DAFTAR PUSTAKA. Badan Pusat Statistik Kabupaten Donggala dalam Angka. Donggala: Kerjasama BAPPEDA dengan BPS Kabupaten Donggala.

Transkripsi

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5 Lampiran 1. Uji t ayam hutan merah jantan Watutela VS Ngatabaru AHWJ = Ayam hutan Watutela jantan 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 AHWJ vs BB AHNGAJ SE N Mean StDev Mean BB AHWJ BB AHNGAJ Difference = mu (BB AHWJ) - mu (BB AHNGAJ) Estimate for difference: % CI for difference: ( , ) T-Test of difference = 0 (vs not =): T-Value = 1.30 P-Value = DF = 23 Two-sample T for P.PH AHWJ vs P.PH AHNGAJ P.PH AHWJ P.PH AHNGAJ Difference = mu (P.PH AHWJ) - mu (P.PH AHNGAJ) Estimate for difference: % CI for difference: ( , ) T-Test of difference = 0 (vs not =): T-Value = 0.48 P-Value = DF = 25 Two-sample T for P B AHWJ vs P. B AHNGAJ P B AHWJ P. B AHNGAJ Difference = mu (P B AHWJ) - mu (P. B AHNGAJ) Estimate for difference: % CI for difference: ( , ) T-Test of difference = 0 (vs not =): T-Value = 2.95 P-Value = DF = 24 Two-sample T for P.C AHWJ vs P.C AHNGAJ P.C AHWJ P.C AHNGAJ Difference = mu (P.C AHWJ) - mu (P.C AHNGAJ) Estimate for difference: % CI for difference: ( , ) T-Test of difference = 0 (vs not =): T-Value = 1.56 P-Value = DF = 25

6 84 Two-sample T for L.C AHWJ vs L.C AHNGAJ L.C AHWJ L.C AHNGAJ Difference = mu (L.C AHWJ) - mu (L.C AHNGAJ) Estimate for difference: % CI for difference: ( , ) T-Test of difference = 0 (vs not =): T-Value = 1.39 P-Value = DF = 24 Two-sample T for P.S AHWJ vs P.S AHNGAJ P.S AHWJ P.S AHNGAJ Difference = mu (P.S AHWJ) - mu (P.S AHNGAJ) Estimate for difference: % CI for difference: ( , ) T-Test of difference = 0 (vs not =): T-Value = P-Value = DF = 23 Two-sample T for P J ke-3 AHWJ vs P. J ke 3 AHNGAJ P J ke-3 AHWJ P. J ke 3 AHNGAJ Difference = mu (P J ke-3 AHWJ) - mu (P. J ke 3 AHNGAJ) Estimate for difference: % CI for difference: ( , ) T-Test of difference = 0 (vs not =): T-Value = 1.37 P-Value = DF = 24 Two-sample T for P.E AHWJ vs P.E AHNGAJ P.E AHWJ P.E AHNGAJ Difference = mu (P.E AHWJ) - mu (P.E AHNGAJ) Estimate for difference: % CI for difference: ( , ) T-Test of difference = 0 (vs not =): T-Value = 1.69 P-Value = DF = 24 Two-sample T for P.T AHWJ vs P.T AHNGAJ P.T AHWJ P.T AHNGAJ Difference = mu (P.T AHWJ) - mu (P.T AHNGAJ) Estimate for difference: % CI for difference: ( , ) T-Test of difference = 0 (vs not =): T-Value = 1.71 P-Value = DF = 24

7 85 Two-sample T for T. J AHWJ vs T. J AHNGAJ T. J AHWJ T. J AHNGAJ Difference = mu (T. J AHWJ) - mu (T. J AHNGAJ) Estimate for difference: % CI for difference: ( , ) T-Test of difference = 0 (vs not =): T-Value = 1.98 P-Value = DF = 24 Two-sample T for P.Pa AHWJ vs P.Pa AHNGAJ P.Pa AHWJ P.Pa AHNGAJ Difference = mu (P.Pa AHWJ) - mu (P.Pa AHNGAJ) Estimate for difference: % CI for difference: ( , ) T-Test of difference = 0 (vs not =): T-Value = 2.37 P-Value = DF = 23 Two-sample T for P.Pbw AHWJ vs P.Pbw AHNGAJ P.Pbw AHWJ P.Pbw AHNGAJ Difference = mu (P.Pbw AHWJ) - mu (P.Pbw AHNGAJ) Estimate for difference: % CI for difference: ( , ) T-Test of difference = 0 (vs not =): T-Value = 2.00 P-Value = DF = 19

