LAMPIRAN 1
Normalitas Proksimat Mie Instant Goreng Kacang Hijau
Tests of Normality
.157
6
.200*
.943
6
.685
.260
6
.200*
.845
6
.143
.232
6
.200*
.937
6
.636
.207
6
.200*
.924
6
.536
.208
6
.200*
.898
6
.362
.253
6
.200*
.884
6
.286
.139
6
.200*
.983
6
.966
.170
6
.200*
.962
6
.838
.201
6
.200*
.923
6
.528
.185
6
.200*
.974
6
.918
.186
6
.200*
.920
6
.502
.244
6
.200*
.933
6
.600
.214
6
.200*
.897
6
.354
.184
6
.200*
.930
6
.584
.155
6
.200*
.967
6
.872
.154
6
.200*
.944
6
.694
.238
6
.200*
.924
6
.531
.197
6
.200*
.931
6
.585
.135
6
.200*
.968
6
.876
.206
6
.200*
.949
6
.734
.267
6
.200*
.826
6
.100
.282
6
.148
.805
6
.066
.246
6
.200*
.872
6
.233
.227
6
.200*
.959
6
.809
.215
6
.200*
.887
6
.304
.226
6
.200*
.961
6
.831
.196
6
.200*
.962
6
.837
.245
6
.200*
.877
6
.257
perlakuan
0%
25%
40%
55%
0%
25%
40%
55%
0%
25%
40%
55%
0%
25%
40%
55%
0%
25%
40%
55%
0%
25%
40%
55%
0%
25%
40%
55%
air
lemak
abu
serat
protein
kalsium
Karbohidrat
Statistic
df
Sig.
Statistic
df
Sig.
Kolmogorov-Smirnov
aShapiro-Wilk
This is a lower bound of the true significance.
*.
Lilliefors Significance Correction
a.
Deskriptif Mie Instant Goreng Kacang Hijau
Descriptives6 3.2683 .17360 .07087 3.0862 3.4505 3.07 3.51
6 4.1650 .23236 .09486 3.9212 4.4088 3.73 4.38
6 4.2700 .21005 .08575 4.0496 4.4904 3.97 4.51
6 4.4283 .14959 .06107 4.2714 4.5853 4.22 4.60
24 4.0329 .49522 .10109 3.8238 4.2420 3.07 4.60
6 18.9545 .31608 .12904 18.6228 19.2862 18.61 19.35
6 15.0998 .24879 .10157 14.8387 15.3609 14.86 15.55
6 17.9683 .20596 .08408 17.7522 18.1845 17.67 18.23
6 15.8900 .28771 .11746 15.5881 16.1919 15.53 16.34
24 16.9782 1.60199 .32700 16.3017 17.6546 14.86 19.35
6 1.6340 .06186 .02526 1.5691 1.6989 1.55 1.71
6 2.0333 .08756 .03575 1.9414 2.1252 1.90 2.15
6 2.2175 .12624 .05154 2.0850 2.3500 2.05 2.36
6 2.7608 .05572 .02275 2.7024 2.8193 2.70 2.85
24 2.1614 .42194 .08613 1.9832 2.3396 1.55 2.85
6 11.2652 .70548 .28801 10.5248 12.0055 10.52 12.18
6 12.3603 .41946 .17124 11.9201 12.8005 11.73 12.81
6 13.7690 .62593 .25554 13.1121 14.4259 12.97 14.62
6 14.7620 .33138 .13528 14.4142 15.1098 14.25 15.11
24 13.0391 1.45256 .29650 12.4258 13.6525 10.52 15.11
6 4.6807 .77398 .31597 3.8684 5.4929 3.38 5.49
6 10.1798 1.04520 .42670 9.0830 11.2767 8.82 11.45
6 14.6278 .87714 .35809 13.7073 15.5483 13.32 15.66
6 20.0317 .86030 .35122 19.1288 20.9345 18.92 21.51
24 12.3800 5.83219 1.19049 9.9173 14.8427 3.38 21.51
6 27.4417 .67520 .27565 26.7331 28.1502 26.88 28.45
6 27.8000 2.85539 1.16571 24.8035 30.7965 22.35 30.08
6 28.0117 2.03071 .82903 25.8806 30.1428 24.33 29.90
6 32.0867 2.51218 1.02559 29.4503 34.7230 28.04 35.70
24 28.8350 2.80374 .57231 27.6511 30.0189 22.35 35.70
6 60.1983 .67863 .27705 59.4862 60.9105 59.29 60.90
6 56.1617 1.21976 .49797 54.8816 57.4417 54.16 57.74
6 47.1467 1.15979 .47348 45.9295 48.3638 45.28 48.83
6 42.1250 .96172 .39262 41.1157 43.1343 40.67 43.03
24 51.4079 7.36116 1.50259 48.2996 54.5163 40.67 60.90
0% 25% 40% 55% Total 0% 25% 40% 55% Total 0% 25% 40% 55% Total 0% 25% 40% 55% Total 0% 25% 40% 55% Total 0% 25% 40% 55% Total 0% 25% 40% 55% Total air
lemak
abu
serat
protein
kalsium
Karbohidrat
N Mean Std. Deviation Std. Error Lower Bound Upper Bound
95% Confidence Interval for Mean
Minimum Maximum
One Way Proksimat Mie Instant Goreng Kacang Hijau
kalsium
Duncan
a6
27.4417
6
27.8000
6
28.0117
6
32.0867
.674
1.000
perlakuan
0%
25%
40%
55%
Sig.
N
1
2
Subset for alpha = .05
Means for groups in homogeneous subsets are displayed.
Uses Harmonic Mean Sample Size = 6.000.
a.
lemak Duncana 6 15.0998 6 15.8900 6 17.9683 6 18.95451.000 1.000 1.000 1.000
perlakuan 25% 55% 40% 0% Sig.
N 1 2 3 4
Subset for alpha = .05
Means for groups in homogeneous subsets are displayed. Uses Harmonic Mean Sample Size = 6.000. a.
air
Duncana
6 3.2683
6 4.1650
6 4.2700 4.2700
6 4.4283
1.000 .360 .173
perlakuan 0% 25% 40% 55% Sig.
N 1 2 3
Subset for alpha = .05
Means for groups in homogeneous subsets are displayed. Uses Harmonic Mean Sample Size = 6.000. a.
abu
Duncan
a6
1.6340
6
2.0333
6
2.2175
6
2.7608
1.000
1.000
1.000
1.000
perlakuan
0%
25%
40%
55%
Sig.
N
1
2
3
4
Subset for alpha = .05
Means for groups in homogeneous subsets are displayed.
Uses Harmonic Mean Sample Size = 6.000.
a.
serat
Duncan
a6
11.2652
6
12.3603
6
13.7690
6
14.7620
1.000
1.000
1.000
1.000
perlakuan
0%
25%
40%
55%
Sig.
N
1
2
3
4
Subset for alpha = .05
Means for groups in homogeneous subsets are displayed.
Uses Harmonic Mean Sample Size = 6.000.
a.
protein
Duncan
a6
4.6807
6
10.1798
6
14.6278
6
20.0317
1.000
1.000
1.000
1.000
perlakuan
0%
25%
40%
55%
Sig.
N
1
2
3
4
Subset for alpha = .05
Means for groups in homogeneous subsets are displayed.
Uses Harmonic Mean Sample Size = 6.000.
a.
Karbohidrat
Duncan
a6
42.1250
6
47.1467
6
56.1617
6
60.1983
1.000
1.000
1.000
1.000
perlakuan
55%
40%
25%
0%
Sig.
N
1
2
3
4
Subset for alpha = .05
Means for groups in homogeneous subsets are displayed.
Uses Harmonic Mean Sample Size = 6.000.
a.
Normalitas Proksimat Mie Instant Kering Kacang Hijau
Tests of Normality
.263
6
.200*
.880
6
.269
.197
6
.200*
.944
6
.691
.186
6
.200*
.895
6
.344
.205
6
.200*
.954
6
.773
.219
6
.200*
.924
6
.534
.141
6
.200*
.973
6
.913
.171
6
.200*
.966
6
.863
.198
6
.200*
.921
6
.514
.222
6
.200*
.939
6
.649
.152
6
.200*
.962
6
.831
.291
6
.122
.901
6
.379
.274
6
.178
.861
6
.193
.278
6
.161
.910
6
.438
.201
6
.200*
.964
6
.848
.174
6
.200*
.979
6
.947
.203
6
.200*
.928
6
.563
.215
6
.200*
.943
6
.686
.252
6
.200*
.872
6
.236
.157
6
.200*
.954
6
.775
.181
6
.200*
.949
6
.729
.184
6
.200*
.974
6
.916
.217
6
.200*
.922
6
.519
.180
6
.200*
.954
6
.774
.302
6
.093
.893
6
.333
.307
6
.080
.804
6
.064
.162
6
.200*
.978
6
.941
.194
6
.200*
.918
6
.489
.163
6
.200*
.980
6
.954
perlakuan
0%
25%
40%
55%
0%
25%
40%
55%
0%
25%
40%
55%
0%
25%
40%
55%
0%
25%
40%
55%
0%
25%
40%
55%
0%
25%
40%
55%
air
lemak
abu
serat
protein
kalsium
Karbohidrat
Statistic
df
Sig.
Statistic
df
Sig.
Kolmogorov-Smirnov
aShapiro-Wilk
This is a lower bound of the true significance.
*.
Lilliefors Significance Correction
a.
