75 Lampiran Tabulasi Ukuran Pemerintah Daerah

LAMPIRAN

TABULASI UKURAN PEMERINTAH DAERAH

Kab/Kota Tahun Asset LN ASET Banjar 26.940 negara 2015 3773105046825 Banyumas 2015 4996293115180 25.910 Batang 2015 2125178027710 28.780 Blora 2015 2200545645447 26.290 boyolali 2015 2362547346330 26.430 Brebes 2015 2504881095295 26.740 cilacap 2015 4101272249790 26.260 Demak 2015 2797430244005 26.330 Grobogan 2015 2110181560904 26.320 Jepara 2015 5227429224883 26.270 Karanganyar 2015 2639214244404 26.200 kendal 2015 2558870403771 26.230 Kebumen 2015 3910364384327 25.970 Klaten 2015 2912320354217 26.270 Kudus 2015 3164989044015 26.290 magelang 2015 2889293466866 26.460 Pati 2015 4058238306203 26.250 Pekalongan 2015 2176088770014 26.160 Pemalang 2015 2711229161504 26.100 Purbalingga 2015 1947434687329 26.180 Purworejo 2015 1988247880169 25.990 rembang 2015 1632557326614 26.350 semarang 2015 2614285239513 26.310 sragen 2015 2351849252835 26.470 sukoharjo 2015 3551142341578 26.030 temanggung 2015 2608342350120 26.080 wonogiri 2015 2773957987499 25.930 wonosobo 2015 1618325931484 26.440 Tegal 2015 258256911143 26.950 kot 25.750 magelang 2015 2186014334170 kot 25.840 pekalongan 2015 1893808840397 kot salatiga 2015 1695025718315 27.810

kot 26.640 semarang 2015 23210940494528 kot 26.330 surakarta 2015 7058634910205 Kota Tegal 2015 1830740165647 27.590 Banjar 28.960 negara 2016 3764999667285 Banyumas 2016 512213981696 26.960 Batang 2016 2340793700282 28.480 Blora 2016 2324010734307 28.470 boyolali 2016 2611631303909 28.590 Brebes 2016 2792866204611 28.660 cilacap 2016 4019210952136 29.020 Demak 2016 3345653792396 28.840 Grobogan 2016 2578827973057 28.580 Jepara 2016 5184523020254 29.280 Karanganyar 2016 2785959656094 28.660 kendal 2016 3246084965821 28.810 Kebumen 2016 4090343910748 29.040 Klaten 2016 3483587981231 28.880 Kudus 2016 3490967658002 28.880 magelang 2016 1832215946665 28.240 Pati 2016 5620068520754 29.360 Pekalongan 2016 2166875317645 28.400 Pemalang 2016 2973662409896 28.720 Purbalingga 2016 2267477749800 28.450 Purworejo 2016 2415635223398 28.510 rembang 2016 1799809861545 28.220 semarang 2016 2759751487195 28.650 sragen 2016 2666942953072 28.610 sukoharjo 2016 4110568092019 29.040 temanggung 2016 2765376607594 28.650 wonogiri 2016 3006724087437 28.730 wonosobo 2016 2403339743555 28.510 Tegal 2016 2795204576013 28.660 kot 28.700 magelang 2016 2920893584607 kot 28.410 pekalongan 2016 2177047983430 kot salatiga 2016 2036676185727 28.340 kot 30.990 semarang 2016 28793140180037

