BAB V KESIMPULAN DAN SARAN
5.1. Kesimpulan
Dari beberapa formula sediaan pelepasan terkontrol yang diuji, maka dapat diketahui dan disimpulkan bahwa :
1. Nata ternyata dapat digunakan sebagai hal ini terbukti dengan adanya
kemampuan dari membran nata untuk memperpanjang waktu transit obat oleh karena adanya sifat membran nata yang mampu mengambang di atas
cairan sehingga dapat meminimalkan efek samping dari teofilin yang tidak
diinginkan 2.
Pelepasan teofilin setelah 8 jam disolusi pada medium lambung pH 1,2 F1, F2, F3, F4, F5 dan F6 berturut-turut 7,8835; 31,6437 ;
38,4344; 5,9957; 18,8732 dan 34,6529 , pelepasan teofilin setelah 8 jam disolusi pada medium usus pH 6 F1, F2, F3, F4, F5 dan
F6 berturut-turut 7,8835; 81,0439; 92,4917; 5,9957; 34,7360 dan 59,7432. Kecepatan pelepasan teofilin lebih besar pada pH 6 dari
pada pH 1,2. 5.2.
Saran
Untuk menyempurnakan penelitian ini disarankan kepada peneliti selanjutnya untuk melakukan uji in vivo terhadap sediaan untuk menentukan
apakah ada korelasi positif dengan uji in vitro.
Audrey Marselina Zebua : Pemanfaatan Nata Pati Kacang Merah Vignea sinensis Hasil Isolasi Sebagai Matriks Teofilin, 2009
USU Repository © 2008
DAFTAR PUSTAKA
Aditama, T.Y., 1995. Pengobatan Asma dengan Teofilin Lepas Lambat Dosis Sekali. Cermin Dunia Kedokteran. Halaman 101, 21 – 24
Aiache , J.M., 1993. Farmasektika 2 Biofarmasi. Terjemahan : Dr. Widji
Soeratri Edisi kedua. Surabaya : Penerbit Airlangga University Press. Halaman 331-367
Anonim. 2006. Proses Pembuatan Nata De Coco.
http:www.atmajaya.ac.id.htm.
Ansel, H.C., 1989. Pengantar Bentuk Sediaan Farmasi. Terjemahan : Farida
Ibrahim. Edisi 4. Jakarta : Penerbit Universitas Indonesia. Halaman 288- 290
Arora S, Ali J, Ahuja A, Khar RK, Baboota S. Floating Drug Delivery System
A review. AAPS Pharm Scitech, 2005 : 06 03: E372-E390.DOI: 10.1208Pt 060347
Clarke, E.G.C., 1986. Isolation and Identification of Drugs. 2
nd
ed., London : The Pharmaceutical Press. Halaman : 584
Departemen Kesehatan Republik Indonesia., 1979. Famakope Indonesia Edisi III. Jakarta. Halaman 213
Departemen Kesehatan Republik Indonesia., 1994. Farmakope Indonesia Edisi IV. Jakarta. Halaman 350
Elvy, O., 1993. Formulasi Sediaan System Pelepasan Terkontrol : Pengaruh
Sifat Keterbasahan Matriks terhadap Kecepatan Pelarutan Obat Bentuk Pelet. Skripsi mahasiswa S-1 jurusan Farmasi. Halaman 5-12
Lachman, L., Lieberman, H.A., dan Kanig, J.L., 1994. Teori dan Praktek Farmasi Industri. Terjemahan : Siti Suyatni. Edisi ketiga. Jakarta : UI-
Press. Halaman 52 Longer, M.A., 1990. Sustained-Release Drug Delivery Systems. In :
Remington’s Pharmaceutichal Science. Gennaro, A.R., Editor. 18
th
edition. Pensylvania : Mack Publishing Company. Halaman 459, 589- 593
Audrey Marselina Zebua : Pemanfaatan Nata Pati Kacang Merah Vignea sinensis Hasil Isolasi Sebagai Matriks Teofilin, 2009
USU Repository © 2008
Martin, A., Swarbrick, J., and Cammarata, A., 1983. Dasar-dasar Kimia Fisika dalam Ilmu Farmasetika. Dalam : Farmasi Fisik. Terjemahan :
Yoshita. Edisi ketiga, Jakarta : UI-Press. Halaman 1222-1319
Shargel dan Andrew, B.C Yu., 1988. Biofarmasetika dan Farmakokinetika Terapan. Terjemahan : Dr. Fasich., Apt. Edisi kedua. Surabaya :
Penerbit Airlangga University Press. Halaman 16, 19-112
Sunaryo., 1995. Farmakologi dan Terapi. Edisi IV. Editor : Sulistia Gan, rianto
Setiabudi, Udin Syamsudin dan Sunilda S. Bustami. Jakarta. Halaman 202-207
USP XXII and NF XVII., 1990. The United States Pharmacopedia XII and The national Formulary XVII. Twinbrook Parkway, Rockville : The
United States Pharmacopeial Convention, Inc. Halaman 1578-1579
Voigt, R., 1994. Buku Pelajaran Teknologi Farmasi. Terjemahan : Dr.
Soendari, N. Yogyakarta : Gajah Mada University Press. Halaman 359
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Lampiran 1a. Data pengukuran kurva serapan Teofilin dalam berbagai panjang gelombang pada medium pH 1,2.
Panjang gelombang nm
Serapan A 220 0.305
230 0.215 240 0.137
250 0.185 260 0.343
270 0.465 271 0.471
272 0.469 273 0.466
274 0.460 275 0.451
276 0.439 277 0.424
278 0.406 279 0.386
280 0.364 290 0.102
300 0.016
Keterangan : = Panjang gelombang maksimum 271 nm
0,05 0,1
0,15 0,2
0,25 0,3
0,35 0,4
0,45 0,5
220 240
260 280
300
Panjang gelombang nm A
b so
rb an
si A
Audrey Marselina Zebua : Pemanfaatan Nata Pati Kacang Merah Vignea sinensis Hasil Isolasi Sebagai Matriks Teofilin, 2009
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Lampiran 1b. Data Pengukuran kurva kalibrasi Larutan Teofilin dengan berbagai konsentrasi pada panjang gelombang 271 nm dalam
medium pH 1,2
Konsentrasi mcgml
Absorbansi nm 0 0
2 0,1181 4 0,2245
6 0,3352 8 0,4359
10 0,5492 12 0,6602
y = 0,0545x + 0,0046 R
2
= 0,9998
0,1 0,2
0,3 0,4
0,5 0,6
0,7
2 4
6 8
10 12
14
Konsentrasi mcgml A
b so
rb an
si
Kurva kalibrasi teofilin dalam medium Lambung pH 1,2
Audrey Marselina Zebua : Pemanfaatan Nata Pati Kacang Merah Vignea sinensis Hasil Isolasi Sebagai Matriks Teofilin, 2009
USU Repository © 2008
Lampiran 2a. Data pengukuran kurva serapan Teofilin dalam berbagai panjang gelombang pada medium pH 6.
Panjang gelombang nm
Serapan A 220 0.305
230 0.215 240 0.137
250 0.185 260 0.343
270 0.465 271 0.471
272 0.469 273 0.466
274 0.460 275 0.451
276 0.439 277 0.424
278 0.406 279 0.386
280 0.364 290 0.102
300 0.016
0,05 0,1
0,15 0,2
0,25 0,3
0,35 0,4
0,45 0,5
220 240
260 280
300
Panjang gelombang nm A
b so
rb an
si A
Audrey Marselina Zebua : Pemanfaatan Nata Pati Kacang Merah Vignea sinensis Hasil Isolasi Sebagai Matriks Teofilin, 2009
USU Repository © 2008
Lampiran 2b. Data Pengukuran kurva kalibrasi Larutan Teofilin dengan berbagai konsentrasi pada panjang gelombang 271 nm dalam
medium pH 6
Konsentrasi mcgml Absorbansi
nm 0 0
2 0,1181 4 0,2245
6 0,3352 8 0,4359
10 0,5492 12 0,6602
y = 0,0722x - 0,0039 R
2
= 0,9997
0,1 0,2
0,3 0,4
0,5 0,6
0,7
2 4
6 8
Konsentrasi mcgml A
b so
rb an
si resap
an
10
Kurva kalibrasi teofilin dalam medium usus pH 6
Audrey Marselina Zebua : Pemanfaatan Nata Pati Kacang Merah Vignea sinensis Hasil Isolasi Sebagai Matriks Teofilin, 2009
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Audrey Marselina Zebua : Pemanfaatan Nata Pati Kacang Merah Vignea sinensis Hasil Isolasi Sebagai Matriks Teofilin, 2009
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Audrey Marselina Zebua : Pemanfaatan Nata Pati Kacang Merah Vignea sinensis Hasil Isolasi Sebagai Matriks Teofilin, 2009
USU Repository © 2008
Lampiran 3. Kumulatif teofilin berbagai formula dalam medium lambung buatan dan medium usus buatan.
