Lampiran hitungan baru.docx

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Lampiran 3. Hasil analisis proksimat pakan setiap perlakuanNoKodeKadar air (%)Kadar abu (%)Kadar lemak (%)Kadar protein (%)Kadar karbohidrat (%)

1AR 17,1530,408,317,138, 94

2AR 26,2230,448,615,141,17

3AR 35,8431,258,115,640,56

4AR 46,6418,2515,817,246,62

5AR 55,6315,9011,5616,052,46

Sumber : Laboratorium Teknologi Hasil Pertanian Universitas Sriwijaya Indralaya.

Lampiran 4. Data kelangsungan hidup benih ikan gabus a. Data kelangsungan hidup (%) benih ikan gabus selama 30 hari pemeliharaanPerlakuanUlanganHari ke-0(Ekor)Hari ke-30(Ekor)Tingkat Kelangsungan Hidup(%)

AR 1110770

210660

310990

Jumlah 3022220

Rata-rata 107,370,33

AR 2110990

210990

310330

Jumlah 3021210

Rata-rata 10770

AR 3110990

210880

310660

Jumlah 3023230

Rata-rata 107,6676,66

AR 411010100

210990

310770

Jumlah 3026260

Rata-rata 108,6686,66

AR 5110660

210660

310330

Jumlah 3018180

Rata-rata 10550

Lampiran 4. lanjutanb. Perhitungan analisa sidik ragam kelangsungan hidup benih ikan gabusKelangsungan hidup (%) benih ikan gabus

U IU IIU IIIJumlahRata-rata

AR I70609022073,3

AR 290903021070

AR 390806023076,7

AR 4100907026086,7

AR 560603015050

Jumlah4103802801070214

Rata-rata42,8

FK = = 10702/3x5 =1.144.900 = 76.326,67

JK total= (702)+(902)+(902)..(602)+(702)+(302) - 76.326,67 = 82.900 - 76.326,67

= 6.573,33

JK Perlakuan= = -76.326,67= 78.500 76.326,67= 2.173,33

JK galat= JK total JK perlakuan= 6,573,33 2.173,33 = 4.400SKDBJKKTF hitung5%

Perlakuan42.173,33543,330,99*3,11

Galat84.400550

Total126.573,33

Keterangan * : Tidak berpengaruh nyataLampiran 5. Data pertumbuhan bobot mutlak (g) benih ikan gabus

a. Data pertumbuhan bobot mutlak (g) benih ikan gabus selama 30 hari pemeliharaanPerlakuanUlanganhari ke 0 (g)hari ke 30 (g)Pertumbuhan bobot mutlak (g) benih ikan gabus

17,9911,393,4

AR 127,5114,466,95

36,239,212,98

Jumlah23,7335,0613,33

Rata-rata7,9111,694,44

111,0214,133,11

AR 2214,9215,20,28

37,96157,04

Jumlah33,944,3310,43

Rata-rata11,314,783,48

110,5512,161,61

AR 329,8314,234,40

39,8414,474,63

Jumlah30,2240,8610,64

Rata-rata10,113,623,55

112,8113,941,13

AR 429,6513,153,5

38,2112,484,27

Jumlah306739,578,9

Rata-rata10,2213,192,97

18,2211,313,09

AR 527,8212,644,82

39,0416,016,97

Jumlah25,0839,9614,88

Rata-rata8,3613,324,96

Lampiran 5. lanjutanb. Perhitungan analisa sidik ragam pertumbuhan bobot mutlak (g) benih ikan gabusPertumbuhan bobot mutlak (g) benih ikan gabus

PerlakuanU IU IIU IIIjumlahRata-rata

AR 13,46,952,9813,334,44

AR 23,110,287,0410,433,48

AR 31,614,44,6310,643,55

AR 41,133,54,278,92,97

AR 53,094,826,9714,884.96

Jumlah12,3419,9525,8958,1819,39

Rata-rata3,88

FK = = 58,182/3x5 = 3.384,9122/15 = 225,66

JK total= (3,4)2+(3,11)2+(1,61)2..(4,63)2+(4,27)2+(6,97)2 225,66= 284,57 - 225,66= 58,90437

JK Perlakuan= = (13,332 + 10,432 + 10,642 + 8,92 + 14,882 / 3) 225,66= 233,44 225,66= 7,78

