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

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Alikodra HS. 1990. Pengelolaan Satwa Liar Jilid I. Bogor: Departemen Pendidikan

dan Kebudayaan Direktorat Jendral Pendidikan Tinggi Pusat Antar Universitas

Ilmu Hayat IPB

Anonim. 1985. Strategi Konservasi alam: Strategi Konservasi Alam Indonesia dan

Strategi Konservasi alam Sedunia. Jakarta: Kantor Mentri Negara KLH.

Badan Pusat Statistik 2005. Kabupaten Donggala dalam Angka. Donggala:

Kerjasama BAPPEDA dengan BPS Kabupaten Donggala.

Badan Pusat Statistik 2004a. Kecamatan Palu Timur dalam Angka. Palu:

Kerjasama BAPPEDA dengan BPS Kota Palu.

______________. 2004b. Kecamatan Sigi Biromaru dalam Angka.

Donggala: Kerjasama BAPPEDA dengan BPS Kabupaten Donggala

Buntaran LH. 1984. Wassergeflugelhaltung in Indonesia und Karyotypanalysen von

Anserinae und Anatinae. [Dissertation]. Giessen.

Burton R. 1975. How Bird Live. London: Elsivierphaidon.

Craig JV. 1981. Domestic Animal Behavior : Causs and Implication for Animal Care

and Management. New Jersey: Prentice Hall, Inc.

Damerow G. 1995. A Guide to Raising Chickens. Vermont: Storey Publishing

Book.

Delacour J. 1977. Pheasants of the word. Second edition. England: World Pheasant

Association and Sarga.

Ensminger ME. 1992. Poultry Science. Danville, Illinois: Interstate Publishers In

c.

Everitt BS and G Dunn. 1991. Applied Multivariate Data Analysis. London:

Edward Arnold.

Fumihito A at al. 1994. One subspecies of the red jungle fowl (Gallus gallus gallus)

suffices as the matriarchic ancestor of all domestic breed. Proc. Natl. Acad. Sci.

USA. 91:12505-12509.

Garpersz V. 1991. Metode Perancangan Percobaan untuk Ilmu-Ilmu Pertanian,

Teknik dan Biologi. Bandung: Armico,

(2)

Gautier Z. 2002. "Gallus gallus". Animal Diversity Web. http://

animaldiversity.ummz.umich.edu/site/accounts/information

/Gallus_gallus.html. [February 24, 2004].

Grzimek

,

s HCB. 1972 . Animal Encyclopedia, Vol 8; Bird II Van Nostrand Rein

Hold co, New York. p 49.

Hafez ES. 1969. Animal Growth and Nutrition. Philadelphia: Lea & Febiger.

Hayashi Y, Otsika J, Nishida TT and Martojo H. 1982. Multivariate cranlometrics

of wild banteng, bos banteng and five types of native cattle in Eastern Asia. In:

The origin and Phylogeny of Indonesia Native Livestock. Investigation on the

Cattle, Fowl and Their Wild Forms. III: 19-30.

Hutt FB. 1949. Genetics of the Fowl. McGraw-Hill Book Company, Inc. New York.

Toronto: London

Jull MA. 1951. Poultry Husbandry. 3

rd

Ed. New York: McGraw Hill Book Company.

Kingston DJ. 1979. Peranan Ayam Berkeliaran di Indonesia. Seminar Ilmu dan

Industri Perunggasan II. Ciawi Bogor.

Lasley JF. 1978. Genetics of Livestock Improvement. 3

rd

Ed. Prentice-Hall of India

Private Limitted. New Delhi-110001.

Limburg P. 1975. Chickens, Chickens, Chickens.. New York: Thomas Nelson Inc.

Mansjoer SS. 1985. Pengkajian Sifat-sifat Produksi Ayam Kampung serta

Persilangan dengan Ayam Rhode Island Red.[disertasi]. Bogor: Program

Pascasarjana, Institut Pertanian Bogor.

Mansjoer I, Mansjoer SS, Sayuthi D. 1989. Studi banding sifat-sifat biologis

ayam Kampung, ayam Pelung dan ayam Bangkok [laporan Penelitian]. Bogor:

Institut Pertanian Bogor

Mansjoer SS. 1990. Ayam Hutan di Indonesia. Disampaikan pada Seminar Sehari

dalam Rangka Simposium dan Pameran Nasional Ayam Bekisar di Universitas

Erlangga. Surabaya. 20 Oktober 1990.

Mansjoer SS at al. 1996. Studi karakteristik dan sifat-sifat genetik melalui

polimorfisme protein pada ayam Sentul, Pelung dan Kampung. Bogor: Laporan

Penelitian ARMP-Project, Kerjasama IPB-Balitnak.

