Lampiran 1. Skema Alur Penelitian
KEKASARAN PERMUKAAN LEMPENG RESIN AKRILIK
POLIMERISASI PANAS SETELAH DIRENDAM DALAM
LARUTAN PEMBERSIH GIGI TIRUAN
SODIUM HIPOKLORIT 0,5%
Proses curing
Deflasking
Polishing
Sampel
Hasil (berupa data)
Pengukuran kekasaran
permukaan sebelum
d
(k
l)
Sampel direndam ke dalam
larutan sodium hipoklorit
0 5% selama 10 menit
Sampel diangkat dan
dikeringkan, lalu
diuji kekasarannya
Sampel direndam ke dalam
larutan sodium hipoklorit
0 5% selama 10 menit
Sampel diangkat dan
dikeringkan, lalu
diuji kekasarannya
Sampel direndam ke dalam
larutan sodium hipoklorit
0 5% selama 10 menit
Sampel diangkat dan
dikeringkan, lalu
diuji kekasarannya
Sampel direndam ke dalam
larutan sodium hipoklorit
0 5% selama 10 menit
Sampel direndam ke dalam
larutan sodium hipoklorit
0 5% selama 10 menit
Sampel diangkat dan
dikeringkan, lalu
diuji kekasarannya
Sampel diangkat dan
dikeringkan, lalu
diuji kekasarannya
Sampel direndam ke dalam
larutan sodium hipoklorit
0 5% selama 10 menit
Sampel diangkat dan
dikeringkan, lalu
diuji kekasarannya
Sampel direndam ke dalam
larutan sodium hipoklorit
0 5% selama 10 menit
Sampel diangkat dan
Lampiran 2. Hasil Analisis Deskriptif Perubahan Kekasaran Resin
Akrilik Polimersisasi Panas Yang Berbeda Pada Setiap
10 Menit
Descriptive Statistics
Mean Std. Deviation N
Sebelum .1647 .01841 10
10 menit .1933 .03018 10
20 menit .2117 .02825 10
30 menit .2313 .02256 10
40 menit .2423 .02876 10
50 menit .2563 .02687 10
60 menit .2990 .04792 10
Lampiran 3. Hasil Analisis Deskriptif Selisih Perubahan Kekasaran Resin
Akrilik Polimersisasi Panas Yang Berbeda Pada Setiap 10
Menit
Descriptive Statistics
N
Minimum Maximum
Mean
Std. Deviation
selisih1
10
.01
.05
.0287
.01492
selisih2
10
.01
.04
.0183
.01168
selisih3
10
.00
.06
.0197
.01644
selisih4
10
.01
.04
.0110
.00917
selisih5
10
.00
.03
.0140
.00843
selisih6
10
.01
.10
.0427
.03391
selisih7
10
.02
.21
.0427
.06030
Lampiran 4. Tes Normalitas
Tests of Normality
Kolmogorov-Smirnov
aShapiro-Wilk
Statistic
df
Sig.
Statistic
df
Sig.
Sebelum
.132
10
.200
*.987
10
.992
10 menit
.171
10
.200
*.933
10
.482
20 menit
.170
10
.200
*.914
10
.307
30 menit
.158
10
.200
*.949
10
.658
40 menit
.209
10
.200
*.914
10
.306
50 menit
.197
10
.200
*.957
10
.746
60 menit
.174
10
.200
*.895
10
.194
70 menit
.209
10
.200
*.851
10
.059
Lampiran 5. Anova Multivariate Tests
Multivariate Testsb
Effect Value F Hypothesis df Error df Sig.
waktu Pillai's Trace .981 22.619a 7.000 3.000 .013
Wilks' Lambda .019 22.619a 7.000 3.000 .013
Hotelling's Trace 52.777 22.619a 7.000 3.000 .013
Roy's Largest Root 52.777 22.619a 7.000 3.000 .013
a. Exact statistic
b. Design: Intercept
Lampiran 6. ANOVA REPEATED / General Linear Model
Mean Difference
(I-J) Std. Error Sig.a
95% Confidence Interval for
Differencea
Lower Bound Upper Bound
6 -.063* .006 .000 -.076 -.050
7 -.106* .013 .000 -.136 -.076
8 -.148* .017 .000 -.187 -.109
3 1 .047* .005 .000 .035 .059
2 .018* .004 .001 .010 .027
4 -.020* .005 .004 -.031 -.008
5 -.031* .006 .001 -.044 -.017
6 -.045* .005 .000 -.056 -.033
7 -.087* .012 .000 -.115 -.059
8 -.130* .017 .000 -.168 -.092
4 1 .067* .004 .000 .059 .075
2 .038* .005 .000 .026 .050
3 .020* .005 .004 .008 .031
5 -.011* .003 .004 -.018 -.004
6 -.025* .003 .000 -.031 -.019
7 -.068* .013 .001 -.097 -.039
8 -.110* .019 .000 -.153 -.067
5 1 .078* .005 .000 .066 .089
2 .049* .006 .000 .036 .062
3 .031* .006 .001 .017 .044
4 .011* .003 .004 .004 .018
6 -.014* .003 .001 -.020 -.008
7 -.057* .011 .001 -.082 -.031
8 -.099* .018 .000 -.141 -.058
6 1 .092* .005 .000 .080 .103
2 .063* .006 .000 .050 .076
3 .045* .005 .000 .033 .056
4 .025* .003 .000 .019 .031
5 .014* .003 .001 .008 .020
7 -.043* .011 .003 -.067 -.018
7 1 .134* .013 .000 .104 .165
2 .106* .013 .000 .076 .136
3 .087* .012 .000 .059 .115
4 .068* .013 .001 .039 .097
5 .057* .011 .001 .031 .082
6 .043* .011 .003 .018 .067
8 -.043 .019 .052 -.086 .000
8 1 .177* .019 .000 .134 .220
2 .148* .017 .000 .109 .187
3 .130* .017 .000 .092 .168
4 .110* .019 .000 .067 .153
5 .099* .018 .000 .058 .141
6 .085* .018 .001 .044 .127
7 .043 .019 .052 .000 .086
Based on estimated marginal means
*. The mean difference is significant at the .05 level.
