uji validitas dan reliabilitas
TRANSCRIPT
ANALISIS UJI VALIDASI DAN
RELIABILITAS
INSTRUMEN KUESIONER
UJI VALIDITAS DAN RELIABILITAS
UJI VALIDITAS
Menurut Sugiharto dan Sitinjak (2006), validitas berhubungan dengan suatu peubah mengukur
apa yang seharusnya diukur. Validitas dalam penelitian menyatakan derajat ketepatan alat ukur
penelitian terhadap isi sebenarnya yang diukur. Uji validitas adalah uji yang digunakan untuk
menunjukkan sejauh mana alat ukur yang digunakan dalam suatu mengukur apa yang diukur. Ghozali
(2009) menyatakan bahwa uji validitas digunakan untuk mengukur sah, atau valid tidaknya suatu
kuesioner. Suatu kuesioner dikatakan valid jika pertanyaan pada kuesioner mampu untuk
mengungkapkan sesuatu yang akan diukur oleh kuesioner tersebut.
Suatu skala atau instrumen pengukur dapat dikatakan mempunyai validitas yang tinggi apabila
instrumen tersebut menjalankan fungsi ukurnya, atau memberikan hasil ukur yang sesuai dengan
maksud dilakukannya pengukuran tersebut. Sedangkan tes yang memiliki validitas rendah akan
menghasilkan data yang tidak relevan dengan tujuan pengukuran.
UJI RELIABILITAS
Sugiarto dan Situnjak (2006) menyatakan bahwa reliabilitas menunjuk pada suatu pengertian
bahwa instrumen yang digunakan dalam penelitian untuk memperoleh informasi yang digunakan dapat
dipercaya sebagai alat pengumpul data dan mampu mengungkap informasi yang sebenarnya di
lapangan. Ghozali (2009) menyatakan bahwa reliabilitas adalah alat untuk mengukur suatu kuesioner
yang merupakan indikator dari peubah atau konstruk. Suatu kuesioner dikatakan reliabel atau handal
jika jawaban seseorang terhadap pernyataan adalah konsisten atau stabil dari waktu ke waktu.
Reliabilitas suatu test merujuk pada derajat stabilitas, konsistensi, daya prediksi, dan akurasi. Ia
melihat seberapa skor-skor yang diperoleh seseorang itu akan menjadi sama jika orang itu diperiksa
ulang dengan tes yang sama pada kesempatan berbeda. Beberapa teknik yang sering digunakan untuk
menguji reliabilitas instrument adalah stabilitas pengukuran yang dapat diperoleh melalui test-retest,
dan parallel form reliabily, dan konsistensi ukuran yang diperoleh melalui reliabilitas belah dua (split-
half), koefisien alpha, dan lain sebagainya.
Salah satu cara melihat apakah suatu item atau instrumen reliabel atau tidak dapat dilihat dari
koefisien Cronbach. Angka Cronbach alpha pada kisaran 0.70 adalah dapat diterima, di atas 0.80 baik
(Sekaran, 2006). Sejalan dengan pendapat beberapa ahli seperti Nunnally (1978, p. 245 - 246) yaitu :
untuk Preliminary research direkomendasikan sebesar 0.70, untuk basic research 0.80 dan applied
research sebesar 0.90 - 0.95. Kaplan dan Saccuzo, (1982:106) merekomendasikan nilai cronbach alpha
sebesar 0.7 – 0.8 untuk basic research, dan 0.95 untuk applied research.
STUDI KASUS
Diperoleh data hasil survei menggunakan kuesioner terhadap 4 orang responden dengan item
pertanyaan sebanyak 207 buah.
Ringkasan tabulasi datanya :
Nama X1 X2 X3 X4 X5 X6 ....... X202 X203 X204 X205 X206 X207 Total
DT 4 4 4 4 4 4 ....... 3 3 3 3 3 4 662
EP 4 4 3 4 4 4 ....... 3 3 3 3 3 3 655
HK 4 4 3 4 4 4 ....... 2 2 3 3 2 3 644
SJ 3 3 3 3 3 3 ....... 3 3 3 3 3 3 672
Dengan hasil data diatas akan dilihat apakah item pertanyaan pada kuesioner valid atau tidak. Cara
analisisnya dengan menghitung koefisien korelasi antara masing-masing nilai pada nomor pertanyaan
dengan nilai total dari nomer pertanyaan dari setiap responden. Selanjutnya koefisien korelasi yang
diperoleh r masih harus diuji signifikansinya dengan menggunakan uji t atau membandingkannya
dengan r tabel. Bila t hitung > t tabel atau r hitung > r tabel, maka nomor pertanyaan tersebut valid.
Atau hasil output SPSS akan menandai signifikansi dari setiap item pertanyaan apakah valid atau tidak
bila nilai signifikansinya tidak lebih dari 0.05.
Uji validitas ini menggunakan Software SPSS 20.0 dengan langkah-langkah sebagai berikut :
1. Buat skor total masing-masing variable.
2. Klik Analyze > Correlate > Bivariate
3. Masukkan seluruh item variable x ke Variables
4. Masukkan total skor variable x ke Variables
5. Ceklis Pearson ; Two Tailed ; Flag 6. Klik OK
HASIL
Dari hasil output SPSS item yang valid hanya 2 buah dari 207 item, yakni item 179 (X179 ) dan item 200 (X200).
Nilai Sig.(2 tailed) X179 < 0.05 Valid
Nilai Sig.(2 tailed) X200 < 0.05 Valid
Hal ini mungkin dikarenakan jumlah responden yang diambil terlalu sedikit (rata-rata sumber menyebutkan minimal responden 20 atau lebih). Selain itu ada beberapa skor yang menghasilkan skor yang sama misalnya 4 semua. Hal ini dapat dilihat dari perhitungan manual menggunakan Excel.
Dengan rumus teknik korelasi product moment :
( )
√( ( ) )( ( ) )
Dari persamaan tersebut diperoleh hasil yang sama dengan output SPSS namun dapat dilihat item yang memiliki skor sama akan menunjukkan nilai r sebesar 0.
Selain itu, bila dilihat dari tabel Critical Values of the Pearson Correlation Coefficient r, semakin kecil n maka semakin tinggi alpha atau semakin tinggi nilai/batas penolakan untuk menyatakan suatu item pertanyaan valid (lebih besar dari alpha valid).
