LAMPIRAN A HASIL UJI MUTU FISIK GRANUL
Replikasi Mutu fisk yang diuji Waktu alir (detik)
I II III X
Sudut diam (derajat)
SD I II III X
Indeks kompresibil itas (persen)
SD I II III X
SD
Formula Tablet Sublingual Propranolol Hidroklorida FI F II F III F IV 9.57 8.54 7.56 6.01 9.45 8.65 7.41 6.05 6.02 9.37 8.45 7.49 9.46 8.55 7.49 6.03 0.02 0.10 0.10 0.08 26.56 27.32 25.01 26.56 27.12 25.10 26.56 26.67 25.65 27.3 25.07 26.56 27.25 25.06 26.56 26.29 0.34 0.34 0.33 0.34 12.00 19.00 22.00 12.99 19.05
22.00
13.00
12.10
19.00 19.02 0.03
22.10 22.03 0.06
13.00 13.00 0.01
12.11 12.07 0.06
63
Persyaratan Tidak lebih dari 10 detik (Banker & Anderson, 1994) 25-40 Baik (Wells, 1993)
12 -16% baik; 18-23%cukup dapat mengalir (Wells, 1993)
64 LAMPIRAN B HASIL UJI KEKERASAN TABLET SUBLINGUAL PROPRANOLOL HIDROKLORIDA BATCH I No
1 2 3 4 5 6 7 8 9 10 X ± SD SD rel (%)
Kekerasan Tablet Sublingual Propranolol Hidroklorida (kp) Formula I Formula II Formula III Formula IV 5,9 7,3 4,4 7,1 6,4 7,3 4,6 7,2 7,4 5,6 6,9 6,3 7,2 5,6 5,4 7,1 6,9 4,8 6,7 6,4 6,2 4,1 6,5 7,1 7,4 5,8 5,2 5,8 7,1 4,2 6,7 7,3 6,1 4,8 6,2 7,1 6,0 4,4 6,4 6,8 6,43 ± 6,62 ± 0,53 6,89 ± 0,57 4,83 ± 0,62 0,67 8,08 8,22 12,88 10,42
BATCH II No
1 2 3 4 5 6 7 8 9 10 X ± SD SD rel (%)
Kekerasan Tablet Sublingual Propranolol Hidroklorida (kp) Formula Formula Formula Formula III IV I II 6,8 7,4 5,8 6,4 7,3 7,5 5,4 7,3 7,1 6,9 4,8 7,1 6,3 6,6 4,1 6,5 5,6 6,7 5,6 5,3 5,8 6,9 4,8 6,5 7,1 7,1 4,7 6,2 7,1 7,6 5,2 5,6 6,3 7,4 4,4 6,5 5,5 6,4 5,4 6,1 6,49 ± 0,68 7,05± 0,41 5,02 ± 0,55 6,35 ± 0,60 10,51 5,88 10,90 9,51
64
65 BATCH III No 1 2 3 4 5 6 7 8 9 10 X ± SD SD rel (%)
Kekerasan Tablet Sublingual Propranolol Hidroklorida (kp) Formula I Formula II Formula III Formula IV 6.5 7.2 4.6 6.5 7,2 7.1 4.6 7.6 6.9 6.9 4.7 6.5 5.6 7.3 5.6 6.8 5.8 6.9 4,5 7.1 5.7 6.9 4.8 7.2 7.1 7.3 5.2 6.9 6.6 7.3 4.9 5.4 5 6.7 5.5 7.4 5.9 6.7 4.9 6.5 6,18 ± 0,60 9,73
7,10± 0,24 3,32
65
4,92 ± 0,32 6,49
6,72 ± 0,58 8,70
66 LAMPIRAN C HASIL UJI KERAPUHAN TABLET SUBLINGUAL PROPRANOLOL HIDROKLORIDA
Formula
I
II
III
IV
Replikasi 1 2 3 1 2 3 1 2 3 1 2 3
Berat awal (gram) 7010 7025 7015 7037 7020 7015 7020 7010 7023 7050 7069 7065
Berat akhir (gram) 6990 7005 6995 7030 7015 7010 6980 6969.5 6985.5 7040 7058 7054
66
Kerapuhan (%) 0.2853 0.2847 0.2851 0.0995 0.0712 0.0713 0.5698 0.5777 0.5340 0.1418 0.1556 0.1557
X ±SD
0.2850 ± 0.0003 0.0807 ± 0.0163 0.5605 ± 0.0233 0.1511 ± 0.0080
SDrel (%) 0.11
20.20
4.16
5.28
67 LAMPIRAN D HASIL UJI WAKTU HANCUR TABLET SUBLINGUAL PROPRANOLOL HIDROKLORIDA
