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OUTPUT 1 RANCANGAN FAKTORIAL 3 FAKTOR DALAM RAL The SAS System The GLM Procedure Class Level Information Class Levels Values n 3 1 2 3 m 3 1 2 3 v 3 1 2 3 ulang 3 1 2 3 Number of observations 81 The SAS System The GLM Procedure Dependent Variable: hasil Sum of Source DF Squares Mean Square F Value Pr > F Model 26 162689135.6 6257274.4 12.51 <.0001 Error 54 27019736.0 500365.5 Corrected Total 80 189708871.6 R-Square Coeff Var Root MSE hasil Mean 0.857573 11.40864 707.3652 6200.259 Source DF Type I SS Mean Square F Value Pr > F n 2 35054764.74 17527382.37 35.03 <.0001 m 2 22785126.74 11392563.37 22.77 <.0001 v 2 94648726.22 47324363.11 94.58 <.0001 n*m 4 161644.96 40411.24 0.08 0.9879 n*v 4 3435560.81 858890.20 1.72 0.1598 m*v 4 4240349.48 1060087.37 2.12 0.0910 n*m*v 8 2362962.59 295370.32 0.59 0.7815 Source DF Type III SS Mean Square F Value Pr > F n 2 35054764.74 17527382.37 35.03 <.0001 m 2 22785126.74 11392563.37 22.77 <.0001 v 2 94648726.22 47324363.11 94.58 <.0001 n*m 4 161644.96 40411.24 0.08 0.9879 n*v 4 3435560.81 858890.20 1.72 0.1598 m*v 4 4240349.48 1060087.37 2.12 0.0910 n*m*v 8 2362962.59 295370.32 0.59 0.7815 The SAS System The GLM Procedure Duncan's Multiple Range Test for hasil NOTE: This test controls the Type I comparisonwise error rate, not the experimentwise error rate. Alpha 0.05 Error Degrees of Freedom 54

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Error Mean Square 500365.5 Number of Means 2 3 Critical Range 386.0 406.0 Means with the same letter are not significantly different. Duncan Grouping Mean N n A 6995.7 27 3 B 6220.3 27 2 C 5384.7 27 1 The SAS System The GLM Procedure Duncan's Multiple Range Test for hasil NOTE: This test controls the Type I comparisonwise error rate, not the experimentwise error rate. Alpha 0.05 Error Degrees of Freedom 54 Error Mean Square 500365.5 Number of Means 2 3 Critical Range 386.0 406.0 Means with the same letter are not significantly different. Duncan Grouping Mean N m A 6908.8 27 3 B 6059.2 27 2 C 5632.8 27 1 The SAS System The GLM Procedure Duncan's Multiple Range Test for hasil NOTE: This test controls the Type I comparisonwise error rate, not the experimentwise error rate. Alpha 0.05 Error Degrees of Freedom 54 Error Mean Square 500365.5 Number of Means 2 3 Critical Range 386.0 406.0 Means with the same letter are not significantly different. Duncan Grouping Mean N v A 7641.0 27 3 B 5922.6 27 2 C 5037.2 27 1

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The SAS System The GLM Procedure Least Squares Means Standard LSMEAN n m hasil LSMEAN Error Pr > |t| Number 1 1 4873.77778 235.78839 <.0001 1 1 2 5175.00000 235.78839 <.0001 2 1 3 6105.33333 235.78839 <.0001 3 2 1 5645.00000 235.78839 <.0001 4 2 2 6069.33333 235.78839 <.0001 5 2 3 6946.66667 235.78839 <.0001 6 3 1 6379.66667 235.78839 <.0001 7 3 2 6933.22222 235.78839 <.0001 8 3 3 7674.33333 235.78839 <.0001 9 Least Squares Means for effect n*m Pr > |t| for H0: LSMean(i)=LSMean(j) Dependent Variable: hasil i/j 1 2 3 4 5 1 0.3704 0.0005 0.0246 0.0007 2 0.3704 0.0073 0.1644 0.0097 3 0.0005 0.0073 0.1731 0.9144 4 0.0246 0.1644 0.1731 0.2086 5 0.0007 0.0097 0.9144 0.2086 6 <.0001 <.0001 0.0146 0.0003 0.0111 7 <.0001 0.0007 0.4143 0.0319 0.3562 8 <.0001 <.0001 0.0162 0.0003 0.0123 9 <.0001 <.0001 <.0001 <.0001 <.0001 Least Squares Means for effect n*m Pr > |t| for H0: LSMean(i)=LSMean(j) Dependent Variable: hasil i/j 6 7 8 9 1 <.0001 <.0001 <.0001 <.0001 2 <.0001 0.0007 <.0001 <.0001 3 0.0146 0.4143 0.0162 <.0001 4 0.0003 0.0319 0.0003 <.0001 5 0.0111 0.3562 0.0123 <.0001 6 0.0948 0.9680 0.0335 7 0.0948 0.1027 0.0003 8 0.9680 0.1027 0.0305 9 0.0335 0.0003 0.0305 NOTE: To ensure overall protection level, only probabilities associated with pre-planned comparisons should be used. Standard LSMEAN n v hasil LSMEAN Error Pr > |t| Number 1 1 4513.11111 235.78839 <.0001 1 1 2 5162.88889 235.78839 <.0001 2 1 3 6478.11111 235.78839 <.0001 3 2 1 4763.66667 235.78839 <.0001 4 2 2 6016.22222 235.78839 <.0001 5 2 3 7881.11111 235.78839 <.0001 6 3 1 5834.88889 235.78839 <.0001 7 3 2 6588.55556 235.78839 <.0001 8 3 3 8563.77778 235.78839 <.0001 9

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The SAS System The GLM Procedure Least Squares Means Least Squares Means for effect n*v Pr > |t| for H0: LSMean(i)=LSMean(j) Dependent Variable: hasil i/j 1 2 3 4 5 1 0.0565 <.0001 0.4557 <.0001 2 0.0565 0.0002 0.2364 0.0133 3 <.0001 0.0002 <.0001 0.1717 4 0.4557 0.2364 <.0001 0.0004 5 <.0001 0.0133 0.1717 0.0004 6 <.0001 <.0001 <.0001 <.0001 <.0001 7 0.0002 0.0489 0.0590 0.0022 0.5888 8 <.0001 <.0001 0.7418 <.0001 0.0918 9 <.0001 <.0001 <.0001 <.0001 <.0001 Least Squares Means for effect n*v Pr > |t| for H0: LSMean(i)=LSMean(j) Dependent Variable: hasil i/j 6 7 8 9 1 <.0001 0.0002 <.0001 <.0001 2 <.0001 0.0489 <.0001 <.0001 3 <.0001 0.0590 0.7418 <.0001 4 <.0001 0.0022 <.0001 <.0001 5 <.0001 0.5888 0.0918 <.0001 6 <.0001 0.0003 0.0455 7 <.0001 0.0279 <.0001 8 0.0003 0.0279 <.0001 9 0.0455 <.0001 <.0001 NOTE: To ensure overall protection level, only probabilities associated with pre-planned comparisons should be used. Standard LSMEAN m v hasil LSMEAN Error Pr > |t| Number 1 1 4451.66667 235.78839 <.0001 1 1 2 5749.11111 235.78839 <.0001 2 1 3 6697.66667 235.78839 <.0001 3 2 1 4875.33333 235.78839 <.0001 4 2 2 5675.55556 235.78839 <.0001 5 2 3 7626.66667 235.78839 <.0001 6 3 1 5784.66667 235.78839 <.0001 7 3 2 6343.00000 235.78839 <.0001 8 3 3 8598.66667 235.78839 <.0001 9 Least Squares Means for effect m*v Pr > |t| for H0: LSMean(i)=LSMean(j) Dependent Variable: hasil i/j 1 2 3 4 5 1 0.0003 <.0001 0.2093 0.0006 2 0.0003 0.0063 0.0114 0.8262 3 <.0001 0.0063 <.0001 0.0034 4 0.2093 0.0114 <.0001 0.0199 5 0.0006 0.8262 0.0034 0.0199 6 <.0001 <.0001 0.0073 <.0001 <.0001 7 0.0002 0.9155 0.0084 0.0086 0.7448 8 <.0001 0.0805 0.2922 <.0001 0.0504 9 <.0001 <.0001 <.0001 <.0001 <.0001

