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BB = Bobot badan, PH = Panjang paha, PB = panjang betis, PC= panjang cakar,
LC = Lingkar cakar, PS = Panjang sayap, PJ3 = Panjang jari ke-3, PE = panjang ekor,
PT = Panjang tubuh total, TJ = Tinggi jengger, PA=panjang paruh atas dan
Pbw = Panjang paru bawah
Two-sample T for BB AHWJ vs BB AHNGAJ
SE N Mean StDev Mean BB AHWJ 15 980 131 34 BB AHNGAJ 13 909 153 42
Difference = mu (BB AHWJ) - mu (BB AHNGAJ) Estimate for difference: 70.7692
95% CI for difference: (-41.4209, 182.9594)
T-Test of difference = 0 (vs not =): T-Value = 1.30 P-Value = 0.205 DF = 23
Two-sample T for P.PH AHWJ vs P.PH AHNGAJ
N Mean StDev SE Mean P.PH AHWJ 15 83.31 3.41 0.88 P.PH AHNGAJ 13 82.68 3.43 0.95
Difference = mu (P.PH AHWJ) - mu (P.PH AHNGAJ) Estimate for difference: 0.622051
95% CI for difference: (-2.048372, 3.292475)
T-Test of difference = 0 (vs not =): T-Value = 0.48 P-Value = 0.636 DF = 25
Two-sample T for P B AHWJ vs P. B AHNGAJ
N Mean StDev SE Mean P B AHWJ 15 122.19 2.68 0.69 P. B AHNGAJ 13 119.08 2.87 0.80
Difference = mu (P B AHWJ) - mu (P. B AHNGAJ) Estimate for difference: 3.10974
95% CI for difference: (0.93118, 5.28831)
T-Test of difference = 0 (vs not =): T-Value = 2.95 P-Value = 0.007 DF = 24
Two-sample T for P.C AHWJ vs P.C AHNGAJ
N Mean StDev SE Mean P.C AHWJ 15 77.83 4.22 1.1 P.C AHNGAJ 13 75.61 3.29 0.91
Difference = mu (P.C AHWJ) - mu (P.C AHNGAJ) Estimate for difference: 2.21897
95% CI for difference: (-0.70994, 5.14789)
T-Test of difference = 0 (vs not =): T-Value = 1.56 P-Value = 0.131 DF = 25
Two-sample T for L.C AHWJ vs L.C AHNGAJ
N Mean StDev SE Mean L.C AHWJ 15 32.20 2.04 0.53 L.C AHNGAJ 13 31.31 1.32 0.36
Difference = mu (L.C AHWJ) - mu (L.C AHNGAJ) Estimate for difference: 0.892308
95% CI for difference: (-0.431215, 2.215831)
T-Test of difference = 0 (vs not =): T-Value = 1.39 P-Value = 0.177 DF = 24
Two-sample T for P.S AHWJ vs P.S AHNGAJ
N Mean StDev SE Mean P.S AHWJ 15 186.67 8.16 2.1 P.S AHNGAJ 13 193.08 4.80 1.3
Difference = mu (P.S AHWJ) - mu (P.S AHNGAJ) Estimate for difference: -6.41026
95% CI for difference: (-11.56930, -1.25121)
T-Test of difference = 0 (vs not =): T-Value = -2.57 P-Value = 0.017 DF = 23
Two-sample T for P J ke-3 AHWJ vs P. J ke 3 AHNGAJ
N Mean StDev SE Mean P J ke-3 AHWJ 15 46.17 3.48 0.90 P. J ke 3 AHNGAJ 13 44.28 3.79 1.1
Difference = mu (P J ke-3 AHWJ) - mu (P. J ke 3 AHNGAJ) Estimate for difference: 1.88974
95% CI for difference: (-0.96269, 4.74218)
T-Test of difference = 0 (vs not =): T-Value = 1.37 P-Value = 0.184 DF = 24
Two-sample T for P.E AHWJ vs P.E AHNGAJ
N Mean StDev SE Mean P.E AHWJ 15 390.3 54.5 14 P.E AHNGAJ 13 353.1 61.3 17
Difference = mu (P.E AHWJ) - mu (P.E AHNGAJ) Estimate for difference: 37.2564
95% CI for difference: (-8.2863, 82.7991)
T-Test of difference = 0 (vs not =): T-Value = 1.69 P-Value = 0.104 DF = 24
Two-sample T for P.T AHWJ vs P.T AHNGAJ
N Mean StDev SE Mean P.T AHWJ 15 754.3 67.2 17 P.T AHNGAJ 13 708.8 72.4 20
Difference = mu (P.T AHWJ) - mu (P.T AHNGAJ) Estimate for difference: 45.4872
95% CI for difference: (-9.2843, 100.2586)
T-Test of difference = 0 (vs not =): T-Value = 1.71 P-Value = 0.099 DF = 24
Two-sample T for T. J AHWJ vs T. J AHNGAJ
N Mean StDev SE Mean T. J AHWJ 15 43.1 10.2 2.6 T. J AHNGAJ 13 35.0 11.3 3.1
Difference = mu (T. J AHWJ) - mu (T. J AHNGAJ) Estimate for difference: 8.10667
95% CI for difference: (-0.33784, 16.55118)
T-Test of difference = 0 (vs not =): T-Value = 1.98 P-Value = 0.059 DF = 24
Two-sample T for P.Pa AHWJ vs P.Pa AHNGAJ
N Mean StDev SE Mean P.Pa AHWJ 15 18.57 1.29 0.33 P.Pa AHNGAJ 13 17.27 1.56 0.43
Difference = mu (P.Pa AHWJ) - mu (P.Pa AHNGAJ) Estimate for difference: 1.29744
95% CI for difference: (0.16541, 2.42946)
T-Test of difference = 0 (vs not =): T-Value = 2.37 P-Value = 0.027 DF = 23
Two-sample T for P.Pbw AHWJ vs P.Pbw AHNGAJ
N Mean StDev SE Mean P.Pbw AHWJ 15 11.77 1.36 0.35 P.Pbw AHNGAJ 13 11.000 0.577 0.16
Difference = mu (P.Pbw AHWJ) - mu (P.Pbw AHNGAJ) Estimate for difference: 0.773333
95% CI for difference: (-0.034378, 1.581044)
T-Test of difference = 0 (vs not =): T-Value = 2.00 P-Value = 0.060 DF = 19
Lampiran 2. Uji t ayam hutan merah betina Watutela VS Ngatabaru
AHWB = Ayam hutan Watutela betina
AHNGAB = Ayam hutan Ngatabaru betina
BB = Bobot badan, PH = Panjang paha, PB = panjang betis, PC= panjang cakar,
LC = Lingkar cakar, PS = Panjang sayap, PJ3 = Panjang jari ke-3, PE = panjang ekor,
PT = Panjang tubuh total, TJ = Tinggi jengger, PA=panjang paruh atas dan
Pbw = Panjang paru bawah
Two-sample T for BB AHWB vs BB AHNGAB
N Mean StDev SE Mean BB AHWB 15 592.3 25.5 6.6 BB AHNGAB 11 601.4 21.2 6.4 Difference = mu (BB AHWB) - mu (BB AHNGAB) Estimate for difference: -9.03030
95% CI for difference: (-28.01828, 9.95768)
T-Test of difference = 0 (vs not =): T-Value = -0.98 P-Value = 0.335 DF = 23
