lampiran - unjrepository.unj.ac.id/5122/8/lampiran.pdf · 106 lampiran 6 – data s-score tahun...
TRANSCRIPT
100
LAMPIRAN
101
Lampiran 1 – Daftar Sampel Perusahaan
No Kode Nama Perusahaan
1 ACES PT Ace Hardware Indonesia Tbk
2 AMRT PT Sumber Alfaria Trijaya Tbk
3 DNET PT Indoritel Makmur Internasional Tbk
4 ERAA PT Erajaya Swasembada Tbk
5 GLOB PT Global Teleshop Tbk
6 HERO PT Hero Supermarket Tbk
7 LPPF PT Matahari Department Store Tbk
8 MAPI PT Mitra Adiperkasa Tbk
9 MPPA PT Matahari Putra Prima Tbk
10 PTSP PT Pioneerindo Gourmet International Tbk
11 RALS PT Ramayana Lestari Sentosa Tbk
12 RANC PT Supra Boga Lestari Tbk
13 TELE PT Tiphone Mobile Indonesia Tbk
14 TRIO PT Trikomsel Oke Tbk
102
Lampiran 2 – Daftar Kondisi Perusahaan Berdasarkan Nilai Springate
2015 2016 2017 2018
Bangkrut Sehat Bangkrut Sehat Bangkrut Sehat Bangkrut Sehat
HERO ACES TRIO ACES
DNET ACES
GLOB ACES
PTSP AMRT
AMRT
GLOB AMRT
HERO AMRT
TRIO DNET
DNET
HERO LPPF
MPPA DNET
ERAA
ERAA
MPPA MAPI
TRIO ERAA
GLOB
GLOB
TRIO PTSP
LPPF
LPPF
HERO
RALS
MAPI
MAPI
LPPF
RANC
PTSP
MPPA
MAPI
TELE
RALS
RALS
MPPA
RANC
RANC
PTSP
TELE
TELE
RALS
RANC
TELE
Sumber: Data diolah oleh peneliti, 2019
103
Lampiran 3 – Data S-Score Tahun 2015
NO KODE
PERUSAHAAN
A
(WC/TA)
B
EBIT/TA
C
EBT/CA
D
S/TA
S-Score
A+B+C+D FD
1 ACES 0.6289 0.2353 1.7866 1.4368 3.124 0
2 AMRT 0.047 0.0753 0.0831 3.1762 1.605 0
3 DNET 0.0362 0.0495 23.642 0.0537 15.814 0
4 ERAA 0.1367 0.0612 0.0728 2.565 1.403 0
5 GLOB 16.581 8.6922 2.7006 20.425 53.716 0
6 HERO 0.0704 -0.036 -0.052 1.8402 0.665 1
7 LPPF -0.043 0.601 0.9204 2.3158 3.335 0
8 MAPI 0.2537 0.0551 0.045 1.3533 1.001 0
9 MPPA 0.1484 0.0509 0.0966 2.2879 1.288 0
10 PTSP 0.0001 0.0346 0.0166 1.3964 0.676 1
11 RALS 0.3476 0.0548 0.2938 1.2094 1.204 0
12 RANC 0.1374 -0.021 -0.076 2.658 1.090 0
13 TELE 0.7164 0.1089 0.3984 3.0917 2.572 0
14 TRIO -4.283 -10.68 -2.364 8.0208 -35.566 1
Sumber: Data diolah oleh peneliti, 2019
104
Lampiran 4 – Data S-Score Tahun 2016
NO KODE
PERUSAHAAN
A
(WC/TA)
B
EBIT/TA
C
EBT/CA
D
S/TA
S-Score
A+B+C+D FD
1 ACES 0.6522 0.236 2.2208 1.309 3.386 0
2 AMRT -0.061 0.0653 0.0597 2.8811 1.330 0
3 DNET 0.0157 0.0469 22.859 0.054 15.269 0
4 ERAA 0.1661 0.0719 0.0975 2.7674 1.563 0
5 GLOB -2.902 1.1771 0.4663 7.5465 3.951 0
6 HERO 0.113 -0.0045 0.0936 1.8269 0.895 0
7 LPPF 0.0794 0.5215 0.9785 2.0369 3.143 0
8 MAPI 0.2279 0.0831 0.096 1.3244 1.083 0
9 MPPA 0.1147 0.0264 0.0303 2.0185 1.027 0
10 PTSP -0.025 0.0608 0.0891 1.633 0.873 0
11 RALS 0.3274 0.0792 0.3551 1.2604 1.319 0
