KONTRAS ORTOGONAL

EDITOR

data data6;input perlk$ blok Y1;label Y1 ='Jumlah Cabang';cards;V1J1 1 7V1J1 2 6V1J1 3 7V1J2 1 6V1J2 2 7V1J2 3 6V1J3 1 7V1J3 2 7V1J3 3 8V2J1 1 9V2J1 2 8V2J1 3 9V2J2 1 9V2J2 2 7V2J2 3 8V2J3 1 7V2J3 2 7V2J3 3 7V3J1 1 7V3J1 2 8V3J1 3 8V3J2 1 7V3J2 2 8V3J2 3 6V3J3 1 6V3J3 2 5V3J3 3 6;Title 'Hasil Analisis Ragam';Proc GLM data = data6;Class perlk blok;Model Y1 = perlk blok;contrast 'V1 vs V2 & V3 'perlk 2 -1 -1;contrast 'V1 vs V2 'perlk -1 1 0;contrast 'V1 vs V3 'perlk -1 0 1;contrast 'V2 vs V3 'perlk 0 -1 2;contrast 'J1 vs J2 & J3 'perlk 2 -1 -1;contrast 'J1 vs J2 'perlk -1 1 0;contrast 'J1 vs J3 'perlk -1 0 1;contrast 'J2 vs J3 'perlk 0 -1 2;run;

LOG

1 data data6;2 input perlk$ blok Y1;3 label Y1 ='Jumlah Cabang';4 cards;

NOTE: The data set WORK.DATA6 has 27 observations and 3 variables.NOTE: DATA statement used (Total process time):

real time 0.17 seconds cpu time 0.17 seconds

32 ;33 Title 'Hasil Analisis Ragam';34 Proc GLM data = data6;35 Class perlk blok;36 Model Y1 = perlk blok;37 contrast 'V1 vs V2 & V3 'perlk 2 -1 -1; ---------------- 4938 contrast 'V1 vs V2 'perlk -1 1 0; ----------- 4939 contrast 'V1 vs V3 'perlk -1 0 1; ----------- 4940 contrast 'V2 vs V3 'perlk 0 -1 2; ----------- 4941 contrast 'J1 vs J2 & J3 'perlk 2 -1 -1; ---------------- 4942 contrast 'J1 vs J2 'perlk -1 1 0; ----------- 4943 contrast 'J1 vs J3 'perlk -1 0 1; ----------- 4944 contrast 'J2 vs J3 'perlk 0 -1 2; ----------- 49NOTE 49-169: The meaning of an identifier after a quoted string may change in a future SAS release. Inserting white space between a quoted string and the succeeding identifier is recommended.45 run;

NOTE: CONTRAST V2 vs V3 is not estimable.NOTE: CONTRAST J2 vs J3 is not estimable.

OUTPUT

Hasil Analisis Ragam 20:13 Thursday, December 16, 2012 1

The GLM Procedure

Class Level Information

Class Levels Values

perlk 9 V1J1 V1J2 V1J3 V2J1 V2J2 V2J3 V3J1 V3J2 V3J3

blok 3 1 2 3

Number of observations 27

Hasil Analisis Ragam 20:13 Thursday, December 16, 2012 2

The GLM Procedure

Dependent Variable: Y1 Jumlah Cabang

Sum of Source DF Squares Mean Square F Value Pr > F

Model 10 19.70370370 1.97037037 4.09 0.0062

Error 16 7.70370370 0.48148148

Corrected Total 26 27.40740741

R-Square Coeff Var Root MSE Y1 Mean

0.718919 9.707251 0.693889 7.148148

Source DF Type I SS Mean Square F Value Pr > F

perlk 8 19.40740741 2.42592593 5.04 0.0029 blok 2 0.29629630 0.14814815 0.31 0.7394

Source DF Type III SS Mean Square F Value Pr > F

perlk 8 19.40740741 2.42592593 5.04 ** 0.0029 blok 2 0.29629630 0.14814815 0.31 0.7394