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The SAS System The GLM Procedure Least Squares Means Least Squares Means for effect m*v Pr > |t| for H0: LSMean(i)=LSMean(j) Dependent Variable: hasil i/j 6 7 8 9 1 <.0001 0.0002 <.0001 <.0001 2 <.0001 0.9155 0.0805 <.0001 3 0.0073 0.0084 0.2922 <.0001 4 <.0001 0.0086 <.0001 <.0001 5 <.0001 0.7448 0.0504 <.0001 6 <.0001 0.0003 0.0052 7 <.0001 0.0998 <.0001 8 0.0003 0.0998 <.0001 9 0.0052 <.0001 <.0001 NOTE: To ensure overall protection level, only probabilities associated with pre-planned comparisons should be used. Standard LSMEAN n m v hasil LSMEAN Error Pr > |t| Number 1 1 1 3897.00000 408.39747 <.0001 1 1 1 2 5346.00000 408.39747 <.0001 2 1 1 3 5378.33333 408.39747 <.0001 3 1 2 1 4317.33333 408.39747 <.0001 4 1 2 2 4711.66667 408.39747 <.0001 5 1 2 3 6496.00000 408.39747 <.0001 6 1 3 1 5325.00000 408.39747 <.0001 7 1 3 2 5431.00000 408.39747 <.0001 8 1 3 3 7560.00000 408.39747 <.0001 9 2 1 1 4232.00000 408.39747 <.0001 10 2 1 2 5921.66667 408.39747 <.0001 11 2 1 3 6781.33333 408.39747 <.0001 12 2 2 1 4576.33333 408.39747 <.0001 13 2 2 2 5815.00000 408.39747 <.0001 14 2 2 3 7816.66667 408.39747 <.0001 15 2 3 1 5482.66667 408.39747 <.0001 16 2 3 2 6312.00000 408.39747 <.0001 17 2 3 3 9045.33333 408.39747 <.0001 18 3 1 1 5226.00000 408.39747 <.0001 19 3 1 2 5979.66667 408.39747 <.0001 20 3 1 3 7933.33333 408.39747 <.0001 21 3 2 1 5732.33333 408.39747 <.0001 22 3 2 2 6500.00000 408.39747 <.0001 23 3 2 3 8567.33333 408.39747 <.0001 24 3 3 1 6546.33333 408.39747 <.0001 25 3 3 2 7286.00000 408.39747 <.0001 26 3 3 3 9190.66667 408.39747 <.0001 27 Least Squares Means for effect n*m*v Pr > |t| for H0: LSMean(i)=LSMean(j) Dependent Variable: hasil i/j 1 2 3 4 5 6 7 1 0.0151 0.0131 0.4699 0.1641 <.0001 0.0166 2 0.0151 0.9556 0.0805 0.2769 0.0515 0.9711 3 0.0131 0.9556 0.0717 0.2535 0.0582 0.9268 4 0.4699 0.0805 0.0717 0.4977 0.0004 0.0867 5 0.1641 0.2769 0.2535 0.4977 0.0032 0.2930 6 <.0001 0.0515 0.0582 0.0004 0.0032 0.0476 7 0.0166 0.9711 0.9268 0.0867 0.2930 0.0476 8 0.0104 0.8835 0.9277 0.0591 0.2183 0.0707 0.8551 9 <.0001 0.0003 0.0004 <.0001 <.0001 0.0709 0.0003 10 0.5643 0.0590 0.0523 0.8831 0.4099 0.0003 0.0638 11 0.0009 0.3233 0.3510 0.0075 0.0409 0.3245 0.3062 12 <.0001 0.0161 0.0185 <.0001 0.0007 0.6233 0.0147

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The SAS System The GLM Procedure Least Squares Means Least Squares Means for effect n*m*v Pr > |t| for H0: LSMean(i)=LSMean(j) Dependent Variable: hasil i/j 1 2 3 4 5 6 7 13 0.2447 0.1883 0.1707 0.6556 0.8156 0.0016 0.2004 14 0.0016 0.4203 0.4529 0.0122 0.0614 0.2435 0.4000 15 <.0001 <.0001 <.0001 <.0001 <.0001 0.0262 <.0001 16 0.0082 0.8138 0.8573 0.0486 0.1875 0.0850 0.7859 17 0.0001 0.1002 0.1118 0.0011 0.0077 0.7513 0.0932 18 <.0001 <.0001 <.0001 <.0001 <.0001 <.0001 <.0001 19 0.0253 0.8362 0.7930 0.1215 0.3771 0.0322 0.8645 20 0.0007 0.2774 0.3024 0.0057 0.0324 0.3753 0.2620 21 <.0001 <.0001 <.0001 <.0001 <.0001 0.0159 <.0001 22 0.0025 0.5064 0.5425 0.0176 0.0828 0.1917 0.4837 23 <.0001 0.0508 0.0574 0.0004 0.0031 0.9945 0.0468 24 <.0001 <.0001 <.0001 <.0001 <.0001 0.0007 <.0001 25 <.0001 0.0425 0.0481 0.0003 0.0025 0.9309 0.0391 26 <.0001 0.0014 0.0017 <.0001 <.0001 0.1770 0.0013 27 <.0001 <.0001 <.0001 <.0001 <.0001 <.0001 <.0001 Least Squares Means for effect n*m*v Pr > |t| for H0: LSMean(i)=LSMean(j) Dependent Variable: hasil i/j 8 9 10 11 12 13 14 1 0.0104 <.0001 0.5643 0.0009 <.0001 0.2447 0.0016 2 0.8835 0.0003 0.0590 0.3233 0.0161 0.1883 0.4203 3 0.9277 0.0004 0.0523 0.3510 0.0185 0.1707 0.4529 4 0.0591 <.0001 0.8831 0.0075 <.0001 0.6556 0.0122 5 0.2183 <.0001 0.4099 0.0409 0.0007 0.8156 0.0614 6 0.0707 0.0709 0.0003 0.3245 0.6233 0.0016 0.2435 7 0.8551 0.0003 0.0638 0.3062 0.0147 0.2004 0.4000 8 0.0005 0.0427 0.3993 0.0231 0.1447 0.5090 9 0.0005 <.0001 0.0064 0.1832 <.0001 0.0038 10 0.0427 <.0001 0.0050 <.0001 0.5535 0.0083 11 0.3993 0.0064 0.0050 0.1425 0.0236 0.8542 12 0.0231 0.1832 <.0001 0.1425 0.0003 0.1001 13 0.1447 <.0001 0.5535 0.0236 0.0003 0.0365 14 0.5090 0.0038 0.0083 0.8542 0.1001 0.0365 15 0.0001 0.6585 <.0001 0.0018 0.0786 <.0001 0.0010 16 0.9291 0.0007 0.0348 0.4505 0.0286 0.1224 0.5674 17 0.1330 0.0352 0.0007 0.5020 0.4200 0.0040 0.3933 18 <.0001 0.0129 <.0001 <.0001 0.0003 <.0001 <.0001 19 0.7240 0.0002 0.0910 0.2337 0.0094 0.2656 0.3124 20 0.3464 0.0084 0.0038 0.9204 0.1708 0.0185 0.7767 21 <.0001 0.5208 <.0001 0.0010 0.0511 <.0001 0.0006 22 0.6040 0.0026 0.0121 0.7443 0.0749 0.0504 0.8867 23 0.0697 0.0720 0.0002 0.3211 0.6282 0.0016 0.2408 24 <.0001 0.0868 <.0001 <.0001 0.0031 <.0001 <.0001 25 0.0587 0.0849 0.0002 0.2843 0.6857 0.0012 0.2109 26 0.0022 0.6371 <.0001 0.0218 0.3861 <.0001 0.0138 27 <.0001 0.0066 <.0001 <.0001 0.0001 <.0001 <.0001 Least Squares Means for effect n*m*v Pr > |t| for H0: LSMean(i)=LSMean(j) Dependent Variable: hasil i/j 15 16 17 18 19 20 21 1 <.0001 0.0082 0.0001 <.0001 0.0253 0.0007 <.0001 2 <.0001 0.8138 0.1002 <.0001 0.8362 0.2774 <.0001 3 <.0001 0.8573 0.1118 <.0001 0.7930 0.3024 <.0001 4 <.0001 0.0486 0.0011 <.0001 0.1215 0.0057 <.0001 5 <.0001 0.1875 0.0077 <.0001 0.3771 0.0324 <.0001 6 0.0262 0.0850 0.7513 <.0001 0.0322 0.3753 0.0159 7 <.0001 0.7859 0.0932 <.0001 0.8645 0.2620 <.0001 8 0.0001 0.9291 0.1330 <.0001 0.7240 0.3464 <.0001

