68
LAMPIRAN A
HASIL UJI PENETAPAN KADAR PADA EKSTRAK ETANOL
SALAM-SAMBILOTO
Rep. W sampel
(g) Abs
C
(ppm)
Faktor
Pengenceran
C’
(ppm) Kadar (%)
1 1,0013 0,593 6,681 10 66,81 0,167
2 1,0010 0,651 7,284 10 72,84 0,182
3 1,0003 0,502 5,734 10 57,34 0,143
Perhitungan 4d
0,167 0,0075
0,182 0,0075
0,143* 0,0150
d = 0,0150 : 2
= 0,0075
4d = 4 x 0,0075
= 0,03
0,1745 – 0,143 ... 0,03
0,0315 > 0,03 data 0,143 ditolak
Jadi, rata – rata % kadar total flavonoid pada ekstrak adalah 0,175%
0,1745
+
69
LAMPIRAN B
HASIL UJI PENETAPAN KADAR TOTAL FLAVONOID PADA
FRAKSI AIR SALAM-SAMBILOTO
Rep. W sampel
(g) Abs
C
(ppm)
Faktor
Pengenceran
C’
(ppm) Kadar (%)
1 1,0007 0,475 5,453 66,67 363,53 0,908
2 1,0030 0,485 5,557 66,67 370,46 0,923
3 1,0014 0,502 5,734 66,67 382,27 0,954
Perhitungan 4d
0,908 0,0075
0,923 0,0075
0,954 0,0150
d = 0,0150 : 2
= 0,0075
4d = 4 x 0,0075
= 0,03
0,954 – 0,9155 .... 0,03
0,0385 > 0,03 data 0,954 ditolak
Jadi, rata – rata % kadar total flavonoid pada ekstrak adalah 0,916%
0,9155
+
70
LAMPIRAN C
SERTIFIKAT ANALISIS PENGUJIAN EKSTRAK ETANOL
SALAM
71
LAMPIRAN D
SERTIFIKAT ANALISIS PENGUJIAN EKSTRAK ETANOL
SAMBILOTO
72
LAMPIRAN E
HASIL UJI MUTU FISIK GRANUL
Uji Granul Formula 1 Formula 2 Formula 3 Formula 4
Kadar air
I 4,63 4,67 4,87 5 II 5 4,67 3,99 4,83
Rata-rata 4,815 4,67 4,43 4,915 SD 0,26 0 0,62 0,12
Bulk density
I 0,5723 0,5967 0,5911 0,5975
II 0,5723 0,5801 0,5955 0,5788
Rata-rata 0,5723 0,5884 0,5933 0,5882
SD 0 0,01 0,003 0,01
Tapped
density
I 0,7298 0,7277 0,7209 0,7199
II 0,7065 0,7162 0,7351 0,7146
Rata-rata 0,7182 0,7220 0,728 0,7173
SD 0,02 0,008 0,01 0,004
Carr Index
I 18 18 18 17
II 19 19 19 19
Rata-rata 18,5 18,5 18,5 18
SD 0,71 0,71 0,71 1,41
Hausner
ratio
I 1,22 1,22 1,22 1,20
II 1,23 1,23 1,23 1,23
Rata-rata 1,225 1,225 1,225 1,215
SD 0,007 0,007 0,007 0,02
73
LAMPIRAN F
CONTOH PERHITUNGAN CARR’S INDEX DAN HAUSNER RATIO
Berat gelas ukur = 105,056
Berat gelas ukur + isi = 164,9005
Berat granul = 59,8445
V awal = 100
V akhir = 82
𝜌 𝑡𝑎𝑝𝑝𝑒𝑑 = 59,8445
82= 0,7298
𝜌 𝑏𝑢𝑙𝑘 = 59,8445
100= 0,5984
𝐻𝑎𝑢𝑠𝑛𝑒𝑟 𝑟𝑎𝑡𝑖𝑜 = 0,7298
0,5984= 1,22
𝐶𝑎𝑟𝑟′𝑠 𝑖𝑛𝑑𝑒𝑥 = 0,7298 − 0,5984
0,7298𝑥100 = 18
74
LAMPIRAN G
HASIL UJI KESERAGAMAN BOBOT TABLET FORMULA 1
Replikasi 1
No Bobot Tablet (mg) Penyimpangan (%)
1 699,9 0,7544
2 700,2 0,7118
3 702,4 0,3999 4 708,1 0,4084
5 709 0,5360