Deskriptif Mie Instant Kering Kacang Hijau
Descriptives6 6.1950 .14369 .05866 6.0442 6.3458 5.95 6.33
6 6.7357 .24353 .09942 6.4801 6.9912 6.47 7.14
6 7.3975 .11198 .04572 7.2800 7.5150 7.27 7.53
6 7.5320 .18497 .07551 7.3379 7.7261 7.26 7.77
24 6.9650 .57324 .11701 6.7230 7.2071 5.95 7.77
6 1.5325 .15106 .06167 1.3740 1.6910 1.37 1.79
6 1.3250 .14405 .05881 1.1738 1.4762 1.15 1.55
6 1.4917 .13197 .05388 1.3532 1.6302 1.30 1.65
6 1.4433 .20510 .08373 1.2281 1.6586 1.20 1.70
24 1.4481 .16945 .03459 1.3766 1.5197 1.15 1.79
6 2.0238 .17170 .07010 1.8436 2.2040 1.80 2.25
6 2.1097 .18978 .07748 1.9105 2.3088 1.85 2.34
6 2.3588 .23853 .09738 2.1085 2.6092 2.00 2.75
6 2.8900 .06374 .02602 2.8231 2.9569 2.79 2.95
24 2.3456 .38260 .07810 2.1840 2.5071 1.80 2.95
6 7.9800 .31828 .12994 7.6460 8.3140 7.61 8.54
6 8.8430 .18822 .07684 8.6455 9.0405 8.59 9.12
6 9.4038 .26758 .10924 9.1230 9.6846 9.00 9.80
6 11.7172 .30297 .12369 11.3992 12.0351 11.36 12.10
24 9.4860 1.43707 .29334 8.8792 10.0928 7.61 12.10
6 7.0947 .16341 .06671 6.9232 7.2662 6.89 7.32
6 13.9002 .75780 .30937 13.1049 14.6954 13.01 14.75
6 17.6600 .41000 .16738 17.2297 18.0903 17.19 18.26
6 20.1840 .76826 .31364 19.3778 20.9902 19.28 21.51
24 14.7097 5.06778 1.03446 12.5698 16.8496 6.89 21.51
6 27.7867 1.31208 .53565 26.4097 29.1636 26.15 29.75
6 29.2183 .85803 .35029 28.3179 30.1188 27.75 30.14
6 31.9767 1.61009 .65732 30.2870 33.6664 29.72 33.92
6 42.4133 .42420 .17318 41.9682 42.8585 41.77 42.87
24 32.8488 5.94332 1.21317 30.3391 35.3584 26.15 42.87
6 75.1733 .29187 .11915 74.8670 75.4796 74.91 75.54
6 67.0867 .84713 .34584 66.1977 67.9757 65.97 68.32
6 61.6900 .76739 .31328 60.8847 62.4953 60.85 62.70
6 56.2333 .74741 .30513 55.4490 57.0177 55.11 57.24
24 65.0458 7.17383 1.46435 62.0166 68.0751 55.11 75.54
0% 25% 40% 55% Total 0% 25% 40% 55% Total 0% 25% 40% 55% Total 0% 25% 40% 55% Total 0% 25% 40% 55% Total 0% 25% 40% 55% Total 0% 25% 40% 55% Total air lemak abu serat protein kalsium Karbohidrat
N Mean Std. Deviation Std. Error Lower Bound Upper Bound 95% Confidence Interval for
Mean
Minimum Maximum
One Way Mie Instant Kering Kacang Hijau
air Duncana 6 6.1950 6 6.7357 6 7.3975 6 7.5320
1.000 1.000 .205
perlakuan 0% 25% 40% 55% Sig.
N 1 2 3
Subset for alpha = .05
Means for groups in homogeneous subsets are displayed.
Uses Harmonic Mean Sample Size = 6.000. a. lemak Duncana 6 1.3250 6 1.4433 6 1.4917 6 1.5325 .052 perlakuan 25% 55% 40% 0% Sig. N 1 Subset for alpha = .05
Means for groups in homogeneous subsets are displayed. Uses Harmonic Mean Sample Size = 6.000. a.
Karbohidrat
Duncana
6 56.2333
6 61.6900
6 67.0867
6 75.1733
1.000 1.000 1.000 1.000
perlakuan 55% 40% 25% 0% Sig.
N 1 2 3 4
Subset for alpha = .05
Means for groups in homogeneous subsets are displayed. Uses Harmonic Mean Sample Size = 6.000. a.
abu
Duncan
a6
2.0238
6
2.1097
6
2.3588
6
2.8900
.413
1.000
1.000
perlakuan
0%
25%
40%
55%
Sig.
N
1
2
3
Subset for alpha = .05
Means for groups in homogeneous subsets are disp
Uses Harmonic Mean Sample Size = 6.000.
a.
serat
Duncana
6 7.9800
6 8.8430
6 9.4038
6 11.7172
1.000 1.000 1.000 1.000
perlakuan 0% 25% 40% 55% Sig.
N 1 2 3 4
Subset for alpha = .05
Means for groups in homogeneous subsets are displayed. Uses Harmonic Mean Sample Size = 6.000. a.
protein
Duncana
6 7.0947
6 13.9002
6 17.6600
6 20.1840
1.000 1.000 1.000 1.000
perlakuan 0% 25% 40% 55% Sig.
N 1 2 3 4
Subset for alpha = .05
Means for groups in homogeneous subsets are displayed. Uses Harmonic Mean Sample Size = 6.000. a.
kalsium
Duncana
6 27.7867
6 29.2183
6 31.9767
6 42.4133
1.000 1.000 1.000 1.000
perlakuan 0% 25% 40% 55% Sig.
N 1 2 3 4
Subset for alpha = .05
Means for groups in homogeneous subsets are displayed. Uses Harmonic Mean Sample Size = 6.000. a.
NORMALITAS TEPUNG KACANG HIJAU
Tests of Normality
.178
6
.200*
.926
6
.548
.246
6
.200*
.935
6
.617
.169
6
.200*
.957
6
.800
.277
6
.167
.781
6
.040
.184
6
.200*
.976
6
.933
.267
6
.200*
.920
6
.508
.185
6
.200*
.973
6
.911
.238
6
.200*
.911
6
.446
.165
6
.200*
.969
6
.887
.281
6
.149
.819
6
.086
.272
6
.188
.868
6
.219
.284
6
.142
.804
6
.064
jenis_tepung
terigu
kacang hijau
terigu
kacang hijau
terigu
kacang hijau
terigu
kacang hijau
terigu
kacang hijau
terigu
kacang hijau
kadar_air
kadar_lemak
kadar_serat
kadar_protein
kadar_abu
karbohidrat
Statistic
df
Sig.
Statistic
df
Sig.
Kolmogorov-Smirnov
aShapiro-Wilk
This is a lower bound of the true significance.
*.
Lilliefors Significance Correction
a.
DESKRIPTIF TEPUNG KACANG HIJAU
Descriptives
6
11.6217
.03125
.01276
11.5889
11.6545
11.59
11.67
6
11.6233
.10633
.04341
11.5117
11.7349
11.44
11.75
12
11.6225
.07473
.02157
11.5750
11.6700
11.44
11.75
6
1.5717
.23710
.09680
1.3228
1.8205
1.29
1.90
6
.9233
.37511
.15314
.5297
1.3170
.20
1.21
12
1.2475
.45183
.13043
.9604
1.5346
.20
1.90
6
5.3200
.90100
.36783
4.3745
6.2655
4.04
6.63
6
13.2800
.59447
.24269
12.6561
13.9039
12.51
14.31
12
9.3000
4.22020
1.21827
6.6186
11.9814
4.04
14.31
6
11.6100
1.10730
.45205
10.4480
12.7720
10.22
13.41
6
21.8750
3.05807
1.24845
18.6658
25.0842
17.86
25.56
12
16.7425
5.79185
1.67196
13.0625
20.4225
10.22
25.56
6
.7733
.05354
.02186
.7171
.8295
.69
.84
6
4.5867
.10191
.04161
4.4797
4.6936
4.50
4.78
12
2.6800
1.99296
.57532
1.4137
3.9463
.69
4.78
6
69.1067
1.24880
.50982
67.7961
70.4172
66.97
70.22
6
47.7117
2.54654
1.03962
45.0392
50.3841
44.91
50.36
12
58.4092
11.33562
3.27231
51.2069
65.6115
44.91
70.22
terigu
kacang hijau
Total
terigu
kacang hijau
Total
terigu
kacang hijau
Total
terigu
kacang hijau
Total
terigu
kacang hijau
Total
terigu
kacang hijau
Total
kadar_air
kadar_lemak
kadar_serat
kadar_protein
kadar_abu
karbohidrat
N
Mean
Std. Deviation Std. Error Lower Bound Upper Bound
95% Confidence Interval for
Mean
COOKING YIELD MIE INSTANT KACANG HIJAU
Tests of Normality
.204
6
.200*
.945
6
.696
.264
6
.200*
.858
6
.184
.269
6
.200
.902
6
.388
.216
6
.200*
.923
6
.530
.168
6
.200*
.978
6
.944
.214
6
.200*
.938
6
.643
.322
6
.051
.869
6
.222
.182
6
.200*
.940
6
.662
perlakuan
MIK_0%
MIA_25%
MIB_40%
MIC_55%
MIK_0%
MIA_25%
MIB_40%
MIC_55%
Cooking_Yield_Goreng
Cooking_Yield_Kering
Statistic
df
Sig.
Statistic
df
Sig.
Kolmogorov-Smirnov
aShapiro-Wilk
This is a lower bound of the true significance.
*.
Lilliefors Significance Correction
a.
POST HOC COOKING YIELD MIE INSTANT KACANG HIJAU
NORMALITAS DAN DESKRIPTIF TBA dan KADAR AIR MIE INSTANT
KACANG HIJAU
Cooking_Yield_Goreng
Duncan
a6
246.9433
6
268.0550
6
288.8883
6
304.4450
1.000
1.000
1.000
1.000
perlakuan
MIK_0%
MIA_25%
MIB_40%
MIC_55%
Sig.
N
1
2
3
4
Subset for alpha = .05
Means for groups in homogeneous subsets are displayed.
Uses Harmonic Mean Sample Size = 6.000.
a.
Cooking_Yield_Kering
Duncan
a6
227.7783
6
242.2233
6
259.4450
6
271.1117
1.000
1.000
.089
perlakuan
MIK_0%
MIA_25%
MIB_40%
MIC_55%
Sig.
