Pengaruh Pemberian Serbuk Effervescent Ekstrak Kering Daun Jati Belanda (Guazuma Ulmifolia Lamk.) Terhadap Penurunan Berat Badan Mencit Jantan

Lampiran 1. Hasil Identifikasi Sampel Penelitian

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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

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Lampiran 3. Rekomendasi Persetujuan Etik Penelitian Kesehatan

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Lampiran 4. Gambar Serbuk Effervescent Daun Jati Belanda dan Monosodium
Glutamat

(a) Serbuk effervescent daun jati belanda

(b).Monosodium glutamat (MSG)

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Lampiran 5. Gambar Alat

Timbangan Hewan

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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
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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

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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
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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
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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

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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.

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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.

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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

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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.

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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

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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

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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

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