Pengaruh Pemberian Serbuk Effervescent Ekstrak Kering Daun Jati Belanda (Guazuma Ulmifolia Lamk.) Terhadap Penurunan Berat Badan Mencit Jantan
Lampiran 1. Hasil Identifikasi Sampel Penelitian
42
Universitas Sumatera Utara
Lampiran 2. Bagan Kerja Penelitian
Mencit jantan
Kelompok
perlakuan Dosis
1 g/kg bb (6
ekor)
Kelompokperl
akuan dosis 3
g/kg bb (6
ekor)
Kelompok
perlakuan
dosis 2 g/kg
bb (6
korekor)g/kg
Kelompok
kontrol aquades
(6 ekor)
Diberikan perlakuan induksi
obesitas (MSG) 2 g/kg bb
selama 14 hari secara
subkutan
Diukur peningkatan berat
badan
mencit
Diberikan larutan SEDJB dosis 1
g/kg bb, 2 g/kg bb, 3 g/kg bb selama
14 hari secara per oral
Diukur penurunan berat
badan mencit
Hasil
43
Universitas Sumatera Utara
Lampiran 3. Rekomendasi Persetujuan Etik Penelitian Kesehatan
44
Universitas Sumatera Utara
Lampiran 4. Gambar Serbuk Effervescent Daun Jati Belanda dan Monosodium
Glutamat
(a) Serbuk effervescent daun jati belanda
(b).Monosodium glutamat (MSG)
45
Universitas Sumatera Utara
Lampiran 5. Gambar Alat
Timbangan Hewan
46
Universitas Sumatera Utara
Lampiran 6. Gambar Hewan Normal, Setelah Induksi Monosodium Glutamat
dan Setelah Pemberian Serbuk Effervescent Daun Jati Belanda
(a) Hewan Normal
(b) Setelah induksi MSG
(c) Setelah pemberian SEDJB
47
Universitas Sumatera Utara
Lampiran 7
Perhitungan volume pemberian larutan serbuk effercescent daun jati belanda dosis
1 g/kg BB, 2 g/kg BB, dan 3 g/kg BB. Monosodium glutamat dosis 2 g/kg BB.
1. SEDJB dosis 1 g/kg bb
Berat badan mencit
= 30 g
Dosis pemberian
=
Konsentrasi larutan
= 100 mg/mL
Volume pemberian
=
2. SEDJB dosis 2 g/kg bb
g�
mg
mg
g
= 0,03 g = 30 mg
x mL = 0,3 mL
Berat badan mencit
= 30 g
Dosis pemberian
=
Konsentrasi larutan
= 100 mg/mL
Volume pemberian
=
3. SEDJB dosis 3 g/kg bb
g�
6 mg
mg
g
= 0,06 g = 60 mg
x mL = 0,6 mL
Berat badan mencit
= 30 g
Dosis pemberian
=
Konsentrasi larutan
= 100 mg/mL
Volume pemberian
=
g�
9 mg
mg
g
= 0,09 g = 90 mg
x mL = 0,9 mL
48
Universitas Sumatera Utara
Lampiran 7. (Lanjutan)
4. Pemberian induksi monosodium glutamat Dosis yang digunakan 2 g/kg bb
Berat badan mencit
= 25 g
Dosis pemberian
=2 g (MSG) dilarutkan dalam 10 ml aquades
Volume pemberian
= diambil 1% berat badan mencit
49
Universitas Sumatera Utara
Lampiran 8
Data analisis H0-H14 secara statistik spss oneway ANOVA
T-Test
Notes
Output Created
Comments
Input
23-Feb-2017 09:16:52
Missing Value Handling
Data
Active Dataset
Filter
Weight
Split File
N of Rows in Working
Data File
Definition of Missing
Cases Used
Syntax
Resources
D:\punya dini\spp ibb.sav
DataSet1
24
User defined missing values are
treated as missing.
Statistics for each analysis are
based on the cases with no
missing or out-of-range data for
any variable in the analysis.
T-TEST PAIRS=H1 WITH
H14 (PAIRED)
/CRITERIA=CI(.9500)
/MISSING=ANALYSIS.
Processor Time
Elapsed Time
00 00:00:00.016
00 00:00:00.016
[DataSet1] D:\punya dini\spp ibb.sav
Paired Samples Statistics
Pair 1
Pair 1
Mean
N
Std. Deviation
H1
101.3083
24
2.59346
H 14
128.0542
24
3.66333
Paired Samples Correlations
N
Correlation
Sig.