Waktu Hancur (menit) Formula Formula Formula II III IV
Replikasi
Formula I
1
1,55
4,10
1,00
2,30
2
1,45
4,00
1,30
2,45
3
1,50
4,20
1,30
X ±SD
1,5±0,05
4,1±0,1
1,35±0,09
2,50 2,42 ±0,10
SD Rel(%)
3,33
2,44
6,42
4,31
67
68 LAMPIRAN E HASIL UJI KESERAGAMAN KANDUNGAN TABLET SUBLINGUAL PROPRANOLOL HIDROKLORIDA Hasil Uji Keseragaman Kandungan Tablet Formula I Batch I Abs 1.543 1.514 1.415 1.513 1.517 1.511 1.499 1.521 1.537 1.513
C sampel 16.23 16.23 16.18 16.00 16.46 16.18 16.05 16.00 16.46 16.00
W sampel 355 355 354 350 360 354 351 350 360 350
C teoritis 16.46 16.46 16.37 16.00 16.93 16.37 16.09 16.00 16.93 16.00 X
SD KV
Kadar (persen) 98.59 98.59 98.87 100.00 97.22 98.87 99.72 100.00 97.22 100.00 98.91 1.06 1.07
Hasil Uji Keseragaman Kandungan Tablet Formula I Batch II Abs 1.513 1.517 1.511 1.499 1.532 1.513 1.542 1.572 1.523 1.521
C sampel 16.50 16.46 16.23 16.46 16.46 16.00 15.54 16.23 16.46 16.46
W sampel 361.0 360.0 355.0 360.0 360.0 350.0 340.0 355.0 360.0 360.0
C teoritis 17.02 16.93 16.46 16.93 16.93 16.00 15.10 16.46 16.93 16.93 X
SD KV
68
Kadar (persen) 96.95 97.22 98.59 97.22 97.22 100.00 102.94 98.59 97.22 97.22 98.32 1.89 1.92
69 Hasil Uji Keseragaman Kandungan Tablet Formula I Batch III Abs 1.521 1.484 1.476 1.511 1.495 1.532 1.487 1.513 1.564 1.523
C sampel 16.00 16.46 16.23 16.00 16.18 16.46 16.00 16.46 16.91 16.00
W sampel 350 360 355 350 354 360 350 360 370 350
C teoritis 16.00 16.93 16.46 16.00 16.37 16.93 16.00 16.93 17.88 16.00 X
SD KV
Kadar (persen) 100.00 97.22 98.59 100.00 98.87 97.22 100.00 97.22 94.59 100.00 98.37 1.80 1.83
Hasil Uji Keseragaman Kandungan Tablet Formula II Batch I Abs 1.511 1.499 1.521 1.537 1.532 1.513 1.542 1.572 1.532 1.513
C sampel 16.46 16.09 16.23 16.46 16.14 16.09 16.27 16.37 16.09 16.05
W sampel 360 352 355 360 353 352 356 358 352 351
C teoritis 16.93 16.18 16.46 16.93 16.28 16.18 16.55 16.74 16.18 16.09 X
SD KV
69
Kadar (persen) 97.22 99.43 98.59 97.22 99.15 99.43 98.31 97.77 99.43 99.72 98.63 0.95 0.97
70 Hasil Uji Keseragaman Kandungan Tablet Formula II Batch II Abs 1.484 1.476 1.511 1.495 1.532 1.487 1.513 1.551 1.523 1.432
C sampel 16.23 16.32 16.27 15.95 15.77 16.82 16.78 16.55 16.69 16.23
W sampel 355 357 356 349 345 368 367 362 365 355
C teoritis 16.46 16.65 16.55 15.91 15.55 17.69 17.59 17.12 17.40 16.46 X
SD KV
Kadar (persen) 98.59 98.04 98.31 100.29 101.45 95.11 95.37 96.69 95.89 98.59 97.83 2.08 2.13
Hasil Uji Keseragaman Kandungan Tablet Formula II Batch III Abs 1.543 1.574 1.499 1.587 1.523 1.601 1.532 1.526 1.519 1.521