Two-sample T for P.PH AHWB vs P.PH AHNGAB
N Mean StDev SE Mean P.PH AHWB 15 66.02 7.64 2.0 P.PH AHNGAB 11 69.91 7.40 2.2
Difference = mu (P.PH AHWB) - mu (P.PH AHNGAB) Estimate for difference: -3.88909
95% CI for difference: (-10.06310, 2.28492)
T-Test of difference = 0 (vs not =): T-Value = -1.31 P-Value = 0.205 DF = 22
Two-sample T for P B AHWB vs P. B AHNGAB
N Mean StDev SE Mean P B AHWB 15 102.20 1.82 0.47 P. B AHNGAB 11 102.18 1.72 0.52 Difference = mu (P B AHWB) - mu (P. B AHNGAB) Estimate for difference: 0.018182
95% CI for difference: (-1.434083, 1.470447)
T-Test of difference = 0 (vs not =): T-Value = 0.03 P-Value = 0.980 DF = 22
Two-sample T for P.C AHWB vs P.C AHNGA
N Mean StDev SE Mean P.C AHWB 15 63.60 1.55 0.40 P.C AHNGA 11 63.64 2.06 0.62
Difference = mu (P.C AHWB) - mu (P.C AHNGA) Estimate for difference: -0.036364
95% CI for difference: (-1.596453, 1.523726)
T-Test of difference = 0 (vs not =): T-Value = -0.05 P-Value = 0.961 DF = 17
Two-sample T for L.C AHWB vs L.C AHNGAB
N Mean StDev SE Mean L.C AHWB 15 30.533 0.990 0.26 L.C AHNGAB 11 30.94 1.31 0.40 Difference = mu (L.C AHWB) - mu (L.C AHNGAB) Estimate for difference: -0.403030
95% CI for difference: (-1.397498, 0.591438)
T-Test of difference = 0 (vs not =): T-Value = -0.86 P-Value = 0.404 DF = 17
Two-sample T for P.S AHWB vs P.S AHNGAB
N Mean StDev SE Mean P.S AHWB 15 170.00 9.45 2.4 P.S AHNGAB 11 170.00 6.71 2.0
Difference = mu (P.S AHWB) - mu (P.S AHNGAB) Estimate for difference: 0.000000
95% CI for difference: (-6.555814, 6.555814)
T-Test of difference = 0 (vs not =): T-Value = 0.00 P-Value = 1.000 DF = 23
Two-sample T for P J ke-3 AHWB vs P. J ke 3 AHNGAB
N Mean StDev SE Mean P J ke-3 AHWB 15 39.97 1.54 0.40 P. J ke 3 AHNGAB 11 39.40 2.27 0.68
Difference = mu (P J ke-3 AHWB) - mu (P. J ke 3 AHNGAB) Estimate for difference: 0.573333
95% CI for difference: (-1.105459, 2.252126)
T-Test of difference = 0 (vs not =): T-Value = 0.72 P-Value = 0.480 DF = 16
Two-sample T for P.E AHWB vs P.E AHNGAB
N Mean StDev SE Mean P.E AHWB 15 166.37 6.64 1.7 P.E AHNGAB 11 167.18 5.67 1.7
Difference = mu (P.E AHWB) - mu (P.E AHNGAB) Estimate for difference: -0.815152
95% CI for difference: (-5.824197, 4.193894)
T-Test of difference = 0 (vs not =): T-Value = -0.34 P-Value = 0.739 DF = 23
Two-sample T for P.T AHWB vs P.T AHNGAB
N Mean StDev SE Mean P.T AHWB 15 466.00 8.70 2.2 P.T AHNGAB 11 465.9 12.4 3.7
Difference = mu (P.T AHWB) - mu (P.T AHNGAB) Estimate for difference: 0.090909
95% CI for difference: (-9.163123, 9.344941)
T-Test of difference = 0 (vs not =): T-Value = 0.02 P-Value = 0.984 DF = 16
Two-sample T for T. J AHWB vs T. J AHNGAB
N Mean StDev SE Mean T. J AHWB 15 2.600 0.507 0.13 T. J AHNGAB 11 2.455 0.522 0.16
Difference = mu (T. J AHWB) - mu (T. J AHNGAB) Estimate for difference: 0.145455
95% CI for difference: (-0.280416, 0.571325)
T-Test of difference = 0 (vs not =): T-Value = 0.71 P-Value = 0.485 DF = 21
Two-sample T for P.Pa AHWB vs P.Pa AHNGAB
N Mean StDev SE Mean P.Pa AHWB 15 16.773 0.219 0.056 P.Pa AHNGAB 11 16.764 0.304 0.092
Difference = mu (P.Pa AHWB) - mu (P.Pa AHNGAB) Estimate for difference: 0.009697
95% CI for difference: (-0.217542, 0.236936)
T-Test of difference = 0 (vs not =): T-Value = 0.09 P-Value = 0.929 DF = 17
Two-sample T for P.Pbw AHWB vs P.Pbw AHNGAB
N Mean StDev SE Mean P.Pbw AHWB 15 10.867 0.297 0.077 P.Pbw AHNGAB 11 10.764 0.329 0.099
Difference = mu (P.Pbw AHWB) - mu (P.Pbw AHNGAB) Estimate for difference: 0.103030
95% CI for difference: (-0.158679, 0.364740)
T-Test of difference = 0 (vs not =): T-Value = 0.82 P-Value = 0.421 DF = 20
Lampiran 3. Uji t Ayam kampung jantan Watutela VS Ngatabaru
AKJW = Ayam kampung jantan Watutela
AKJNGA = Ayam kampung jantan Ngatabaru
BB = Bobot badan, PH = Panjang paha, PB = panjang betis, PC= panjang cakar,
LC = Lingkar cakar, PS = Panjang sayap, PJ3 = Panjang jari ke-3, PE = panjang ekor,
PT = Panjang tubuh total, TJ = Tinggi jengger, PA=panjang paruh atas dan
Pbw = Panjang paru bawah
Two-sample T for BB AKJW vs BB AKJNGA
N Mean StDev SE Mean BB AKJW 30 1976 537 98 BB AKJNGA 29 1959 483 90
Difference = mu (BB AKJW) - mu (BB AKJNGA) Estimate for difference: 17,0460
95% CI for difference: (-249,2387; 283,3306)
T-Test of difference = 0 (vs not =): T-Value = 0,13 P-Value = 0,898 DF = 56
Two-sample T for PH AKJW vs PH AKJNGA
N Mean StDev SE Mean PH AKJW 30 108,62 6,51 1,2 PH AKJNGA 29 107,55 7,39 1,4Difference = mu (PH AKJW) - mu (PH AKJNGA) Estimate for difference: 1,06494
95% CI for difference: (-2,57215; 4,70203)
T-Test of difference = 0 (vs not =): T-Value = 0,59 P-Value = 0,560 DF = 55
Two-sample T for PB AKJW vs PB AKJNGA
N Mean StDev SE Mean PB AKJW 30 155,31 7,50 1,4 PB AKJNGA 29 153,41 9,95 1,8Difference = mu (PB AKJW) - mu (PB AKJNGA) Estimate for difference: 1,89621