H 1 & H 14
24
-.275
.194
Std. Error
Mean
.52939
.74777
Paired Samples Test
Pair 1
H1
-H
14
Paired Differences
t
df
95% Confidence
Interval of the
Std.
Std.
Difference
Deviatio Error
Mean
n
Mean Lower
Upper
-26.74
5.03
1.02 -28.872 -24.619 -26.017 23
Sig.
(2tailed
)
.000
ONEWAY H14 H15 H16 H17 H18 H19 H20 H21 H22 H23 H24 H25 H26 H27 H28 BY PERLAKUAN
/MISSING ANALYSIS
/POSTHOC=DUNCAN ALPHA(0.05).
50
Universitas Sumatera Utara
Lampiran 9
Data analisis H14-H28 secara statistik spss oneway ANOVA
Oneway
Notes
Output Created
Comments
Input
Missing Value Handling
23-Feb-2017 09:34:20
Data
Active Dataset
Filter
Weight
Split File
N of Rows in Working Data
File
Definition of Missing
Cases Used
Syntax
Resources
Processor Time
Elapsed Time
D:\punya dini\spp ibb.sav
DataSet1
24
User-defined missing values
are treated as missing.
Statistics for each analysis are
based on cases with no
missing data for any variable
in the analysis.
ONEWAY H14 H16 H17
H18 H19 H20 H21 H22 H23
H24 H25 H26 H27 H28 BY
PERLAKUAN
/MISSING ANALYSIS
/POSTHOC=DUNCAN
ALPHA(0.05).
00 00:00:00.094
00 00:00:00.094
[DataSet1] D:\punya dini\spp ibb.sav
ANOVA
H 14
Between Groups
Sum of Squares
30.938
H 16
Within Groups
Total
Between Groups
277.722
308.660
301.383
20
23
3
H 18
Within Groups
Total
Between Groups
412.450
713.833
1070.591
20
23
3
H 20
Within Groups
Total
Between Groups
1085.748
2156.340
527.068
20
23
3
340.302
867.370
20
23
Within Groups
Total
df
Mean Square
3
10.313
Si
F
g.
.743 .5
3
9
13.886
100.461
4.871 .0
1
1
20.622
356.864
6.574 .0
0
3
54.287
175.689 10.326 .0
0
0
17.015
51
Universitas Sumatera Utara
H 22
Between Groups
635.085
3
211.695
434.062
1069.146
1671.635
20
23
3
21.703
H 24
Within Groups
Total
Between Groups
H 26
Within Groups
Total
Between Groups
1116.223
2787.858
2189.997
20
23
3
H 28
Within Groups
Total
Between Groups
1696.117
3886.113
2732.887
20
23
3
Within Groups
Total
1173.147
3906.033
20
23
557.212
9.754 .0
0
0
9.984 .0
0
0
55.811
729.999
8.608 .0
0
1
84.806
910.962 15.530 .0
0
0
58.657
Post Hoc Tests
Homogeneous Subsets
H 14
Duncana
PERLAKUAN
1g
Aquadest
2g
3g
Sig.
N
6
6
6
6
Subset for alpha = 0.05
1
126.1000
128.5000
128.7833
128.8333
.258
Means for groups in homogeneous subsets are displayed.
a. Uses Harmonic Mean Sample Size = 6.000.
H 16
Duncana
6
Subset for alpha = 0.05
1
2
91.7500
2g
6
93.0333
1g
Aquadest
6
6
97.2333
97.2333
100.7167
.060
.199
PERLAKUAN
3g
Sig.
N
Means for groups in homogeneous subsets are displayed.
a. Uses Harmonic Mean Sample Size = 6.000.
52
Universitas Sumatera Utara
H 18
Duncana
Subset for alpha = 0.05
PERLAKUAN
N
1
2
3g
6
86.9000
1g
6
93.8500
2g
Aquadest
6
3
93.8500
98.5333
98.5333
6
105.2000
Sig.
.118
.284
.133
Means for groups in homogeneous subsets are displayed.
a. Uses Harmonic Mean Sample Size = 6.000.
H 20
Duncana
Subset for alpha = 0.05
PERLAKUAN
N
1
2
3g
6
92.7500
1g
6
95.7667
2g
Aquadest
6
96.1000
6
105.2667
Sig.
.198
1.000
Means for groups in homogeneous subsets are displayed.
a. Usesn Sampl6.000.
H 22
Duncana
PERLAKUAN
N
Subset for alpha = 0.05
2
1
3g
6
91.7500
1g
6
92.6000
2g
Aquadest
6
Sig.
3
92.6000
97.7333
6
104.6667
.755
.071
1.000
Means for groups in homogeneous subsets are displayed.
a. Uses Harmonic Mean Sample Size = 6.000.