JK galat= JK total JK perlakuan= 58,90 7,78 = 1.669,19SKDBJKKTF hitungF tabel 5 %

Perlakuan47,781,940,30*3,11

Galat851,136,39

Total1258,90

Keterangan * : Tidak berpengaruh nyataLampiran 6. Data pertumbuhan panjang mutlak (cm) benih ikan gabus a. Data pertumbuhan panjang mutlak (cm) benih ikan gabus selama 30 hari pemeliharaanPerlakuanUlanganHari ke 0 (cm)Hari ke 30 (cm)Pertumbuhan panjang mutlak (cm) benih ikan gabus

111,612,61

AR 1211,513,11,6

311,111,30,2

Jumlah34,2372,8

Rata-rata11,412,30,9

112,813,20,4

AR 2212,312,80,5

311,612,91,3

Jumlah36,738,92,2


112,212,70,5

AR 3211,511,70,2

312,112,70,6

Jumlah35,837,11,3


11212,60,6

AR 4212,112,60,5

311,612,10,5

Jumlah35,737,31,6


110,811,81

AR 5211,311,80,5

312,313,51,2

Jumlah34,437,12,7


Lampiran 6. Lanjutan b.Perhitungan analisa sidik ragam pertumbuhan panjang mutlak (cm) benih ikan gabusPertumbuhan panjang mutlak (cm) benih ikan gabus

PerlakuanU IU IIU IIIJumlahRata-rata

AR 111,60,22,80,9

AR 20,40,51,32,20,7

AR 30,50,20,61,30,43

AR 40,60,50,51,60,5

AR 510,51,22,70,9

Jumlah3,53,33,810,63,5

Rata-rata0,7

FK = = 10,62/5x3 = 112,36/15 = 7,49

JK total= (1)2+(0,4)2+(0,5)2..(0,6)2+(0,5)2+(1,2)2 7,49= 9,9 - 7,49= 2,41

JK Perlakuan= = (2,82 + 2,22 + 1,32 + 1,62 + 2,72/3) 7,49= 8,07 7,49= 0,58

JK galat= JK total JK perlakuan= 2,40 0,58 = 1,83SKDBJKKTF hitung5%

Perlakuan40,580,150,64*3,11

Galat81,830,23

Total122,41

Keterangan *: Tidak berpengaruh nyataLampiran 7. Data efisiensi pakan (%) benih ikan gabus

a. Data efisiensi pakan (%) benih ikan gabus selama 30 hari pemeliharaanPerlakuanUlanganBobot ikan (g) awalBobot ikan (g) akhirD*Jumlah pakan dikonsumsiEfisiensi pakan (%) beniih ikan gabus

179,9979,7317,3124,8513,65

AR 1279,5987,8149,72124,9249,99

362,2382,9210,3125,2324,71

Jumlah221,81250,4677,3237588,35

Rata-rata73,9483,4925,7712529,45

1110,22127,189,5122,1121,66

AR 22149,24136,418,4121,134,59

379,634565,06119,7630,74

Jumlah339,09308,5892,9936357,01

Rata-rata113,03102,8630,9912118,97

1105,46118,7410,83121,612,17

AR 3298,27113,8322,73119,532,04

398,3686,836,02120,920,23

Jumlah302,09319,3769.5836264,45

Rata-rata100,7106,4623,19120,721,47

1128,13139,37154,017,30

AR 4296,45118,336,48153,8718,43

382,0687,3913,93154,1212,50

Jumlah306,64345,0920,4146238,23

Rata-rata102,21115,036,8015412,74

182,1872,8419,46151,5226,31

AR 5278,1675,8330,89152,818,69

390,3790,3760,76153,6811,99

Jumlah250,71239,04111,1145857,01

Rata-rata83,5779,6837,04152,718,97

Keterangan *: Bobot ikan (g) mati

Lampiran 7. Lanjutan b. Perhitungan analisa sidik ragam efisiensi pakan benih ikan gabusEfisiensi pakan (%) benih ikan gabus