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The SAS System The GLM Procedure Least Squares Means Least Squares Means for effect n*m*v Pr > |t| for H0: LSMean(i)=LSMean(j) Dependent Variable: hasil i/j 15 16 17 18 19 20 21 9 0.6585 0.0007 0.0352 0.0129 0.0002 0.0084 0.5208 10 <.0001 0.0348 0.0007 <.0001 0.0910 0.0038 <.0001 11 0.0018 0.4505 0.5020 <.0001 0.2337 0.9204 0.0010 12 0.0786 0.0286 0.4200 0.0003 0.0094 0.1708 0.0511 13 <.0001 0.1224 0.0040 <.0001 0.2656 0.0185 <.0001 14 0.0010 0.5674 0.3933 <.0001 0.3124 0.7767 0.0006 15 0.0002 0.0118 0.0380 <.0001 0.0024 0.8407 16 0.0002 0.1568 <.0001 0.6585 0.3933 <.0001 17 0.0118 0.1568 <.0001 0.0655 0.5674 0.0069 18 0.0380 <.0001 <.0001 <.0001 <.0001 0.0595 19 <.0001 0.6585 0.0655 <.0001 0.1975 <.0001 20 0.0024 0.3933 0.5674 <.0001 0.1975 0.0013 21 0.8407 <.0001 0.0069 0.0595 <.0001 0.0013 22 0.0007 0.6673 0.3200 <.0001 0.3845 0.6702 0.0004 23 0.0266 0.0838 0.7461 <.0001 0.0317 0.3716 0.0162 24 0.1992 <.0001 0.0003 0.4115 <.0001 <.0001 0.2772 25 0.0321 0.0710 0.6865 <.0001 0.0262 0.3309 0.0198 26 0.3623 0.0029 0.0975 0.0036 0.0008 0.0278 0.2673 27 0.0209 <.0001 <.0001 0.8023 <.0001 <.0001 0.0339 Least Squares Means for effect n*m*v Pr > |t| for H0: LSMean(i)=LSMean(j) Dependent Variable: hasil i/j 22 23 24 25 26 27 1 0.0025 <.0001 <.0001 <.0001 <.0001 <.0001 2 0.5064 0.0508 <.0001 0.0425 0.0014 <.0001 3 0.5425 0.0574 <.0001 0.0481 0.0017 <.0001 4 0.0176 0.0004 <.0001 0.0003 <.0001 <.0001 5 0.0828 0.0031 <.0001 0.0025 <.0001 <.0001 6 0.1917 0.9945 0.0007 0.9309 0.1770 <.0001 7 0.4837 0.0468 <.0001 0.0391 0.0013 <.0001 8 0.6040 0.0697 <.0001 0.0587 0.0022 <.0001 9 0.0026 0.0720 0.0868 0.0849 0.6371 0.0066 10 0.0121 0.0002 <.0001 0.0002 <.0001 <.0001 11 0.7443 0.3211 <.0001 0.2843 0.0218 <.0001 12 0.0749 0.6282 0.0031 0.6857 0.3861 0.0001 13 0.0504 0.0016 <.0001 0.0012 <.0001 <.0001 14 0.8867 0.2408 <.0001 0.2109 0.0138 <.0001 15 0.0007 0.0266 0.1992 0.0321 0.3623 0.0209 16 0.6673 0.0838 <.0001 0.0710 0.0029 <.0001 17 0.3200 0.7461 0.0003 0.6865 0.0975 <.0001 18 <.0001 <.0001 0.4115 <.0001 0.0036 0.8023 19 0.3845 0.0317 <.0001 0.0262 0.0008 <.0001 20 0.6702 0.3716 <.0001 0.3309 0.0278 <.0001 21 0.0004 0.0162 0.2772 0.0198 0.2673 0.0339 22 0.1894 <.0001 0.1645 0.0095 <.0001 23 0.1894 0.0007 0.9364 0.1792 <.0001 24 <.0001 0.0007 0.0009 0.0307 0.2853 25 0.1645 0.9364 0.0009 0.2058 <.0001 26 0.0095 0.1792 0.0307 0.2058 0.0017 27 <.0001 <.0001 0.2853 <.0001 0.0017 NOTE: To ensure overall protection level, only probabilities associated with pre-planned comparisons should be used.

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OUTPUT 2 RANCANGAN PETAK-PETAK TERBAGI (SPLIT-SPLIT PLOT DESIGN) The SAS System The GLM Procedure Class Level Information Class Levels Values n 3 1 2 3 m 3 1 2 3 v 3 1 2 3 kel 3 1 2 3 Number of observations 81 The SAS System The GLM Procedure Dependent Variable: hasil Sum of Source DF Squares Mean Square F Value Pr > F Model 44 167761532.7 3812762.1 6.25 <.0001 Error 36 21947338.9 609648.3 Corrected Total 80 189708871.6 R-Square Coeff Var Root MSE hasil Mean 0.884310 12.59302 780.7998 6200.259 Source DF Type I SS Mean Square F Value Pr > F kel 2 1005202.07 502601.04 0.82 0.4466 n 2 35054764.74 17527382.37 28.75 <.0001 kel(n) 4 1295974.52 323993.63 0.53 0.7134 m 2 22785126.74 11392563.37 18.69 <.0001 n*m 4 161644.96 40411.24 0.07 0.9916 kel(n*m) 12 2771220.52 230935.04 0.38 0.9627 v 2 94648726.22 47324363.11 77.63 <.0001 n*v 4 3435560.81 858890.20 1.41 0.2507 m*v 4 4240349.48 1060087.37 1.74 0.1629 n*m*v 8 2362962.59 295370.32 0.48 0.8590 Source DF Type III SS Mean Square F Value Pr > F kel 2 1005202.07 502601.04 0.82 0.4466 n 2 35054764.74 17527382.37 28.75 <.0001 kel(n) 4 1295974.52 323993.63 0.53 0.7134 m 2 22785126.74 11392563.37 18.69 <.0001 n*m 4 161644.96 40411.24 0.07 0.9916 kel(n*m) 12 2771220.52 230935.04 0.38 0.9627 v 2 94648726.22 47324363.11 77.63 <.0001 n*v 4 3435560.81 858890.20 1.41 0.2507 m*v 4 4240349.48 1060087.37 1.74 0.1629 n*m*v 8 2362962.59 295370.32 0.48 0.8590 Tests of Hypotheses Using the Type III MS for kel(n) as an Error Term Source DF Type III SS Mean Square F Value Pr > F n 2 35054764.74 17527382.37 54.10 0.0013 kel 2 1005202.07 502601.04 1.55 0.3172

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The SAS System The GLM Procedure Duncan's Multiple Range Test for hasil NOTE: This test controls the Type I comparisonwise error rate, not the experimentwise error rate. Alpha 0.05 Error Degrees of Freedom 4 Error Mean Square 323993.6 Number of Means 2 3 Critical Range 430.1 439.5 Means with the same letter are not significantly different. Duncan Grouping Mean N n A 6995.7 27 3 B 6220.3 27 2 C 5384.7 27 1 The SAS System The GLM Procedure Duncan's Multiple Range Test for hasil NOTE: This test controls the Type I comparisonwise error rate, not the experimentwise error rate. Alpha 0.05 Error Degrees of Freedom 12 Error Mean Square 230935 Number of Means 2 3 Critical Range 285.0 298.3 Means with the same letter are not significantly different. Duncan Grouping Mean N m A 6908.8 27 3 B 6059.2 27 2 C 5632.8 27 1 The SAS System The GLM Procedure Duncan's Multiple Range Test for hasil NOTE: This test controls the Type I comparisonwise error rate, not the experimentwise error rate. Alpha 0.05 Error Degrees of Freedom 36 Error Mean Square 609648.3 Number of Means 2 3 Critical Range 431.0 453.1 Means with the same letter are not significantly different. Duncan Grouping Mean N v