53
Universitas Sumatera Utara
H 24
Duncana
PERLAKUAN
3g
N
6
Subset for alpha = 0.05
1
2
87.5833
1g
6
88.0333
2g
6
96.6167
Aquadest
6
108.1333
Sig.
.060
1.000
Means for groups in homogeneous subsets are displayed.
a. Uses Harmonic Mean Sample Size = 6.000.
H 26
Duncana
6
Subset for alpha = 0.05
1
2
84.4167
1g
6
89.3000
2g
6
Aquadest
6
PERLAKUAN
3g
N
3
89.3000
96.2167
109.8000
Sig.
.369
.208
1.000
Means for groups in homogeneous subsets are displayed.
a. Uses Harmonic Mean Sample Size = 6.000.
H 28
Duncana
PERLAKUAN
Subset for alpha = 0.05
1
2
N
3g
6
84.9500
1g
6
86.1833
2g
Aquadest
6
94.2500
Sig.
6
111.6833
.059
1.000
Means for groups in homogeneous subsets are displayed.
a. Uses Harmonic Mean Sample Size = 6.000.
54
Universitas Sumatera Utara
Lampiran 9. (lanjutan)
T-TEST PAIRS=H1 H14 H14 H14 H14 H14 H14 H14 WITH H14 H16 H18 H20
H22 H24 H26 H28 (PAIRED)
/CRITERIA=CI(.9500) /MISSING=ANALYSIS
T-Test
Notes
Output Created
Comments
Input
23-Feb-2017 09:42:37
Data
Active Dataset
Filter
Weight
Split File
N of Rows in Working Data File
Definition of Missing
Missing Value Handling
Cases Used
Syntax
Resources
D:\punya dini\spp ibb.sav
DataSet1
24
User defined missing values
are treated as missing.
Statistics for each analysis are
based on the cases with no
missing or out-of-range data for
any variable in the analysis.
T-TEST PAIRS=H1 H14 H14
H14 H14 H14 H14 H14 WITH
H14 H16 H18 H20 H22 H24
H26 H28 (PAIRED)
/CRITERIA=CI(.9500)
/MISSING=ANALYSIS.
Processor Time
Elapsed Time
00 00:00:00.000
00 00:00:00.006
[DataSet1] D:\punya dini\spp ibb.sav
Paired Samples Statistics
Mean
Pair 1
Pair 2
Pair 3
Pair 4
Pair 5
Pair 6
Pair 7
Pair 8
N
Std. Deviation
Std. Error Mean
H1
101.3083
24
2.59346
.52939
H 14
H 14
H 16
H 14
H 18
H 14
H 20
H 14
H 22
H 14
H 24
H 14
H 26
H 14
128.0542
128.0542
95.6833
128.0542
96.1208
128.0542
97.4708
128.0542
96.6875
128.0542
95.0917
128.0542
94.9333
128.0542
24
24
24
24
24
24
24
24
24
24
24
24
24
24
3.66333
3.66333
5.57102
3.66333
9.68266
3.66333
6.14099
3.66333
6.81796
3.66333
11.00960
3.66333
12.99852
3.66333
.74777
.74777
1.13718
.74777
1.97646
.74777
1.25352
.74777
1.39171
.74777
2.24732
.74777
2.65331
.74777
H 28
94.2667
24
13.03179
2.66010
55
Universitas Sumatera Utara
Paired Samples Correlations
N
Pair 1
Pair 2
Pair 3
Pair 4
Pair 5
Pair 6
Pair 7
Pair 8
H 1 & H 14
H 14 & H 16
H 14 & H 18
H 14 & H 20
H 14 & H 22
H 14 & H 24
H 14 & H 26
H 14 & H 28
Correlation
24
24
24
24
24
24
24
24
Sig.
-.275
.068
-.086
.004
.077
.005
-.144
-.140
.194
.751
.690
.984
.720
.981
.502
.514
Paired Samples Test
Pair 1
Pair 2
Pair 3
Pair 4
Pair 5
Pair 6
Pair 7
Pair 8
H1H 14
H 14 H 16
H 14 H 18
H 14 H 20
H 14 H 22
H 14 H 24
H 14 H 26
H 14 H 28
Paired Differences
95% Confidence
Interval of the
Std.
Difference
Deviatio Std. Error
Mean
n
Mean
Lower
Upper
-26.74
5.03
1.02
-28.87
-24.61
t
df
Sig.