PerlakuanU IU IIU IIIjumlahRata-rata

AR 113,6549,9924,7188,3529,45

AR 221,674,5930,7557,0118,97

AR 312,1832,0420,2364,4521,47

AR 47,318,4312,538,2312,74

AR 526,3218,711,9957,0118,97

Jumlah81,12123,75100,18305,05101,6

Rata-rata20,32

FK = = 305,052/5x3 = 93.055,5/15

= 6.203,7

JK total= (13,65)2+(21,67)2+(12,18)2..(20,23)2+(12,5)2+(11,99)2 6.203,7= 8.051,69 - 6.203,7= 1.847,99

JK Perlakuan=

= (88,352+ 57,012 + 64,452 + 38,232 + 57,012/3) - 6.203,7= 6.640,45 6.203,7= 436,75

JK galat= JK total JK perlakuan= 1.847,99 436,75= 1.411,24

Lampiran 7. Lanjutan. SKDBJKKTF hitungF tabel 5%

Perlakuan4436,75109,190,62*3,11

Galat81411,24176,41

Total121847,99

Keterangan: * = Tidak berpengaruh nyata.

Lampiran 8. Uji NormalitasHipotesisHo = Data berdistribusi normalHi = Data tidak berdistribusi normal Kelangsungan hidup. U1DataXiXi X(xi x)2Z = xi-x/sdTable ZF(x)S(x)(F(x)-S(x))

6060-20400-1,06-0,35540,14460,20,0554

9060-20400-1,06-0,35540,14460,40,2554

9090101000,530,20190,70190,60,1019

10090101000,530,20190,70190,80,0981

60100204001,060,35540,855410,1446

4001400

X= 400/5 = 80

Nilai max (F(x)-S(x)) = 0,2554=0,05 n = 5 = 0,337Nilai hitung < nilai table., Ho diterimaData berdistribusi normal Lampiran 8. Lanjutan Uji NormalitasHipotesisHo = Data berdistribusi normalHi = Data tidak berdistribusi normal Kelangsungan hidup. U2DataXiXi X(xi x)2Z = xi-x/sdTable ZF(x)S(x)(F(x)-S(x))

6060-16256-1,05-0,35310,14690,20,0531

9060-16256-1,05-0,35310,14690,40,2531

80804160,260,10260,60260,60,0026

9090141960,920,32120,82120,80,0212

6090141960,920,32120,821210,1788

380920

X=380/5= 76

Nilai max (F(x)-S(x)) = 0,2531=0,05 n = 5 = 0,337Nilai hitung < nilai table., Ho diterimaData berdistribusi normalLampiran 8. Lanjutan Uji NormalitasHipotesisHo = Data berdistribusi normalHi = Data tidak berdistribusi normal Kelangsungan hidup. U3DataXiXi X(xi x)2Z = xi-x/sdTable ZF(x)S(x)(F(x)-S(x))

3030-26676-0,99-0,33890,16110,20,0389

3030-26676-0,99-0,33890,16110,40,0389

90604160,150,05960,55960,60,0404

6070141960,540,20540,70540,80,0946

7070341.1561,300,40320,903210,0968

2802.720

X= 280/5 = 56

Nilai max (F(x)-S(x)) = 0,0968=0,05 n = 5 = 0,337Nilai hitung < nilai table., Ho diterimaData berdistribusi normal Lampiran 8. Lanjutan Kelangsungan hidup (%) benih ikan gabus

U IU IIU III

AR I606090

AR 2909030

AR 3908060

AR 41009070

AR 5606030

Jumlah400380280

n555

x807656

Lampiran 8. lanjutan Uji Homogenitas1. Ho = Varians data homogen2. Hi = Varians data tidak homogenStatistikKelompok perlakuan

123

X (rata2)807656

S.deviasi (s)18,715,226,1

Varians (s)2349,69231,04681,21

n555

Langkah perhitunganS21= 349,69dk= 5-1=4S22= 231,04dk= 5-1=4S23= 681,21dk=5-1=4Table penolong uji barletSampelDk1/dkSi2dk.Si2Log Si2(dk) log Si2