6 706,2 0,1390 7 704,8 0,0596
8 704,7 0,0737 9 708,3 0,4367
10 705,3 0,0113
11 706,8 0,2240 12 705,2 0,0028
13 705 0,0312
14 705 0,0312
15 702,4 0,3999
16 708,4 0,4509
17 705,2 0,0028 18 704,5 0,1021
19 705,1 0,0170
20 707,9 0,3800
Rata-rata 705,22
±
SD 2,55
75
Replikasi 2
No Bobot Tablet (mg) Penyimpangan (%)
1 700,7 0,64
2 700,4 0,68
3 706,6 0,20 4 704,2 0,14
5 698,1 1,01 6 704,1 0,16
7 697,9 1,04
8 696,8 1,19
9 703,2 0,29
10 699,8 0,77
11 705,3 0,01 12 706,1 0,12
13 705,9 0,10
14 702,4 0,40 15 701,7 0,50
16 706,1 0,12
17 694,5 1,52 18 704,4 0,12
19 699,2 0,85
20 700,8 0,63
Rata-rata 701,91
±
SD 3,49
76
LAMPIRAN H
HASIL UJI KEKERASAN TABLET FORMULA 1
No Replikasi 1 Replikasi 2
1 6,3 6,8
2 6 7,2 3 6,1 7,2
4 6,1 7
5 6 6,5
6 5,9 6,8
7 6,5 6,7 8 6,5 6,3
9 6,7 6,5
10 6,5 6,5
Rata-rata 6,26 6,75
±
SD 0,28 0,31
77
LAMPIRAN I
HASIL UJI KESERAGAMAN BOBOT TABLET FORMULA 2
Replikasi 1
No Bobot Tablet (mg) Penyimpangan (%)
1 704,7 0,16
2 707,3 0,21
3 708,8 0,43 4 707,2 0,20
5 705,4 0,06
6 707,5 0,24 7 704,2 0,23
8 705,3 0,07 9 706,6 0,11
10 707,8 0,28
11 700,3 0,78 12 705,5 0,04
13 706,4 0,09
14 705,3 0,07
15 701,8 0,57
16 705 0,11
17 708 0,31 18 705,3 0,07
19 705,7 0,01
20 707,8 0,28
Rata-rata 705,79
±
SD 2,07
78
Replikasi 2
No Bobot Tablet (mg) Penyimpangan (%)
1 702,5 0,47
2 701,9 0,55
3 699,3 0,92 4 702,1 0,52
5 704,4 0,20 6 702,6 0,45
7 701,9 0,55
8 700,6 0,74
9 701,6 0,59
10 699,9 0,84
11 706,8 0,14 12 706,6 0,11
13 702,7 0,44
14 704,2 0,23 15 701,8 0,57
16 703,5 0,33
17 703 0,40 18 702,1 0,52
19 697 1,25
20 705,5 0,04
Rata-rata 702,05
±
SD 2,35
79
LAMPIRAN J
HASIL UJI KEKERASAN TABLET FORMULA 2
No Replikasi 1 Replikasi 2
1 6,9 7,1
2 7,3 7,1 3 6,9 6,7
4 6,5 7,1
5 6,7 7
6 7,4 7,2
7 7 7,2 8 8 6,8
9 6,8 6,9
10 7 7
Rata-rata 7,05 7,01
±
SD 0,42 0,17
80
LAMPIRAN K
HASIL UJI KESERAGAMAN BOBOT TABLET FORMULA 3
Replikasi 1
No Bobot Tablet (mg) Penyimpangan (%)
1 699,9 0,35
2 699,3 0,43
3 699,4 0,42 4 703,9 0,22
5 699,6 0,39
6 704,3 0,28 7 700,2 0,30
8 699,9 0,35 9 706,6 0,61
10 702,3 0,00
11 705 0,38 12 703,9 0,22
13 700,7 0,23
14 704,5 0,31
15 703,7 0,20
16 700,6 0,25
17 703,2 0,12 18 703,3 0,14
19 702,6 0,04
20 703,7 0,20
Rata-rata 702,33
±
SD 2,20
81
Replikasi 2
No Bobot Tablet (mg) Penyimpangan (%)
1 709,6 1,04
2 709,9 1,08
3 708 0,81 4 707,1 0,68
5 704,5 0,31 6 704,1 0,25
7 710,8 1,21
8 709,6 1,04