Contrast DF Contrast SS Mean Square F Value Pr > F

V1 vs V2 & V3 1 0.05555556 0.05555556 0.12tn 0.7385 V1 vs V2 1 0.16666667 0.16666667 0.35tn 0.5645 V1 vs V3 1 0.66666667 0.66666667 1.38tn 0.2565 J1 vs J2 & J3 1 0.05555556 0.05555556 0.12tn 0.7385 J1 vs J2 1 0.16666667 0.16666667 0.35tn 0.5645 J1 vs J3 1 0.66666667 0.66666667 1.38tn 0.2565

Dari data diatas dapat ditarik kesimpulan bahwa perlakuan berpengaruh sangat nyata terhadap jumlah cabang kacang tanah. Uji lanjut kontras ortogonal menunjukkan bahwa V1 tidak berbeda nyata dengan V2 dan V3; V1 tidak berbeda nyata dengan V2; V1 tidak berbeda nyata dengan V3; J1 tidak berbeda nyata dengan J2 dan J3; J1 tidak berbeda nyata dengan J2; J1 tidak berbeda nyata dengan J3.

UJI KONTRAS ORTOGONAL VARIETAS

EDITOR

data data6;input perlk$ blok Y1;label Y1 ='Jumlah Cabang';cards;V1 1 7V1 2 6V1 3 7V1 1 6V1 2 7V1 3 6V1 1 7V1 2 7V1 3 8V2 1 9V2 2 8V2 3 9V2 1 9V2 2 7V2 3 8V2 1 7V2 2 7V2 3 7V3 1 7V3 2 8V3 3 8V3 1 7V3 2 8V3 3 6V3 1 6

V3 2 5V3 3 6;Title 'Hasil Analisis Ragam';Proc GLM data = data6;Class perlk blok;Model Y1 = perlk blok;contrast 'V1 vs V2 & V3 'perlk 2 -1 -1;contrast 'V1 vs V2 'perlk -1 1 0;contrast 'V1 vs V3 'perlk -1 0 1;contrast 'V2 vs V3 'perlk 0 -1 2;run;

LOG

91 data data6;92 input perlk$ blok Y1;93 label Y1 ='Jumlah Cabang';94 cards;

NOTE: The data set WORK.DATA6 has 27 observations and 3 variables.NOTE: DATA statement used (Total process time): real time 0.04 seconds cpu time 0.04 seconds

122 ;123 Title 'Hasil Analisis Ragam';124 Proc GLM data = data6;125 Class perlk blok;126 Model Y1 = perlk blok;127 contrast 'V1 vs V2 & V3 'perlk 2 -1 -1; ---------------- 49128 contrast 'V1 vs V2 'perlk -1 1 0; ----------- 49129 contrast 'V1 vs V3 'perlk -1 0 1; ----------- 49130 contrast 'V2 vs V3 'perlk 0 -1 2; ----------- 49131 contrast 'J1 vs J2 & J3 'perlk 2 -1 -1; ---------------- 49NOTE 49-169: The meaning of an identifier after a quoted string may change in a future SAS release. Inserting white space between a quoted string and the succeeding identifier is recommended.132 run;

NOTE: CONTRAST V2 vs V3 is not estimable.

OUTPUT

The GLM Procedure

Class Level Information

Class Levels Values

perlk 3 V1 V2 V3

blok 3 1 2 3

Number of observations 27

Hasil Analisis Ragam 20:13 Thursday, December 16, 2012 8

The GLM Procedure

Dependent Variable: Y1 Jumlah Cabang

Sum of Source DF Squares Mean Square F Value Pr > F

Model 4 7.70370370 1.92592593 2.15 0.1085

Error 22 19.70370370 0.89562290

Corrected Total 26 27.40740741

R-Square Coeff Var Root MSE Y1 Mean

0.281081 13.23942 0.946374 7.148148

Source DF Type I SS Mean Square F Value Pr > F

perlk 2 7.40740741 3.70370370 4.14 0.0299 blok 2 0.29629630 0.14814815 0.17 0.8486

Source DF Type III SS Mean Square F Value Pr > F

perlk 2 7.40740741 3.70370370 4.14* 0.0299 blok 2 0.29629630 0.14814815 0.17 0.8486

Contrast DF Contrast SS Mean Square F Value Pr > F

V1 vs V2 & V3 1 1.85185185 1.85185185 2.07tn 0.1645 V1 vs V2 1 5.55555556 5.55555556 6.20* 0.0208 V1 vs V3 1 0.00000000 0.00000000 0.00tn 1.0000

Dari data diatas dapat ditarik kesimpulan bahwa perlakuan varietas berpengaruh nyata terhadap jumlah cabang kacang tanah. Uji lanjut kontras ortogonal menunjukkan bahwa V1 tidak berbeda nyata dengan V2 dan V3; V1 berbeda nyata dengan V2; V1 tidak berbeda nyata dengan V3.

