L30
L31
L32
L33
Tabel F
(Hasil hitung menggunakan SPSS 2.0 dengan taraf signifikansi 0,05) df2 IDF.F df2 IDF.F 1 161.448 26 4.225 2 18.513 27 4.210 3 10.128 28 4.196 4 7.709 29 4.183 5 6.608 30 4.171 6 5.987 31 4.160 7 5.591 32 4.149 8 5.318 33 4.139 9 5.117 34 4.130 10 4.965 35 4.121 11 4.844 36 4.113 12 4.747 37 4.105 13 4.667 37 4.105 14 4.600 39 4.091 15 4.543 40 4.085 16 4.494 41 4.079 17 4.451 42 4.073 18 4.414 43 4.067 19 4.381 44 4.062 20 4.351 45 4.057 21 4.325 46 4.052 22 4.301 47 4.047 23 4.279 48 4.043 24 4.260 49 4.038 25 4.242 50 4.034 26 4.225 51 4.030 27 4.210 52 4.027 53 4.023
L34
Hasil Uji Korelasi dan Regresi SPSS 2.0 1. Correlations Correlations Naoftr MI MM TO FP Naoftr Pearson Correlation 1 .607** .304* .444** .255 Sig. (2-tailed) .000 .032 .001 .074 N 50 50 50 50 50 MI Pearson Correlation .607** 1 .111 .325* .339* Sig. (2-tailed) .000 .443 .021 .016 N 50 50 50 50 50 MM Pearson Correlation .304* .111 1 .541** .481** Sig. (2-tailed) .032 .443 .000 .000 N 50 50 50 50 50 TO Pearson Correlation .444** .325* .541** 1 .485** Sig. (2-tailed) .001 .021 .000 .000 N 50 50 50 50 50 FP Pearson Correlation .255 .339* .481** .485** 1 Sig. (2-tailed) .074 .016 .000 .000 N 50 50 50 50 50
**. Correlation is significant at the 0.01 level (2-tailed). *. Correlation is significant at the 0.05 level (2-tailed).
L35 REGRESSION
/MISSING LISTWISE
/STATISTICS COEFF OUTS R ANOVA /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT Tout /METHOD=ENTER Naoftr /RESIDUALS NORMPROB(ZRESID). 2. Regression
Nature of Training terhadap Training Outcome
Variables Entered/Removeda Model Variables Entered Variables Removed Method 1 Naoftrb . Enter a. Dependent Variable: TO b. All requested variables entered.
Model Summaryb
Model R R Square Adjusted R
Square
Std. Error of the Estimate
1 .444a .197 .180 .778
L36
b. Dependent Variable: TO
ANOVAa
Model Sum of Squares df Mean Square F Sig.
1
Regression 7.121 1 7.121 11.763 .001b
Residual 29.059 48 .605
Total 36.180 49
a. Dependent Variable: TO b. Predictors: (Constant), Naoftr
Coefficientsa
Model Unstandardized Coefficients Standardized
Coefficients t Sig. B Std. Error Beta 1 (Constant) 1.477 .577 2.560 .014 Naoftr .186 .054 .444 3.430 .001 a. Dependent Variable: TO Residuals Statisticsa
L37 Predicted Value 2.41 4.26 3.42 .381 50 Residual -1.963 1.408 .000 .770 50 Std. Predicted Value -2.660 2.212 .000 1.000 50 Std. Residual -2.523 1.810 .000 .990 50 a. Dependent Variable: TO Charts
L38 REGRESSION
/MISSING LISTWISE
/STATISTICS COEFF OUTS R ANOVA /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN
/DEPENDENT Tout /METHOD=ENTER MI
/RESIDUALS NORMPROB(ZRESID).
Management Involvement terhadap Training Outcome
Variables Entered/Removeda Model Variables Entered Variables Removed Method 1 MIb . Enter a. Dependent Variable: TO b. All requested variables entered.
Model Summaryb
Model R R Square Adjusted R
Square
Std. Error of the Estimate
L39
a. Predictors: (Constant), MI b. Dependent Variable: TO
ANOVAa
Model Sum of Squares df Mean Square F Sig.