X179
Pearson Correlation
.970*
Sig. (2-tailed)
.030
N 4
X200
Pearson Correlation
.970*
Sig. (2-tailed)
.030
N 4
Sementara itu, Uji Reliabilitas dapat dilakukan dengan uji Alpha Cronbach. Rumus Alpha Cronbach sebagai berikut :
(
)(
)
Dimana :
: koefisien reliabilitas Alpa Cronbach
K : jumlah item pertanyaan yang diuji
: jumlah varian skor item
: varian skor-skor tes (seluruh item K)
Langkah pengujian reliabilitas dengan SPSS yaitu :
1. Klik Analyze > Scale > Reliability Analysis
2. Masukkan seluruh item Variabel X ke Items
3. Pastikan pada Model terpilih Alpha 4. Klik OK
Hasil uji reliabilitas menggunakan SPSS 20 yaitu :
Reliability Statistics
Cronbach's
Alpha
N of Items
.645 208
Nilai Cronbach Alpha sebesar 0.645 sehingga menurut teori diatas masih terlalu rendah untuk dikatakan item pertanyaan reliabel. Hal ini bisa juga disebabkan jumlah responden yang kecil.
Karena nilai Cronbach Alpha-nya kecil, kemungkinan satu atau beberapa item tidak reliable. Segera identifikasi dengan prosedur analisis per item. Item Analysis adalah kelanjutan dari tes Aplha
sebelumnya guna melihat item-item tertentu yang tidak reliabel. Lewat Item Analysis ini maka satu atau beberapa item yang tidak reliabel dapat dibuang sehingga Alpha dapat lebih tinggi lagi nilainya. Cara nya dengan melihat output SPSS pada Item Total Statistics :
Item-Total Statistics
Scale Mean if
Item Deleted
Scale Variance
if Item Deleted
Corrected Item-Total Correlation
Cronbach's Alpha if
Item Deleted
X1 1312.75 574.250 -.786 .657
X2 1312.75 574.250 -.786 .657
X3 1313.25 550.917 .192 .642
X4 1312.75 574.250 -.786 .657
X5 1312.75 574.250 -.786 .657
X6 1312.75 574.250 -.786 .657
X7 1312.50 555.667 0.000 .645
X8 1312.50 555.667 0.000 .645
X9 1312.50 555.667 0.000 .645
X10 1312.75 574.250 -.786 .657
X11 1312.50 555.667 0.000 .645
X12 1312.75 574.250 -.786 .657
X13 1313.50 555.667 0.000 .645
X14 1313.50 555.667 0.000 .645
X15 1313.50 555.667 0.000 .645
X16 1313.50 555.667 0.000 .645
X17 1313.00 579.333 -.864 .660
X18 1313.00 579.333 -.864 .660
X19 1313.50 555.667 0.000 .645
X20 1313.50 555.667 0.000 .645
X21 1313.25 537.583 .769 .633
X22 1313.75 514.917 .917 .618
X23 1313.75 514.917 .917 .618
X24 1313.75 514.917 .917 .618
X25 1312.50 555.667 0.000 .645
X26 1314.75 542.917 .150 .641
X27 1313.25 550.917 .192 .642
X28 1313.00 532.667 .851 .630
X29 1313.00 532.667 .851 .630
X30 1313.75 574.250 -.786 .657
X31 1314.00 593.333 -.794 .670
X32 1313.25 537.583 .769 .633
X33 1313.25 537.583 .769 .633
X34 1313.25 537.583 .769 .633
X35 1313.50 555.667 0.000 .645
X36 1313.25 537.583 .769 .633
X37 1313.25 537.583 .769 .633
X38 1314.25 574.250 -.425 .658
X39 1313.25 537.583 .769 .633
X40 1313.75 574.250 -.786 .657
X41 1313.00 532.667 .851 .630
X42 1312.75 560.917 -.232 .649
X43 1312.75 560.917 -.232 .649
X44 1312.75 560.917 -.232 .649
X45 1313.50 617.667 -.910 .684
X46 1313.50 617.667 -.910 .684
X47 1313.00 579.333 -.864 .660
X48 1313.50 617.667 -.910 .684
X49 1313.00 593.333 -.794 .670
X50 1313.75 588.917 -.570 .668
X51 1313.50 555.667 0.000 .645
X52 1312.50 555.667 0.000 .645
X53 1313.00 532.667 .851 .630
X54 1313.00 532.667 .851 .630
X55 1313.00 593.333 -.794 .670
X56 1312.50 555.667 0.000 .645
X57 1313.75 514.917 .917 .618
X58 1313.50 555.667 0.000 .645
X59 1313.25 560.250 -.204 .648
X60 1314.00 593.333 -.794 .670
X61 1313.75 574.250 -.786 .657
X62 1313.00 542.000 .496 .637
X63 1312.75 574.250 -.786 .657
X64 1312.50 555.667 0.000 .645
X65 1313.25 537.583 .769 .633
X66 1313.25 550.917 .192 .642
X67 1312.75 560.917 -.232 .649
X68 1313.25 537.583 .769 .633
X69 1313.00 579.333 -.864 .660
X70 1313.25 550.917 .192 .642
X71 1313.50 555.667 0.000 .645
X72 1313.25 550.917 .192 .642
X73 1313.25 514.250 .933 .618
X74 1313.25 550.917 .192 .642
X75 1313.25 537.583 .769 .633
X76 1313.25 537.583 .769 .633
X77 1313.50 555.667 0.000 .645
X78 1313.25 537.583 .769 .633
X79 1313.25 537.583 .769 .633
X80 1313.25 537.583 .769 .633
X81 1313.25 537.583 .769 .633
X82 1313.25 537.583 .769 .633
X83 1312.75 560.917 -.232 .649
X84 1313.00 532.667 .851 .630
X85 1313.25 537.583 .769 .633
X86 1312.75 560.917 -.232 .649
X87 1314.00 579.333 -.864 .660
X88 1313.75 574.250 -.786 .657
X89 1313.25 537.583 .769 .633