K140,25349,61398,762,5410,16

K240,25231,04924,162,369,44

K340,25681,212724,842,8311,32

125047,7630,92

Menghitung varians gabunganS2 = (dk.Si2)/ dkS2 = 5047,76/12S2 = 420,64Menghitung nilai BB = (dk) (log S2) = 12 (2,62) = 31, 44Harga X2 (chi-kuadrat)X2 = (ln 10) (B dk log Si2) = 2,303 x (31,44- 30,92) = 2,303 x 0,52 = 1,19756= 5 % = 0,05X2 dk = seluruh (3-1)X2 0,05 (2) = 5,99146X2 hitung = 1,19756X2 hitung < X2 0,051,19756 < 5,99146., Ho diterimaKesimpulan : Varians data homogen

Lampiran 9. Uji NormalitasHipotesisHo = Data berdistribusi normalHi = Data tidak berdistribusi normal Bobot mutlak (g). U1DataXiXi X(xi x)2Z = xi-x/sdTable ZF(x)S(x)(F(x)-S(x))

3,41,13-1,331,76-1,46-0,42790,07210,20,1279

3,111,16-0,850,72-0,93-0,32380,17620,40,2238

1,613,090,630,390,690,25490,75490,60,1549

1,133,110,650,420,710,26110,76110,80,0389

3,093,40,940,881,030,34850,848510,1515

12,344,17

X= 12,34/5 = 2,46

Nilai max (F(x)-S(x)) = 0,2238=0,05 n = 5 = 0,337Nilai hitung < nilai table., Ho diterimaData berdistribusi normalLampiran 9. Lanjutan Uji NormalitasHipotesisHo = Data berdistribusi normalHi = Data tidak berdistribusi normal Bobot mutlak (g). U2DataXiXi - X(xi x)2Z = xi-x/sdTable ZF(x)S(x)(F(x)-S(x))

6,950,28-3,7113,76-1,52-0,43570,06430,20,1357

0,283,5-0,490,24-0,20-0,07930,42070,40,0207

4,44,40,410,170,160,06360,56360,60,0364

3,54,820,830,690,340,13310,63310,80,1669

4,826,952,968,761,210,38690,886910,1132

19,9523,62

X= 19,95/5 = 3,99

Nilai max (F(x)-S(x)) = 0,1669=0,05 n = 5 = 0,337Nilai hitung < nilai table., Ho diterimaData berdistribusi normalLampiran 9. Lanjutan Uji NormalitasHipotesisHo = Data berdistribusi normalHi = Data tidak berdistribusi normal Bobot mutlak. U3DataXiXi - X(xi x)2Z = xi-x/sdTable ZF(x)S(x)(F(x)-S(x))

2,982,98-2,194,79-1,23-0,39070,10930,20,0907

7,044,27-0,90,81-0,50-0,19150,30850,40,0915

4,634,63-0,540,29-0,30-1,11790,38210,60,2179

4,276,971,83,241,010,34380,84380,80,0438

6,977,041,873,491,050,35310,853110,1562

25,8912,62

X= 25,89/5 = 5,17

Nilai max (F(x)-S(x)) = 0,1562=0,05 n = 5 = 0,337Nilai hitung < nilai table., Ho diterimaData berdistribusi normal Lampiran 9. lanjutanPertumbuhan bobot mutlak (g) benih ikan gabus

PerlakuanU IU IIU III

AR 13,46,952,98

AR 23,110,287,04

AR 31,614,44,63

AR 41,133,54,27

AR 53,094,826,97

Jumlah12,3419,9525,89

n555

x2,463,995,17

Lampiran 9. lanjutanUji Homogenitas1. Ho = Varians data homogen2. Hi = Varians data tidak homogenStatistikKelompok perlakuan

123

X (rata2)2,463,995,17

S.deviasi (s)0,912,431,77

Varians (s)20,825,903,13

n555

Langkah perhitunganS21= 0,82dk= 5-1=4S22= 5,90dk= 5-1=4S23= 3,13dk=5-1=4

Table penolong uji barletSampelDk1/dkSi2dk.Si2Log Si2(dk) log Si2

K140,250,823,28-0,08-0,32

K240,255,9023,60,773,08

K340,253,1312,520,491,96

124,72

Menghitung varians gabunganS2 = (dk.Si2)/ dkS2 = 38,8/12S2 = 3,23

Menghitung nilai BB = (dk) (log S2) = 12 (0,50) = 6X2 (chi-kuadrat)X2 = (ln 10) (B dk log Si2) = 2,303 x (6 4,72) = 2,94= 5 % = 0,05= X2 dk = seluruh (3-1)X2 0,05 (2) = 5,99146X2 hitung = 2,94X2 hitung < X2 0,052,94 < 5,99146., Ho diterimaKesimpulan : Varians data homogen

