004 2004 2004 2004 2004 2004 2004 2004 2004 2004 2004 2004 2004 2004 2004 -7,698 -1,443 96,807 100,367 17,463 -11,646 42,331 1582,883 247,324 30,539 -245,241 2058,731 34,062 46,997 15,097 -624,649 -54,871 -33,878 -10,05 800,678 353,149 22,455 1697,134 2,897 -2,765 1303,966 24,035 20,81 62,839 30,595 -20,052 6,686 11,599 18,272 1,242 6,737 534,289 4,424 -3,758 15,645 14,217 -0,547 -7,363 -66,65 0,209 136,967 38,992 144,525 181,293 431,306 Analisis kemampuan laba ..., Nur Hidayati, FISIP UI, 2009 -14,568 -38,362 37,316 4,686 -58,224 -29,137 24,991 1790,209 478,15 -16,566 91,418 1991,852 26,298 1,712 7,339 -58,961 7,239 2,394 11,828 386,919 46,012 -18,688 3671,746 5,44 0,2 116,023 0,929 -41,654 62,485 77,755 0,448 -99,309 -25,319 24,83 -18,159 -0,448 450,698 -2,803 1,132 23,553 -50,779 5,505 3,404 51,917 2015,565 -56,215 57,239 87,313 -645,16 23,127 59,456 1,404 99,236 119,524 17,473 -7,314 32,184 834,682 591,038 52,488 138,045 2871,554 -7,275 -1,474 13,4 -269,754 159,254 -10,566 17,072 1838,794 248,242 4,836 894,333 5,896 5,207 1195,324 17,112 3,487 -26,742 -75,045 44,229 -0,564 7,181 -0,607 -13,061 1,455 254,151 -4,495 -3,382 6,244 3,632 7,15 5,569 95,121 -6,751 127,536 55,403 150,11 450,419 374,412 Universitas Indonesia 93 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 MRAT MTDL MYOR MYRX MYTX NIPS PAFI PBRX PICO POLY PRAS PSDN PTSP PYFA RDTX RICY RMBA SAIP SCCO SCPI SIMA SIMM SIPD SKLT SMAR SMCB SMGR SMSM SOBI SPMA SQBI SQMI SRSN SSTM STTP SUGI SULI TBLA TBMS TCID TEJA TFCO TIRA TIRT TKIM TOTO TRST TSPC TURI ULTJ 2004 2004 2004 2004 2004 2004 2004 2004 2004 2004 2004 2004 2004 2004 2004 2004 2004 2004 2004 2004 2004 2004 2004 2004 2004 2004 2004 2004 2004 2004 2004 2004 2004 2004 2004 2004 2004 2004 2004 2004 2004 2004 2004 2004 2004 2004 2004 2004 2004 2004 11,719 74,039 157,011 103,448 88,972 17,508 0,339 -21,795 15,453 -99,503 34,062 8,59 9,906 1,574 62,687 10,305 121,744 5,013 14,931 -11,639 8,356 4,049 -18,265 2,525 148,253 213,564 1223,05 153,723 11,852 11,452 -1,252 -2,738 5,378 39,785 5,095 1,236 123,857 219,863 46,886 92,356 -3,378 -3,935 0,901 -132,819 739,044 45,675 -27,804 297,704 -316,931 35,66 Analisis kemampuan laba ..., Nur Hidayati, FISIP UI, 2009 13,151 12,253 85,107 2,765 -93,656 -2,873 -59,391 7,734 -4,767 -2047,891 11,986 0,783 -20,94 1,432 12,191 27,31 80,938 -383,697 -34,68 -0,332 2,096 -10,371 -154,346 -42,607 -107,96 -533,13 508,916 57,371 40,352 -63,599 35,379 0,723 -50,224 -50,109 28,599 1,391 -110,962 16,455 -3,88 82,492 -345,379 -160,123 11,33 10,067 1731,356 25,879 28,966 323,093 152,731 4,412 21,945 4,971 103,732 33,53 48,51 15,987 45,083 -715,571 -30,204 -17,926 51,029 18,111 19,596 4,538 46,79 5,589 29,14 15,735 -57,19 -2,116 4,742 2,105 3,513 1,186 282,225 115,041 850,727 49,058 126,013 -1,78 42,568 -26,029 8,551 19,935 7,233 -0,741 90,999 143,292 50,567 83,216 -251,033 21,271 