9 703,1 0,11
10 707,2 0,69
11 704,8 0,35 12 703,3 0,14
13 705,2 0,41
14 705,7 0,48 15 698,1 0,60
16 710,1 1,11
17 706,3 0,57 18 702,2 0,02
19 709,9 1,08
20 705,8 0,49
Rata-rata 706,27
±
SD 3,26
82
LAMPIRAN L
KEKERASAN TABLET FORMULA 3
No Replikasi 1 Replikasi 2
1 8 7,2 2 7,3 7,3
3 7,4 7,4
4 6,9 7,3
5 7,6 7,4
6 7,5 7,2
7 6,8 7,4 8 7,3 7,2
9 7,5 7
10 7,4 7,2
Rata-rata 7,37 7,26
± SD 0,34 0,13
83
LAMPIRAN M
KESERAGAMAN BOBOT TABLET FORMULA 4
Replikasi 1
No Bobot Tablet (mg) Penyimpangan (%)
1 702,7 0,19 2 699,8 0,22
3 703,1 0,25
4 700,5 0,12
5 701,2 0,02
6 705,3 0,56
7 703,2 0,26 8 699,4 0,28
9 699,8 0,22
10 699 0,34 11 702,4 0,15
12 699,7 0,24
13 699,4 0,28 14 701,7 0,05
15 699,3 0,29
16 700,9 0,07 17 702,2 0,12
18 704,9 0,50
19 701,2 0,02 20 701,6 0,03
Rata-rata 701,37 ±
SD 1,84
84
Replikasi 2
No Bobot Tablet (mg) Penyimpangan (%)
1 703,2 0,26
2 704,1 0,39
3 704,6 0,46 4 703,6 0,32
5 700,7 0,09 6 702,3 0,13
7 701,3 0,01
8 704,3 0,42
9 699,2 0,31
10 699,1 0,32
11 701,9 0,08 12 696,8 0,65
13 699,2 0,31
14 697,1 0,61 15 706,1 0,68
16 704,8 0,49
17 704,2 0,40 18 702,5 0,16
19 701,1 0,04
20 704,5 0,45
Rata-rata 702,03
±
SD 2,66
85
LAMPIRAN N
KEKERASAN TABLET FORMULA 4
No Replikasi 1 Replikasi 2
1 6,7 7,2 2 7 6,8
3 7 7,4
4 6,7 6,7
5 6,8 7,1
6 6,9 7,5
7 6,8 7 8 7,1 6,8
9 7 6,9
10 6,8 6,9
Rata-rata 6,88 7,04
± SD 0,14 0,28
86
LAMPIRAN O
HASIL UJI KERAPUHAN FORMULA TABLET SALAM –
SAMBILOTO
Formula Rep Berat
awal
Berat
akhir
Berat
hilang Kerapuhan(%)
Rata-rata ±
SD
Formula 1 I 14,8196 14,7615 0,0581 0,39 0,36
II 14,0458 14,0004 0,0454 0,32 ± 0,05
Formula 2 I 14,1146 14,0602 0,0544 0,39 0,33
II 14,0741 14,0362 0,0379 0,27 ± 0,08
Formula 3 I 14,0619 14,0089 0,0530 0,38 0,39
II 14,1156 14,0600 0,0556 0,39 ± 0,01
Formula 4 I 14,0381 13,9895 0,0486 0,35 0,32
II 14,0318 13,9911 0,0407 0,29 ± 0,04
87
LAMPIRAN P
SERTIFIKAT ANALISIS EKSTRAK ETANOL DAUN SALAM
88
89
90
91
LAMPIRAN Q
SERTIFIKAT ANALISIS EKSTRAK ETANOL HERBA
SAMBILOTO
92
LAMPIRAN R
SERTIFIKAT ANALISIS PHARMATOSE
93
LAMPIRAN S
SERTIFIKAT ANALISIS CROSPOVIDONE
94
95
96
LAMPIRAN T
SERIFIKAT ANALISIS GELATIN
97
LAMPIRAN U
HASIL UJI STATISTIK KEKERASAN TABLET ANTAR
FORMULA TABLET EKSTRAK ETANOL SALAM-SAMBILOTO
98
LAMPIRAN V
HASIL UJI STATISTIK KERAPUHAN TABLET ANTAR
FORMULA TABLET EKSTRAK ETANOL SALAM-SAMBILOTO
99
LAMPIRAN W