C sampel 16.32 16.23 16.46 16.69 16.73 15.77 16.00 16.00 16.46 16.46
W sampel 357 355 360 365 366 345 350 350 360 360
C teoritis 16.65 16.46 16.93 17.40 17.50 15.55 16.00 16.00 16.93 16.93 X
SD KV
70
Kadar (persen) 98.04 98.59 97.22 95.89 95.63 101.45 100.00 100.00 97.22 97.22 98.13 1.88 1.92
71 Hasil Uji Keseragaman Kandungan Tablet Formula III Batch I Abs 1.511 1.495 1.532 1.487 1.513 1.532 1.513 1.542 1.572 1.532
C sampel 16.00 16.46 16.46 16.69 16.00 16.46 16.46 16.00 16.46 16.00
W sampel 350 360 360 365 350 360 360 350 360 350
C teoritis 16.00 16.93 16.93 17.40 16.00 16.93 16.93 16.00 16.93 16.00 X
SD KV
Kadar (persen) 100.00 97.22 97.22 95.89 100.00 97.22 97.22 100.00 97.22 100.00 98.20 1.60 1.63
Hasil Uji Keseragaman Kandungan Tablet Formula III Batch II Abs 1.415 1.513 1.517 1.511 1.532 1.487 1.513 1.532 1.513 1.551
C sampel 16.00 16.46 16.23 15.54 16.46 16.00 16.46 16.91 16.46 16.00
W sampel 350 360 355 340 360 350 360 370 360 350
C teoritis 16.00 16.93 16.46 15.10 16.93 16.00 16.93 17.88 16.93 16.00 X
SD KV
71
Kadar (persen) 100.00 97.22 98.59 102.94 97.22 100.00 97.22 94.59 97.22 100.00 98.50 2.32 2.35
72 Hasil Uji Keseragaman Kandungan Tablet Formula III Batch III Abs 1.523 1.601 1.532 1.526 1.519 1.532 1.487 1.513 1.551 1.523
C sampel 16.00 16.46 16.46 16.46 16.00 16.23 16.00 16.46 16.46 16.23
W sampel 350.0 360.0 360.0 360.0 350.0 355.0 350.0 360.0 360.0 355.0
C teoritis 16.00 16.93 16.93 16.93 16.00 16.46 16.00 16.93 16.93 16.46 X
SD KV
Kadar (persen) 100.00 97.22 97.22 97.22 100.00 98.59 100.00 97.22 97.22 98.59 98.33 1.28 1.30
Hasil Uji Keseragaman Kandungan Tablet Formula IV Batch I Abs 1.513 1.532 1.513 1.542 1.572 1.511 1.532 1.487 1.513 1.532
C sampel 16.00 15.54 15.77 16.00 16.46 16.46 16.46 16.46 15.54 15.77
W sampel 350.0 340.0 345.0 350.0 360.0 360.0 360.0 360.0 340.0 345.0
C teoritis 16.00 15.10 15.55 16.00 16.93 16.93 16.93 16.93 15.10 15.55 X
SD KV
72
Kadar (persen) 100.00 102.94 101.45 100.00 97.22 97.22 97.22 97.22 102.94 101.45 99.77 2.40 2.41
73 Hasil Uji Keseragaman Kandungan Tablet Formula IV Batch II Abs 1.513 1.542 1.572 1.511 1.532 1.513 1.532 1.513 1.542 1.572
C sampel 16.00 16.46 16.69 16.23 16.46 16.00 16.46 16.00 16.91 16.00
W sampel 350.0 360.0 365.0 355.0 360.0 350.0 360.0 350.0 370.0 350.0
C teoritis 16.00 16.93 17.40 16.46 16.93 16.00 16.93 16.00 17.88 16.00 X
SD KV
Kadar (persen) 100.00 97.22 95.89 98.59 97.22 100.00 97.22 100.00 94.59 100.00 98.07 1.95 1.99