12 RANC 0.2095 0.0709 0.1954 2.8617 1.707 0
13 TELE 0.7577 0.1235 0.5085 3.3242 2.825 0
14 TRIO -9.244 -0.8478 -0.1034 3.9941 -10.595 1
Sumber: Data diolah oleh peneliti, 2019
105
Lampiran 5 – Data S-Score Tahun 2017
NO KODE
PERUSAHAAN
A
(WC/TA)
B
EBIT/TA
C
EBT/CA
D
S/TA
S-Score
A+B+C+D FD
1 ACES 0.6503 0.21917 2.00745 1.3272 3.198 0
2 AMRT -0.069 0.04735 0.02921 2.80639 1.216 0
3 DNET 0.1616 0.01833 0.48597 0.02984 0.555 1
4 ERAA 0.18435 0.06762 0.09501 2.73048 1.552 0
5 GLOB -3.5319 -0.4113 -0.051 10.2206 -0.846 1
6 HERO 0.07378 -0.044 -0.1257 1.77012 0.566 1
7 LPPF 0.06687 0.4379 0.91783 1.84691 2.758 0
8 MAPI 0.19551 0.09807 0.13089 1.42715 1.160 0
9 MPPA -0.2562 -0.2873 -0.4307 2.31484 -0.504 1
10 PTSP -0.0401 0.07159 0.1309 1.7526 0.966 0
11 RALS 0.41801 0.07702 0.44495 1.14939 1.420 0
12 RANC 0.22538 0.05376 0.15588 2.72328 1.589 0
13 TELE 0.68182 0.11788 0.27131 3.19028 2.519 0
14 TRIO -1.8646 -0.2853 -0.1862 7.6231 0.130 1
Sumber: Data diolah oleh peneliti, 2019
106
Lampiran 6 – Data S-Score Tahun 2018
NO KODE
PERUSAHAAN
A
(WC/TA)
B
EBIT/TA
C
EBT/CA
D
S/TA
S-Score
A+B+C+D FD
1 ACES 0.65121 0.23096 1.90587 1.36055 3.182 0
2 AMRT 0.07507 0.06331 0.07793 3.01441 1.529 0
3 DNET 0.30105 0.0223 0.95654 0.03807 1.025 0
4 ERAA 0.18238 0.12044 0.15543 2.73945 1.756 0
5 GLOB -6.3551 -0.0506 -0.0815 13.8363 -1.221 1
6 HERO 0.1268 -0.0239 -0.5782 2.06803 0.503 1
7 LPPF 0.05452 0.31111 0.57497 2.03423 2.204 0
8 MAPI 0.14992 0.11918 0.21654 1.49779 1.262 0
9 MPPA -0.0862 -0.1933 -0.3708 2.22362 -0.037 1
10 PTSP 0.02135 0.11256 0.2948 2.03455 1.376 0
11 RALS 0.47003 0.11576 0.65609 1.0947 1.710 0
12 RANC 0.21627 0.05624 0.17173 2.60577 1.551 0
13 TELE 0.73667 0.12003 0.41608 3.51874 2.809 0
14 TRIO -3.6193 -0.2678 -0.0148 8.63286 -1.107 1
Sumber: Data diolah oleh peneliti, 2019
107
Lampiran 7 – Data NPM = Earning After Tax/Sales (Profitabilitas)
NO KODE NPM 2015 NPM 2016 NPM 2017 NPM 2018
1 ACES 0.15041 0.11975 0.13146 0.13485
2 AMRT 0.00962 0.00987 0.00419 0.01000
3 DNET 0.97461 0.88364 0.00053 0.51148
4 ERAA 0.01149 0.01274 0.01433 0.02560
5 GLOB -0.44633 -0.20987 -0.02360 -0.04157
6 HERO -0.01004 0.00882 -0.01469 -0.09639
7 LPPF 0.19772 0.20407 0.23710 0.10711
8 MAPI 0.00235 0.01473 0.02147 0.04302
9 MPPA 0.01607 0.00284 -0.09898 -0.08401
10 PTSP -0.00385 0.00952 0.01910 0.03147
11 RALS 0.06074 0.06974 0.07231 0.10229
12 RANC -0.01055 0.01916 0.01721 0.02121
13 TELE 0.01682 0.01717 0.01498 0.01514
14 TRIO -1.35765 -0.29401 -0.09363 -0.01022