X90 1313.50 555.667 0.000 .645
X91 1313.75 536.917 .798 .633
X92 1313.00 532.667 .851 .630
X93 1313.00 532.667 .851 .630
X94 1313.50 569.667 -.376 .655
X95 1313.00 532.667 .851 .630
X96 1313.25 537.583 .769 .633
X97 1313.25 537.583 .769 .633
X98 1313.50 555.667 0.000 .645
X99 1313.50 555.667 0.000 .645
X100 1314.00 532.667 .851 .630
X101 1313.50 555.667 0.000 .645
X102 1313.50 555.667 0.000 .645
X103 1312.50 555.667 0.000 .645
X104 1313.50 555.667 0.000 .645
X105 1312.50 555.667 0.000 .645
X106 1312.75 560.917 -.232 .649
X107 1312.75 560.917 -.232 .649
X108 1313.50 555.667 0.000 .645
X109 1313.00 542.000 .496 .637
X110 1313.50 555.667 0.000 .645
X111 1314.00 593.333 -.794 .670
X112 1313.75 536.917 .798 .633
X113 1313.25 537.583 .769 .633
X114 1314.00 555.333 .000 .645
X115 1314.00 532.667 .851 .630
X116 1313.50 555.667 0.000 .645
X117 1313.25 550.917 .192 .642
X118 1313.25 537.583 .769 .633
X119 1313.50 555.667 0.000 .645
X120 1313.25 537.583 .769 .633
X121 1313.00 532.667 .851 .630
X122 1313.00 532.667 .851 .630
X123 1313.50 555.667 0.000 .645
X124 1313.50 555.667 0.000 .645
X125 1314.00 593.333 -.794 .670
X126 1313.50 555.667 0.000 .645
X127 1313.25 537.583 .769 .633
X128 1312.75 560.917 -.232 .649
X129 1313.25 537.583 .769 .633
X130 1313.50 555.667 0.000 .645
X131 1313.00 579.333 -.864 .660
X132 1313.75 574.250 -.786 .657
X133 1312.75 560.917 -.232 .649
X134 1312.50 555.667 0.000 .645
X135 1313.00 532.667 .851 .630
X136 1312.75 560.917 -.232 .649
X137 1312.75 560.917 -.232 .649
X138 1313.25 537.583 .769 .633
X139 1313.25 537.583 .769 .633
X140 1312.50 555.667 0.000 .645
X141 1313.25 537.583 .769 .633
X142 1313.75 574.250 -.786 .657
X143 1313.25 537.583 .769 .633
X144 1313.25 537.583 .769 .633
X145 1313.25 537.583 .769 .633
X146 1313.50 555.667 0.000 .645
X147 1313.50 555.667 0.000 .645
X148 1313.50 555.667 0.000 .645
X149 1313.50 555.667 0.000 .645
X150 1313.50 555.667 0.000 .645
X151 1313.50 555.667 0.000 .645
X152 1313.25 537.583 .769 .633
X153 1313.50 555.667 0.000 .645
X154 1313.50 555.667 0.000 .645
X155 1313.50 555.667 0.000 .645
X156 1313.25 537.583 .769 .633
X157 1314.00 579.333 -.864 .660
X158 1313.75 574.250 -.786 .657
X159 1313.00 579.333 -.864 .660
X160 1313.50 555.667 0.000 .645
X161 1313.50 555.667 0.000 .645
X162 1313.50 555.667 0.000 .645
X163 1313.50 555.667 0.000 .645
X164 1313.50 555.667 0.000 .645
X165 1313.25 537.583 .769 .633
X166 1313.50 555.667 0.000 .645
X167 1313.75 538.917 .356 .636
X168 1313.25 537.583 .769 .633
X169 1313.25 537.583 .769 .633
X170 1313.25 537.583 .769 .633
X171 1314.25 588.917 -.735 .667
X172 1313.00 542.000 .496 .637
X173 1313.25 537.583 .769 .633
X174 1313.25 537.583 .769 .633
X175 1313.75 574.250 -.786 .657
X176 1313.50 533.667 .566 .631
X177 1313.50 533.667 .566 .631
X178 1313.25 537.583 .769 .633
X179 1313.50 519.000 .968 .621
X180 1313.25 537.583 .769 .633
X181 1313.75 536.917 .798 .633
X182 1313.00 579.333 -.864 .660
X183 1313.50 555.667 0.000 .645
X184 1313.75 551.583 .163 .643
X185 1314.25 574.250 -.425 .658
X186 1313.75 574.250 -.786 .657
X187 1314.50 555.667 0.000 .645
X188 1314.50 555.667 0.000 .645
X189 1313.50 569.667 -.376 .655
X190 1313.50 555.667 0.000 .645
X191 1313.50 555.667 0.000 .645
X192 1313.50 555.667 0.000 .645
X193 1313.50 555.667 0.000 .645
X194 1313.50 555.667 0.000 .645
X195 1313.50 555.667 0.000 .645
X196 1313.50 555.667 0.000 .645
X197 1313.00 566.667 -.252 .654
X198 1313.25 537.583 .769 .633
X199 1313.25 537.583 .769 .633
X200 1313.50 519.000 .968 .621
X201 1313.50 555.667 0.000 .645
X202 1313.75 536.917 .798 .633
X203 1313.75 536.917 .798 .633
X204 1313.50 555.667 0.000 .645
X205 1313.50 555.667 0.000 .645
X206 1313.75 536.917 .798 .633
X207 1313.25 550.917 .192 .642
total 658.25 138.917 1.000 .570
Output tersebut dapat diinterpretasikan bahwa bila X1 dibuang maka nilai Cronbach Alpha keseluruhan data sebesar 0.657. Artinya kita dapat melihat nilai Cronbach Alpha terbesar yang dihasilkan dari suatu variabel apabila variabel tersebut dibuang. Dari output diatas nilai item X dengan Cronbach Alpha terbesar terjadi pada item X45, X46, dan X48. Apabila ketiga item ini dibuang maka akan meningkatkan nilai Cronbach Alpha sebesar 0.749.