Hasil Uji Keseragaman Kandungan Tablet Formula IV Batch III Abs 1.511 1.532 1.513 1.532 1.513 1.526 1.519 1.532 1.487 1.513
C sampel 16.46 16.00 16.23 16.46 16.46 16.00 16.46 16.00 16.46 16.46
W sampel 360.0 350.0 355.0 360.0 360.0 350.0 360.0 350.0 360.0 360.0
C teoritis 16.93 16.00 16.46 16.93 16.93 16.00 16.93 16.00 16.93 16.93 X
SD KV
73
Kadar (persen) 97.22 100.00 98.59 97.22 97.22 100.00 97.22 100.00 97.22 97.22 98.19 1.32 1.34
74 LAMPIRAN F HASIL PENETAPAN KADAR TABLET SUBLINGUAL PROPRANOLOL HIDROKLORIDA Batch I Formula
I
II
III
IV
Replikasi
Absorbansi
1 2 3 1 2 3 1 2 3 1 2 3
1.532 1.342 1.435 1.412 1.524 1.499 1.492 1.512 1.501 1.517 1.511 1.522
Replikasi
Absorbansi
1 2 3 1 2 3 1 2 3 1 2 3
1.423 1.432 1.512 1.473 1.413 1.339 1.465 1.410 1.427 1.510 1.388 1.391
Csampel (µg/ml) 64.98 48.30 56.46 54.44 64.27 62.08 61.46 63.22 62.25 63.66 63.13 64.09
Cteoritis (µg/ml) 66.84 49.68 56.46 54.44 66.11 63.85 61.46 63.22 62.25 63.66 63.13 65.92
Kadar (%) 97.22 97.22 100.00 100.00 97.22 97.22 100.00 100.00 100.00 100.00 100.00 97.22
Cteoritis (µg/ml) 55.41 58.61 63.22 61.51 56.09 49.40 59.09 54.27 56.56 64.85 53.08 54.10
Kadar (%) 100.00 95.89 100.00 97.22 97.22 97.22 100.00 100.00 98.59 97.22 98.59 97.22
X ±SD 98.15 ± 1.60 98.15 ± 1.60 100.00 ± 0.00 99.07 ± 1.60
SDrel(%)
1.63
1.63
0.00
1.62
Batch II Formula
I
II
III
IV
Csampel (µg/ml) 55.41 56.2 63.22 59.80 54.53 48.03 59.09 54.27 55.76 63.05 52.33 52.60
74
X ±SD 98.63 ± 2.37 97.22 ± 0.00 99.53 ± 0.81 97.68 ± 0.79
SDrel(%)
2.41
0.00
0.82
0.81
75 Batch III Formula
I
II
III
IV
Replikasi
Absorbansi
1 2 3 1 2 3 1 2 3 1 2 3
1.511 1.481 1.423 1.324 1.412 1.332 1.519 1.523 1.492 1.505 1.482 1.488
Csampel (µg/ml) 63.13 60.50 55.41 46.72 54.44 47.42 63.83 64.19 61.46 62.60 60.59 61.11
75
Cteoritis (µg/ml) 65.84 62.23 57.78 46.72 54.44 46.74 64.74 64.19 63.22 62.60 60.59 61.11
Kadar (%) 95.89 97.22 95.89 100.00 100.00 101.45 98.59 100.00 97.22 100.00 100.00 100.00
X ±SD 96.33 ± 0.77 100.48 ± 0.84 98.60 ± 1.39 100.00 ± 0.00
SDrel(%)
0.80
0.83
1.41
0.00
76 LAMPIRAN G HASIL UJI DISOLUSI TABLET SUBLINGUAL PROPRANOLOL HIDROKLORIDA PADA t = 15 MENIT Batch 1 formula
I
II
III
IV
Tablet 1 2 3 4 5 6 1 2 3 4 5 6 1 2 3 4 5 6 1 2 3 4 5 6
Absorbsi 1.1858 1.1856 1.1867 1.1859 1.1863 1.1859 1.1483 1.1747 1.1774 1.1677 1.1812 1.1709 1.294 1.2705 1.296 1.2897 1.2974 1.2705 1.296 1.2355 1.2898 1.2254 1.2355 1.2993
C sampel JPO 67.6534 67.6404 67.7115 67.6598 67.6856 67.6598 65.2321 66.9367 67.1109 66.4847 67.3563 66.6913 74.6395 73.1222 74.7686 74.3619 74.859 73.1222 74.7686 70.8623 74.3683 70.2102 70.8623 74.9817