8 86 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 BB AHWB BB AHNGAB Difference = mu (BB AHWB) - mu (BB AHNGAB) Estimate for difference: % CI for difference: ( , ) T-Test of difference = 0 (vs not =): T-Value = P-Value = DF = 23 Two-sample T for P.PH AHWB vs P.PH AHNGAB P.PH AHWB P.PH AHNGAB Difference = mu (P.PH AHWB) - mu (P.PH AHNGAB) Estimate for difference: % CI for difference: ( , ) T-Test of difference = 0 (vs not =): T-Value = P-Value = DF = 22 Two-sample T for P B AHWB vs P. B AHNGAB P B AHWB P. B AHNGAB Difference = mu (P B AHWB) - mu (P. B AHNGAB) Estimate for difference: % CI for difference: ( , ) T-Test of difference = 0 (vs not =): T-Value = 0.03 P-Value = DF = 22 Two-sample T for P.C AHWB vs P.C AHNGA P.C AHWB P.C AHNGA Difference = mu (P.C AHWB) - mu (P.C AHNGA) Estimate for difference: % CI for difference: ( , ) T-Test of difference = 0 (vs not =): T-Value = P-Value = DF = 17 Two-sample T for L.C AHWB vs L.C AHNGAB L.C AHWB L.C AHNGAB Difference = mu (L.C AHWB) - mu (L.C AHNGAB) Estimate for difference: % CI for difference: ( , ) T-Test of difference = 0 (vs not =): T-Value = P-Value = DF = 17

9 87 Two-sample T for P.S AHWB vs P.S AHNGAB P.S AHWB P.S AHNGAB Difference = mu (P.S AHWB) - mu (P.S AHNGAB) Estimate for difference: % CI for difference: ( , ) T-Test of difference = 0 (vs not =): T-Value = 0.00 P-Value = DF = 23 Two-sample T for P J ke-3 AHWB vs P. J ke 3 AHNGAB P J ke-3 AHWB P. J ke 3 AHNGAB Difference = mu (P J ke-3 AHWB) - mu (P. J ke 3 AHNGAB) Estimate for difference: % CI for difference: ( , ) T-Test of difference = 0 (vs not =): T-Value = 0.72 P-Value = DF = 16 Two-sample T for P.E AHWB vs P.E AHNGAB P.E AHWB P.E AHNGAB Difference = mu (P.E AHWB) - mu (P.E AHNGAB) Estimate for difference: % CI for difference: ( , ) T-Test of difference = 0 (vs not =): T-Value = P-Value = DF = 23 Two-sample T for P.T AHWB vs P.T AHNGAB P.T AHWB P.T AHNGAB Difference = mu (P.T AHWB) - mu (P.T AHNGAB) Estimate for difference: % CI for difference: ( , ) T-Test of difference = 0 (vs not =): T-Value = 0.02 P-Value = DF = 16 Two-sample T for T. J AHWB vs T. J AHNGAB T. J AHWB T. J AHNGAB Difference = mu (T. J AHWB) - mu (T. J AHNGAB) Estimate for difference: % CI for difference: ( , ) T-Test of difference = 0 (vs not =): T-Value = 0.71 P-Value = DF = 21

10 88 Two-sample T for P.Pa AHWB vs P.Pa AHNGAB P.Pa AHWB P.Pa AHNGAB Difference = mu (P.Pa AHWB) - mu (P.Pa AHNGAB) Estimate for difference: % CI for difference: ( , ) T-Test of difference = 0 (vs not =): T-Value = 0.09 P-Value = DF = 17 Two-sample T for P.Pbw AHWB vs P.Pbw AHNGAB P.Pbw AHWB P.Pbw AHNGAB Difference = mu (P.Pbw AHWB) - mu (P.Pbw AHNGAB) Estimate for difference: % CI for difference: ( , ) T-Test of difference = 0 (vs not =): T-Value = 0.82 P-Value = DF = 20