1 Regression 3.822 1 3.822 5.670 .021b Residual 32.358 48 .674 Total 36.180 49 a. Dependent Variable: TO b. Predictors: (Constant), MI Coefficientsa
Model Unstandardized Coefficients Standardized
Coefficients t Sig. B Std. Error Beta 1 (Constant) 1.802 .689 2.615 .012 MI .143 .060 .325 2.381 .021 a. Dependent Variable: TO Residuals Statisticsa
Minimum Maximum Mean Std. Deviation N
L40 Residual -2.234 1.480 .000 .813 50 Std. Predicted Value -2.204 1.897 .000 1.000 50 Std. Residual -2.721 1.802 .000 .990 50 a. Dependent Variable: TO Charts REGRESSION
L41 /MISSING LISTWISE
/STATISTICS COEFF OUTS R ANOVA /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN
/DEPENDENT Tout /METHOD=ENTER MM
/RESIDUALS NORMPROB(ZRESID).
Management Motivation terhadap Training Outcome
Variables Entered/Removeda Model Variables Entered Variables Removed Method 1 MMb . Enter a. Dependent Variable: TO b. All requested variables entered.
Model Summaryb
Model R R Square Adjusted R
Square
Std. Error of the Estimate
1 .541a .292 .278 .730
L42
b. Dependent Variable: TO
ANOVAa
Model Sum of Squares df Mean Square F Sig.
1 Regression 10.579 1 10.579 19.834 .000b Residual 25.601 48 .533 Total 36.180 49 a. Dependent Variable: TO b. Predictors: (Constant), MM Coefficientsa
Model Unstandardized Coefficients Standardized
Coefficients t Sig. B Std. Error Beta 1 (Constant) 1.231 .502 2.452 .018 MM .182 .041 .541 4.454 .000 a. Dependent Variable: TO Residuals Statisticsa
Minimum Maximum Mean Std. Deviation N
Predicted Value 1.78 3.97 3.42 .465 50
L43 Std. Predicted Value -3.533 1.178 .000 1.000 50 Std. Residual -1.695 2.913 .000 .990 50 a. Dependent Variable: TO Charts REGRESSION
L44 /MISSING LISTWISE
/STATISTICS COEFF OUTS R ANOVA /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN
/DEPENDENT FP
/METHOD=ENTER Naoftr
/RESIDUALS NORMPROB(ZRESID).
Nature of Training terhadap Firm Performance
Variables Entered/Removeda Model Variables Entered Variables Removed Method 1 Naoftrb . Enter a. Dependent Variable: FP b. All requested variables entered.
Model Summaryb
Model R R Square Adjusted R
Square
Std. Error of the Estimate
1 .255a .065 .045 1.951
a. Predictors: (Constant), Naoftr b. Dependent Variable: FP
L45 ANOVAa
Model Sum of Squares df Mean Square F Sig.
1
Regression 12.670 1 12.670 3.328 .074b
Residual 182.710 48 3.806
Total 195.380 49
a. Dependent Variable: FP b. Predictors: (Constant), Naoftr
Coefficientsa
Model Unstandardized Coefficients Standardized
Coefficients t Sig. B Std. Error Beta 1 (Constant) 8.229 1.447 5.687 .000 Naoftr .248 .136 .255 1.824 .074 a. Dependent Variable: FP Residuals Statisticsa
Minimum Maximum Mean Std. Deviation N
Predicted Value 9.47 11.94 10.82 .508 50
Residual -5.211 4.542 .000 1.931 50
L46 Std. Residual -2.671 2.328 .000 .990 50 a. Dependent Variable: FP Charts REGRESSION /MISSING LISTWISE
L47 /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT FP /METHOD=ENTER MI /RESIDUALS NORMPROB(ZRESID).
Management Involvement terhadap Firm Performance
Variables Entered/Removeda Model Variables Entered Variables Removed Method 1 MIb . Enter a. Dependent Variable: FP b. All requested variables entered.
Model Summaryb
Model R R Square Adjusted R
Square Std. Error of the Estimate 1 .339a .115 .096 1.898 a. Predictors: (Constant), MI b. Dependent Variable: FP
L48 ANOVAa
Model Sum of Squares df Mean Square F Sig.