A r s y i l H e n d r a S a p u t r a | J 2 E 0 0 8 0 0 9 | 10

A 7641.0 27 3 B 5922.6 27 2 C 5037.2 27 1 The SAS System The GLM Procedure Least Squares Means Standard LSMEAN n m hasil LSMEAN Error Pr > |t| Number 1 1 4873.77778 260.26659 <.0001 1 1 2 5175.00000 260.26659 <.0001 2 1 3 6105.33333 260.26659 <.0001 3 2 1 5645.00000 260.26659 <.0001 4 2 2 6069.33333 260.26659 <.0001 5 2 3 6946.66667 260.26659 <.0001 6 3 1 6379.66667 260.26659 <.0001 7 3 2 6933.22222 260.26659 <.0001 8 3 3 7674.33333 260.26659 <.0001 9 Least Squares Means for effect n*m Pr > |t| for H0: LSMean(i)=LSMean(j) Dependent Variable: hasil i/j 1 2 3 4 5 1 0.4185 0.0019 0.0432 0.0025 2 0.4185 0.0160 0.2098 0.0202 3 0.0019 0.0160 0.2191 0.9226 4 0.0432 0.2098 0.2191 0.2566 5 0.0025 0.0202 0.9226 0.2566 6 <.0001 <.0001 0.0283 0.0011 0.0225 7 0.0002 0.0024 0.4609 0.0535 0.4047 8 <.0001 <.0001 0.0307 0.0013 0.0245 9 <.0001 <.0001 0.0001 <.0001 0.0001 Least Squares Means for effect n*m Pr > |t| for H0: LSMean(i)=LSMean(j) Dependent Variable: hasil i/j 6 7 8 9 1 <.0001 0.0002 <.0001 <.0001 2 <.0001 0.0024 <.0001 <.0001 3 0.0283 0.4609 0.0307 0.0001 4 0.0011 0.0535 0.0013 <.0001 5 0.0225 0.4047 0.0245 0.0001 6 0.1322 0.9711 0.0557 7 0.1322 0.1413 0.0012 8 0.9711 0.1413 0.0516 9 0.0557 0.0012 0.0516 NOTE: To ensure overall protection level, only probabilities associated with pre-planned comparisons should be used. Standard LSMEAN n v hasil LSMEAN Error Pr > |t| Number 1 1 4513.11111 260.26659 <.0001 1 1 2 5162.88889 260.26659 <.0001 2 1 3 6478.11111 260.26659 <.0001 3 2 1 4763.66667 260.26659 <.0001 4 2 2 6016.22222 260.26659 <.0001 5 2 3 7881.11111 260.26659 <.0001 6 3 1 5834.88889 260.26659 <.0001 7 3 2 6588.55556 260.26659 <.0001 8 3 3 8563.77778 260.26659 <.0001 9 The SAS System

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The GLM Procedure Least Squares Means Least Squares Means for effect n*v Pr > |t| for H0: LSMean(i)=LSMean(j) Dependent Variable: hasil i/j 1 2 3 4 5 1 0.0860 <.0001 0.5004 0.0002 2 0.0860 0.0010 0.2853 0.0262 3 <.0001 0.0010 <.0001 0.2176 4 0.5004 0.2853 <.0001 0.0016 5 0.0002 0.0262 0.2176 0.0016 6 <.0001 <.0001 0.0005 <.0001 <.0001 7 0.0010 0.0762 0.0891 0.0062 0.6252 8 <.0001 0.0004 0.7659 <.0001 0.1287 9 <.0001 <.0001 <.0001 <.0001 <.0001 Least Squares Means for effect n*v Pr > |t| for H0: LSMean(i)=LSMean(j) Dependent Variable: hasil i/j 6 7 8 9 1 <.0001 0.0010 <.0001 <.0001 2 <.0001 0.0762 0.0004 <.0001 3 0.0005 0.0891 0.7659 <.0001 4 <.0001 0.0062 <.0001 <.0001 5 <.0001 0.6252 0.1287 <.0001 6 <.0001 0.0012 0.0718 7 <.0001 0.0479 <.0001 8 0.0012 0.0479 <.0001 9 0.0718 <.0001 <.0001 NOTE: To ensure overall protection level, only probabilities associated with pre-planned comparisons should be used. Standard LSMEAN m v hasil LSMEAN Error Pr > |t| Number 1 1 4451.66667 260.26659 <.0001 1 1 2 5749.11111 260.26659 <.0001 2 1 3 6697.66667 260.26659 <.0001 3 2 1 4875.33333 260.26659 <.0001 4 2 2 5675.55556 260.26659 <.0001 5 2 3 7626.66667 260.26659 <.0001 6 3 1 5784.66667 260.26659 <.0001 7 3 2 6343.00000 260.26659 <.0001 8 3 3 8598.66667 260.26659 <.0001 9 Least Squares Means for effect m*v Pr > |t| for H0: LSMean(i)=LSMean(j) Dependent Variable: hasil i/j 1 2 3 4 5 1 0.0012 <.0001 0.2573 0.0020 2 0.0012 0.0142 0.0231 0.8427 3 <.0001 0.0142 <.0001 0.0087 4 0.2573 0.0231 <.0001 0.0364 5 0.0020 0.8427 0.0087 0.0364 6 <.0001 <.0001 0.0162 <.0001 <.0001 7 0.0009 0.9236 0.0179 0.0184 0.7686 8 <.0001 0.1154 0.3417 0.0003 0.0781 9 <.0001 <.0001 <.0001 <.0001 <.0001

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The SAS System The GLM Procedure Least Squares Means Least Squares Means for effect m*v Pr > |t| for H0: LSMean(i)=LSMean(j) Dependent Variable: hasil i/j 6 7 8 9 1 <.0001 0.0009 <.0001 <.0001 2 <.0001 0.9236 0.1154 <.0001 3 0.0162 0.0179 0.3417 <.0001 4 <.0001 0.0184 0.0003 <.0001 5 <.0001 0.7686 0.0781 <.0001 6 <.0001 0.0013 0.0122 7 <.0001 0.1380 <.0001 8 0.0013 0.1380 <.0001 9 0.0122 <.0001 <.0001 NOTE: To ensure overall protection level, only probabilities associated with pre-planned comparisons should be used. Standard LSMEAN n m v hasil LSMEAN Error Pr > |t| Number 1 1 1 3897.00000 450.79497 <.0001 1 1 1 2 5346.00000 450.79497 <.0001 2 1 1 3 5378.33333 450.79497 <.0001 3 1 2 1 4317.33333 450.79497 <.0001 4 1 2 2 4711.66667 450.79497 <.0001 5 1 2 3 6496.00000 450.79497 <.0001 6 1 3 1 5325.00000 450.79497 <.0001 7 1 3 2 5431.00000 450.79497 <.0001 8 1 3 3 7560.00000 450.79497 <.0001 9 2 1 1 4232.00000 450.79497 <.0001 10 2 1 2 5921.66667 450.79497 <.0001 11 2 1 3 6781.33333 450.79497 <.0001 12 2 2 1 4576.33333 450.79497 <.0001 13 2 2 2 5815.00000 450.79497 <.0001 14 2 2 3 7816.66667 450.79497 <.0001 15 2 3 1 5482.66667 450.79497 <.0001 16 2 3 2 6312.00000 450.79497 <.0001 17 2 3 3 9045.33333 450.79497 <.0001 18 3 1 1 5226.00000 450.79497 <.0001 19 3 1 2 5979.66667 450.79497 <.0001 20 3 1 3 7933.33333 450.79497 <.0001 21 3 2 1 5732.33333 450.79497 <.0001 22 3 2 2 6500.00000 450.79497 <.0001 23 3 2 3 8567.33333 450.79497 <.0001 24 3 3 1 6546.33333 450.79497 <.0001 25 3 3 2 7286.00000 450.79497 <.0001 26 3 3 3 9190.66667 450.79497 <.0001 27 Least Squares Means for effect n*m*v Pr > |t| for H0: LSMean(i)=LSMean(j) Dependent Variable: hasil i/j 1 2 3 4 5 6 7 1 0.0291 0.0259 0.5139 0.2095 0.0002 0.0314 2 0.0291 0.9598 0.1154 0.3264 0.0796 0.9739 3 0.0259 0.9598 0.1047 0.3027 0.0881 0.9338 4 0.5139 0.1154 0.1047 0.5401 0.0016 0.1227 5 0.2095 0.3264 0.3027 0.5401 0.0082 0.3424 6 0.0002 0.0796 0.0881 0.0016 0.0082 0.0745 7 0.0314 0.9739 0.9338 0.1227 0.3424 0.0745 8 0.0214 0.8947 0.9346 0.0892 0.2666 0.1035 0.8689 9 <.0001 0.0014 0.0016 <.0001 <.0001 0.1038 0.0012 10 0.6025 0.0891 0.0805 0.8943 0.4567 0.0011 0.0950 11 0.0031 0.3725 0.3997 0.0164 0.0657 0.3736 0.3556 12 <.0001 0.0306 0.0343 0.0004 0.0025 0.6571 0.0283