N
1
2
3
Subset for alpha = .05
Means for groups in homogeneous subsets are displayed.
Uses Harmonic Mean Sample Size = 6.000.
a.
Tests of Normality
.169 6 .200* .951 6 .745
.193 6 .200* .926 6 .553
.160 6 .200* .962 6 .832
.121 6 .200* .990 6 .989
.227 6 .200* .904 6 .396
.201 6 .200* .945 6 .700
.263 6 .200* .822 6 .092
.189 6 .200* .910 6 .435
.166 6 .200* .956 6 .788
.172 6 .200* .974 6 .921
.232 6 .200* .903 6 .392
.174 6 .200* .949 6 .730
.261 6 .200* .909 6 .433
.179 6 .200* .918 6 .492
.160 6 .200* .966 6 .861
.226 6 .200* .910 6 .438
.174 6 .200* .937 6 .638
.191 6 .200* .931 6 .587
.288 6 .132 .874 6 .242
.172 6 .200* .943 6 .683
.190 6 .200* .935 6 .615
.272 6 .189 .872 6 .233
.291 6 .124 .840 6 .130
.172 6 .200* .945 6 .700
.312 6 .070 .767 6 .029
.243 6 .200* .925 6 .539
.300 6 .097 .812 6 .075
.174 6 .200* .918 6 .489
.216 6 .200* .933 6 .604
.176 6 .200* .958 6 .802
.312 6 .069 .777 6 .036
.159 6 .200* .962 6 .835
.192 6 .200* .975 6 .921
.233 6 .200* .949 6 .732
.145 6 .200* .970 6 .890
.152 6 .200* .950 6 .737
.261 6 .200* .915 6 .473
.311 6 .072 .811 6 .073
.174 6 .200* .957 6 .793
.150 6 .200* .959 6 .813
.186 6 .200* .953 6 .764
.221 6 .200* .892 6 .327
.128 6 .200* .979 6 .948
.289 6 .129 .829 6 .106
.313 6 .067 .779 6 .038
.186 6 .200* .980 6 .953
.134 6 .200* .993 6 .996
.169 6 .200* .939 6 .647
.189 6 .200* .942 6 .678
.200 6 .200* .950 6 .739
.180 6 .200* .953 6 .762
.203 6 .200* .955 6 .778
.162 6 .200* .956 6 .792
.190 6 .200* .942 6 .674
.168 6 .200* .957 6 .798
.184 6 .200* .934 6 .611
.194 6 .200* .929 6 .576
.186 6 .200* .929 6 .571
.298 6 .104 .871 6 .231
.167 6 .200* .968 6 .876
.135 6 .200* .988 6 .983
.235 6 .200* .920 6 .508
.175 6 .200* .959 6 .812
.294 6 .115 .731 6 .013
.195 6 .200* .972 6 .905
.178 6 .200* .916 6 .477
.214 6 .200* .881 6 .274
.232 6 .200* .907 6 .419
.165 6 .200* .960 6 .823
.143 6 .200* .981 6 .954
.159 6 .200* .963 6 .840
.206 6 .200* .927 6 .558
pengujian MIK 0%_hari 0 MIA 25%_hari 0 MIB 40%_hari 0 MIC 55%_hari 0 MIK 0%_hari 7 MIA 25%_hari 7 MIB 40%_hari 7 MIK 0%_hari 14 MIA 25%_hari 14 MIB 40%_hari 14 MIC 55%_hari 14 MIK 0%_hari 21 MIA 25%_hari 21 MIB 40%_hari 21 MIC 55%_hari 21 MIK 0%_hari 28 MIA 25%_hari 28 MIB 40%_hari 28 MIC 55%_hari 28 MIK 0%_hari 35 MIA 25%_hari 35 MIB 40%_hari 35 MIC 55%_hari 35 MIK 0%_hari 42 MIA 25%_hari 42 MIB 40%_hari 42 MIC 55%_hari 42 MIK 0%_hari 49 MIA 25%_hari 49 MIB 40%_hari 49 MIC 55%_hari 49 MIK 0%_hari 56 MIA 25%_hari 56 MIB 40%_hari 56 MIC 55%_hari 56 MIC 55%_hari 7 MIK 0%_hari 0 MIA 25%_hari 0 MIB 40%_hari 0 MIC 55%_hari 0 MIK 0%_hari 7 MIA 25%_hari 7 MIB 40%_hari 7 MIK 0%_hari 14 MIA 25%_hari 14 MIB 40%_hari 14 MIC 55%_hari 14 MIK 0%_hari 21 MIA 25%_hari 21 MIB 40%_hari 21 MIC 55%_hari 21 MIK 0%_hari 28 MIA 25%_hari 28 MIB 40%_hari 28 MIC 55%_hari 28 MIK 0%_hari 35 MIA 25%_hari 35 MIB 40%_hari 35 MIC 55%_hari 35 MIK 0%_hari 42 MIA 25%_hari 42 MIB 40%_hari 42 MIC 55%_hari 42 MIK 0%_hari 49 MIA 25%_hari 49 MIB 40%_hari 49 MIC 55%_hari 49 MIK 0%_hari 56 MIA 25%_hari 56 MIB 40%_hari 56 MIC 55%_hari 56 MIC 55%_hari 7 TBA_Kering
TBA_Goreng
Statistic df Sig. Statistic df Sig.
Kolmogorov-Smirnov a Shapiro-Wilk
This is a lower bound of the true significance. *.
Lilliefors Significance Correction a.
Descriptives
6 .012017 .0044933 .0018344 .007301 .016732 .0040 .0171
6 .009000 .0017821 .0007276 .007130 .010870 .0056 .0105
6 .006450 .0013428 .0005482 .005041 .007859 .0042 .0080
6 .004517 .0009042 .0003692 .003568 .005466 .0035 .0059
6 .027983 .0022391 .0009141 .025634 .030333 .0248 .0307
6 .026850 .0046954 .0019169 .021922 .031778 .0225 .0349
6 .025467 .0024304 .0009922 .022916 .028017 .0225 .0293
6 .039250 .0066681 .0027222 .032252 .046248 .0330 .0519
6 .035117 .0098792 .0040331 .024749 .045484 .0269 .0541
6 .049783 .0091890 .0037514 .040140 .059427 .0363 .0636
6 .048617 .0038685 .0015793 .044557 .052676 .0431 .0543
6 .084050 .0120115 .0049037 .071445 .096655 .0693 .0992
6 .080883 .0053222 .0021728 .075298 .086469 .0730 .0868
6 .058350 .0174774 .0071351 .040009 .076691 .0293 .0789
6 .051517 .0057974 .0023668 .045433 .057601 .0442 .0592
6 .092067 .0116911 .0047729 .079798 .104336 .0763 .1067
6 .080333 .0036582 .0014935 .076494 .084172 .0756 .0849
6 .055783 .0048400 .0019759 .050704 .060863 .0501 .0625
6 .053900 .0027727 .0011320 .050990 .056810 .0505 .0576
6 .104767 .0077714 .0031727 .096611 .112922 .0922 .1130
6 .106967 .0077343 .0031575 .098850 .115083 .0976 .1172
6 .085250 .0167464 .0068367 .067676 .102824 .0559 .1032
6 .077267 .0132432 .0054065 .063369 .091165 .0552 .0901
6 .168083 .0038964 .0015907 .163994 .172172 .1629 .1732
6 .121650 .0031533 .0012873 .118341 .124959 .1168 .1257
6 .089867 .0014855 .0006064 .088308 .091426 .0878 .0915
6 .085717 .0026514 .0010824 .082934 .088499 .0826 .0901
6 .226367 .0313559 .0128010 .193461 .259273 .2052 .2878
6 .164800 .0033888 .0013835 .161244 .168356 .1594 .1697
6 .151800 .0125303 .0051155 .138650 .164950 .1395 .1706
6 .123667 .0117617 .0048017 .111323 .136010 .1065 .1350
6 .686233 .0167200 .0068259 .668687 .703780 .6699 .7130
6 .372650 .0456266 .0186270 .324768 .420532 .3196 .4409
6 .325217 .0171029 .0069822 .307268 .343165 .3037 .3524
6 .173750 .0188069 .0076779 .154013 .193487 .1493 .1989
6 .020233 .0057448 .0023453 .014205 .026262 .0101 .0267
216 .109062 .1277093 .0086895 .091934 .126189 .0035 .7130
6 .016083 .0020233 .0008260 .013960 .018207 .0133 .0185
6 .012983 .0012813 .0005231 .011639 .014328 .0115 .0147
6 .009483 .0010797 .0004408 .008350 .010616 .0080 .0108
6 .006333 .0017143 .0006998 .004534 .008132 .0040 .0087
6 .051317 .0083012 .0033889 .042605 .060028 .0419 .0620
6 .019200 .0026593 .0010857 .016409 .021991 .0157 .0225
6 .014700 .0062437 .0025490 .008148 .021252 .0028 .0204
6 .054233 .0100121 .0040874 .043726 .064740 .0402 .0648
6 .031467 .0081404 .0033233 .022924 .040010 .0218 .0428
6 .015300 .0036033 .0014711 .011519 .019081 .0094 .0199
