lampiran 1 no nama perusahaan
TRANSCRIPT
LAMPIRAN 1
Daftar sampel perusahaan manufaktur
No Kode
Nama Perusahaan
Perusahaan
1 ADES PT. Akasha Wira International Tbk 2 AKPI PT. Argha Karya Prima Industry Tbk 3 ALDO PT. Alkindo Naratama Tbk 4 AMFG PT. Alsahimas Flat Glass Tbk 5 ARNA PT. Arwana Citra Mulia Tbk 6 ASII PT. Astra International Tbk 7 AUTO PT. Astra Auto Part Tbk 8 BUDI PT. Budi Starch and Sweetener Tbk 9 CEKA PT. Cahaya Kalbar Tbk
10 CPIN PT. Charoen Pokphand Indonesia Tbk 11 DLTA PT. Delta Djakarta Tbk 12 DPNS PT. Duta Pertiwi Nusantara Tbk 13 DVLA PT. Darya Varia Laboratoria Tbk 14 EKAD PT. Ekadharma Internasional Tbk 15 GGRM PT. Gudang Garam Tbk 16 HMSP PT. Hanjaya Mandala Sampoerna Tbk 17 ICBP PT. Indofood CBP Sukses Makmur Tbk 18 IGAR PT. Champion Pasific Indonesia Tbk 19 INAI PT. Indal Aluminium Industri Tbk 20 INCI PT. Intan Wijaya Internasional Tbk 21 INDF PT. Indofood Sukses Makmur Tbk 22 INDS PT. Indospring Tbk 23 INTP PT. Indocement Tunggak Prakasa Tbk 24 JECC PT. Jembo Cable Company Tbk 25 JPFA PT. Japha Comfeed Indonesia Tbk 26 KAEF PT. Kimia Farma Tbk 27 KBLI PT. KMI Wire and cable Tbk 28 KBLM PT. Kabelindo Murni Tbk 29 KLBF PT. Kalbe Farma Tbk 30 LION PT. Lion Metal Works Tbk 31 LMSH PT. Lionmesh Prima Tbk 32 MERK PT. Merck Tbk 33 MLBI PT. Multi Bintang Indonesia Tbk 34 MYOR PT. Mayora Indah Tbk
35 NIPS PT. Nippers Tbk 36 PYFA PT. Pyridam Farma Tbk 37 RICY PT. Ricky Putra Globalindo Tbk 38 ROTI PT. Nippon Indosari Corporindo Tbk
PT. Supreme Cable Manufacturing and 39 SCCO Commerce Tbk
40 SKBM PT. Sekar Bumi Tbk 41 SKLT PT. Sekar Laut Tbk 42 SMGR PT. Semen Gersik Tbk 43 SMSM PT. Selamat Sempurna Tbk 44 SRSN PT. Indo Acitama Tbk 45 STAR PT. Star Petrochem Tbk 46 STTP PT. Siantara Stop Tbk
47 TALF PT. Tunas Alfin Tbk
48 TCID PT. Mandom Indonesia Tbk
49 TOTO PT. Surya Toto Indonesia Tbk
PT. Ultrajaya Milk Industry and Training
50 ULTJ Company Tbk
51 UNIT PT. Nusantara Inti Corpora Tbk
52 WIIM PT. Wismilak Inti Makmur Tbk
LAMPIRAN 2
Hasil perhitungan dari DER,AK,UP,KK
Perusahaan Debt To
Arus Kas Ukuran kinerja
Equity Ratio Perusahaan keuangan
ADES 2013 0,665787943 -0,540504618 26,81245583 0,126185769
ADES 2014 0,721713533 1,527978654 26,9475569 0,061444148
ADES 2015 0,989298624 -0,350655828 27,20518594 0,055454178
ADES 2016 0,996625805 3,575883257 27,36637695 0,072990922
ADES 2017 0,986392789 -0,268194636 27,4569486 0,045966847
AKPI 2013 1,025090037 -2,988142098 28,36558237 0,0892605
AKPI 2014 1,158812691 -16,42936759 28,43169563 0,007596462
AKPI 2015 1,603134631 1,093642601 28,68990218 0,002795071
AKPI 2016 1,335559867 -1,757183817 28,59263284 0,00687314
AKPI 2017 1,436796907 2,786276438 28,6409209 0,005072002
ALDO 2013 1,15521963 0,918365879 26,43196697 0,109060845
ALDO 2014 1,237538098 -0,999246371 26,60048122 0,057072708
ALDO 2015 1,141302891 -0,944413571 26,62592873 0,065804688
ALDO 2016 1,042584823 16,35624126 26,74022896 0,061319007
ALDO 2017 1,173722954 -0,667853087 26,9352739 0,056616862
