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Tentang kepekaan 15 macam spesies ikan air tawar terhadap 11
 macam kandungan bahan kimia sberarti memuat 11 variabel dari 15 obyek
                           pengamatan.
komponen Eigenvalue Prosentase Prosentase kumulatif

      1                2.9462                26.784                      26.7 84

      2                2.3893                21.721                      48.505

      3                1.8381                16.711                      65.216

      4                1.1038                10.035                      75.251

      5                1.0899                9.908                       85.159

      6                0.6876                6.251                       91.411

      7                0.6105                5.551                       96.961

      8                0.1631                1.483                       98.444

      9                0.0932                0.848                       99.292

     10                0.0433                0.394                       99.687

     11                0.0344                0.313                    100.000


Factor Analysis
                   Communalities


                                         Initial         Extraction
 Eigenvalue                                    1.000              .996
 Prosentase                                    1.000              .996
 prosentasekumulatif                           1.000              .983
Extraction Method: Principal Component Analysis.

                                               Total Variance Explained

 Componen                       Initial Eigenvalues                      Extraction Sums of Squared Loadings
 t
                   Total        % of Variance      Cumulative %       Total        % of Variance   Cumulative %
 1                   2.974             99.136            99.136         2.974             99.136         99.136
 2                    .026                .864          100.000
 3               8.28E-010       2.76E-008              100.000
Extraction Method: Principal Component Analysis.
Component Matrix(a)

                         Componen
                            t

                             1
 Eigenvalue                      .998
 Prosentase                      .998
 prosentasekumulatif           -.991
Extraction Method: Principal Component Analysis.
a 1 components extracted.

         Rotated Component Matrix(a)

a Only one component was extracted. The solution cannot be rotated.

KETERANGAN

Dari eigenvalue yang didapat akan dilihat banyaknya komponen yang
mempunyai eigenvalue labih besar dari satu untuk menjadi dasar dalam menentukan
banyaknya anggota common factor yang akan digunakan.

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tugas iroh

  • 1. Tentang kepekaan 15 macam spesies ikan air tawar terhadap 11 macam kandungan bahan kimia sberarti memuat 11 variabel dari 15 obyek pengamatan. komponen Eigenvalue Prosentase Prosentase kumulatif 1 2.9462 26.784 26.7 84 2 2.3893 21.721 48.505 3 1.8381 16.711 65.216 4 1.1038 10.035 75.251 5 1.0899 9.908 85.159 6 0.6876 6.251 91.411 7 0.6105 5.551 96.961 8 0.1631 1.483 98.444 9 0.0932 0.848 99.292 10 0.0433 0.394 99.687 11 0.0344 0.313 100.000 Factor Analysis Communalities Initial Extraction Eigenvalue 1.000 .996 Prosentase 1.000 .996 prosentasekumulatif 1.000 .983 Extraction Method: Principal Component Analysis. Total Variance Explained Componen Initial Eigenvalues Extraction Sums of Squared Loadings t Total % of Variance Cumulative % Total % of Variance Cumulative % 1 2.974 99.136 99.136 2.974 99.136 99.136 2 .026 .864 100.000 3 8.28E-010 2.76E-008 100.000 Extraction Method: Principal Component Analysis.
  • 2. Component Matrix(a) Componen t 1 Eigenvalue .998 Prosentase .998 prosentasekumulatif -.991 Extraction Method: Principal Component Analysis. a 1 components extracted. Rotated Component Matrix(a) a Only one component was extracted. The solution cannot be rotated. KETERANGAN Dari eigenvalue yang didapat akan dilihat banyaknya komponen yang mempunyai eigenvalue labih besar dari satu untuk menjadi dasar dalam menentukan banyaknya anggota common factor yang akan digunakan.