KUMULATIF TEOFIIN FORMULA 1 DALAM MEDIUM LAMBUNG pH 1,2 No
tmenit Uji 1
Uji 2 Uji 3
Uji 4 Uji 5
Uji 6 Rata-rata
1 5 0,0033 0,0035
0,0035 0,0037
0,0035 0,0035
0,0035±0,0001 2 15 0,8116
0,8108 0,8079
0,8099 0,8066
0,8091 0,8093±0,0019
3 30 2,1261 2,1237
1,7872 1,7890
1,7842 1,7898
1,9000±0,1742 4 45 2,2460
2,2442 2,2365
2,2375 2,2327
2,2397 2,2394±0,0050
5 60 2,5851 2,5825
2,5735 2,5747
2,5692 2,5772
2,5770±0,0059 6 90 3,1577
3,1545 3,1442
3,1456 3,1390
3,1488 3,1483±0,0069
7 120 3,3689 3,3653
3,3534 3,3551
3,3478 3,3583
3,3581±0,0078 8 150 3,8522
3,8483 3,8349
3,8368 3,8285
3,8405 3,8402±0,0088
9 180 4,2321 4,2277
4,2127 4,2149
4,2057 4,2189
4,2187±0,0098 10 210 4,6952
4,6903 4,6740
4,6764 4,6662
4,6808 4,6805±0,0107
11 240 5,1193 5,1146
5,0968 5,0994
5,0883 5,1042
5,1038±0,0115 12 270 5,3732
5,3676 5,3471
5,3499 5,3383
5,3549 5,3552±0,0131
13 300 5,6261 5,6204
5,6006 5,6033
5,5913 5,6087
5,6084±0,0130 14 330 5,8811
5,8748 5,8543
5,8578 5,8446
5,8629 5,8626±0,0135
15 360 6,1338 6,1273
6,1055 6,1086
6,0954 6,1144
6,1142±0,0143 16 390 6,8933
6,8860 6,8620
6,8654 6,8506
6,8720 6,8716±0,0158
17 420 7,1234 7,1157
7,0923 7,0959
7,0805 7,1027
7,1018±0,0157 18 450 7,5270
7,5195 7,4935
7,4972 7,4810
7,5044 7,5038±0,0171
19 480 7,9079 7,9004
7,8727 7,8762
7,8596 7,8842
7,8835±0,0180
KUMULATIF FORMULA 2 MEDIUM LAMBUNG pH 1,2 No
tmenit Uji 1
Uji 2 Uji 3
Uji 4 Uji 5
Uji 6 Rata-rata
1 5
0,1554 0,1542 0,1549 0,1562
0,0001 0,1559 0,1570±0,0634 2
15 0,6466
0,6565 0,6503 0,6641 0,0003 0,6770 0,6652±0,2691
3 30
1,2725 1,2775 1,2598 1,2849
0,0007 1,2903 1,2849±0,5212 4
45 1,8881
1,8985 1,8653 1,9058 0,0010 1,9037 1,9005±0,7723
5 60
2,5450 2,5613 2,5257 2,5719
0,0013 2,5663 2,5636±1,0423 6
90 3,2849
3,3032 3,2453 3,2956 0,0017 3,2986 3,2949±1,3408
7 120
4,4186 4,4515 4,3584 4,4181
0,0022 4,4044 4,4229±1,7998 8
150 5,5688
5,6081 5,4857 5,5632 0,0028 5,5490 5,5714±2,2670
9 180
6,9367 6,9731 6,8006 6,8790
0,0035 6,8414 6,8997±2,8510 10
210 8,2590
8,2840 8,0808 8,1516 0,0041 8,0846 8,1846±3,3356
11 240
9,5999 9,6282 9,4201 9,5250
0,0048 9,4385 9,5398±3,8864 12
270 11,1998
11,2266 10,9816 11,1018 0,0056 11,0817 11,1429±4,5376 13
300 13,1314
13,0710 12,7918 12,9151 0,0065 12,8889 12,9835±5,2895 14
330 15,5500
15,4447 15,1259 15,2835 0,0077 15,2234 15,3529±6,2553 15
360 18,1614
18,0684 17,6802 17,8493 0,0091 17,7959 17,9434±7,3106 16
390 21,2515
21,1653 20,7115 20,9311 0,0106 20,9140 21,0442±8,5689 17
420 24,5945
24,5247 23,9671 24,1938 0,0123 24,2045 24,3556±9,9169 18
450 28,1592
28,0905 27,4468 27,7032 0,0140 27,7370 27,8902±11,3578 19
480 31,9374
31,8917 31,1937 31,4634 0,0160 31,4069 31,6437±12,8886
Audrey Marselina Zebua : Pemanfaatan Nata Pati Kacang Merah Vignea sinensis Hasil Isolasi Sebagai Matriks Teofilin, 2009
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KUMULATIF FORMULA 3 MEDIUM LAMBUNG pH 1,2 No
tmenit Uji 1
Uji 2 Uji 3
Uji 4 Uji 5
Uji 6 Rata-rata
1 5 0,2948
0,2994 0,2966
0,2910 0,2952
0,2879 0,2931±0,0041
2 15 0,6528
0,6651 0,6618
0,6492 0,6653
0,6528 0,6564±0,0071
3 30 1,0194
1,0331 1,0293
1,0098 1,0301
1,0146 1,0204±0,0095
4 45 1,8945
1,9172 1,9153
1,8820 1,9149
1,8867 1,8990±0,0159
5 60 2,9046
2,9223 2,9329
2,8834 2,9295
2,8838 2,9086±0,0223
6 90 4,0212
4,0481 4,0572
3,9894 4,0485
3,9868 4,0239±0,0312
7 120 5,4758
5,5124 5,5217
5,4246 5,5012
5,4188 5,4740±0,0446
8 150 6,9381
6,9908 6,9987
6,8713 6,9617
6,8584 6,9349±0,0597
9 180 8,7338
8,8052 8,8151
8,6541 8,7723
8,6431 8,7351±0,0744
10 210 10,6197
10,7138 10,7180
10,5231 10,6632
10,5085 10,6217±0,0916
11 240 12,6168
12,7340 12,7369
12,5037 12,6631
12,4821 12,6186±0,1105
12 270 15,3416
15,4808 15,4814
15,1962 15,3871
15,1671 15,3375±0,1361
13 300 18,0725
18,2425 18,2414
17,9016 18,1242
17,8627 18,0687±0,1633
14 330 20,9231
21,1219 21,1121
20,7178 20,9818
20,6765 20,9241±0,1906
15 360 23,8145
24,0441 24,0287
23,5798 23,8742
23,5298 23,8134±0,2183
16 390 26,7808
27,0444 27,0192
26,5175 26,8447
26,4609 26,7791±0,2458
17 420 29,9262
30,2224 30,1927
29,6301 29,9945
29,5656 29,9222±0,2761
18 450 33,1464
33,4721 33,4347
32,8060 33,2099
32,7327 33,1332±0,3096
19 480 38,4539
38,8309 38,7844
38,0519 38,5172
37,9763 38,4344±0,3586
KUMULATIF TEOFIIN FORMULA 4 DALAM MEDIUM LAMBUNG pH 1,2 No
tmenit Uji 1
Uji 2 Uji 3
Uji 4 Uji 5
Uji 6 Rata-rata
1 5 0 0 0 0 0 0
2 15 0 0 0 0 0 0
3 30
0,1282 0,1300 0,1292 0,1300 0,1287 0,1289 0,1292±0,0007 4
45 1,7678 1,7681 1,7681 1,7683 1,7681 1,7681 1,7681±0,0002
5 60
2,1973 2,1971 2,1991 2,1967 2,1973 2,1991 2,1978±0,0011 6
90 2,7457 2,7463 2,7459 2,7459 2,7455 2,7457 2,7458±0,0003
7 120
3,1187 3,1183 3,1190 3,1192 3,1190 3,1189 3,1189±0,0003 8
150 3,7062 3,7064 3,7066 3,7026 3,7071 3,7069 3,7060±0,0017
9 180
3,8632 3,8633 3,8633 3,8632 3,8641 3,8641 3,8635±0,0004 10
210 4,1710 4,1713 4,1713 4,1710 4,1713 4,1717 4,1713±0,0003
11 240
4,4465 4,4467 4,4483 4,4469 4,4474 4,4476 4,4472±0,0007 12
270 4,7828 4,7830 4,7830 4,7828 4,7830 4,7830 4,7829±0,0001
13 300
4,9342 4,9343 4,9343 4,9360 4,9343 4,9343 4,9346±0,0007 14
330 5,1343 5,1347 5,1347 5,1343 5,1345 5,1345 5,1345±0,00022
15 360
5,4851 5,4853 5,4855 5,4851 5,4853 5,4853 5,4853±0,0002 16
390 5,7465 5,7467 5,7467 5,7465 5,7469 5,7469 5,7467±0,0002
17 420
5,9708 5,9710 5,9710 5,9710 5,9717 5,9708 5,9711±0,0003 18
450 5,9893 5,9895 5,9897 5,9895 5,9890 5,9900 5,9895±0,0003
19 480
5,9985 5,9990 5,9987 5,9987 5,9990 5,9805 5,9957±0,0075
Audrey Marselina Zebua : Pemanfaatan Nata Pati Kacang Merah Vignea sinensis Hasil Isolasi Sebagai Matriks Teofilin, 2009
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KUMULATIF FORMULA 5 MEDIUM LAMBUNG pH 1,2 No tmenit Uji 1
Uji 2 Uji 3
Uji 4 Uji 5
Uji 6
Rata-rata
1 5
0,441743 0,439679 0,439679 0,443807 0,443807 0,425229
0,4067±0,0070
2 15 0,776147 0,774083 0,76789 0,788532 0,780275 0,749312
0,7411±0,0134
3 30 0,930963 0,937156 0,91445 0,943349 0,933028 0,904128
0,8979±0,0149
4 45 1,044495 1,030046 1,023853 1,056881 1,054817 1,027982
1,0156±0,0143
5 60 1,083716 1,07133 1,056881 1,089908 1,087844 1,075459
1,0631±0,0124
6 90 0,966055 0,976376 0,970183 0,955734 0,945413 0,945413
0,9413±0,0131
7 120 0,687385 0,790596 0,757569 0,71422 0,606881 0,598624
0,5945±0,0781
8 150 0,363303 0,462385 0,441743 0,398394 0,282798 0,266284
0,2560±0,0811
9 180 0,280734 0,173394 0,206422 0,243578 0,363303 0,365367
0,4087±0,0800
10 210 1,102294 1,013532 1,056881 1,069266 1,172477 1,172477
1,2138±0,0644
11 240 2,23555 2,043578 2,338761 2,299541 2,334633 2,252064
2,2356±0,1098
12 270 3,569037 3,377064 3,666055 3,628899 3,668119 3,593807
3,5773±0,1086
13 300 5,030505 4,855046 5,148165 5,094495 5,119266 5,040826
5,0222±0,1047
14 330 6,867661 6,723165 6,983257 6,919266 6,954358 6,865596
6,8635±0,0922
15 360 9,004128 8,845183 9,113532 9,049541 9,107339 9,010321
9,0021±0,0981
16 390 11,19427 11,06422 11,31812 11,22523 11,28303 11,18807
11,1963±0,0886
17 420 13,62385 13,53922 13,81583 13,69197 13,68578 13,56812
13,5557±0,1001
18 450 16,21858 16,16284 16,42294 16,37959 16,24748 16,1195
16,1174±0,1199
19 480 19,00528 18,96399 19,22615 19,16835 19,03624 18,90619
18,8732±0,1227
KUMULATIF TEOFILIN FORMULA 6 MEDIUM LAMBUNG pH 1,2 No
tmenit Uji 1
Uji 2 Uji 3
Uji 4 Uji 5
Uji 6 Rata-rata
1 5
0,33263 0,33971 0,32556 0,32556 0,32084 0,33971 0,33971±0,007954 2
15 0,53788 0,54731 0,52136 0,52136 0,52844 0,55911 0,55911±0,015173
3 30
0,46474 0,50013 0,45767 0,45767 0,46239 0,48598 0,48598±0,017554 4
45 0,28073 0,30197 0,26658 0,26658 0,28781 0,3114
0,3114±0,01836 5
60 0,10616 0,082569 0,169856 0,169856 0,153342 0,042464 0,042464±0,052315
6 90
0,5827 0,537877 0,639318 0,639318 0,658191 0,533159 0,533159±0,054936 7
120 1,236173 1,203145 1,318742 1,318742 1,311664 1,153604 1,153604±0,070196
8 150
2,288336 2,271822 2,370904 2,370904 2,35675 2,198689 2,198689±0,069167 9
180 3,533945 3,482045 3,595282 3,595282 3,583486 3,484404 3,484404±0,053464
10 210
4,932896 4,857405 4,989515 4,989515 5,013106 4,895151 4,895151±0,061476 11
240 6,730537 6,657405 6,789515 6,789515 6,810747 6,692792 6,692792±0,061471
12 270
8,856094 8,863172 8,957536 8,957536 8,924509 8,782962 8,782962±0,068759 13 300 11,54312
11,59974 11,6941
11,6941 11,62097
11,4464 11,4464±0,094847
14 330
14,65478 14,74443 14,80577 14,80577 14,70668 14,53447 14,53447±0,103332 15 360 17,9363
18,01887 18,07785
18,07785 18,02595 17,96933 17,96933±0,057045 16
390 21,56461 21,68493 21,67549 21,67549 21,6118 21,56933 21,56933±0,055575
17 420
25,85583 25,97379 25,94076 25,94076 25,90301 25,86999 25,86999±0,045712 18 450 29,8097
29,92765 29,87811
29,87811 29,84037 29,81206 29,81206±0,045639 19 480 34,61756
34,71193 34,6789
34,6789 34,66239 34,65295 34,65295±0,03151