kot 29.540 surakarta 2016 6730489559718 Kota Tegal 2016 130498643843 25.590 Banjar 29.050 negara 2017 4126775235841 Banyumas 2017 5463777382017 29.330 Batang 2017 2403414307811 28.510 Blora 2017 2546335225938 28.570 boyolali 2017 2613993025493 28.590 Brebes 2017 3469695842864 28.880 cilacap 2017 2821679271956 28.670 Demak 2017 4927032170221 29.230 Grobogan 2017 2827558507348 28.670 Jepara 2017 586321483841 27.100 Karanganyar 2017 2916448445771 28.700 kendal 2017 3015473983604 28.730 Kebumen 2017 3794078229589 28.960 Klaten 2017 3726733115067 28.950 Kudus 2017 4066126399735 29.030 magelang 2017 2173049754022 28.410 Pati 2017 6006822341817 29.420 Pekalongan 2017 2469666568415 28.540 Pemalang 2017 3227551323034 28.800 Purbalingga 2017 2406468280774 28.510 Purworejo 2017 2588956121375 28.580 rembang 2017 1699744280051 28.160 semarang 2017 3112499506159 28.770 sragen 2017 2906083541960 28.700 sukoharjo 2017 4503212327840 29.140 temanggung 2017 2943103837806 28.710 wonogiri 2017 3196412795733 28.790 wonosobo 2017 2679420928730 28.620 Tegal 2017 2991069237986 28.730 kota 28.910 magelang 2017 3579209910129 kota 28.470 pekalongan 2017 2311166310884 kota 28.540 salatiga 2017 2482517613068 kota 31.030 semarang 2017 30040633244390 kota 29.640 surakarta 2017 7469517044609

Kota Tegal 2017 2264247290378 27.450

TABULASI DEPEND

X2 Kab/Kota Tahun dau pendapatan DEPEND Banjar negara 2015 862810552000 1693503657927 0.51 Banyumas 2015 1277833769000 2654284992375 0.48 Batang 2015 706782246000 1396266245121 0.47 Blora 2015 848823612000 1648791900900 0.51 boyolali 2015 968089632000 1937150203967 0.50 Brebes 2015 1234338079000 2417210235715 0.51 cilacap 2015 1332586848000 2733224737990 0.49 Demak 2015 833041455000 1786987656752 0.47 Grobogan 2015 1008901500000 2017588934756 0.50 Jepara 2015 935771120000 1930958695918 0.48 Karanganyar 2015 906446527000 1834209380841 0.49 kendal 2015 854901572000 1720521360832 0.50 Kebumen 2015 1146008708000 2326188256641 0.49 Klaten 2015 1164196398000 2177820724857 0.53 Kudus 2015 784919177000 1755769420301 0.45 magelang 2015 996070014000 1945955251171 0.51 Pati 2015 1086645667000 2181691961101 0.50 Pekalongan 2015 862011706000 1697594551514 0.51 Pemalang 2015 1058982530000 1966423490803 0.54 Purbalingga 2015 805222229000 1567587735546 0.51 Purworejo 2015 875528049000 1842491063926 0.48 rembang 2015 723091447000 1408950534485 0.51 semarang 2015 876672925000 1677158224329 0.52 sragen 2015 977443589000 2024057424890 0.54 sukoharjo 2015 854457636000 1784105364462 0.42 temanggung 2015 731733741000 1469482958105 0.50 wonogiri 2015 1031393472000 1363704538729 0.76 wonosobo 2015 748447761000 1432159651029 0.52 Tegal 2015 1085549293000 2097095623983 0.52 kota magelang 2015 418257922000 781335799509 0.44 kota pekalongan 2015 421276527000 809733612473 0.52 kota salatiga 2015 400176755000 750581558962 0.53 kota semarang 2015 1126847634000 3347160206438 0.34 kota surakarta 2015 713300856000 1568482686616 0.45 Kota Tegal 2015 405831066000 947466621452 0.43

