Univariate Analysis of Variance

  

Lampiran : Uji ANAVA jumlah tubuh buah dalam satu rumpun jamur tiram.

NPar Tests One-Sample Kolmogorov-Smirnov Test

  Unstandardized Residual

  N

  27 Normal Parameters

  a,b

  Mean .0000000 Std. Deviation 1.63710536

  Most Extreme Differences Absolute .132 Positive .132 Negative -.079

  Kolmogorov-Smirnov Z .688 Asymp. Sig. (2-tailed) .731 a. Test distribution is Normal.

  b. Calculated from data.

Univariate Analysis of Variance Between-Subjects Factors

  9

  9 Levene's Test of Equality of Error Variances

  N frekuensi

  a. Design: Intercept + frekuensi + konsentrasi + frekuensi * konsentrasi ADLN Perpustakaan Universitas Airlangga

  8 18 .142 Tests the null hypothesis that the error variance of the dependent variable is equal across groups.

  1.807

  Dependent Variable:respon F df1 df2 Sig.

  a

  3.00

  2.00

  9

  2.00

  9

  1.00

  9 konsentrasi

  1.00

  9

  3.00

  Tests of Between-Subjects Effects

  Dependent Variable:respon Source Type III Sum of Squares df Mean Square F Sig.

  Corrected Model 119.034

  

a

  8 14.879 28.614 .000 Intercept 2800.926 1 2800.926 5386.396 .000 frekuensi 7.576

  2 3.788 7.285 .005 konsentrasi 69.816 2 34.908 67.131 .000 frekuensi * konsentrasi 41.641 4 10.410 20.020 .000

  Error 9.360 18 .520 Total 2929.320

  27 Corrected Total 128.394

  26

  a. R Squared = .927 (Adjusted R Squared = .895)

  ADLN Perpustakaan Universitas Airlangga

Post Hoc Tests konsentrasi Homogeneous Subsets respon

  konsentrasi N

  a,b

  1

  2 dimensi on1 K

  3

  9 7.9111 K

  2

  9 11.3111 K

  1

  9 11.3333 Sig. 1.000 .949

  Means for groups in homogeneous subsets are displayed. Based on observed means. The error term is Mean Square(Error) = .520.

  a. Uses Harmonic Mean Sample Size = 9.000.

  b. Alpha = .05.

  Duncan

  Subset

  frekuensi Homogeneous Subsets respon

  1 I

  2

  3 6.5333 K

  2 I

  1

  3 10.4000 K

  1 I

  3

  3 10.8000 10.8000 K

  3 I

  1

  3 11.0667 11.0667 K

  1

  3 6.1333 K

  3 11.3333 11.3333 K

  1 I

  2

  3 11.4667 11.4667 K

  2 I

  1

  3 11.5333 11.5333 K

  2 I

  3

  3 12.0000 Sig. .482 .086 .071 Means for groups in homogeneous subsets are displayed.

  a. Uses Harmonic Mean Sample Size = 3.000.

  3 I

  3

  Duncan

  Means for groups in homogeneous subsets are displayed. Based on observed means. The error term is Mean Square(Error) = .520.

  a,b

  frekuensi N

  Subset

  1

  2 dimensi on1 K

  3

  9 9.7778 K

  2

  9 9.8444 K

  1

  9 10.9333 Sig. .847 1.000

  a. Uses Harmonic Mean Sample Size = 9.000.

  3 I

  b. Alpha = .05.

  tubuhbuah

  Duncan

  a,b

  perlakuan N

  Subset for alpha = 0.05

  1

  2

  3

  dimensi on1

  K

  ADLN Perpustakaan Universitas Airlangga

  Lampiran : Uji ANAVA berat basah jamur tiram

NPar Tests One-Sample Kolmogorov-Smirnov Test

  Unstandardized Residual

  N

  27 Normal Parameters

  a,b

  Mean .0000000 Std. Deviation 12.08222489

  Most Extreme Differences Absolute .175 Positive .175 Negative -.154

  Kolmogorov-Smirnov Z .909 Asymp. Sig. (2-tailed) .380 a. Test distribution is Normal.

  b. Calculated from data.

  ADLN Perpustakaan Universitas Airlangga

Univariate Analysis of Variance Between-Subjects Factors

  2.00

  9 Levene's Test of Equality of Error Variances

  N frekuensi

  1.00

  8 18 .114 Tests the null hypothesis that the error variance of the dependent variable is equal across groups.