6 .012517 .0039458 .0016109 .008376 .016658 .0054 .0166
6 .066933 .0017178 .0007013 .065131 .068736 .0648 .0693
6 .040833 .0011742 .0004794 .039601 .042066 .0395 .0424
6 .035467 .0042833 .0017487 .030972 .039962 .0307 .0410
6 .026017 .0034833 .0014221 .022361 .029672 .0208 .0302
6 .080900 .0053175 .0021709 .075320 .086480 .0716 .0863
6 .059383 .0038566 .0015745 .055336 .063431 .0527 .0636
6 .055833 .0056348 .0023004 .049920 .061747 .0494 .0634
6 .045733 .0033512 .0013681 .042216 .049250 .0426 .0512
6 .105233 .0045187 .0018448 .100491 .109975 .0990 .1104
6 .087650 .0035252 .0014392 .083951 .091349 .0826 .0915
6 .063683 .0041940 .0017122 .059282 .068085 .0580 .0681
6 .057717 .0107140 .0043740 .046473 .068960 .0440 .0690
6 .207533 .0047563 .0019418 .202542 .212525 .1998 .2127
6 .190350 .0079395 .0032413 .182018 .198682 .1846 .2055
6 .172967 .0048710 .0019886 .167855 .178078 .1652 .1781
6 .085017 .0117653 .0048032 .072670 .097364 .0744 .1013
6 .357433 .0073904 .0030171 .349678 .365189 .3480 .3657
6 .257017 .0080300 .0032783 .248590 .265444 .2459 .2661
6 .198550 .0237322 .0096886 .173645 .223455 .1615 .2263
6 .117183 .0098719 .0040302 .106823 .127543 .1090 .1306
6 .636267 .0055204 .0022537 .630473 .642060 .6290 .6433
6 .312867 .0180407 .0073651 .293934 .331799 .2841 .3379
6 .223017 .0070406 .0028743 .215628 .230405 .2118 .2314
6 .160417 .0058772 .0023994 .154249 .166584 .1512 .1673
6 .007833 .0014459 .0005903 .006316 .009351 .0056 .0094
216 .108207 .1271683 .0086527 .091152 .125262 .0028 .6433
MIK 0%_hari 0 MIA 25%_hari 0 MIB 40%_hari 0 MIC 55%_hari 0 MIK 0%_hari 7 MIA 25%_hari 7 MIB 40%_hari 7 MIK 0%_hari 14 MIA 25%_hari 14 MIB 40%_hari 14 MIC 55%_hari 14 MIK 0%_hari 21 MIA 25%_hari 21 MIB 40%_hari 21 MIC 55%_hari 21 MIK 0%_hari 28 MIA 25%_hari 28 MIB 40%_hari 28 MIC 55%_hari 28 MIK 0%_hari 35 MIA 25%_hari 35 MIB 40%_hari 35 MIC 55%_hari 35 MIK 0%_hari 42 MIA 25%_hari 42 MIB 40%_hari 42 MIC 55%_hari 42 MIK 0%_hari 49 MIA 25%_hari 49 MIB 40%_hari 49 MIC 55%_hari 49 MIK 0%_hari 56 MIA 25%_hari 56 MIB 40%_hari 56 MIC 55%_hari 56 MIC 55%_hari 7 Total MIK 0%_hari 0 MIA 25%_hari 0 MIB 40%_hari 0 MIC 55%_hari 0 MIK 0%_hari 7 MIA 25%_hari 7 MIB 40%_hari 7 MIK 0%_hari 14 MIA 25%_hari 14 MIB 40%_hari 14 MIC 55%_hari 14 MIK 0%_hari 21 MIA 25%_hari 21 MIB 40%_hari 21 MIC 55%_hari 21 MIK 0%_hari 28 MIA 25%_hari 28 MIB 40%_hari 28 MIC 55%_hari 28 MIK 0%_hari 35 MIA 25%_hari 35 MIB 40%_hari 35 MIC 55%_hari 35 MIK 0%_hari 42 MIA 25%_hari 42 MIB 40%_hari 42 MIC 55%_hari 42 MIK 0%_hari 49 MIA 25%_hari 49 MIB 40%_hari 49 MIC 55%_hari 49 MIK 0%_hari 56 MIA 25%_hari 56 MIB 40%_hari 56 MIC 55%_hari 56 MIC 55%_hari 7 Total TBA_Goreng
TBA_Kering
N Mean Std. Deviation Std. Error Lower Bound Upper Bound 95% Confidence Interval for
Mean
Minimum Maximum
Tests of Normality
.157 6 .200* .943 6 .685
.260 6 .200* .845 6 .143
.232 6 .200* .937 6 .636
.207 6 .200* .924 6 .536
.183 6 .200* .930 6 .579
.191 6 .200* .963 6 .841
.181 6 .200* .970 6 .895
.146 6 .200* .972 6 .906
.216 6 .200* .938 6 .647
.245 6 .200* .822 6 .091
.169 6 .200* .944 6 .692
.149 6 .200* .990 6 .990
.183 6 .200* .959 6 .813
.180 6 .200* .938 6 .647
.185 6 .200* .926 6 .549
.178 6 .200* .964 6 .848
.243 6 .200* .908 6 .423
.185 6 .200* .953 6 .767
.204 6 .200* .916 6 .477
.209 6 .200* .873 6 .239
.132 6 .200* .978 6 .944
.137 6 .200* .985 6 .974
.188 6 .200* .939 6 .649
.226 6 .200* .861 6 .194
.180 6 .200* .977 6 .937
.219 6 .200* .948 6 .728
.174 6 .200* .942 6 .672
.153 6 .200* .993 6 .994
.190 6 .200* .910 6 .437
.194 6 .200* .955 6 .783
.205 6 .200* .962 6 .832
.184 6 .200* .973 6 .913
.167 6 .200* .964 6 .851
.187 6 .200* .976 6 .932
.224 6 .200* .902 6 .385
.229 6 .200* .941 6 .670
.263 6 .200* .880 6 .269
.197 6 .200* .944 6 .691
.186 6 .200* .895 6 .344
.205 6 .200* .954 6 .773
.249 6 .200* .885 6 .292
.213 6 .200* .927 6 .559
.200 6 .200* .957 6 .799
.230 6 .200* .902 6 .384
.279 6 .160 .903 6 .394
.256 6 .200* .939 6 .654
.202 6 .200* .923 6 .525
.185 6 .200* .931 6 .588
.216 6 .200* .937 6 .636
.285 6 .139 .840 6 .130
.172 6 .200* .949 6 .735
.205 6 .200* .920 6 .504
.195 6 .200* .921 6 .512
.169 6 .200* .953 6 .767
.223 6 .200* .955 6 .783
.198 6 .200* .951 6 .751
.192 6 .200* .953 6 .764
.165 6 .200* .922 6 .522
.184 6 .200* .967 6 .869
.264 6 .200* .887 6 .301
.169 6 .200* .984 6 .970
.184 6 .200* .903 6 .390
.172 6 .200* .936 6 .628
.193 6 .200* .888 6 .306
.253 6 .200* .914 6 .466
.161 6 .200* .961 6 .830
.211 6 .200* .890 6 .316
.187 6 .200* .943 6 .684
.216 6 .200* .943 6 .684
.177 6 .200* .925 6 .543
.203 6 .200* .970 6 .894
.165 6 .200* .962 6 .838
pengujian MIK 0%_hari 0 MIA 25%_hari 0 MIB 40%_hari 0 MIC 55%_hari 0 MIK 0%_hari 7 MIA 25%_hari 7 MIB 40%_hari 7 MIK 0%_hari 14 MIA 25%_hari 14 MIB 40%_hari 14 MIC 55%_hari 14 MIK 0%_hari 21 MIA 25%_hari 21 MIB 40%_hari 21 MIC 55%_hari 21 MIK 0%_hari 28 MIA 25%_hari 28 MIB 40%_hari 28 MIC 55%_hari 28 MIK 0%_hari 35 MIA 25%_hari 35 MIB 40%_hari 35 MIC 55%_hari 35 MIK 0%_hari 42 MIA 25%_hari 42 MIB 40%_hari 42 MIC 55%_hari 42 MIK 0%_hari 49 MIA 25%_hari 49 MIB 40%_hari 49 MIC 55%_hari 49 MIK 0%_hari 56 MIA 25%_hari 56 MIB 40%_hari 56 MIC 55%_hari 56 MIC 55%_hari 7 MIK 0%_hari 0 MIA 25%_hari 0 MIB 40%_hari 0 MIC 55%_hari 0 MIK 0%_hari 7 MIA 25%_hari 7 MIB 40%_hari 7 MIK 0%_hari 14 MIA 25%_hari 14 MIB 40%_hari 14 MIC 55%_hari 14 MIK 0%_hari 21 MIA 25%_hari 21 MIB 40%_hari 21 MIC 55%_hari 21 MIK 0%_hari 28 MIA 25%_hari 28 MIB 40%_hari 28 MIC 55%_hari 28 MIK 0%_hari 35 MIA 25%_hari 35 MIB 40%_hari 35 MIC 55%_hari 35 MIK 0%_hari 42 MIA 25%_hari 42 MIB 40%_hari 42 MIC 55%_hari 42 MIK 0%_hari 49 MIA 25%_hari 49 MIB 40%_hari 49 MIC 55%_hari 49 MIK 0%_hari 56 MIA 25%_hari 56 MIB 40%_hari 56 MIC 55%_hari 56 MIC 55%_hari 7 KadarAir_Goreng
KadarAir_Kering
Statistic df Sig. Statistic df Sig.
Kolmogorov-Smirnov a Shapiro-Wilk
This is a lower bound of the true significance. *.
Lilliefors Significance Correction a.