Banjar negara 2016 976642965000 1836015079137 0.53 Banyumas 2016 1398539653000 2852968390191 0.49 Batang 2016 790848003000 1498614094093 0.53 Blora 2016 943325498000 1858187916237 0.51 boyolali 2016 1032744010000 1993495112162 0.52 Brebes 2016 1339381605000 2572334594629 0.52 cilacap 2016 1384695514000 2796010344654 0.50 Demak 2016 908643744000 1952459922200 0.47 Grobogan 2016 1110337027000 2203275381321 0.50 Jepara 2016 1000373359000 2106087671994 0.47 Karanganyar 2016 996164049000 2012335065180 0.50 kendal 2016 972952576000 1888728093841 0.52 Kebumen 2016 1256068249000 2606209824034 0.48 Klaten 2016 1204344586096 2258604630605 0.53 Kudus 2016 822153771000 1880999970784 0.44 magelang 2016 1078981977000 2036310089428 0.35 Pati 2016 1207508997000 2446063689933 0.49 Pekalongan 2016 926571243000 1787351674573 0.52 Pemalang 2016 1197916501000 2112514280374 0.57 Purbalingga 2016 897337823000 1746235699687 0.51 Purworejo 2016 940778244000 2069000842574 0.45 rembang 2016 785380985000 1564868839956 0.50 semarang 2016 968848031000 1978138017128 0.49 sragen 2016 1067774278414 2092759142908 0.51 sukoharjo 2016 922624169000 1931896575824 0.48 temanggung 2016 807995010000 1678688079170 0.48 wonogiri 2016 1145434277000 2035056535365 0.56 wonosobo 2016 841407175000 1575601833680 0.53 Tegal 2016 1162102111000 2161161059588 0.54 kot magelang 2016 447909575000 840042626525 0.53 kota pekalongan 2016 457085256000 857642985779 0.53 kota salatiga 2016 456079561000 879784189262 0.52 kota semarang 2016 1211708204000 4103151795483 0.30 kota surakarta 2016 841536122000 1703003847995 0.49 Kota Tegal 2016 490772001000 1051121466005 0.47 Banjar negara 2017 959486489000 2167801161490.00 0.44 Banyumas 2017 1373971809000 3221258052894.00 0.43 Batang 2017 779010049000 1566164720813.00 0.50 Blora 2017 926754302000 2013826444230.00 0.46 boyolali 2017 1014602019000 2176496270254.00 0.47 Brebes 2017 1317061804000 2856934060544.00 0.46

cilacap 2017 1360370867000 3067274791140.00 0.44 Demak 2017 892681795000 2060864280423.00 0.43 Grobogan 2017 1091590533000 2426674663998.00 0.45 Jepara 2017 982800016000 2165074563873.00 0.45 Karanganyar 2017 978664650000 2043460305969.00 0.48 kendal 2017 955860928000 2047555046096.00 0.47 Kebumen 2017 1234003169000 2713113397677.00 0.45 Klaten 2017 1271590067902 2581515295917.00 0.49 Kudus 2017 807711173000 1985213078247.00 0.41 magelang 2017 1060027733000 2271336015858.00 0.47 Pati 2017 1186296947000 2769242943472.00 0.43 Pekalongan 2017 910294366000 2067907851793.00 0.44 Pemalang 2017 1176872960000 2353030274957.00 0.50 Purbalingga 2017 881574483000 1957994897247.00 0.45 Purworejo 2017 924251795000 2114807792154.00 0.44 rembang 2017 771584367000 1722252909030.00 0.45 semarang 2017 951828487000 2135227865430.00 0.45 sragen 2017 1049016918000 2187032686896.00 0.48 sukoharjo 2017 906416629000 2055571033667.00 0.44 temanggung 2017 793801136000 1779850394321.00 0.45 wonogiri 2017 1980535317888 2317978656682.00 0.85 wonosobo 2017 826626357000 1829290334360.00 0.45 Tegal 2017 1141687714000 2450766552130.00 0.47 kota magelang 2017 440041244000 909525862920.00 0.48 kota pekalongan 2017 449055738000 915920377495.00 0.49 kota salatiga 2017 448067710000 882746082111.00 0.51 kota semarang 2017 1190422387000 3964574307584.00 0.30 kota surakarta 2017 826753038000 1803920801907.00 0.46 Kota Tegal 2017 482150715000 1024765938276.00 0.47