34,336 29,822 881,881 46,138 18,064 424,897 -208,581 35,588 Universitas Indonesia 94 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 UNIC UNTR UNVR VOKS ADES ADMG AISA AKKU AKPI AKRA ALMI AMFG APLI AQUA ARGO ARNA ASGR ASII AUTO BATA BATI BIMA BRAM BRNA BRPT BTON BUDI CEKA CLPI CNTX CTBN DAVO DLTA DOID DPNS DSUC DVLA DYNA EKAD ERTX ESTI ETWA FAST FASW FMII FPNI GDYR GGRM GJTL HDTX 2004 2004 2004 2004 2005 2005 2005 2005 2005 2005 2005 2005 2005 2005 2005 2005 2005 2005 2005 2005 2005 2005 2005 2005 2005 2005 2005 2005 2005 2005 2005 2005 2005 2005 2005 2005 2005 2005 2005 2005 2005 2005 2005 2005 2005 2005 2005 2005 2005 2005 190,883 1048,518 1665,735 45,48 -129,172 93,692 -1,876 -4,327 102,95 326,796 -152,054 52,449 19,218 56,659 2535,591 39,029 179,271 9020,067 268,303 86,643 -85,162 3,393 189,866 21,96 -244,015 -0,322 166,584 53,338 -15,189 8,568 220,803 59,577 18,108 16,331 7,567 31,298 59,093 82,348 -1,738 37,728 -139,078 -16,051 165,956 88,767 2,344 3,949 26,602 1905,618 298,192 12,397 Analisis kemampuan laba ..., Nur Hidayati, FISIP UI, 2009 163,763 1099,633 1464,182 -37,319 -119,256 41,936 0,035 1,485 11,276 119,289 37,355 212,553 -4,346 64,35 -214,141 35,419 36,067 5457,285 279,027 25,086 19,082 -12,604 119,496 3,322 686,842 1,75 2,281 -21,594 7,865 14,419 73,53 90,069 56,405 3,429 4,477 -50,726 71,576 20,61 5,202 -16,412 -9,205 -2,098 41,291 5,828 -4,556 -57,135 -6,69 1889,646 346,835 87,003 -36,884 2063,781 1415,869 7,774 -132,642 288,951 -17,498 5,159 146,142 128,272 176,195 222,831 26,696 98,117 39,273 58,622 145,615 2482,997 189,883 52,278 78,796 -4,899 136,743 10,847 -308,805 1,94 64,066 0,275 -18,344 23,607 72,206 322,54 39,588 -146,82 5,296 7,638 74,205 92,682 99,224 48,743 -7,698 -1,443 96,807 100,367 17,463 -11,646 42,331 1582,883 247,324 30,539 Universitas Indonesia 95 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 HEXA HMSP IGAR IKAI IKBI IMAS INAF INAI INCI INDF INDR INDS INKP INTA INTD INTP JECC JKSW JPRS KAEF KARW KBLI KBLM KDSI KICI KKGI KLBF KONI LAPD LION LMPI LMSH LPIN LTLS MASA MDRN MERK MLBI MLIA MLPL MRAT MTDL MYOR MYRX MYTX NIPS PAFI PBRX PICO POLY 2005 2005 2005 2005 2005 2005 2005 2005 2005 2005 2005 2005 2005 2005 2005 2005 2005 2005 2005 2005 2005 2005 2005 2005 2005 2005 2005 2005 2005 2005 2005 2005 2005 2005 2005 2005 2005 2005 2005 2005 2005 2005 2005 2005 2005 2005 2005 2005 2005 2005 122,953 3538,693 28,196 23,731 50,034 -51,934 73,151 -83,399 19,858 1487,025 511,878 -64,566 3778,089 -54,476 17,597 1360,802 -2,409 14,765 -47,642 140,242 29,082 16,255 3,846 28,783 3,62 5,407 640,61 -3,267 0,5 26,486 27,359 0,978 -3,233 43,467 144,622 84,289 91,417 166,742 114,912 509,294 2,333 11,796 24,389 104,959 116,87 -0,543 3,642 -24,175 -33,956 -881,326 Analisis kemampuan laba ..., Nur Hidayati, FISIP UI, 2009 97,771 2383,066 13,778 6,855 23,749 38,358 9,595 -20,774 11,59 124,018 20,404 -5,837 79,053 17,998 -1,432 739,686 -2,044 10,622 34,084 52,827 1,361 25,608 14,127 -7,938 -10,164 -3,971 626,117 -0,698 -3,479 19,023 130,314 4,107 -11,305 52,425 57,068 -37,027 57,7 87,014 -792,946 60,718 8,51 16,307 45,73 -14,427 -94,912 3,069 -34,179 10,301 1,774 -841,805 -245,241 2058,731 34,062 46,997 15,097 -624,649 -54,871 -33,878 -10,05 800,678 353,149 22,455 1697,134 2,897 -2,765 1303,966 24,035 20,81 62,839 30,595 -20,052 6,686 11,599 18,272 1,242 6,737 534,289 4,424 -3,758 15,645 14,217 -0,547 -7,363 -66,65 0,209 136,967 38,992 144,525 181,293 431,306 11,719 74,039 157,011 103,448 88,972 17,508 0,339 -21,795 15,453 -99,503 Universitas Indonesia 96 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 PRAS PSDN PTSP PYFA RDTX RICY RMBA SAIP SCCO SCPI SIMA SIMM SIPD SKLT SMAR SMCB SMGR SMSM SOBI SPMA SQBI SQMI SRSN SSTM STTP SUGI SULI TBLA TBMS TCID TEJA TFCO TIRA TIRT TKIM TOTO TRST TSPC TURI ULTJ UNIC UNTR UNVR VOKS ADES ADMG AISA AKKU AKPI AKRA 2005 2005 2005 2005 2005 2005 2005 2005 2005 2005 2005 2005 2005 2005 2005 2005 2005 2005 2005 2005 2005 2005 2005 2005 2005 2005 2005 2005 2005 2005 2005 2005 2005 2005 2005 2005 2005 2005 2005 2005 2005 2005 2005 2005 2006 2006 2006 2006 2006 2006 57,252 5,131 5,872 -2,704 40,361 11,539 115,042 -4,543 132,142 13,58 1,875 1,939 -2,788 -2,095 375,602 452,822 1594,059 74,242 33,869 9,915 45,717 -0,002 36,207 16,743 13,927 7,944 116,45 364,18 19,858 90,108 53,635 -31,496 24,376 71,85 335,039 99,309 149,346 234,892 284,614 106,877 -261,517 1721,743 2174,808 -25,373 -76,215 155,493 44,649 -2,126 117,436 220,433 Analisis kemampuan laba ..., Nur Hidayati, FISIP UI, 2009 4,6 118,433 4,658 1,328 21,134 37,461 108,166 -601,188 56,798 -0,864 2,204 -14,775 -122,48 91,549 304,203 -337,081 1001,772 65,737 35,582 8,149 9,048 -5,101 22,778 -50,369 10,637 -8,499 12,847 6,219 -17,211 92,865 -143,668 -294,051 2,963 10,11 177,331 62,884 16,429 296,825 142,732 4,528 48,851 1050,729 1440,485 26,831 -128,794 -266,964 0,13 0,12 14,582 128,084 34,062 8,59 9,906 1,574 62,687 10,305 121,744 5,013 14,931 -11,639 8,356 4,049 -18,265 2,525 148,253 213,564 1223,05 153,723 11,852 11,452 -1,252 -2,738 5,378 39,785 5,095 1,236 123,857 219,863 46,886 92,356 -3,378 -3,935 0,901 -132,819 739,044 45,675 -27,804 297,704 -316,931 35,66 190,883 1048,518 1665,735 45,48 -129,172 93,692 -1,876 -4,327 102,95 326,796 Universitas Indonesia 97 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 ALMI AMFG APLI AQUA ARGO ARNA ASGR ASII AUTO BATA BATI BIMA BRAM BRNA BRPT BTON BUDI CEKA CLPI CNTX CTBN DAVO DLTA DOID DPNS DSUC DVLA DYNA EKAD ERTX ESTI ETWA FAST FASW FMII FPNI GDYR GGRM GJTL HDTX HEXA HMSP IGAR IKAI IKBI IMAS INAF INAI INCI INDF 2006 2006 2006 2006 2006 2006 2006 2006 2006 2006 2006 2006 2006 2006 2006 2006 2006 2006 2006 2006 2006 2006 2006 2006 2006 2006 2006 2006 2006 2006 2006 2006 2006 2006 2006 