Sumber: Data diolah oleh peneliti, 2019
108
Lampiran 8 – Data CR = Current Asset/Current Liabilities (Likuiditas)
NO KODE CR 2015 CR 2016 CR 2017 CR 2018
1 ACES 5.98463 7.26115 7.02261 6.49116
2 AMRT 1.10178 0.89605 0.88421 1.14956
3 DNET 17.21012 8.44517 6.20491 15.62408
4 ERAA 1.24236 1.31333 1.32402 1.29883
5 GLOB 0.09649 0.15891 0.13143 0.08566
6 HERO 1.23201 1.42939 1.27143 1.36696
7 LPPF 0.93191 1.14901 1.13901 1.10022
8 MAPI 1.73109 1.58234 1.48937 1.34950
9 MPPA 1.31798 1.23054 0.64131 0.85639
10 PTSP 1.00046 0.92863 0.89046 1.06827
11 RALS 2.28118 2.16157 2.95001 3.25451
12 RANC 1.33489 1.59395 1.59960 1.56074
13 TELE 5.06361 5.98915 3.87935 5.18859
14 TRIO 0.07652 0.05446 0.25993 0.15481
Sumber: Data diolah oleh peneliti, 2019
109
Lampiran 9 – Data DR = Total Debt/Total Asset (Leverage)
NO KODE DR 2015 DR 2016 DR 2017 DR 2018
1 ACES 0.19547 0.18289 0.20737 0.20404
2 AMRT 0.68082 0.72812 0.76029 0.72852
3 DNET 0.00762 0.01268 0.22286 0.37783
4 ERAA 0.58907 0.54083 0.58230 0.61952
5 GLOB 5.53651 10.11578 12.24829 19.97014
6 HERO 0.33146 0.27104 0.29395 0.37156
7 LPPF 0.71559 0.61817 0.57107 0.63946
8 MAPI 0.68629 0.70014 0.62869 0.52012
9 MPPA 0.58325 0.63745 0.78365 0.76100
10 PTSP 0.53381 0.53249 0.51830 0.46588
11 RALS 0.27128 0.28182 0.28569 0.26999
12 RANC 0.46236 0.40225 0.42713 0.44243
13 TELE 0.60506 0.60984 0.59503 0.53369
14 TRIO 8.90763 16.83442 14.40866 19.51133
Sumber: Data diolah oleh peneliti, 2019
110
Lampiran 10 – Data Kep_Man = Kepman/ Total Saham
(Kepemilikan Manajerial)
NO KODE Kep_Man
2015
Kep_Man
2016
Kep_Man
2017
Kep_Man
2018
1 ACES 0.00001 0.00001 0.00001 0.00001
2 AMRT 0.00000 0.00010 0.01878 0.01552
3 DNET 0.00000 0.00000 0.30163 0.25298
4 ERAA 0.00352 0.00352 0.00310 0.00282
5 GLOB 0.00000 0.00000 0.00000 0.00000
6 HERO 0.00000 0.00000 0.00000 0.00000
7 LPPF 0.00001 0.00001 0.00000 0.00000
8 MAPI 0.00000 0.00000 0.00000 0.00000
9 MPPA 0.00000 0.00000 0.00001 0.00005
10 PTSP 0.00000 0.00000 0.10676 0.10676
11 RALS 0.03664 0.03664 0.07927 0.07927
12 RANC 0.04108 0.04631 0.04695 0.05182
13 TELE 0.00000 0.00000 0.00000 0.00000
14 TRIO 0.00000 0.00000 0.00000 0.00000
Sumber: Data diolah oleh peneliti, 2019
111
Lampiran 11 – Data Kep_Ins = Kep Ins/Total Saham
(Kepemilikan Institusional)
NO KODE Kep_Ins
2015
Kep_Ins
2016
Kep_Ins
2017
Kep_Ins
2018
1 ACES 0.59970 0.59970 0.59970 0.59970
2 AMRT 0.52541 0.52541 0.52541 0.52541
3 DNET 0.97122 0.92434 0.67459 0.67177
4 ERAA 0.59965 0.59965 0.59965 0.54514