11 89 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 BB AKJW BB AKJNGA Difference = mu (BB AKJW) - mu (BB AKJNGA) Estimate for difference: 17, % 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 PH AKJW ,62 6,51 1,2 PH AKJNGA ,55 7,39 1,4 Difference = mu (PH AKJW) - mu (PH AKJNGA) Estimate for difference: 1, % 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 PB AKJW ,31 7,50 1,4 PB AKJNGA ,41 9,95 1,8 Difference = mu (PB AKJW) - mu (PB AKJNGA) Estimate for difference: 1, % 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 PC AKJW ,91 7,23 1,3 PC AKJNGA ,37 7,54 1,4 Difference = mu (PC AKJW) - mu (PC AKJNGA) Estimate for difference: 0, % CI for difference: (-3,320055; 4,388561) T-Test of difference = 0 (vs not =): T-Value = 0,28 P-Value = 0,782 DF = 56

12 90 Two-sample T for LC AKJW vs LC AKJNGA LC AKJW 30 46,77 4,00 0,73 LC AKJNGA 29 46,72 4,47 0,83 Difference = mu (LC AKJW) - mu (LC AKJNGA) Estimate for difference: 0, % 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 PS AKJW ,0 18,4 3,4 PS AKJNGA ,6 15,3 2,8 Difference = mu (PS AKJW) - mu (PS AKJNGA) Estimate for difference: 3, % 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 PJ3 AKJW 30 58,33 5,06 0,92 PJ3 AKJNGA 29 57,83 4,58 0,85 Difference = mu (PJ3 AKJW) - mu (PJ3 AKJNGA) Estimate for difference: 0, % 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 SE N Mean StDev Mean PE AKJW ,6 78,1 14 PE AKJNGA ,4 81,2 15 Difference = mu (PE AKJW) - mu (PE AKJNGA) Estimate for difference: 7, % 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 PT AKJW ,1 88,2 16 PT AKJNGA ,1 92,8 17 Difference = mu (PT AKJW) - mu (PT AKJNGA) Estimate for difference: 12, % CI for difference: (-34,2529; 60,2460) T-Test of difference = 0 (vs not =): T-Value = 0,55 P-Value = 0,584 DF = 56

13 91 Two-sample T for TJ AKJW vs TJ AKJNGA TJ AKJW 30 17,6 10,2 1,9 TJ AKJNGA 29 17,56 9,20 1,7 Difference = mu (TJ AKJW) - mu (TJ AKJNGA) Estimate for difference: 0, % 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 PA AKJW 30 20,65 2,41 0,44 PA AKJNGA 29 20,69 2,20 0,41 Difference = mu (PA AKJW) - mu (PA AKJNGA) Estimate for difference: -0, % 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 PBW 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, % CI for difference: (-0,567237; 0,562180) T-Test of difference = 0 (vs not =): T-Value = -0,01 P-Value = 0,993 DF = 56

14 92 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 BB AKBW BB AKBNGA Difference = mu (BB AKBW) - mu (BB AKBNGA) Estimate for difference: % CI for difference: ( , ) T-Test of difference = 0 (vs not =): T-Value = 1.29 P-Value = DF = 55 Two-sample T for PH AKBW vs PH AKBNGA PH AKBW PH AKBNGA Difference = mu (PH AKBW) - mu (PH AKBNGA) Estimate for difference: % CI for difference: ( , ) T-Test of difference = 0 (vs not =): T-Value = 1.19 P-Value = DF = 57 Two-sample T for PB AKBW vs PB AKBNGA PB AKBW PB AKBNGA Difference = mu (PB AKBW) - mu (PB AKBNGA) Estimate for difference: % CI for difference: ( , ) T-Test of difference = 0 (vs not =): T-Value = 1.68 P-Value = DF = 50 Two-sample T for PC AKBW vs PC AKBNGA PC AKBW PC AKBNGA Difference = mu (PC AKBW) - mu (PC AKBNGA) Estimate for difference: % CI for difference: ( , ) T-Test of difference = 0 (vs not =): T-Value = 1.23 P-Value = DF = 55 Two-sample T for LC AKBW vs LC AKBNGA LC AKBW LC AKBNGA Difference = mu (LC AKBW) - mu (LC AKBNGA) Estimate for difference: % CI for difference: ( , ) T-Test of difference = 0 (vs not =): T-Value = 0.85 P-Value = DF = 57