Descriptives
6 3.2683 .17360 .07087 3.0862 3.4505 3.07 3.51
6 4.1650 .23236 .09486 3.9212 4.4088 3.73 4.38
6 4.2700 .21005 .08575 4.0496 4.4904 3.97 4.51
6 4.4283 .14959 .06107 4.2714 4.5853 4.22 4.60
6 4.7450 .36790 .15019 4.3589 5.1311 4.21 5.13
6 5.5367 .19387 .07915 5.3332 5.7401 5.30 5.81
6 4.5250 .21696 .08857 4.2973 4.7527 4.24 4.87
6 5.1950 .09566 .03905 5.0946 5.2954 5.05 5.31
6 6.0800 .36813 .15029 5.6937 6.4663 5.58 6.51
6 5.4350 .33638 .13733 5.0820 5.7880 5.16 6.07
6 5.6633 .25951 .10595 5.3910 5.9357 5.36 6.01
6 5.7767 .15306 .06249 5.6160 5.9373 5.54 5.99
6 6.1483 .04167 .01701 6.1046 6.1921 6.09 6.20
6 5.7917 .12891 .05263 5.6564 5.9269 5.62 5.95
6 6.5650 .11845 .04836 6.4407 6.6893 6.44 6.77
6 5.9850 .17683 .07219 5.7994 6.1706 5.74 6.21
6 6.2883 .09538 .03894 6.1882 6.3884 6.18 6.46
6 6.0267 .14774 .06031 5.8716 6.1817 5.85 6.24
6 5.6783 .13393 .05468 5.5378 5.8189 5.49 5.82
6 6.1433 .12453 .05084 6.0127 6.2740 6.02 6.31
6 6.2017 .09621 .03928 6.1007 6.3026 6.08 6.34
6 6.1300 .07797 .03183 6.0482 6.2118 6.01 6.23
6 6.2433 .09522 .03887 6.1434 6.3433 6.11 6.35
6 6.4217 .15237 .06220 6.2618 6.5816 6.27 6.61
6 6.5550 .14625 .05971 6.4015 6.7085 6.37 6.78
6 6.1217 .08931 .03646 6.0279 6.2154 6.02 6.26
6 6.7517 .13877 .05665 6.6060 6.8973 6.54 6.91
6 8.2050 .07477 .03052 8.1265 8.2835 8.09 8.31
6 7.2500 .23426 .09564 7.0042 7.4958 6.99 7.56
6 6.9067 .12469 .05090 6.7758 7.0375 6.71 7.05
6 6.7767 .17305 .07065 6.5951 6.9583 6.57 7.06
6 8.9867 .19521 .07969 8.7818 9.1915 8.69 9.23
6 7.8100 .13431 .05483 7.6690 7.9510 7.64 7.99
6 7.0267 .13095 .05346 6.8892 7.1641 6.86 7.23
6 6.8900 .26900 .10982 6.6077 7.1723 6.56 7.21
6 4.8017 .06911 .02822 4.7291 4.8742 4.69 4.90
216 6.0220 1.15110 .07832 5.8677 6.1764 3.07 9.23
6 6.1950 .14369 .05866 6.0442 6.3458 5.95 6.33
6 6.7357 .24353 .09942 6.4801 6.9912 6.47 7.14
6 7.3975 .11198 .04572 7.2800 7.5150 7.27 7.53
6 7.5320 .18497 .07551 7.3379 7.7261 7.26 7.77
6 6.4565 .12415 .05068 6.3262 6.5868 6.23 6.60
6 6.8450 .23348 .09532 6.6000 7.0900 6.56 7.15
6 7.4610 .33071 .13501 7.1139 7.8081 7.02 8.01
6 7.0250 .20421 .08337 6.8107 7.2393 6.68 7.22
6 7.1517 .09724 .03970 7.0496 7.2537 7.05 7.30
6 7.5448 .14991 .06120 7.3875 7.7022 7.35 7.77
6 8.1242 .17879 .07299 7.9365 8.3118 7.87 8.32
6 7.4407 .60182 .24569 6.8091 8.0722 6.77 8.27
6 7.3762 .09088 .03710 7.2808 7.4715 7.22 7.48
6 7.7237 .14403 .05880 7.5725 7.8748 7.58 7.90
6 9.1567 .40844 .16674 8.7280 9.5853 8.63 9.67
6 7.4748 .07936 .03240 7.3915 7.5581 7.39 7.59
6 7.3000 .08657 .03534 7.2092 7.3908 7.19 7.41
6 8.0103 .13547 .05531 7.8682 8.1525 7.85 8.20
6 9.2565 .11667 .04763 9.1341 9.3789 9.11 9.43
6 7.6247 .21951 .08961 7.3943 7.8550 7.37 7.94
6 8.0020 .19550 .07981 7.7968 8.2072 7.72 8.23
6 8.2582 .16509 .06740 8.0849 8.4314 8.09 8.54
6 9.6373 .16137 .06588 9.4680 9.8067 9.44 9.87
6 8.0658 .06377 .02603 7.9989 8.1328 8.00 8.16
6 8.2437 .12852 .05247 8.1088 8.3785 8.05 8.43
6 8.3387 .06851 .02797 8.2668 8.4106 8.25 8.41
6 10.1085 .19810 .08088 9.9006 10.3164 9.87 10.36
6 8.2943 .07925 .03235 8.2112 8.3775 8.21 8.40
6 9.7200 .11701 .04777 9.5972 9.8428 9.58 9.87
6 8.6947 .07753 .03165 8.6133 8.7760 8.59 8.79
6 11.0650 .11740 .04793 10.9418 11.1882 10.88 11.17
6 8.6585 .10308 .04208 8.5503 8.7667 8.51 8.77
6 10.9478 .21377 .08727 10.7235 11.1722 10.64 11.19
6 9.4818 .11270 .04601 9.3636 9.6001 9.37 9.66
6 11.2358 .09066 .03701 11.1407 11.3310 11.09 11.36
6 7.8297 .15552 .06349 7.6665 7.9929 7.64 8.05
216 8.2337 1.26366 .08598 8.0642 8.4032 5.95 11.36
MIK 0%_hari 0 MIA 25%_hari 0 MIB 40%_hari 0 MIC 55%_hari 0 MIK 0%_hari 7 MIA 25%_hari 7 MIB 40%_hari 7 MIK 0%_hari 14 MIA 25%_hari 14 MIB 40%_hari 14 MIC 55%_hari 14 MIK 0%_hari 21 MIA 25%_hari 21 MIB 40%_hari 21 MIC 55%_hari 21 MIK 0%_hari 28 MIA 25%_hari 28 MIB 40%_hari 28 MIC 55%_hari 28 MIK 0%_hari 35 MIA 25%_hari 35 MIB 40%_hari 35 MIC 55%_hari 35 MIK 0%_hari 42 MIA 25%_hari 42 MIB 40%_hari 42 MIC 55%_hari 42 MIK 0%_hari 49 MIA 25%_hari 49 MIB 40%_hari 49 MIC 55%_hari 49 MIK 0%_hari 56 MIA 25%_hari 56 MIB 40%_hari 56 MIC 55%_hari 56 MIC 55%_hari 7 Total MIK 0%_hari 0 MIA 25%_hari 0 MIB 40%_hari 0 MIC 55%_hari 0 MIK 0%_hari 7 MIA 25%_hari 7 MIB 40%_hari 7 MIK 0%_hari 14 MIA 25%_hari 14 MIB 40%_hari 14 MIC 55%_hari 14 MIK 0%_hari 21 MIA 25%_hari 21 MIB 40%_hari 21 MIC 55%_hari 21 MIK 0%_hari 28 MIA 25%_hari 28 MIB 40%_hari 28 MIC 55%_hari 28 MIK 0%_hari 35 MIA 25%_hari 35 MIB 40%_hari 35 MIC 55%_hari 35 MIK 0%_hari 42 MIA 25%_hari 42 MIB 40%_hari 42 MIC 55%_hari 42 MIK 0%_hari 49 MIA 25%_hari 49 MIB 40%_hari 49 MIC 55%_hari 49 MIK 0%_hari 56 MIA 25%_hari 56 MIB 40%_hari 56 MIC 55%_hari 56 MIC 55%_hari 7 Total KadarAir_Goreng
KadarAir_Kering
N Mean Std. Deviation Std. Error Lower Bound Upper Bound 95% Confidence Interval for
Mean
Minimum Maximum
POST HOC TBA MIE INSTANT GORENG
MIK
Duncan a
6 .012017
6 .027983
6 .039250
6 .084050
6 .092067 .092067
6 .104767
6 .168083
6 .226367
6 .686233
1.000 .161 .316 .115 1.000 1.000 1.000
one hari ke 0 hari ke 7 hari ke 14 hari ke 21 hari ke 28 hari ke 35 hari ke 42 hari ke 49 hari ke 56 Sig.
N 1 2 3 4 5 6 7
Subset for alpha = .05
Means for groups in homogeneous subsets are displayed. Uses Harmonic Mean Sample Size = 6.000. a.
MIA
Duncan a
6 .009000
6 .026850 .026850
6 .035117
6 .080333
6 .080883
6 .106967
6 .121650
6 .164800
6 .372650
.061 .378 .953 .121 1.000 1.000
one hari ke 0 hari ke 7 hari ke 14 hari ke 28 hari ke 21 hari ke 35 hari ke 42 hari ke 49 hari ke 56 Sig.
N 1 2 3 4 5 6
Subset for alpha = .05
Means for groups in homogeneous subsets are displayed. Uses Harmonic Mean Sample Size = 6.000. a.
MIB
Duncan a
6 .006450
6 .025467
6 .049783
6 .055783
6 .058350
6 .085250
6 .089867
6 .151800
6 .325217
1.000 1.000 .223 .484 1.000 1.000
one hari ke 0 hari ke 7 hari ke 14 hari ke 28 hari ke 21 hari ke 35 hari ke 42 hari ke 49 hari ke 56 Sig.
N 1 2 3 4 5 6
Subset for alpha = .05
Means for groups in homogeneous subsets are displayed. Uses Harmonic Mean Sample Size = 6.000. a.
POST HOC TBA MIE INSTANT KERING
MIC
Duncan a
6 .004517
6 .020233
6 .048617
6 .051517
6 .053900
6 .077267
6 .085717
6 .123667
6 .173750
1.000 1.000 .356 .119 1.000 1.000
one hari ke 0 hari ke 7 hari ke 14 hari ke 21 hari ke 28 hari ke 35 hari ke 42 hari ke 49 hari ke 56 Sig.
N 1 2 3 4 5 6
Subset for alpha = .05
Means for groups in homogeneous subsets are displayed. Uses Harmonic Mean Sample Size = 6.000. a.