5 GLOB 0.89687 0.89687 0.89687 0.89687
6 HERO 0.86567 0.87086 0.87148 0.83714
7 LPPF 0.20478 0.17478 0.17478 0.17478
8 MAPI 0.56000 0.56000 0.51491 0.51000
9 MPPA 0.76318 0.76318 0.76318 0.83120
10 PTSP 0.85419 0.86887 0.64107 0.64053
11 RALS 0.55877 0.61468 0.61982 0.61982
12 RANC 0.68519 0.74191 0.75042 0.75042
13 TELE 0.83168 0.76347 0.75002 0.82621
14 TRIO 0.90975 0.95887 0.91690 0.93103
Sumber: Data diolah oleh peneliti, 2019
112
Lampiran 12 – Data Tabulasi
Tahun Kode FD NPM CR DR Kep_Man Kep_Ins
2015 ACES 0.00 0.15041 5.98463 0.19547 0.00001 0.59970
2016 ACES 0.00 0.11975 7.26115 0.18289 0.00001 0.59970
2017 ACES 0.00 0.13146 7.02261 0.20737 0.00001 0.59970
2018 ACES 0.00 0.13485 6.49116 0.20404 0.00001 0.59970
2015 AMRT 0.00 0.00962 1.10178 0.68082 0.00000 0.52541
2016 AMRT 0.00 0.00987 0.89605 0.72812 0.00010 0.52541
2017 AMRT 0.00 0.00419 0.88421 0.76029 0.01878 0.52541
2018 AMRT 0.00 0.01000 1.14956 0.72852 0.01552 0.52541
2015 DNET 0.00 0.97461 17.21012 0.00762 0.00000 0.97122
2016 DNET 0.00 0.88364 8.44517 0.01268 0.00000 0.92434
2017 DNET 1.00 0.00053 6.20491 0.22286 0.30163 0.67459
2018 DNET 0.00 0.51148 15.62408 0.37783 0.25298 0.67177
2015 ERAA 0.00 0.01149 1.24236 0.58907 0.00352 0.59965
2016 ERAA 0.00 0.01274 1.31333 0.54083 0.00352 0.59965
2017 ERAA 0.00 0.01433 1.32402 0.58230 0.00310 0.59965
2018 ERAA 0.00 0.02560 1.29883 0.61952 0.00282 0.54514
2015 GLOB 0.00 -0.44633 0.09649 5.53651 0.00000 0.89687
2016 GLOB 0.00 -0.20987 0.15891 10.11578 0.00000 0.89687
2017 GLOB 1.00 -0.02360 0.13143 12.24829 0.00000 0.89687
2018 GLOB 1.00 -0.04157 0.08566 19.97014 0.00000 0.89687
2015 HERO 1.00 -0.01004 1.23201 0.33146 0.00000 0.86567
2016 HERO 0.00 0.00882 1.42939 0.27104 0.00000 0.87086
2017 HERO 1.00 -0.01469 1.27143 0.29395 0.00000 0.87148
2018 HERO 1.00 -0.09639 1.36696 0.37156 0.00000 0.83714
2015 LPPF 0.00 0.19772 0.93191 0.71559 0.00001 0.20478
2016 LPPF 0.00 0.20407 1.14901 0.61817 0.00001 0.17478
2017 LPPF 0.00 0.23710 1.13901 0.57107 0.00000 0.17478
2018 LPPF 0.00 0.10711 1.10022 0.63946 0.00000 0.17478
Sumber: Data diolah oleh peneliti, 2019
113
Lampiran 13 – Data Tabulasi (Lanjutan)
Tahun Kode FD NPM CR DR Kep_Man Kep_Ins
2015 MAPI 0.00 0.00235 1.73109 0.68629 0.00000 0.56000
2016 MAPI 0.00 0.01473 1.58234 0.70014 0.00000 0.56000
2017 MAPI 0.00 0.02147 1.48937 0.62869 0.00000 0.51491
2018 MAPI 0.00 0.04302 1.34950 0.52012 0.00000 0.51000
2015 MPPA 0.00 0.01607 1.31798 0.58325 0.00000 0.76318
2016 MPPA 0.00 0.00284 1.23054 0.63745 0.00000 0.76318