Reliability Statistics
Cronbach's
Alpha
Cronbach's
Alpha Based on
Standardized
Items
N of Items
.749 .881 140
KESIMPULAN Dari uji yang dilakukan hanya dua item yang valid dan nilai reliabilitas nya rendah meskipun naik setelah beberapa item lain dibuang. Namun dari keseluruhan hasil diatas terdapat korelasi yang negatif antara hasil uji validitas dan reliabilitas. Awalnya saat uji validitas menunjukan nilainya yang rendah (banyak item yang tidak valid) maka nilai reliabilitasnya juga kecil, tetapi setelah uji Item Analysis dan beberapa item dibuang nilai Cronbach Alpha-nya meningkat bahkan diatas 0.7, nilai validitasnya tetap rendah. Mungkin masalah jumlah responden yang sedikit masih menjadi masalah utama dalam analisis ini. Maka perlu contoh data dengan jumlah responden lebih banyak dan dianalisis kembali.
LAMPIRAN
OUPUT SPSS
Correlations
total
X1
Pearson Correlation
-.778
Sig. (2-tailed)
.222
N 4
X2
Pearson Correlation
-.778
Sig. (2-tailed)
.222
N 4
X3
Pearson Correlation
.212
Sig. (2-tailed)
.788
N 4
X4
Pearson Correlation
-.778
Sig. (2-tailed)
.222
N 4
X5
Pearson Correlation
-.778
Sig. (2-tailed)
.222
N 4
X6
Pearson Correlation
-.778
Sig. (2-tailed)
.222
N 4
X7
Pearson Correlation
.b
Sig. (2-tailed)
N 4
X8
Pearson Correlation
.b
Sig. (2-tailed)
N 4
X9
Pearson Correlation
.b
Sig. (2-tailed)
N 4
X10
Pearson Correlation
-.778
Sig. (2-tailed)
.222
N 4
X11
Pearson Correlation
.b
Sig. (2-tailed)
N 4
X12
Pearson Correlation
-.778
Sig. (2-tailed)
.222
N 4
X13
Pearson Correlation
.b
Sig. (2-tailed)
N 4
X14
Pearson Correlation
.b
Sig. (2-tailed)
N 4
X15
Pearson Correlation
.b
Sig. (2-tailed)
N 4
X16
Pearson Correlation
.b
Sig. (2-tailed)
N 4
X17
Pearson Correlation
-.857
Sig. (2-tailed)
.143
N 4
X18
Pearson Correlation
-.857
Sig. (2-tailed)
.143
N 4
X19
Pearson Correlation
.b
Sig. (2-tailed)
N 4
X20
Pearson Correlation
.b
Sig. (2-tailed)
N 4
X21
Pearson Correlation
.778
Sig. (2-tailed)
.222
N 4
X22
Pearson Correlation
.923
Sig. (2-tailed)
.077
N 4
X23
Pearson Correlation
.923
Sig. (2-tailed)
.077
N 4
X24
Pearson Correlation
.923
Sig. (2-tailed)
.077
N 4
X25
Pearson Correlation
.b
Sig. (2-tailed)
N 4
X26
Pearson Correlation
.212
Sig. (2-tailed)
.788
N 4
X27
Pearson Correlation
.212
Sig. (2-tailed)
.788
N 4
X28
Pearson Correlation
.857
Sig. (2-tailed)
.143
N 4
X29
Pearson Correlation
.857
Sig. (2-tailed)
.143
N 4
X30
Pearson Correlation
-.778
Sig. (2-tailed)
.222
N 4
X31
Pearson Correlation
-.778
Sig. (2-tailed)
.222
N 4
X32
Pearson Correlation
.778
Sig. (2-tailed)
.222
N 4
X33
Pearson Correlation
.778
Sig. (2-tailed)
.222
N 4
X34
Pearson Correlation
.778
Sig. (2-tailed)
.222
N 4
X35
Pearson Correlation
.b
Sig. (2-tailed)
N 4
X36
Pearson Correlation
.778
Sig. (2-tailed)
.222
N 4
X37
Pearson Correlation
.778
Sig. (2-tailed)
.222
N 4
X38
Pearson Correlation
-.391
Sig. (2-tailed)
.609
N 4
X39
Pearson Correlation
.778
Sig. (2-tailed)
.222
N 4
X40
Pearson Correlation
-.778
Sig. (2-tailed)
.222
N 4
X41
Pearson Correlation
.857
Sig. (2-tailed)
.143
N 4
X42
Pearson Correlation
-.212
Sig. (2-tailed)
.788
N 4
X43
Pearson Correlation
-.212
Sig. (2-tailed)
.788
N 4
X44
Pearson Correlation
-.212
Sig. (2-tailed)
.788
N 4
X45
Pearson Correlation
-.900
Sig. (2-tailed)
.100
N 4
X46
Pearson Correlation
-.900
Sig. (2-tailed)
.100
N 4
X47
Pearson Correlation
-.857
Sig. (2-tailed)
.143
N 4
X48
Pearson Correlation
-.900
Sig. (2-tailed)
.100
N 4
X49
Pearson Correlation
-.778
Sig. (2-tailed)
.222
N 4
X50
Pearson Correlation
-.534
Sig. (2-tailed)
.466
N 4
X51
Pearson Correlation
.b
Sig. (2-tailed)
N 4
X52
Pearson Correlation
.b
Sig. (2-tailed)
N 4
X53
Pearson Correlation
.857
Sig. (2-tailed)
.143
N 4
X54
Pearson Correlation
.857
Sig. (2-tailed)
.143
N 4
X55
Pearson Correlation
-.778
Sig. (2-tailed)
.222
N 4
X56
Pearson Correlation
.b
Sig. (2-tailed)
N 4
X57
Pearson Correlation
.923
Sig. (2-tailed)
.077
N 4
X58
Pearson Correlation
.b
Sig. (2-tailed)
N 4
X59
Pearson Correlation
-.184
Sig. (2-tailed)
.816
N 4
X60
Pearson Correlation
-.778
Sig. (2-tailed)
.222
N 4
X61
Pearson Correlation
-.778
Sig. (2-tailed)
.222
N 4
X62
Pearson Correlation
.514
Sig. (2-tailed)
.486
N 4
X63
Pearson Correlation
-.778
Sig. (2-tailed)