A r s y i l H e n d r a S a p u t r a | J 2 E 0 0 8 0 0 9 | 13

The SAS System The GLM Procedure Least Squares Means Least Squares Means for effect n*m*v Pr > |t| for H0: LSMean(i)=LSMean(j) Dependent Variable: hasil i/j 1 2 3 4 5 6 7 13 0.2937 0.2352 0.2165 0.6870 0.8331 0.0047 0.2480 14 0.0048 0.4667 0.4978 0.0244 0.0921 0.2925 0.4471 15 <.0001 0.0004 0.0005 <.0001 <.0001 0.0455 0.0004 16 0.0176 0.8315 0.8709 0.0759 0.2344 0.1207 0.8061 17 0.0006 0.1384 0.1517 0.0035 0.0167 0.7745 0.1303 18 <.0001 <.0001 <.0001 <.0001 <.0001 0.0003 <.0001 19 0.0443 0.8518 0.8125 0.1627 0.4251 0.0540 0.8775 20 0.0024 0.3269 0.3518 0.0132 0.0543 0.4233 0.3113 21 <.0001 0.0003 0.0003 <.0001 <.0001 0.0303 0.0002 22 0.0067 0.5483 0.5821 0.0328 0.1181 0.2388 0.5269 23 0.0002 0.0786 0.0870 0.0016 0.0081 0.9950 0.0736 24 <.0001 <.0001 <.0001 <.0001 <.0001 0.0025 <.0001 25 0.0002 0.0678 0.0752 0.0013 0.0067 0.9375 0.0634 26 <.0001 0.0044 0.0050 <.0001 0.0003 0.2233 0.0040 27 <.0001 <.0001 <.0001 <.0001 <.0001 0.0002 <.0001 Least Squares Means for effect n*m*v Pr > |t| for H0: LSMean(i)=LSMean(j) Dependent Variable: hasil i/j 8 9 10 11 12 13 14 1 0.0214 <.0001 0.6025 0.0031 <.0001 0.2937 0.0048 2 0.8947 0.0014 0.0891 0.3725 0.0306 0.2352 0.4667 3 0.9346 0.0016 0.0805 0.3997 0.0343 0.2165 0.4978 4 0.0892 <.0001 0.8943 0.0164 0.0004 0.6870 0.0244 5 0.2666 <.0001 0.4567 0.0657 0.0025 0.8331 0.0921 6 0.1035 0.1038 0.0011 0.3736 0.6571 0.0047 0.2925 7 0.8689 0.0012 0.0950 0.3556 0.0283 0.2480 0.4471 8 0.0020 0.0681 0.4465 0.0411 0.1884 0.5507 9 0.0020 <.0001 0.0145 0.2299 <.0001 0.0096 10 0.0681 <.0001 0.0119 0.0003 0.5924 0.0178 11 0.4465 0.0145 0.0119 0.1859 0.0419 0.8681 12 0.0411 0.2299 0.0003 0.1859 0.0014 0.1383 13 0.1884 <.0001 0.5924 0.0419 0.0014 0.0599 14 0.5507 0.0096 0.0178 0.8681 0.1383 0.0599 15 0.0006 0.6896 <.0001 0.0052 0.1131 <.0001 0.0034 16 0.9359 0.0024 0.0576 0.4955 0.0490 0.1637 0.6054 17 0.1755 0.0581 0.0024 0.5442 0.4664 0.0099 0.4407 18 <.0001 0.0255 <.0001 <.0001 0.0011 <.0001 <.0001 19 0.7496 0.0008 0.1277 0.2824 0.0198 0.3150 0.3617 20 0.3951 0.0180 0.0095 0.9280 0.2167 0.0342 0.7977 21 0.0004 0.5618 <.0001 0.0032 0.0791 <.0001 0.0021 22 0.6393 0.0069 0.0242 0.7682 0.1086 0.0781 0.8976 23 0.1022 0.1051 0.0011 0.3704 0.6616 0.0047 0.2898 24 <.0001 0.1228 <.0001 0.0002 0.0081 <.0001 0.0001 25 0.0887 0.1206 0.0009 0.3337 0.7146 0.0038 0.2589 26 0.0062 0.6699 <.0001 0.0392 0.4338 0.0001 0.0269 27 <.0001 0.0149 <.0001 <.0001 0.0006 <.0001 <.0001 Least Squares Means for effect n*m*v Pr > |t| for H0: LSMean(i)=LSMean(j) Dependent Variable: hasil i/j 15 16 17 18 19 20 21 1 <.0001 0.0176 0.0006 <.0001 0.0443 0.0024 <.0001 2 0.0004 0.8315 0.1384 <.0001 0.8518 0.3269 0.0003 3 0.0005 0.8709 0.1517 <.0001 0.8125 0.3518 0.0003 4 <.0001 0.0759 0.0035 <.0001 0.1627 0.0132 <.0001 5 <.0001 0.2344 0.0167 <.0001 0.4251 0.0543 <.0001 6 0.0455 0.1207 0.7745 0.0003 0.0540 0.4233 0.0303 7 0.0004 0.8061 0.1303 <.0001 0.8775 0.3113 0.0002 8 0.0006 0.9359 0.1755 <.0001 0.7496 0.3951 0.0004

A r s y i l H e n d r a S a p u t r a | J 2 E 0 0 8 0 0 9 | 14

The SAS System The GLM Procedure Least Squares Means Least Squares Means for effect n*m*v Pr > |t| for H0: LSMean(i)=LSMean(j) Dependent Variable: hasil i/j 15 16 17 18 19 20 21 9 0.6896 0.0024 0.0581 0.0255 0.0008 0.0180 0.5618 10 <.0001 0.0576 0.0024 <.0001 0.1277 0.0095 <.0001 11 0.0052 0.4955 0.5442 <.0001 0.2824 0.9280 0.0032 12 0.1131 0.0490 0.4664 0.0011 0.0198 0.2167 0.0791 13 <.0001 0.1637 0.0099 <.0001 0.3150 0.0342 <.0001 14 0.0034 0.6054 0.4407 <.0001 0.3617 0.7977 0.0021 15 0.0008 0.0238 0.0619 0.0003 0.0066 0.8558 16 0.0008 0.2016 <.0001 0.6896 0.4407 0.0005 17 0.0238 0.2016 0.0001 0.0971 0.6054 0.0154 18 0.0619 <.0001 0.0001 <.0001 <.0001 0.0896 19 0.0003 0.6896 0.0971 <.0001 0.2449 0.0001 20 0.0066 0.4407 0.6054 <.0001 0.2449 0.0041 21 0.8558 0.0005 0.0154 0.0896 0.0001 0.0041 22 0.0024 0.6976 0.3693 <.0001 0.4323 0.7003 0.0014 23 0.0462 0.1193 0.7698 0.0003 0.0533 0.4198 0.0308 24 0.2467 <.0001 0.0011 0.4583 <.0001 0.0003 0.3266 25 0.0539 0.1039 0.7153 0.0004 0.0456 0.3800 0.0362 26 0.4107 0.0076 0.1353 0.0090 0.0026 0.0478 0.3167 27 0.0379 <.0001 <.0001 0.8210 <.0001 <.0001 0.0563 Least Squares Means for effect n*m*v Pr > |t| for H0: LSMean(i)=LSMean(j) Dependent Variable: hasil i/j 22 23 24 25 26 27 1 0.0067 0.0002 <.0001 0.0002 <.0001 <.0001 2 0.5483 0.0786 <.0001 0.0678 0.0044 <.0001 3 0.5821 0.0870 <.0001 0.0752 0.0050 <.0001 4 0.0328 0.0016 <.0001 0.0013 <.0001 <.0001 5 0.1181 0.0081 <.0001 0.0067 0.0003 <.0001 6 0.2388 0.9950 0.0025 0.9375 0.2233 0.0002 7 0.5269 0.0736 <.0001 0.0634 0.0040 <.0001 8 0.6393 0.1022 <.0001 0.0887 0.0062 <.0001 9 0.0069 0.1051 0.1228 0.1206 0.6699 0.0149 10 0.0242 0.0011 <.0001 0.0009 <.0001 <.0001 11 0.7682 0.3704 0.0002 0.3337 0.0392 <.0001 12 0.1086 0.6616 0.0081 0.7146 0.4338 0.0006 13 0.0781 0.0047 <.0001 0.0038 0.0001 <.0001 14 0.8976 0.2898 0.0001 0.2589 0.0269 <.0001 15 0.0024 0.0462 0.2467 0.0539 0.4107 0.0379 16 0.6976 0.1193 <.0001 0.1039 0.0076 <.0001 17 0.3693 0.7698 0.0011 0.7153 0.1353 <.0001 18 <.0001 0.0003 0.4583 0.0004 0.0090 0.8210 19 0.4323 0.0533 <.0001 0.0456 0.0026 <.0001 20 0.7003 0.4198 0.0003 0.3800 0.0478 <.0001 21 0.0014 0.0308 0.3266 0.0362 0.3167 0.0563 22 0.2364 <.0001 0.2098 0.0199 <.0001 23 0.2364 0.0026 0.9425 0.2256 0.0002 24 <.0001 0.0026 0.0031 0.0520 0.3347 25 0.2098 0.9425 0.0031 0.2536 0.0002 26 0.0199 0.2256 0.0520 0.2536 0.0050 27 <.0001 0.0002 0.3347 0.0002 0.0050 NOTE: To ensure overall protection level, only probabilities associated with pre-planned comparisons should be used.