1 Regression 22.446 1 22.446 6.230 .016b Residual 172.934 48 3.603 Total 195.380 49 a. Dependent Variable: FP b. Predictors: (Constant), MI Coefficientsa
Model Unstandardized Coefficients Standardized
Coefficients t Sig. B Std. Error Beta 1 (Constant) 6.900 1.593 4.330 .000 MI .347 .139 .339 2.496 .016 a. Dependent Variable: FP Residuals Statisticsa
Minimum Maximum Mean Std. Deviation N
Predicted Value 9.33 12.10 10.82 .677 50
Residual -5.369 4.978 .000 1.879 50
Std. Predicted Value -2.204 1.897 .000 1.000 50
L49
a. Dependent Variable: FP
Charts
REGRESSION
/MISSING LISTWISE
/STATISTICS COEFF OUTS R ANOVA /CRITERIA=PIN(.05) POUT(.10)
L50 /NOORIGIN
/DEPENDENT FP /METHOD=ENTER MM
/RESIDUALS NORMPROB(ZRESID).
Management Motivation terhadap Firm Perfomance
Variables Entered/Removeda Model Variables Entered Variables Removed Method 1 MMb . Enter a. Dependent Variable: FP b. All requested variables entered.
Model Summaryb
Model R R Square Adjusted R
Square Std. Error of the Estimate 1 .481a .232 .216 1.768 a. Predictors: (Constant), MM b. Dependent Variable: FP ANOVAa
L51
Model Sum of Squares df Mean Square F Sig.
1 Regression 45.283 1 45.283 14.481 .000b Residual 150.097 48 3.127 Total 195.380 49 a. Dependent Variable: FP b. Predictors: (Constant), MM Coefficientsa
Model Unstandardized Coefficients Standardized
Coefficients t Sig. B Std. Error Beta 1 (Constant) 6.292 1.216 5.174 .000 MM .377 .099 .481 3.805 .000 a. Dependent Variable: FP Residuals Statisticsa
Minimum Maximum Mean Std. Deviation N
Predicted Value 7.42 11.95 10.82 .961 50
Residual -3.443 3.425 .000 1.750 50
Std. Predicted Value -3.533 1.178 .000 1.000 50
L52
a. Dependent Variable: FP
Charts
REGRESSION
/MISSING LISTWISE
/STATISTICS COEFF OUTS R ANOVA /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN
L53 /DEPENDENT MI
/METHOD=ENTER Naoftr
L54
PROFIL RESPONDEN
1. Divisi :
2. Umur : _________ tahun 3. Jabatan :
PETUNJUK PENGISIAN KUESIONER
Kuesioner di bawah ini memuat sejumlah pernyataan. Silahkan Anda memberikan tanda silang (X) pada kolom alternative jawaban. Pilih sesuai dengan keadaan yang sebenarnya.
Keterangan
1 = Sangat Tidak Setuju 2 = Tidak Setuju
3 = Normal 4 = Setuju
5 = Sangat Setuju
No Pertanyaan Penilaian
1 Materi Pelatihan (Sistematika program pembelajaran) sesuai dengan pekerjaan.
2 Kesesuaian waktu pembelajaran dengan materi. 3 Kenyamanan ruang kelas/lab.komputer/lab bahasa. 4 Manajemen memberikan informasi pelatihan dengan jelas.
5 Manajemen selalu membantu dalam menyiapkan media
pelatihan (CBT/Laptop/LCD/Screen,dll). 6 Instruktur selalu hadir tepat waktu.
7 Manajemen selalu memberikan motivasi pelatihan
(termasuk motivasi kerja) kepada peserta
8 Manajemen memberikan penghargaan/reward untuk peserta
pelatihan terbaik.
9 Manajemen memenuhi kebutuhan peserta pelatihan dengan
baik dan sesuai.
10 Dengan adanya pelatihan, pekerjaan yang diberikan dapat dengan mudah dikerjakan.
11 Pelatihan dapat memberikan manfaat untuk keberhasilan perusahaan.
L55
13 Pengeluaran biaya untuk pelatihan dapat meningkatkan kualitas perusahaan.
14 Sifat dan kreatifitas peserta pelatihan (karyawan) dapat membantu meningkatkan kinerja perusahaan.
Dokumentasi Penelitian di Garuda Indonesia Training Center (GITC)
GITC merupakan pusat pendidikan dan pelatihan bagi karyawan Garuda Indonesia, baik itu karyawan darat maupun karyawan udara (seperti pilot dan pramugari).
1. Ruang pelatihan pilot pada bagian Garuda Indonesia Training Centre
Terdapat kelas praktek, dapat dilihat ruang simulator terdapat tombol-tombol dan mesin penggerak pesawat. Disini tempat pilot belajar mengenai tombol kendali mesin pesawat.
