35
Lampiran 1. Skema Alur Penelitian
Prosedur dilakukan diulang kembali setiap dua jam berikutnya untuk mendapatkan berat setelah perendaman untuk kelompok waktu 4 jam , 6 jam dan 8 jam
Sampel ditimbang untuk mendapatkan berat awal (m1) sebagai kontrol
Sampel direndam dalam aquadest 5 ml dan dimasukkan ke inkubator dengan temperatur ± 370C selama 2 jam
Sampel dikeluarkan dan dikeringkan dengan kertas tisu selama 5 detik
Sampel ditimbang untuk mendapatkan berat setelah perendaman (m2) pada kelompok waktu perendaman 2 jam
Sampel microfiller dikeluarkan dari ring dan dimasukkan ke inkubator 370C selama 24 jam
Ring berdiameter 15 mm x 1 mm dialasi
cellophan strip
Sampel resin komposit microfiller dimasukkan ke dalam ring dan dipadatkan
Glass microscope slide yang sudah dialasi cellophan strip diletakkan di atas ring
Resin komposit microfiller disinari selama 40 detik dengan jarak penyinaran 1 mm pada
kelima titik penyinaran
Ring berdiameter 15 mm x 1 mm dialasi
cellophan strip
Sampel resin komposit nanofiller dimasukkan ke dalam ring dan dipadatkan
Glass microscope slide yang sudah dialasi cellophan strip diletakkan di atas ring
Resin komposit nanofiller disinari selama 40 detik dengan jarak penyinaran 1 mm pada
kelima titik penyinaran
Sampel nanofiller dikeluarkan dari ring dan dimasukkan ke inkubator 370C selama 24 jam
Sampel ditimbang untuk mendapatkan berat awal (m1) sebagai kontrol
Sampel direndam dalam aquadest 5 ml dan dimasukkan ke inkubator dengan temperatur ± 370C selama 2 jam
Sampel dikeluarkan dan dikeringkan dengan kertas tisu selama 5 detik
Sampel ditimbang untuk mendapatkan berat setelah perendaman (m2) pada kelompok waktu perendaman 2 jam
Prosedur dilakukan diulang kembali setiap dua jam berikutnya untuk mendapatkan berat setelah perendaman untuk kelompok waktu 4 jam , 6 jam dan 8 jam
Analisa data : Uji Repeated Anova dan uji t-independen
Hitung persentase berat penyerapan air sampel dengan rumus : %w = 100[(m
2- m
1)/m
1]
36
Lampiran 2. Uji Normalitas
Descriptives
Microfiller
Descriptive Statistics
N Minimum Maximum Mean Std. Deviation
jam_0 10 .3873 .4995 .4393 .0361
jam_2 10 .3873 .4999 .4398 .0362
jam_4 10 .3873 .5001 .4400 .0362
jam_6 10 .3873 .5003 .4403 .0362
jam_8 10 .3874 .5003 .4405 .0362
selisih1 10 .000 .257 .109 .079
selisih2 10 .000 .158 .058 .053
selisih3 10 .000 .176 .078 .062
selisih4 10 .000 .090 .032 .034
Valid N (listwise) 10
Descriptives
Nanofiller
Descriptive Statistics
N Minimum Maximum Mean Std. Deviation
jam_0 10 .3608 .4408 .4044 .023
jam_2 10 .3612 .4415 .4049 .022
jam_4 10 .3614 .4420 .4055 .023
jam_6 10 .3616 .4425 .4058 .023
jam_8 10 .3617 .4432 .4059 .023
selisih1 10 .050 .222 .125 .055
selisih2 10 .026 .258 .107 .064
selisih3 10 .000 .113 .059 .039
selisih4 10 .000 .158 .055 .045
37
Tests of Normality Microfiller
Kolmogorov-Smirnova Shapiro-Wilk
Statistic df Sig. Statistic df Sig.
jam_0 .154 10 .200* .949 10 .658
jam_2 .153 10 .200* .952 10 .689
jam_4 .153 10 .200* .951 10 .685
jam_6 .152 10 .200* .953 10 .707
jam_8 .153 10 .200* .953 10 .701
selisih1 .118 10 .200* .960 10 .785
selisih2 .166 10 .200* .911 10 .285
selisih3 .131 10 .200* .946 10 .617
selisih4 .227 10 .157 .861 10 .078
a. Lilliefors Significance Correction
*. This is a lower bound of the true significance.
Tests of Normality Nanofiller
Kolmogorov-Smirnova Shapiro-Wilk
Statistic df Sig. Statistic df Sig.
jam_0 .150 10 .200* .976 10 .939
jam_2 .150 10 .200* .977 10 .947
jam_4 .144 10 .200* .978 10 .952
jam_6 .146 10 .200* .978 10 .952
jam_8 .147 10 .200* .978 10 .954
selisih1 .302 10 .010 .849 10 .056
selisih2 .220 10 .187 .883 10 .141
selisih3 .178 10 .200* .912 10 .297
selisih4 .235 10 .126 .879 10 .128
a. Lilliefors Significance Correction
*. This is a lower bound of the true significance.