AMFG 2013 0,282051068 0,34231092 28,89497636 0,095597748
AMFG 2014 0,27235252 0,02786702 28,99670223 0,112879751
AMFG 2015 0,259585284 -0,389645406 29,08269934 0,075756948
AMFG 2016 0,529448798 -0,011266577 29,3366579 0,04731139
AMFG 2017 0,766140669 0,026020742 29,4664491 0,006153499
ARNA 2013 0,477241049 0,173255615 27,75786943 0,209380315
ARNA 2014 0,3803259 -0,143216874 27,86147821 0,20779555
ARNA 2015 0,599121423 -0,598684254 27,9892405 0,051866793
ARNA 2016 0,627713853 -0,145640206 28,06488986 0,059211344
ARNA 2017 0,555611895 1,568535734 28,1018654 0,073832416
ASII 2013 1,015237127 1,379086431 32,99696909 0,110788153
ASII 2014 0,963831363 -0,295858824 33,09497579 0,093848637
ASII 2015 0,939691622 0,218776471 33,13405326 0,067040153
ASII 2016 0,871649536 -0,250666049 33,19881203 0,075629642
ASII 2017 0,89117822 0,199824805 33,3201839 0,07656454
AUTO 2013 0,03200459 0,025978783 30,15553646 0,083417949
AUTO 2014 0,416541897 -0,520503628 30,29692386 0,079979133
AUTO 2015 0,413635787 0,570926279 30,29401189 0,019473663
AUTO 2016 0,386816644 0,222205942 30,31288298 0,035727225
AUTO 2017 0,372079628 -0,627864323 30,3230984 0,03067806
BUDI 2013 1,692146046 134,0206561 28,49932886 0,016700414
BUDI 2014 1,725159556 -0,693175069 28,538062 0,011396934
BUDI 2015 1,954942362 -0,564172711 28,81457272 0,044846328
BUDI 2016 1,516611415 3,00313855 28,70664007 0,012605195
BUDI 2017 1,460413493 -31,79444169 28,7092456 2,579617113
CEKA 2013 1,024754973 -0,89011848 27,69833139 0,060649114
CEKA 2014 1,388888917 -8,537815394 27,88111817 0,030390715
CEKA 2015 1,321989795 7,598945929 28,0269921 0,06887908
CEKA 2016 0,605959962 0,044319752 27,9858693 0,173936069
CEKA 2017 0,542157587 0,186065022 27,9622198 0,074947108
CPIN 2013 0,579977389 0,220138678 30,38609465 0,160835664
CPIN 2014 0,893810282 -0,883945018 30,66897148 0,083721946
CPIN 2015 0,965136206 -0,135291638 30,84655761 0,074263256
CPIN 2016 0,709725121 1,332325516 30,81758009 0,091628033
CPIN 2017 0,561667598 -0,609234673 30,8306160 0,100463601
DLTA 2013 0,281547065 0,403599596 27,48835187 0,311978469
DLTA 2014 0,311741554 -0,52899013 27,62293565 0,290412082
DLTA 2015 0,222099416 -0,292753375 27,66862698 0,184957282
DLTA 2016 0,183156265 0,053628261 27,81150486 0,216924645
DLTA 2017 1,743943919 -0,837591374 27,9243195 0,206131562
DPNS 2013 0,147451123 -1,10117142 26,26989796 0,004635371
DPNS 2014 0,138912446 -1,889590222 26,31752106 0,00281649
DPNS 2015 0,137536555 -8,727796875 26,33815557 0,037239687
DPNS 2016 1,248369159 1,766927703 26,41406292 0,035200721
DPNS 2017 0,151793932 -1,282708694 26,4549591 0,02125754
DVLA 2013 0,301028148 -0,102982323 27,80502004 0,1057065
DVLA 2014 0,310078199 -0,023331483 27,84310172 0,065463812
DVLA 2015 0,413717238 1,00284728 27,95040404 0,075694999
DVLA 2016 0,418483214 -0,124628472 28,05718097 0,094817115
DVLA 2017 0,469932855 0,23076426 28,1262575 0,903859168
EKAD 2013 0,445479909 -0,187898424 26,5627484 0,114815134
EKAD 2014 0,536830454 -0,800049178 26,74270733 0,099079125