Audrey Marselina Zebua : Pemanfaatan Nata Pati Kacang Merah Vignea sinensis Hasil Isolasi Sebagai Matriks Teofilin, 2009
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KUMULATIF TEOFIIN FORMULA 1 DALAM MEDIUM USUS pH 6 No
tmenit Uji 1
Uji 2 Uji 3
Uji 4 Uji 5
Uji 6 Rata-rata
1 5 0,0033 0,0035
0,0035 0,0037
0,0035 0,0035
0,0035±0,0001 2 15 0,8116
0,8108 0,8079
0,8099 0,8066
0,8091 0,8093±0,0019
3 30 2,1261 2,1237
1,7872 1,7890
1,7842 1,7898
1,9000±0,1742 4 45 2,2460
2,2442 2,2365
2,2375 2,2327
2,2397 2,2394±0,0050
5 60 2,5851 2,5825
2,5735 2,5747
2,5692 2,5772
2,5770±0,0059 6 90 3,1577
3,1545 3,1442
3,1456 3,1390
3,1488 3,1483±0,0069
7 120 3,3689 3,3653
3,3534 3,3551
3,3478 3,3583
3,3581±0,0078 8 150 3,8522
3,8483 3,8349
3,8368 3,8285
3,8405 3,8402±0,0088
9 180 4,2321 4,2277
4,2127 4,2149
4,2057 4,2189
4,2187±0,0098 10 210 4,6952
4,6903 4,6740
4,6764 4,6662
4,6808 4,6805±0,0107
11 240 5,1193 5,1146
5,0968 5,0994
5,0883 5,1042
5,1038±0,0115 12 270 5,3732
5,3676 5,3471
5,3499 5,3383
5,3549 5,3552±0,0131
13 300 5,6261 5,6204
5,6006 5,6033
5,5913 5,6087
5,6084±0,0130 14 330 5,8811
5,8748 5,8543
5,8578 5,8446
5,8629 5,8626±0,0135
15 360 6,1338 6,1273
6,1055 6,1086
6,0954 6,1144
6,1142±0,0143 16 390 6,8933
6,8860 6,8620
6,8654 6,8506
6,8720 6,8716±0,0158
17 420 7,1234 7,1157
7,0923 7,0959
7,0805 7,1027
7,1018±0,0157 18 450 7,5270
7,5195 7,4935
7,4972 7,4810
7,5044 7,5038±0,0171
19 480 7,9079 7,9004
7,8727 7,8762
7,8596 7,8842
7,8835±0,0180
KUMULATIF TEOFILIN FORMULA 2 MEDIUM USUS pH 6 No
tmenit Uji 1
Uji 2 Uji 3
Uji 4 Uji 5
Uji 6 Rata-rata
1 5
0,1850 0,1885 0,1774 0,1797 0,1831 0,1763 0,1809±0,0047 2 15
0,3783 0,3801 0,3657 0,3686 0,3805 0,3636 0,3721±0,0077 3 30
0,7783 0,7790 0,7483 0,7636 0,7786 0,7526 0,7676±0,0139 4 45
2,6884 2,7034 2,5937 2,6513 2,6792 2,6276 2,6575±0,0413 5 60
4,9169 4,9466 4,7400 4,8524 4,8967 4,8085 4,8592±0,0764 6 90
7,2508 7,2959 6,9870 7,1587 7,2190 7,0988 7,1661±0,1127 7
120 12,3434 12,4237 11,8934 12,1887 12,2936 12,0875 12,2011±0,1929
8 150
17,5859 17,7119 16,9473 17,3688 17,5091 17,2242 17,3863±0,2757 9
180 22,8408 23,0052 22,0142 22,5663 22,7442 22,3812 22,5858±0,3563
10 210 28,1970 28,4027 27,1777 27,8485 28,0749 27,6272 27,8804±0,4403
11 240 33,6317 33,8846 32,4199 33,2196 33,4868 32,9513 33,2567±0,5258
12 270 39,2794 39,5737 37,8644 38,7968 39,1055 38,4780 38,8396±0,6141
13 300 44,9487 45,2857 43,3259 44,3863 44,7468 44,0239 44,4418±0,7049
14 330 50,7556 51,1362 48,9219 50,1198 50,5208 49,7156 50,1820±0,7953
15 360 56,6751 57,1002 54,6264 55,9696 56,4110 55,5259 56,0367±0,8867
16 390 62,7062 63,1714 60,4446 62,0318 62,4071 61,4314 61,9988±0,9771
17 420 68,7373 69,2427 66,2628 67,9929 68,4125 67,3369 67,9608±1,0692
18 450 74,8470 75,4056 72,1607 74,0432 74,4919 73,3265 74,0056±1,1629
19 480 81,9635 82,5870 79,0241 81,0722 81,5731 80,2976 81,0439±1,2754
Audrey Marselina Zebua : Pemanfaatan Nata Pati Kacang Merah Vignea sinensis Hasil Isolasi Sebagai Matriks Teofilin, 2009
USU Repository © 2008
KUMULATIF TEOFILIN FORMULA 3 MEDIUM USUS pH 6 No
tmenit Uji 1
Uji 2 Uji 3
Uji 4 Uji 5
Uji 6 Rata-rata
1 5
0,5178 0,5249 0,5102 0,5140 0,5127 0,5166 0,5155±0,0051 2
15 1,0977 1,0997 1,0877 1,0834 1,1022 1,0888 1,0927±0,0076
3 30
2,1923 2,1932 2,1570 2,1668 2,1860 2,1776 2,1762±0,0146 4
45 3,4326 3,4334 3,3638 3,3918 3,3988 3,4086 3,4017±0,0264
5 60
5,0792 4,8049 4,7051 4,7368 4,5901 4,7604 4,7754±0,1637 6
90 7,0141 6,7388 6,5932 6,6451 6,4937 6,6750 6,6892±0,1775
7 120 9,5537 9,2975 9,0893 9,1690 9,0113 9,1774 9,2143±0,1910
8 150
12,2948 12,0499 11,7718 11,8744 11,7162 11,8962 11,9307±0,2109 9
180 16,3879 16,1675 15,7956 15,9311 15,7629 15,9699 15,9992±0,2376
10 210
20,6578 20,4663 20,0149 20,1600 19,9876 20,2323 20,2498±0,2629 11
240 25,2501 23,7123 24,5427 24,7091 24,5347 24,8163 24,8184±0,5053
12 270
30,2456 28,7453 29,4647 29,6768 29,4809 29,7994 29,7913±0,4939 13
300 35,9542 34,4969 35,0955 35,3524 35,1548 35,5031 35,4804±0,4837
14 330
42,6117 41,2045 41,6551 41,9575 41,7437 42,1410 42,1048±0,4764 15
360 51,2755 49,9334 50,2067 50,5725 50,3497 50,7987 50,7419±0,4738
16 390
60,3175 59,0434 59,0975 59,3875 59,3026 59,8214 59,7370±0,4886 17
420 70,6619 69,4656 69,2898 69,6553 69,5420 70,1371 70,0348±0,5130
18 450
81,3660 80,2501 79,8364 80,2678 80,1376 80,8146 80,6875±0,5512 19
480 93,2174 92,1907 91,5136 92,0345 91,8845 92,6582 92,4917±0,6047
KUMULATIF TEOFIIN FORMULA 4 DALAM MEDIUM USUS pH 6 No
tmenit Uji 1
Uji 2 Uji 3
Uji 4 Uji 5
Uji 6 Rata-rata
1 5 0 0 0 0 0 0
2 15 0 0 0 0 0 0
3 30
0,1282 0,1300 0,1292 0,1300 0,1287 0,1289 0,1292±0,0007 4
45 1,7678 1,7681 1,7681 1,7683 1,7681 1,7681 1,7681±0,0002
5 60
2,1973 2,1971 2,1991 2,1967 2,1973 2,1991 2,1978±0,0011 6
90 2,7457 2,7463 2,7459 2,7459 2,7455 2,7457 2,7458±0,0003
7 120
3,1187 3,1183 3,1190 3,1192 3,1190 3,1189 3,1189±0,0003 8
150 3,7062 3,7064 3,7066 3,7026 3,7071 3,7069 3,7060±0,0017
9 180
3,8632 3,8633 3,8633 3,8632 3,8641 3,8641 3,8635±0,0004 10
210 4,1710 4,1713 4,1713 4,1710 4,1713 4,1717 4,1713±0,0003
11 240
4,4465 4,4467 4,4483 4,4469 4,4474 4,4476 4,4472±0,0007 12
270 4,7828 4,7830 4,7830 4,7828 4,7830 4,7830 4,7829±0,0001
13 300
4,9342 4,9343 4,9343 4,9360 4,9343 4,9343 4,9346±0,0007 14
330 5,1343 5,1347 5,1347 5,1343 5,1345 5,1345
5,1345±0,00022 15
360 5,4851 5,4853 5,4855 5,4851 5,4853 5,4853 5,4853±0,0002
16 390
5,7465 5,7467 5,7467 5,7465 5,7469 5,7469 5,7467±0,0002 17
420 5,9708 5,9710 5,9710 5,9710 5,9717 5,9708 5,9711±0,0003
18 450
5,9893 5,9895 5,9897 5,9895 5,9890 5,9900 5,9895±0,0003 19
480 5,9985 5,9990 5,9987 5,9987 5,9990 5,9805 5,9957±0,0075
Audrey Marselina Zebua : Pemanfaatan Nata Pati Kacang Merah Vignea sinensis Hasil Isolasi Sebagai Matriks Teofilin, 2009
USU Repository © 2008
KUMULATIF TEOFIIN FORMULA 5 DALAM MEDIUM USUS pH 6 No
tmenit Uji 1
Uji 2 Uji 3
Uji 4 Uji 5
Uji 6 Rata-rata
1 5 0,0767 0,0767 0,0773 0,0804 0,0767 0,0760 0,0773±0,0016
2 15 0,1913 0,1938 0,1926 0,1938 0,1932 0,1895 0,1920±0,0017
3 30 0,3540 0,3584 0,3571 0,3584 0,3559 0,3515 0,3553±0,0027
4 45 0,5410 0,5460 0,5422 0,5198 0,5435 0,5373 0,5379±0,0095
5 60 0,7298 0,7336 0,7311 0,7055 0,7323 0,7242 0,7255±0,0106
6 90 1,0533 1,0583 1,0552 1,0321 1,0571 1,0508 1,0496±0,0097
7 120 1,5214 1,5251 1,5195 1,4990 1,5239 1,5164 1,5158±0,0096 8 150 2,3429 2,3454 2,3410 2,3235 2,3485 2,3391 2,3379±0,0087
9 180 3,8911 3,8942 3,8923 3,8724 3,8973 3,8873 3,8867±0,0088 10 210 6,3960 6,2370 6,5749 6,5524 6,5767 6,5686 6,4814±0,1396
11 240 9,2518 9,0929 9,4357 9,4107 9,4325 9,4294 9,3391±0,1411 12 270
12,2466 12,0852 12,4305 12,4018 12,4317 12,4280 12,3339±0,1427 13 300
15,2626 15,1043 15,4508 15,4680 15,4477 15,4515 15,3530±0,1488 14 330
18,3627 18,1515 18,5522 18,5651 18,5497 18,5541 18,4444±0,1679 15 360
21,5208 21,3064 21,7122 21,7263 21,7084 21,7122 21,6025±0,1698 16 390
24,7201 24,5051 24,9089 24,9255 24,9077 24,9089 24,8005±0,1694 17 420
27,8931 27,6769 28,0770 28,0998 28,0795 28,0820 27,9711±0,1693 18 450
31,2706 30,9403 31,3348 31,3620 31,3380 31,3398 31,2501±0,1617 19 480
34,9099 34,3994 34,7915 34,8211 34,7859 34,7952 34,7360±0,1781
KUMULATIF TEOFIIN FORMULA 6 DALAM MEDIUM USUS pH 6 No
tmenit Uji 1
Uji 2 Uji 3
Uji 4 Uji 5
Uji 6 Rata-rata
1 5 0,5578 0,5566 0,5566 0,5566 0,5566 0,5560 0,5566±0,0006
2 15 1,3301 1,3301 1,3282 1,3294 1,3294 1,3282 1,3288±0,0009
3 30 2,3404 2,3404 2,3410 2,3429 2,3429 2,3429 2,3410±0,0013
4 45 3,5071 3,5084 3,5053 3,5071 3,5096 3,5071 3,5065±0,0015
5 60 5,0248 5,0298 5,0229 5,0254 5,0273 5,0248 5,0211±0,0024
6 90 7,6662 7,6712 7,6581 7,6699 7,6743 7,6712 7,6637±0,0057
7 120 10,5831 10,5875 10,5787 10,5875 10,5912 10,5881 10,5812±0,0044
8 150 13,7767 13,7786 13,7724 13,7842 13,7848 13,7798 13,7742±0,0047
9 180 17,1112 17,1093 17,1069 17,1156 17,1212 17,1112 17,1069±0,0051
10 210 20,7367 20,7355 20,7374 20,7424 20,7536 20,7418 20,5629±0,0067
11 240 24,6141 24,6098 24,6135 24,6141 24,6253 24,6197 24,2709±0,0055
12 270 28,5643 28,5600 28,5613 28,5650 28,5756 28,5663 28,2205±0,0055
13 300 32,6206 32,6225 32,6175 32,6213 32,6319 32,6244 32,2780±0,0049
14 330 36,7410 36,7504 36,7386 36,7448 36,7554 36,7454 36,4009±0,0062
15 360 41,0322 41,0435 41,0248 41,0335 41,0466 41,0366 40,6909±0,0079
16 390 45,4655 45,4837 45,4556 45,4668 45,4762 45,4662 45,2989±0,0097
17 420 50,0310 50,0522 50,0242 50,0348 50,0404 50,0017 49,8643±0,0171
18 450 54,6269 54,6432 54,6114 54,6295 54,6314 54,5341 54,6523±0,0398
19 480 59,7109 59,7359 59,7042 59,7241 59,7241 59,6238 59,7432±0,0408
Audrey Marselina Zebua : Pemanfaatan Nata Pati Kacang Merah Vignea sinensis Hasil Isolasi Sebagai Matriks Teofilin, 2009
USU Repository © 2008
Lampiran 4 : Uji SPSSAnova Pada medium pH 1,2 Pada formula 1,2,dan
Tabel 1 ANOVA
Sum of Squares
df Mean Square
F Sig.