A r s y i l H e n d r a S a p u t r a | J 2 E 0 0 8 0 0 9 | 15

The SAS System The GLM Procedure Dependent Variable: hasil Tests of Hypotheses Using the Type III MS for kel(n) as an Error Term Source DF Type III SS Mean Square F Value Pr > F n 2 35054764.74 17527382.37 54.10 0.0013 kel 2 1005202.07 502601.04 1.55 0.3172 Tests of Hypotheses Using the Type III MS for kel(n*m) as an Error Term Source DF Type III SS Mean Square F Value Pr > F m 2 22785126.74 11392563.37 49.33 <.0001 n*m 4 161644.96 40411.24 0.17 0.9470

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OUTPUT 3 RANCANGAN PETAK TERBAGI BERJALUR (STRIP-SPLIT BLOK DESIGN) The SAS System The GLM Procedure Class Level Information Class Levels Values n 3 1 2 3 m 3 1 2 3 v 3 1 2 3 kel 3 1 2 3 Number of observations 81 The SAS System The GLM Procedure Dependent Variable: hasil Sum of Source DF Squares Mean Square F Value Pr > F Model 44 167761532.7 3812762.1 6.25 <.0001 Error 36 21947338.9 609648.3 Corrected Total 80 189708871.6 R-Square Coeff Var Root MSE hasil Mean 0.884310 12.59302 780.7998 6200.259 Source DF Type I SS Mean Square F Value Pr > F kel 2 1005202.07 502601.04 0.82 0.4466 n 2 35054764.74 17527382.37 28.75 <.0001 kel(n) 4 1295974.52 323993.63 0.53 0.7134 m 2 22785126.74 11392563.37 18.69 <.0001 kel(m) 4 1307180.52 326795.13 0.54 0.7101 n*m 4 161644.96 40411.24 0.07 0.9916 kel(n*m) 8 1464040.00 183005.00 0.30 0.9611 v 2 94648726.22 47324363.11 77.63 <.0001 n*v 4 3435560.81 858890.20 1.41 0.2507 m*v 4 4240349.48 1060087.37 1.74 0.1629 n*m*v 8 2362962.59 295370.32 0.48 0.8590 Source DF Type III SS Mean Square F Value Pr > F kel 2 1005202.07 502601.04 0.82 0.4466 n 2 35054764.74 17527382.37 28.75 <.0001 kel(n) 4 1295974.52 323993.63 0.53 0.7134 m 2 22785126.74 11392563.37 18.69 <.0001 kel(m) 4 1307180.52 326795.13 0.54 0.7101 n*m 4 161644.96 40411.24 0.07 0.9916 kel(n*m) 8 1464040.00 183005.00 0.30 0.9611 v 2 94648726.22 47324363.11 77.63 <.0001 n*v 4 3435560.81 858890.20 1.41 0.2507 m*v 4 4240349.48 1060087.37 1.74 0.1629 n*m*v 8 2362962.59 295370.32 0.48 0.8590 Tests of Hypotheses Using the Type III MS for kel(n) as an Error Term Source DF Type III SS Mean Square F Value Pr > F n 2 35054764.74 17527382.37 54.10 0.0013 kel 2 1005202.07 502601.04 1.55 0.3172

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The SAS System The GLM Procedure Duncan's Multiple Range Test for hasil NOTE: This test controls the Type I comparisonwise error rate, not the experimentwise error rate. Alpha 0.05 Error Degrees of Freedom 4 Error Mean Square 323993.6 Number of Means 2 3 Critical Range 430.1 439.5 Means with the same letter are not significantly different. Duncan Grouping Mean N n A 6995.7 27 3 B 6220.3 27 2 C 5384.7 27 1 The SAS System The GLM Procedure Duncan's Multiple Range Test for hasil NOTE: This test controls the Type I comparisonwise error rate, not the experimentwise error rate. Alpha 0.05 Error Degrees of Freedom 4 Error Mean Square 326795.1 Number of Means 2 3 Critical Range 432.0 441.4 Means with the same letter are not significantly different. Duncan Grouping Mean N m A 6908.8 27 3 B 6059.2 27 2 B B 5632.8 27 1 The SAS System The GLM Procedure Least Squares Means Standard LSMEAN n m hasil LSMEAN Error Pr > |t| Number 1 1 4873.77778 260.26659 <.0001 1 1 2 5175.00000 260.26659 <.0001 2 1 3 6105.33333 260.26659 <.0001 3 2 1 5645.00000 260.26659 <.0001 4 2 2 6069.33333 260.26659 <.0001 5 2 3 6946.66667 260.26659 <.0001 6 3 1 6379.66667 260.26659 <.0001 7 3 2 6933.22222 260.26659 <.0001 8 3 3 7674.33333 260.26659 <.0001 9

A r s y i l H e n d r a S a p u t r a | J 2 E 0 0 8 0 0 9 | 18

Least Squares Means for effect n*m Pr > |t| for H0: LSMean(i)=LSMean(j) Dependent Variable: hasil i/j 1 2 3 4 5 1 0.4185 0.0019 0.0432 0.0025 2 0.4185 0.0160 0.2098 0.0202 3 0.0019 0.0160 0.2191 0.9226 4 0.0432 0.2098 0.2191 0.2566 5 0.0025 0.0202 0.9226 0.2566 6 <.0001 <.0001 0.0283 0.0011 0.0225 7 0.0002 0.0024 0.4609 0.0535 0.4047 8 <.0001 <.0001 0.0307 0.0013 0.0245 9 <.0001 <.0001 0.0001 <.0001 0.0001 Least Squares Means for effect n*m Pr > |t| for H0: LSMean(i)=LSMean(j) Dependent Variable: hasil i/j 6 7 8 9 1 <.0001 0.0002 <.0001 <.0001 2 <.0001 0.0024 <.0001 <.0001 3 0.0283 0.4609 0.0307 0.0001 4 0.0011 0.0535 0.0013 <.0001 5 0.0225 0.4047 0.0245 0.0001 6 0.1322 0.9711 0.0557 7 0.1322 0.1413 0.0012 8 0.9711 0.1413 0.0516 9 0.0557 0.0012 0.0516 NOTE: To ensure overall protection level, only probabilities associated with pre-planned comparisons should be used. Standard LSMEAN n v hasil LSMEAN Error Pr > |t| Number 1 1 4513.11111 260.26659 <.0001 1 1 2 5162.88889 260.26659 <.0001 2 1 3 6478.11111 260.26659 <.0001 3 2 1 4763.66667 260.26659 <.0001 4 2 2 6016.22222 260.26659 <.0001 5 2 3 7881.11111 260.26659 <.0001 6 3 1 5834.88889 260.26659 <.0001 7 3 2 6588.55556 260.26659 <.0001 8 3 3 8563.77778 260.26659 <.0001 9 The SAS System The GLM Procedure Least Squares Means Least Squares Means for effect n*v Pr > |t| for H0: LSMean(i)=LSMean(j) Dependent Variable: hasil i/j 1 2 3 4 5 1 0.0860 <.0001 0.5004 0.0002 2 0.0860 0.0010 0.2853 0.0262 3 <.0001 0.0010 <.0001 0.2176 4 0.5004 0.2853 <.0001 0.0016 5 0.0002 0.0262 0.2176 0.0016 6 <.0001 <.0001 0.0005 <.0001 <.0001 7 0.0010 0.0762 0.0891 0.0062 0.6252 8 <.0001 0.0004 0.7659 <.0001 0.1287 9 <.0001 <.0001 <.0001 <.0001 <.0001 Least Squares Means for effect n*v Pr > |t| for H0: LSMean(i)=LSMean(j) Dependent Variable: hasil