76
Wt (mg) 33.8267 33.8202 33.8557 33.8299 33.8428 33.8299 32.6161 33.4684 33.5555 33.2424 33.6782 33.3457 37.3198 36.5611 37.3843 37.181 37.4295 36.5611 37.3843 35.4312 37.1842 35.1051 35.4312 37.4909
% obat terlarut 86.5576 86.5409 86.6319 86.5658 86.5988 86.5658 82.6811 84.8417 85.0625 84.2688 85.3735 84.5306 93.8814 91.973 94.0438 93.5323 94.1575 91.973 94.4811 89.545 93.9753 88.7209 89.545 94.7504
77 Batch II formula
I
II
III
IV
Tablet 1 2 3 4 5 6 1 2 3 4 5 6 1 2 3 4 5 6 1 2 3 4 5 6
Absorbsi 1.1858 1.1858 1.1867 1.1859 1.1863 1.1859 1.1344 1.1016 1.1969 1.1922 1.1942 1.1804 1.2915 1.2856 1.2939 1.2805 1.2956 1.2676 1.2567 1.2554 1.2795 1.2355 1.2993 1.296
C sampel JPO 67.6534 67.6534 67.7115 67.6598 67.6856 67.6598 64.3346 62.2168 68.3701 68.0666 68.1957 67.3047 74.4781 74.0971 74.6331 73.7679 74.7428 72.9349 72.2312 72.1472 73.7032 70.8623 74.9817 74.7686
77
Wt (mg) 33.8267 33.8267 33.8558 33.8299 33.8428 33.8299 32.1673 31.1084 34.1851 34.0333 34.0979 33.6524 37.2391 37.0486 37.3166 36.884 37.3714 36.4675 36.1156 36.0736 36.8516 35.4312 37.4909 37.3843
% obat terlarut 84.2131 84.2131 84.2854 84.221 84.2531 84.221 81.5436 78.8593 86.6585 86.2738 86.4375 85.3081 93.6784 93.1992 93.8734 92.7851 94.0114 91.7374 91.2748 91.1686 93.1349 89.545 94.7504 94.4811
78 Batch III formula
I
II
III
IV
Tablet 1 2 3 4 5 6 1 2 3 4 5 6 1 2 3 4 5 6 1 2 3 4 5 6
Absorbsi 1.1647 1.1812 1.1816 1.1717 1.1844 1.1722 1.1448 1.1447 1.1549 1.1459 1.1548 1.1556 1.2635 1.2965 1.2705 1.2815 1.2832 1.2845 1.3046 1.2355 1.3046 1.2795 1.329 1.2567
C sampel JPO 66.291 67.3563 67.3822 66.7429 67.563 66.7752 65.0061 64.9996 65.6582 65.0771 65.6518 65.7034 72.6702 74.8009 73.1222 73.8324 73.9422 74.0261 75.3239 70.8623 75.3239 73.7032 76.8994 72.2312
78
Wt (mg) 33.1455 33.6782 33.6911 33.3715 33.7815 33.3876 32.5031 32.4998 32.8291 32.5386 32.8259 32.8517 36.3351 37.4005 36.5611 36.9162 36.9711 37.0131 37.662 35.4312 37.662 36.8516 38.4497 36.1156
% obat terlarut 82.5172 83.8432 83.8755 83.0797 84.1005 83.1199 82.3947 82.3864 83.2212 82.4847 83.2131 83.2785 91.8295 94.522 92.4007 93.2981 93.4369 93.5429 95.1828 89.545 95.1828 93.1349 97.1737 91.2748
79 LAMPIRAN H CONTOH PERHITUNGAN
Contoh perhitungan sudut diam: Formula A: W persegi panjang
= 4,92 gram
W lingkaran
= 1,062 gram
Luas persegi panjang = 712,8 cm2 Luas lingkaran L
= S.r2
r2
=
= 1,062 u 712,8 = 153,86 cm2 4,92
L ʌ
= 153,86 3,14 r
= 7 cm
tg D
=
t 2,5 = r 7
