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Pengaruh Beberapa Jenis Pakan Terhadap Pertumbuhan Rotifera (Brachionus sp)

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(1)
(2)

1.

Alat dan Bahan

(3)

Termometer

pH Meter

Corong

Tisu

(4)
(5)

(6)

2.

Prosedur Penelitian

Bibit dari Alam Proses Pemasukan Bibit

Yang Sudah Dikultur

(7)

Media Uji

(8)

3.

Rotifera (

Brachionus

sp)

(9)

4.

Tabel Pengamatan Pertumbuhan Harian

Brachionus

sp

Perlakuan

Ulangan

Pengamatan

(10)

5.

Tabel Hasil Pertumbuhan Populasi dan Pertumbuhan Harian

Brachionus

sp pada Perlakuan

Pertumbuhan Populasi

Brachionus

sp

Perlakuan

Ulangan

Jumlah

Rata-rata

I

II

III

A (Fitoplankton)

8

5

6

19

6.33

B ( Ampas Tahu)

96

52

53

201

67

C ( Ragi Roti)

47

31.6

22.3

100.9

33.63

D ( Vit. B Kompleks )

25

37

97

159

53

Pertumbuhan Harian Populasi

Brachionus

sp Pada Setiap Perlakuan.

Waktu Pengamatan

Media Perlakuan

Fitoplankton

Ampas Tahu

Ragi Roti

Vitamin B Kompleks

(11)
(12)
(13)

7.

Hasil Analisis Anova Menggunakan Program SPSS 17

Correlations

Notes

Output Created 20-Nov-2013 09:50:19

Comments

Input Active Dataset DataSet0er

Filter <none>

Weight <none>

Split File <none>

N of Rows in Working Data File 4

Missing Value Handling Definition of Missing User-defined missing values are treated as

missing.

Cases Used Statistics for each pair of variables are based

on all the cases with valid data for that pair.

Syntax CORRELATIONS

/VARIABLES=Fitoplankton AmpasTahu

RagiRoti VitaminBKompleks

/PRINT=TWOTAIL NOSIG

/STATISTICS DESCRIPTIVES

/MISSING=PAIRWISE.

Resources Processor Time 0:00:00.000

Elapsed Time 0:00:00.032

(14)

REGRESSION /DESCRIPTIVES MEAN STDDEV CORR SIG N /MISSING

LISTWISE /STATISTICS COEFF OUTS R ANOVA COLLIN TOL CHANGE ZPP

/CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT Fitoplankton

/METHOD=ENTER AmpasTahu RagiRoti VitaminBKompleks /RESIDUALS

HIST(ZRESID) NORM(ZRESID).

Correlations

Fitoplankton Ampas Tahu Ragi Roti Vit. B Kompleks

Fitoplankton Pearson Correlation 1 .951 .755 -.339

(15)

Regression

Notes

Output Created 20-Nov-2013 09:51:15

Comments

Input Active Dataset DataSet0

Filter <none>

Weight <none>

Split File <none>

N of Rows in Working Data File 4

Missing Value Handling Definition of Missing User-defined missing values are treated as

missing.

Cases Used Statistics are based on cases with no

missing values for any variable used.

Syntax REGRESSION

/DESCRIPTIVES MEAN STDDEV CORR

SIG N

/MISSING LISTWISE

/STATISTICS COEFF OUTS R ANOVA

COLLIN TOL CHANGE ZPP

/CRITERIA=PIN(.05) POUT(.10)

/NOORIGIN

/DEPENDENT Fitoplankton

/METHOD=ENTER AmpasTahu RagiRoti

VitaminBKompleks

/RESIDUALS HIST(ZRESID)

NORM(ZRESID).

Resources Processor Time 0:00:00.063

Elapsed Time 0:00:00.077

Memory Required 1956 bytes

Additional Memory Required for

Residual Plots

640 bytes

(16)

Warnings

For the final model with dependent variable Fitoplankton, the variance- covariance matrix is singular.

Influence statistics cannot be computed.

Descriptive Statistics

Fitoplankton Ampas Tahu Ragi Roti Vit. B Kompleks

Pearson Correlation Fitoplankton 1.000 .951 .755 -.339

(17)

Model Variables Entered Variables Removed Method

1 Vit. B Kompleks,

Ampas Tahua

. Enter

a. Tolerance = .000 limits reached.

Model Summaryb

a. Predictors: (Constant), Vit. B Kompleks, Ampas Tahu

(18)

ANOVA

b

Model Sum of Squares df Mean Square F Sig.

1 Regression 4.667 2 2.333 . .a

Residual .000 0 .

Total 4.667 2

a. Predictors: (Constant), Vit. B Kompleks, Ampas Tahu

b. Dependent Variable: Fitoplankton

Coefficientsa

Correlations Collinearity Statistics

B Std. Error Beta Zero-order Partial Part Tolerance VIF

1(Constant) .663 .000 . .

Ampas Tahu .072 .000 1.191 . . .951 1.000 .941 .624 1.602

Vit. B Kompleks .015 .000 .390 . . -.339 1.000 .308 .624 1.602

(19)

Excluded Variablesb

a. Predictors in the Model: (Constant), Vit. B Kompleks, Ampas Tahu

b. Dependent Variable: Fitoplankton

Collinearity Diagnosticsa

Model

Dimensio

n Eigenvalue Condition Index

Variance Proportions

(Constant) Ampas Tahu Vit. B Kompleks

1 1 2.701 1.000 .00 .01 .02

2 .281 3.101 .00 .07 .36

3 .018 12.114 .99 .93 .62

(20)

Residuals Statisticsa

(21)

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