95% CI for difference: (-2,71910; 6,51152)
T-Test of difference = 0 (vs not =): T-Value = 0,82 P-Value = 0,413 DF = 52
Two-sample T for PC AKJW vs PC AKJNGA
N Mean StDev SE Mean PC AKJW 30 100,91 7,23 1,3 PC AKJNGA 29 100,37 7,54 1,4Difference = mu (PC AKJW) - mu (PC AKJNGA) Estimate for difference: 0,534253
95% CI for difference: (-3,320055; 4,388561)
T-Test of difference = 0 (vs not =): T-Value = 0,28 P-Value = 0,782 DF = 56
Two-sample T for LC AKJW vs LC AKJNGA
N Mean StDev SE Mean LC AKJW 30 46,77 4,00 0,73 LC AKJNGA 29 46,72 4,47 0,83Difference = mu (LC AKJW) - mu (LC AKJNGA) Estimate for difference: 0,042529
95% CI for difference: (-2,172830; 2,257887)
T-Test of difference = 0 (vs not =): T-Value = 0,04 P-Value = 0,969 DF = 55
Two-sample T for PS AKJW vs PS AKJNGA
N Mean StDev SE Mean PS AKJW 30 231,0 18,4 3,4 PS AKJNGA 29 227,6 15,3 2,8
Difference = mu (PS AKJW) - mu (PS AKJNGA) Estimate for difference: 3,44828
95% CI for difference: (-5,36733; 12,26388)
T-Test of difference = 0 (vs not =): T-Value = 0,78 P-Value = 0,436 DF = 55
Two-sample T for PJ3 AKJW vs PJ3 AKJNGA
N Mean StDev SE Mean PJ3 AKJW 30 58,33 5,06 0,92 PJ3 AKJNGA 29 57,83 4,58 0,85Difference = mu (PJ3 AKJW) - mu (PJ3 AKJNGA) Estimate for difference: 0,502414
95% CI for difference: (-2,014383; 3,019211)
T-Test of difference = 0 (vs not =): T-Value = 0,40 P-Value = 0,691 DF = 56
Two-sample T for PE AKJW vs PE AKJNGA
SEN Mean StDev Mean PE AKJW 30 293,6 78,1 14 PE AKJNGA 29 286,4 81,2 15
Difference = mu (PE AKJW) - mu (PE AKJNGA) Estimate for difference: 7,25402
95% CI for difference: (-34,31208; 48,82012)
T-Test of difference = 0 (vs not =): T-Value = 0,35 P-Value = 0,728 DF = 56
Two-sample T for PT AKJW vs PT AKJNGA
N Mean StDev SE Mean PT AKJW 30 726,1 88,2 16 PT AKJNGA 29 713,1 92,8 17
Difference = mu (PT AKJW) - mu (PT AKJNGA) Estimate for difference: 12,9966
95% CI for difference: (-34,2529; 60,2460)
T-Test of difference = 0 (vs not =): T-Value = 0,55 P-Value = 0,584 DF = 56
Two-sample T for TJ AKJW vs TJ AKJNGA
N Mean StDev SE Mean TJ AKJW 30 17,6 10,2 1,9 TJ AKJNGA 29 17,56 9,20 1,7Difference = mu (TJ AKJW) - mu (TJ AKJNGA) Estimate for difference: 0,068161
95% CI for difference: (-5,001131; 5,137453)
T-Test of difference = 0 (vs not =): T-Value = 0,03 P-Value = 0,979 DF = 56
Two-sample T for PA AKJW vs PA AKJNGA
N Mean StDev SE Mean PA AKJW 30 20,65 2,41 0,44 PA AKJNGA 29 20,69 2,20 0,41Difference = mu (PA AKJW) - mu (PA AKJNGA) Estimate for difference: -0,039655
95% CI for difference: (-1,241541; 1,162231)
T-Test of difference = 0 (vs not =): T-Value = -0,07 P-Value = 0,948 DF = 56
Two-sample T for PBW AKJW vs PBW AKJNGA
N Mean StDev SE MeanPBW AKJW 30 12,37 1,11 0,20 PBW AKJNGA 29 12,38 1,06 0,20
Difference = mu (PBW AKJW) - mu (PBW AKJNGA) Estimate for difference: -0,002529
95% CI for difference: (-0,567237; 0,562180)
T-Test of difference = 0 (vs not =): T-Value = -0,01 P-Value = 0,993 DF = 56
Lampiran 4. Uji t Ayam kampung betina Watutela VS Ngata Baru
AKBW = Ayam hutan Watutela jantan
AKBNGA = Ayam hutan Ngatabaru jantan
BB = Bobot badan, PH = Panjang paha, PB = panjang betis, PC= panjang cakar,
LC = Lingkar cakar, PS = Panjang sayap, PJ3 = Panjang jari ke-3, PE = panjang ekor,
PT = Panjang tubuh total, TJ = Tinggi jengger, PA=panjang paruh atas dan
Pbw = Panjang paru bawah
Two-sample T for BB AKBW vs BB AKBNGA
N Mean StDev SE Mean BB AKBW 30 1442 222 41 BB AKBNGA 30 1359 271 49
Difference = mu (BB AKBW) - mu (BB AKBNGA) Estimate for difference: 82.3333
95% CI for difference: (-45.7786, 210.4453)
T-Test of difference = 0 (vs not =): T-Value = 1.29 P-Value = 0.203 DF = 55
Two-sample T for PH AKBW vs PH AKBNGA
N Mean StDev SE Mean PH AKBW 30 89.21 6.14 1.1 PH AKBNGA 30 87.29 6.36 1.2 Difference = mu (PH AKBW) - mu (PH AKBNGA) Estimate for difference: 1.91667
95% CI for difference: (-1.31507, 5.14840)
T-Test of difference = 0 (vs not =): T-Value = 1.19 P-Value = 0.240 DF = 57
Two-sample T for PB AKBW vs PB AKBNGA
N Mean StDev SE Mean PB AKBW 30 128.35 5.76 1.1 PB AKBNGA 30 125.16 8.64 1.6 Difference = mu (PB AKBW) - mu (PB AKBNGA) Estimate for difference: 3.18333
95% CI for difference: (-0.62689, 6.99355)
T-Test of difference = 0 (vs not =): T-Value = 1.68 P-Value = 0.100 DF = 50
Two-sample T for PC AKBW vs PC AKBNGA
N Mean StDev SE Mean PC AKBW 30 79.68 5.84 1.1 PC AKBNGA 30 77.57 7.32 1.3 Difference = mu (PC AKBW) - mu (PC AKBNGA) Estimate for difference: 2.11000
95% CI for difference: (-1.31781, 5.53781)
T-Test of difference = 0 (vs not =): T-Value = 1.23 P-Value = 0.223 DF = 55
Two-sample T for LC AKBW vs LC AKBNGA
N Mean StDev SE Mean LC AKBW 30 40.73 3.38 0.62 LC AKBNGA 30 39.97 3.63 0.66
Difference = mu (LC AKBW) - mu (LC AKBNGA) Estimate for difference: 0.766667
95% CI for difference: (-1.048464, 2.581797)
T-Test of difference = 0 (vs not =): T-Value = 0.85 P-Value = 0.401 DF = 57