HASIL UJI STATISTIK WAKTU HANCUR TABLET ANTAR
FORMULA TABLET EKSTRAK ETANOL SALAM-SAMBILOTO
100
LAMPIRAN X
HASIL ANOVA UJI KEKERASAN PADA DESIGN EXPERT
Response 1 Kekerasan
ANOVA for selected factorial model
Analysis of variance table [Partial sum of squares - Type III]
Source
Sum of Squares
df
Mean Square
F Value
p-value Prob > F
Model 0.60625 3 0.202083333 7.794921247 0.038 Significant A-Gelatin 0.00845 1 0.00845 0.325940212 0.5986 B-Crospovidone 0.245 1 0.245 9.450337512 0.0371 AB 0.3528 1 0.3528 13.60848602 0.021 Pure Error 0.1037 4 0.025925 Cor Total 0.70995 7
The Model F-value of 7.79 implies the model is significant. There is only a
3.80% chance that a "Model F-Value" this large could occur due to noise.
Values of "Prob > F" less than 0.0500 indicate model terms are significant.
In this case B, AB are significant model terms.
Values greater than 0.1000 indicate the model terms are not significant.
If there are many insignificant model terms (not counting those required to
support hierarchy), model reduction may improve your model.
Std. Dev. 0.16 R-Squared 0.8539
Mean6.96 Adj R-Squared 0.7444
C.V. % 2.31 Pred R-Squared 0.4157
PRESS 0.41 Adeq Precision 6.763
The "Pred R-Squared" of 0.4157 is not as close to the "Adj R-Squared" of
0.7444 as one might normally expect. This may indicate a large block
effect or a possible problem with your model and/or data.
Things to consider are model reduction, response tranformation, outliers,
etc.
"Adeq precision" measures the signal to noise ratio. A ratio greater than 4
is desirable. Your ratio of 6.763 indicates an adequate signal. This model
can be used to navigate the design space.
101
Factor Coefficient Estimate
df Standard
Error 95% CI
Low 95% CI High
VIF
Intercept 6.9625 1 0.056926488 6.804446736 7.1205533 A-Gelatin 0.0325 1 0.056926488 -0.12555326 0.1905533 1 B-Crospovidone
0.175 1 0.056926488 0.016946736 0.3330533 1
AB -0.21 1 0.056926488 -0.36805326 -0.051947 1
Final Equation in Terms of Coded Factors:
Kekerasan =
+6.96
+0.033 * A
+0.18 * B
-0.21 * A * B
Final Equation in Terms of Actual Factors:
Kekerasan =
+6.96250
+0.032500 * Gelatin
+0.17500 * Crospovidone
-0.21000 * Gelatin * Crospovidone
The Diagnostics Case Statistics Report has been moved to the Diagnostics
Node. In the Diagnostics Node, Select Case Statistics from the View Menu.