.222
N 4
X64
Pearson Correlation
.b
Sig. (2-tailed)
N 4
X65
Pearson Correlation
.778
Sig. (2-tailed)
.222
N 4
X66
Pearson Correlation
.212
Sig. (2-tailed)
.788
N 4
X67
Pearson Correlation
-.212
Sig. (2-tailed)
.788
N 4
X68
Pearson Correlation
.778
Sig. (2-tailed)
.222
N 4
X69
Pearson Correlation
-.857
Sig. (2-tailed)
.143
N 4
X70
Pearson Correlation
.212
Sig. (2-tailed)
.788
N 4
X71
Pearson Correlation
.b
Sig. (2-tailed)
N 4
X72
Pearson Correlation
.212
Sig. (2-tailed)
.788
N 4
X73
Pearson Correlation
.938
Sig. (2-tailed)
.062
N 4
X74
Pearson Correlation
.212
Sig. (2-tailed)
.788
N 4
X75
Pearson Correlation
.778
Sig. (2-tailed)
.222
N 4
X76
Pearson Correlation
.778
Sig. (2-tailed)
.222
N 4
X77
Pearson Correlation
.b
Sig. (2-tailed)
N 4
X78
Pearson Correlation
.778
Sig. (2-tailed)
.222
N 4
X79
Pearson Correlation
.778
Sig. (2-tailed)
.222
N 4
X80
Pearson Correlation
.778
Sig. (2-tailed)
.222
N 4
X81
Pearson Correlation
.778
Sig. (2-tailed)
.222
N 4
X82
Pearson Correlation
.778
Sig. (2-tailed)
.222
N 4
X83
Pearson Correlation
-.212
Sig. (2-tailed)
.788
N 4
X84
Pearson Correlation
.857
Sig. (2-tailed)
.143
N 4
X85
Pearson Correlation
.778
Sig. (2-tailed)
.222
N 4
X86
Pearson Correlation
-.212
Sig. (2-tailed)
.788
N 4
X87
Pearson Correlation
-.857
Sig. (2-tailed)
.143
N 4
X88
Pearson Correlation
-.778
Sig. (2-tailed)
.222
N 4
X89
Pearson Correlation
.778
Sig. (2-tailed)
.222
N 4
X90
Pearson Correlation
.b
Sig. (2-tailed)
N 4
X91
Pearson Correlation
.806
Sig. (2-tailed)
.194
N 4
X92
Pearson Correlation
.857
Sig. (2-tailed)
.143
N 4
X93
Pearson Correlation
.857
Sig. (2-tailed)
.143
N 4
X94
Pearson Correlation
-.346
Sig. (2-tailed)
.654
N 4
X95
Pearson Correlation
.857
Sig. (2-tailed)
.143
N 4
X96
Pearson Correlation
.778
Sig. (2-tailed)
.222
N 4
X97
Pearson Correlation
.778
Sig. (2-tailed)
.222
N 4
X98
Pearson Correlation
.b
Sig. (2-tailed)
N 4
X99
Pearson Correlation
.b
Sig. (2-tailed)
N 4
X100
Pearson Correlation
.857
Sig. (2-tailed)
.143
N 4
X101
Pearson Correlation
.b
Sig. (2-tailed)
N 4
X102
Pearson Correlation
.b
Sig. (2-tailed)
N 4
X103
Pearson Correlation
.b
Sig. (2-tailed)
N 4
X104
Pearson Correlation
.b
Sig. (2-tailed)
N 4
X105
Pearson Correlation
.b
Sig. (2-tailed)
N 4
X106
Pearson Correlation
-.212
Sig. (2-tailed)
.788
N 4
X107
Pearson Correlation
-.212
Sig. (2-tailed)
.788
N 4
X108
Pearson Correlation
.b
Sig. (2-tailed)
N 4
X109
Pearson Correlation
.514
Sig. (2-tailed)
.486
N 4
X110
Pearson Correlation
.b
Sig. (2-tailed)
N 4
X111
Pearson Correlation
-.778
Sig. (2-tailed)
.222
N 4
X112
Pearson Correlation
.806
Sig. (2-tailed)
.194
N 4
X113
Pearson Correlation
.778
Sig. (2-tailed)
.222
N 4
X114
Pearson Correlation
.024
Sig. (2-tailed)
.976
N 4
X115
Pearson Correlation
.857
Sig. (2-tailed)
.143
N 4
X116
Pearson Correlation
.b
Sig. (2-tailed)
N 4
X117
Pearson Correlation
.212
Sig. (2-tailed)
.788
N 4
X118
Pearson Correlation
.778
Sig. (2-tailed)
.222
N 4
X119
Pearson Correlation
.b
Sig. (2-tailed)
N 4
X120
Pearson Correlation
.778
Sig. (2-tailed)
.222
N 4
X121
Pearson Correlation
.857
Sig. (2-tailed)
.143
N 4
X122
Pearson Correlation
.857
Sig. (2-tailed)
.143
N 4
X123
Pearson Correlation
.b
Sig. (2-tailed)
N 4
X124
Pearson Correlation
.b
Sig. (2-tailed)
N 4
X125
Pearson Correlation
-.778
Sig. (2-tailed)
.222
N 4
X126
Pearson Correlation
.b
Sig. (2-tailed)
N 4
X127
Pearson Correlation
.778
Sig. (2-tailed)
.222
N 4
X128
Pearson Correlation
-.212
Sig. (2-tailed)
.788
N 4
X129
Pearson Correlation
.778
Sig. (2-tailed)
.222
N 4
X130
Pearson Correlation
.b
Sig. (2-tailed)
N 4
X131
Pearson Correlation
-.857
Sig. (2-tailed)
.143
N 4
X132
Pearson Correlation
-.778
Sig. (2-tailed)
.222
N 4
X133
Pearson Correlation
-.212
Sig. (2-tailed)
.788
N 4
X134
Pearson Correlation
.b
Sig. (2-tailed)
N 4
X135
Pearson Correlation
.857
Sig. (2-tailed)
.143
N 4
X136
Pearson Correlation
-.212
Sig. (2-tailed)
.788
N 4
X137
Pearson Correlation
-.212
Sig. (2-tailed)
.788
N 4
X138
Pearson Correlation
.778
Sig. (2-tailed)
.222
N 4
X139
Pearson Correlation
.778
Sig. (2-tailed)
.222
N 4
X140
Pearson Correlation
.b
Sig. (2-tailed)
N 4
X141
Pearson Correlation
.778
Sig. (2-tailed)
.222
N 4
X142
Pearson Correlation