Two-sample T for PS AKBW vs PS AKBNGA
N Mean StDev SE Mean PS AKBW 30 193.3 13.7 2.5 PS AKBNGA 30 195.8 12.6 2.3
Difference = mu (PS AKBW) - mu (PS AKBNGA) Estimate for difference: -2.50000
95% CI for difference: (-9.31300, 4.31300)
T-Test of difference = 0 (vs not =): T-Value = -0.73 P-Value = 0.465 DF = 57
Two-sample T for PJ3 AKBW vs PJ3 AKBNGA
N Mean StDev SE Mean PJ3 AKBW 30 51.05 5.08 0.93 PJ3 AKBNGA 30 49.23 4.04 0.74
Difference = mu (PJ3 AKBW) - mu (PJ3 AKBNGA) Estimate for difference: 1.82667
95% CI for difference: (-0.54867, 4.20200)
T-Test of difference = 0 (vs not =): T-Value = 1.54 P-Value = 0.129 DF = 55
Two-sample T for PE AKBW vs PE AKBNGA
N Mean StDev SE Mean PE AKBW 30 166.3 16.2 3.0 PE AKBNGA 30 158.5 13.1 2.4
Difference = mu (PE AKBW) - mu (PE AKBNGA) Estimate for difference: 7.83333
95% CI for difference: (0.22058, 15.44609)
T-Test of difference = 0 (vs not =): T-Value = 2.06 P-Value = 0.044 DF = 55
Two-sample T for PT AKBW vs PT AKBNGA
N Mean StDev SE Mean PT AKBW 30 545.3 27.1 4.9 PT AKBNGA 30 529.5 31.3 5.7
Difference = mu (PT AKBW) - mu (PT AKBNGA) Estimate for difference: 15.8333
95% CI for difference: (0.6955, 30.9712)
T-Test of difference = 0 (vs not =): T-Value = 2.10 P-Value = 0.041 DF = 56
Two-sample T for TJ AKBW vs TJ AKBNGA
N Mean StDev SE Mean TJ AKBW 30 9.83 6.58 1.2 TJ AKBNGA 30 8.63 6.21 1.1
Difference = mu (TJ AKBW) - mu (TJ AKBNGA) Estimate for difference: 1.20667
95% CI for difference: (-2.10233, 4.51566)
T-Test of difference = 0 (vs not =): T-Value = 0.73 P-Value = 0.468 DF = 57
Two-sample T for PA AKBW vs PA AKBNGA
N Mean StDev SE Mean PA AKBW 30 18.75 1.42 0.26 PA AKBNGA 30 18.47 1.48 0.27
Difference = mu (PA AKBW) - mu (PA AKBNGA) Estimate for difference: 0.280000
95% CI for difference: (-0.470426, 1.030426)
T-Test of difference = 0 (vs not =): T-Value = 0.75 P-Value = 0.458 DF = 57
Two-sample T for PBW AKBW vs PBW AKBNGA
N Mean StDev SE Mean PBW AKBW 30 11.777 0.971 0.18 PBW AKBNGA 30 11.473 0.714 0.13
Difference = mu (PBW AKBW) - mu (PBW AKBNGA) Estimate for difference: 0.303333
95% CI for difference: (-0.137953, 0.744620)
T-Test of difference = 0 (vs not =): T-Value = 1.38 P-Value = 0.174 DF = 53
Lampiran 5.Uji t ayam kapung jantan VS ayam hutan jantan Watutela
AKJW = Ayam kampunghutan jantan Watutela
AHWJ = Ayam hutan jantan Watutela
BB = Bobot badan, PH = Panjang paha, PB = panjang betis, PC= panjang cakar,
LC = Lingkar cakar, PS = Panjang sayap, PJ3 = Panjang jari ke-3, PE = panjang ekor,
PT = Panjang tubuh total, TJ = Tinggi jengger, PA=panjang paruh atas dan
Pbw = Panjang paru bawah
Two-sample T for BB AKJW vs BB AHWJ
N Mean StDev SE Mean BB AKJW 30 1976 537 98 BB AHWJ 15 980 131 34
Difference = mu (BB AKJW) - mu (BB AHWJ) Estimate for difference: 995,667
95% CI for difference: (785,045; 1206,288)
T-Test of difference = 0 (vs not =): T-Value = 9,60 P-Value = 0,000 DF = 35
Two-sample T for PH AKJW vs P.PH AHWJ
N Mean StDev SE Mean PH AKJW 30 108,62 6,51 1,2 P.PH AHWJ 15 83,31 3,41 0,88
Difference = mu (PH AKJW) - mu (P.PH AHWJ) Estimate for difference: 25,3100
95% CI for difference: (22,3255; 28,2945)
T-Test of difference = 0 (vs not =): T-Value = 17,11 P-Value = 0,000 DF = 42
Two-sample T for PB AKJW vs P B AHWJ
N Mean StDev SE Mean PB AKJW 30 155,31 7,50 1,4 P B AHWJ 15 122,19 2,68 0,69
Difference = mu (PB AKJW) - mu (P B AHWJ) Estimate for difference: 33,1233
95% CI for difference: (30,0203; 36,2264)
T-Test of difference = 0 (vs not =): T-Value = 21,57 P-Value = 0,000 DF = 40
Two-sample T for PC AKJW vs P.C AHWJ
N Mean StDev SE Mean PC AKJW 30 100,91 7,23 1,3 P.C AHWJ 15 77,83 4,22 1,1 Difference = mu (PC AKJW) - mu (P.C AHWJ) Estimate for difference: 23,0800
95% CI for difference: (19,6228; 26,5372)
T-Test of difference = 0 (vs not =): T-Value = 13,48 P-Value = 0,000 DF = 41
Two-sample T for LC AKJW vs L.C AHWJ N Mean StDev SE Mean LC AKJW 30 46,77 4,00 0,73 L.C AHWJ 15 32,20 2,04 0,53
Difference = mu (LC AKJW) - mu (L.C AHWJ) Estimate for difference: 14,5667
95% CI for difference: (12,7496; 16,3837)
T-Test of difference = 0 (vs not =): T-Value = 16,18 P-Value = 0,000 DF = 42
Two-sample T for PS AKJW vs P.S AHWJ
N Mean StDev SE Mean PS AKJW 30 231,0 18,4 3,4 P.S AHWJ 15 186,67 8,16 2,1
Difference = mu (PS AKJW) - mu (P.S AHWJ) Estimate for difference: 44,3333
95% CI for difference: (36,3289; 52,3377)
T-Test of difference = 0 (vs not =): T-Value = 11,18 P-Value = 0,000 DF = 42
Two-sample T for PJ3 AKJW vs P J ke-3 AHWJ
N Mean StDev SE Mean PJ3 AKJW 30 58,33 5,06 0,92 P J ke-3 AHWJ 15 46,17 3,48 0,90
Difference = mu (PJ3 AKJW) - mu (P J ke-3 AHWJ) Estimate for difference: 12,1633
95% CI for difference: (9,5558; 14,7708)
T-Test of difference = 0 (vs not =): T-Value = 9,44 P-Value = 0,000 DF = 38
Two-sample T for PE AKJW vs P.E AHWJ N Mean StDev SE Mean PE AKJW 30 293,6 78,1 14 P.E AHWJ 15 390,3 54,5 14