TABULASI WEALTH

X3 Kab/Kota Tahun PAD pendapatan WEALTH Banjar negara 2015 180561068549 1693503657927 0.11 Banyumas 2015 502281349460 2654284992375 0.19 Batang 2015 179721273968 1396266245121 0.13 Blora 2015 156402924037 1648791900900 0.09 boyolali 2015 260633637928 1937150203967 0.13 Brebes 2015 301953709818 2417210235715 0.12 cilacap 2015 409845660919 2733224737990 0.15 Demak 2015 254324487512 1786987656752 0.09 Grobogan 2015 272718439175 2017588934756 0.14 Jepara 2015 270251582727 1930958695918 0.09 Karanganyar 2015 255445549750 1834209380841 0.18 kendal 2015 239564403991 1720521360832 0.14 Kebumen 2015 245159255421 2326188256641 0.11 Klaten 2015 190622670128 2177820724857 0.13 Kudus 2015 255284092548 1755769420301 0.15 magelang 2015 261569091783 1945955251171 0.19 Pati 2015 310063640827 2181691961101 0.14 Pekalongan 2015 251558970834 1697594551514 0.15 Pemalang 2015 230435212865 1966423490803 0.12 Purbalingga 2015 215662047787 1567587735546 0.14 Purworejo 2015 233934134286 1842491063926 0.13 rembang 2015 193122759856 1408950534485 0.14 semarang 2015 278851900617 1677158224329 0.17 sragen 2015 267711820479 2024057424890 0.23 sukoharjo 2015 313947492011 1784105364462 0.18 temanggung 2015 201490139929 1469482958105 0.20 wonogiri 2015 211208601200 1363704538729 0.12 wonosobo 2015 182607638797 1432159651029 0.08 Tegal 2015 304000970135 2097095623983 0.11 kot magelang 2015 186677410081 781335799509 0.14 kot pekalongan 2015 152044596332 809733612473 0.24 kot salatiga 2015 167010555173 750581558962 0.26 kot semarang 2015 1201581778459 3347160206438 0.39 kot surakarta 2015 372798426790 1568482686616 0.27 Kota Tegal 2015 271601407419 947466621452 0.25 Banjar negara 2016 221048387512 1836015079137 0.12

Banyumas 2016 354335729997 2852968390191 0.22 Batang 2016 209957559449 1498614094093 0,14 Blora 2016 171277522706 1858187916237 0.09 boyolali 2016 292310032226 1993495112162 0.15 Brebes 2016 339156063168 2572334594629 0.13 cilacap 2016 428598349897 2796010344654 0.23 Demak 2016 287457500571 1952459922200 0.15 Grobogan 2016 299211316168 2203275381321 0.14 Jepara 2016 322509753285 2106087671994 0.15 Karanganyar 2016 301307800956 2012335065180 0.25 kendal 2016 265074406548 1888728093841 0.14 Kebumen 2016 291016321703 2606209824034 0.11 Klaten 2016 224197804481 2258604630605 0.10 Kudus 2016 297239106717 1880999970784 0.16 magelang 2016 288485678128 2036310089428 0.11 Pati 2016 314921084791 2446063689933 0.13 Pekalongan 2016 310572581552 1787351674573 0.17 Pemalang 2016 275458054016 2112514280374 0.13 Purbalingga 2016 251816668602 1746235699687 0.14 Purworejo 2016 255599240424 2069000842574 0.18 rembang 2016 234168365751 1564868839956 0.15 semarang 2016 318536051176 1978138017128 0.26 sragen 2016 297176332577 2092759142908 0.14 sukoharjo 2016 363163428162 1931896575824 0.29 temanggung 2016 281328148970 1678688079170 0.17 wonogiri 2016 218604854595 2035056535365 0.21 wonosobo 2016 199894767510 1575601833680 0.27 Tegal 2016 316051189734 2161161059588 0.15 kot magelang 2016 220315848702 840042626525 0.26 kot pekalongan 2016 178604460870 857642985779 0.21 kot salatiga 2016 203768652017 879784189262 0.23 kot semarang 2016 1491645900065 4103151795483 0.36 kot surakarta 2016 425502779064 1703003847995 0.25 Kota Tegal 2016 287343889954 1051121466005 0.27 Banjar negara 2017 297485382003 2167801161490 0.20 Banyumas 2017 619701627380 3221258052894 0.19 Batang 2017 219807128307 1566164720813 0.23 Blora 2017 280042019102 2013826444230 0.24 boyolali 2017 388014897386 2176496270254 0.18 Brebes 2017 523660773732 2856934060544 0.18 cilacap 2017 648091381096 3067274791140 0.21