-.778
Sig. (2-tailed)
.222
N 4
X143
Pearson Correlation
.778
Sig. (2-tailed)
.222
N 4
X144
Pearson Correlation
.778
Sig. (2-tailed)
.222
N 4
X145
Pearson Correlation
.778
Sig. (2-tailed)
.222
N 4
X146
Pearson Correlation
.b
Sig. (2-tailed)
N 4
X147
Pearson Correlation
.b
Sig. (2-tailed)
N 4
X148
Pearson Correlation
.b
Sig. (2-tailed)
N 4
X149
Pearson Correlation
.b
Sig. (2-tailed)
N 4
X150
Pearson Correlation
.b
Sig. (2-tailed)
N 4
X151
Pearson Correlation
.b
Sig. (2-tailed)
N 4
X152
Pearson Correlation
.778
Sig. (2-tailed)
.222
N 4
X153
Pearson Correlation
.b
Sig. (2-tailed)
N 4
X154
Pearson Correlation
.b
Sig. (2-tailed)
N 4
X155
Pearson Correlation
.b
Sig. (2-tailed)
N 4
X156
Pearson Correlation
.778
Sig. (2-tailed)
.222
N 4
X157
Pearson Correlation
-.857
Sig. (2-tailed)
.143
N 4
X158
Pearson Correlation
-.778
Sig. (2-tailed)
.222
N 4
X159
Pearson Correlation
-.857
Sig. (2-tailed)
.143
N 4
X160
Pearson Correlation
.b
Sig. (2-tailed)
N 4
X161
Pearson Correlation
.b
Sig. (2-tailed)
N 4
X162
Pearson Correlation
.b
Sig. (2-tailed)
N 4
X163
Pearson Correlation
.b
Sig. (2-tailed)
N 4
X164
Pearson Correlation
.b
Sig. (2-tailed)
N 4
X165
Pearson Correlation
.778
Sig. (2-tailed)
.222
N 4
X166
Pearson Correlation
.b
Sig. (2-tailed)
N 4
X167
Pearson Correlation
.391
Sig. (2-tailed)
.609
N 4
X168
Pearson Correlation
.778
Sig. (2-tailed)
.222
N 4
X169
Pearson Correlation
.778
Sig. (2-tailed)
.222
N 4
X170
Pearson Correlation
.778
Sig. (2-tailed)
.222
N 4
X171
Pearson Correlation
-.716
Sig. (2-tailed)
.284
N 4
X172
Pearson Correlation
.514
Sig. (2-tailed)
.486
N 4
X173
Pearson Correlation
.778
Sig. (2-tailed)
.222
N 4
X174
Pearson Correlation
.778
Sig. (2-tailed)
.222
N 4
X175
Pearson Correlation
-.778
Sig. (2-tailed)
.222
N 4
X176
Pearson Correlation
.589
Sig. (2-tailed)
.411
N 4
X177
Pearson Correlation
.589
Sig. (2-tailed)
.411
N 4
X178
Pearson Correlation
.778
Sig. (2-tailed)
.222
N 4
X179 Pearson
Correlation .970
*
Sig. (2-tailed)
.030
N 4
X180
Pearson Correlation
.778
Sig. (2-tailed)
.222
N 4
X181
Pearson Correlation
.806
Sig. (2-tailed)
.194
N 4
X182
Pearson Correlation
-.857
Sig. (2-tailed)
.143
N 4
X183
Pearson Correlation
.b
Sig. (2-tailed)
N 4
X184
Pearson Correlation
.184
Sig. (2-tailed)
.816
N 4
X185
Pearson Correlation
-.391
Sig. (2-tailed)
.609
N 4
X186
Pearson Correlation
-.778
Sig. (2-tailed)
.222
N 4
X187
Pearson Correlation
.b
Sig. (2-tailed)
N 4
X188
Pearson Correlation
.b
Sig. (2-tailed)
N 4
X189
Pearson Correlation
-.346
Sig. (2-tailed)
.654
N 4
X190
Pearson Correlation
.b
Sig. (2-tailed)
N 4
X191
Pearson Correlation
.b
Sig. (2-tailed)
N 4
X192
Pearson Correlation
.b
Sig. (2-tailed)
N 4
X193
Pearson Correlation
.b
Sig. (2-tailed)
N 4
X194
Pearson Correlation
.b
Sig. (2-tailed)
N 4
X195
Pearson Correlation
.b
Sig. (2-tailed)
N 4
X196
Pearson Correlation
.b
Sig. (2-tailed)
N 4
X197
Pearson Correlation
-.212
Sig. (2-tailed)
.788
N 4
X198 Pearson
Correlation .778
Sig. (2-tailed)
.222
N 4
X199
Pearson Correlation
.778
Sig. (2-tailed)
.222
N 4
X200 Pearson
Correlation .970
*
Sig. (2-tailed)
.030
N 4
X201
Pearson Correlation
.b
Sig. (2-tailed)
N 4
X202
Pearson Correlation
.806
Sig. (2-tailed)
.194
N 4
X203
Pearson Correlation
.806
Sig. (2-tailed)
.194
N 4
X204
Pearson Correlation
.b
Sig. (2-tailed)
N 4
X205
Pearson Correlation
.b
Sig. (2-tailed)
N 4
X206
Pearson Correlation
.806
Sig. (2-tailed)
.194
N 4
X207
Pearson Correlation
.212
Sig. (2-tailed)
.788
N 4
total
Pearson Correlation
1
Sig. (2-tailed)
N 4
**. Correlation is significant at the 0.01 level (2-tailed).
*. Correlation is significant at the 0.05 level (2-tailed).
b. Cannot be computed because at least one of the variables is
constant.
HASIL EXCEL
ATRIBUT SIGMA X SIGMA
X^2 SIGMA
Y SIGMA
Y^2 SIGMA XY ATAS BAWAH AKAR
BAWAH R
X1 15 57 2633 1733589 9860 -55 5001 70.71774883 -0.7777397
X2 15 57 2633 1733589 9860 -55 5001 70.71774883 -0.7777397
X3 13 43 2633 1733589 8561 15 5001 70.71774883 0.21211082
X4 15 57 2633 1733589 9860 -55 5001 70.71774883 -0.7777397
X5 15 57 2633 1733589 9860 -55 5001 70.71774883 -0.7777397
X6 15 57 2633 1733589 9860 -55 5001 70.71774883 -0.7777397
X7 16 64 2633 1733589 10532 0 0 0 #DIV/0!