UJI KONTRAS ORTOGONAL JARAK TANAM

EDITOR

data data6;input perlk$ blok Y1;label Y1 ='Jumlah Cabang';cards;J1 1 7J1 2 6J1 3 7J2 1 6J2 2 7J2 3 6J3 1 7J3 2 7J3 3 8J1 1 9J1 2 8J1 3 9J2 1 9J2 2 7J2 3 8J3 1 7J3 2 7J3 3 7

J1 1 7J1 2 8J1 3 8J2 1 7J2 2 8J2 3 6J3 1 6J3 2 5J3 3 6;Title 'Hasil Analisis Ragam';Proc GLM data = data6;Class perlk blok;Model Y1 = perlk blok;contrast 'J1 vs J2 & J3 'perlk 2 -1 -1;contrast 'J1 vs J2 'perlk -1 1 0;contrast 'J1 vs J3 'perlk -1 0 1;contrast 'J2 vs J3 'perlk 0 -1 2;run;

LOG

174 data data6;175 input perlk$ blok Y1;176 label Y1 ='Jumlah Cabang';177 cards;

NOTE: The data set WORK.DATA6 has 27 observations and 3 variables.NOTE: DATA statement used (Total process time): real time 0.04 seconds cpu time 0.04 seconds

205 ;206 Title 'Hasil Analisis Ragam';207 Proc GLM data = data6;208 Class perlk blok;209 Model Y1 = perlk blok;210 contrast 'J1 vs J2 & J3 'perlk 2 -1 -1; ---------------- 49211 contrast 'J1 vs J2 'perlk -1 1 0; ----------- 49212 contrast 'J1 vs J3 'perlk -1 0 1; ----------- 49213 contrast 'J2 vs J3 'perlk 0 -1 2; ----------- 49NOTE 49-169: The meaning of an identifier after a quoted string may change in a future SAS release. Inserting white space between a quoted string and the succeeding identifier is recommended.214 run;

NOTE: CONTRAST J2 vs J3 is not estimable.

OUTPUT

Hasil Analisis Ragam 20:13 Thursday, December 16, 2012 9

The GLM Procedure

Class Level Information

Class Levels Values

perlk 3 J1 J2 J3

blok 3 1 2 3

Number of observations 27

Hasil Analisis Ragam 20:13 Thursday, December 16, 2012 10

The GLM Procedure

Dependent Variable: Y1 Jumlah Cabang

Sum of Source DF Squares Mean Square F Value Pr > F

Model 4 4.81481481 1.20370370 1.17 0.3502

Error 22 22.59259259 1.02693603

Corrected Total 26 27.40740741

R-Square Coeff Var Root MSE Y1 Mean

0.175676 14.17680 1.013379 7.148148

Source DF Type I SS Mean Square F Value Pr > F

perlk 2 4.51851852 2.25925926 2.20 0.1346 blok 2 0.29629630 0.14814815 0.14 0.8665

Source DF Type III SS Mean Square F Value Pr > F

perlk 2 4.51851852 2.25925926 2.20tn 0.1346 blok 2 0.29629630 0.14814815 0.14 0.8665

Contrast DF Contrast SS Mean Square F Value Pr > F

J1 vs J2 & J3 1 3.62962963 3.62962963 3.53tn 0.0734 J1 vs J2 1 1.38888889 1.38888889 1.35tn 0.2573 J1 vs J3 1 4.50000000 4.50000000 4.38* 0.0481

Dari data diatas dapat ditarik kesimpulan bahwa perlakuan berpengaruh tidak nyata terhadap jumlah cabang kacang tanah. Uji lanjut kontras ortogonal menunjukkan bahwa V1 tidak berbeda nyata dengan V2 dan V3; V1 tidak berbeda nyata dengan V2; V1 berbeda nyata dengan V3.