Analisa data : Uji Repeated Anova dan uji t-independen

  Lampiran 1. Skema Alur Penelitian

Ring berdiameter 15 mm x 1 mm dialasi Ring berdiameter 15 mm x 1 mm dialasi

cellophan strip cellophan strip

  Sampel resin komposit microfiller dimasukkan Sampel resin komposit nanofiller dimasukkan ke dalam ring dan dipadatkan ke dalam ring dan dipadatkan

  Glass microscope slide yang sudah dialasi cellophan Glass microscope slide yang sudah dialasi cellophan strip diletakkan di atas ring strip diletakkan di atas ring

  Resin komposit nanofiller disinari selama 40 Resin komposit microfiller disinari selama detik dengan jarak penyinaran 1 mm pada

  40 detik dengan jarak penyinaran 1 mm pada kelima titik penyinaran kelima titik penyinaran

  Sampel nanofiller dikeluarkan dari ring dan Sampel microfiller dikeluarkan dari ring dan dimasukkan ke inkubator 37 C selama 24 jam dimasukkan ke inkubator 37 C selama 24 jam

  Sampel ditimbang untuk mendapatkan berat Sampel ditimbang untuk mendapatkan berat awal (m ) sebagai kontrol awal (m ) sebagai kontrol

  1

  1 Sampel direndam dalam aquadest 5 ml dan

  Sampel direndam dalam aquadest 5 ml dan dimasukkan ke inkubator dengan temperatur ± dimasukkan ke inkubator dengan temperatur ±

  37 C selama 2 jam

  37 C selama 2 jam Sampel dikeluarkan dan dikeringkan dengan Sampel dikeluarkan dan dikeringkan dengan kertas tisu selama 5 detik kertas tisu selama 5 detik

  Sampel ditimbang untuk mendapatkan berat Sampel ditimbang untuk mendapatkan berat setelah perendaman (m ) pada kelompok setelah perendaman (m ) pada kelompok

  2

  2

  waktu perendaman 2 jam waktu perendaman 2 jam Prosedur dilakukan diulang kembali setiap dua jam

  Prosedur dilakukan diulang kembali setiap dua jam berikutnya untuk mendapatkan berat setelah perendaman berikutnya untuk mendapatkan berat setelah perendaman untuk kelompok waktu 4 jam , 6 jam dan 8 jam untuk kelompok waktu 4 jam , 6 jam dan 8 jam

  Hitung persentase berat penyerapan air sampel dengan rumus : %w = 100[(m 2 - m 1 )/m 1 ]

  

Analisa data : Uji Repeated Anova dan uji t-independen 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

  Valid N (listwise)

  10

  • .949
  • .952

  • .951
  • .953
  • .953
  • .960
  • .911
  • .946
  • .976
  • .977
  • .978
  • .978
  • .978
  • .912

  10 .297 selisih4 .235 10 .126 .879 10 .128

  10 .954 selisih1 .302 10 .010 .849 10 .056 selisih2 .220 10 .187 .883 10 .141 selisih3 .178 10 .200

  10 .952 jam_8 .147 10 .200

  10 .952 jam_6 .146 10 .200

  10 .947 jam_4 .144 10 .200

  10 .939 jam_2 .150 10 .200

  Shapiro-Wilk Statistic df Sig. Statistic df Sig. jam_0 .150 10 .200

  a

  Kolmogorov-Smirnov

  Tests of Normality Nanofiller

  a. Lilliefors Significance Correction *. This is a lower bound of the true significance.

  10 .617 selisih4 .227 10 .157 .861 10 .078

  10 .285 selisih3 .131 10 .200

  10 .785 selisih2 .166 10 .200

  10 .701 selisih1 .118 10 .200

  10 .707 jam_8 .153 10 .200

  10 .685 jam_6 .152 10 .200

  10 .689 jam_4 .153 10 .200

  10 .658 jam_2 .153 10 .200

  Shapiro-Wilk Statistic df Sig. Statistic df Sig. jam_0 .154 10 .200

  a

  Kolmogorov-Smirnov

  Tests of Normality Microfiller

  a. Lilliefors Significance Correction *. This is a lower bound of the true significance. 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

  Valid N (listwise)

  10

  • .949
  • .952

  • .951
  • .953
  • .953
  • .960
  • .911
  • .946
  • .976
  • .977
  • .978
  • .978
  • .978
  • .912

  10 .297 selisih4 .235 10 .126 .879 10 .128

  10 .954 selisih1 .302 10 .010 .849 10 .056 selisih2 .220 10 .187 .883 10 .141 selisih3 .178 10 .200

  10 .952 jam_8 .147 10 .200

  10 .952 jam_6 .146 10 .200

  10 .947 jam_4 .144 10 .200

  10 .939 jam_2 .150 10 .200

  Shapiro-Wilk Statistic df Sig. Statistic df Sig. jam_0 .150 10 .200

  a

  Kolmogorov-Smirnov

  Tests of Normality Nanofiller

  a. Lilliefors Significance Correction *. This is a lower bound of the true significance.

  10 .617 selisih4 .227 10 .157 .861 10 .078

  10 .285 selisih3 .131 10 .200

  10 .785 selisih2 .166 10 .200

  10 .701 selisih1 .118 10 .200

  10 .707 jam_8 .153 10 .200

  10 .685 jam_6 .152 10 .200

  10 .689 jam_4 .153 10 .200

  10 .658 jam_2 .153 10 .200

  Shapiro-Wilk Statistic df Sig. Statistic df Sig. jam_0 .154 10 .200

  a

  Kolmogorov-Smirnov

  Tests of Normality Microfiller

  a. Lilliefors Significance Correction *. This is a lower bound of the true significance. Lampiran 3. Uji Repeated Anova General Linear Model microfiller Within-Subjects Factors

  Measure:MEASURE_1 Dependent waktu 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

  b Multivariate Tests Effect Value F Hypothesis df Error df Sig.

a

  waktu Pillai's Trace .499 2.323 3.000 7.000 .162

  

a

  Wilks' Lambda .501 2.323 3.000 7.000 .162

  

a

  Hotelling's Trace .996 2.323 3.000 7.000 .162

  

a

  Roy's Largest Root .996 2.323 3.000 7.000 .162

  a. Exact statistic

  b. Design: Intercept Within Subjects Design: waktu

  General Linear Model nanofiller Within-Subjects Factors

  Measure:MEASURE_1 Dependent waktu 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

  b Multivariate Tests Effect Value F Hypothesis df Error df Sig.

a

  waktu Pillai's Trace .648 4.287 3.000 7.000 .052

  

a

  Wilks' Lambda .352 4.287 3.000 7.000 .052

  

a

  Hotelling's Trace 1.837 4.287 3.000 7.000 .052

  

a

  Roy's Largest Root 1.837 4.287 3.000 7.000 .052

  a. Exact statistic

  b. Design: Intercept Within Subjects Design: waktu 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 Equal variances not assumed -.518 16.117 .612 -.015700000 .030332985 -.079965000 .048565000

  Universitas Sumatera Utara 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

  Universitas Sumatera Utara