  3.465

  Dependent Variable:beratbasah F df1 df2 Sig.

  a

  3.00

  9

  9

  2.00

  9

  1.00

  9 konsentrasi ADLN Perpustakaan Universitas Airlangga

  9

  3.00

  a Levene's Test of Equality of Error Variances

  Dependent Variable:beratbasah F df1 df2 Sig.

  3.465

  8 18 .114 Tests the null hypothesis that the error variance of the dependent variable is equal across groups.

  a. Design: Intercept + frekuensi + konsentrasi + frekuensi * konsentrasi

  Tests of Between-Subjects Effects

  Dependent Variable:beratbasah Source Type III Sum of Squares df Mean Square F Sig.

  

a

  Corrected Model 8715.047 8 1089.381 129.140 .000 Intercept 266356.376 1 266356.376 31574.996 .000 frekuensi 1646.697

  2 823.349 97.603 .000 konsentrasi 5574.736 2 2787.368 330.426 .000 frekuensi * konsentrasi 1493.613 4 373.403 44.265 .000

  Error 151.842 18 8.436 Total 275223.266

  27 Corrected Total 8866.889

  26

  a. R Squared = .983 (Adjusted R Squared = .975)

Post Hoc Tests konsentrasi Homogeneous Subsets beratbasah

  a,b

  Duncan konsentrasi Subset N

  1

  2 K

  3

  9 79.0133 dimensi on1 K

  1

  9 108.8889 K

  2

  9 110.0667 Sig. 1.000 .401 ADLN Perpustakaan Universitas Airlangga Means for groups in homogeneous subsets are displayed. Based on observed means. The error term is Mean Square(Error) = 8.436.

  a. Uses Harmonic Mean Sample Size = 9.000.

  b. Alpha = .05.

Frekuensi Homogeneous Subsets beratbasah

  a,b

  Duncan frekuensi Subset N

  1

  2 I

  2

  9 92.7022

  I 9 94.9778 dimensi on1

  1

  9 110.2889 Sig. .114 1.000

  Means for groups in homogeneous subsets are displayed. Based on observed means. The error term is Mean Square(Error) = 8.436.

  a. Uses Harmonic Mean Sample Size = 9.000.

  b. Alpha = .05.

  Berat_basah

  3

  2 I

  2

  3 107.1333 107.1333 K

  2 I

  3

  3 108.6667 108.6667 K

  1 I

  3 110.6667 110.6667 K

  1

  1 I

  1

  3 111.8667 111.8667 K

  2 I

  1

  3 114.4000 Sig. .607 .095 .082 .153 Means for groups in homogeneous subsets are displayed.

  a. Uses Harmonic Mean Sample Size = 3.000.

  3 104.6000 K

  3 I

  Duncan

  dimensi on1

  a,b

  perlakuan N

  Subset for alpha = 0.05

  1

  2

  3

  4

  K

  3 104.1333 K

  3 I

  3

  3 65.6000 K

  3 I

  2

  3 66.8400 K

  1 I

  2

  ADLN Perpustakaan Universitas Airlangga

  Lampiran : Perhitungan nilai RAE (Relative Agronomic Effectiveness) berat basah jamur tiram (Pleurotus ostreatus) RAE K

  2 I

  Pupuk standart – kontrol negatif x 100%

  3 = Pupuk alternatif – kontrol negatif

  2 I

  110.13 - 99.53 x 100% = 71.69% (pupuk hayati tidak efektif) RAE K

  Pupuk standart – kontrol negatif x 100% = 107.13- 99.53

  2 = Pupuk alternatif – kontrol negatif

  2 I

  110.13 - 99.53 x 100% = 140.28% (pupuk hayati efektif) RAE K

  Pupuk standart – kontrol negatif x 100% = 114.40 - 99.53

  1 = Pupuk alternatif – kontrol negatif

  110.13 - 99.53 x 100% = 105.09% (pupuk hayati efektif) RAE K

  1 I

  Pupuk standart – kontrol negatif x 100% = 110.67- 99.53

  3 = Pupuk alternatif – kontrol negatif

  1 I

  110.13 - 99.53 x 100% = 43.39% (pupuk hayati tidak efektif) RAE K

  Pupuk standart – kontrol negatif x 100% = 104.13 - 99.53

  2 = Pupuk alternatif – kontrol negatif

  1 I

  110.13 - 99.53 x 100% = 116.41% (pupuk hayati efektif) RAE K

  Pupuk standart – kontrol negatif x 100% = 111.87- 99.53

  1 = Pupuk alternatif – kontrol negatif

  ADLN Perpustakaan Universitas Airlangga

  ADLN Perpustakaan Universitas Airlangga

  108.67 - 99.53 = x 100% = 86.22% (pupuk hayati tidak efektif) 110.13 - 99.53 Pupuk alternatif – kontrol negatif