L56
2. Ruang kelas pelatihan Garuda Indonesia Training Centre
Ruangan kelas untuk peserta pelatihan, pada ruangan ini peserta diberikan materi mengenai pelatihan dan tanggung jawab dalam profesi mereka.
L57
Ruangan latihan berenang untuk simulasi penyelamatan penumpang jika terjadi kecelakaan dilaut
Setiap pramugari harus bisa mengoperasikan jenis/tipe pintu pesawat yang berbeda-beda. Diatas kolam terdapat alat simulasi untuk membuka pintu pesawat dengan jenis/tipe pintu pesawat yang berbeda.
L58
Terdapat peserta pelatihan yang sedang melakukan pelatihan. Alat yang berwarna kuning akan terbuka jika pesawat dalam keadaan darurat (kecelakaan), untuk menurunkan penumpang dari ketinggian jika pesawat terjatuh.
3. Pengisian Kuesioner oleh Peserta Pelatihan
Proses pengisisan kuesioner oleh peserta pelatihan pada Garuda Indonesia Training Center (GITC).
L59
5. Pengambilan Surat Keterangan telah melakukan riset di Garuda Indonesia Training Center (GITC)
Foto bersama Bapak Azziz. Beliau yang membantu kami dalam melakukan riset di Garuda Indonesia Training Center (GITC).
L60
Hasil Uji Validitas dan Hasil Skor (Skala) Penelitian NATURE OF TRAINING (X1) 1 X2 2 X2 3 X2 4 X2 5 X2 Per 1 4 16 5 25 2 4 5 25 3 9 XY 40 65 10 55 30 Per 2 3 9 3 9 2 4 2 4 3 9 XY 30 39 10 22 30 Per 3 3 9 5 25 1 1 4 16 4 16 XY 30 65 5 44 40 ΣY 10 13 5 11 10 Y2 100 169 25 121 100 6 X2 7 X2 8 X2 9 X2 10 X2 5 25 2 4 5 25 3 9 3 9 60 14 70 27 27 4 16 2 4 5 25 3 9 3 9 48 14 70 27 27 3 9 3 9 4 16 3 9 3 9 36 21 56 27 27 12 7 14 9 9 144 49 196 81 81 11 X2 12 X2 13 X2 14 X2 15 X2 5 25 5 25 3 9 5 25 2 4 65 75 30 55 12 4 16 5 25 4 16 3 9 2 4 52 75 40 33 12 4 16 5 25 3 9 3 9 2 4 52 75 30 33 12 13 15 10 11 6 169 225 100 121 36
L61 16 X2 17 X2 18 X2 19 X2 20 X2 3 9 3 9 4 16 5 25 4 16 30 27 40 70 44 4 16 2 4 3 9 4 16 3 9 40 18 30 56 33 3 9 4 16 3 9 5 25 4 16 30 36 30 70 44 10 9 10 14 11 100 81 100 196 121 21 X2 22 X2 23 X2 24 X2 25 X2 3 9 3 9 3 9 4 16 4 16 33 27 30 48 44 4 16 3 9 3 9 4 16 4 16 44 27 30 48 44 4 16 3 9 4 16 4 16 3 9 44 27 40 48 33 11 9 10 12 11 121 81 100 144 121 26 X2 27 X2 28 X2 29 X2 30 X2 4 16 5 25 4 16 4 16 2 4 36 60 44 44 16 3 9 3 9 3 9 3 9 3 9 33 36 33 33 24 2 4 4 16 4 16 4 16 3 9 18 48 44 44 24 9 12 11 11 8 81 144 121 121 64 31 X2 32 X2 33 X2 34 X2 35 X2 3 9 3 9 2 4 4 16 4 16 27 27 18 40 48 3 9 3 9 3 9 3 9 4 16 27 27 27 30 48 3 9 3 9 4 16 3 9 4 16 27 27 36 30 48 9 9 9 10 12 81 81 81 100 144