A r s y i l H e n d r a S a p u t r a | J 2 E 0 0 8 0 0 9 | 19

i/j 6 7 8 9 1 <.0001 0.0010 <.0001 <.0001 2 <.0001 0.0762 0.0004 <.0001 3 0.0005 0.0891 0.7659 <.0001 4 <.0001 0.0062 <.0001 <.0001 5 <.0001 0.6252 0.1287 <.0001 6 <.0001 0.0012 0.0718 7 <.0001 0.0479 <.0001 8 0.0012 0.0479 <.0001 9 0.0718 <.0001 <.0001 NOTE: To ensure overall protection level, only probabilities associated with pre-planned comparisons should be used. Standard LSMEAN m v hasil LSMEAN Error Pr > |t| Number 1 1 4451.66667 260.26659 <.0001 1 1 2 5749.11111 260.26659 <.0001 2 1 3 6697.66667 260.26659 <.0001 3 2 1 4875.33333 260.26659 <.0001 4 2 2 5675.55556 260.26659 <.0001 5 2 3 7626.66667 260.26659 <.0001 6 3 1 5784.66667 260.26659 <.0001 7 3 2 6343.00000 260.26659 <.0001 8 3 3 8598.66667 260.26659 <.0001 9 Least Squares Means for effect m*v Pr > |t| for H0: LSMean(i)=LSMean(j) Dependent Variable: hasil i/j 1 2 3 4 5 1 0.0012 <.0001 0.2573 0.0020 2 0.0012 0.0142 0.0231 0.8427 3 <.0001 0.0142 <.0001 0.0087 4 0.2573 0.0231 <.0001 0.0364 5 0.0020 0.8427 0.0087 0.0364 6 <.0001 <.0001 0.0162 <.0001 <.0001 7 0.0009 0.9236 0.0179 0.0184 0.7686 8 <.0001 0.1154 0.3417 0.0003 0.0781 9 <.0001 <.0001 <.0001 <.0001 <.0001 The SAS System The GLM Procedure Least Squares Means Least Squares Means for effect m*v Pr > |t| for H0: LSMean(i)=LSMean(j) Dependent Variable: hasil i/j 6 7 8 9 1 <.0001 0.0009 <.0001 <.0001 2 <.0001 0.9236 0.1154 <.0001 3 0.0162 0.0179 0.3417 <.0001 4 <.0001 0.0184 0.0003 <.0001 5 <.0001 0.7686 0.0781 <.0001 6 <.0001 0.0013 0.0122 7 <.0001 0.1380 <.0001 8 0.0013 0.1380 <.0001 9 0.0122 <.0001 <.0001 NOTE: To ensure overall protection level, only probabilities associated with pre-planned comparisons should be used. Standard LSMEAN n m v hasil LSMEAN Error Pr > |t| Number

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1 1 1 3897.00000 450.79497 <.0001 1 1 1 2 5346.00000 450.79497 <.0001 2 1 1 3 5378.33333 450.79497 <.0001 3 1 2 1 4317.33333 450.79497 <.0001 4 1 2 2 4711.66667 450.79497 <.0001 5 1 2 3 6496.00000 450.79497 <.0001 6 1 3 1 5325.00000 450.79497 <.0001 7 1 3 2 5431.00000 450.79497 <.0001 8 1 3 3 7560.00000 450.79497 <.0001 9 2 1 1 4232.00000 450.79497 <.0001 10 2 1 2 5921.66667 450.79497 <.0001 11 2 1 3 6781.33333 450.79497 <.0001 12 2 2 1 4576.33333 450.79497 <.0001 13 2 2 2 5815.00000 450.79497 <.0001 14 2 2 3 7816.66667 450.79497 <.0001 15 2 3 1 5482.66667 450.79497 <.0001 16 2 3 2 6312.00000 450.79497 <.0001 17 2 3 3 9045.33333 450.79497 <.0001 18 3 1 1 5226.00000 450.79497 <.0001 19 3 1 2 5979.66667 450.79497 <.0001 20 3 1 3 7933.33333 450.79497 <.0001 21 3 2 1 5732.33333 450.79497 <.0001 22 3 2 2 6500.00000 450.79497 <.0001 23 3 2 3 8567.33333 450.79497 <.0001 24 3 3 1 6546.33333 450.79497 <.0001 25 3 3 2 7286.00000 450.79497 <.0001 26 3 3 3 9190.66667 450.79497 <.0001 27 Least Squares Means for effect n*m*v Pr > |t| for H0: LSMean(i)=LSMean(j) Dependent Variable: hasil i/j 1 2 3 4 5 6 7 1 0.0291 0.0259 0.5139 0.2095 0.0002 0.0314 2 0.0291 0.9598 0.1154 0.3264 0.0796 0.9739 3 0.0259 0.9598 0.1047 0.3027 0.0881 0.9338 4 0.5139 0.1154 0.1047 0.5401 0.0016 0.1227 5 0.2095 0.3264 0.3027 0.5401 0.0082 0.3424 6 0.0002 0.0796 0.0881 0.0016 0.0082 0.0745 7 0.0314 0.9739 0.9338 0.1227 0.3424 0.0745 8 0.0214 0.8947 0.9346 0.0892 0.2666 0.1035 0.8689 9 <.0001 0.0014 0.0016 <.0001 <.0001 0.1038 0.0012 10 0.6025 0.0891 0.0805 0.8943 0.4567 0.0011 0.0950 11 0.0031 0.3725 0.3997 0.0164 0.0657 0.3736 0.3556 12 <.0001 0.0306 0.0343 0.0004 0.0025 0.6571 0.0283 The SAS System The GLM Procedure Least Squares Means Least Squares Means for effect n*m*v Pr > |t| for H0: LSMean(i)=LSMean(j) Dependent Variable: hasil i/j 1 2 3 4 5 6 7 13 0.2937 0.2352 0.2165 0.6870 0.8331 0.0047 0.2480 14 0.0048 0.4667 0.4978 0.0244 0.0921 0.2925 0.4471 15 <.0001 0.0004 0.0005 <.0001 <.0001 0.0455 0.0004 16 0.0176 0.8315 0.8709 0.0759 0.2344 0.1207 0.8061 17 0.0006 0.1384 0.1517 0.0035 0.0167 0.7745 0.1303 18 <.0001 <.0001 <.0001 <.0001 <.0001 0.0003 <.0001 19 0.0443 0.8518 0.8125 0.1627 0.4251 0.0540 0.8775 20 0.0024 0.3269 0.3518 0.0132 0.0543 0.4233 0.3113 21 <.0001 0.0003 0.0003 <.0001 <.0001 0.0303 0.0002 22 0.0067 0.5483 0.5821 0.0328 0.1181 0.2388 0.5269 23 0.0002 0.0786 0.0870 0.0016 0.0081 0.9950 0.0736 24 <.0001 <.0001 <.0001 <.0001 <.0001 0.0025 <.0001 25 0.0002 0.0678 0.0752 0.0013 0.0067 0.9375 0.0634 26 <.0001 0.0044 0.0050 <.0001 0.0003 0.2233 0.0040 27 <.0001 <.0001 <.0001 <.0001 <.0001 0.0002 <.0001 Least Squares Means for effect n*m*v Pr > |t| for H0: LSMean(i)=LSMean(j)