2006 2006 2006 2006 2006 2006 2006 2006 2006 2006 2006 2006 2006 2006 2006 -67,657 317,569 -7,861 115,989 29,815 76,94 191,83 494,624 262,78 75,428 77,819 -3,754 143,925 12,697 -54,786 3,991 5,763 -93,671 2,004 -7,112 123,997 -919,929 87,272 -110,334 5,575 0,092 93,49 96,293 3,922 -34,857 -122,774 1,91 233,817 97,144 -8,898 -3,821 -71,359 1449,178 449,548 22,843 215,454 1786,38 15,95 16,098 86,784 -82,881 83,418 -1,311 0,081 2502,001 Analisis kemampuan laba ..., Nur Hidayati, FISIP UI, 2009 83,211 -17,22 0,066 48,854 -17,823 28,254 55,565 3172,097 282,058 20,161 -62,123 4,964 18,314 -5,447 7,191 0,818 20,678 15,291 7,67 -19,791 211,228 196,277 43,284 2,231 -2,625 -24,069 52,509 -6,678 5,764 -6,049 -51,483 9,99 68,926 101,728 2,658 -32,039 25,397 1007,822 118,401 0,345 39,428 3530,49 9,964 2,763 44,374 1,248 15,241 12,539 -4,63 661,21 -152,054 52,449 19,218 56,659 2535,591 39,029 179,271 9020,067 268,303 86,643 -85,162 3,393 189,866 21,96 -244,015 -0,322 166,584 53,338 -15,189 8,568 220,803 59,577 18,108 16,331 7,567 31,298 59,093 82,348 -1,738 37,728 -139,078 -16,051 165,956 88,767 2,344 3,949 26,602 1905,618 298,192 12,397 122,953 3538,693 28,196 23,731 50,034 -51,934 73,151 -83,399 19,858 1487,025 Universitas Indonesia 98 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 INDR INDS INKP INTA INTD INTP JECC JKSW JPRS KAEF KARW KBLI KBLM KDSI KICI KKGI KLBF KONI LAPD LION LMPI LMSH LPIN LTLS MASA MDRN MERK MLBI MLIA MLPL MRAT MTDL MYOR MYRX MYTX NIPS PAFI PBRX PICO POLY PRAS PSDN PTSP PYFA RDTX RICY RMBA SAIP SCCO SCPI 2006 2006 2006 2006 2006 2006 2006 2006 2006 2006 2006 2006 2006 2006 2006 2006 2006 2006 2006 2006 2006 2006 2006 2006 2006 2006 2006 2006 2006 2006 2006 2006 2006 2006 2006 2006 2006 2006 2006 2006 2006 2006 2006 2006 2006 2006 2006 2006 2006 2006 12,508 47,827 3944,656 34,794 -0,737 1403,488 -13,578 68,88 4,091 55,512 -21,336 34,821 8,173 16,407 -6,526 24,895 362,898 0 -1,279 13,321 14,71 -0,312 9,619 51,188 -43,769 -55,71 69,052 227,271 -133,484 5258,47 16,55 -93,361 178,699 32,386 155,201 -28,756 -46,005 -94,554 -17,339 -5,594 75,87 8,742 22,635 2,154 44,123 47,027 -552,085 526,651 -226,385 -4,92 Analisis kemampuan laba ..., Nur Hidayati, FISIP UI, 2009 18,076 2,172 -1672,305 7,066 0,501 592,802 0,593 5,563 26,796 43,99 -74,43 50,382 10,508 1,815 -14,819 -26,971 676,582 -0,83 1,105 20,642 3,313 2,667 -0,939 29,677 170,007 1,555 86,538 73,581 -509,864 45,159 9,096 20,776 93,576 -92,107 3,951 8,039 -42,785 9,748 1,88 -25,43 -2,761 11,847 -1,851 1,729 34,578 38,226 145,51 18,26 51,643 -2,493 511,878 -64,566 3778,089 -54,476 17,597 1360,802 -2,409 14,765 -47,642 140,242 29,082 16,255 3,846 28,783 3,62 5,407 640,61 -3,267 0,5 26,486 27,359 0,978 -3,233 43,467 144,622 84,289 91,417 166,742 114,912 509,294 2,333 11,796 24,389 104,959 116,87 -0,543 3,642 -24,175 -33,956 -881,326 57,252 5,131 5,872 -2,704 