L62 36 X2 37 X2 38 X2 39 X2 40 X2 3 9 5 25 3 9 3 9 4 16 30 65 27 36 36 3 9 4 16 3 9 5 25 3 9 30 52 27 60 27 4 16 4 16 3 9 4 16 2 4 40 52 27 48 18 10 13 9 12 9 100 169 81 144 81 41 X2 42 X2 43 X2 44 X2 45 X2 3 9 3 9 3 9 4 16 5 25 27 33 30 44 75 3 9 5 25 3 9 3 9 5 25 27 55 30 33 75 3 9 3 9 4 16 4 16 5 25 27 33 40 44 75 9 11 10 11 15 81 121 100 121 225 46 X2 47 X2 48 X2 49 X2 50 X2 4 16 4 16 3 9 3 9 3 9 44 52 33 30 30 3 9 5 25 4 16 3 9 3 9 33 65 44 30 30 4 16 4 16 4 16 4 16 4 16 44 52 44 40 40 11 13 11 10 10 526 121 169 121 100 100 5734
ΣX ΣX2 ΣXY rhitung thitung ttabel Validitas No. rtabel Reliabilitas
181 699 0.809942 9.567514 1.67722 Valid 1 0.281 Reliabel 1980 168 598 0.825118 10.11856 1.67722 Valid 2 0.281 Reliabel 1835 177 659 0.780949 8.662534 1.67722 Valid 3 0.281 Reliabel 1925 526 1956 2.416009 28.34861
L63 MANAGEMENT INVOLVEMENT (X2) 1 X2 2 X2 3 X2 4 X2 5 X2 Per 4 2 4 4 16 2 4 5 25 4 16 XY 22 44 18 75 44 Per 5 5 25 5 25 3 9 5 25 3 9 XY 55 55 27 75 33 Per 6 4 16 5 25 4 16 5 25 4 16 XY 44 55 36 75 44 ΣY 11 14 9 15 11 Y2 121 196 81 225 121 6 X2 7 X2 8 X2 9 X2 10 X2 3 9 4 16 5 25 4 16 3 9 36 48 75 48 30 5 25 3 9 5 25 4 16 3 9 60 36 75 48 30 4 16 5 25 5 25 4 16 4 16 48 60 75 48 40 12 12 15 12 10 144 144 225 144 100 11 X2 12 X2 13 X2 14 X2 15 X2 5 25 5 25 4 16 2 4 4 16 70 70 44 14 44 5 25 5 25 3 9 2 4 3 9 70 70 33 14 33 4 16 4 16 4 16 3 9 4 16 56 56 44 21 44 14 14 11 7 11 196 196 121 49 121
L64 16 X2 17 X2 18 X2 19 X2 20 X2 3 9 3 9 4 16 5 25 4 16 33 27 44 70 48 3 9 2 4 3 9 5 25 4 16 33 18 33 70 48 5 25 4 16 4 16 4 16 4 16 55 36 44 56 48 11 9 11 14 12 121 81 121 196 144 21 X2 22 X2 23 X2 24 X2 25 X2 3 9 3 9 4 16 3 9 3 9 36 27 52 44 33 3 9 3 9 4 16 4 16 4 16 36 27 52 44 44 4 16 3 9 5 25 4 16 4 16 40 27 65 44 44 10 9 13 11 11 100 81 169 121 121 26 X2 27 X2 28 X2 29 X2 30 X2 3 9 5 25 4 16 3 9 4 16 27 65 44 30 40 4 16 4 16 4 16 3 9 3 9 48 52 44 30 30 2 4 4 16 3 9 4 16 3 9 18 52 33 40 30 9 13 11 10 10 81 169 121 100 100 31 X2 32 X2 33 X2 34 X2 35 X2 4 16 4 16 4 16 4 16 4 16 48 44 48 44 52 3 9 3 9 4 16 3 9 4 16 36 33 48 33 52 5 25 4 16 4 16 4 16 5 25 60 44 48 44 65 12 11 12 11 13 144 121 144 121 169
L65 36 X2 37 X2 38 X2 39 X2 40 X2 4 16 4 16 3 9 5 25 3 9 52 48 27 75 24 5 25 3 9 3 9 5 25 2 4 65 36 27 75 16 4 16 5 25 3 9 5 25 3 9 52 60 27 75 24 13 12 9 15 8 169 144 81 225 64 41 X2 42 X2 43 X2 44 X2 45 X2 3 9 4 16 3 9 4 16 5 25 27 44 27 48 75 3 9 3 9 2 4 4 16 5 25 27 33 18 48 75 3 9 4 16 4 16 4 16 5 25 27 44 36 48 75 9 11 9 12 15 81 121 81 144 225 46 X2 47 X2 48 X2 49 X2 50 X2 4 16 4 16 3 9 3 9 3 9 44 48 27 27 30 3 9 4 16 3 9 2 4 3 9 33 48 27 18 30 4 16 4 16 3 9 4 16 4 16 44 48 27 36 40 11 12 9 9 10 565 121 144 81 81 100 6571