EKAD 2015 0,334736624 3,348372308 26,68862148 0,781134118
EKAD 2016 0,186660347 -0,162925585 27,27792352 0,526847931
EKAD 2017 0,202091639 -0,389210762 27,4038289 0,102907439
GGRM 2013 0,725924098 -0,374497354 31,55833169 0,086348441
GGRM 2014 0,757517044 -0,329641957 31,69526036 0,092669828
GGRM 2015 0,668216292 0,294321688 31,78214626 0,101700244
GGRM 2016 0,592280901 1,167460213 31,77338783 0,104621288
GGRM 2017 0,582451448 0,182616448 31,8321242 0,115392901
HMSP 2013 0,936031525 1,642738156 30,94173178 0,394384861
HMSP 2014 1,10329826 0,02786623 30,97672799 0,352881349
HMSP 2015 0,187239279 -0,924907465 31,26888945 0,272423303
HMSP 2016 2,438408072 16,35357628 31,38071993 0,294770851
HMSP 2017 0,264652243 -1,027069716 31,3954964 0,289356199
ICBP 2013 0,603188697 -0,344593137 30,68819979 0,107518149
ICBP 2014 0,716193872 0,936719713 30,84629892 0,10125679
ICBP 2015 0,620843855 0,748452467 30,91045093 0,113893973
ICBP 2016 0,562197963 0,315426938 30,99493011 0,125777543
ICBP 2017 0,55574693 0,1285515 31,0847956 0,111678503
IGAR 2013 0,394271178 -0,019258353 26,47503385 0,111297187
IGAR 2014 0,360709642 -0,183991761 26,58089833 0,156901095
IGAR 2015 0,236651338 1,535848314 26,67374181 0,136523219
IGAR 2016 0,175830923 -0,204499409 26,80882545 0,157704308
IGAR 2017 0,160824449 -1,710268245 26,9635857 0,140513367
INAI 2013 5,063131169 -1,782189296 27,36429318 0,00655394
INAI 2014 6,340625063 0,053506035 27,52263565 0,02458392
INAI 2015 4,546886371 -0,395511369 27,916395 0,097098901
INAI 2016 4,189714149 -4,186293975 27,92296839 0,024235186
INAI 2017 3,375977311 -1,342978222 27,8248731 0,03032504
INCI 2013 0,079706896 2,07589307 25,63696476 0,075889904
INCI 2014 0,08303646 -1,737751826 25,71882704 0,074638138
INCI 2015 0,100581796 1,50894197 25,8563905 0,100035704
INCI 2016 0,109234053 -1,321531533 26,31928261 0,037084778
INCI 2017 0,131934527 -2,508782043 26,4395972 0,078124652
INDF 2013 1,035090467 -0,064578824 31,98891884 0,062704663
INDF 2014 1,137280325 0,337797509 32,08626628 0,055910452
INDF 2015 1,129594934 -0,391868854 32,15097678 0,053003007
INDF 2016 0,870092259 0,702957296 32,03986633 0,060655119
INDF 2017 0,880788055 -0,093065349 32,1076701 0,057301539
INDS 2013 0,253101405 1,448042245 28,41789466 0,187246013
INDS 2014 0,252376593 -0,742288684 28,45636521 0,05603883
INDS 2015 0,330837182 -0,567393632 28,56865382 0,051867227
INDS 2016 0,197870399 0,748313259 28,53817927 0,058389739
INDS 2017 0,135115565 0,65559467 28,5208107 0,046010321
INTP 2013 0,136412265 -0,045032954 30,91220451 0,196110262
INTP 2014 0,165430903 -0,013776953 30,99434261 0,178424124
INTP 2015 0,158066618 -0,068302767 30,95015341 0,154094099
INTP 2016 0,152434449 -0,297676604 31,03722528 0,126049449
INTP 2017 0,164403227 -0,215534023 29,0913020 0,426653331
JECC 2013 7,396443367 -149,2607591 27,84598871 0,018493426
JECC 2014 5,395248801 -0,645374308 27,69162317 0,022301407
JECC 2015 2,693925114 -0,81903368 27,93737583 0,154906223