Difference = mu (PE AKJW) - mu (P.E AHWJ) Estimate for difference: -96,7000
95% CI for difference: (-137,2441; -56,1559)
T-Test of difference = 0 (vs not =): T-Value = -4,83 P-Value = 0,000 DF = 38
Two-sample T for PT AKJW vs P.T AHWJ N Mean StDev SE Mean PT AKJW 30 726,1 88,2 16 P.T AHWJ 15 754,3 67,2 17
Difference = mu (PT AKJW) - mu (P.T AHWJ) Estimate for difference: -28,2333
95% CI for difference: (-76,2664; 19,7997)
T-Test of difference = 0 (vs not =): T-Value = -1,19 P-Value = 0,241 DF = 35
Two-sample T for TJ AKJW vs T. J AHWJ
N Mean StDev SE Mean TJ AKJW 30 17,6 10,2 1,9 T. J AHWJ 15 43,1 10,2 2,6
Difference = mu (TJ AKJW) - mu (T. J AHWJ) Estimate for difference: -25,4833
95% CI for difference: (-32,1109; -18,8558)
T-Test of difference = 0 (vs not =): T-Value = -7,88 P-Value = 0,000 DF = 28
Two-sample T for PA AKJW vs P.Pa AHWJ
N Mean StDev SE Mean PA AKJW 30 20,65 2,41 0,44 P.Pa AHWJ 15 18,57 1,29 0,33 Difference = mu (PA AKJW) - mu (P.Pa AHWJ) Estimate for difference: 2,08333
95% CI for difference: (0,96842; 3,19825)
T-Test of difference = 0 (vs not =): T-Value = 3,77 P-Value = 0,001 DF = 42
Two-sample T for PBW AKJW vs P.Pbw AHWJ
N Mean StDev SE Mean PBW AKJW 30 12,37 1,11 0,20 P.Pbw AHWJ 15 11,77 1,36 0,35
Difference = mu (PBW AKJW) - mu (P.Pbw AHWJ) Estimate for difference: 0,600000
95% CI for difference: (-0,237902; 1,437902)
T-Test of difference = 0 (vs not =): T-Value = 1,48 P-Value = 0,152 DF = 23
Lampiran 6. Uji t ayam kapung jantan VS ayam hutan jantan Ngatabaru
AKJNGA = Ayam kampung jantan Ngatabaru
AHNGAJ = Ayam hutan Ngatabaru jantan
BB = Bobot badan, PH = Panjang paha, PB = panjang betis, PC= panjang cakar,
LC = Lingkar cakar, PS = Panjang sayap, PJ3 = Panjang jari ke-3, PE = panjang ekor,
PT = Panjang tubuh total, TJ = Tinggi jengger, PA=panjang paruh atas dan
Pbw = Panjang paru bawah
Two-sample T for BB AKJNGA vs BB AHNGAJ
N Mean StDev SE Mean BB AKJNGA 29 1959 483 90 BB AHNGAJ 13 909 153 42
Difference = mu (BB AKJNGA) - mu (BB AHNGAJ) Estimate for difference: 1049,39
95% CI for difference: (848,33; 1250,45)
T-Test of difference = 0 (vs not =): T-Value = 10,58 P-Value = 0,000 DF = 37
Two-sample T for PH AKJNGA vs P.PH AHNGAJ
N Mean StDev SE Mean PH AKJNGA 29 107,55 7,39 1,4 P.PH AHNGAJ 13 82,68 3,43 0,95
Difference = mu (PH AKJNGA) - mu (P.PH AHNGAJ) Estimate for difference: 24,8671
95% CI for difference: (21,4898; 28,2444)
T-Test of difference = 0 (vs not =): T-Value = 14,89 P-Value = 0,000 DF = 39
Two-sample T for PB AKJNGA vs P. B AHNGAJ
N Mean StDev SE Mean PB AKJNGA 29 153,41 9,95 1,8 P. B AHNGAJ 13 119,08 2,87 0,80
Difference = mu (PB AKJNGA) - mu (P. B AHNGAJ) Estimate for difference: 34,3369
95% CI for difference: (30,2569; 38,4168)
T-Test of difference = 0 (vs not =): T-Value = 17,07 P-Value = 0,000 DF = 36
Two-sample T for PC AKJNGA vs P.C AHNGAJ
N Mean StDev SE Mean PC AKJNGA 29 100,37 7,54 1,4 P.C AHNGAJ 13 75,61 3,29 0,91
Difference = mu (PC AKJNGA) - mu (P.C AHNGAJ) Estimate for difference: 24,7647
95% CI for difference: (21,3839; 28,1456)
T-Test of difference = 0 (vs not =): T-Value = 14,82 P-Value = 0,000 DF = 39
Two-sample T for LC AKJNGA vs L.C AHNGAJ
N Mean StDev SE Mean LC AKJNGA 29 46,72 4,47 0,83 L.C AHNGAJ 13 31,31 1,32 0,36
Difference = mu (LC AKJNGA) - mu (L.C AHNGAJ) Estimate for difference: 15,4164
95% CI for difference: (13,5771; 17,2558)
T-Test of difference = 0 (vs not =): T-Value = 17,00 P-Value = 0,000 DF = 36
Two-sample T for PS AKJNGA vs P.S AHNGAJ
N Mean StDev SE Mean PS AKJNGA 29 227,6 15,3 2,8 P.S AHNGAJ 13 193,08 4,80 1,3
Difference = mu (PS AKJNGA) - mu (P.S AHNGAJ) Estimate for difference: 34,4748
95% CI for difference: (28,1195; 40,8301)
T-Test of difference = 0 (vs not =): T-Value = 10,99 P-Value = 0,000 DF = 37
Two-sample T for PJ3 AKJNGA vs P. J ke 3 AHNGAJ
N Mean StDev SE Mean PJ3 AKJNGA 29 57,83 4,58 0,85 P. J ke 3 AHNGAJ 13 44,28 3,79 1,1
Difference = mu (PJ3 AKJNGA) - mu (P. J ke 3 AHNGAJ) Estimate for difference: 13,5507
95% CI for difference: (10,7754; 16,3260)
T-Test of difference = 0 (vs not =): T-Value = 10,02 P-Value = 0,000 DF = 27
Two-sample T for PE AKJNGA vs P.E AHNGAJ
SE N Mean StDev Mean PE AKJNGA 29 286,4 81,2 15 P.E AHNGAJ 13 353,1 61,3 17
Difference = mu (PE AKJNGA) - mu (P.E AHNGAJ) Estimate for difference: -66,6976
95% CI for difference: (-113,1048; -20,2904)
T-Test of difference = 0 (vs not =): T-Value = -2,94 P-Value = 0,006 DF = 30
Two-sample T for PT AKJNGA vs P.T AHNGAJ
SE N Mean StDev Mean PT AKJNGA 29 713,1 92,8 17 P.T AHNGAJ 13 708,8 72,4 20
Difference = mu (PT AKJNGA) - mu (P.T AHNGAJ) Estimate for difference: 4,25729
95% CI for difference: (-49,88407; 58,39866)
T-Test of difference = 0 (vs not =): T-Value = 0,16 P-Value = 0,873 DF = 29
Two-sample T for TJ AKJNGA vs T. J AHNGAJ
N Mean StDev SE Mean TJ AKJNGA 29 17,56 9,20 1,7 T. J AHNGAJ 13 35,0 11,3 3,1