MIK
Duncan a
6 .016083
6 .051317
6 .054233
6 .066933
6 .080900
6 .105233
6 .207533
6 .357433
6 .636267
1.000 .410 1.000 1.000 1.000 1.000 1.000 1.000
one hari ke 0 hari ke 7 hari ke 14 hari ke 21 hari ke 28 hari ke 35 hari ke 42 hari ke 49 hari ke 56 Sig.
N 1 2 3 4 5 6 7 8
Subset for alpha = .05
Means for groups in homogeneous subsets are displayed. Uses Harmonic Mean Sample Size = 6.000. a.
MIA
Duncana
6 .012983
6 .019200
6 .031467
6 .040833
6 .059383
6 .087650
6 .190350
6 .257017
6 .312867
.178 1.000 1.000 1.000 1.000 1.000 1.000 1.000
one hari ke 0 hari ke 7 hari ke 14 hari ke 21 hari ke 28 hari ke 35 hari ke 42 hari ke 49 hari ke 56 Sig.
N 1 2 3 4 5 6 7 8
Subset for alpha = .05
Means for groups in homogeneous subsets are displayed.
Uses Harmonic Mean Sample Size = 6.000. a.
POST HOC KADAR AIR MIE INSTANT GORENG
MIB
Duncan a
6 .009483 6 .014700 6 .015300
6 .035467
6 .055833
6 .063683
6 .172967
6 .198550
6 .223017
.307 1.000 .145 1.000 1.000 1.000
one hari ke 0 hari ke 7 hari ke 14 hari ke 21 hari ke 28 hari ke 35 hari ke 42 hari ke 49 hari ke 56 Sig.
N 1 2 3 4 5 6
Subset for alpha = .05
Means for groups in homogeneous subsets are displayed. Uses Harmonic Mean Sample Size = 6.000. a.
MIC
Duncan a
6 .006333
6 .007833
6 .012517
6 .026017
6 .045733
6 .057717
6 .085017
6 .117183
6 .160417
.150 1.000 1.000 1.000 1.000 1.000 1.000
one hari ke 0 hari ke 7 hari ke 14 hari ke 21 hari ke 28 hari ke 35 hari ke 42 hari ke 49 hari ke 56 Sig.
N 1 2 3 4 5 6 7
Subset for alpha = .05
Means for groups in homogeneous subsets are displayed. Uses Harmonic Mean Sample Size = 6.000. a.
MIK
Duncan a
6 3.268333
6 4.745000
6 5.195000
6 5.776667
6 5.985000 5.985000
6 6.143333
6 6.421667
6 8.205000
6 8.986667
1.000 1.000 1.000 .059 .148 1.000 1.000 1.000
one hari ke 0 hari ke 7 hari ke 14 hari ke 21 hari ke 28 hari ke 35 hari ke 42 hari ke 49 hari ke 56 Sig.
N 1 2 3 4 5 6 7 8
Subset for alpha = .05
Means for groups in homogeneous subsets are displayed. Uses Harmonic Mean Sample Size = 6.000. a.
MIA
Duncan a
6 4.165000
6 5.536667
6 6.080000
6 6.148333
6 6.201667
6 6.288333
6 6.555000
6 7.250000
6 7.810000
1.000 1.000 .097 1.000 1.000 1.000
one hari ke 0 hari ke 7 hari ke 14 hari ke 21 hari ke 35 hari ke 28 hari ke 42 hari ke 49 hari ke 56 Sig.
N 1 2 3 4 5 6
Subset for alpha = .05
Means for groups in homogeneous subsets are displayed. Uses Harmonic Mean Sample Size = 6.000. a.
MIB
Duncan a
6 4.270000
6 4.525000
6 5.435000
6 5.791667
6 6.026667
6 6.121667
6 6.130000
6 6.906667
6 7.026667
1.000 1.000 1.000 1.000 .353 .253
one hari ke 0 hari ke 7 hari ke 14 hari ke 21 hari ke 28 hari ke 42 hari ke 35 hari ke 49 hari ke 56 Sig.
N 1 2 3 4 5 6
Subset for alpha = .05
Means for groups in homogeneous subsets are displayed. Uses Harmonic Mean Sample Size = 6.000. a.
MIC
Duncan a
6 4.428333
6 4.801667
6 5.663333
6 5.678333
6 6.243333
6 6.565000
6 6.751667 6.751667
6 6.776667
6 6.890000
1.000 1.000 .879 1.000 .062 .188
one hari ke 0 hari ke 7 hari ke 14 hari ke 21 hari ke 28 hari ke 35 hari ke 42 hari ke 49 hari ke 56 Sig.
N 1 2 3 4 5 6
Subset for alpha = .05
Means for groups in homogeneous subsets are displayed. Uses Harmonic Mean Sample Size = 6.000. a.
POST HOC KADAR AIR MIE INSTANT KERING
MIK Duncan a 6 6.195000 6 6.456500 6 7.025000 6 7.440667 6 7.474833 6 7.624667 6 8.065833 6 8.294333 6 8.658500.065 1.000 .216 .105 1.000
one hari ke 0 hari ke 7 hari ke 14 hari ke 21 hari ke 28 hari ke 35 hari ke 42 hari ke 49 hari ke 56 Sig.
N 1 2 3 4 5
Subset for alpha = .05
Means for groups in homogeneous subsets are displayed. Uses Harmonic Mean Sample Size = 6.000. a. MIA Duncan a 6 6.735667 6 6.845000 6 7.151667
6 7.300000 7.300000
6 7.376167
6 8.002000
6 8.243667
6 9.720000
6 10.947833
.265 .133 .436 1.000 1.000 1.000 1.000
one hari ke 0 hari ke 7 hari ke 14 hari ke 21 hari ke 28 hari ke 35 hari ke 42 hari ke 49 hari ke 56 Sig.
N 1 2 3 4 5 6 7
Subset for alpha = .05
Means for groups in homogeneous subsets are displayed. Uses Harmonic Mean Sample Size = 6.000. a.
MIB
Duncan a
6 7.397500 6 7.461000
6 7.544833 7.544833
6 7.723667 6 8.010333 6 8.258167 6 8.338667 6 8.694667 6 9.481833
.142 .061 1.000 .392 1.000 1.000
one hari ke 0 hari ke 7 hari ke 14 hari ke 21 hari ke 28 hari ke 35 hari ke 42 hari ke 49 hari ke 56 Sig.
N 1 2 3 4 5 6
Subset for alpha = .05
Means for groups in homogeneous subsets are displayed. Uses Harmonic Mean Sample Size = 6.000. a. MIC Duncan a 6 7.532000 6 7.829667 6 8.124167 6 9.156667 6 9.256500 6 9.637333 6 10.108500 6 11.065000 6 11.235833
1.000 1.000 1.000 .391 1.000 1.000 .145
one hari ke 0 hari ke 7 hari ke 14 hari ke 21 hari ke 28 hari ke 35 hari ke 42 hari ke 49 hari ke 56 Sig.
N 1 2 3 4 5 6 7
Subset for alpha = .05
Means for groups in homogeneous subsets are displayed. Uses Harmonic Mean Sample Size = 6.000. a.
PROTEIN AKHIR MIE INSTANT KACANG HIJAU
Tests of Normality.194 6 .200* .891 6 .322
.183 6 .200* .940 6 .660
.246 6 .200* .934 6 .613
.244 6 .200* .943 6 .683
.235 6 .200* .888 6 .307
.231 6 .200* .905 6 .405
.235 6 .200* .950 6 .744
.257 6 .200* .951 6 .748
perlakuan 0% 25% 40% 55% 0% 25% 40% 55% protein_goreng protein_kering
Statistic df Sig. Statistic df Sig.
Kolmogorov-Smirnov a Shapiro-Wilk
This is a lower bound of the true significance. *.
Lilliefors Significance Correction a.
Descriptives
6 3.9100 .71705 .29273 3.1575 4.6625 3.21 5.14
6 9.6500 .92557 .37786 8.6787 10.6213 8.55 10.86
6 13.7683 1.10942 .45292 12.6041 14.9326 11.99 14.99 6 19.2400 .86616 .35361 18.3310 20.1490 18.07 20.41 24 11.6421 5.79646 1.18320 9.1945 14.0897 3.21 20.41
6 6.4783 .94173 .38446 5.4900 7.4666 5.46 7.71
6 10.7500 .71288 .29103 10.0019 11.4981 9.54 11.52 6 14.4367 .61837 .25245 13.7877 15.0856 13.66 15.32 6 19.5200 .96273 .39303 18.5097 20.5303 18.07 20.75 24 12.7963 4.95870 1.01219 10.7024 14.8901 5.46 20.75 0% 25% 40% 55% Total 0% 25% 40% 55% Total protein_goreng protein_kering
N Mean Std. Deviation Std. Error Lower Bound Upper Bound 95% Confidence Interval for
Mean
Minimum Maximum
POST HOCT PROTEIN AKHIR MIE INSTAN KACANG HIJAU
T TEST PROTEIN AWAL DAN AKHIR
protein_goreng Duncana 6 3.9100 6 9.6500 6 13.7683 6 19.2400
1.000 1.000 1.000 1.000 perlakuan 0% 25% 40% 55% Sig.
N 1 2 3 4
Subset for alpha = .05
Means for groups in homogeneous subsets are displayed. Uses Harmonic Mean Sample Size = 6.000. a. protein_kering Duncan a 6 6.4783 6 10.7500 6 14.4367 6 19.5200
1.000 1.000 1.000 1.000 perlakuan 0% 25% 40% 55% Sig.
N 1 2 3 4
Subset for alpha = .05
Means for groups in homogeneous subsets are displayed. Uses Harmonic Mean Sample Size = 6.000. a.
Independent Samples Test
.002 .965 -1.322 46 .193 -1.91346 1.44728 -4.82669 .99977
-1.322 45.978 .193 -1.91346 1.44728 -4.82672 .99981
.011 .918 -.440 46 .662 -.73792 1.67846 -4.11648 2.64065
-.440 45.998 .662 -.73792 1.67846 -4.11648 2.64065 Equal variances assumed Equal variances not assumed Equal variances assumed Equal variances not assumed protein_kering protein_goreng F Sig.