38
Lampiran 2. Uji Normalitas
Descriptives
Microfiller
Descriptive Statistics
N Minimum Maximum Mean Std. Deviation
jam_0 10 .3873 .4995 .4393 .0361
jam_2 10 .3873 .4999 .4398 .0362
jam_4 10 .3873 .5001 .4400 .0362
jam_6 10 .3873 .5003 .4403 .0362
jam_8 10 .3874 .5003 .4405 .0362
selisih1 10 .000 .257 .109 .079
selisih2 10 .000 .158 .058 .053
selisih3 10 .000 .176 .078 .062
selisih4 10 .000 .090 .032 .034
Valid N (listwise) 10
Descriptives
Nanofiller
Descriptive Statistics
N Minimum Maximum Mean Std. Deviation
jam_0 10 .3608 .4408 .4044 .023
jam_2 10 .3612 .4415 .4049 .022
jam_4 10 .3614 .4420 .4055 .023
jam_6 10 .3616 .4425 .4058 .023
jam_8 10 .3617 .4432 .4059 .023
selisih1 10 .050 .222 .125 .055
selisih2 10 .026 .258 .107 .064
selisih3 10 .000 .113 .059 .039
selisih4 10 .000 .158 .055 .045
39
Tests of Normality Microfiller
Kolmogorov-Smirnova Shapiro-Wilk
Statistic df Sig. Statistic df Sig.
jam_0 .154 10 .200* .949 10 .658
jam_2 .153 10 .200* .952 10 .689
jam_4 .153 10 .200* .951 10 .685
jam_6 .152 10 .200* .953 10 .707
jam_8 .153 10 .200* .953 10 .701
selisih1 .118 10 .200* .960 10 .785
selisih2 .166 10 .200* .911 10 .285
selisih3 .131 10 .200* .946 10 .617
selisih4 .227 10 .157 .861 10 .078
a. Lilliefors Significance Correction
*. This is a lower bound of the true significance.
Tests of Normality Nanofiller
Kolmogorov-Smirnova Shapiro-Wilk
Statistic df Sig. Statistic df Sig.
jam_0 .150 10 .200* .976 10 .939
jam_2 .150 10 .200* .977 10 .947
jam_4 .144 10 .200* .978 10 .952
jam_6 .146 10 .200* .978 10 .952
jam_8 .147 10 .200* .978 10 .954
selisih1 .302 10 .010 .849 10 .056
selisih2 .220 10 .187 .883 10 .141
selisih3 .178 10 .200* .912 10 .297
selisih4 .235 10 .126 .879 10 .128
a. Lilliefors Significance Correction
*. This is a lower bound of the true significance.
40
Lampiran 3. Uji Repeated Anova
General Linear Model
microfiller
Within-Subjects Factors
Measure:MEASURE_1
waktu
Dependent
Variable
1 selisih1
2 selisih2
3 selisih3
4 selisih4
Descriptive Statistics
Mean Std. Deviation N
selisih1 .10950000 .078566674 10
selisih2 .05800000 .052510316 10
selisih3 .07840000 .062298921 10
selisih4 .03240000 .034451899 10
Multivariate Testsb
Effect Value F Hypothesis df Error df Sig.
waktu Pillai's Trace .499 2.323a 3.000 7.000 .162
Wilks' Lambda .501 2.323a 3.000 7.000 .162
Hotelling's Trace .996 2.323a 3.000 7.000 .162
Roy's Largest Root .996 2.323a 3.000 7.000 .162
a. Exact statistic
b. Design: Intercept
41
General Linear Model
nanofiller
Within-Subjects Factors
Measure:MEASURE_1
waktu
Dependent
Variable
1 selisih1
2 selisih2
3 selisih3
4 selisih4
Descriptive Statistics
Mean Std. Deviation N
selisih1 .12520000 .055028881 10
selisih2 .10710000 .063800819 10
selisih3 .05930000 .039617757 10
selisih4 .05490000 .044660323 10
Multivariate Testsb
Effect Value F Hypothesis df Error df Sig.
waktu Pillai's Trace .648 4.287a 3.000 7.000 .052
Wilks' Lambda .352 4.287a 3.000 7.000 .052
Hotelling's Trace 1.837 4.287a 3.000 7.000 .052
Roy's Largest Root 1.837 4.287a 3.000 7.000 .052
a. Exact statistic
b. Design: Intercept
Within Subjects Design: waktu
42
Lampiran 4. Uji T-Independen
Group Statistics
kelompok N Mean Std. Deviation Std. Error Mean
selisih1 mikrofiller 10 .10950000 .078566674 .024844964
nanofiller 10 .12520000 .055028881 .017401660
selisih2 mikrofiller 10 .05800000 .052510316 .016605220
nanofiller 10 .10710000 .063800819 .020175590
selisih3 mikrofiller 10 .07840000 .062298921 .019700649
nanofiller 10 .05930000 .039617757 .012528235
selisih4 mikrofiller 10 .03240000 .034451899 .010894647
nanofiller 10 .05490000 .044660323 .014122834
Independent Samples Test
Levene's Test for Equality of
Variances t-test for Equality of Means
F Sig. t df Sig. (2-tailed) Mean Difference
Std. Error
Difference
95% Confidence Interval of the
Difference
Lower Upper
selisih1 Equal variances assumed .696 .415 -.518 18 .611 -.015700000 .030332985 -.079427237 .048027237
43
selisih2 Equal variances assumed .029 .866 -1.879 18 .077 -.049100000 .026130208 -.103997530 .005797530
Equal variances not assumed -1.879 17.358 .077 -.049100000 .026130208 -.104143454 .005943454
selisih3 Equal variances assumed 3.122 .094 .818 18 .424 .019100000 .023346782 -.029949769 .068149769
Equal variances not assumed .818 15.256 .426 .019100000 .023346782 -.030589812 .068789812
selisih4 Equal variances assumed .050 .826 -1.261 18 .223 -.022500000 .017836698 -.059973511 .014973511
Equal variances not assumed -1.261 16.910 .224 -.022500000 .017836698 -.060147351 .015147351