(2taile
d)
32.37
6.45
1.31
29.64
26.017
35.09 24.568
23
.000
23
.000
31.93
10.64
2.17
27.43
36.42 14.700
23
.000
30.58
7.13
1.45
27.56
33.59 20.993
23
.000
31.36
7.48
1.52
28.20
34.52 20.524
23
.000
32.96
11.58
2.36
28.07
37.85 13.939
23
.000
33.12
14.00
2.85
27.20
39.03 11.587
23
.000
33.78
14.02
2.86
27.86
39.70 11.805
23
.000
T-TEST PAIRS=H1 WITH H28 (PAIRED)
/CRITERIA=CI(.9500)
/MISSING=ANALYSIS.
56
Universitas Sumatera Utara
Lampiran 10. Data analisis H0-H28 secara statistik spss oneway ANOVA
T-Test
Notes
Output Created
Comments
Input
23-Feb-2017 11:15:20
Missing Value Handling
Data
Active Dataset
Filter
Weight
Split File
N of Rows in Working Data
File
Definition of Missing
Cases Used
Syntax
Resources
D:\punya dini\spp ibb.sav
DataSet1
24
User defined missing values
are treated as missing.
Statistics for each analysis are
based on the cases with no
missing or out-of-range data
for any variable in the analysis.
T-TEST PAIRS=H1 WITH
H28 (PAIRED)
/CRITERIA=CI(.9500)
/MISSING=ANALYSIS.
Processor Time
Elapsed Time
00 00:00:00.000
00 00:00:00.002
[DataSet1] D:\punya dini\spp ibb.sav
Paired Samples Statistics
Mean
N
Std. Deviation
101.3083
24
2.59346
94.2667
24
13.03179
Pair 1 H 1
H 28
Std. Error Mean
.52939
2.66010
Paired Samples Correlations
N
Pair 1 H 1 & H 28
24
Correlation
.111
Sig.
.607
Paired Samples Test
Pair 1 H 1 H 28
Paired Differences
T
df
95% Confidence
Interval of the
Std.
Std.
Difference
Deviati
Error
Mean
on
Mean
Lower
Upper
7.0416
13.00
2.654
1.551 12.532 2.65 23
3
Sig. (2tailed)
.014
57
Universitas Sumatera Utara
Lampiran 11. Perhitungan bahan serbuk effervescent daun jati belanda
R/ Ekstrak jati belanda
500 mg
Asam sitrat
X
Asam tartrat
Y
Natrium bikarbonat
Z
Aspartam
2%
HPMC
3%
Mg stearate
1,5%
Laktosa q.s ad
2000 mg
Keterangan: X, Y, Z= perbandingan asam basa
Formula 3 (asam 20%)
Asam sitrat 150 mg + asam tartrat 250 mg + Na bikarbonat 460 mg
1. Rencana kerja
1. Berat 1 bungkus serbuk
= 2000 mg
2. Metode
= granulasi basah
3. Bentuk
= serbuk
2. Perhitungan bahan
1. Ekstrak kering daun jati belanda = 500 mg x 100 bungkus = 50 g
2. Asam basa
a. Formula 3
Asam sitrat
= 150 mg x 100 bungkus = 15 g
Asam tartrat
= 250 mg x 100 bungkus = 25 g
58
Universitas Sumatera Utara
Na bikarbonat
= 460 mg x 100 bungkus = 46 g
3. Aspartam
= 40 mg x 100 bungkus = 4 g
4. HPMC
= 60 mg x 100 bungkus = 6 g
5. Mg stearate
= 30 mg x 100 bungkus = 2 g
6. Laktosa
Formula 3
= 510 mg x 100 bungkus = 51 g
Perhitungan jumlah Na bikarbonat
Jumlah Na bikarbonat sebagai bahan pengancur didasarkan kepada
perbandingan molekul asam dan basa yang bereaksi. Untuk menetralisir 1
molekul asam sitrat dibituhkan 3 molekul Na bikarbonat dan untuk menetralisir 1
molekul asam tartrat dibutuhkan 2 molekul Na bikarbonat.