ΣX ΣX2 ΣXY rhitung thitung ttabel Validitas No. rtabel Reliabilitas
185 717 0.905541 14.78759 1.67722 Valid 4 0.281 Reliabel 2161 179 685 0.862600 11.81346 1.67722 Valid 5 0.281 Reliabel 2101 201 831 0.468947 3.678516 1.67722 Valid 6 0.281 Reliabel 2302 565 2233
L66 MANAGEMENT MOTIVATION (X3) 1 X2 2 X2 3 X2 4 X2 5 X2 Per 7 5 25 5 25 3 9 1 1 1 1 XY 75 75 30 7 10 Per 8 5 25 5 25 4 16 1 1 4 16 XY 75 75 40 7 40 Per 9 5 25 5 25 3 9 5 25 5 25 XY 75 75 30 35 50 ΣY 15 15 10 7 10 Y2 225 225 100 49 100 6 X2 7 X2 8 X2 9 X2 10 X2 5 25 4 16 5 25 5 25 4 16 75 56 75 65 48 5 25 5 25 5 25 3 9 4 16 75 70 75 39 48 5 25 5 25 5 25 5 25 4 16 75 70 75 65 48 15 14 15 13 12 225 196 225 169 144 11 X2 12 X2 13 X2 14 X2 15 X2 5 25 3 9 4 16 3 9 4 16 75 27 52 39 48 5 25 3 9 4 16 5 25 5 25 75 27 52 65 60 5 25 3 9 5 25 5 25 3 9 75 27 65 65 36 15 9 13 13 12 225 81 169 169 144
L67 16 X2 17 X2 18 X2 19 X2 20 X2 5 25 4 16 5 25 5 25 4 16 65 44 65 75 48 4 16 3 9 3 9 5 25 4 16 52 33 39 75 48 4 16 4 16 5 25 5 25 4 16 52 44 65 75 48 13 11 13 15 12 169 121 169 225 144 21 X2 22 X2 23 X2 24 X2 25 X2 4 16 3 9 3 9 4 16 3 9 52 27 36 48 36 4 16 3 9 4 16 4 16 4 16 52 27 48 48 48 5 25 3 9 5 25 4 16 5 25 65 27 60 48 60 13 9 12 12 12 169 81 144 144 144 26 X2 27 X2 28 X2 29 X2 30 X2 4 16 3 9 3 9 3 9 1 1 56 30 27 27 3 5 25 2 4 3 9 3 9 1 1 80 20 27 27 3 5 25 5 25 3 9 3 9 1 1 70 50 27 27 3 14 10 9 9 3 196 100 81 81 9 31 X2 32 X2 33 X2 34 X2 35 X2 3 9 3 9 4 16 3 9 3 9 30 33 48 30 36 4 16 4 16 4 16 4 16 4 16 40 44 48 40 48 3 9 4 16 4 16 3 9 5 25 30 44 48 30 60 10 11 12 10 12 100 121 144 100 144
L68 36 X2 37 X2 38 X2 39 X2 40 X2 3 9 5 25 4 16 3 9 4 16 30 75 52 27 48 4 16 5 25 4 16 3 9 4 16 40 75 52 27 48 3 9 5 25 5 25 3 9 4 16 30 75 65 27 48 10 15 13 9 12 100 225 169 81 144 41 X2 42 X2 43 X2 44 X2 45 X2 3 9 5 25 5 25 3 9 5 25 27 75 75 33 75 3 9 5 25 5 25 4 16 5 25 27 75 75 44 75 3 9 5 25 5 25 4 16 5 25 27 75 75 44 75 9 15 15 11 15 81 225 225 121 225 46 X2 47 X2 48 X2 49 X2 50 X2 5 25 5 25 4 16 3 9 3 9 75 75 52 33 27 5 25 5 25 4 16 4 16 3 9 75 75 52 44 27 5 25 5 25 5 25 4 16 3 9 75 75 65 44 27 15 15 13 11 9 597 225 225 169 121 81 7449
ΣX ΣX2 ΣXY rhitung thitung ttabel Validitas No. rtabel Reliabilitas
187 757 0.876863 12.63694 1.67722 Valid 7 0.281 Reliabel 2352 198 832 0.942651 19.56647 1.67722 Valid 8 0.281 Reliabel 2481 212 944 0.787275 8.8459 1.67722 Valid 9 0.281 Reliabel 2626 597 2533