(3)

Mulyono RH, Pangestu RB. 1996. Analisis statistik ukuran-ukuran tubuh dan

analisis karakter-karakter genetik eksternal pada ayam Kampung, Pelung dan

Kedu. Seminar Hasil-hasil Penelitian Institut Pertanian Bogor. Institut

Pertanian Bogor. Bogor. Hal: 17-21.

Murad S. 1977. Sistematika Vertebrata. Bandung: Fakultas Ilmu Pasti dan

Pengetahuan Alam UNPAD.

Nei M. 1987. Molecular Evolutionary Genetics. Colombia University Press, New

York. 512 P

Nishida T, Nozawa K, Kondo K, Mansjoer SS and Martojo H. 1980.

Morphological and genetical studies in the Indonesian native fowl. The Origin

and Phylogeny of Indonesian Native Livestock. 1:47-70.

Nishida T, Hayashi Y, Hashiguchi T, Mansjoer SS. 1982. Distribution and

identification of jungle fowl in Indonesia. The Origin and Phylogeny of

Indonesian Native Livestock. Part III: 85-95. Report by The Research Group of

Overseas Scientific Survey.

Noor RR. 1996. Genetika Ternak. Jakarta: Penebar Swadaya

North MD. 1978. Commercial Chicken Production Manual. 2

nd

Ed. AVI-Publiching

Co. Westport, Connecticut.

North OM., Bell DD. 1990. Commercial Chicken Production Manual. 4

th

Ed.

Westport, Connecticut: The Avian Publishing Company, Inc.

Ponnampalam A. 2000. Words and wings, Red Jungle Fowl deserves respect and

appreciation. http://ptg.djnr.com/ccroot/asp/publib/story.asp. [July 28, 2000].

Rostikawati RT. 1995. Studi banding morfologi, kariotipe dan pola protein ayam

hutan merah (Gallus gallus) dan ayam hutan hijau (Gallus varius) [tesis].

Bogor: Program Pascasarjana, Institut Pertanian Bogor.

Sartika T. 2000. Studi keragaman fenotipe dan genotipe ayam kampung (Gallus gallus domesticus) pada populasi dasar seleksi [Tesis]. Bogor:

Program Pascasarjana, Institut Pertanian Bogor.

Soeratmo FG. 1979. Prinsip Dasar Tingkah Laku Satwa Liar. Bogor: Fakultas

Kehutanan IPB.

Somes RG 1988. International Registery of Poultry Genetic Stocks. Bulletin

Document No. 476. Storrs Agricultural Experiment Station, The University of

Connecticut 06268

(4)

Stanfield WD. 1983. Schaum’s Outline of Theory and Problems of Genetics. New

York: Mc.Graw-Hill, Inc.

Steel RGD dan Torrie JH. 1995. Prinsip dan Prosedur Statistik Suatu Pendekatan

Biometrik. Jakarta: PT Gramedia.

Tisdell C. 1999. Biodiversity Conservation and Sustainable Development Principle

and Parctises with Asian Examples. Cheltenham, UK: Northampton, MA,

USA.

Tadjodja D. 2000. Morfologi ayam hutan merah (Gallus gallus L.) di Taman

Nasional Lore Lindu [skripsi]. Palu: Fakutas Pertanian Universitas Tadulako.

Wardana. 2004. Peta Hasil Penelitian Pengukuran Batas dan Pemetaan Areal secara

Digital dengan Sistem Informasi Geografis Taman Hutan Raya Palu. Palu:

Fakultas Pertanian,. Universitas Tadulako.

Warwick EJ, Astuti JM, dan Hardjosubroto W. 1995. Pemuliaan Ternak. Edisi

kelima. Yogyakarta : Gadjah Mada University Press.

Widada, Muliyati S, dan Kobayashi H. 2003. Sekilas tentang Konservasi Sumberdaya

Alam Hayati dan Ekosistemnya. Bogor: Biodiversity Conservation Project.

Williamson G. dan Payne WJA. 1993. Pengantar Peternakan di Daerah Tropis.

Yogyakarta: Gadjah Mada University Press.

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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

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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

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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

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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

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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

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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

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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 1,4

Difference = 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 1,8

Difference = 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 1,4

Difference = 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

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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 0,83

Difference = 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 0,85

Difference = 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

SE

N 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

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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 1,7

Difference = 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 0,41

Difference = 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 Mean

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: -0,002529

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

(14)

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

(15)

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

(16)

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

(17)

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

(18)

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

(19)

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

(20)

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

(21)

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

(22)

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

(23)

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

(24)

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

(25)

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

(26)

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

(27)

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

(28)

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

(29)

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)

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)

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

(32)

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

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