JECC 2016 2,374614473 7,555447121 28,09299924 0,08368271
JECC 2017 2,522325584 -0,533828849 28,2874967 0,089006454
JPFA 2013 1,844034056 -0,419610531 30,33356217 0,072225675
JPFA 2014 1,973620575 8,046380084 30,38661849 0,042064889
JPFA 2015 1,808564818 7,368944006 30,47357109 0,053932797
JPFA 2016 1,053888823 -0,837125686 30,58858547 0,145673794
JPFA 2017 1,152885961 -0,289100928 30,6797665 0,049115624
KAEF 2013 0,521797897 0,100475884 28,55318427 0,085751879
KAEF 2014 0,750517486 0,128162664 28,7338839 0,078509276
KAEF 2015 0,737946189 -0,306626522 28,86500291 0,058386262
KAEF 2016 1,030706831 0,12550128 29,15980468 0,053526243
KAEF 2017 1,369718091 -0,973535879 29,4386784 0,05312644
KBLI 2013 0,507948732 -3,85367376 27,92146609 0,055022686
KBLI 2014 0,447039542 -7,270625042 27,92171226 0,052443923
KBLI 2015 0,510470453 -2,700681003 28,07043656 0,075237325
KBLI 2016 0,415985409 7,306794811 28,25771991 0,172080099
KBLI 2017 0,686731056 -1,171909263 28,7342098 0,108403742
KBLM 2013 1,426337476 0,340009304 27,20682608 0,011734891
KBLM 2014 1,23122257 -1,056256617 27,19668861 0,031841614
KBLM 2015 1,207217736 -1,280995615 27,2069628 0,018013087
KBLM 2016 0,993079211 0,110323169 27,18331327 0,031472632
KBLM 2017 0,560720554 -2,69818742 27,8422531 0,386134833
KLBF 2013 0,331190262 -0,326357611 30,05715581 0,177130609
KLBF 2014 0,273979793 1,498076591 30,15187931 0,171168879
KLBF 2015 0,252153893 1,618352781 30,24815541 0,152112983
KLBF 2016 0,221613924 -0,110316226 30,35402621 0,154598878
KLBF 2017 0,1959264 -0,070152056 30,4414016 0,147021552
LION 2013 0,199102159 -0,210933974 26,93500562 0,129894747
LION 2014 0,420798483 0,176506476 27,12036667 0,081655405
LION 2015 0,406359127 -0,058050187 27,18368683 0,077310959
LION 2016 0,457306605 0,076643219 27,25387083 0,053673519
LION 2017 0,507687953 -0,818729817 27,2482045 0,003681266
LMSH 2013 0,282701576 0,304669354 25,68399353 0,100792861
LMSH 2014 0,252608254 -0,276154742 25,67227381 0,052491341
LMSH 2015 0,189800005 -0,210208642 25,61948306 0,006042083
LMSH 2016 0,387939566 -0,370222897 25,81596131 0,032887995
LMSH 2017 0,243333871 1,23953206 25,8056848 0,082311069
MERK 2013 0,360642288 1,100129527 27,26997423 0,25173353
MERK 2014 0,306501152 0,560509394 27,29001679 0,255215169
MERK 2015 0,354990858 0,097221129 27,18730386 0,231932831
MERK 2016 0,27676342 -0,784994641 27,33521936 0,206912175
MERK 2017 0,376267493 1,966273158 27,4649743 0,184136679
MLBI 2013 0,804646528 1,187694958 28,20884049 0,657200749
MLBI 2014 0,302864407 -0,221681742 28,43349389 0,35628186
MLBI 2015 0,17409104 -0,221681742 28,37336457 0,239723579
MLBI 2016 1,77227286 0,358165295 28,45301787 0,431697844
MLBI 2017 1,357091008 0,066595166 28,5513349 0,526237432
MYOR 2013 1,464829388 0,188835046 29,90420041 0,103886807
MYOR 2014 1,52585366 -1,873676886 29,96230134 0,040069049
MYOR 2015 1,183617902 1,367508102 30,05959686 0,111659267
MYOR 2016 1,062552893 -0,717854207 30,18998505 0,104138127
MYOR 2017 1,028167978 0,934632493 30,3334455 0,105266575