2017 MPPA 1.00 -0.09898 0.64131 0.78365 0.00001 0.76318
2018 MPPA 1.00 -0.08401 0.85639 0.76100 0.00005 0.83120
2015 PTSP 1.00 -0.00385 1.00046 0.53381 0.00000 0.85419
2016 PTSP 0.00 0.00952 0.92863 0.53249 0.00000 0.86887
2017 PTSP 0.00 0.01910 0.89046 0.51830 0.10676 0.64107
2018 PTSP 0.00 0.03147 1.06827 0.46588 0.10676 0.64053
2015 RALS 0.00 0.06074 2.28118 0.27128 0.03664 0.55877
2016 RALS 0.00 0.06974 2.16157 0.28182 0.03664 0.61468
2017 RALS 0.00 0.07231 2.95001 0.28569 0.07927 0.61982
2018 RALS 0.00 0.10229 3.25451 0.26999 0.07927 0.61982
2015 RANC 0.00 -0.01055 1.33489 0.46236 0.04108 0.68519
2016 RANC 0.00 0.01916 1.59395 0.40225 0.04631 0.74191
2017 RANC 0.00 0.01721 1.59960 0.42713 0.04695 0.75042
2018 RANC 0.00 0.02121 1.56074 0.44243 0.05182 0.75042
2015 TELE 0.00 0.01682 5.06361 0.60506 0.00000 0.83168
2016 TELE 0.00 0.01717 5.98915 0.60984 0.00000 0.76347
2017 TELE 0.00 0.01498 3.87935 0.59503 0.00000 0.75002
2018 TELE 0.00 0.01514 5.18859 0.53369 0.00000 0.82621
2015 TRIO 1.00 -1.35765 0.07652 8.90763 0.00000 0.90975
2016 TRIO 1.00 -0.29401 0.05446 16.83442 0.00000 0.95887
2017 TRIO 1.00 -0.09363 0.25993 14.40866 0.00000 0.91690
2018 TRIO 1.00 -0.01022 0.15481 19.51133 0.00000 0.93103
Sumber: Data diolah oleh peneliti, 2019
114
Lampiran 14 – Data Analisis Statistik Deskriptif
Descriptive Statistics
N Minimum Maximum Mean Std. Deviation
FD 56 .00 1.00 .2321 .42602
PROF 56 -1.36 .97 .0277 .28326
LIKUI 56 .05 17.21 2.5899 3.40298
LEV 56 .01 19.97 2.3308 4.93880
KEP_MAN 56 .00 .30 .0220 .05644
KEP_INS 56 .17 .97 .6848 .19807
Valid N (listwise) 56
Sumber: SPSS 20, 2019
115
Lampiran 15 – Data Uji Multikolinearitas
Correlation Matrix
Constant PROF LIKUI LEV KEP_MAN KEP_INS
Step 1
Constant 1.000 -.216 .338 .528 -.715 -.994
PROF -.216 1.000 -.491 -.052 .313 .255
LIKUI .338 -.491 1.000 .422 -.640 -.408
LEV .528 -.052 .422 1.000 -.414 -.577
KEP_MAN -.715 .313 -.640 -.414 1.000 .728
KEP_INS -.994 .255 -.408 -.577 .728 1.000
Sumber: SPSS 20, 2019
116
Lampiran 16 – Data Uji Kelayakan Model
Hosmer and Lemeshow Test
Step Chi-square df Sig.
1 3.314 7 .854
Sumber: SPSS 20, 2019
117
Lampiran 17 – Data Uji Model Fit Step 0
Iteration Historya,b,c
Iteration -2 Log likelihood Coefficients
Constant
Step 0
1 60.846 -1.071
2 60.688 -1.192
3 60.687 -1.196
4 60.687 -1.196
a. Constant is included in the model.
b. Initial -2 Log Likelihood: 60.687
c. Estimation terminated at iteration number 4 because parameter estimates changed
by less than .001.