40,361 11,539 115,042 -4,543 132,142 13,58 Universitas Indonesia 99 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 SIMA SIMM SIPD SKLT SMAR SMCB SMGR SMSM SOBI SPMA SQBI SQMI SRSN SSTM STTP SUGI SULI TBLA TBMS TCID TEJA TFCO TIRA TIRT TKIM TOTO TRST TSPC TURI ULTJ UNIC UNTR UNVR VOKS 2006 2006 2006 2006 2006 2006 2006 2006 2006 2006 2006 2006 2006 2006 2006 2006 2006 2006 2006 2006 2006 2006 2006 2006 2006 2006 2006 2006 2006 2006 2006 2006 2006 2006 4,378 -1,85 -70,005 1,284 183,59 864,468 2,074 105,956 48,692 32,218 77,247 -0,007 46,189 19,082 -5,275 2,939 66,752 -55,829 -61,446 178,542 -19,739 50,064 18,758 99,973 529,224 79,856 218,865 294,712 -886,553 -63,543 349,327 -1016,525 22500,013 -3,03 Analisis kemampuan laba ..., Nur Hidayati, FISIP UI, 2009 1,09 -10,526 40,954 4,637 628,005 175,945 1295,521 66,175 27,784 23,293 43,172 -7,903 23,385 -15,509 14,426 0,344 -53,109 52,884 24,477 100,118 -32,651 -465,246 6,319 1,286 -571,372 79,705 25,492 272,584 22,211 14,732 11,28 930,372 1721,595 35,597 1,875 1,939 -2,788 -2,095 375,602 452,822 1594,059 74,242 33,869 9,915 45,717 -0,002 36,207 16,743 13,927 7,944 116,45 364,18 19,858 90,108 53,635 -31,496 24,376 71,85 335,039 99,309 149,346 234,892 284,614 106,877 -261,517 1721,743 2174,808 -25,373 Universitas Indonesia 100 Lampiran 7 COPY OUTPUT SPSS VER 13.0 Descriptives Descriptive Statisticsa N Y (AKOt+1) X1 (LBt) X2 (AKOt) Valid N (listwise) 140 140 140 140 Minimum -624.65 -2047.89 -715.57 Maximum 2483.00 5405.51 3224.42 Mean 143.1107 131.7730 156.3308 Std. Deviation 411.01237 682.03166 480.67657 Mean 258.2297 114.6909 143.1107 Std. Deviation 954.39916 572.07067 411.01237 Mean 307.6313 98.3259 258.2297 Std. Deviation 1999.61897 491.02380 954.39916 a. Tahun = Tahun 2004 Descriptive Statisticsa N Y (AKOt+1) X1 (LBt) X2 (AKOt) Valid N (listwise) 140 140 140 140 Minimum -881.33 -841.81 -624.65 Maximum 9020.07 5457.29 2483.00 a. Tahun = Tahun 2005 Descriptive Statisticsa N Y (AKOt+1) X1 (LBt) X2 (AKOt) Valid N (listwise) 140 140 140 140 Minimum -1016.53 -1672.31 -881.33 Maximum 22500.01 3530.49 9020.07 a. Tahun = Tahun 2006 Anova Analisis kemampuan laba ..., Nur Hidayati, FISIP UI, 2009 Universitas Indonesia 101 ANOVAb,c Model 1 Regression Residual Total Sum of Squares 1.5E+008 5.3E+008 6.8E+008 df 2 296 298 Mean Square 74406165.72 1791249.917 F 41.539 Sig. .000a F 53.248 Sig. .000a F 253.727 Sig. .000a F 389.344 Sig. .000a a. Predictors: (Constant), X2 (AKOt), X1 (LBt) b. Dependent Variable: Y (AKOt+1) c. Status Laba = Positif ANOVAb,c Model 1 Regression Residual Total Sum of Squares 11267550 12484589 23752139 df 2 118 120 Mean Square 5633774.792 105801.602 a. Predictors: (Constant), X2 (AKOt), X1 (LBt) b. Dependent Variable: Y (AKOt+1) c. Status Laba = Negatif ANOVAb,c Model 1 Regression Residual Total Sum of Squares 18218693 3195289 21413982 df 2 89 91 Mean Square 