Berdasarkan hal tersebut, maka jumlah Na bikarbonat untuk menetralisir
asam sitrat dan asam tartrat diperoleh dari hasil perhitungan berikut:
a. Formula 3 (asam sitrat 150 mg dan asam tartrat 250 mg)
Asam sitrat 150 mg
x Na bikarbonat
asam sitrat
=
BM Na bikarbonat
BM asam sitrat
Na bikarbonat =
150 mg x 84,01 x 3
210,13
= 180 mg
Asam tartrat 250 mg
asam tartrat
x Na bikarbonat
=
BM asam tartrat
BM Na bikarbonat
Na bikarbonat =
250 mg x 84,01 x 2
150,09
= 280 mg
Total Na bikarbonat = 180 mg + 280 mg = 460 mg
59
Universitas Sumatera Utara
42
Universitas Sumatera Utara
Lampiran 2. Bagan Kerja Penelitian
Mencit jantan
Kelompok
perlakuan Dosis
1 g/kg bb (6
ekor)
Kelompokperl
akuan dosis 3
g/kg bb (6
ekor)
Kelompok
perlakuan
dosis 2 g/kg
bb (6
korekor)g/kg
Kelompok
kontrol aquades
(6 ekor)
Diberikan perlakuan induksi
obesitas (MSG) 2 g/kg bb
selama 14 hari secara
subkutan
Diukur peningkatan berat
badan
mencit
Diberikan larutan SEDJB dosis 1
g/kg bb, 2 g/kg bb, 3 g/kg bb selama
14 hari secara per oral
Diukur penurunan berat
badan mencit
Hasil
43
Universitas Sumatera Utara
Lampiran 3. Rekomendasi Persetujuan Etik Penelitian Kesehatan
44
Universitas Sumatera Utara
Lampiran 4. Gambar Serbuk Effervescent Daun Jati Belanda dan Monosodium
Glutamat
(a) Serbuk effervescent daun jati belanda
(b).Monosodium glutamat (MSG)
45
Universitas Sumatera Utara
Lampiran 5. Gambar Alat
Timbangan Hewan
46
Universitas Sumatera Utara
Lampiran 6. Gambar Hewan Normal, Setelah Induksi Monosodium Glutamat
dan Setelah Pemberian Serbuk Effervescent Daun Jati Belanda
(a) Hewan Normal
(b) Setelah induksi MSG
(c) Setelah pemberian SEDJB
47
Universitas Sumatera Utara
Lampiran 7
Perhitungan volume pemberian larutan serbuk effercescent daun jati belanda dosis
1 g/kg BB, 2 g/kg BB, dan 3 g/kg BB. Monosodium glutamat dosis 2 g/kg BB.
1. SEDJB dosis 1 g/kg bb
Berat badan mencit
= 30 g
Dosis pemberian
=
Konsentrasi larutan
= 100 mg/mL
Volume pemberian
=
2. SEDJB dosis 2 g/kg bb
g�
mg
mg
g
= 0,03 g = 30 mg
x mL = 0,3 mL
Berat badan mencit
= 30 g
Dosis pemberian
=
Konsentrasi larutan
= 100 mg/mL
Volume pemberian
=
3. SEDJB dosis 3 g/kg bb
g�
6 mg
mg
g
= 0,06 g = 60 mg
x mL = 0,6 mL
Berat badan mencit
= 30 g
Dosis pemberian
=
Konsentrasi larutan
= 100 mg/mL
Volume pemberian
=
g�
9 mg
mg
g
= 0,09 g = 90 mg
x mL = 0,9 mL
48
Universitas Sumatera Utara
Lampiran 7. (Lanjutan)
4. Pemberian induksi monosodium glutamat Dosis yang digunakan 2 g/kg bb
Berat badan mencit
= 25 g
Dosis pemberian
=2 g (MSG) dilarutkan dalam 10 ml aquades
Volume pemberian
= diambil 1% berat badan mencit
49
Universitas Sumatera Utara
Lampiran 8
Data analisis H0-H14 secara statistik spss oneway ANOVA
T-Test
Notes
Output Created
Comments
Input
23-Feb-2017 09:16:52
Missing Value Handling
Data
Active Dataset
Filter
Weight
Split File
N of Rows in Working
Data File
Definition of Missing
Cases Used
Syntax
Resources
D:\punya dini\spp ibb.sav
DataSet1
24
User defined missing values are
treated as missing.
Statistics for each analysis are
based on the cases with no
missing or out-of-range data for
any variable in the analysis.
T-TEST PAIRS=H1 WITH
H14 (PAIRED)
/CRITERIA=CI(.9500)
/MISSING=ANALYSIS.
Processor Time
Elapsed Time
00 00:00:00.016
00 00:00:00.016
[DataSet1] D:\punya dini\spp ibb.sav
Paired Samples Statistics
Pair 1
Pair 1
Mean
N
Std. Deviation
H1
101.3083
24
2.59346
H 14
128.0542
24
3.66333
Paired Samples Correlations
N
Correlation
Sig.
H 1 & H 14
24
-.275
.194
Std. Error
Mean
.52939
.74777
Paired Samples Test
Pair 1
H1
-H
14
Paired Differences
t
df
95% Confidence
Interval of the
Std.