Proceed to Diagnostic Plots (the next icon in progression). Be sure to look
at the:
1) Normal probability plot of the studentized residuals to check for
normality of residuals.
2) Studentized residuals versus predicted values to check for constant
error.
3) Externally Studentized Residuals to look for outliers, i.e., influential
values.
4) Box-Cox plot for power transformations.
If all the model statistics and diagnostic plots are OK, finish up with the
Model Graphs icon.
102
LAMPIRAN Y
HASIL ANOVA UJI WAKTU HANCUR PADA DESIGN EXPERT
Response 2 Waktu hancur
ANOVA for selected factorial model
Analysis of variance table [Partial sum of squares - Type III]
Source Sum of Squares
df Mean
Square F
Value p-value Prob > F
Model 2.0602375 3 0.686745833 15.60342706 0.0113 significant A-Gelatin 1.9900125 1 1.9900125 45.21471173 0.0025 B-Crospovidone 0.0666125 1 0.0666125 1.513490486 0.286 AB 0.0036125 1 0.0036125 0.082078955 0.7887 Pure Error 0.17605 4 0.0440125 Cor Total 2.2362875 7
There is only a 1.13% chance that a The Model F-value of 15.60 implies
the model is significant. There is only a 1.13% chance that a "Model F-
Value" this large could occur due to noise.
Values of "Prob > F" less than 0.0500 indicate model terms are significant.
In this case A are significant model terms.
Values greater than 0.1000 indicate the model terms are not significant.
If there are many insignificant model terms (not counting those required to
support hierarchy), model reduction may improve your model.
Std. Dev. 0.21 R-Squared 0.9213
Mean13.11 Adj R-Squared 0.8622
C.V. % 1.60 Pred R-Squared 0.6851
PRESS 0.70 Adeq Precision 7.954
The "Pred R-Squared" of 0.6851 is in reasonable agreement with the "Adj
R-Squared" of 0.8622.
"Adeq Precision" measures the signal to noise ratio. A ratio greater than 4
is desirable. Your ratio of 7.954 indicates an adequate signal. This model
can be used to navigate the design space.
103
Factor Coefficient Estimate
df Standard
Error 95% CI
Low 95% CI High
VIF
Intercept 13.11125 1 0.074172518 12.90531408 13.317186 A-Gelatin 0.49875 1 0.074172518 0.292814079 0.7046859 1 B-Crospovidone 0.09125 1 0.074172518 -0.11468592 0.2971859 1 AB -0.02125 1 0.074172518 -0.22718592 0.1846859 1
Final Equation in Terms of Coded Factors:
Waktu hancur =
+13.11
+0.50 * A
+0.091 * B
-0.021 * A * B
Final Equation in Terms of Actual Factors:
Waktu hancur =
+13.11125
+0.49875 * Gelatin
+0.091250 * Crospovidone
-0.021250 * Gelatin * Crospovidone
The Diagnostics Case Statistics Report has been moved to the iagnostics
Node.
In the Diagnostics Node, Select Case Statistics from the View Menu.
Proceed to Diagnostic Plots (the next icon in progression). Be sure to
look at the:
1) Normal probability plot of the studentized residuals to check for
normality of residuals.
2) Studentized residuals versus predicted values to check for constant
error.
3) Externally Studentized Residuals to look for outliers, i.e., influential
values.
4) Box-Cox plot for power transformations.
If all the model statistics and diagnostic plots are OK, finish up with the
Model Graphs icon.
104
LAMPIRAN Z
HASIL ANOVA UJI KERAPUHAN PADA DESIGN EXPERT
Response 3 Kerapuhan
ANOVA for selected factorial model
Analysis of variance table [Partial sum of squares - Type III]
Source Sum of Squares
Df Mean
Square F
Value p-value Prob > F
Model 0.00505 3 0.0017 0.585507246 0.6558 not significant A-Gelatin 0.00405 1 0.00405 1.408695652 0.3009 B-Crospovidone 0.0002 1 0.0002 0.069565217 0.805 AB 0.0008 1 0.0008 0.27826087 0.6257 Pure Error 0.0115 4 0.002875 Cor Total 0.01655 7
The "Model F-value" of 0.59 implies the model is not significant relative to
the noise. There is a 65.58 % chance that a "Model F-value" this large
could occur due to noise.