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Dependent Variable: hasil i/j 8 9 10 11 12 13 14 1 0.0214 <.0001 0.6025 0.0031 <.0001 0.2937 0.0048 2 0.8947 0.0014 0.0891 0.3725 0.0306 0.2352 0.4667 3 0.9346 0.0016 0.0805 0.3997 0.0343 0.2165 0.4978 4 0.0892 <.0001 0.8943 0.0164 0.0004 0.6870 0.0244 5 0.2666 <.0001 0.4567 0.0657 0.0025 0.8331 0.0921 6 0.1035 0.1038 0.0011 0.3736 0.6571 0.0047 0.2925 7 0.8689 0.0012 0.0950 0.3556 0.0283 0.2480 0.4471 8 0.0020 0.0681 0.4465 0.0411 0.1884 0.5507 9 0.0020 <.0001 0.0145 0.2299 <.0001 0.0096 10 0.0681 <.0001 0.0119 0.0003 0.5924 0.0178 11 0.4465 0.0145 0.0119 0.1859 0.0419 0.8681 12 0.0411 0.2299 0.0003 0.1859 0.0014 0.1383 13 0.1884 <.0001 0.5924 0.0419 0.0014 0.0599 14 0.5507 0.0096 0.0178 0.8681 0.1383 0.0599 15 0.0006 0.6896 <.0001 0.0052 0.1131 <.0001 0.0034 16 0.9359 0.0024 0.0576 0.4955 0.0490 0.1637 0.6054 17 0.1755 0.0581 0.0024 0.5442 0.4664 0.0099 0.4407 18 <.0001 0.0255 <.0001 <.0001 0.0011 <.0001 <.0001 19 0.7496 0.0008 0.1277 0.2824 0.0198 0.3150 0.3617 20 0.3951 0.0180 0.0095 0.9280 0.2167 0.0342 0.7977 21 0.0004 0.5618 <.0001 0.0032 0.0791 <.0001 0.0021 22 0.6393 0.0069 0.0242 0.7682 0.1086 0.0781 0.8976 23 0.1022 0.1051 0.0011 0.3704 0.6616 0.0047 0.2898 24 <.0001 0.1228 <.0001 0.0002 0.0081 <.0001 0.0001 25 0.0887 0.1206 0.0009 0.3337 0.7146 0.0038 0.2589 26 0.0062 0.6699 <.0001 0.0392 0.4338 0.0001 0.0269 27 <.0001 0.0149 <.0001 <.0001 0.0006 <.0001 <.0001 Least Squares Means for effect n*m*v Pr > |t| for H0: LSMean(i)=LSMean(j) Dependent Variable: hasil i/j 15 16 17 18 19 20 21 1 <.0001 0.0176 0.0006 <.0001 0.0443 0.0024 <.0001 2 0.0004 0.8315 0.1384 <.0001 0.8518 0.3269 0.0003 3 0.0005 0.8709 0.1517 <.0001 0.8125 0.3518 0.0003 4 <.0001 0.0759 0.0035 <.0001 0.1627 0.0132 <.0001 5 <.0001 0.2344 0.0167 <.0001 0.4251 0.0543 <.0001 6 0.0455 0.1207 0.7745 0.0003 0.0540 0.4233 0.0303 7 0.0004 0.8061 0.1303 <.0001 0.8775 0.3113 0.0002 8 0.0006 0.9359 0.1755 <.0001 0.7496 0.3951 0.0004 The SAS System The GLM Procedure Least Squares Means Least Squares Means for effect n*m*v Pr > |t| for H0: LSMean(i)=LSMean(j) Dependent Variable: hasil i/j 15 16 17 18 19 20 21 9 0.6896 0.0024 0.0581 0.0255 0.0008 0.0180 0.5618 10 <.0001 0.0576 0.0024 <.0001 0.1277 0.0095 <.0001 11 0.0052 0.4955 0.5442 <.0001 0.2824 0.9280 0.0032 12 0.1131 0.0490 0.4664 0.0011 0.0198 0.2167 0.0791 13 <.0001 0.1637 0.0099 <.0001 0.3150 0.0342 <.0001 14 0.0034 0.6054 0.4407 <.0001 0.3617 0.7977 0.0021 15 0.0008 0.0238 0.0619 0.0003 0.0066 0.8558 16 0.0008 0.2016 <.0001 0.6896 0.4407 0.0005 17 0.0238 0.2016 0.0001 0.0971 0.6054 0.0154 18 0.0619 <.0001 0.0001 <.0001 <.0001 0.0896 19 0.0003 0.6896 0.0971 <.0001 0.2449 0.0001 20 0.0066 0.4407 0.6054 <.0001 0.2449 0.0041 21 0.8558 0.0005 0.0154 0.0896 0.0001 0.0041 22 0.0024 0.6976 0.3693 <.0001 0.4323 0.7003 0.0014 23 0.0462 0.1193 0.7698 0.0003 0.0533 0.4198 0.0308 24 0.2467 <.0001 0.0011 0.4583 <.0001 0.0003 0.3266 25 0.0539 0.1039 0.7153 0.0004 0.0456 0.3800 0.0362 26 0.4107 0.0076 0.1353 0.0090 0.0026 0.0478 0.3167 27 0.0379 <.0001 <.0001 0.8210 <.0001 <.0001 0.0563

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Least Squares Means for effect n*m*v Pr > |t| for H0: LSMean(i)=LSMean(j) Dependent Variable: hasil i/j 22 23 24 25 26 27 1 0.0067 0.0002 <.0001 0.0002 <.0001 <.0001 2 0.5483 0.0786 <.0001 0.0678 0.0044 <.0001 3 0.5821 0.0870 <.0001 0.0752 0.0050 <.0001 4 0.0328 0.0016 <.0001 0.0013 <.0001 <.0001 5 0.1181 0.0081 <.0001 0.0067 0.0003 <.0001 6 0.2388 0.9950 0.0025 0.9375 0.2233 0.0002 7 0.5269 0.0736 <.0001 0.0634 0.0040 <.0001 8 0.6393 0.1022 <.0001 0.0887 0.0062 <.0001 9 0.0069 0.1051 0.1228 0.1206 0.6699 0.0149 10 0.0242 0.0011 <.0001 0.0009 <.0001 <.0001 11 0.7682 0.3704 0.0002 0.3337 0.0392 <.0001 12 0.1086 0.6616 0.0081 0.7146 0.4338 0.0006 13 0.0781 0.0047 <.0001 0.0038 0.0001 <.0001 14 0.8976 0.2898 0.0001 0.2589 0.0269 <.0001 15 0.0024 0.0462 0.2467 0.0539 0.4107 0.0379 16 0.6976 0.1193 <.0001 0.1039 0.0076 <.0001 17 0.3693 0.7698 0.0011 0.7153 0.1353 <.0001 18 <.0001 0.0003 0.4583 0.0004 0.0090 0.8210 19 0.4323 0.0533 <.0001 0.0456 0.0026 <.0001 20 0.7003 0.4198 0.0003 0.3800 0.0478 <.0001 21 0.0014 0.0308 0.3266 0.0362 0.3167 0.0563 22 0.2364 <.0001 0.2098 0.0199 <.0001 23 0.2364 0.0026 0.9425 0.2256 0.0002 24 <.0001 0.0026 0.0031 0.0520 0.3347 25 0.2098 0.9425 0.0031 0.2536 0.0002 26 0.0199 0.2256 0.0520 0.2536 0.0050 27 <.0001 0.0002 0.3347 0.0002 0.0050 NOTE: To ensure overall protection level, only probabilities associated with pre-planned comparisons should be used. The SAS System The GLM Procedure Dependent Variable: hasil Tests of Hypotheses Using the Type III MS for kel(n) as an Error Term Source DF Type III SS Mean Square F Value Pr > F n 2 35054764.74 17527382.37 54.10 0.0013 kel 2 1005202.07 502601.04 1.55 0.3172 Tests of Hypotheses Using the Type III MS for kel(m) as an Error Term Source DF Type III SS Mean Square F Value Pr > F m 2 22785126.74 11392563.37 34.86 0.0029 Tests of Hypotheses Using the Type III MS for kel(n*m) as an Error Term Source DF Type III SS Mean Square F Value Pr > F n*m 4 161644.9630 40411.2407 0.22 0.9194