L69
TRAINING OUTCOME (Y1)
1 X2 2 X2 3 X2 4 X2 5 X2 Per 11 3 9 3 9 3 9 3 9 4 16 XY 18 18 18 15 32 Per 10 3 9 3 9 3 9 2 4 4 16 XY 18 18 18 10 32 ΣY 6 6 6 5 8 Y2 36 36 36 25 64 6 X2 7 X2 8 X2 9 X2 10 X2 5 25 3 9 4 16 4 16 3 9 50 21 32 28 18 5 25 4 16 4 16 3 9 3 9 50 28 32 21 18 10 7 8 7 6 100 49 64 49 36 11 X2 12 X2 13 X2 14 X2 15 X2 5 25 5 25 4 16 3 9 3 9 50 50 28 18 21 5 25 5 25 3 9 3 9 4 16 50 50 21 18 28 10 10 7 6 7 100 100 49 36 49 16 X2 17 X2 18 X2 19 X2 20 X2 3 9 3 9 3 9 4 16 4 16 18 18 18 36 32 3 9 3 9 3 9 5 25 4 16 18 18 18 45 32 6 6 6 9 8 36 36 36 81 64
L70 21 X2 22 X2 23 X2 24 X2 25 X2 4 16 3 9 3 9 2 4 3 9 32 18 18 15 18 4 16 3 9 3 9 3 9 3 9 32 18 18 15 18 8 6 6 5 6 64 36 36 25 36 26 X2 27 X2 28 X2 29 X2 30 X2 5 25 4 16 3 9 3 9 1 1 45 36 21 18 2 4 16 5 25 4 16 3 9 1 1 36 45 28 18 2 9 9 7 6 2 81 81 49 36 4 31 X2 32 X2 33 X2 34 X2 35 X2 3 9 3 9 3 9 4 16 3 9 18 18 18 28 18 3 9 3 9 3 9 3 9 3 9 18 18 18 21 18 6 6 6 7 6 36 36 36 49 36 36 X2 37 X2 38 X2 39 X2 40 X2 4 16 4 16 3 9 3 9 3 9 32 32 18 15 18 4 16 4 16 3 9 2 4 3 9 32 32 18 10 18 8 8 6 5 6 64 64 36 25 36
L71 41 X2 42 X2 43 X2 44 X2 45 X2 3 9 5 25 2 4 3 9 5 25 18 45 10 18 50 3 9 4 16 3 9 3 9 5 25 18 36 15 18 50 6 9 5 6 10 36 81 25 36 100 46 X2 47 X2 48 X2 49 X2 50 X2 4 16 4 16 4 16 2 4 3 9 32 32 32 8 18 4 16 4 16 4 16 2 4 3 9 32 32 32 8 18 8 8 8 4 6 342 64 64 64 16 36 2470
ΣX ΣX2 ΣXY rhitung thitung ttabel Validitas No. rtabel Reliabilitas
171 621 1.02310576 #NUM! 1.67722 #NUM! 11 0.281 Reliabel
1240
171 621 0.95040069 21.1703296 1.67722 Valid 10 0.281 Reliabel
1235
L72
FIRM PERFORMANCE (Y2)
1 X2 2 X2 3 X2 4 X2 5 X2 Per 12 5 25 4 16 4 16 4 16 4 16 XY 60 44 44 44 48 Per 13 4 16 3 9 3 9 2 4 4 16 XY 48 33 33 22 48 Per 14 3 9 4 16 4 16 5 25 4 16 XY 36 44 44 55 48 ΣY 12 11 11 11 12 Y2 144 121 121 121 144 6 X2 7 X2 8 X2 9 X2 10 X2 4 16 5 25 4 16 4 16 4 16 44 55 44 40 48 4 16 3 9 3 9 3 9 4 16 44 33 33 30 48 3 9 3 9 4 16 3 9 4 16 33 33 44 30 48 11 11 11 10 12 121 121 121 100 144 11 X2 12 X2 13 X2 14 X2 15 X2 5 25 3 9 4 16 4 16 4 16 75 0 40 36 48 5 25 3 9 3 9 2 4 4 16 75 0 30 18 48 5 25 3 9 3 9 3 9 4 16 75 0 30 27 48 15 9 10 9 12 225 81 100 81 144