15 93 Two-sample T for PS AKBW vs PS AKBNGA PS AKBW PS AKBNGA Difference = mu (PS AKBW) - mu (PS AKBNGA) Estimate for difference: % CI for difference: ( , ) T-Test of difference = 0 (vs not =): T-Value = P-Value = DF = 57 Two-sample T for PJ3 AKBW vs PJ3 AKBNGA PJ3 AKBW PJ3 AKBNGA Difference = mu (PJ3 AKBW) - mu (PJ3 AKBNGA) Estimate for difference: % CI for difference: ( , ) T-Test of difference = 0 (vs not =): T-Value = 1.54 P-Value = DF = 55 Two-sample T for PE AKBW vs PE AKBNGA PE AKBW PE AKBNGA Difference = mu (PE AKBW) - mu (PE AKBNGA) Estimate for difference: % CI for difference: ( , ) T-Test of difference = 0 (vs not =): T-Value = 2.06 P-Value = DF = 55 Two-sample T for PT AKBW vs PT AKBNGA PT AKBW PT AKBNGA Difference = mu (PT AKBW) - mu (PT AKBNGA) Estimate for difference: % CI for difference: (0.6955, ) T-Test of difference = 0 (vs not =): T-Value = 2.10 P-Value = DF = 56 Two-sample T for TJ AKBW vs TJ AKBNGA TJ AKBW TJ AKBNGA Difference = mu (TJ AKBW) - mu (TJ AKBNGA) Estimate for difference: % CI for difference: ( , ) T-Test of difference = 0 (vs not =): T-Value = 0.73 P-Value = DF = 57

16 94 Two-sample T for PA AKBW vs PA AKBNGA PA AKBW PA AKBNGA Difference = mu (PA AKBW) - mu (PA AKBNGA) Estimate for difference: % CI for difference: ( , ) T-Test of difference = 0 (vs not =): T-Value = 0.75 P-Value = DF = 57 Two-sample T for PBW AKBW vs PBW AKBNGA PBW AKBW PBW AKBNGA Difference = mu (PBW AKBW) - mu (PBW AKBNGA) Estimate for difference: % CI for difference: ( , ) T-Test of difference = 0 (vs not =): T-Value = 1.38 P-Value = DF = 53

17 95 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 BB AKJW BB AHWJ 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 PH AKJW ,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, % 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 PB AKJW ,31 7,50 1,4 P B AHWJ ,19 2,68 0,69 Difference = mu (PB AKJW) - mu (P B AHWJ) Estimate for difference: 33, % 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 PC AKJW ,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, % CI for difference: (19,6228; 26,5372) T-Test of difference = 0 (vs not =): T-Value = 13,48 P-Value = 0,000 DF = 41

18 96 Two-sample T for LC AKJW vs L.C AHWJ 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, % 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 PS AKJW ,0 18,4 3,4 P.S AHWJ ,67 8,16 2,1 Difference = mu (PS AKJW) - mu (P.S AHWJ) Estimate for difference: 44, % 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 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, % 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 PE AKJW ,6 78,1 14 P.E AHWJ ,3 54,5 14 Difference = mu (PE AKJW) - mu (P.E AHWJ) Estimate for difference: -96, % 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 PT AKJW ,1 88,2 16 P.T AHWJ ,3 67,2 17 Difference = mu (PT AKJW) - mu (P.T AHWJ) Estimate for difference: -28, % CI for difference: (-76,2664; 19,7997) T-Test of difference = 0 (vs not =): T-Value = -1,19 P-Value = 0,241 DF = 35

19 97 Two-sample T for TJ AKJW vs T. J AHWJ 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, % 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 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, % 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 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, % CI for difference: (-0,237902; 1,437902) T-Test of difference = 0 (vs not =): T-Value = 1,48 P-Value = 0,152 DF = 23

20 98 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 BB AKJNGA BB AHNGAJ 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 PH AKJNGA ,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, % 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 PB AKJNGA ,41 9,95 1,8 P. B AHNGAJ ,08 2,87 0,80 Difference = mu (PB AKJNGA) - mu (P. B AHNGAJ) Estimate for difference: 34, % 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 PC AKJNGA ,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, % CI for difference: (21,3839; 28,1456) T-Test of difference = 0 (vs not =): T-Value = 14,82 P-Value = 0,000 DF = 39