Std.
Difference
Deviatio Error
Mean
n
Mean Lower
Upper
-26.74
5.03
1.02 -28.872 -24.619 -26.017 23
Sig.
(2tailed
)
.000
ONEWAY H14 H15 H16 H17 H18 H19 H20 H21 H22 H23 H24 H25 H26 H27 H28 BY PERLAKUAN
/MISSING ANALYSIS
/POSTHOC=DUNCAN ALPHA(0.05).
50
Universitas Sumatera Utara
Lampiran 9
Data analisis H14-H28 secara statistik spss oneway ANOVA
Oneway
Notes
Output Created
Comments
Input
Missing Value Handling
23-Feb-2017 09:34:20
Data
Active Dataset
Filter
Weight
Split File
N of Rows in Working Data
File
Definition of Missing
Cases Used
Syntax
Resources
Processor Time
Elapsed Time
D:\punya dini\spp ibb.sav
DataSet1
24
User-defined missing values
are treated as missing.
Statistics for each analysis are
based on cases with no
missing data for any variable
in the analysis.
ONEWAY H14 H16 H17
H18 H19 H20 H21 H22 H23
H24 H25 H26 H27 H28 BY
PERLAKUAN
/MISSING ANALYSIS
/POSTHOC=DUNCAN
ALPHA(0.05).
00 00:00:00.094
00 00:00:00.094
[DataSet1] D:\punya dini\spp ibb.sav
ANOVA
H 14
Between Groups
Sum of Squares
30.938
H 16
Within Groups
Total
Between Groups
277.722
308.660
301.383
20
23
3
H 18
Within Groups
Total
Between Groups
412.450
713.833
1070.591
20
23
3
H 20
Within Groups
Total
Between Groups
1085.748
2156.340
527.068
20
23
3
340.302
867.370
20
23
Within Groups
Total
df
Mean Square
3
10.313
Si
F
g.
.743 .5
3
9
13.886
100.461
4.871 .0
1
1
20.622
356.864
6.574 .0
0
3
54.287
175.689 10.326 .0
0
0
17.015
51
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H 22
Between Groups
635.085
3
211.695
434.062
1069.146
1671.635
20
23
3
21.703
H 24
Within Groups
Total
Between Groups
H 26
Within Groups
Total
Between Groups
1116.223
2787.858
2189.997
20
23
3
H 28
Within Groups
Total
Between Groups
1696.117
3886.113
2732.887
20
23
3
Within Groups
Total
1173.147
3906.033
20
23
557.212
9.754 .0
0
0
9.984 .0
0
0
55.811
729.999
8.608 .0
0
1
84.806
910.962 15.530 .0
0
0
58.657
Post Hoc Tests
Homogeneous Subsets
H 14
Duncana
PERLAKUAN
1g
Aquadest
2g
3g
Sig.
N
6
6
6
6
Subset for alpha = 0.05
1
126.1000
128.5000
128.7833
128.8333
.258
Means for groups in homogeneous subsets are displayed.
a. Uses Harmonic Mean Sample Size = 6.000.
H 16
Duncana
6
Subset for alpha = 0.05
1
2
91.7500
2g
6
93.0333
1g
Aquadest
6
6
97.2333
97.2333
100.7167
.060
.199
PERLAKUAN
3g
Sig.
N
Means for groups in homogeneous subsets are displayed.
a. Uses Harmonic Mean Sample Size = 6.000.
52
Universitas Sumatera Utara
H 18
Duncana
Subset for alpha = 0.05
PERLAKUAN
N
1
2
3g
6
86.9000
1g
6
93.8500
2g
Aquadest
6
3
93.8500
98.5333
98.5333
6
105.2000
Sig.
.118
.284
.133
Means for groups in homogeneous subsets are displayed.
a. Uses Harmonic Mean Sample Size = 6.000.
H 20
Duncana
Subset for alpha = 0.05
PERLAKUAN
N
1
2
3g
6
92.7500
1g
6
95.7667
2g
Aquadest
6
96.1000
6
105.2667
Sig.
.198
1.000
Means for groups in homogeneous subsets are displayed.
a. Usesn Sampl6.000.
H 22
Duncana
PERLAKUAN
N
Subset for alpha = 0.05
2
1
3g
6
91.7500
1g
6
92.6000
2g
Aquadest
6
Sig.
3
92.6000
97.7333
6
104.6667
.755
.071
1.000
Means for groups in homogeneous subsets are displayed.
a. Uses Harmonic Mean Sample Size = 6.000.