  RAE K I = x 100%

  3

  1 Pupuk standart – kontrol negatif 104.60 - 99.53 = x 100% = 47.83% (pupuk hayati tidak efektif) 110.13 - 99.53 Pupuk alternatif – kontrol negatif

  RAE K I = x 100%

  3

  2 Pupuk standart – kontrol negatif 66.84 - 99.53 = x 100% = - 110.13-99.53 Pupuk alternatif – kontrol negatif

  RAE K I = x 100%

  3

  3 Pupuk standart – kontrol negatif 65.60 - 99.53 = x 100% = -

  110.13 - 99.53

  

Lampiran : Data jumlah mikroba penyusun pupuk hayati yang diperoleh dari

perhitungan TPC (Total Plate Count).

  Jenis Mikroba Jumlah Mikroba (CFU/mL)

  6 Rhizobium sp. 7,92.10

Azotobacter sp. 3,60.10

  6 Mikroba pelarut fosfat (Bacillus sp dan Pseudomonas sp.) 6,57.10

  6 Cellulomonas sp 9,26.10

  6 Lactobacillus plantarum 3,65.10

  6 Saccharomyces cereviceae 3,88.10

  6

  • *Kriteria pupuk hayati cari yang efektif menurut Baku Mutu Pupuk Hayati

    Balitbang-Deptan adalah jumlah masinng-masing bakteri minimal 10

  6 ADLN Perpustakaan Universitas Airlangga ADLN Perpustakaan Universitas Airlangga

  Lampiran : Media selektif untuk pertumbuhan mikroba untuk perhitungan TPC (Total Plate Count) Jenis Mikroba Nama dan Komposisi Media Indikator Positif

  Selektif Azotobacter sp. Media NFB (semi solid) Terbentuk cincin Komposisi: pelikel.

  1. Malic acid: 1 gram

  

2. KOH: 0,8 gram

  3. K HPO : 0,1 gram

  2

  4

  4. FeSO .7H O: 0,01 gram

  

4

  2

  5. MnSO .7H O: 0,002 gram

  

4

  2

  6. Bacto agar: 0,36 gram

  7. MgSO .7H O: 0,02 gram

  

4

  2

  8. NaCl: 0,004 gram

  9. CaCl2: 0,004 gram

  10. N MoO :0,002 gram

  2

  2

  11. BTB: 2 mL

  • untuk 1 liter media

  

Rhizobium sp. Media Yeast Ekstract Manitol Agar Koloni bulat,

Komposisi: warna krem,

  1. K HPO : 0,5 gram elevasi konveks

  2

  4

  2. MgSO .7H O: 0,2 gram

  

4

  2

  

3. NaCl:0,1 gram

  

4. Manitol: 10 gram

  5. Yeast ekstrak: 0,5 gram

  

6. Agar: 15 gram

  7. Congored 0,25%: 10 mL

  • untuk 1 liter media Mikroba pelarut fosfat Media Pikopskaya Koloni memiliki (Bacillus sp. dan Komposisi: zona halo

  Pseudomonas sp. )

  1. Glukosa: 10 gram

  

2. Ca PO : 5 gram

  3

  

4

3. (NH

4 )SO

4 : 0,5 gram

  

4. KCl: 0,2 gram

  5. MgSO 4 : 0,1 gram

  

6. MnSO : 0,1 gram

  

4

  

7. FeSO : 0,1 gram

  

4

  

8. Agar: 15 gram

  9. Yeast ekstrak: 0.5 gram

  • untuk 1 liter media

  

4. Agar: 10 gram

  ADLN Perpustakaan Universitas Airlangga

  Cellulomonas sp. Media CMC Komposisi:

  

1. CMC: 10 gram

  2. KNO

  

3

: 1 gram

  

3. NaCl: 2 gram

  • untuk satu liter media Koloni bulat kecil, warna putih susu

Lactobacillus plantarum

  

1. MRS: 20 gram

  2. Glukosa: 20 gram

  3. Yeast ekstrak: 20 gram

  

4. Agar: 18 gram

  • untuk 1 liter media Koloni bulat, warna putih kekuningan

  Saccharomyces cereviceae Media PDA Komposisi:

  

1. PDA: 39 gram

  Media MRSA Komposisi:

  • untuk 1 liter media Koloni putih susu, memiliki aroma khas