21 99 Two-sample T for LC AKJNGA vs L.C AHNGAJ 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, % 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 PS AKJNGA ,6 15,3 2,8 P.S AHNGAJ ,08 4,80 1,3 Difference = mu (PS AKJNGA) - mu (P.S AHNGAJ) Estimate for difference: 34, % 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 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, % 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 ,4 81,2 15 P.E AHNGAJ ,1 61,3 17 Difference = mu (PE AKJNGA) - mu (P.E AHNGAJ) Estimate for difference: -66, % CI for difference: (-113,1048; -20,2904) T-Test of difference = 0 (vs not =): T-Value = -2,94 P-Value = 0,006 DF = 30

22 100 Two-sample T for PT AKJNGA vs P.T AHNGAJ SE N Mean StDev Mean PT AKJNGA ,1 92,8 17 P.T AHNGAJ ,8 72,4 20 Difference = mu (PT AKJNGA) - mu (P.T AHNGAJ) Estimate for difference: 4, % 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 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, % 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 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, % 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 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, % CI for difference: (0,86242; 1,88930) T-Test of difference = 0 (vs not =): T-Value = 5,42 P-Value = 0,000 DF = 38

23 101 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 BB AKBW BB AHWB ,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 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, % 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 PB AKBW ,35 5,76 1,1 P B AHWB ,20 1,82 0,47 Difference = mu (PB AKBW) - mu (P B AHWB) Estimate for difference: 26, % 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 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, % CI for difference: (13,7665; 18,3868) T-Test of difference = 0 (vs not =): T-Value = 14,11 P-Value = 0,000 DF = 36

24 102 Two-sample T for LC AKBW vs L.C AHWB 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, % 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 PS AKBW ,3 13,7 2,5 P.S AHWB ,00 9,45 2,4 Difference = mu (PS AKBW) - mu (P.S AHWB) Estimate for difference: 23, % 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 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, % 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 PE AKBW ,3 16,2 3,0 P.E AHWB ,37 6,64 1,7 Difference = mu (PE AKBW) - mu (P.E AHWB) Estimate for difference: -0, % 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 PT AKBW ,3 27,1 4,9 P.T AHWB ,00 8,70 2,2 Difference = mu (PT AKBW) - mu (P.T AHWB) Estimate for difference: 79, % CI for difference: (68,3071; 90,2929) T-Test of difference = 0 (vs not =): T-Value = 14,60 P-Value = 0,000 DF = 38

25 103 Two-sample T for TJ AKBW vs T. J AHWB 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, % 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 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, % 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 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, % CI for difference: (0,519072; 1,300928) T-Test of difference = 0 (vs not =): T-Value = 4,71 P-Value = 0,000 DF = 38

26 104 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 BB AKBNGA BB AHNGAB ,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 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, % 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 PB AKBNGA ,16 8,64 1,6 P. B AHNGAB ,18 1,72 0,52 Difference = mu (PB AKBNGA) - mu (P. B AHNGAB) Estimate for difference: 22, % 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 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, % CI for difference: (10,9422; 16,9185) T-Test of difference = 0 (vs not =): T-Value = 9,45 P-Value = 0,000 DF = 37

27 105 Two-sample T for LC AKBNGA vs L.C AHNGAB 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, % 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 PS AKBNGA ,8 12,6 2,3 P.S AHNGAB ,00 6,71 2,0 Difference = mu (PS AKBNGA) - mu (P.S AHNGAB) Estimate for difference: 25, % 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 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, % 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 PE AKBNGA ,5 13,1 2,4 P.E AHNGAB ,18 5,67 1,7 Difference = mu (PE AKBNGA) - mu (P.E AHNGAB) Estimate for difference: -8, % 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 PT AKBNGA ,5 31,3 5,7 P.T AHNGAB ,9 12,4 3,7 Difference = mu (PT AKBNGA) - mu (P.T AHNGAB) Estimate for difference: 63, % CI for difference: (49,7275; 77,3876) T-Test of difference = 0 (vs not =): T-Value = 9,30 P-Value = 0,000 DF = 38

28 106 Two-sample T for TJ AKBNGA vs T. J AHNGAB 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, % 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 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, % 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 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, % CI for difference: (0,377345; 1,042049) T-Test of difference = 0 (vs not =): T-Value = 4,33 P-Value = 0,000 DF = 36

29 107 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

30 108 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

31 109 Lampiran 11. Analisis Komponen Utama ayam kampung jantan di Watutela dan Ngatabaru Eigenanalysis of the Covariance Matrix Eigenvalue 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

32 110 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