Between Groups ,030
2 ,015
189,568 ,000
Within Groups ,001
15 ,000
menit5 Total
,031 17
Between Groups 1,973
2 ,986
4449,749 ,000
Within Groups ,003
15 ,000
menit15 Total
1,976 17
Between Groups 10,210
2 5,105
490,421 ,000
Within Groups ,156
15 ,010
menit30 Total
10,366 17
Between Groups 6,817
2 3,409
6110,715 ,000
Within Groups ,008
15 ,001
menit45 Total
6,826 17
Between Groups 3,159
2 1,579
1893,507 ,000
Within Groups ,013
15 ,001
menit60 Total
3,171 17
Between Groups 1,777
2 ,889
964,388 ,000
Within Groups ,014
15 ,001
menit90 Total
1,791 17
Between Groups 1,382
2 ,691
511,832 ,000
Within Groups ,020
15 ,001
menit120 Total
1,402 17
Between Groups 7,622
2 3,811
1708,064 ,000
Within Groups ,033
15 ,002
menit150 Total
7,655 17
Between Groups 28,412
2 14,206
4592,219 ,000
Within Groups ,046
15 ,003
menit180 Total
28,458 17
Between Groups 62,588
2 31,294
6288,438 ,000
Within Groups ,075
15 ,005
menit210 Total
62,663 17
Between Groups 111,560
2 55,780
1399,790 ,000
Within Groups ,598
15 ,040
menit240 Total
112,158 17
Between Groups 241,053
2 120,526
14705,141 ,000
Within Groups ,123
15 ,008
menit270 Total
241,176 17
Between Groups 413,590
2 206,795
14112,977 ,000
Within Groups ,220
15 ,015
menit300 Total
413,810 17
Between Groups 655,562
2 327,781
9822,060 ,000
Within Groups ,501
15 ,033
menit330 Total
656,062 17
menit360 Between Groups
949,830 2
474,915 6891,565
,000
Audrey Marselina Zebua : Pemanfaatan Nata Pati Kacang Merah Vignea sinensis Hasil Isolasi Sebagai Matriks Teofilin, 2009
USU Repository © 2008
Within Groups 1,034
15 ,069
Total 950,864
17 Between Groups
1291,906 2
645,953 5731,686
,000 Within Groups
1,690 15
,113 menit390
Total 1293,597
17 Between Groups
1664,336 2
832,168 38,527
,000 Within Groups
323,995 15
21,600 menit420
Total 1988,331
17 Between Groups
2455,788 2
1227,894 20264,270
,000 Within Groups
,909 15
,061 menit450
Total 2456,697
17 Between Groups
3579,574 2
1789,787 21845,260
,000 Within Groups
1,229 15
,082 menit480
Total 3580,803
17
Tabel 1.1 menit5
Duncan Subset for alpha = .05
Perlakuan N
1 2
3 Formula I med 1
6 ,008750
Formula 3 med I 6
,031433 Formula 2 med I
6 ,104600
Sig. 1,000
1,000 1,000
Tabel 1.2 menit15
Duncan Subset for alpha = .05
Perlakuan N
1 2
3 Formula 3 med I
6 ,022800
Formula 2 med I 6
,244950 Formula I med 1
6 ,809317
Sig. 1,000
1,000 1,000
Tabel 1.3 menit30
Duncan Subset for alpha = .05
Perlakuan N
1 2
3 Formula 3 med I
6 ,078750
Formula 2 med I 6
,734950 Formula I med 1
6 1,900000
Sig. 1,000
1,000 1,000
Tabel 1.4 menit45
Duncan Subset for alpha = .05
Perlakuan N
1 2
3 Formula 3 med I
6 ,767350
Formula 2 med I 6
1,222283 Formula I med 1
6 2,239433
Sig. 1,000
1,000 1,000
Audrey Marselina Zebua : Pemanfaatan Nata Pati Kacang Merah Vignea sinensis Hasil Isolasi Sebagai Matriks Teofilin, 2009
USU Repository © 2008
Tabel 1.5 menit60
Duncan Subset for alpha = .05
Perlakuan N
1 2
3 Formula 3 med I
6 1,625567
Formula 2 med I 6
1,768600 Formula I med 1
6 2,577033
Sig. 1,000
1,000 1,000
Tabel 1.6 menit90
Duncan Subset for alpha = .05
Perlakuan N
1 2
3 Formula 2 med I
6 2,401683
Formula 3 med I 6
2,612950 Formula I med 1
6 3,148300
Sig. 1,000
1,000 1,000
Tabel 1.7 menit120
Duncan Subset for alpha = .05
Perlakuan N
1 2
3 Formula I med 1
6 3,358133
Formula 2 med I 6
3,541550 Formula 3 med I
6 4,015750
Sig. 1,000
1,000 1,000
Tabel 1.8 menit150
Duncan Subset for alpha = .05
Perlakuan N
1 2
3 Formula I med 1
6 3,840200
Formula 2 med I 6
4,709850 Formula 3 med I
6 5,431867
Sig. 1,000
1,000 1,000
Tabel 1.9 menit180
Duncan
Subset for alpha = .05 Perlakuan
N 1
2 3
Formula I med 1 6
4,218667 Formula 2 med I
6 6,105417
Formula 3 med I 6
7,267533 Sig.
1,000 1,000
1,000 Means for groups in homogeneous subsets are displayed.
a Uses Harmonic Mean Sample Size = 6,000.
Audrey Marselina Zebua : Pemanfaatan Nata Pati Kacang Merah Vignea sinensis Hasil Isolasi Sebagai Matriks Teofilin, 2009
USU Repository © 2008
Tabel 1.10 menit210
Duncan Subset for alpha = .05
Perlakuan N
1 2
3 Formula I med 1
6 4,680483
Formula 2 med I 6
7,446633 Formula 3 med I
6 9,211300
Sig. 1,000
1,000 1,000
Tabel 1.11 menit240
Duncan
Subset for alpha = .05 Perlakuan
N 1
2 3
Formula I med 1 6
5,236217 Formula 2 med I
6 8,877233
Formula 3 med I 6
11,293150 Sig.
1,000 1,000
1,000
Tabel 1.12. menit270
Duncan Subset for alpha = .05
Perlakuan N
1 2
3 Formula I med 1
6 5,355167
Formula 2 med I 6
10,625483 Formula 3 med I
6 14,269733
Sig. 1,000
1,000 1,000
Tabel 1.13. menit300
Duncan Subset for alpha = .05
Perlakuan N
1 2
3 Formula I med 1
6 5,608400
Formula 2 med I 6
12,678867 Formula 3 med I
6 17,261750
Sig. 1,000
1,000 1,000
Tabel 1.14. menit330
Duncan Subset for alpha = .05
Perlakuan N
1 2
3 Formula I med 1
6 5,862583
Formula 2 med I 6
15,457200 Formula 3 med I
6 20,398883
Sig. 1,000
1,000 1,000
Tabel 1.15. menit360
Duncan Subset for alpha = .05
Perlakuan N
1 2
3 Formula I med 1
6 6,257267
Formula 2 med I 6
18,419517 Formula 3 med I
6 23,586383
Sig. 1,000
1,000 1,000
Audrey Marselina Zebua : Pemanfaatan Nata Pati Kacang Merah Vignea sinensis Hasil Isolasi Sebagai Matriks Teofilin, 2009
USU Repository © 2008
Tabel 1.16. menit390
Duncan Subset for alpha = .05
Perlakuan N
1 2
3 Formula I med 1
6 6,871550
Formula 2 med I 6
22,083550 Formula 3 med I
6 26,701417
Sig. 1,000
1,000 1,000
Tabel 1.17. menit420
Duncan Subset for alpha = .05
Perlakuan N
1 2
3 Formula I med 1
6 7,245600
Formula 2 med I 6
22,681617 Formula 3 med I
6 30,370783
Sig. 1,000
1,000 1,000
Tabel 1.18. menit450
Duncan Subset for alpha = .05
Perlakuan N
1 2
3 Formula I med 1
6 7,503767
Formula 2 med I 6
30,168283 Formula 3 med I
6 33,958417
Sig. 1,000
1,000 1,000
Tabel 1.19 menit480
Duncan Subset for alpha = .05
Perlakuan N
1 2
3 Formula I med 1
6 7,883500
Formula 2 med I 6
34,734633 Formula 3 med I
6 40,128100
Sig. 1,000
1,000 1,000
Lampiran 5 : Uji SPSSAnova Pada medium pH 6 Pada formula 1,2,dan 3
Tabel 2 ANOVA
Sum of Squares
df Mean Square
F Sig.