Difference = mu (TJ AKJNGA) - mu (T. J AHNGAJ) Estimate for difference: -17,4448
95% CI for difference: (-24,8967; -9,9929)
T-Test of difference = 0 (vs not =): T-Value = -4,90 P-Value = 0,000 DF = 19
Two-sample T for PA AKJNGA vs P.Pa AHNGAJ
N Mean StDev SE Mean PA AKJNGA 29 20,69 2,20 0,41 P.Pa AHNGAJ 13 17,27 1,56 0,43
Difference = mu (PA AKJNGA) - mu (P.Pa AHNGAJ) Estimate for difference: 3,42042
95% CI for difference: (2,20660; 4,63425)
T-Test of difference = 0 (vs not =): T-Value = 5,75 P-Value = 0,000 DF = 31
Two-sample T for PBW AKJNGA vs P.Pbw AHNGAJ
N Mean StDev SE Mean PBW AKJNGA 29 12,38 1,06 0,20 P.Pbw AHNGAJ 13 11,000 0,577 0,16
Difference = mu (PBW AKJNGA) - mu (P.Pbw AHNGAJ) Estimate for difference: 1,37586
95% CI for difference: (0,86242; 1,88930)
T-Test of difference = 0 (vs not =): T-Value = 5,42 P-Value = 0,000 DF = 38
Lampiran 7 Uji t ayam kampung VS ayam hutan merah betina Watutela
AKBW = Ayam kampung betina Watutela
AHWB = Ayam hutan Watutela betina
BB = Bobot badan, PH = Panjang paha, PB = panjang betis, PC= panjang cakar,
LC = Lingkar cakar, PS = Panjang sayap, PJ3 = Panjang jari ke-3, PE = panjang ekor,
PT = Panjang tubuh total, TJ = Tinggi jengger, PA=panjang paruh atas dan
Pbw = Panjang paru bawah
Two-sample T for BB AKBW vs BB AHWB
N Mean StDev SE Mean BB AKBW 30 1442 222 41 BB AHWB 15 592,3 25,5 6,6
Difference = mu (BB AKBW) - mu (BB AHWB) Estimate for difference: 849,167
95% CI for difference: (765,363; 932,970)
T-Test of difference = 0 (vs not =): T-Value = 20,69 P-Value = 0,000 DF = 30
Two-sample T for PH AKBW vs P.PH AHWB
N Mean StDev SE Mean PH AKBW 30 89,21 6,14 1,1 P.PH AHWB 15 66,02 7,64 2,0
Difference = mu (PH AKBW) - mu (P.PH AHWB) Estimate for difference: 23,1900
95% CI for difference: (18,4974; 27,8826)
T-Test of difference = 0 (vs not =): T-Value = 10,22 P-Value = 0,000 DF = 23
Two-sample T for PB AKBW vs P B AHWB
N Mean StDev SE Mean PB AKBW 30 128,35 5,76 1,1 P B AHWB 15 102,20 1,82 0,47
Difference = mu (PB AKBW) - mu (P B AHWB) Estimate for difference: 26,1467
95% CI for difference: (23,8134; 28,4799)
T-Test of difference = 0 (vs not =): T-Value = 22,69 P-Value = 0,000 DF = 38
Two-sample T for PC AKBW vs P.C AHWB
N Mean StDev SE Mean PC AKBW 30 79,68 5,84 1,1 P.C AHWB 15 63,60 1,55 0,40
Difference = mu (PC AKBW) - mu (P.C AHWB) Estimate for difference: 16,0767
95% CI for difference: (13,7665; 18,3868)
T-Test of difference = 0 (vs not =): T-Value = 14,11 P-Value = 0,000 DF = 36
Two-sample T for LC AKBW vs L.C AHWB
N Mean StDev SE Mean LC AKBW 30 40,73 3,38 0,62 L.C AHWB 15 30,533 0,990 0,26
Difference = mu (LC AKBW) - mu (L.C AHWB) Estimate for difference: 10,2000
95% CI for difference: (8,8456; 11,5544)
T-Test of difference = 0 (vs not =): T-Value = 15,26 P-Value = 0,000 DF = 37
Two-sample T for PS AKBW vs P.S AHWB
N Mean StDev SE Mean PS AKBW 30 193,3 13,7 2,5 P.S AHWB 15 170,00 9,45 2,4
Difference = mu (PS AKBW) - mu (P.S AHWB) Estimate for difference: 23,3333
95% CI for difference: (16,2520; 30,4146)
T-Test of difference = 0 (vs not =): T-Value = 6,67 P-Value = 0,000 DF = 38
Two-sample T for PJ3 AKBW vs P J ke-3 AHWB
N Mean StDev SE Mean PJ3 AKBW 30 51,05 5,08 0,93 P J ke-3 AHWB 15 39,97 1,54 0,40
Difference = mu (PJ3 AKBW) - mu (P J ke-3 AHWB) Estimate for difference: 11,0800
95% CI for difference: (9,0348; 13,1252)
T-Test of difference = 0 (vs not =): T-Value = 10,98 P-Value = 0,000 DF = 37
Two-sample T for PE AKBW vs P.E AHWB
N Mean StDev SE Mean PE AKBW 30 166,3 16,2 3,0 P.E AHWB 15 166,37 6,64 1,7
Difference = mu (PE AKBW) - mu (P.E AHWB) Estimate for difference: -0,033333
95% CI for difference: (-6,932662; 6,865995)
T-Test of difference = 0 (vs not =): T-Value = -0,01 P-Value = 0,992 DF = 41
Two-sample T for PT AKBW vs P.T AHWB
N Mean StDev SE Mean PT AKBW 30 545,3 27,1 4,9 P.T AHWB 15 466,00 8,70 2,2
Difference = mu (PT AKBW) - mu (P.T AHWB) Estimate for difference: 79,3000
95% CI for difference: (68,3071; 90,2929)
T-Test of difference = 0 (vs not =): T-Value = 14,60 P-Value = 0,000 DF = 38
Two-sample T for TJ AKBW vs T. J AHWB
N Mean StDev SE Mean TJ AKBW 30 9,83 6,58 1,2 T. J AHWB 15 2,600 0,507 0,13
Difference = mu (TJ AKBW) - mu (T. J AHWB) Estimate for difference: 7,23333
95% CI for difference: (4,76176; 9,70491)
T-Test of difference = 0 (vs not =): T-Value = 5,99 P-Value = 0,000 DF = 29
Two-sample T for PA AKBW vs P.Pa AHWB
N Mean StDev SE Mean PA AKBW 30 18,75 1,42 0,26 P.Pa AHWB 15 16,773 0,219 0,056
Difference = mu (PA AKBW) - mu (P.Pa AHWB) Estimate for difference: 1,97333
95% CI for difference: (1,43087; 2,51580)
T-Test of difference = 0 (vs not =): T-Value = 7,42 P-Value = 0,000 DF = 31
Two-sample T for PBW AKBW vs P.Pbw AHWB
N Mean StDev SE Mean PBW AKBW 30 11,777 0,971 0,18 P.Pbw AHWB 15 10,867 0,297 0,077