L73 16 X2 17 X2 18 X2 19 X2 20 X2 3 9 4 16 3 9 5 25 3 9 27 44 27 75 30 3 9 3 9 3 9 5 25 4 16 27 33 27 75 40 3 9 4 16 3 9 5 25 3 9 27 44 27 75 30 9 11 9 15 10 81 121 81 225 100 21 X2 22 X2 23 X2 24 X2 25 X2 3 9 4 16 3 9 3 9 4 16 30 40 30 24 44 4 16 3 9 4 16 3 9 4 16 40 30 40 24 44 3 9 3 9 3 9 2 4 3 9 30 30 30 16 33 10 10 10 8 11 100 100 100 64 121 26 X2 27 X2 28 X2 29 X2 30 X2 5 25 3 9 4 16 3 9 2 4 75 21 44 33 10 5 25 1 1 3 9 4 16 1 1 75 7 33 44 5 5 25 3 9 4 16 4 16 2 4 75 21 44 44 10 15 7 11 11 5 225 49 121 121 25 31 X2 32 X2 33 X2 34 X2 35 X2 3 9 4 16 4 16 4 16 5 25 27 44 48 44 60 3 9 4 16 4 16 4 16 4 16 27 44 48 44 48 3 9 3 9 4 16 3 9 3 9 27 33 48 33 36 9 11 12 11 12 81 121 144 121 144
L74 36 X2 37 X2 38 X2 39 X2 40 X2 5 25 4 16 4 16 5 25 3 9 65 52 44 60 27 4 16 4 16 3 9 5 25 3 9 52 52 33 60 27 4 16 5 25 4 16 2 4 3 9 52 65 44 24 27 13 13 11 12 9 169 169 121 144 81 41 X2 42 X2 43 X2 44 X2 45 X2 4 16 4 16 4 16 5 25 5 25 40 40 36 60 75 3 9 3 9 4 16 4 16 5 25 30 30 36 48 75 3 9 3 9 1 1 3 9 5 25 30 30 9 36 75 10 10 9 12 15 100 100 81 144 225 46 X2 47 X2 48 X2 49 X2 50 X2 4 16 4 16 5 25 3 9 4 16 48 48 60 21 40 4 16 4 16 3 9 2 4 3 9 48 48 36 14 30 4 16 4 16 4 16 2 4 3 9 48 48 48 14 30 12 12 12 7 10 541 144 144 144 49 100 6049
ΣX ΣX2 ΣXY rhitung thitung ttabel Validitas No. rtabel Reliabilitas
197 803 0.4346 3.343232 1.67722 Valid 12 0.281 Reliabel 2163 173 639 0.507953 4.085514 1.67722 Valid 13 0.281 Reliabel 1917 171 623 0.437425 3.370093 1.67722 Valid 14 0.281 Reliabel 1888 541 2065
L75
Uji Reliabilitas – Alpha Cronbach SPSS 2.0
Reliability
Scale: Alpha Cronbach X1
Case Processing Summary
N %
Cases
Valid 50 100.0
Excludeda 0 .0
Total 50 100.0
a. Listwise deletion based on all variables in the procedure.
Reliability Statistics Cronbach's Alpha N of Items .692 3 Reliability
L76
Case Processing Summary
N %
Cases
Valid 50 100.0
Excludeda 0 .0
Total 50 100.0
a. Listwise deletion based on all variables in the procedure.
Reliability Statistics Cronbach's Alpha N of Items .698 3 Reliability
Scale: Alpha Cronbach X3
Case Processing Summary
N %
Cases
Valid 50 100.0
L77
Total 50 100.0
a. Listwise deletion based on all variables in the procedure.
Reliability Statistics Cronbach's Alpha N of Items .825 3 Reliability
Scale: Alpha Cronbach Y1
Case Processing Summary
N %
Cases
Valid 50 100.0
Excludeda 0 .0
Total 50 100.0
a. Listwise deletion based on all variables in the procedure.
L78 Cronbach's Alpha N of Items .893 2 Reliability
Scale: Alpha Cronbach Y2
Case Processing Summary
N %
Cases
Valid 50 100.0
Excludeda 0 .0
Total 50 100.0
a. Listwise deletion based on all variables in the procedure.
Reliability Statistics
Cronbach's Alpha
N of Items