Demak 2017 309612407201 2060864280423 0.15 Grobogan 2017 440456238668 2426674663998 0.22 Jepara 2017 325530346533 2165074563873 0.15 Karanganyar 2017 415142563370 2043460305969 0.25 kendal 2017 404978613972 2047555046096 0.27 Kebumen 2017 443608862461 2713113397677 0.16 Klaten 2017 371718439306 2581515295917 0.14 Kudus 2017 366031203778 1985213078247 0.23 magelang 2017 403561238310 2271336015858 0.18 Pati 2017 449821348800 2769242943472 0.16 Pekalongan 2017 305394299060 2067907851793 0.22 Pemalang 2017 425893266850 2353030274957 0.18 Purbalingga 2017 355859003583 1957994897247 0.18 Purworejo 2017 269067899709 2114807792154 0.08 rembang 2017 300319284807 1722252909030 0.10 semarang 2017 417417848830 2135227865430 0.20 sragen 2017 404569404722 2187032686896 0.18 sukoharjo 2017 464567409857 2055571033667 0.23 temanggung 2017 308466748340 1779850394321 0.19 wonogiri 2017 333840434904 2317978656682 0.17 wonosobo 2017 228017473938 1829290334360 0.25 Tegal 2017 375531165351 2450766552130 0.18 kot magelang 2017 233557714356 909525862920 0.23 kot pekalongan 2017 192007871181 915920377495 0.19 kot salatiga 2017 220243361132 882746082111 0.21 kot semarang 2017 1791886378674 3964574307584 0.23 kot surakarta 2017 523544224970 1803920801907 0.27 Kota Tegal 2017 306830656134 1024765938276 0.28

TABULASI EXPAND

Kab/Kota Tahun belanja X4 LN EXPEND Banjar negara 2015 1612219383363 28.11 Banyumas 2015 2228787114694 28.43 Batang 2015 1220389226566 27.83 Blora 2015 1666767939618 28.14 boyolali 2015 1647423248301 28.13 Brebes 2015 2392376921588 28.50 cilacap 2015 2657124478070 28.61 Demak 2015 1629328600162 28.12 Grobogan 2015 1752438812621 28.19 Jepara 2015 1668747364863 28.14 Karanganyar 2015 1648862279623 28.13 kendal 2015 1692494756232 28.16 Kebumen 2015 2033106110205 28.34 Klaten 2015 1807513027820 28.22 Kudus 2015 1562873061548 28.08 magelang 2015 1732215946665 28.18 Pati 2015 1834833717380 28.24 Pekalongan 2015 1431813954914 27.99 Pemalang 2015 1777978292423 28.21 Purbalingga 2015 1298154429988 27.89 Purworejo 2015 1558324821942 28.07 rembang 2015 1049597949568 27.68 semarang 2015 1506067617740 28.04 sragen 2015 1896201082906 28.27 sukoharjo 2015 1519776477018 28.05 temanggung 2015 1349483440293 28.93 wonogiri 2015 1698066038439 26.16 wonosobo 2015 1344360302057 26.93 Tegal 2015 2258256911143 28.45 kot magelang 2015 735860862150 28.32 kot pekalongan 2015 792543896689 27.40 kot salatiga 2015 673865039498 27.24 kot semarang 2015 3200860096133 28.79 kot surakarta 2015 1532527097064 28.06 Kota Tegal 2015 958843283051 27.59 Banjar negara 2016 2017382964152 28.33 Banyumas 2016 2415866207746 28.51 Batang 2016 1290820936289 29.89

Blora 2016 1951816454287 28.30 boyolali 2016 1730044307199 28.18 Brebes 2016 2946269402281 28.71 cilacap 2016 3150325840872 28.78 Demak 2016 1763395978996 28.20 Grobogan 2016 1967739525055 28.31 Jepara 2016 1893756485921 28.27 Karanganyar 2016 1818357207631 28.23 kendal 2016 1681658043185 28.15 Kebumen 2016 2283531796631 28.46 Klaten 2016 1784595702994 28.21 Kudus 2016 1927792219453 28.29 magelang 2016 2073797409322 28.36 Pati 2016 2071848000283 28.36 Pekalongan 2016 1485041952057 28.03 Pemalang 2016 1843048079592 28.24 Purbalingga 2016 1555984728968 28.07 Purworejo 2016 1594894227866 28.10 rembang 2016 1438006027929 27.99 semarang 2016 1724190200906 28.18 sragen 2016 2108368506274 28.38 sukoharjo 2016 1650404440343 28.13 temanggung 2016 1468230608125 28.02 wonogiri 2016 1832895490836 28.24 wonosobo 2016 1375461687110 27.95 Tegal 2016 2070201492705 28.36 kot magelang 2016 871217302103 27.49 kot pekalongan 2016 869324083354 27.49 kot salatiga 2016 919667517133 27.55 kot semarang 2016 3931802540351 29.00 kot surakarta 2016 1680456921161 28.15 Kota Tegal 2016 1074082617386 27.70 Banjar negara 2017 2178823342905.00 28.45 Banyumas 2017 2549781048739.00 28.57 Batang 2017 1247094578564.00 27.85 Blora 2017 1975921281358.00 28.31 boyolali 2017 1787133997452.00 28.21 Brebes 2017 2767377461021.00 28.65 cilacap 2017 3014110475842.00 28.73 Demak 2017 1655418381539.00 28.14 Grobogan 2017 2343404799288.00 28.48