Between Groups 1,078
2 ,539
7833,654 ,000
Within Groups ,001
15 ,000
menit5 Total
1,079 17
Between Groups ,698
2 ,349
5825,917 ,000
Within Groups ,001
15 ,000
menit15 Total
,699 17
Between Groups 2,077
2 1,038
100,949 ,000
menit30 Within Groups
,154 15
,010
Audrey Marselina Zebua : Pemanfaatan Nata Pati Kacang Merah Vignea sinensis Hasil Isolasi Sebagai Matriks Teofilin, 2009
USU Repository © 2008
Total 2,231
17 Between Groups
6,182 2
3,091 4481,386
,000 Within Groups
,010 15
,001 menit45
Total 6,192
17 Between Groups
33,015 2
16,507 1404,247
,000 Within Groups
,176 15
,012 menit60
Total 33,191
17 Between Groups
84,175 2
42,088 4224,083
,000 Within Groups
,149 15
,010 menit90
Total 84,325
17 Between Groups
311,439 2
155,719 9574,152
,000 Within Groups
,244 15
,016 menit120
Total 311,682
17 Between Groups
675,893 2
337,947 13397,918
,000 Within Groups
,378 15
,025 menit150
Total 676,272
17 Between Groups
1192,258 2
596,129 15627,697
,000 Within Groups
,572 15
,038 menit180
Total 1192,830
17 Between Groups
1857,788 2
928,894 17936,804
,000 Within Groups
,777 15
,052 menit210
Total 1858,565
17 Between Groups
2670,318 2
1335,159 8090,996
,000 Within Groups
2,475 15
,165 menit240
Total 2672,793
17 Between Groups
3775,982 2
1887,991 12366,469
,000 Within Groups
2,290 15
,153 menit270
Total 3778,272
17 Between Groups
5142,304 2
2571,152 7636,105
,000 Within Groups
5,051 15
,337 menit3000
Total 5147,355
17 Between Groups
6575,664 2
3287,832 15110,133
,000 Within Groups
3,264 15
,218 menit330
Total 6578,928
17 Between Groups
8460,146 2
4230,073 14459,634
,000 Within Groups
4,388 15
,293 menit360
Total 8464,534
17 Between Groups
10616,442 2
5308,221 18387,607
,000 Within Groups
4,330 15
,289 menit390
Total 10620,773
17 Between Groups
13338,278 2
6669,139 17814,386
,000 Within Groups
5,616 15
,374 menit420
Total 13343,894
17 Between Groups
16617,944 2
8308,972 24006,959
,000 Within Groups
5,192 15
,346 menit450
Total 16623,135
17 Between Groups
20759,842 2
10379,921 23345,019
,000 Within Groups
6,669 15
,445 menit480
Total 20766,511
17
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Tabel 2.1 menit5
Duncan Subset for alpha = .05
Perlakuan N
1 2
3 Formula 1 med II
6 ,008750
Formula 3 med II 6
,410733 Formula 2 med II
6 ,594700
Sig. 1,000
1,000 1,000
Tabel 2.2. menit15
Duncan Subset for alpha = .05
Perlakuan N
1 2
3 Formula 1 med II
6 ,809317
Formula 3 med II 6
,830800 Formula 2 med II
6 1,237517
Sig. 1,000
1,000 1,000
Tabel 2.3. menit30
Duncan Subset for alpha = .05
Perlakuan N
1 2
3 Formula 3 med II
6 1,448733
Formula 1 med II 6
1,900000 Formula 2 med II
6 2,279733
Sig. 1,000
1,000 1,000
Tabel 2.4 menit45
Duncan Subset for alpha = .05
Perlakuan N
1 2
3 Formula 1 med II
6 2,239433
Formula 2 med II 6
3,432350 Formula 3 med II
6 3,527333
Sig. 1,000
1,000 1,000
Tabel 2.5. menit60
Duncan Subset for alpha = .05
Perlakuan N
1 2
3 Formula 1 med II
6 2,577033
Formula 2 med II 6
4,701683 Formula 3 med II
6 5,845718
Sig. 1,000
1,000 1,000
Tabel 2.6. menit90
Duncan Subset for alpha = .05
Perlakuan N
1 2
3 Formula 1 med II
6 3,148300
Formula 2 med II 6
6,394850 Formula 3 med II
6 8,396317
Sig. 1,000
1,000 1,000
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Tabel 2.7. menit120
Duncan Subset for alpha = .05
Perlakuan N
1 2
3 Formula 1 med II
6 3,358133
Formula 2 med II 6
8,566683 Formula 3 med II
6 13,546133
Sig. 1,000
1,000 1,000
Tabel 2.8 menit150
Duncan Subset for alpha = .05
Perlakuan N
1 2
3 Formula 1 med II
6 3,840200
Formula 2 med II 6
10,891283 Formula 3 med II
6 18,841150
Sig. 1,000
1,000 1,000
Tabel 2.9. menit180
Duncan Subset for alpha = .05
Perlakuan N
1 2
3 Formula 1 med II
6 4,218667
Formula 2 med II 6
14,277550 Formula 3 med II
6 24,153767
Sig. 1,000
1,000 1,000
Tabel 2.10. menit210
Duncan Subset for alpha = .05
Perlakuan N
1 2
3 Formula 1 med II
6 4,680483
Formula 2 med II 6
17,806933 Formula 3 med II
6 29,552700
Sig. 1,000
1,000 1,000
Tabel 2.11. menit240
Duncan Subset for alpha = .05
Perlakuan N
1 2
3 Formula 1 med II
6 5,236217
Formula 2 med II 6
21,409167 Formula 3 med II
6 35,034583
Sig. 1,000
1,000 1,000
Tabel 2.12. menit270
Duncan Subset for alpha = .05
Perlakuan N
1 2
3 Formula 1 med II
6 5,355167
Formula 2 med II 6
25,507367 Formula 3 med II
6 40,717867
Sig. 1,000
1,000 1,000
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Tabel 2.13. menit300
Duncan Subset for alpha = .05
Perlakuan N
1 2
3 Formula 1 med II
6 5,608400
Formula 2 med II 6
30,168317 Formula 3 med II
6 46,753283
Sig. 1,000
1,000 1,000
Tabel 2.14. menit330
Duncan Subset for alpha = .05
Perlakuan N
1 2
3 Formula 1 med II
6 5,862583
Formula 2 med II 6
35,564267 Formula 3 med II
6 52,054667
Sig. 1,000
1,000 1,000
Tabel 2.15. menit360
Duncan Subset for alpha = .05
Perlakuan N
1 2
3 Formula 1 med II
6 6,257267
Formula 2 med II 6
42,540517 Formula 3 med II
6 57,979850
Sig. 1,000
1,000 1,000
Tabel 2.16. menit390
Duncan Subset for alpha = .05
Perlakuan N
1 2
3 Formula 1 med II
6 6,871550
Formula 2 med II 6
49,775480 Formula 3 med II
6 64,010350
Sig. 1,000
1,000 1,000
Tabel 2.17. menit420
Duncan Subset for alpha = .05
Perlakuan N
1 2
3 Formula 1 med II
6 7,245600
Formula 2 med II 6
58,060383 Formula 3 med II
6 70,042333
Sig. 1,000
1,000 1,000
Tabel 2.18. menit450
Duncan Subset for alpha = .05
Perlakuan N
1 2
3 Formula 1 med II
6 7,503767
Formula 2 med II 6
66,621083 Formula 3 med II
6 76,220350
Sig. 1,000
1,000 1,000
.
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Tabel 2.19 menit45
Duncan Subset for alpha = .05
Perlakuan N
1 2
3 Formula 1 med II
6 7,883500
Formula 2 med II 6
76,086083 Formula 3 med II
6 83,231200
Sig. 1,000
1,000 1,000
Lampiran 6 : Uji SPSS Anova Pada Medium pH 1,2 Pada formula 4,5,6
Tabel 3 ANOVA
Sum of Squares
df Mean Square
F Sig.
Between Groups ,047
2 ,023
437,450 ,000
Within Groups ,001
15 ,000
menit5 Total
,048 17
Between Groups 8,737
2 4,368
31845,661 ,000
Within Groups ,002
15 ,000
menit15 Total
8,739 17
Between Groups 23,915
2 11,957
58,623 ,000
Within Groups 3,060
15 ,204
menit30 Total
26,975 17
Between Groups 878647,10
1 2
439323,550 1,004
,390 Within Groups
6564698,7 28
15 437646,582
menit45
Total 7443345,8
29 17
Between Groups 38,125
2 19,062
403,050 ,000
Within Groups ,709
15 ,047
menit60 Total
38,834 17
Between Groups 51,609
2 25,805
22594,398 ,000
Within Groups ,017
15 ,001
menit90 Total
51,626 17
Between Groups 49,247
2 24,624
6661,727 ,000
Within Groups ,055
15 ,004
menit120 Total
49,303 17
Between Groups 52,984
2 26,492
2647,427 ,000
Within Groups ,150
15 ,010
menit150 Total
53,134 17
Between Groups 53,489
2 26,744
8581,002 ,000
Within Groups ,047
15 ,003
menit180 Total
53,536 17
Between Groups 55,433
2 27,716
10332,598 ,000
Within Groups ,040
15 ,003
menit210 Total
55,473 17
Between Groups 62,779
2 31,389
809,612 ,000
Within Groups ,582
15 ,039
menit240 Total
63,360 17
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Between Groups 89,012
2 44,506
6188,658 ,000
Within Groups ,108
15 ,007
menit270 Total
89,120 17
Between Groups 158,269
2 79,135
11786,445 ,000
Within Groups ,101
15 ,007
menit300 Total
158,370 17
Between Groups 248,662
2 124,331
245,113 ,000
Within Groups 7,609
15 ,507
menit330 Total
256,271 17
Between Groups 453,757
2 226,878
5255,461 ,000
Within Groups ,648
15 ,043
menit360 Total
454,404 17
Between Groups 690,395
2 345,198
92631,355 ,000
Within Groups ,056
15 ,004
menit390 Total
690,451 17
Between Groups 1080,051
2 540,026
12065,851 ,000
Within Groups ,671
15 ,045
menit420 Total
1080,722 17
Between Groups 1524,000
2 762,000
140617,05 4
,000 Within Groups
,081 15
,005 menit450
Total 1524,082
17 Between Groups
2171,873 2
1085,937 199023,24
,000 Within Groups
,082 15
,005 menit480
Total 2171,955
17
Tabel 3.1. menit5
Duncan Subset for alpha = .05
Perlakuan N
1 2
Formula 4 med I 6
,438993 Formula 5 med I
6 ,438983
Formula 6 med I 6
,330667 Sig.
,998 1,000
Tabel 3.2. menit15
Duncan Subset for alpha = .05
Perlakuan N
1 2
3 Formula 5 med I
6 ,772700
Formula 6 med I 6
,535917 Formula 4 med I
6 ,809317
Sig. 1,000
1,000 1,000
Tabel 3.3. menit30
Duncan Subset for alpha = .05
Perlakuan N
1 2
Formula 5 med I 6
,612733 Formula 6 med I
6 ,471433
Formula 4 med I 6
1,900000 Sig.
,596 1,000
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Tabel 3.4. menit45
Duncan Subset for
alpha = .05
Perlakuan N
1 Formula 6 med I
6 468,07241 Formula 5 med I
6 1,039683
Formula 4 med I 6
2,239433 Sig.