Lampiran 10. Uji NormalitasHipotesisHo = Data berdistribusi normalHi = Data tidak berdistribusi normal Panjang mutlak (g). U1DataXiXi X(xi x)2Z = xi-x/sdTable ZF(x)S(x)(F(x)-S(x))

10,4-0,30,09-1,07-0,35770,14230,20,0577

0,40,5-0,20,04-0,71-0,26110,23890,40,1611

0,50,6-0,10,01-0,35-0,13680,36320,60,2368

0,610,30,091,070,35770,85770,80,0577

110,30,091,070,35770,857710,1423

3,50,32

X= 3,5/5 = 0,7

Nilai max (F(x)-S(x)) = 0,2368=0,05 n = 5 = 0,337Nilai hitung < nilai table., Ho diterimaData berdistribusi normalLampiran 10. Lanjutan Uji NormalitasHipotesisHo = Data berdistribusi normalHi = Data tidak berdistribusi normal Panjang mutlak (g). U2DataXiXi X(xi x)2Z = xi-x/sdTable ZF(x)S(x)(F(x)-S(x))

1,60,2-0,460,21-0,85-0,30320,19770,20,2023

0,50,5-0,160,03-0,29-0,07530,42470,40,0247

0,20,5-0,160,03-0,29-0,07530,42470,60,0247

0,50,5-0,160,03-0,29-0,07530,42470,80,0247

0,51,60,940,881,620,44740,947410,0526

3,31,18

X= 3,3/5 = 0,66

Nilai max (F(x)-S(x)) = 0,2023=0,05 n = 5 = 0,337Nilai hitung < nilai table., Ho diterimaData berdistribusi normalLampiran 10. Lanjutan Uji NormalitasHipotesisHo = Data berdistribusi normalHi = Data tidak berdistribusi normal Panjang mutlak. U3DataXiXi X(xi x)2Z = xi-x/sdTable ZF(x)S(x)(F(x)-S(x))

0,20,2-0,560,31-1,19-0,38300,1170,20,083

1,30,5-0,260,07-0,55-0,20880,29120,40,1088

0,60,6-0,160,03-0,34-0,13310,13310,60,2331

0,51,20,440,190,940,32640,32640,80,0264

1,21,30,540,291,150,37490,374910,1251

3,80,89

X=0,89/5= 0,76

Nilai max (F(x)-S(x)) = 0,1088=0,05 n = 5 = 0,337Nilai hitung < nilai table., Ho diterimaData berdistribusi normal

Lampiran 10. lanjutanPertumbuhan panjang mutlak (cm) benih ikan gabus


AR 111,60,2

AR 20,40,51,3

AR 30,50,20,6

AR 40,60,50,5

AR 510,51,2

Jumlah3,53,33,8

n555

x0,70,660,76

Lampiran 10. lanjutanUji Homogenitas1. Ho = Varians data homogen2. Hi = Varians data tidak homogenStatistikKelompok perlakuan

123

X (rata2)0,70,660,76

S.deviasi (s)0,280,540,47

Varians (s)20,080,290,22

n555

Langkah perhitunganS21= 0,08dk= 5-1=4S22= 0,29dk= 5-1=4S23= 0,22dk=5-1=4Table penolong uji barletSampeldk1/dkSi2dk.Si2Log Si2(dk) log Si2

K140,250,080,32-1,09-4,36

K240,250,291,16-0,53-2,12

K340,250,220,88-0,66-2,64

122,36-9,12

Menghitung varians gabunganS2 = (dk.Si2)/ dkS2 = 2,36/12S2 = 0,2Menghitung nilai BB = (dk) (log S2) = 12 x (-9,12) = - 109,44X2 (chi-kuadrat)X2 = (ln 10) (B dk log Si2) = 2,303 x (-109,44 (- 9,12) = -331,36 = 5 % = 0,05 X2 dk = seluruh (3-1)X2 0,05 (2) = 5,99146X2 hitung = -331,36X2 hitung < X2 0,05-331,36 < 5,99146., Ho diterimaKesimpulan : Varians data homogen