Difference = mu (PBW AKBW) - mu (P.Pbw AHWB) Estimate for difference: 0,910000
95% CI for difference: (0,519072; 1,300928)
T-Test of difference = 0 (vs not =): T-Value = 4,71 P-Value = 0,000 DF = 38
Lampiran 8. Uji t ayam kapung VS ayam hutan merah betina Ngatabaru
AKBNGA = Ayam kampung betina Ngatabaru
AHNGAB = Ayam hutan Ngatabaru Betina
BB = Bobot badan, PH = Panjang paha, PB = panjang betis, PC= panjang cakar,
LC = Lingkar cakar, PS = Panjang sayap, PJ3 = Panjang jari ke-3, PE = panjang ekor,
PT = Panjang tubuh total, TJ = Tinggi jengger, PA=panjang paruh atas dan
Pbw = Panjang paru bawah
Two-sample T for BB AKBNGA vs BB AHNGAB
N Mean StDev SE Mean BB AKBNGA 30 1359 271 49 BB AHNGAB 11 601,4 21,2 6,4
Difference = mu (BB AKBNGA) - mu (BB AHNGAB) Estimate for difference: 757,803
95% CI for difference: (655,807; 859,799)
T-Test of difference = 0 (vs not =): T-Value = 15,20 P-Value = 0,000 DF = 29
Two-sample T for PH AKBNGA vs P.PH AHNGAB
N Mean StDev SE Mean PH AKBNGA 30 87,29 6,36 1,2 P.PH AHNGAB 11 69,91 7,40 2,2
Difference = mu (PH AKBNGA) - mu (P.PH AHNGAB) Estimate for difference: 17,3842
95% CI for difference: (12,0252; 22,7433)
T-Test of difference = 0 (vs not =): T-Value = 6,91 P-Value = 0,000 DF = 15
Two-sample T for PB AKBNGA vs P. B AHNGAB
N Mean StDev SE Mean PB AKBNGA 30 125,16 8,64 1,6 P. B AHNGAB 11 102,18 1,72 0,52
Difference = mu (PB AKBNGA) - mu (P. B AHNGAB) Estimate for difference: 22,9815
95% CI for difference: (19,6050; 26,3580)
T-Test of difference = 0 (vs not =): T-Value = 13,83 P-Value = 0,000 DF = 34
Two-sample T for PC AKBNGA vs P.C AHNGA
N Mean StDev SE Mean PC AKBNGA 30 77,57 7,32 1,3 P.C AHNGA 11 63,64 2,06 0,62
Difference = mu (PC AKBNGA) - mu (P.C AHNGA) Estimate for difference: 13,9303
95% CI for difference: (10,9422; 16,9185)
T-Test of difference = 0 (vs not =): T-Value = 9,45 P-Value = 0,000 DF = 37
Two-sample T for LC AKBNGA vs L.C AHNGAB
N Mean StDev SE Mean LC AKBNGA 30 39,97 3,63 0,66 L.C AHNGAB 11 30,94 1,31 0,40
Difference = mu (LC AKBNGA) - mu (L.C AHNGAB) Estimate for difference: 9,03030
95% CI for difference: (7,46618; 10,59443)
T-Test of difference = 0 (vs not =): T-Value = 11,69 P-Value = 0,000 DF = 38
Two-sample T for PS AKBNGA vs P.S AHNGAB
N Mean StDev SE Mean PS AKBNGA 30 195,8 12,6 2,3 P.S AHNGAB 11 170,00 6,71 2,0
Difference = mu (PS AKBNGA) - mu (P.S AHNGAB) Estimate for difference: 25,8333
95% CI for difference: (19,6013; 32,0654)
T-Test of difference = 0 (vs not =): T-Value = 8,43 P-Value = 0,000 DF = 33
Two-sample T for PJ3 AKBNGA vs P. J ke 3 AHNGAB
N Mean StDev SE Mean PJ3 AKBNGA 30 49,23 4,04 0,74 P. J ke 3 AHNGAB 11 39,40 2,27 0,68
Difference = mu (PJ3 AKBNGA) - mu (P. J ke 3 AHNGAB) Estimate for difference: 9,82667
95% CI for difference: (7,77378; 11,87955)
T-Test of difference = 0 (vs not =): T-Value = 9,76 P-Value = 0,000 DF = 31
Two-sample T for PE AKBNGA vs P.E AHNGAB
N Mean StDev SE Mean PE AKBNGA 30 158,5 13,1 2,4 P.E AHNGAB 11 167,18 5,67 1,7
Difference = mu (PE AKBNGA) - mu (P.E AHNGAB) Estimate for difference: -8,68182
95% CI for difference: (-14,63146; -2,73218)
T-Test of difference = 0 (vs not =): T-Value = -2,96 P-Value = 0,005 DF = 37
Two-sample T for PT AKBNGA vs P.T AHNGAB
N Mean StDev SE Mean PT AKBNGA 30 529,5 31,3 5,7 P.T AHNGAB 11 465,9 12,4 3,7
Difference = mu (PT AKBNGA) - mu (P.T AHNGAB) Estimate for difference: 63,5576
95% CI for difference: (49,7275; 77,3876)
T-Test of difference = 0 (vs not =): T-Value = 9,30 P-Value = 0,000 DF = 38
Two-sample T for TJ AKBNGA vs T. J AHNGAB
N Mean StDev SE Mean TJ AKBNGA 30 8,63 6,21 1,1 T. J AHNGAB 11 2,455 0,522 0,16
Difference = mu (TJ AKBNGA) - mu (T. J AHNGAB) Estimate for difference: 6,17212
95% CI for difference: (3,83268; 8,51157)
T-Test of difference = 0 (vs not =): T-Value = 5,39 P-Value = 0,000 DF = 30
Two-sample T for PA AKBNGA vs P.Pa AHNGAB
N Mean StDev SE Mean PA AKBNGA 30 18,47 1,48 0,27 P.Pa AHNGAB 11 16,764 0,304 0,092
Difference = mu (PA AKBNGA) - mu (P.Pa AHNGAB) Estimate for difference: 1,70303
95% CI for difference: (1,12359; 2,28247)
T-Test of difference = 0 (vs not =): T-Value = 5,97 P-Value = 0,000 DF = 34
Two-sample T for PBW AKBNGA vs P.Pbw AHNGAB
N Mean StDev SE Mean PBW AKBNGA 30 11,473 0,714 0,13 P.Pbw AHNGAB 11 10,764 0,329 0,099
Difference = mu (PBW AKBNGA) - mu (P.Pbw AHNGAB) Estimate for difference: 0,709697
95% CI for difference: (0,377345; 1,042049)
T-Test of difference = 0 (vs not =): T-Value = 4,33 P-Value = 0,000 DF = 36
Lampiran 9. Analisis Komponen Utama ayam hutan merah jantan di Watutela dan
Ngatabaru
Eigenanalysis of the Covariance Matrix