,261
Tabel 3.4. menit60
Duncan Subset for alpha = .05
Perlakuan N
1 2
3 Formula 5 med I
6 ,888556
Formula 6 med I 6
,120733 Formula 4 med I
6 2,577033
Sig. 1,000
1,000 1,000
Tabel 3.5. menit90
Duncan Subset for alpha = .05
Perlakuan N
1 2
3 Formula 5 med I
6 ,959867
Formula 6 med I 6
,599703 Formula 4 med I
6 3,148300
Sig. 1,000
1,000 1,000
Tabel 3.6. menit120
Duncan Subset for alpha = .05
Perlakuan N
1 2
3 Formula 5 med I
6 ,692550
Formula 6 med I 6
1,257000 Formula 4 med I
6 3,358133
Sig. 1,000
1,000 1,000
Tabel 3.7. menit150
Duncan Subset for alpha = .05
Perlakuan N
1 2
3 Formula 5 med I
6 ,314655
Formula 6 med I 6
2,309550 Formula 4 med I
6 3,840200
Sig. 1,000
1,000 1,000
Tabel 3.8. menit180
Duncan Subset for alpha = .05
Perlakuan N
1 2
3 Formula 5 med I
6 ,272133
Formula 6 med I 6
3,545733
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Formula 4 med I 6
4,218667 Sig.
1,000 1,000
1,000
Tabel 3.9. menit210
Duncan Subset for alpha = .05
1 2
Perlakuan N
3 Formula 5 med I
6 1,097833
Formula 4 med I 6
4,680483 Formula 6 med I
6 4,946267
Sig. 1,000
1,000 1,000
Tabel 3.10. menit240
Duncan Subset for alpha = .05
N 1
2 Perlakuan
3 Formula 5 med I
6 2,250700
Formula 4 med I 6
5,236217 Formula 6 med I
6 6,745067
Sig. 1,000
1,000 1,000
Tabel 3.11. menit270
Duncan Subset for alpha = .05
Perlakuan N
1 2
3 Formula 5 med I
6 3,533833
Formula 4 med I 6
5,355167 Formula 6 med I
6 8,890300
Sig. 1,000
1,000 1,000
Tabel 3.12.
menit300
Duncan Subset for alpha = .05
Perlakuan N
1 2
3 Formula 5 med I
6 5,048050
Formula 4 med I 6
5,608400 Formula 6 med I
6 11,599733
Sig. 1,000
1,000 1,000
Tabel 3.13. menit330
Duncan Subset for alpha = .05
Perlakuan N
1 2
3 Formula 4 med I
6 5,862583
Formula 5 med I 6
6,885583 Formula 6 med I
6 14,208667
Sig. 1,000
1,000 1,000
Tabel 3.14. menit360
Duncan Subset for alpha = .05
Perlakuan N
1 2
3 Formula 4 med I
6 6,257267
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Formula 5 med I 6
9,021725 Formula 6 med I
6 18,017717
Sig. 1,000
1,000 1,000
Tabel 3.15. menit390
Duncan Subset for alpha = .05
Perlakuan N
1 2
3 Formula 4 med I
6 6,871550
Formula 5 med I 6
11,212150 Formula 6 med I
6 21,630267
Sig. 1,000
1,000 1,000
Tabel 3.16. menit420
Duncan Subset for alpha = .05
Perlakuan N
1 2
3 Formula 4 med I
6 7,245600
Formula 5 med I 6
13,642133 Formula 6 med I
6 25,914033
Sig. 1,000
1,000 1,000
Tabel 3.17. menit450
Duncan Subset for alpha = .05
Perlakuan N
1 2
3 Formula 4 med I
6 7,503767
Formula 5 med I 6
16,258483 Formula 6 med I
6 29,867683
Sig. 1,000
1,000 1,000
Tabel 3.18. menit480
Duncan Subset for alpha = .05
Perlakuan N
1 2
3 Formula 4 med I
6 7,883500
Formula 5 med I 6
19,051017 Formula 6 med I
6 34,667100
Sig. 1,000
1,000 1,000
Lampiran 7: Uji SPSS Anova Pada Medium pH 6 Pada Formula 4,5,6
Tabel 4 ANOVA
Sum of Squares
df Mean Square
F Sig.
Between Groups 2,982
2 1,491
24051,472 ,000
Within Groups ,001
15 ,000
menit5 Total
2,983 17
Between Groups 5,791
2 2,895
318458,50 6
,000 Within Groups
,000 15
,000 menit15
Total 5,791
17 Between Groups
9,841 2
4,921 485,313
,000 menit30
Within Groups ,152
15 ,010
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Total 9,993
17 Between Groups
27,210 2
13,605 55876,929
,000 Within Groups
,004 15
,000 menit45
Total 27,213
17 Between Groups
204,661 2
102,330 1,151
,343 Within Groups
1333,009 15
88,867 menit60
Total 1537,669
17 Between Groups
149,156 2
74,578 283020,69
6 ,000
Within Groups ,004
15 ,000
menit90 Total
149,160 17
Between Groups 302,634
2 151,317
572269,94 5
,000 Within Groups
,004 15
,000 menit120
Total 302,638
17 Between Groups
506,409 2
253,204 880359,19
8 ,000
Within Groups ,004
15 ,000
menit150 Total
506,413 17
Between Groups 790,608
2 395,304
334274,84 8
,000 Within Groups
,018 15
,001 menit180
Total 790,626
17 Between Groups
1158,990 2
579,495 36106,463
,000 Within Groups
,241 15
,016 menit210
Total 1159,230
17 Between Groups
1634,658 2
817,329 16574,722
,000 Within Groups
,740 15
,049 menit240
Total 1635,398
17 Between Groups
2297,179 2
1148,589 72408,387
,000 Within Groups
,238 15
,016 menit270
Total 2297,417
17 Between Groups
3098,467 2
1549,234 96259,516
,000 Within Groups
,241 15
,016 menit300
Total 3098,709
17 Between Groups
4063,856 2
2031,928 124526,72
7 ,000
Within Groups ,245
15 ,016
menit330 Total
4064,101 17
Between Groups 5171,013
2 2585,507
47007,478 ,000
Within Groups ,825
15 ,055
menit360 Total
5171,838 17
Between Groups 6387,790
2 3193,895
196830,84 8
,000 Within Groups
,243 15
,016 menit390
Total 6388,033
17 Between Groups
7919,074 2
3959,537 69722,521
,000 Within Groups
,852 15
,057 menit420
Total 7919,926
17 Between Groups
9737,147 2
4868,573 63564,065
,000 Within Groups
1,149 15
,077 menit450
Total 9738,296
17
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USU Repository © 2008
Between Groups 11729,907
2 5864,953
35562,433 ,000
Within Groups 2,474
15 ,165
menit480 Total
11732,380 17
Tabel 4.1. menit5
Duncan Subset for alpha = .05
Perlakuan N
1 2
3 Formula 4 med II
6 ,008750
Formula 5 med II 6
,637500 Formula 6 med II
6 ,993200
Sig. 1,000
1,000 1,000
Tabel 4.2. menit15
Duncan Subset for alpha = .05
Perlakuan N
1 2
3 Formula 4 med II
6 ,809317
Formula 5 med II 6
1,382183 Formula 6 med II
6 2,191900
Sig. 1,000
1,000 1,000
Tabel 4.3. menit30
Duncan Subset for alpha = .05
Perlakuan N
1 2
3 Formula 4 med II
6 1,900000
Formula 5 med II 6
2,266033 Formula 6 med II
6 3,619200
Sig. 1,000
1,000 1,000
Tabel 4.4. menit45
Duncan Subset for alpha = .05
Perlakuan N
1 2
3 Formula 4 med II
6 2,239433
Formula 5 med II 6
3,203617 Formula 6 med II
6 5,192400
Sig. 1,000
1,000 1,000
Tabel 4.5. menit60
Duncan Subset for
alpha = .05
Perlakuan N
1 Formula 4 med II
6 2,577033
Formula 6 med II 6
7,101500 Formula 5 med II
6 10,823583
Sig. ,171
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Tabel 4.6. menit90
Duncan Subset for alpha = .05
Perlakuan N
1 2
3 Formula 4 med II
6 3,148300
Formula 5 med II 6
5,501667 Formula 6 med II
6 10,081317
Sig. 1,000
1,000 1,000
Tabel 4.7. menit120
Duncan Subset for alpha = .05
Perlakuan N
1 2
3 Formula 4 med II
6 3,358133
Formula 5 med II 6
7,251583 Formula 6 med II
6 13,322917
Sig. 1,000
1,000 1,000
Tabel 4.8. menit150
Duncan Subset for alpha = .05
Perlakuan N
1 2
3 Formula 4 med II
6 3,840200
Formula 5 med II 6
10,010883 Formula 6 med II
6 16,827267
Sig. 1,000
1,000 1,000
Tabel 4.9. menit180
Duncan Subset for alpha = .05
Perlakuan N
1 2
3 Formula 4 med II
6 4,218667
Formula 5 med II 6
12,787700 Formula 6 med II
6 20,443900
Sig. 1,000
1,000 1,000
Tabel 4.10. menit210
Duncan Subset for alpha = .05
Perlakuan N
1 2
3 Formula 4 med II
6 4,680483
Formula 5 med II 6
15,574300 Formula 6 med II
6 24,295700
Sig. 1,000
1,000 1,000
Tabel 4.11. menit240
Duncan Subset for alpha = .05
Perlakuan N
1 2
3 Formula 4 med II
6 5,236217
Formula 5 med II 6
18,972867 Formula 6 med II
6 28,449050
Sig. 1,000
1,000 1,000
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Tabel 4.12. menit270
Duncan Subset for alpha = .05
Perlakuan N
1 2
3 Formula 4 med II
6 5,355167
Formula 5 med II 6
22,833017 Formula 6 med II
6 32,673333
Sig. 1,000
1,000 1,000
.Tabel 4.13. menit300
Duncan Subset for alpha = .05
Perlakuan N
1 2
3 Formula 4 med II
6 5,608400
Formula 5 med II 6
27,263533 Formula 6 med II
6 37,000700
Sig. 1,000
1,000 1,000
Tabel 4.14. menit330
Duncan Subset for alpha = .05
Perlakuan N
1 2
3 Formula 4 med II
6 5,862583
Formula 5 med II 6
31,951200 Formula 6 med II
6 41,390267
Sig. 1,000
1,000 1,000
Tabel 4.15 menit360
Duncan Subset for alpha = .05
Perlakuan N
1 2
3 Formula 4 med II
6 6,257267
Formula 5 med II 6
36,669883 Formula 6 med II
6 45,939233
Sig. 1,000
1,000 1,000
Tabel 4.16. menit390
Duncan Subset for alpha = .05
Perlakuan N
1 2
3 Formula 4 med II
6 6,871550
Formula 5 med II 6
41,445900 Formula 6 med II
6 50,623950
Sig. 1,000
1,000 1,000
Tabel 4.17. menit420
Duncan Subset for alpha = .05
Perlakuan N
1 2
3 Formula 4 med II
6 7,245600
Formula 5 med II 6
46,777483 Formula 6 med II
6 55,431450
Sig. 1,000
1,000 1,000
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Tabel 4.18.
menit450
Duncan Subset for alpha = .05
Perlakuan N
1 2
3 Formula 4 med II
6 7,503767
Formula 5 med II 6
52,506400 Formula 6 med II
6 60,259983
Sig. 1,000
1,000 1,000
Tabel 4.19. menit480
Duncan Subset for alpha = .05
Perlakuan N
1 2
3 Formula 4 med II
6 7,883500
Formula 5 med II 6
57,932450 Formula 6 med II
6 65,370317
Sig. 1,000
1,000 1,000
Lampiran 8: Uji SPSS Anova Pada Medium Lambung Buatan pH 1,2 Pada Formula 1,2,3,4,5,dan 6
Tabel 5 ANOVA
Sum of Squares
df Mean Square
F Sig.