NIPS 2013 2,383860699 -8,441101103 27,40588511 0,042424585
NIPS 2014 1,095618169 -0,756828403 27,81903842 0,096961314
NIPS 2015 1,541401119 -4,062640757 28,06780405 0,017302594
NIPS 2016 1,110131386 -1,583477563 28,20648573 0,080368421
NIPS 2017 1,157970803 -0,900000179 28,2718020 0,019458592
PYFA 2013 0,864925953 12,05231743 25,88873113 0,03538053
PYFA 2014 0,777172222 -1,251425431 25,87503387 0,015385651
PYFA 2015 0,58020434 -3,680642346 25,79813671 0,025791861
PYFA 2016 0,58340215 -0,550777114 25,8416356 0,025659401
PYFA 2017 0,46582577 1,967713504 25,7957105 0,030702066
RICY 2013 1,336611095 -2,959225202 27,49086936 0,010032539
RICY 2014 2,003133299 -1,555436272 27,78974345 0,012893661
RICY 2015 1,972397298 -2,569898562 27,81183643 0,010334467
RICY 2016 2,124089285 -0,380919289 27,8846426 0,01030509
RICY 2017 2,194411818 1,579819318 27,9490710 0,010497113
ROTI 2013 1,315003033 0,663764743 28,23133403 0,086693488
ROTI 2014 1,247202496 0,160171571 28,3931785 0,088001318
ROTI 2015 1,277024864 0,765841364 28,62661224 0,097442421
ROTI 2016 1,023661253 -0,253476891 28,70248173 0,090213957
ROTI 2017 0,616809499 -0,106305656 29,1482503 0,027298069
SCCO 2013 1,490113888 -0,848311641 28,19748897 0,059568893
SCCO 2014 1,044568608 1,98832911 28,13543051 0,08310284
SCCO 2015 9,595888544 8,516149684 28,20377554 0,086029686
SCCO 2016 1,007451648 1,639288349 28,52708281 0,139597839
SCCO 2017 0,471374588 -1,134444105 29,0208703 0,067193289
SKBM 2013 0,595854153 -2,17103882 26,933168 0,117083667
SKBM 2014 0,510557167 -0,129969396 27,19952107 0,137199885
SKBM 2015 1,221773191 0,103123761 27,36246726 0,052794741
SKBM 2016 1,80045335 -0,944684514 27,63267676 0,021109269
SKBM 2017 0,586168937 0,312124239 28,11531433 0,014820134
SKLT 2013 1,162468485 0,27568722 26,43365805 0,03788216
SKLT 2014 1,454062138 1,483147351 26,52711954 0,049704352
SKLT 2015 1,480262893 2,208847454 26,65580474 0,048268594
SKLT 2016 0,918748788 -1,541607768 27,0658096 0,297727238
SKLT 2017 1,068747528 1,916064124 27,1789112 0,022830695
SMGR 2013 0,412260051 0,081418756 31,05830474 0,190044643
SMGR 2014 0,372452034 0,111461376 31,16659396 0,009568396
SMGR 2015 0,390379331 0,205293329 31,27262862 0,122196152
SMGR 2016 0,446533974 -0,289298282 31,42035423 0,098771206
SMGR 2017 0,608575145 -0,47004228 31,5220963 0,034874836
SMSM 2013 0,689615532 0,268814057 28,16909803 0,197478265
SMSM 2014 4,048442256 0,004088994 30,09482287 0,03578363
SMSM 2015 0,54147619 0,187386169 28,42857696 0,200930766
SMSM 2016 0,427000959 0,095596321 28,44405578 0,210445107
SMSM 2017 0,336466873 -0,234730451 28,5243875 0,230545798
SRSN 2013 0,252878629 -6,08290561 26,76538202 0,107351151
SRSN 2014 0,43489461 -0,746021226 26,865194 0,031101903
SRSN 2015 0,688054548 -3,025196644 27,07602295 0,027957445
SRSN 2016 0,783716512 -2,496389211 27,29855045 0,086416819
SRSN 2017 0,570919825 -0,252187826 27,2044240 0,020609347
STAR 2013 0,529941788 -1,211917074 27,34254238 0,000759866