=27.32q Contoh perhitungan indeks kompresibilitas: Formula A : Berat gelas = 111,33 g (W1) Berat gelas + granul = 177,5 g (W2) V1 = 100 ml V2 = 81 m
79
80
Bj nyata =
(W2 W1 ) = (177,5 111,33) = 0,6617 100 V1
Bj mampat
= (W2 W1 ) = (177,5 111,33) = 0,8169 81 V2
% kompresibilitas
= §¨1 Bj.nyata ·¸x 100% = 19% ¨ Bj.mampat ¸ © ¹
Contoh perhitungan akurasi & presisi: %
100
Bahan Aktif (mg) 40
Matriks (mg)
Aquadest
Pipet
Aquadest
Konsentrasi JPO
260
50
0,32
5
51,2
Absorbansi = 1.378ĺy = 0,0114x + 0,7918 Konsentrasi sebenarnya = 51.4575 ppm Konsentrasi teoritis = 51.4560 ppm % perolehan kembali = (konsentrasi sebenarnya / konsentrasi teoritis) x 100% = (51.4575 / 51.4560) x 100% = 100% Untuk menghitung % KV
= SD x 100% X
% obat yang terlarut = Wt x100% 40
80
81 LAMPIRAN I SERTIFIKAT ANALISIS PROPRANOLOL HIDROKLORIDA
81
82 LAMPIRAN J TABEL F
82
83 LAMPIRAN K TABEL UJI R
Dikutip dari: Soedigdo & Soedigdo (1977)
83
84 LAMPIRAN L HASIL UJI ANAVA KEKERASAN TABLET DENGAN DESIGN EXPERT Response 1 Kekerasan ANOVA for selected factorial model Analysis of variance table [Partial sum of squares - Type III] Sum of Mean F p-value Source Squares df Square Value Prob >F Model 7.30 3 2.43 88.43 < 0.0001 significant A-Avicel 3.50 1 3.50 127.17 < 0.0001 B-SSG 3.06 1 3.06 111.22 < 0.0001 AB 0.74 1 0.74 26.89 0.0008 Pure Error0.22 8 0.028 Cor Total7.52 11 The Model F-value of 88.43 implies the model is significant. There is only a 0.01% 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, 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. Mean C.V. % PRESS
0.17 6.22 2.67 0.50
R-Squared Adj R-Squared Pred R-Squared Adeq Precision
0.9707 0.9597 0.9341 21.823
The "Pred R-Squared" of 0.9341 is in reasonable agreement with the "Adj R-Squared" of 0.9597. "Adeq Precision" measures the signal to noise ratio. A ratio greater than 4 is desirable. Your ratio of 21.823 indicates an adequate signal. This model can be used to 84
85 navigate the design space.
Factor Intercept A-Avicel B-SSG AB
Coefficient Standard 95% CI 95% CI Estimate df Error Low 6.22 1 0.048 6.11 0.54 1 0.048 0.43 -0.51 1 0.048 -0.62 0.25 1 0.048 0.14
High 6.33 0.65 -0.39 0.36
VIF 1.00 1.00 1.00
Final Equation in Terms of Coded Factors: Kekerasan +6.22 +0.54 -0.51 +0.25
= *A *B *A*B
Final Equation in Terms of Actual Factors: Kekerasan +6.68000 +6.30556E-003 -0.41667 +4.13889E-003
= * Avicel * SSG * Avicel * SSG
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
85
86 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.