Lampiran 11. uji normalitas Uji NormalitasHipotesisHo = Data berdistribusi normalHi = Data tidak berdistribusi normal Efisiensi pakan (%). U1DataxiXi X(xi x)2Z = xi-x/sdTable ZF(x)S(x)(F(x)-S(x))

13,657,3-8,9279,56-1,16-0,37700,1230,20,077

21,6712,18-4,0416,32-0,52-0,19850,30150,40,0985

12,1813,65-2,576,60-0,33-0,12930,37070,60,0389

7,321,675,4529,700,710,26110,76110,80,0389

26,3226,3210,1102,011,320,40660,906610,0934

81,12234,19

X=81,12/5= 16,22

Nilai max (F(x)-S(x)) = 0,2293=0,05 n = 5 = 0,337Nilai hitung < nilai table., Ho diterimaData berdistribusi normalLampiran 11. Lanjutan Uji NormalitasHipotesisHo = Data berdistribusi normalHi = Data tidak berdistribusi normal Efisiensi pakan (%). U2DataXiXi X(xi x)2Z = xi-x/sdTable ZF(x)S(x)(F(x)-S(x))

49,994,59-20,16406,42-1,17-0,37900,1210,20,079

4,5918,43-6,3239,94-0,36-0,14060,35940,40,0406

32,0418,7-6,0536,60-0,35-0,13680,36320,60,2368

18,4332,047,2953,140,40-0,16280,66280,80,1372

18,749,9925,24637,051,470,42920,929210,0708

123,751173,15

X= 123,75/5 = 24,75

Nilai max (F(x)-S(x)) = 0,2368=0,05 n = 5 = 0,337Nilai hitung < nilai table., Ho diterimaData berdistribusi normalLampiran 11. Lanjutan Uji NormalitasHipotesisHo = Data berdistribusi normalHi = Data tidak berdistribusi normal Efisiensi pakan (%). U3DataXiXi X(xi x)2Z = xi-x/sdTable ZF(x)S(x)(F(x)-S(x))

24,7111,99-8,0564,80-1,64-0,44950,05050,20,1495

30,7512,5-7,5456,85-0,97-0,33400,1660,40,234

20,2320,250,210,040,030,01200,51200,60,088

12,524,714,6721,800,600,22570,72570,80,0743

11,9930,7510,71114,701,380,41670,916710,0833

100,18239,19

X= 100,18/5 = 20,04

Nilai max (F(x)-S(x)) = 0,234=0,05 n = 5 = 0,337Nilai hitung < nilai table., Ho diterimaData berdistribusi normal Lampiran 11. Lanjutan Efisiensi pakan (%) benih ikan gabus


AR 113,6549,9924,71

AR 221,674,5930,75

AR 312,1832,0420,23

AR 47,318,4312,5

AR 526,3218,711,99

Jumlah81,12123,75100,18

n555

x807656

Lampiran 11. Lanjutan Uji Homogenitas1. Ho = Varians data homogen 2. Hi = Varians data tidak homogenStatistikKelompok perlakuan

123

X (rata2)16,2224,7520,04

S.deviasi (s)7,6517,127,73

Varians (s)258,22293,0959,75

N555

Langkah perhitunganS21= 58,22dk= 5-1=4S22= 293,09dk= 5-1=4S23= 59,75dk=5-1=4Table penolong uji barletSampeldk1/dkSi2dk.Si2Log Si2(dk) log Si2

K140,2558,22232,881,767,04

K240,25293,091172,362,469,84

K340,2559,752391,777,08

121644,2423,96

Menghitung varians gabunganS2 = (dk.Si2)/ dkS2 = 1644,24/12S2 = 137,02Menghitung nilai BB = (dk) (log S2) = 12 x 2,13 = 25,56X2 (chi-kuadrat)X2 = (ln 10) (B dk log Si2) = 2,303 x (25,56 23,93) = 3,68= 5 % = 0,05 X2 dk = seluruh (3-1)X2 0,05 (2) = 5,99146X2 hitung = 3,68X2 hitung < X2 0,053,68 < 5,99146., Ho diterimaKesimpulan : Varians data homogen

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