Between Groups 1,909
5 ,382
5738,053 ,000
Within Groups ,002
30 ,000
menit5 Total
1,911 35
Between Groups 13,195
5 2,639
14707,203 ,000
Within Groups ,005
30 ,000
menit15 Total
13,200 35
Between Groups 37,727
5 7,545
70,392 ,000
Within Groups 3,216
30 ,107
menit30 Total
40,942 35
Between Groups 1100590,7
55 5
220118,151 1,006
,431 Within Groups
6564698,7 37
30 218823,291
menit45
Total 7665289,4
91 35
Between Groups 58,606
5 11,721
487,067 ,000
Within Groups ,722
30 ,024
menit60 Total
59,327 35
Between Groups 82,275
5 16,455
15948,125 ,000
Within Groups ,031
30 ,001
menit90 Total
82,306 35
Between Groups 99,529
5 19,906
7889,328 ,000
Within Groups ,076
30 ,003
menit120 Total
99,605 35
Between Groups 126,977
5 25,395
4150,275 ,000
menit150 Within Groups
,184 30
,006
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Total 127,161
35 Between Groups
173,200 5
34,640 11155,897
,000 Within Groups
,093 30
,003 menit180
Total 173,293
35 Between Groups
230,674 5
46,135 12047,456
,000 Within Groups
,115 30
,004 menit210
Total 230,789
35 Between Groups
299,211 5
59,842 1522,320
,000 Within Groups
1,179 30
,039 menit240
Total 300,390
35 Between Groups
485,593 5
97,119 12622,826
,000 Within Groups
,231 30
,008 menit270
Total 485,824
35 Between Groups
748,558 5
149,712 14013,451
,000 Within Groups
,321 30
,011 menit300
Total 748,879
35 Between Groups
1122,136 5
224,427 830,271
,000 Within Groups
8,109 30
,270 menit330
Total 1130,245
35 Between Groups
1627,582 5
325,516 5808,512
,000 Within Groups
1,681 30
,056 menit360
Total 1629,263
35 Between Groups
2236,467 5
447,293 7683,788
,000 Within Groups
1,746 30
,058 menit390
Total 2238,213
35 Between Groups
2926,535 5
585,307 54,084
,000 Within Groups
324,667 30
10,822 menit420
Total 3251,202
35 Between Groups
4303,807 5
860,761 26078,540
,000 Within Groups
,990 30
,033 menit450
Total 4304,798
35 Between Groups
6198,542 5
1239,708 28372,979
,000 Within Groups
1,311 30
,044 menit480
Total 6199,853
35 Tabel 5.1.
menit5
Duncan Subset for alpha = .05
Perlakuan N
1 2
3 4
5 Formula 4 med I
6 ,438993
Formula 5 med I 6
,438983 Formula 6 med I
6 ,330667
Formula I med 1 6
,008750 Formula 3 med I
6 ,031433
formula 2 med I 6
,104600 Sig.
,998 1,000
1,000 1,000
1,000
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Tabel 5.2. menit15
Duncan Subset for alpha = .05
Perlakuan N
1 2
3 4
5 Formula 5 med I
6 ,772700
Formula 6 med I 6
,535917 Formula 3 med I
6 ,022800
formula 2 med I 6
,244950 Formula I med 1
6 ,809317
Formula 4 med I 6
,809317 Sig.
1,000 1,000
1,000 1,000
1,000
Tabel 5.3. menit30
Duncan Subset for alpha = .05
Perlakuan N
1 2
3 4
Formula 5 med I 6
,612733 Formula 6 med I
6 ,471433 Formula 3 med I
6 ,078750
formula 2 med I 6
,734950 Formula I med 1
6 1,900000
Formula 4 med I 6
1,900000 Sig.
,461 1,000
1,000 1,000
Tabel 5.4. menit45
Duncan Subset for
alpha = .05
Perlakuan N
1 Formula 6 med I
6 468,07241
Formula 5 med I 6
1,039683 Formula 3 med I
6 ,767350
formula 2 med I 6
1,222283 Formula I med 1
6 2,239433
Formula 4 med I 6
2,239433 Sig.
,135
Tabel 5.5. menit60
Duncan Subset for alpha = .05
Perlakuan N
1 2
3 4
Formula 5 med I 6
,888556 Formula 6 med I
6 ,120733
Formula 3 med I 6
1,625567 formula 2 med I
6 1,768600
Formula I med 1 6
2,577033 Formula 4 med I
6 2,577033
Sig. 1,000
1,000 ,121
1,000
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Tabel 5.6. menit90
Duncan Subset for alpha = .05
Perlakuan N
1 2
3 4
5 Formula 5 med I
6 ,959867
Formula 6 med I 6
,599703 formula 2 med I
6 2,401683
Formula 3 med I 6
2,612950 Formula I med 1
6 3,148300
Formula 4 med I 6
3,148300 Sig.
1,000 1,000
1,000 1,000
1,000
.Tabel 5.7. menit120
Duncan Subset for alpha = .05
Perlakuan N
1 2
3 4
5 Formula 5 med I
6 ,692550
Formula 6 med I 6
1,257000 Formula I med 1
6 3,358133
Formula 4 med I 6
3,358133 formula 2 med I
6 3,541550
Formula 3 med I 6
4,015750 Sig.
1,000 1,000
1,000 1,000
1,000
Tabel 5.8. menit150
Duncan Subset for alpha = .05
Perlakuan N
1 2
3 4
5 Formula 5 med I
6 ,314655
Formula 6 med I 6
2,309550 Formula I med 1
6 3,840200
Formula 4 med I 6
3,840200 formula 2 med I
6 4,709850
Formula 3 med I 6
5,431867 Sig.
1,000 1,000
1,000 1,000
1,000
Tabel 5.9. menit180
Duncan Subset for alpha = .05
Perlakuan N
1 2
3 4
5 Formula 5 med I
6 ,272133
Formula 6 med I 6
3,545733 Formula I med 1
6 4,218667
Formula 4 med I 6
4,218667 formula 2 med I
6 6,105417
Formula 3 med I 6
7,267533 Sig.
1,000 1,000
1,000 1,000
1,000
Tabel 5.10. menit210
Duncan Subset for alpha = .05
Perlakuan N
1 2
3 4
5 Formula 5 med I
6 1,097833
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Formula I med 1 6
4,680483 Formula 4 med I
6 4,680483
Formula 6 med I 6
4,946267 formula 2 med I
6 7,446633
Formula 3 med I 6
9,211300 Sig.
1,000 1,000
1,000 1,000
1,000
Tabel 5.11. menit240
Duncan Subset for alpha = .05
Perlakuan N
1 2
3 4
5 Formula 5 med I
6 2,250700
Formula I med 1 6
5,236217 Formula 4 med I
6 5,236217
Formula 6 med I 6
6,745067 formula 2 med I
6 8,877233
Formula 3 med I 6
11,293150 Sig.
1,000 1,000
1,000 1,000
1,000
Tabel 5.12. menit270
Duncan Subset for alpha = .05
Perlakuan N
1 2
3 4
5 Formula 5 med I
6 3,533833
Formula I med 1 6
5,355167 Formula 4 med I
6 5,355167
Formula 6 med I 6
8,890300 formula 2 med I
6 10,625483
Formula 3 med I 6
14,269733 Sig.
1,000 1,000
1,000 1,000
1,000
Tabel 5.13. menit300
Duncan Subset for alpha = .05
Perlakuan N
1 2
3 4
5 Formula 5 med I
6 5,048050
Formula I med 1 6
5,608400 Formula 4 med I
6 5,608400
Formula 6 med I 6
11,599733 formula 2 med I
6 12,678867
Formula 3 med I 6
17,261750 Sig.
1,000 1,000
1,000 1,000
1,000
Tabel 5.14. menit330
Duncan Subset for alpha = .05
Perlakuan N
1 2
3 4
5 Formula I med 1
6 5,862583
Formula 4 med I 6
5,862583 Formula 5 med I
6 6,885583
Formula 6 med I 6
14,208667 formula 2 med I
6 15,457200
Formula 3 med I 6
20,398883
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Sig. 1,000
1,000 1,000
1,000 1,000
Tabel 5.15. menit360
Duncan Subset for alpha = .05
Perlakuan N
1 2
3 4
5 Formula I med 1
6 6,257267
Formula 4 med I 6
6,257267 Formula 5 med I
6 9,021725
Formula 6 med I 6
18,017717 formula 2 med I
6 18,419517
Formula 3 med I 6
23,586383 Sig.
1,000 1,000
1,000 1,000
1,000
.Tabel 5.16. menit390
Duncan Subset for alpha = .05
Perlakuan N
1 2
3 4
5 Formula I med 1
6 6,871550
Formula 4 med I 6
6,871550 Formula 5 med I
6 11,212150
Formula 6 med I 6
21,630267 formula 2 med I
6 22,083550
Formula 3 med I 6
26,701417 Sig.
1,000 1,000
1,000 1,000
1,000
Tabel 5.17. menit420
Duncan Subset for alpha = .05
Perlakuan N
1 2
3 4
Formula I med 1 6
7,245600 Formula 4 med I
6 7,245600
Formula 5 med I 6
13,642133 formula 2 med I
6 22,681617
Formula 6 med I 6
25,914033 Formula 3 med I
6 30,370783
Sig. 1,000
1,000 ,099
1,000
Tabel 5.18. menit450
Duncan Subset for alpha = .05
Perlakuan N
1 2
3 4
5 Formula I med 1
6 7,503767
Formula 4 med I 6
7,503767 Formula 5 med I
6 16,258483
Formula 6 med I 6
29,867683 formula 2 med I
6 30,168283
Formula 3 med I 6
33,958417 Sig.
1,000 1,000
1,000 1,000
1,000
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Tabel 5.19. menit480
Duncan Subset for alpha = .05
Perlakuan N
1 2
3 4
Formula I med 1 6
7,883500 Formula 4 med I
6 7,883500
Formula 5 med I 6
19,051017 Formula 6 med I
6 34,667100
formula 2 med I 6
34,734633 Formula 3 med I
6 40,128100
Sig. 1,000
1,000 ,580
1,000
Lampiran 9: Uji SPSS Anova Pada Medium pH 6 Pada Formula 1,2,3,4,5,dan 6
Tabel 6 :
ANOVA
Sum of Squares
df Mean Square
F Sig.