X8 16 64 2633 1733589 10532 0 0 0 #DIV/0!
X9 16 64 2633 1733589 10532 0 0 0 #DIV/0!
X10 15 57 2633 1733589 9860 -55 5001 70.71774883 -0.7777397
X11 16 64 2633 1733589 10532 0 0 0 #DIV/0!
X12 15 57 2633 1733589 9860 -55 5001 70.71774883 -0.7777397
X13 12 36 2633 1733589 7899 0 0 0 #DIV/0!
X14 12 36 2633 1733589 7899 0 0 0 #DIV/0!
X15 12 36 2633 1733589 7899 0 0 0 #DIV/0!
X16 12 36 2633 1733589 7899 0 0 0 #DIV/0!
X17 14 50 2633 1733589 9198 -70 6668 81.65782265 -0.8572357
X18 14 50 2633 1733589 9198 -70 6668 81.65782265 -0.8572357
X19 12 36 2633 1733589 7899 0 0 0 #DIV/0!
X20 12 36 2633 1733589 7899 0 0 0 #DIV/0!
X21 13 43 2633 1733589 8571 55 5001 70.71774883 0.77773969
X22 11 33 2633 1733589 7272 125 18337 135.4141795 0.92309388
X23 11 33 2633 1733589 7272 125 18337 135.4141795 0.92309388
X24 11 33 2633 1733589 7272 125 18337 135.4141795 0.92309388
X25 16 64 2633 1733589 10532 0 0 0 #DIV/0!
X26 7 19 2633 1733589 4619 45 45009 212.1532465 0.21211082
X27 13 43 2633 1733589 8561 15 5001 70.71774883 0.21211082
X28 14 50 2633 1733589 9233 70 6668 81.65782265 0.85723569
X29 14 50 2633 1733589 9233 70 6668 81.65782265 0.85723569
X30 11 31 2633 1733589 7227 -55 5001 70.71774883 -0.7777397
X31 10 28 2633 1733589 6555 -110 20004 141.4354977 -0.7777397
X32 13 43 2633 1733589 8571 55 5001 70.71774883 0.77773969
X33 13 43 2633 1733589 8571 55 5001 70.71774883 0.77773969
X34 13 43 2633 1733589 8571 55 5001 70.71774883 0.77773969
X35 12 36 2633 1733589 7899 0 0 0 #DIV/0!
X36 13 43 2633 1733589 8571 55 5001 70.71774883 0.77773969
X37 13 43 2633 1733589 8571 55 5001 70.71774883 0.77773969
X38 9 23 2633 1733589 5911 -53 18337 135.4141795 -0.3913918
X39 13 43 2633 1733589 8571 55 5001 70.71774883 0.77773969
X40 11 31 2633 1733589 7227 -55 5001 70.71774883 -0.7777397
X41 14 50 2633 1733589 9233 70 6668 81.65782265 0.85723569
X42 15 57 2633 1733589 9870 -15 5001 70.71774883 -0.2121108
X43 15 57 2633 1733589 9870 -15 5001 70.71774883 -0.2121108
X44 15 57 2633 1733589 9870 -15 5001 70.71774883 -0.2121108
X45 12 42 2633 1733589 7854 -180 40008 200.019999 -0.89991
X46 12 42 2633 1733589 7854 -180 40008 200.019999 -0.89991
X47 14 50 2633 1733589 9198 -70 6668 81.65782265 -0.8572357
X48 12 42 2633 1733589 7854 -180 40008 200.019999 -0.89991
X49 14 52 2633 1733589 9188 -110 20004 141.4354977 -0.7777397
X50 11 35 2633 1733589 7217 -95 31673 177.9690984 -0.5338005
X51 12 36 2633 1733589 7899 0 0 0 #DIV/0!
X52 16 64 2633 1733589 10532 0 0 0 #DIV/0!
X53 14 50 2633 1733589 9233 70 6668 81.65782265 0.85723569
X54 14 50 2633 1733589 9233 70 6668 81.65782265 0.85723569
X55 14 52 2633 1733589 9188 -110 20004 141.4354977 -0.7777397
X56 16 64 2633 1733589 10532 0 0 0 #DIV/0!
X57 11 33 2633 1733589 7272 125 18337 135.4141795 0.92309388
X58 12 36 2633 1733589 7899 0 0 0 #DIV/0!
X59 13 43 2633 1733589 8554 -13 5001 70.71774883 -0.1838294
X60 10 28 2633 1733589 6555 -110 20004 141.4354977 -0.7777397
X61 11 31 2633 1733589 7227 -55 5001 70.71774883 -0.7777397
X62 14 50 2633 1733589 9226 42 6668 81.65782265 0.51434141
X63 15 57 2633 1733589 9860 -55 5001 70.71774883 -0.7777397
X64 16 64 2633 1733589 10532 0 0 0 #DIV/0!
X65 13 43 2633 1733589 8571 55 5001 70.71774883 0.77773969
X66 13 43 2633 1733589 8561 15 5001 70.71774883 0.21211082
X67 15 57 2633 1733589 9870 -15 5001 70.71774883 -0.2121108
X68 13 43 2633 1733589 8571 55 5001 70.71774883 0.77773969
X69 14 50 2633 1733589 9198 -70 6668 81.65782265 -0.8572357
X70 13 43 2633 1733589 8561 15 5001 70.71774883 0.21211082
X71 12 36 2633 1733589 7899 0 0 0 #DIV/0!
X72 13 43 2633 1733589 8561 15 5001 70.71774883 0.21211082
X73 13 45 2633 1733589 8589 127 18337 135.4141795 0.93786338
X74 13 43 2633 1733589 8561 15 5001 70.71774883 0.21211082
X75 13 43 2633 1733589 8571 55 5001 70.71774883 0.77773969
X76 13 43 2633 1733589 8571 55 5001 70.71774883 0.77773969
X77 12 36 2633 1733589 7899 0 0 0 #DIV/0!