Values of "Prob > F" less than 0.0500 indicate model terms are significant.
In this case there are no significant model terms.
Values greater than 0.1000 indicate the model terms are not significant.
If there are many insignificant model terms (not counting those required to
support hierarchy), model reduction may improve your model.
Std. Dev. 0.054 R-Squared 0.3051
Mean0.35 Adj R-Squared -0.2160
C.V. % 15.43 Pred R-Squared -1.7795
PRESS 0.046 Adeq Precision 1.714
A negative "Pred R-Squared" implies that the overall mean is a better
predictor of your response than the current model.
"Adeq Precision" measures the signal to noise ratio. A ratio of 1.71
indicates an inadequatesignal and we should not use this model to navigate
the design space.
105
Factor Coefficient Estimate
df Standard
Error 95% CI
Low 95% CI High
VIF
Intercept 0.3475 1 0.018957189 0.294866408 0.4001336
A-Gelatin -0.0225 1 0.018957189 -0.07513359 0.0301336 1 B-Crospovidone 0.005 1 0.018957189 -0.04763359 0.0576336 1
AB -0.01 1 0.018957189 -0.06263359 0.0426336 1
Final Equation in Terms of Coded Factors:
Kerapuhan =
+0.35
-0.023 * A
+5.000E-003 * B
-0.010 * A * B
Final Equation in Terms of Actual Factors:
Kerapuhan =
+0.34750
-0.022500 * Gelatin
+5.00000E-003 * Crospovidone
-0.010000 * Gelatin * Crospovidone
The Diagnostics Case Statistics Report has been moved to the iagnostics
Node.
In the Diagnostics Node, Select Case Statistics from the View Menu.
Proceed to Diagnostic Plots (the next icon in progression). Be sure to
look at the:
1) Normal probability plot of the studentized residuals to check for
normality of residuals.
2) Studentized residuals versus predicted values to check for constant
error.
3) Externally Studentized Residuals to look for outliers, i.e., influential
values.
4) Box-Cox plot for power transformations.
If all the model statistics and diagnostic plots are OK, finish up with the
model Graphs icon.
106
LAMPIRAN AA
HASIL UJI KESERAGAMAN BOBOT TABLET FORMULA
OPTIMUM
Replikasi 1
No Bobot Tablet (mg) Penyimpangan (%)
1 686,3 0,83
2 688,5 0,51 3 692,6 0,08
4 688,3 0,54
5 689 0,44 6 685,5 0,95
7 686,2 0,85
8 690,9 0,17 9 690,6 0,21
10 681,9 1,47
11 686,6 0,79 12 699 1,00
13 699,4 1,06
14 699,3 1,05 15 695 0,43
16 693,2 0,17
17 695,4 0,48 18 694,7 0,38
19 699,6 1,09
20 699 1,00
Rata-rata 692,05
±
SD 5,48
107
Replikasi 2