86
87 LAMPIRAN M HASIL UJI ANAVA KERAPUHAN TABLET DENGAN DESIGN EXPERT Response 2 Kerapuhan ANOVA for selected factorial model Analysis of variance table [Partial sum of squares - Type III] Sum of Mean F p-value Source Squares df Square Value Prob > F Model 0.40 3 0.13 617.25< 0.0001 A-Avicel 0.28 1 0.28 1295.78 B-SSG 0.090 1 0.090 411.31 AB0.032 1 0.032 144.66 Pure Error 1.745E-003 8 2.181E-004 Cor Total 0.41 11
< 0.0001 < 0.0001 < 0.0001
The Model F-value of 617.25 implies the model is significant. There is only a 0.01% 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, 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. 0.015 Mean 0.27 C.V. % 5.48 PRESS 3.926E-003
R-Squared Adj R-Squared Pred R-Squared Adeq Precision
0.9957 0.9941 0.9903 56.278
The "Pred R-Squared" of 0.9903 is in reasonable agreement with the "Adj R-Squared" of 0.9941. "Adeq Precision" measures the signal to noise ratio. A ratio greater than 4 is desirable. Your ratio of 56.278 indicates an adequate signal. This model can be used to 87
88 navigate the design space. Coefficient Factor Estimate Intercept 0.27 A-Avicel -0.15 B-SSG 0.086 AB -0.051
df 1 1 1 1
Standard Error 4.263E-003 0.26 4.263E-003 -0.16 4.263E-003 0.077 4.263E-003 -0.061
95% CI 95% CI Low High 0.28 -0.14 0.096 -0.041
Final Equation in Terms of Coded Factors: Kerapuhan +0.27 -0.15 +0.086 -0.051
= *A *B *A*B
Final Equation in Terms of Actual Factors: Kerapuhan +0.32921 -3.40000E-003 +0.080094 -8.54583E-004
= * Avicel * SSG * Avicel * SSG
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 88
89 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.
89
90 LAMPIRAN N HASIL UJI ANAVA WAKTU HANCUR TABLET DENGAN DESIGN EXPERT
Response 3 Waktu hancur ANOVA for selected factorial model Analysis of variance table [Partial sum of squares - Type III] Sum of Mean F p-value Source Squares df Square Value Prob > F Model 23.53 3 7.84 537.77 < 0.0001 A-Avicel 5.88 1 5.88 403.20 < 0.0001 B-SSG 17.28 1 17.28 1184.91 <0.0001 AB0.37 1 0.37 25.20 0.0010 Pure Error 0.12 8 0.015 Cor Total 23.64 11 The Model F-value of 537.77 implies the model is significant. There is only a 0.01% 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, 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. Mean C.V. % PRESS
0.12 3.09 3.91 0.26
R-Squared Adj R-Squared Pred R-Squared Adeq Precision
0.9951 0.9932 0.9889 54.502
The "Pred R-Squared" of 0.9889 is in reasonable agreement with the "Adj R-Squared" of 0.9932. "Adeq Precision" measures the signal to noise ratio. A ratio greater than 4 is desirable. Your ratio of 54.502 indicates an adequate signal. This model can be used to 90
91 navigate the design space.
Factor Intercept A-Avicel B-SSG AB
Coefficient Estimate 3.09 0.70 -1.20 -0.17
df 1 1 1 1
Standard Error 0.035 0.035 0.035 0.035
95% CI Low 3.01 0.62 -1.28 -0.26
95% CI High 3.17 0.78 1.12 -0.095
Final Equation in Terms of Coded Factors: Waktu hancur +3.09 +0.70 -1.20 -0.17
= *A *B *A*B
Final Equation in Terms of Actual Factors: Waktu hancur +2.11667 +0.049583 -0.22500 -2.91667E-003
= * Avicel * SSG * Avicel * SSG
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 91
92 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.
92
93 LAMPIRAN O HASIL UJI ANAVA PERSEN OBAT TERLARUT DALAM T = 15 MENIT DENGAN DESIGN EXPERT
Response 4. Disolusi ANOVA for selected factorial model Analysis of variance table [Partial sum of squares - Type III] Sum of Mean F p-value Source Squares df Square Value Prob > F Model 191.28 3 63.76 329.83 < 0.0001significant A-Avicel 47.70 1 47.70 246.78 < 0.0001 B-SSG 131.19 1 131.19 678.67 < 0.0001 AB 12.38 1 12.38 64.05 < 0.0001 Pure Error 1.55 8 0.19 Cor Total 192.83 11 The Model F-value of 329.83 implies the model is significant. There is only a 0.01% 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, 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. Mean88.66 C.V. % PRESS
0.44 0.50 3.48
R-Squared Adj R-Squared Pred R-Squared Adeq Precision
0.9920 0.9890 0.9820 41.761
The "Pred R-Squared" of 0.9820 is in reasonable agreement with the "Adj R-Squared" of 0.9890. "Adeq Precision" measures the signal to noise ratio. A ratio greater than 4 is desirable. Your 93
94 ratio of 41.761 indicates an adequate signal. This model can be used to navigate the design space. Coefficient Factor Intercept A-Avicel B-SSG AB1.02
Standard 95% CI Estimate df Error 88.66 1 0.13 -1.99 1 0.13 3.31 1 0.13 1 0.13 0.72
95% CI Low 88.37 -2.29 3.01 1.31
High 88.95 -1.70 3.60 1.00
VIF 1.00 1.00
Final Equation in Terms of Coded Factors: Disolusi +88.66 -1.99 +3.31 +1.02
= *A *B *A*B
Final Equation in Terms of Actual Factors: Disolusi +94.20852 -0.18434 +0.086379 +0.016930
= * Avicel * SSG * Avicel * SSG
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.