9109346.623 35902.119 a. Predictors: (Constant), X2 (AKOt), X1 (LBt) b. Dependent Variable: Y (AKOt+1) c. Status Laba = Positif, Tahun = Tahun 2004 ANOVAb,c Model 1 Regression Residual Total Sum of Squares 1.0E+008 13095747 1.2E+008 df 2 98 100 Mean Square 52028109.24 133630.067 a. Predictors: (Constant), X2 (AKOt), X1 (LBt) b. Dependent Variable: Y (AKOt+1) c. Status Laba = Positif, Tahun = Tahun 2005 Analisis kemampuan laba ..., Nur Hidayati, FISIP UI, 2009 Universitas Indonesia 102 ANOVAb,c Model 1 Regression Residual Total Sum of Squares 81254415 4.6E+008 5.4E+008 df 2 103 105 Mean Square 40627207.69 4447196.191 F 9.135 Sig. .000a F 11.366 Sig. .000a F 2.133 Sig. .133a F 95.214 Sig. .000a a. Predictors: (Constant), X2 (AKOt), X1 (LBt) b. Dependent Variable: Y (AKOt+1) c. Status Laba = Positif, Tahun = Tahun 2006 ANOVAb,c Model 1 Regression Residual Total Sum of Squares 226874.2 449115.4 675989.6 df 2 45 47 Mean Square 113437.080 9980.342 a. Predictors: (Constant), X2 (AKOt), X1 (LBt) b. Dependent Variable: Y (AKOt+1) c. Status Laba = Negatif, Tahun = Tahun 2004 ANOVAb,c Model 1 Regression Residual Total Sum of Squares 780708.8 6587494 7368203 df 2 36 38 Mean Square 390354.417 182985.952 a. Predictors: (Constant), X2 (AKOt), X1 (LBt) b. Dependent Variable: Y (AKOt+1) c. Status Laba = Negatif, Tahun = Tahun 2005 ANOVAb,c Model 1 Regression Residual Total Sum of Squares 13165676 2143257 15308933 df 2 31 33 Mean Square 6582838.200 69137.309 a. Predictors: (Constant), X2 (AKOt), X1 (LBt) b. Dependent Variable: Y (AKOt+1) c. Status Laba = Negatif, Tahun = Tahun 2006 Coefficients Analisis kemampuan laba ..., Nur Hidayati, FISIP UI, 2009 Universitas Indonesia 103 Coefficientsa,b Model 1 (Constant) X1 (LBt) X2 (AKOt) Unstandardized Coefficients B Std. Error 67.217 81.938 .905 .175 .211 .155 Standardized Coefficients Beta .388 .102 t .820 5.167 1.358 Sig. .413 .000 .175 a. Dependent Variable: Y (AKOt+1) b. Status Laba = Positif Model Summaryb Model 1 R R Square .689a .474 Adjusted R Square .465 Std. Error of the Estimate 325.27158 a. Predictors: (Constant), X2 (AKOt), X1 (LBt) b. Status Laba = Negatif Coefficientsa,b Model 1 (Constant) X1 (LBt) X2 (AKOt) Unstandardized Coefficients B Std. Error 35.138 21.317 .209 .038 .542 .052 Standardized Coefficients Beta .336 .644 t 1.648 5.455 10.457 Sig. .103 .000 .000 a. Dependent Variable: Y (AKOt+1) b. Status Laba = Positif, Tahun = Tahun 2004 Model Summaryb Model 1 R R Square .922a .851 Adjusted R Square .847 Std. Error of the Estimate 189.47855 a. Predictors: (Constant), X2 (AKOt), X1 (LBt) b. Status Laba = Positif, Tahun = Tahun 2004 Coefficientsa,b Model 1 (Constant) X1 (LBt) X2 (AKOt) Unstandardized Coefficients B Std. Error -36.566 39.248 1.022 .094 .879 .127 Standardized Coefficients Beta .607 .385 t -.932 10.896 6.914 Sig. .354 .000 .000 a. Dependent Variable: Y (AKOt+1) b. Status