Jepara 2017 1899703524898.00 28.27 Karanganyar 2017 1732306772949.00 28.18 kendal 2017 1746984182399.00 28.19 Kebumen 2017 2113132464285.00 28.38 Klaten 2017 1846458264255.00 28.24 Kudus 2017 1773405620296.00 28.20 magelang 2017 1957966285066.00 28.30 Pati 2017 2071726133897.00 28.36 Pekalongan 2017 2037600968643.00 28.34 Pemalang 2017 1896830515438.00 28.27 Purbalingga 2017 1708374442209.00 28.17 Purworejo 2017 1773135401455.00 28.20 rembang 2017 1457482172598.00 28.01 semarang 2017 1741443297080.00 29.19 sragen 2017 1797357910150.00 28.22 sukoharjo 2017 1581523010006.00 28.09 temanggung 2017 1428210413585.00 27.99 wonogiri 2017 1972104990826.00 28.31 wonosobo 2017 1427840983195.00 27.99 Tegal 2017 2056964445808.00 28.35 kot magelang 2017 878847479147.00 27.50 kot pekalongan 2017 924172718082.00 27.55 kot salatiga 2017 849474262275.00 28.47 kot semarang 2017 4327958389741.00 29.10 kot surakarta 2017 1767486061945.00 28.20 Kota Tegal 2017 1016537313307.00 27.65

TABULASI KARAKTERISTIK KEPALA DAERAH DAN TEMUAN AUDIT

ATAS SPI

X7 X5 EDUC X6 AGE X8 TAS Kab/Kota Tahun TENURE Banjar negara 2015 3 60 5 4 Banyumas 2015 2 55 5 2 Batang 2015 2 41 5 2 Blora 2015 2 51 10 3 Boyolali 2015 2 49 8 10 Brebes 2015 2 43 10 3 Cilacap 2015 1 54 7 3 Demak 2015 3 59 3 3 Grobogan 2015 2 55 5 9 Jepara 2015 2 49 5 3 Karanganyar 2015 3 47 5 5 Kendal 2015 3 33 3 3 Kebumen 2015 4 50 10 5 Klaten 2015 3 40 5 4 Kudus 2015 2 50 5 14 Magelang 2015 2 37 5 7 Pati 2015 3 49 5 3 Pekalongan 2015 3 56 5 2 Pemalang 2015 3 52 10 2 Purbalingga 2015 3 55 1 2 Purworejo 2015 3 54 5 1 Rembang 2015 1 45 5 3 Semarang 2015 4 62 10 4 Sragen 2015 3 51 5 4 Sukoharjo 2015 3 53 10 5 temanggung 2015 2 60 5 6 wonogiri 2015 1 58 5 4 wonosobo 2015 3 45 10 7 Tegal 2015 4 47 7 2 kot magelang 2015 2 55 10 7 kot pekalongan 2015 2 44 1 3 kot salatiga 2015 3 48 10 2 kot semarang 2015 3 42 9 4 kot surakarta 2015 1 54 10 4 Kota Tegal 2015 1 50 3 2 Banjar negara 2016 3 62 5 3