94
95
If all the model statistics and diagnostic plots are OK, finish up with the Model Graphs icon.
95
96 LAMPIRAN P UJI F KURVA BAKU PENETAPAN KADAR Uji Kesamaan Regresi (Aquadest) REPLIKASI 1 KONSENTRASI 32.192 48.288 64.384 80.48 96.576
ABSORBANSI 1.141 1.303 1.432 1.603 1.711
X2 1036.3249 2331.7309 4145.2995 6477.0304 9326.9238 23317.3094
Y2 1.3019 1.6978 2.0506 2.5696 2.9275 10.5474
XY 36.7311 62.9193 92.1979 129.0094 165.2415 486.0992
REPLIKASI 2 KONSENTRASI 32.064 48.096 64.128 80.16 96.192
ABSORBANSI 0.957 1.103 1.232 1.423 1.551
X2 1028.1001 2313.2252 4112.4004 6425.6256 9252.9009 23132.2522
Y2 0.9158 1.2166 1.5178 2.0249 2.4056 8.0808
XY 30.6852 53.0499 79.0057 114.0677 149.1938 426.0023
REPLIKASI 3 KONSENTRASI 32.128 48.192 64.256 80.32 96.384
ABSORBANSI 1.141 1.353 1.531 1.723 1.871
X2 1032.2084 2322.4689 4128.8335 6451.3024 9289.8755 23224.6886
Y2 1.3019 1.8306 2.3440 2.9687 3.5006 11.9458
XY 36.6580 65.2038 98.3759 138.3914 180.3345 518.9636
96
97 S X2 SXY Regresi I 23317.3094 486.0992 Regresi II 23132.2522 426.0023 Regresi III 23224.6886 518.9636 69674.2502 1431.0651 SSc = 30.55353763 F = 0.008075857 < F tabel (3,89)
97
S Y2 10.5474 8.0808 11.9458 30.5741
N 5 5 5
SSi 10.5266 8.0624 11.9235 30.5125
RDF 4 4 4
98 LAMPIRAN Q UJI F KURVA BAKU DISOLUSI Uji Kesamaan Regresi (Dapar fosfat pH 6,8) REPLIKASI 1 KONSENTRASI 32.192 48.288 64.384 80.48 96.576
ABSORBANSI 1.141 1.303 1.432 1.603 1.711
X2 1036.3249 2331.7309 4145.2995 6477.0304 9326.9238
Y2 1.3019 1.6978 2.0506 2.5696 2.9275
XY 36.7311 62.9193 92.1979 129.0094 165.2415
REPLIKASI 2 KONSENTRASI 32.064 48.096 64.128 80.16 96.192
ABSORBANSI 0.957 1.103 1.232 1.423 1.551
X2 1028.1001 2313.2252 4112.4004 6425.6256 9252.9009
Y2 0.9158 1.2166 1.5178 2.0249 2.4056
XY 30.6852 53.0499 79.0057 114.0677 149.1938
REPLIKASI 3 KONSENTRASI 32.128 48.192 64.256 80.32 96.384
ABSORBANSI 1.141 1.353 1.531 1.723 1.871
X2 1032.2084 2322.4689 4128.8335 6451.3024 9289.8755
Y2 1.3019 1.8306 2.3440 2.9687 3.5006
XY 36.6580 65.2038 98.3759 138.3914 180.3345
98
99 6 X2 Regresi I Regresi II Regresi III
SSc= F=
6XY
69674.2502
1431.0651 30.55353763 0.008075857
99
6 Y2
N
SSi
RDF
5 5 5
10.5266 8.0624 11.9235
4 4 4
30.5741
30.5125
< Ftabel 3,89