Sumber: SPSS 20, 2019
118
Lampiran 18 – Data Uji Model Fit Step 1
Iteration Historya,b,c,d
Iteration -2 Log
likelihood
Coefficients
Constant PROF LIKUI LEV KEP_MAN KEP_INS
Step 1
1 38.945 -3.304 -.537 -.096 .118 5.003 3.082
2 31.772 -6.611 -.626 -.222 .100 10.406 7.414
3 28.409 -10.842 -.513 -.349 .053 16.254 12.912
4 27.119 -15.154 -.224 -.467 .015 22.115 18.342
5 26.853 -18.062 -.018 -.552 -.007 26.100 21.967
6 26.841 -18.828 .039 -.578 -.013 27.195 22.920
7 26.841 -18.867 .042 -.580 -.013 27.256 22.970
8 26.841 -18.867 .042 -.580 -.013 27.256 22.970
a. Method: Enter
b. Constant is included in the model.
c. Initial -2 Log Likelihood: 60.687
d. Estimation terminated at iteration number 8 because parameter estimates changed by less than
.001.
Sumber: SPSS 20, 2019
119
Lampiran 19 – Data Koefisien Determinasi
Model Summary
Step -2 Log likelihood Cox & Snell R Square Nagelkerke R Square
1 26.841a .454 .686
a. Estimation terminated at iteration number 8 because parameter estimates
changed by less than .001.
Sumber: SPSS 20, 2019
120
Lampiran 20 – Data Klasifikasi Step 0
Classification Tablea,b
Observed
Predicted
FD Percentage Correct
.00 1.00
Step 0 FD
.00 43 0 100.0
1.00 13 0 .0
Overall Percentage 76.8
a. Constant is included in the model.
b. The cut value is .500
Sumber: SPSS 20, 2019
121
Lampiran 21 – Data Klasifikasi Step 1
Classification Tablea
Observed
Predicted
FD Percentage Correct
.00 1.00
Step 1 FD
.00 39 4 90.7
1.00 3 10 76.9
Overall Percentage 87.5
a. The cut value is .500
Sumber: SPSS 20, 2019
122
Lampiran 22 – Data Analisis Regresi Logistik
Variables in the Equation
B S.E. Wald df Sig. Exp(B) 95% C.I.for EXP(B)
Lower Upper
Step 1a
PROF .042 2.161 .000 1 .985 1.043 .015 72.017
LIKUI -.580 .442 1.718 1 .190 .560 .235 1.333
LEV -.013 .113 .013 1 .910 .987 .791 1.232
KEP_MAN 27.256 13.518 4.065 1 .044 68724208
1484.688 2.139
220756510
344783830
000000.00
0
KEP_INS 22.970 9.907 5.376 1 .020 94539342
62.189 34.919
255954798
437409480
0.000
Constant -18.867 7.938 5.649 1 .017 .000
a. Variable(s) entered on step 1: PROF, LIKUI, LEV, KEP_MAN, KEP_INS.
Sumber: SPSS 20, 2019
123
RIWAYAT HIDUP
Ananda Rizki Harriansyah, lahir di Sukabumi, 21 April
1995. Penulis adalah anak kedua dari empat bersaudara.
Merupakan anak dari pasangan Zainal Abidin dan Yayah
Sriariani. Pada saat ini penulis bertempat tinggal di
Kavling Kampung Mangga Blok A3 No. 19, RT. 008 RW.
02, Kelurahan Tugu Utara, Kecamatan Koja, Jakarta
Utara, DKI Jakarta, 14260.
Riwayat pendidikan yang telah ditempuh oleh penulis adalah SD Negeri
Mangkalaya 1 pada tahun 2001 sampai tahun 2007. Kemudian peneliti
melanjutkan SMP Terpadu Al-Ghifari dengan lulus tahun 2010. Selanjutnya
melanjutkan di SMA Negeri 13 Jakarta dengan lulus tahun 2013. Pada
pertengahan 2013 peneliti melanjutkan pendidikan pada program Diploma 3
Akuntansi Universitas Negeri Jakarta dengan menyelesaikan pendidikan pada
September 2016. Pada awal 2017 peneliti melanjutkan perkuliahan pada Alih
Program Jurusan Akuntansi, Fakultas Ekonomi, Universitas Negeri Jakarta. Pada
tahun 2016 peneliti bekerja di Kantor Akuntan Publik Thomas, Blasius,
Widartoyo dan Rekan sebagai Junior Auditor sekitar sembilan bulan. Pada bulan
Agustus 2017, peneliti bekerja pada Yayasan Baitulmaal Ummat Islam Bank
Negara Indonesia sebagai Accounting Staff sampai dengan sekarang.