Banyumas 2016 2 57 3 2 Batang 2016 2 43 4 3 Blora 2016 2 53 6 8 boyolali 2016 2 51 6 4 Brebes 2016 2 45 4 2 cilacap 2016 1 58 5 11 Demak 2016 3 58 1 8 Grobogan 2016 3 55 1 3 Jepara 2016 2 51 4 2 Karanganyar 2016 3 49 3 3 kendal 2016 3 35 2 2 Kebumen 2016 2 50 1 5 Klaten 2016 2 54 1 3 Kudus 2016 2 52 3 2 magelang 2016 2 39 2 11 Pati 2016 3 51 4 4 Pekalongan 2016 3 49 1 2 Pemalang 2016 3 54 5 5 Purbalingga 2016 3 47 11 8 Purworejo 2016 3 56 2 10 rembang 2016 1 54 1 5 semarang 2016 4 64 6 12 sragen 2016 2 41 1 5 sukoharjo 2016 3 55 6 2 temanggung 2016 2 62 3 5 wonogiri 2016 1 42 1 3 wonosobo 2016 3 33 1 4 Tegal 2016 4 48 4 2 kot magelang 2016 2 57 6 8 kot pekalongan 2016 2 46 1 2 kot salatiga 2016 3 50 5 3 kot semarang 2016 3 45 3 3 kot surakarta 2016 1 56 4 3 Kota Tegal 2016 1 52 2 12 Banjar negara 2017 1 65 1 2 Banyumas 2017 2 58 4 2 Batang 2017 2 44 5 3 Blora 2017 2 54 7 2 boyolali 2017 2 52 7 4 Brebes 2017 2 46 5 3 cilacap 2017 1 59 1 2

Demak 2017 3 59 1 4 Grobogan 2017 3 56 1 2 Jepara 2017 2 50 5 2 Karanganyar 2017 3 50 4 2 kendal 2017 3 36 2 2 Kebumen 2017 2 51 1 3 Klaten 2017 2 55 1 2 Kudus 2017 2 53 4 2 magelang 2017 2 40 3 2 Pati 2017 3 52 5 2 Pekalongan 2017 3 50 1 3 Pemalang 2017 3 55 7 2 Purbalingga 2017 3 48 1 2 Purworejo 2017 3 57 7 3 rembang 2017 1 55 1 3 semarang 2017 4 65 7 3 sragen 2017 2 43 7 2 sukoharjo 2017 3 56 1 3 temanggung 2017 2 63 7 2 wonogiri 2017 1 43 4 3 wonosobo 2017 3 34 1 2 Tegal 2017 4 50 1 2 kot magelang 2017 2 58 5 2 kot pekalongan 2017 2 47 7 3 kot salatiga 2017 3 51 6 2 kot semarang 2017 4 45 4 2 kot surakarta 2017 1 57 5 3 Kota Tegal 2017 1 53 3 3

LAMPIRAN REGRESI LOGISTIK

Descriptives

[DataSet1] D:\Skripsi\regresi logistik fix.sav

SIZE DEPEND WEALTH EXPEND EDUC AGE TENURE TAS OPINI

N Valid 105 105 105 105 105 105 105 105 105 Missing 0 0 0 0 0 0 0 0 0

Mean 27.94 0.49 0.18 28.18 2.39 50.83 4.50 3.84 0.79 Std. 1.27 0.06 0.06 0.44 0.84 7.09 2.79 2.62 Deviation 0.41 Minimum 25.59 0.30 0.08 26.16 1 33 1 1 0 Maximum 31.03 0.85 0.39 29.89 4 65 11 14 1

Iteration Historya,b,c,d

Coefficients

Iteration -2 Log likelihood Constant X1 X2 X3 X4 X5 X6 X7 X8

Step 1 1 90.306 -24.073 .281 7.508 .906 .426 .480 .011 -.096 .083

2 80.804 -51.334 .440 16.308 4.655 1.037 .756 .016 -.137 .156

3 77.005 -78.574 .509 25.076 11.698 1.728 .912 .018 -.151 .219

4 76.832 -85.874 .544 27.369 13.139 1.897 .970 .020 -.157 .241

5 76.831 -86.382 .547 27.532 13.228 1.909 .974 .020 -.157 .243

6 76.831 -86.384 .547 27.533 13.229 1.909 .974 .020 -.157 .243

7 76.831 -86.384 .547 27.533 13.229 1.909 .974 .020 -.157 .243

a. Method: Enter

b. Constant is included in the model.

c. Initial -2 Log Likelihood: 107.798

d. Estimation terminated at iteration number 7 because parameter estimates changed by less than .001.