Levene's Test for Equality of Variances
t df Sig. (2-tailed) Mean Difference
Std. Error
Difference Lower Upper 95% Confidence
Interval of the Difference t-test for Equality of Means
LAMPIRAN 2
Seleksi produk dilakukan dengan metode indeks tertimbang dan FGD terhadap 10 orang
yakni :
Andhika
04.70.0060
Edwin
06.70.0158
Danny
04.70.0088
Karina
04.70.0015
Desi T
04.70.0041
Eveline H
04.70.0076
Adelaide
04.70.0024
Christian H
04.70.0075
Meiliana
04.70.0084
Ayu
04.70.0128
Memberikan hasil sebagai berikut :
1. Alat Penentu Peringkat Gagasan Produk
Cookies
Kacang Hijau
Persyaratan Keberhasilan Produk
(1)
Bobot Relatif
(2)
Peringkat
Produk
(3 = 1x2)
Nilai Produk
Produk yang unik atau unggul
0.3
0.6
0.18
Ketersediaan teknologi
0.3
0.5
0.15
Shelf life
0.2 0.3
0.06
Kompetisi/persaingan 0.1 0.2 0.02
Strategi pasar
0.2
0.2
0.04
Total
0.45
2. Alat Penentu Peringkat Gagasan Produk Pudding
Instant
Kacang Hijau
Persyaratan Keberhasilan Produk
(1)
Bobot Relatif
(2)
Peringkat
Produk
(3 = 1x2)
Nilai Produk
Produk yang unik atau unggul
0.3
0.5
0.15
Ketersediaan teknologi
0.2
0.4
0.08
Shelf life
0.1 0.2
0.02
Kompetisi/persaingan 0.2 0.2 0.04
Strategi pasar
0.2
0.2
0.04
Total
0.33
3.
Alat Penentu Peringkat Gagasan Produk Mie
Instant
Kacang Hijau
Persyaratan Keberhasilan Produk
(1)
Bobot Relatif
(2)
Peringkat
Produk
(3 = 1x2)
Nilai Produk
Produk yang unik atau unggul
0.3
0.8
0.24
Ketersediaan teknologi
0.2
0.7
0.14
Shelf life
0.2 0.6
0.12
Kompetisi/persaingan 0.1 0.3 0.03
Strategi pasar
0.2
0.5
0.10
Total 1.0
0.63
4. Alat Penentu Peringkat Gagasan Produk
Puff Pastry
Kacang Hijau
Persyaratan Keberhasilan Produk
(1)
Bobot Relatif
(2)
Peringkat
Produk
(3 = 1x2)
Nilai Produk
Produk yang unik atau unggul
0.3
0.5
0.15
Ketersediaan teknologi
0.2
0.5
0.10
Shelf life
0.1 0.3
0.03
Kompetisi/persaingan 0.2 0.3 0.06
Strategi pasar
0.3
0.4
0.12
Total 1.0
0.46
Keterangan : (tingkat penerimaan minimum 0.61)
•
skala peringkat 0.00-0.30 buruk
•
skala peringkat 0.31-0.60 cukup
•
skala peringkat 0.60-0.80 baik
LAMPIRAN 3
EVALUASI FINANSIAL
•
Harga Mie Instant Goreng
Biaya mie instan per 1000 g (1 kg)
Biaya
Kontrol
Substitusi 25%
Substitusi 40%
Substitusi 55%
Bahan Pokok
Harga / kg
Berat
Harga
Berat
Harga
Berat
Harga
Berat
Harga
Tepung Terigu Tepung
Tepung Kacang Hijau
Telur Ayam Buras
Rp 8000,-
Rp 9050,-
Rp 10000,-
1000 g
-
150 g
Rp 8000,-
-
Rp 1500,-
750 g
250 g
150 g
Rp 6000,-
Rp 2263,-
Rp 1500,-
600 g
400 g
150 g
Rp 4800,-
Rp 3620,-
Rp 1500,-
450 g
550 g
150 g
Rp 3600,-
Rp 4978,-
Rp 1500,-
Yield
30 buah (@ 30 g)
30 buah (@ 30 g)
30 buah (@ 30 g)
30 buah (@ 30 g)
Total Biaya
Rp 9500,-
Rp 9763,-
Rp 9920,-
Rp 10078,-
Harga / 30g
Rp 316.67,- Rp 325.43,- Rp 330.66,-
Rp 335.93,-
Biaya
Kontrol
Substitusi 25%
Substitusi 40%
Substitusi 55%
Bahan kemasan
Harga / cm
Pemakaian
Harga
Pemakaian
Harga
Pemakaian
Harga
Pemakaian
Harga
Nylon / LLDPE
Rp 25
10 cm
Rp 250 10 cm
Rp 250 10 cm
Rp 250 10 cm
Rp 250
Total Biaya / 30g
Rp 566.67,- Rp 575.43,- Rp 580.66,-
Rp 585.93,-
Biaya
Kontrol
Substitusi 25%
Substitusi 40%
Substitusi 55%
Bahan Habis Pakai
Harga / 30g
Minyak
*
Bumbu
**
Gas
***
Rp 30,-
Rp 60,-
Rp 10,-
Total Biaya / 30g
Rp 666.67,- Rp 675.43,- Rp 680.66,-
Rp 685.93,-
Biaya Lain-lain
Kontrol
Substitusi 25%
Substitusi 40%
Substitusi 55%
Fix Cost
****
Variable Cost
****
Rp 33.33,-
Rp 33.33,-
Rp 33.77,-
Rp 33.77,-
Rp 34.03,-
Rp 34.03,-
Rp 34.30,-
Rp 34.30,-
Total Biaya / 30g
Rp 733.33,-
Rp 742.97,-
Rp 748.72,-
Rp
•
Harga Mie Instant Kering
¾
Biaya mie instan per 1000 g (1 kg)
Biaya
Kontrol
Substitusi 25%
Substitusi 40%
Substitusi 55%
Bahan Pokok
Harga / kg
Berat
Harga
Berat
Harga
Berat
Harga
Berat
Harga
Tepung Terigu Tepung
Tepung Kacang Hijau
Telur Ayam Buras
Rp 8000,-
Rp 9050,-
Rp 10000,-
1000 g
-
150 g
Rp 8000,-
-
Rp 1500,-
750 g
250 g
150 g
Rp 6000,-
Rp 2263,-
Rp 1500,-
600 g
400 g
150 g
Rp 4800,-
Rp 3620,-
Rp 1500,-
450 g
550 g
150 g
Rp 3600,-
Rp 4978,-
Rp 1500,-
Yield
30 buah (@ 30 g)
30 buah (@ 30 g)
30 buah (@ 30 g)
30 buah (@ 30 g)
Total Biaya
Rp 9500,-
Rp 9763,-
Rp 9920,-
Rp 10078,-
Harga / 30g
Rp 316.67,- Rp 325.43,- Rp 330.66,-
Rp 335.93,-
Biaya
Kontrol
Substitusi 25%
Substitusi 40%
Substitusi 55%
Bahan kemasan
Harga / cm
Pemakaian
Harga
Pemakaian
Harga
Pemakaian
Harga
Pemakaian
Harga
Nylon / LLDPE
Rp 25
10 cm
Rp 250 10 cm
Rp 250 10 cm
Rp 250 10 cm
Rp 250
Total Biaya / 30g
Rp 566.67,- Rp 575.43,- Rp 580.66,-
Rp 585.93,-
Biaya
Kontrol
Substitusi 25%
Substitusi 40%
Substitusi 55%
Bahan Habis Pakai
Harga / 30g
Bumbu
*
Gas
**
Rp 60,-
Rp 10,-
Total Biaya / 30g
Rp 636.67,- Rp 645.43,- Rp 650.66,-
Rp 655.93,-
Biaya Lain-lain
Kontrol
Substitusi 25%
Substitusi 40%
Substitusi 55%
Fix Cost
***
Variable Cost
***
Rp 31.83,-
Rp 31.83,-
Rp 32.27,-
Rp 32.27,-
Rp 32.53,-
Rp 32.53,-
Rp 32.80,-
Rp 32.80,-
Total Biaya / 30g
Rp 700.33,-
Rp 709.97,-
Rp 715.12,-
Rp 721.53,-
Keterangan:
1 kg kacang hijau mampu menghasilkan yield 885 gr tepung; 1 kg kacang hijau = Rp 8000, maka 1 kg tepung kacang hijau = Rp 9050
¾
Investasi alat diasumsikan sudah tersedia
*
: Minyak (
vacuum fryer
) 30 liter, harga minyak per liter Rp 10000,- untuk 100x penggorengan maksimal 100 produk. Sehingga 1 produk
seharga Rp 30,-
**
: Bumbu, diasumsikan seharga Rp 60,- / produk
***
: Gas Rp 40000,- / 8 kg , seharga Rp 1000,-/jam sedangkan dalam 1 jam (termasuk mengukus) dapat menggoreng 100 produk (awal,
dan
jumlahnya terus bertambah tiap jamnya). Sehingga tambahan biaya gas bisa dikatakan (maksimal) Rp 10,-
****
:
Diasumsikan 5% dari total biaya bahan pokok.
LAMPIRAN 4
Kebutukan Angka Kecukupan Gizi Kalsium (AKG)
4.1. Mie Instant Goreng
Tingkat substitusi
Kadar kalsium
(mg/100gram)
25 %
27.80
40 %
28.01
55 %
32.09
AKG Kalsium untuk anak-anak
: 500 mg/hari
AKG Kalsium untuk remaja
: 600-700 mg/hari
AKG Kalsium untuk dewasa
: 500-800 mg/hari
Persentase kecukupan kalsium berdasarkan AKG Kalsium minimun untuk anak-anak
dan dewasa :
•
Tingkat substitusi 25%
Kadar kalsium dalam 70 gram mie instant =
27
.
8
19
.