Laba = Positif, Tahun = Tahun 2005 Analisis kemampuan laba ..., Nur Hidayati, FISIP UI, 2009 Universitas Indonesia 104 Model Summaryb Model 1 R R Square .942a .888 Adjusted R Square .886 Std. Error of the Estimate 365.55447 a. Predictors: (Constant), X2 (AKOt), X1 (LBt) b. Status Laba = Positif, Tahun = Tahun 2005 Coefficientsa,b Model 1 (Constant) X1 (LBt) X2 (AKOt) Unstandardized Coefficients B Std. Error 84.373 215.787 2.841 .863 -.739 .445 Standardized Coefficients Beta .648 -.327 t .391 3.290 -1.662 Sig. .697 .001 .100 a. Dependent Variable: Y (AKOt+1) b. Status Laba = Positif, Tahun = Tahun 2006 Model Summaryb Model 1 R R Square .388a .151 Adjusted R Square .134 Std. Error of the Estimate 2108.83764 a. Predictors: (Constant), X2 (AKOt), X1 (LBt) b. Status Laba = Positif, Tahun = Tahun 2006 Coefficientsa,b Model 1 (Constant) X1 (LBt) X2 (AKOt) Unstandardized Coefficients B Std. Error -2.591 15.700 .033 .047 .688 .144 Standardized Coefficients Beta .086 .583 t -.165 .703 4.765 Sig. .870 .485 .000 a. Dependent Variable: Y (AKOt+1) b. Status Laba = Negatif, Tahun = Tahun 2004 Model Summaryb Model 1 R R Square .579a .336 Adjusted R Square .306 Std. Error of the Estimate 99.90166 a. Predictors: (Constant), X2 (AKOt), X1 (LBt) b. Status Laba = Negatif, Tahun = Tahun 2004 Analisis kemampuan laba ..., Nur Hidayati, FISIP UI, 2009 Universitas Indonesia 105 Coefficientsa,b Model 1 (Constant) X1 (LBt) X2 (AKOt) Unstandardized Coefficients B Std. Error 40.628 78.518 .222 .341 2.316 1.140 Standardized Coefficients Beta .104 .323 t .517 .653 2.031 Sig. .608 .518 .050 a. Dependent Variable: Y (AKOt+1) b. Status Laba = Negatif, Tahun = Tahun 2005 Model Summaryb Model 1 R R Square .326a .106 Adjusted R Square .056 Std. Error of the Estimate 427.76857 a. Predictors: (Constant), X2 (AKOt), X1 (LBt) b. Status Laba = Negatif, Tahun = Tahun 2005 Coefficientsa,b Model 1 (Constant) X1 (LBt) X2 (AKOt) Unstandardized Coefficients B Std. Error -87.747 48.889 -1.445 .212 .287 .083 Standardized Coefficients Beta -.659 .333 t -1.795 -6.822 3.444 Sig. .082 .000 .002 a. Dependent Variable: Y (AKOt+1) b. Status Laba = Negatif, Tahun = Tahun 2006 Model Summaryb Model 1 R R Square .927a .860 Adjusted R Square .851 Std. Error of the Estimate 262.93974 a. Predictors: (Constant), X2 (AKOt), X1 (LBt) b. Status Laba = Negatif, Tahun = Tahun 2006 Durbin Watson Model Summaryb Model 1 DurbinWatson 2.187 b. Dependent Variable: Y (AKOt+1) Analisis kemampuan laba ..., Nur Hidayati, FISIP UI, 2009 Universitas Indonesia 106 Uji Normalitas Expected Cum Prob 1.0 0.8 0.6 0.4 0.2 0.0 0.0 0.2 0.4 0.6 0.8 1.0 Observed Cum Prob Uji Heteroskedastisitas ROA 0.0600 0.0400 0.0200 0.0000 -2 -1 0 1 2 3 Regression Standardized Predicted Value Analisis kemampuan laba ..., Nur Hidayati, FISIP UI, 2009 Universitas Indonesia ...
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