No Bobot Tablet (mg) Penyimpangan (%)
1 693,4 0,20
2 692,5 0,07
3 692 0,01 4 690,9 0,17
5 686,2 0,85 6 689,8 0,33
7 687,1 0,72
8 690,5 0,22
9 693 0,14
10 684,6 1,08
11 692,5 0,07 12 684,7 1,06
13 689,3 0,40
14 685,4 0,96 15 694,5 0,35
16 686,4 0,82
17 688,1 0,57 18 685,9 0.89
19 689,5 0,37
20 687,7 0,63
Rata-rata 689,2
±
SD 3,13
108
LAMPIRAN AB
HASIL UJI KEKERASAN TABLET FORMULA OPTIMUM
No Replikasi 1 Replikasi 2
1 6,3 6,3 2 7 6,8
3 6,4 6,2
4 6,5 6,1
5 6,8 7
6 6,5 6,2
7 6,1 6,7 8 6,3 6,4
9 6,3 6,4
10 7 6,6
Rata-rata 6,52 6,47
± SD 0,31 0,29
109
LAMPIRAN AC
HASIL UJI KERAPUHAN TABLET FORMULA OPTIMUM
Formula Berat awal Berat akhir Berat hilang Kerapuhan Rata-rata ±
SD
Formula I 13,766 13,6330 0,0470 0,34 0,35
II 13,719 13,5834 0,0496 0,36 ± 0,02
110
LAMPIRAN AD
HASIL UJI STATISTIK ONE SAMPLE T-TEST KEKERASAN
TABLET FORMULA OPTIMUM SALAM-SAMBILOTO
111
LAMPIRAN AE
HASIL UJI STATISTIK ONE SAMPLE T-TEST KERAPUHAN
TABLET FORMULA OPTIMUM SALAM-SAMBILOTO
112
LAMPIRAN AF
HASIL UJI STATISTIK ONE SAMPLE T-TEST WAKTU HANCUR
TABLET FORMULA OPTIMUM SALAM-SAMBILOTO
113
LAMPIRAN AG
HASIL UJI PENETAPAN KADAR TABLET FORMULA OPTIMUM
Kurva baku
Pengamatan dilakukan pada panjang gelombang maximum 440,8
Konsentrasi Absorbansi
0,65 0,016
1,25 0,075
2,5 0,196
5 0,417
8 0,709
10 0,926
Persamaan kurva baku = -0,049 + 9,610 x 10-2
R hitung = 0,999 R tabel (4, 1%) = 0,917
R hitung > R tabel terdapat korelasi
Penetapan kadar
Replikasi Absorbansi Kadar Flavonoid Total
dalam Tablet % recovery
1 0,247 0,110% 97,15
2 0,258 0,114% 99,73
Rata-rata 0,112 % 98,44%
SD 0,003 1,82 KV 2,68 1,85
Penetapan Kadar (Replikasi 1)
Berat tablet yang ditimbang = 700,5 mg
Berat rata-rata 3 tablet = 695,5 mg
Absorbansi = 0,247
Kadar flavonoid dalam ekstrak = 0,175%
Berat ekstrak dalam 1 tablet = 0,45 gram
114
% 𝑓𝑙𝑎𝑣𝑜𝑛𝑜𝑖𝑑 𝑑𝑎𝑙𝑎𝑚 𝑡𝑎𝑏𝑙𝑒𝑡 =3,080 𝑥 10
700,50,025
𝑥100% = 0,110%
% 𝑝𝑒𝑟𝑜𝑙𝑒ℎ𝑎𝑛 𝑘𝑒𝑚𝑏𝑎𝑙𝑖 =0,110% 𝑥 0.6955
0,175% 𝑥 0,45𝑥 100 = 97,15%
Penetapan Kadar (Replikasi 2)
Berat tablet yang ditimbang = 702,7 mg
Berat rata-rata 3 tablet = 688,9 mg
Absorbansi = 0,258
Kadar flavonoid dalam ekstrak = 0,175%
Berat ekstrak dalam 1 tablet = 0,45 gram
𝐾𝑎𝑑𝑎𝑟 𝑓𝑙𝑎𝑣𝑜𝑛𝑜𝑖𝑑 𝑑𝑎𝑙𝑎𝑚 𝑡𝑎𝑏𝑙𝑒𝑡 =3,195 𝑥 10
702,70,025
𝑥100% = 0,114%
% 𝑝𝑒𝑟𝑜𝑙𝑒ℎ𝑎𝑛 𝑘𝑒𝑚𝑏𝑎𝑙𝑖 =0,114% 𝑥 0.6889
0,175% 𝑥 0,45𝑥 100 = 99,73%
115
LAMPIRAN AH
TABEL R
116
LAMPIRAN AI
TABEL F (0,05)
117
LAMPIRAN AJ
TABEL T