46
100
70
=
x
Persen Kecukupan Kalsium =
100
%
3
.
89
500
46
.
19
=
x
%
•
Tingkat substitusi 40%
Kadar kalsium dalam 70 gram mie instant =
28
.
01
19
.
61
100
70
=
x
Persen Kecukupan Kalsium =
100
%
3
.
92
500
61
.
19
=
x
%
•
Tingkat substitusi 55%
Kadar kalsium dalam 70 gram mie instant =
32
.
09
22
.
46
100
70
=
x
Persen Kecukupan Kalsium =
100
%
4
.
49
500
46
.
22
=
x
%
Persentase kecukupan kalsium berdasarkan AKG Kalsium minimun untuk remaja:
•
Tingkat substitusi 25%
Kadar kalsium dalam 70 gram mie instant =
27
.
8
19
.
46
100
70
=
x
Persen Kecukupan Kalsium =
100
%
3
.
24
600
46
.
19
=
x
%
•
Tingkat substitusi 40%
Kadar kalsium dalam 70 gram mie instant =
28
.
01
19
.
61
100
70
=
x
Persen Kecukupan Kalsium =
100
%
3
.
27
600
61
.
19
=
x
%
•
Tingkat substitusi 55%
Kadar kalsium dalam 70 gram mie instant =
32
.
09
22
.
46
100
70
=
x
Persen Kecukupan Kalsium =
100
%
3
.
74
600
46
.
22
=
x
%
4.2. Mie Instant Kering
Tingkat substitusi
Kadar kalsium
(mg/100gram)
25 %
29.22
40 %
31.98
55 %
42.41
AKG Kalsium untuk anak-anak
: 500 mg/hari
AKG Kalsium untuk remaja
: 600-700 mg/hari
AKG Kalsium untuk dewasa
: 500-800 mg/hari
Persentase kecukupan kalsium berdasarkan AKG Kalsium minimun untuk anak-anak
dan dewasa :
•
Tingkat substitusi 25%
Kadar kalsium dalam 70 gram mie instant =
29
.
22
20
.
45
100
70
=
x
Persen Kecukupan Kalsium =
100
%
4
.
09
500
45
.
20
=
x
%
•
Tingkat substitusi 40%
Kadar kalsium dalam 70 gram mie instant =
31
.
98
22
.
34
100
70
=
x
Persen Kecukupan Kalsium =
100
%
4
.
47
500
34
.
22
=
x
%
•
Tingkat substitusi 55%
Kadar kalsium dalam 70 gram mie instant =
42
.
41
29
.
69
100
70
=
x
Persen Kecukupan Kalsium =
100
%
5
.
94
500
69
.
29
=
x
%
Persentase kecukupan kalsium berdasarkan AKG Kalsium minimun untuk remaja:
•
Tingkat substitusi 25%
Kadar kalsium dalam 70 gram mie instant =
29
.
22
20
.
45
100
70
=
x
Persen Kecukupan Kalsium =
100
%
3
.
41
600
45
.
20
=
x
%
•
Tingkat substitusi 40%
Kadar kalsium dalam 70 gram mie instant =
31
.
98
22
.
34
100
70
=
x
Persen Kecukupan Kalsium =
100
%
3
.
72
600
34
.
22
=
x
%
•
Tingkat substitusi 55%
Kadar kalsium dalam 70 gram mie instant =
42
.
41
29
.
69
100
70
=
x
Persen Kecukupan Kalsium =
100
%
4
.
95
600
69
.
29
=
x
%
LAMPIRAN 5 (SNI 01-3551-1994)
No Uraian
Satuan
Persyaratan
1
2
3
4
5
6
7
8
9
10
11
Keadaan
1.1.
Bau
1.2.
Rasa
1.3.
Warna
Benda-benda asing
Keutuhan
Uji kematangan
Mie:Air = 1:5 b/b
Kelembaban (kadar air)
Protein
Derajat asam
Bahan Tambahan
Makanan
Cemaran Logam
a.
Timbal (Pb)
b.
Tembaga (Cu)
c.
Seng (Zn)
Arsen (As)
Cemaran mikroba
a.
Angka Lempeng total
b.
Colform
c.
Kapang
%
Menit
%
%
ml NaOH/100 g contoh
mg/kg
mg/kg
mg/kg
koloni/g
APM/g
koloni/g
Normal
Normal
Normal
Tidak boleh ada
Min 85
Maks 4
Maks 8
Maks 8
Maks 8
Sesuai SNI 022-M dan Permenkes
722 Menkes/Per/IX/88
Maks 1.0
Maks 10.00
Maks 0.05
Tidak boleh ada
Maks 1.0 x 10
6
<3
Maks 1.0 x 10
4
Sumber : Anonim (2004)
LAMPIRAN 6
Kuesioner
UJI RANKING
Nama
:
Tanggal
:
Produk
: Mie Instant Goreng/Kering
(*)
(
(*)
coret yang tidak perlu)
Kriteria
: Rasa
Instruksi
:
Dihadapan Anda terdapat sampel 4 mie instant. Lakukan pengujian terhadap kriteria
rasa dengan cara memakan dan merasakan kandungan kacang hijau dalam mie. Setelah
itu, berikan penilaian Anda dengan memasukkan kode sampel pada kotak kode sampel.
Keterangan Kode
sampel
Suka
Tidak suka
LAMPIRAN 7
Hasil Pengujian sensoris terhadap penerimaan beberapa panelis mengenai variasi
produk mie instant kacang hijau dengan kuah atau tidak
Jenis Penampakan Bau
Mie dengan kuah
Bagus dan suka
Suka, karena bau
langu berkurang
Mie tanpa kuah
Bagus dan suka
Tidak suka, karena
bau yang
ditimbulkan langu
LAMPIRAN 8
Kurva Standar Amilosa
Konsentrasi (ppm)
absorbansi
0 0,0105
2,2 0,0573
4,4 0,1150
6,6 0,1646
8,8 0,2157
11,0 0,2635
17,6 0,3932
35,2 0,7716
70,4 1,0938
kadar amilosa standar
y = 0,0158x + 0,069
R
2= 0,9638
0
0,2
0,4
0,6
0,8
1
1,2
1,4
0
20
40
60
80
konsentrasi (ppm)
absor
b
a
nsi
absorbansi
Linear (absorbansi)
LAMPIRAN 9
TABEL KONVERSI UMUR SIMPAN MIE INSTANT
Q
10
T = 40
o
C
T = 25
o
C
0 hari
0 minggu
0 bulan
7 hari
2.83 minggu
0.71 bulan
14 hari
5.66 minggu
1.41 bulan
21 hari
8.49 minggu
2.12 bulan
28 hari
11.31 minggu
2.83 bulan
35 hari
14.14 minggu
3.54 bulan
42 hari
16.97 minggu
4.24 bulan
49 hari
19.80 minggu
4.95 bulan
56 hari
22.63 minggu
5.66 bulan
LAMPIRAN 10
(HASIL PENGUJIAN
Texture Analyser
)
Sample
Information
Speed
(mm/s)
Height
(mm)
Width
(mm)
Span
(mm)
Max
Load (N)
Max
Bending
Stress at
Maximum
Load
(MPa)
Max
Bending
Strain at
Maximum
Load
Max
Bending
Stress at
Maximum
Deflection
(MPa)
Max
Bending
Strain at
Maximum
Deflection
Ductility
(mm)
Toughness
(MPa)
Secant
Modulus
(MPa)
Young's
Modulus
of
Bending
(kgf/cm²)
Flexural
Rigidity
(Nmm²)
Elastic
Strength
(kgf/cm²)
Resilience
(J)
mie
goreng
5
10
10 10 2.28887 0.034333 0.942355 0.031798 0.945657 1.5756
0.0007
1.739 142.2
mie
goreng
5
10
10 10 2.48708 0.037306 1.056289 0.034186 1.056309
9.364 765.52
mie
goreng
5
10
10 10 1.684959 0.025274 0.042612 0.024413 0.042716
7.902 645.98
mie
goreng
5
10
10 10 14.03788 0.210568 0.644879 0.197577 0.653627
450.5 36826
mie
goreng
5
10
10
10
mie
goreng
5
10
10 10 0.826791 0.012402 0.790387 0.003043 3.164541
0.009
1.545 126.29
mie
goreng
5
10
10 10 0.672642 0.01009 1.298699 0.003746 3.154455 3.9847
0.0015
0.008
283 23133
mie
goreng
5
10
10 10 0.603183 0.009048 3.030702 0.007013 3.134955 5.0512
0.0018
0.005
2.504 204.7
mie
kering
5
10
10
2 0.681719 0.002045 14.12855 0.000106 69.22849 2.4894
0.0063 5E-05
0.008 0.6517
mie
kering
5
10
10
2 0.870686 0.002612 21.08432 0.000688 73.44495 4.4135
0.0104 7E-05
0.009 0.7078
mie
kering
5
10
10
2 0.969821 0.002909 36.79732 0.000532 78.43617 5.098
0.008 5E-05
0.005 0.4318
mie
kering
5 10 10 2
2.298378
0.006895
44.48169
2.92E-05
78.7796
7E-05 0.004
0.3198
mie
kering
5
10
10
2 0.616171 0.001849 33.97124 0.000727 78.51347 5.2342
0.0073 6E-05
0.005 0.4166
mie
kering
5
10
10
2 0.353287 0.00106 23.64407 0.000669 73.07862 4.7455
0.0045 3E-05
5.127 419.11
mie
kering
5
10
10
2 0.471547 0.001415 20.89237 0.000259 78.09089 4.7539
0.0055 3E-05
5.863 479.27
mie
kering
5
10
10
2 0.899375 0.002698 38.70512 0.000704 78.77565 4.5667
0.0129 8E-05
2.153 175.97
LAMPIRAN 11
Deskripsi Hasil Focus Group Discussion (FGD)
I.
Produk yang Unik/Unggul
a. Cookies
: (+) karena belum ada, baru
(+) terobosan