42
Lampiran 2. Bagan Kerja Penelitian
Mencit jantan
Kelompok perlakuan Dosis 1 g/kg bb (6 kontrol aquades
(6 ekor)
Hasil
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
44
Lampiran 4. Gambar Serbuk Effervescent Daun Jati Belanda dan Monosodium Glutamat
(a) Serbuk effervescent daun jati belanda
46 Lampiran 5. Gambar Alat
Lampiran 6. Gambar Hewan Normal, Setelah Induksi Monosodium Glutamat dan Setelah Pemberian Serbuk Effervescent Daun Jati Belanda
(a) Hewan Normal
(b) Setelah induksi MSG
48 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 = g ďż˝ g = 0,03 g = 30 mg Konsentrasi larutan = 100 mg/mL
Volume pemberian = mg
mg x mL = 0,3 mL 2. SEDJB dosis 2 g/kg bb
Berat badan mencit = 30 g
Dosis pemberian = g ďż˝ g = 0,06 g = 60 mg Konsentrasi larutan = 100 mg/mL
Volume pemberian = 6 mg
mg x mL = 0,6 mL 3. SEDJB dosis 3 g/kg bb
Berat badan mencit = 30 g
Dosis pemberian = g ďż˝ g = 0,09 g = 90 mg Konsentrasi larutan = 100 mg/mL
Volume pemberian = 9 mg
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
50 Lampiran 8
Data analisis H0-H14 secara statistik spss oneway ANOVA T-Test
Notes
Output Created 23-Feb-2017 09:16:52
Comments
Input Data D:\punya dini\spp ibb.sav
Active Dataset DataSet1 Filter <none> Weight <none> Split File <none> N of Rows in Working
Data File
24
Missing Value Handling Definition of Missing User defined missing values are treated as missing.
Cases Used Statistics for each analysis are based on the cases with no missing or out-of-range data for any variable in the analysis.
Syntax T-TEST PAIRS=H1 WITH
H14 (PAIRED)
/CRITERIA=CI(.9500) /MISSING=ANALYSIS.
Resources Processor Time 00 00:00:00.016
Elapsed Time 00 00:00:00.016
[DataSet1] D:\punya dini\spp ibb.sav
Paired Samples Statistics
Mean N Std. Deviation
Std. Error Mean
Pair 1 H 1 101.3083 24 2.59346 .52939
H 14 128.0542 24 3.66333 .74777
Paired Samples Correlations
N Correlation Sig. Pair 1 H 1 & H 14 24 -.275 .194
Paired Samples Test
Paired Differences t df
95% Confidence Interval of the
Difference
ONEWAY H14 H15 H16 H17 H18 H19 H20 H21 H22 H23 H24 H25 H26 H27 H28 BY PERLAKUAN
/MISSING ANALYSIS
Lampiran 9
Data analisis H14-H28 secara statistik spss oneway ANOVA
Oneway
Notes
Output Created 23-Feb-2017 09:34:20
Comments
Input Data D:\punya dini\spp ibb.sav
Active Dataset DataSet1
Filter <none>
Weight <none>
Split File <none> N of Rows in Working Data
File
24
Missing Value Handling Definition of Missing User-defined missing values are treated as missing.
Cases Used Statistics for each analysis are based on cases with no missing data for any variable in the analysis.
Syntax ONEWAY H14 H16 H17
H18 H19 H20 H21 H22 H23 H24 H25 H26 H27 H28 BY PERLAKUAN
/MISSING ANALYSIS /POSTHOC=DUNCAN ALPHA(0.05).
Resources Processor Time 00 00:00:00.094
Elapsed Time 00 00:00:00.094 [DataSet1] D:\punya dini\spp ibb.sav
52
Post Hoc Tests
Homogeneous Subsets
H 14
Means for groups in homogeneous subsets are displayed. a. Uses Harmonic Mean Sample Size = 6.000.
H 16
H 18
Means for groups in homogeneous subsets are displayed.
a. Uses Harmonic Mean Sample Size = 6.000.
H 20
Means for groups in homogeneous subsets are displayed.
a. Usesn Sampl6.000.
H 22
Means for groups in homogeneous subsets are displayed.
54
Means for groups in homogeneous subsets are displayed. a. Uses Harmonic Mean Sample Size = 6.000.
H 26
Means for groups in homogeneous subsets are displayed. a. Uses Harmonic Mean Sample Size = 6.000.
H 28
Means for groups in homogeneous subsets are displayed.
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 23-Feb-2017 09:42:37
Comments
Input Data D:\punya dini\spp ibb.sav
Active Dataset DataSet1
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 24
Missing Value Handling Definition of Missing User defined missing values
are treated as missing.
Cases Used Statistics for each analysis are
based on the cases with no missing or out-of-range data for any variable in the analysis.
Syntax 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.
Resources Processor Time 00 00:00:00.000
Elapsed Time 00 00:00:00.006
[DataSet1] D:\punya dini\spp ibb.sav
Paired Samples Statistics
56
Paired Samples Correlations
N Correlation Sig.
Paired Samples Test
Paired Differences t df
95% Confidence Interval of the
Difference
T-TEST PAIRS=H1 WITH H28 (PAIRED) /CRITERIA=CI(.9500)
Lampiran 10. Data analisis H0-H28 secara statistik spss oneway ANOVA
T-Test
Notes
Output Created 23-Feb-2017 11:15:20
Comments
Input Data D:\punya dini\spp ibb.sav
Active Dataset DataSet1
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File
24
Missing Value Handling Definition of Missing User defined missing values
are treated as missing.
Cases Used Statistics for each analysis are
based on the cases with no missing or out-of-range data for any variable in the analysis.
Syntax T-TEST PAIRS=H1 WITH
H28 (PAIRED)
/CRITERIA=CI(.9500) /MISSING=ANALYSIS.
Resources Processor Time 00 00:00:00.000
Elapsed Time 00 00:00:00.002
[DataSet1] D:\punya dini\spp ibb.sav
Paired Samples Statistics
Mean N Std. Deviation Std. Error Mean
Pair 1 H 1 101.3083 24 2.59346 .52939
H 28 94.2667 24 13.03179 2.66010
Paired Samples Correlations
N Correlation Sig.
Pair 1 H 1 & H 28 24 .111 .607
Paired Samples Test
Paired Differences T df
95% Confidence Interval of the
58
Lampiran 11. Perhitungan bahan serbuk effervescent daun jati belanda
R/ Ekstrak jati belanda 500 mg
Keterangan: X, Y, Z= perbandingan asam basa
ď‚· 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
ď‚· Asam sitrat = 150 mg x 100 bungkus = 15 g
ď‚· Na bikarbonat = 460 mg x 100 bungkus = 46 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)
ď‚· Asam sitrat 150 mg
asam sitrat BM asam sitrat =
x Na bikarbonat BM Na bikarbonat
Na bikarbonat = 150 mg x 84,01 x 3210,13 = 180 mg
ď‚· Asam tartrat 250 mg
asam tartrat BM asam tartrat =
x Na bikarbonat BM Na bikarbonat
Na bikarbonat = 250 mg x 84,01 x 2150,09 = 280 mg