Variables not in the Equation

Score df Sig.

Step 0 Variables X1 6.068 1 .014

X2 2.145 1 .143

X3 1.249 1 .264

X4 1.915 1 .166

X5 3.593 1 .058

X6 .021 1 .886

X7 3.520 1 .061

X8 .100 1 .752

Overall Statistics 20.840 8 .008

FREQUENCIES VARIABLES=OPINI /ORDER=ANALYSIS

Case Processing Summary

Unweighted Casesa N Percent

Selected Cases Included in Analysis 105 100.0

Missing Cases 0 .0

Total 105 100.0

Unselected Cases 0 .0

Total 105 100.0 a. If weight is in effect, see classification table for the total number of cases.

Dependent Variable Encoding

Original Value Internal Value

0 0

1 1

Block 0: Beginning Block

Iteration Historya,b,c

Coefficients

Iteration -2 Log likelihood Constant

Step 0 1 108.292 1.162

2 107.799 1.321

3 107.798 1.328

4 107.798 1.328 a. Constant is included in the model. b. Initial -2 Log Likelihood: 107.798 c. Estimation terminated at iteration number 4 because parameter estimates changed by less than .001.

Classification Tablea,b

Predicted

OPINI Percentage Observed 0 1 Correct

Step 0 OPINI 0 0 22 .0

1 0 83 100.0

Overall Percentage 79.0

Classification Tablea,b

Predicted

OPINI Percentage Observed 0 1 Correct

Step 0 OPINI 0 0 22 .0

1 0 83 100.0

Overall Percentage 79.0 a. Constant is included in the model. b. The cut value is .500

Variables in the Equation

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

Step 0 Constant 1.328 .240 30.660 1 .000 3.773

Block 1: Method = Enter

Omnibus Tests of Model Coefficients

Chi-square df Sig.

Step 1 Step 30.967 8 .000

Block 30.967 8 .000

Model 30.967 8 .000

Model Summary

Cox & Snell R Nagelkerke R Step -2 Log likelihood Square Square

1 76.831a .255 .398 a. Estimation terminated at iteration number 7 because parameter estimates changed by less than .001.

Hosmer and Lemeshow Test

Step Chi-square df Sig.

1 12.905 8 .115

Contingency Table for Hosmer and Lemeshow Test

OPINI = .00 OPINI = 1.00

Observed Expected Observed Expected Total

Step 1 1 8 8.101 3 2.899 11

2 6 5.120 5 5.880 11

3 2 2.847 9 8.153 11

4 0 2.130 11 8.870 11

5 2 1.499 9 9.501 11

6 1 1.066 10 9.934 11

7 3 .659 8 10.341 11

8 0 .378 11 10.622 11

9 0 .181 11 10.819 11

10 0 .018 6 5.982 6

Classification Tablea

Predicted

OPINI Percentage Observed 0 1 Correct

Step 1 OPINI 0 11 11 50.0

1 4 79 95.2

Overall Percentage 85.7 a. The cut value is .500

Variables in the Equation

95.0% C.I.for EXP(B)

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

Step 1a X1 .547 .268 4.157 1 .041 1.728 1.021 2.924

X2 27.533 8.306 10.988 1 .001 9.066E11 7.712E4 1.066E19

X3 13.229 5.433 5.928 1 .015 5.561E5 13.189 2.344E10

X4 1.909 .913 4.371 1 .037 6.744 1.127 40.366

X5 .974 .413 5.554 1 .018 2.649 1.178 5.956

X6 .020 .045 .203 1 .652 1.020 .935 1.114

X7 -.157 .109 2.094 1 .148 .854 .690 1.057

X8 .243 .129 3.529 1 .060 1.275 .990 1.643

Constant -86.384 29.848 8.376 1 .004 .000 a. Variable(s) entered on step 1: X1, X2, X3, X4, X5, X6, X7, X8.