Eigenvalue 8526,8 313,0 94,3 34,4 19,1 10,4 6,5 3,4 2,1 Proportion 0,946 0,035 0,010 0,004 0,002 0,001 0,001 0,000 0,000 Cumulative 0,946 0,981 0,991 0,995 0,997 0,999 0,999 1,000 1,000 Eigenvalue 1,0 0,4 Proportion 0,000 0,000 Cumulative 1,000 1,000 Variable PC1 PC2 PC3 PC4 PC5 PC6 PC7 PC8 Paha 0,015 0,021 -0,130 -0,131 -0,083 -0,695 -0,443 0,457 Betis 0,012 0,064 -0,091 -0,105 -0,333 0,200 0,567 0,671 Cakar 0,006 0,070 -0,106 -0,075 -0,654 0,415 -0,577 0,002 Lingkar 0,008 -0,009 -0,094 0,076 -0,033 0,215 -0,026 -0,216 PS -0,006 0,277 -0,037 0,944 -0,104 -0,082 -0,016 0,101 j3 0,007 0,036 -0,124 -0,063 -0,610 -0,464 0,382 -0,488 pe 0,631 -0,741 -0,001 0,204 -0,093 -0,008 -0,003 0,051 pt 0,773 0,603 0,092 -0,153 0,076 0,008 0,001 -0,048 tj 0,068 0,027 -0,963 -0,014 0,212 0,063 0,024 -0,055 pa 0,004 0,014 -0,041 -0,002 -0,097 0,159 0,013 0,158 pb 0,005 -0,010 -0,018 -0,026 -0,040 0,088 -0,043 -0,110 Variable PC9 PC10 PC11 Paha -0,144 -0,223 -0,017 Betis 0,088 -0,190 0,093 Cakar 0,196 0,085 0,017 Lingkar -0,265 -0,843 -0,332 PS 0,006 0,021 0,053 j3 -0,049 0,061 -0,046 pe 0,013 0,014 0,006 pt -0,006 -0,006 -0,009 tj 0,063 0,097 0,027 pa -0,794 0,406 -0,377 pb -0,475 -0,135 0,856
Lampiran 10. Analisis Komponen Utama ayam hutan merah betina di Watutela dan
Ngatabaru
Eigenanalysis of the Covariance Matrix
Eigenvalue 132,41 98,46 30,28 13,93 2,43 1,07 0,49 0,19 0,08 Proportion 0,474 0,352 0,108 0,050 0,009 0,004 0,002 0,001 0,000 Cumulative 0,474 0,826 0,935 0,984 0,993 0,997 0,999 0,999 1,000 Eigenvalue 0,06 0,02 Proportion 0,000 0,000 Cumulative 1,000 1,000 Variable PC1 PC2 PC3 PC4 PC5 PC6 PC7 PC8 Paha 0,027 0,652 0,736 0,025 -0,156 -0,065 -0,055 0,015 Betis 0,017 0,136 0,031 0,003 0,573 -0,254 0,753 0,116 Cakar -0,017 0,123 0,008 -0,080 0,720 -0,090 -0,527 -0,396 Lingkar -0,039 0,036 0,046 -0,144 0,315 0,452 -0,226 0,773 PS -0,156 0,727 -0,648 -0,034 -0,109 0,112 0,022 -0,025 j3 0,118 0,039 -0,153 0,036 -0,056 -0,794 -0,296 0,399 pe -0,449 -0,065 0,073 -0,866 -0,100 -0,158 0,053 -0,034 pt 0,870 0,072 -0,079 -0,467 -0,041 0,075 0,038 -0,055 tj 0,011 -0,029 -0,018 0,039 -0,061 -0,207 -0,060 0,129 pa 0,012 -0,000 -0,012 0,030 -0,006 -0,029 0,063 0,069 pb 0,004 0,015 -0,004 0,008 -0,005 -0,034 0,025 0,214 Variable PC9 PC10 PC11 Paha -0,009 -0,004 -0,011 Betis -0,053 -0,050 0,037 Cakar 0,028 0,130 -0,012 Lingkar -0,097 -0,104 -0,036 PS -0,030 0,018 0,006 j3 0,118 -0,249 -0,051 pe 0,004 0,022 -0,018 pt -0,016 0,032 0,005 tj -0,755 0,579 0,162 pa 0,118 0,386 -0,909 pb 0,623 0,650 0,376
Lampiran 11. Analisis Komponen Utama ayam kampung jantan di Watutela dan
Ngatabaru
Eigenanalysis of the Covariance Matrix
Eigenvalue 13973 602 194 74 46 21 14 9 3 Proportion 0,935 0,040 0,013 0,005 0,003 0,001 0,001 0,001 0,000 Cumulative 0,935 0,976 0,989 0,994 0,997 0,998 0,999 1,000 1,000 Eigenvalue 2 1 Proportion 0,000 0,000 Cumulative 1,000 1,000 Variable PC1 PC2 PC3 PC4 PC5 PC6 PC7 PC8 Paha 0,028 0,195 -0,082 -0,039 -0,283 -0,275 0,411 -0,700 Betis 0,039 0,209 -0,092 -0,216 -0,570 0,441 -0,580 -0,191 Cakar 0,017 0,178 -0,125 -0,387 -0,472 0,002 0,482 0,563 Lingkar 0,030 0,028 0,014 0,011 -0,181 -0,083 0,212 -0,204 PS 0,038 0,471 -0,795 0,307 0,202 0,027 -0,019 0,076 j3 0,000 0,073 -0,041 -0,097 -0,170 -0,825 -0,454 0,091 pe 0,654 -0,631 -0,362 0,082 -0,182 -0,025 0,006 0,002 pt 0,753 0,497 0,354 -0,097 0,223 0,012 -0,010 0,018 tj 0,029 0,106 0,284 0,821 -0,432 -0,019 0,035 0,194 pa 0,002 0,047 0,004 -0,083 0,022 -0,170 -0,091 0,208 pb -0,001 0,010 0,007 -0,023 -0,020 -0,105 0,031 0,137 Variable PC9 PC10 PC11 Paha -0,331 0,165 0,015 Betis -0,041 -0,045 0,068 Cakar 0,052 0,130 -0,105 Lingkar 0,566 -0,741 0,053 PS 0,045 -0,036 0,009 j3 0,197 0,125 -0,068 pe -0,054 0,004 -0,001 pt 0,040 0,021 -0,000 tj -0,068 0,034 -0,029 pa -0,710 -0,621 -0,143 pb -0,110 -0,026 0,978
Lampiran 12. Analisis Komponen Utama ayam kampung betina di Watutela dan
Ngatabaru
Eigenanalysis of the Covariance Matrix
Eigenvalue 1052,9 181,7 130,5 58,3 39,8 25,7 14,0 11,4 6,6 Proportion 0,691 0,119 0,086 0,038 0,026 0,017 0,009 0,007 0,004 Cumulative 0,691 0,811 0,896 0,935 0,961 0,978 0,987 0,994 0,999 Eigenvalue 1,6 0,6 Proportion 0,001 0,000 Cumulative 1,000 1,000 Variable PC1 PC2 PC3 PC4 PC5 PC6 PC7 PC8 Paha 0,067 0,203 -0,173 -0,028 0,306 -0,833 -0,290 -0,182 Betis 0,127 0,122 0,106 0,704 0,035 -0,062 0,515 -0,304 Cakar 0,110 0,015 0,048 0,634 -0,096 0,129 -0,672 0,026 Lingkar 0,040 -0,015 0,099 0,073 -0,123 0,001 -0,242 0,575 PS 0,187 0,631 -0,681 -0,038 -0,061 0,302 -0,010 0,003 j3 0,072 0,096 -0,090 0,192 0,031 -0,300 0,354 0,716 pe 0,283 -0,726 -0,598 0,101 0,132 0,016 0,032 -0,004 pt 0,919 0,053 0,315 -0,214 -0,061 0,004 0,005 -0,032 tj 0,020 0,074 0,136 0,020 0,924 0,321 -0,043 0,125 pa 0,012 0,014 0,002 0,036 -0,005 0,008 0,100 0,113 pb -0,000 -0,005 -0,003 0,002 0,025 -0,025 0,039 0,038 Variable PC9 PC10 PC11 Paha 0,123 -0,055 -0,026 Betis 0,312 0,038 -0,006 Cakar -0,321 -0,037 0,025 Lingkar 0,761 0,025 -0,013 PS 0,079 0,005 0,011 j3 -0,436 0,145 -0,009 pe 0,073 -0,001 -0,011 pt -0,051 0,002 0,006 tj 0,021 0,014 -0,015 pa -0,031 -0,954 -0,255 pb 0,012 -0,251 0,966