STAR 2014 0,587015792 -6,663021321 27,37731246 0,000449683
STAR 2015 0,488781439 4,94950213 27,31496776 0,001154294
STAR 2016 0,408471025 0,099637345 27,26022893 0,000507025
STAR 2017 0,25377778 1,164940529 27,1444084 0,000417007
STTP 2013 1,117849343 1,397932793 28,01632392 0,077845201
STTP 2014 1,084833149 -0,684325248 28,16176942 0,07261799
STTP 2015 0,902805391 2,321808325 28,2831213 0,095602873
STTP 2016 1,000327699 -0,147077281 28,47997783 0,073080942
STTP 2017 0,691565346 0,812664971 28,4822110 0,092143062
TALF 2013 0,253767078 1,309076645 26,55636356 0,112441142
TALF 2014 0,321365608 0,349494383 26,7962536 0,132850442
TALF 2015 0,239885403 -0,774758779 26,79679499 0,083739739
TALF 2016 0,172600501 0,92434954 27,5050871 0,460208894
TALF 2017 0,202405736 -0,956469893 27,5489875 0,019896696
TCID 2013 0,239191883 0,013568028 28,01352629 0,109528641
TCID 2014 0,488358934 -0,513294331 28,24795406 0,094380036
TCID 2015 0,214141628 -0,524204432 28,3643966 0,259890176
TCID 2016 0,225397792 1,187371506 28,41268319 0,068978212
TCID 2017 0,270932421 0,376670457 28,4904482 0,066730749
TOTO 2013 0,892514141 0,704216892 28,18845033 0,135471616
TOTO 2014 0,646606023 -0,040291154 28,33277549 0,146044495
TOTO 2015 0,635581975 -0,252055866 28,52283097 0,138545615
TOTO 2016 0,693998361 0,27518124 28,57936886 0,06049784
TOTO 2017 0,668735883 0,377816841 28,6700571 0,089325278
ULTJ 2013 0,395243936 -0,601326269 28,66478229 0,115637002
ULTJ 2014 0,283651685 -0,346787488 28,70160545 0,063543231
ULTJ 2015 0,265411512 2,569978017 28,89514669 0,148079136
ULTJ 2016 0,214937495 0,34872395 29,0753956 0,165100667
ULTJ 2017 0,232416712 0,13653519 29,2771650 0,133921349
UNIT 2013 0,903026384 -0,811186513 26,85257513 0,001811852
UNIT 2014 0,81852003 10,24270048 26,81122811 0,000899604
UNIT 2015 0,895424143 -13,06505363 26,85566421 0,001589045
UNIT 2016 0,774075691 -2,219189826 26,79380304 0,001988333
UNIT 2017 0,73851231 -0,85762861 26,7786076 0,002491
WIIM 2013 0,572914348 -3,545067755 27,83723111 0,107711774
WIIM 2014 0,560005292 -2,320328808 27,91838389 0,084587633
WIIM 2015 0,422790365 -2,860778295 27,92570366 0,093622009
WIIM 2016 0,365798767 1,174419675 27,93381403 0,073838756
WIIM 2017 0,253167283 0,423509052 27,83454309 0,015983682
LAMPIRAN 3Hasil Uji SPSS
Tabel 4.2 Hasil Uji Statistik Deskriptif
Descriptive Statistics
N Minimum Maximum Mean Std. Deviation
DER 210 ,0320 7,3964 ,926008 ,9599257
AK 210 -149,2608 134,0207 -,262778 14,1965311
SIZE 210 25,6195 33,3202 28,419099 1,7624188
KK 210 ,0004 ,1608 ,066145 ,0412991
Valid N 210 (listwise)
Sumber: Output SPSS, Deskriptive Statistics
Gambar 4.2
Grafik Normalitas
Gambar 4.2 Histogram Normalitas
Tabel 4.3 Hasil Uji Normalitas
One-Sample Kolmogorov-Smirnov Test
Standardized
Residual
N 210
Normal Parametersa,b Mean ,0000000
Std. Deviation ,99279703
Most Extreme Differences Absolute ,053
Positive ,053
Negative -,045
Test Statistic ,053
Asymp. Sig. (2-tailed) ,200c,d
a. Test distribution is Normal.