53
Universitas Sumatera Utara
H 24
Duncana
PERLAKUAN
3g
N
6
Subset for alpha = 0.05
1
2
87.5833
1g
6
88.0333
2g
6
96.6167
Aquadest
6
108.1333
Sig.
.060
1.000
Means for groups in homogeneous subsets are displayed.
a. Uses Harmonic Mean Sample Size = 6.000.
H 26
Duncana
6
Subset for alpha = 0.05
1
2
84.4167
1g
6
89.3000
2g
6
Aquadest
6
PERLAKUAN
3g
N
3
89.3000
96.2167
109.8000
Sig.
.369
.208
1.000
Means for groups in homogeneous subsets are displayed.
a. Uses Harmonic Mean Sample Size = 6.000.
H 28
Duncana
PERLAKUAN
Subset for alpha = 0.05
1
2
N
3g
6
84.9500
1g
6
86.1833
2g
Aquadest
6
94.2500
Sig.
6
111.6833
.059
1.000
Means for groups in homogeneous subsets are displayed.
a. Uses Harmonic Mean Sample Size = 6.000.
54
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Lampiran 9. (lanjutan)
T-TEST PAIRS=H1 H14 H14 H14 H14 H14 H14 H14 WITH H14 H16 H18 H20
H22 H24 H26 H28 (PAIRED)
/CRITERIA=CI(.9500) /MISSING=ANALYSIS
T-Test
Notes
Output Created
Comments
Input
23-Feb-2017 09:42:37
Data
Active Dataset
Filter
Weight
Split File
N of Rows in Working Data File
Definition of Missing
Missing Value Handling
Cases Used
Syntax
Resources
D:\punya dini\spp ibb.sav
DataSet1
24
User defined missing values
are treated as missing.
Statistics for each analysis are
based on the cases with no
missing or out-of-range data for
any variable in the analysis.
T-TEST PAIRS=H1 H14 H14
H14 H14 H14 H14 H14 WITH
H14 H16 H18 H20 H22 H24
H26 H28 (PAIRED)
/CRITERIA=CI(.9500)
/MISSING=ANALYSIS.
Processor Time
Elapsed Time
00 00:00:00.000
00 00:00:00.006
[DataSet1] D:\punya dini\spp ibb.sav
Paired Samples Statistics
Mean
Pair 1
Pair 2
Pair 3
Pair 4
Pair 5
Pair 6
Pair 7
Pair 8
N
Std. Deviation
Std. Error Mean
H1
101.3083
24
2.59346
.52939
H 14
H 14
H 16
H 14
H 18
H 14
H 20
H 14
H 22
H 14
H 24
H 14
H 26
H 14
128.0542
128.0542
95.6833
128.0542
96.1208
128.0542
97.4708
128.0542
96.6875
128.0542
95.0917
128.0542
94.9333
128.0542
24
24
24
24
24
24
24
24
24
24
24
24
24
24
3.66333
3.66333
5.57102
3.66333
9.68266
3.66333
6.14099
3.66333
6.81796
3.66333
11.00960
3.66333
12.99852
3.66333
.74777
.74777
1.13718
.74777
1.97646
.74777
1.25352
.74777
1.39171
.74777
2.24732
.74777
2.65331
.74777
H 28
94.2667
24
13.03179
2.66010
55
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Paired Samples Correlations
N
Pair 1
Pair 2
Pair 3
Pair 4
Pair 5
Pair 6
Pair 7
Pair 8
H 1 & H 14
H 14 & H 16
H 14 & H 18
H 14 & H 20
H 14 & H 22
H 14 & H 24
H 14 & H 26
H 14 & H 28
Correlation
24
24
24
24
24
24
24
24
Sig.
-.275
.068
-.086
.004
.077
.005
-.144
-.140
.194
.751
.690
.984
.720
.981
.502
.514
Paired Samples Test
Pair 1
Pair 2
Pair 3
Pair 4
Pair 5
Pair 6
Pair 7
Pair 8
H1H 14
H 14 H 16
H 14 H 18
H 14 H 20
H 14 H 22
H 14 H 24
H 14 H 26
H 14 H 28
Paired Differences
95% Confidence
Interval of the
Std.
Difference
Deviatio Std. Error
Mean
n
Mean
Lower
Upper
-26.74
5.03
1.02
-28.87
-24.61
t
df
Sig.