Between Groups 4,450
5 ,890
13613,349 ,000
Within Groups ,002
30 ,000
menit5 Total
4,452 35
Between Groups 8,757
5 1,751
50735,262 ,000
Within Groups ,001
30 ,000
menit15 Total
8,758 35
Between Groups 16,570
5 3,314
324,491 ,000
Within Groups ,306
30 ,010
menit30 Total
16,876 35
Between Groups 35,454
5 7,091
15197,436 ,000
Within Groups ,014
30 ,000
menit45 Total
35,468 35
Between Groups 292,105
5 58,421
1,315 ,284
Within Groups 1333,185
30 44,439
menit60 Total
1625,290 35
Between Groups 233,959
5 46,792
9150,415 ,000
Within Groups ,153
30 ,005
menit90 Total
234,112 35
Between Groups 616,439
5 123,288
14917,786 ,000
Within Groups ,248
30 ,008
menit120 Total
616,687 35
Between Groups 1190,679
5 238,136
18668,944 ,000
Within Groups ,383
30 ,013
menit150 Total
1191,061 35
Between Groups 2009,903
5 401,981
20442,336 ,000
Within Groups ,590
30 ,020
menit180 Total
2010,493 35
Between Groups 3072,872
5 614,574
18119,244 ,000
Within Groups 1,018
30 ,034
menit210 Total
3073,889 35
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Between Groups 4386,370
5 877,274
8186,211 ,000
Within Groups 3,215
30 ,107
menit240 Total
4389,585 35
Between Groups 6188,055
5 1237,611
14686,883 ,000
Within Groups 2,528
30 ,084
menit270 Total
6190,583 35
Between Groups 8400,980
5 1680,196
9524,807 ,000
Within Groups 5,292
30 ,176
menit3000 Total
8406,273 35
Between Groups 10843,366
5 2168,673
18542,928 ,000
Within Groups 3,509
30 ,117
menit330 Total
10846,875 35
Between Groups 13951,972
5 2790,394
16057,717 ,000
Within Groups 5,213
30 ,174
menit360 Total
13957,185 35
Between Groups 17475,816
5 3495,163
22925,769 ,000
Within Groups 4,574
30 ,152
menit390 Total
17480,389 35
Between Groups 21927,840
5 4385,568
20343,201 ,000
Within Groups 6,467
30 ,216
menit420 Total
21934,308 35
Between Groups 27259,599
5 5451,920
25795,695 ,000
Within Groups 6,340
30 ,211
menit450 Total
27265,940 35
Between Groups 33786,794
5 6757,359
22171,595 ,000
Within Groups 9,143
30 ,305
menit480 Total
33795,937 35
Tabel 6.1. menit5
Duncan Subset for alpha = .05
Perlakuan N
1 2
3 4
5 Formula 1 med II
6 ,008750
Formula 4 med II 6
,008750 Formula 3 med II
6 ,410733
Formula 2 med II 6
,594700 Formula 5 med II
6 ,637500
Formula 6 med II 6
,993200 Sig.
1,000 1,000
1,000 1,000
1,000
Tabel 6.2. menit15
Duncan Subset for alpha = .05
Perlakuan N
1 2
3 4
5 Formula 1 med II
6 ,809317
Formula 4 med II 6
,809317 Formula 3 med II
6 ,830800
Formula 2 med II 6
1,237517 Formula 5 med II
6 1,382183
Formula 6 med II 6
2,191900 Sig.
1,000 1,000
1,000 1,000
1,000
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Tabel 6.3.
menit30
Duncan Subset for alpha = .05
Perlakuan N
1 2
3 4
Formula 3 med II 6
1,448733 Formula 1 med II
6 1,900000
Formula 4 med II 6
1,900000 Formula 5 med II
6 2,266033
Formula 2 med II 6
2,279733 Formula 6 med II
6 3,619200
Sig. 1,000
1,000 ,816
1,000
Tabel 6.4. menit45
Duncan Subset for alpha = .05
Perlakuan N
1 2
3 4
5 Formula 1 med II
6 2,239433
Formula 4 med II 6
2,239433 Formula 5 med II
6 3,203617
Formula 2 med II 6
3,432350 Formula 3 med II
6 3,527333
Formula 6 med II 6
5,192400 Sig.
1,000 1,000
1,000 1,000
1,000
Tabel 6.5. menit60
Duncan Subset for
alpha = .05
Perlakuan N
1 Formula 1 med II
6 2,577033
Formula 4 med II 6
2,577033 Formula 2 med II
6 4,701683
Formula 3 med II 6
5,845718 Formula 6 med II
6 7,101500
Formula 5 med II 6
10,823583 Sig.
,067
Tabel 6.6. menit90
Duncan Subset for alpha = .05
Perlakuan N
1 2
3 4
5 Formula 1 med II
6 3,148300
Formula 4 med II 6
3,148300 Formula 5 med II
6 5,501667
Formula 2 med II 6
6,394850 Formula 3 med II
6 8,396317
Formula 6 med II 6
10,081317 Sig.
1,000 1,000
1,000 1,000
1,000
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Tabel 6.7. menit120
Duncan Subset for alpha = .05
Perlakuan N
1 2
3 4
5 Formula 1 med II
6 3,358133
Formula 4 med II 6
3,358133 Formula 5 med II
6 7,251583
Formula 2 med II 6
8,566683 Formula 6 med II
6 13,322917
Formula 3 med II 6
13,546133 Sig.
1,000 1,000
1,000 1,000
1,000
Tabel 6.8. menit150
Duncan Subset for alpha = .05
Perlakuan N
1 2
3 4
5 Formula 1 med II
6 3,840200
Formula 4 med II 6
3,840200 Formula 5 med II
6 10,010883
Formula 2 med II 6
10,891283 Formula 6 med II
6 16,827267
Formula 3 med II 6
18,841150 Sig.
1,000 1,000
1,000 1,000
1,000
Tabel 6.9. menit180
Duncan Subset for alpha = .05
Perlakuan N
1 2
3 4
5 Formula 1 med II
6 4,218667
Formula 4 med II 6
4,218667 Formula 5 med II
6 12,787700
Formula 2 med II 6
14,277550 Formula 6 med II
6 20,443900
Formula 3 med II 6
24,153767 Sig.
1,000 1,000
1,000 1,000
1,000
Tabel 6.10. menit240
Duncan Subset for alpha = .05
Perlakuan N
1 2
3 4
5 Formula 1 med II
6 5,236217
Formula 4 med II 6
5,236217 Formula 5 med II
6 18,972867
Formula 2 med II 6
21,409167 Formula 6 med II
6 28,449050
Formula 3 med II 6
35,034583 Sig.
1,000 1,000
1,000 1,000
1,000
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Tabel 6.11 menit270
Duncan Subset for alpha = .05
Perlakuan N
1 2
3 4
5 Formula 1 med II
6 5,355167
Formula 4 med II 6
5,355167 Formula 5 med II
6 22,833017
Formula 2 med II 6
25,507367 Formula 6 med II
6 32,673333
Formula 3 med II 6
40,717867 Sig.
1,000 1,000
1,000 1,000
1,000
Tabel 6.12. menit300
Duncan Subset for alpha = .05
Perlakuan N
1 2
3 4
5 Formula 1 med II
6 5,608400
Formula 4 med II 6
5,608400 Formula 5 med II
6 27,263533
Formula 2 med II 6
30,168317 Formula 6 med II
6 37,000700
Formula 3 med II 6
46,753283 Sig.
1,000 1,000
1,000 1,000
1,000
Tabel 6.13. menit330
Duncan Subset for alpha = .05
Perlakuan N
1 2
3 4
5 Formula 1 med II
6 5,862583
Formula 4 med II 6
5,862583 Formula 5 med II
6 31,951200
Formula 2 med II 6
35,564267 Formula 6 med II
6 41,390267
Formula 3 med II 6
52,054667 Sig.
1,000 1,000
1,000 1,000
1,000
Tabel 6.14. menit390
Duncan Subset for alpha = .05
Perlakuan N
1 2
3 4
5 Formula 1 med II
6 6,871550
Formula 4 med II 6
6,871550 Formula 5 med II
6 41,445900
Formula 2 med II 6
49,775480 Formula 6 med II
6 50,623950
Formula 3 med II 6
64,010350 Sig.
1,000 1,000
1,000 1,000
1,000
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Tabel 6.15. menit420
Duncan Subset for alpha = .05
Perlakuan N
1 2
3 4
5 Formula 1 med II
6 7,245600
Formula 4 med II 6
7,245600 Formula 5 med II
6 46,777483
Formula 6 med II 6
55,431450 Formula 2 med II
6 58,060383
Formula 3 med II 6
70,042333 Sig.
1,000 1,000
1,000 1,000
1,000
Tabel 6.16. menit450
Duncan Subset for alpha = .05
Perlakuan N
1 2
3 4
5 Formula 1 med II
6 7,503767
Formula 4 med II 6
7,503767 Formula 5 med II
6 52,506400
Formula 6 med II 6
60,259983 Formula 2 med II
6 66,621083
Formula 3 med II 6
76,220350 Sig.
1,000 1,000
1,000 1,000
1,000
Tabel 6.17. menit480
Duncan Subset for alpha = .05
Perlakuan N
1 2
3 4
5 Formula 1 med II
6 7,883500
Formula 4 med II 6
7,883500 Formula 5 med II
6 57,932450
Formula 6 med II 6
65,370317 Formula 2 med II
6 76,086083
Formula 3 med II 6
83,231200 Sig.
1,000 1,000
1,000 1,000
1,000
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Lampiran 10.Contoh perhitungan jumlah teofilin yang terperangkap kedalam matriks nata
Sebagai contoh adalah jumlah pada matriks nata untuk formula 3 pada medium I pH 1,2
Jumlah Teofilin yang terperangkap adalah : Berat Matriks setelah berisi teofilin setelah di freeze dryer -Berat Matriks sebelum
berisi teofilin : 96,7 – 12,4 = 84,3
Dengan cara yang sama diperoleh jumlah yang terperangkap untuk percobaan selanjutnya
Lampiran 11. Jumlah Teofilin yang Terperangkap dalam medium I pH 1,2
Formula Berat matriks
sebelum berisi Teofilin mg
Berat matriks setelah berisi Teofilin,
setelah di-freeze dryer mg
Berat Teofilin yang
diperangkapkan mg
32,1 110,7 78,6 32,2 110,9 78,7
32,2 110,8 78,6 32,4 110,8 78,4
32,2 110,7 78,5 Formula 1
32,1 110,6 78,5 12,4 100,5 88,1
12,6 100,9 88,3 12,7 100,8 88,1
12,8 100,9 88,1 12,6 100,9 88,3
Formula 2
12,9 100,7 87,8 13,1 99,8 86,7
13,2 99,9 86,7 13,1 99,8 86,7
13,4 99,5 86,1 13,5 99,7 86,2
Formula 3
13,2 99,5 86,3
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Lampiran 12. Jumlah Teofilin yang Terperangkap dalam medium II pH 6
Formula Berat matriks
sebelum berisi Teofilin mg
Berat matriks setelah berisi Teofilin,
setelah di-freeze dryer mg
Berat Teofilin yang
diperangkapkan mg
34,5 113,1 78,6 34,4 114,2 79,8
34,2 115,0 80,8 34,3 114,1 79,8
34,6 113,5 78,9 Formula 1
34,5 112,3 77,8 14,2 102,3 88,1
14,8 104,5 89,7 14,7 105,3 90,6
14,6 103,1 88,5 14,7 103,2 88,5
Formula 2
14,6 104,7 90,1 22,1 107,3 85,2
22,4 107,9 85,5 22,5 108,1 85,6
22,5 107,8 85,3 22,1 108,2 86,1
Formula 3
22,5 108,7 86,2
Lampiran 13.Contoh perhitungan kadar teofilin yang terlepas.
Pengujian terhadap bentuk sediaan yang dibuat menurut formula 2 dalam medium II yang dilakukan sebanyak enam kali.
Persen kumulatif teofilin yang terlepas pada saat t = 5 menit
a.1 Pengujian I