b. Calculated from data.
c. Lilliefors Significance Correction.
d. This is a lower bound of the true significance. Sumber: Output SPSS , Kolmogrov-Smirnov
Tabel 4.4 Hasil Uji Autokorelasi
Change Statistics R Std. Error R F Squar Adjusted of the Square Chang Sig. F Durbin-
Model R e R Square Estimate Change e df1 df2 Change Watson
1 ,450a ,202 ,190 ,0371589 ,202 17,390 3 206 ,000 1,172
a. Predictors: (Constant), SIZE, DER, AK
b. Dependent Variable: KK Sumber: Output SPSS, Model Summary (2018)
Tabel 4.5
Hasil Uji Multikolinearitas
Coefficientsa
Unstandardiz Standardize ed d Coefficients Coefficients Collinearity Statistics
Std. Erro Model B r Beta t Sig. Tolerance VIF
1 (Constant) -,131 ,042 -3,162 ,002
DER -,015 ,003 -,343 -5,248 ,000 ,908 1,102
AK ,000 ,000 -,084 -1,282 ,201 ,907 1,103
SIZE ,007 ,001 ,317 5,091 ,000 ,998 1,002
b. Dependent Variable: KK Sumber: Output SPSS, Coefficients
Gambar 4.3
Grafik Scatterplot
Sumber: Output SPSS , Sccatterplot
Tabel 4.6 Hasil Uji Analisis Regresi Linear Berganda
Coefficientsa
Standardi zed Unstandardized Coefficie Collinearity
Coefficients nts Correlations Statistics
Std. Zero- Tolera Model B Error Beta T Sig. order Partial Part nce VIF
1 (Consta -,131 ,042 -3,162 ,002 nt) DER -,015 ,003 -,343 -5,248 ,000 -,312 -,343 -,327 ,908 1,102
AK ,000 ,000 -,084 -1,282 ,201 ,030 -,089 -,080 ,907 1,103
SIZE ,007 ,001 ,317 5,091 ,000 ,308 ,334 ,317 ,998 1,002 c. Dependent Variable: KK Sumber: Output SPSS, Coefficients
Tabel 4.7
Hasil Uji t
Standardize Unstandardized d Coefficients Coefficients Model B Std. Error Beta t Sig.
1 (Constant -,131 ,042 -3,162 ,002
) DER -,015 ,003 -,343 -5,248 ,000
AK ,000 ,000 -,084 -1,282 ,201
SIZE ,007 ,001 ,317 5,091 ,000
Tabel 4.8 Hasil Uji Koefisien Determinasi
Model Summaryb
Change Statistics Std. Error F Mod R Adjusted of the R Square Chang Sig. F Durbin-
el R Square R Square Estimate Change e df1 df2 Change Watson
1 ,450a ,202 ,190 ,0371589 ,202 17,390 3 206 ,000 1,172
a. Predictors: (Constant), SIZE, DER, AK d. Dependent Variable: KK
Sumber Output SPSS, Model Summary
IDENTITAS DIRI
Nama : Adinda Mulia Ari Rahayu
Tempat & Tanggal Lahir : Jakarta, 02 Agustus 1996
Agama : Islam
Alamat : Cipinang Lontar, Rt 10, Rw 06, No 03A
Kec: Jatinegara, Kel: Cipinang Lontar
Jakarta Timur
Kontak Pribadi : 0857-3277-0738
E-Mail : [email protected]
RIWAYAT PENDIDIKAN
SDN 012 Pagi Cipinang Lontar, Jakarta , 2002 sampai 2008 SMPN 25 Cipinang Muara, Jakarta, 2008 sampai 2011 SMK Muara Indonesia, Jakarta, 2011 sampai 2014 S1 Universitas Darma Persada, Jakarta 2014-2018
PENGALAMAN KERJA
Magang Kantor Pelayanan Pajak Pratama Jakarta Pulogadung dari bulan Maret – April 2013.
Magang di PT Enseval Putera Megatrading dari bulan Februari – April 2017.
PENGALAMAN ORGANISASI
Divisi Inventaris Unit Kegiatan Mahasiswa Badminton Unsada
2015-2018
KEMAMPUAN
Microsoft Word Microsoft Exel Ms Power Point