(2taile
d)
32.37
6.45
1.31
29.64
26.017
35.09 24.568
23
.000
23
.000
31.93
10.64
2.17
27.43
36.42 14.700
23
.000
30.58
7.13
1.45
27.56
33.59 20.993
23
.000
31.36
7.48
1.52
28.20
34.52 20.524
23
.000
32.96
11.58
2.36
28.07
37.85 13.939
23
.000
33.12
14.00
2.85
27.20
39.03 11.587
23
.000
33.78
14.02
2.86
27.86
39.70 11.805
23
.000
T-TEST PAIRS=H1 WITH H28 (PAIRED)
/CRITERIA=CI(.9500)
/MISSING=ANALYSIS.
56
Universitas Sumatera Utara
Lampiran 10. Data analisis H0-H28 secara statistik spss oneway ANOVA
T-Test
Notes
Output Created
Comments
Input
23-Feb-2017 11:15:20
Missing Value Handling
Data
Active Dataset
Filter
Weight
Split File
N of Rows in Working Data
File
Definition of Missing
Cases Used
Syntax
Resources
D:\punya dini\spp ibb.sav
DataSet1
24
User defined missing values
are treated as missing.
Statistics for each analysis are
based on the cases with no
missing or out-of-range data
for any variable in the analysis.
T-TEST PAIRS=H1 WITH
H28 (PAIRED)
/CRITERIA=CI(.9500)
/MISSING=ANALYSIS.
Processor Time
Elapsed Time
00 00:00:00.000
00 00:00:00.002
[DataSet1] D:\punya dini\spp ibb.sav
Paired Samples Statistics
Mean
N
Std. Deviation
101.3083
24
2.59346
94.2667
24
13.03179
Pair 1 H 1
H 28
Std. Error Mean
.52939
2.66010
Paired Samples Correlations
N
Pair 1 H 1 & H 28
24
Correlation
.111
Sig.
.607
Paired Samples Test
Pair 1 H 1 H 28
Paired Differences
T
df
95% Confidence
Interval of the
Std.
Std.
Difference
Deviati
Error
Mean
on
Mean
Lower
Upper
7.0416
13.00
2.654
1.551 12.532 2.65 23
3
Sig. (2tailed)
.014
57
Universitas Sumatera Utara
Lampiran 11. Perhitungan bahan serbuk effervescent daun jati belanda
R/ Ekstrak jati belanda
500 mg
Asam sitrat
X
Asam tartrat
Y
Natrium bikarbonat
Z
Aspartam
2%
HPMC
3%
Mg stearate
1,5%
Laktosa q.s ad
2000 mg
Keterangan: X, Y, Z= perbandingan asam basa
Formula 3 (asam 20%)
Asam sitrat 150 mg + asam tartrat 250 mg + Na bikarbonat 460 mg
1. Rencana kerja
1. Berat 1 bungkus serbuk
= 2000 mg
2. Metode
= granulasi basah
3. Bentuk
= serbuk
2. Perhitungan bahan
1. Ekstrak kering daun jati belanda = 500 mg x 100 bungkus = 50 g
2. Asam basa
a. Formula 3
Asam sitrat
= 150 mg x 100 bungkus = 15 g
Asam tartrat
= 250 mg x 100 bungkus = 25 g
58
Universitas Sumatera Utara
Na bikarbonat
= 460 mg x 100 bungkus = 46 g
3. Aspartam
= 40 mg x 100 bungkus = 4 g
4. HPMC
= 60 mg x 100 bungkus = 6 g
5. Mg stearate
= 30 mg x 100 bungkus = 2 g
6. Laktosa
Formula 3
= 510 mg x 100 bungkus = 51 g
Perhitungan jumlah Na bikarbonat
Jumlah Na bikarbonat sebagai bahan pengancur didasarkan kepada
perbandingan molekul asam dan basa yang bereaksi. Untuk menetralisir 1
molekul asam sitrat dibituhkan 3 molekul Na bikarbonat dan untuk menetralisir 1
molekul asam tartrat dibutuhkan 2 molekul Na bikarbonat.
Berdasarkan hal tersebut, maka jumlah Na bikarbonat untuk menetralisir
asam sitrat dan asam tartrat diperoleh dari hasil perhitungan berikut:
a. Formula 3 (asam sitrat 150 mg dan asam tartrat 250 mg)
Asam sitrat 150 mg
x Na bikarbonat
asam sitrat
=
BM Na bikarbonat
BM asam sitrat
Na bikarbonat =
150 mg x 84,01 x 3
210,13
= 180 mg
Asam tartrat 250 mg
asam tartrat
x Na bikarbonat
=
BM asam tartrat
BM Na bikarbonat
Na bikarbonat =
250 mg x 84,01 x 2
150,09
= 280 mg
Total Na bikarbonat = 180 mg + 280 mg = 460 mg
59
Universitas Sumatera Utara