X78 13 43 2633 1733589 8571 55 5001 70.71774883 0.77773969
X79 13 43 2633 1733589 8571 55 5001 70.71774883 0.77773969
X80 13 43 2633 1733589 8571 55 5001 70.71774883 0.77773969
X81 13 43 2633 1733589 8571 55 5001 70.71774883 0.77773969
X82 13 43 2633 1733589 8571 55 5001 70.71774883 0.77773969
X83 15 57 2633 1733589 9870 -15 5001 70.71774883 -0.2121108
X84 14 50 2633 1733589 9233 70 6668 81.65782265 0.85723569
X85 13 43 2633 1733589 8571 55 5001 70.71774883 0.77773969
X86 15 57 2633 1733589 9870 -15 5001 70.71774883 -0.2121108
X87 10 26 2633 1733589 6565 -70 6668 81.65782265 -0.8572357
X88 11 31 2633 1733589 7227 -55 5001 70.71774883 -0.7777397
X89 13 43 2633 1733589 8571 55 5001 70.71774883 0.77773969
X90 12 36 2633 1733589 7899 0 0 0 #DIV/0!
X91 11 31 2633 1733589 7255 57 5001 70.71774883 0.80602113
X92 14 50 2633 1733589 9233 70 6668 81.65782265 0.85723569
X93 14 50 2633 1733589 9233 70 6668 81.65782265 0.85723569
X94 12 38 2633 1733589 7889 -40 13336 115.4816003 -0.3463755
X95 14 50 2633 1733589 9233 70 6668 81.65782265 0.85723569
X96 13 43 2633 1733589 8571 55 5001 70.71774883 0.77773969
X97 13 43 2633 1733589 8571 55 5001 70.71774883 0.77773969
X98 12 36 2633 1733589 7899 0 0 0 #DIV/0!
X99 12 36 2633 1733589 7899 0 0 0 #DIV/0!
X100 10 26 2633 1733589 6600 70 6668 81.65782265 0.85723569
X101 12 36 2633 1733589 7899 0 0 0 #DIV/0!
X102 12 36 2633 1733589 7899 0 0 0 #DIV/0!
X103 16 64 2633 1733589 10532 0 0 0 #DIV/0!
X104 12 36 2633 1733589 7899 0 0 0 #DIV/0!
X105 16 64 2633 1733589 10532 0 0 0 #DIV/0!
X106 15 57 2633 1733589 9870 -15 5001 70.71774883 -0.2121108
X107 15 57 2633 1733589 9870 -15 5001 70.71774883 -0.2121108
X108 12 36 2633 1733589 7899 0 0 0 #DIV/0!
X109 14 50 2633 1733589 9226 42 6668 81.65782265 0.51434141
X110 12 36 2633 1733589 7899 0 0 0 #DIV/0!
X111 10 28 2633 1733589 6555 -110 20004 141.4354977 -0.7777397
X112 11 31 2633 1733589 7255 57 5001 70.71774883 0.80602113
X113 13 43 2633 1733589 8571 55 5001 70.71774883 0.77773969
X114 10 26 2633 1733589 6583 2 6668 81.65782265 0.02449245
X115 10 26 2633 1733589 6600 70 6668 81.65782265 0.85723569
X116 12 36 2633 1733589 7899 0 0 0 #DIV/0!
X117 13 43 2633 1733589 8561 15 5001 70.71774883 0.21211082
X118 13 43 2633 1733589 8571 55 5001 70.71774883 0.77773969
X119 12 36 2633 1733589 7899 0 0 0 #DIV/0!
X120 13 43 2633 1733589 8571 55 5001 70.71774883 0.77773969
X121 14 50 2633 1733589 9233 70 6668 81.65782265 0.85723569
X122 14 50 2633 1733589 9233 70 6668 81.65782265 0.85723569
X123 12 36 2633 1733589 7899 0 0 0 #DIV/0!
X124 12 36 2633 1733589 7899 0 0 0 #DIV/0!
X125 10 28 2633 1733589 6555 -110 20004 141.4354977 -0.7777397
X126 12 36 2633 1733589 7899 0 0 0 #DIV/0!
X127 13 43 2633 1733589 8571 55 5001 70.71774883 0.77773969
X128 15 57 2633 1733589 9870 -15 5001 70.71774883 -0.2121108
X129 13 43 2633 1733589 8571 55 5001 70.71774883 0.77773969
X130 12 36 2633 1733589 7899 0 0 0 #DIV/0!
X131 14 50 2633 1733589 9198 -70 6668 81.65782265 -0.8572357
X132 11 31 2633 1733589 7227 -55 5001 70.71774883 -0.7777397
X133 15 57 2633 1733589 9870 -15 5001 70.71774883 -0.2121108
X134 16 64 2633 1733589 10532 0 0 0 #DIV/0!
X135 14 50 2633 1733589 9233 70 6668 81.65782265 0.85723569
X136 15 57 2633 1733589 9870 -15 5001 70.71774883 -0.2121108
X137 15 57 2633 1733589 9870 -15 5001 70.71774883 -0.2121108
X138 13 43 2633 1733589 8571 55 5001 70.71774883 0.77773969
X139 13 43 2633 1733589 8571 55 5001 70.71774883 0.77773969
X140 16 64 2633 1733589 10532 0 0 0 #DIV/0!
X141 13 43 2633 1733589 8571 55 5001 70.71774883 0.77773969
X142 11 31 2633 1733589 7227 -55 5001 70.71774883 -0.7777397
X143 13 43 2633 1733589 8571 55 5001 70.71774883 0.77773969
X144 13 43 2633 1733589 8571 55 5001 70.71774883 0.77773969
X145 13 43 2633 1733589 8571 55 5001 70.71774883 0.77773969
X146 12 36 2633 1733589 7899 0 0 0 #DIV/0!
X147 12 36 2633 1733589 7899 0 0 0 #DIV/0!
X148 12 36 2633 1733589 7899 0 0 0 #DIV/0!
X149 12 36 2633 1733589 7899 0 0 0 #DIV/0!
X150 12 36 2633 1733589 7899 0 0 0 #DIV/0!
X151 12 36 2633 1733589 7899 0 0 0 #DIV/0!
X152 13 43 2633 1733589 8571 55 5001 70.71774883 0.77773969
X153 12 36 2633 1733589 7899 0 0 0 #DIV/0!
X154 12 36 2633 1733589 7899 0 0 0 #DIV/0!
X155 12 36 2633 1733589 7899 0 0 0 #DIV/0!
X156 13 43 2633 1733589 8571 55 5001 70.71774883 0.77773969
X157 10 26 2633 1733589 6565 -70 6668 81.65782265 -0.8572357
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