DATA PENELITIAN SAMPEL

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1 1 Lampiran 1 DATA PENELITIAN SAMPEL NO : Nama : Usia : Alamat : No. Telp : Pendidikan : Lulus SD/SLTP/SLTA/Madrasah/Akademi/S1/S2/S3 Pekerjaan : Status Perkawinan : Suku Bangsa : Jumlah anak yang pernah dilahirkan :

2 2 Kepada Yth Ibu Di Tempat Lampiran 2 Bersama ini kami mohon kesediaan Ibu untuk berpartisipasi sebagai sampel penelitian kami tentang : Hubungan antara Periodontitis dengan Kelahiran Bayi Prematur Berberat Badan Lahir Rendah Dengan tujuan untuk : Mengetahui hubungan antara periodontitis dengan kelahiran bayi pematur berberat badan lahir rendah Dalam penelitian ini kepada Ibu akan dilakukan : Wawancara mengenai keluhan-keluhan yang ibu alami selama masa kehamilan Pemeriksaan keadaan rongga mulut yang meliputi pemeriksaan gigi geligi dan jaringan periodonsium Adapun ketidaknyamanan yang akan dialami selama prosedur penelitian tersebut adalah: saat pengisian kuisioner, saat pemeriksaan gigi geligi dan jaringan periodonsium. Semua tindakan tersebut membutuhkan waktu menit. Keuntungan menjadi sampel yaitu untuk menambah pengetahuan mengenai hubungan antara periodontitis dengan kelahiran bayi pematur berberat badan lahir rendah sehingga dapat lebih intensif dalam menjaga higiene oral secara rutin dan teratur untuk mencegah terjadinya penyakit periodontal. Penelitian ini tidak dipungut biaya (gratis). Jika Ibu bersedia, surat Pernyataan Kesediaan Menjadi Sampel Penelitian terlampir harap ditandatangani. Perlu diketahui bahwa surat kesediaan tersebut tidak mengikat. Demikian, mudah-mudahan keterangan kami diatas dapat dimengerti dan atas kesediaan Ibu untuk berpartisipasi dalam penelitian ini kami ucapkan terima kasih. Medan, Oktober 2010 Departemen Periodonsia Fakultas Kedokteran Gigi Universitas Sumatera Utara

3 3 Lampiran 3 PENJELASAN BAGI SAMPEL PENELITIAN Penelitian: Hubungan antara Periodontitis dengan Kelahiran Bayi Prematur Berberat Badan Lahir Rendah Peneliti: Siti Iwa Irana, Ade Apriliani, Khairiyah Ulfah, dan Shadia Shahira Pada kesempatan ini, kami ingin agar Ibu mengetahui dan memahami tujuan serta manfaat penelitian, sehingga memahami apa yang akan dilakukan, diperiksa dan didapatkan sebagai hasil penelitian ini. Dengan demikian, kami berharap Ibu bersedia ikut dalam penelitian sebagai sampel penelitian, dan kami percaya bahwa partisipasi ini akan bermanfaat bagi Ibu yang sedang hamil maupun setelah melahirkan. Apakah yang dimaksud dengan periodontitis? Periodontitis secara umum diartikan sebagai inflamasi yang melibatkan struktur periodontal pendukung. Apakah yang dimaksud dengan bayi prematur berberat badan lahir rendah? Bayi prematur berberat badan lahir rendah adalah bayi yang lahir dengan berat kurang dari 2500 gram dan lahir sebelum 37 minggu usia kehamilan. Apakah kaitan antara periodontitis dengan kelahiran bayi prematur berberat badan lahir rendah? Penyakit periodontal merupakan jalur tambahan terjadinya penjalaran keradangan pada organ-organ perempuan hamil dan janin. Peradangan pada organ lain selain saluran genital seperti jaringan periodontal dapat berpengaruh terhadap janin dan plasenta. Peradangan pada organ lain ini menjalar ke membran luar plasenta yang mengakibatkan robeknya membran lebih awal dan kerusakan plasenta. Selanjutnya dapat menimbulkan pendarahan dan nekrosis jaringan plasenta yang akan menghambat pertumbuhan janin Apa yang dimaksud dengan status periodontal? Kondisi jaringan periodonsium sampel yang diukur untuk mengetahui apakah terjadi kerusakan pada jaringan tersebut mengingat jaringan periodonsium merupakan jaringan yang berperan penting dalam mempertahankan gigi di rongga mulut. Apa tujuan dan manfaat penelitian ini? Penelitian ini bertujuan untuk mengetahui hubungan antara periodontitis dengan kelahiran bayi pematur berberat badan lahir rendah

4 4 Manfaat penelitian ini adalah memberikan informasi kepada masyarakat terutama ibu hamil tentang pentingnya kesehatan gigi dan rongga mulut sehingga timbul kesadaran untuk selalu menjaga kebersihan gigi dan rongga mulutnya agar resiko terjadinya kelahiran bayi prematur berberat badan lahir rendah dapat berkurang. Pemeriksaan apa saja yang dilakukan? Subjek penelitian diharapkan mengisi data diri. Kemudian akan diberikan kuesioner tentang periodontitis, selanjutnya akan dilakukan pemeriksaan status periodontal pasien mulai dari indeks OHIS, perdarahan gingiva, kedalaman poket, resesi gingiva dan kehilangan level perlekatan dan indeks CPITN. Berapa lama penelitian akan dilakukan? Penelitian dilakukan satu kali, pada pengisian data diri memakan waktu 5 menit, pengisian kuesioner 5 menit., dan pemeriksaan status periodontal 20 menit. Bagaimana mengenai biaya? Pada penelitian ini Sdr/Sdri tidak dikenakan biaya atau gratis.

5 5 Lampiran 4 LEMBAR PERSETUJUAN Yang bertanda tangan di bawah ini : Nama Alamat Telpon/Hp : : : Setelah mendapat penjelasan mengenai penelitian dan paham akan apa yang akan dilakukan, diperiksa, didapatkan pada penelitian yang berjudul : Hubungan Antara Periodontitis dengan Kelahiran Bayi Prematur Berberat Badan Lahir Rendah Maka dengan surat ini menyatakan setuju menjadi sampel pada penelitian ini. Medan,... Yang menyetujui, Sampel penelitian (...)

6 6 Fakultas Kedokteran Gigi Universitas Sumatera Utara Departemen Ilmu Periodonsia Kuesioner Penelitian HUBUNGAN ANTARA PERIODONTITIS DENGAN KELAHIRAN BAYI PREMATUR BERBERAT BADAN LAHIR RENDAH DITINJAU DARI ASPEK KEBERSIHAN MULUT No. Urut : Tanggal Pemeriksaan : I. Identitas Umum 1. Nama : 2. Umur : 3. Umur kehamilan : 4. Alamat : 5. Pendidikan terakhir : 1. Tidak Sekolah 2. TK 3. SD 4. SLTP 5. SMU 6. Perguruan Tinggi Data Bayi 6. Berat badan : 7. Jenis kelamin : 8. Umur bayi : II. Kondisi Kesehatan Umum Riwayat Medis Umum :

7 7 III. Tingkat Pengetahuan dan Kebiasaan Merawat Gigi 9. Menurut Anda, apakah merawat gigi itu penting? 1. Penting 2. Tidak Penting 3. Tidak Tahu 10. Apakah Anda pernah mendapat penyuluhan/pendidikan kesehatan gigi dan mulut? 1. Pernah 2. Tidak Pernah 11. Dimana Anda Pernah mendapat penyuluhan/pendidikan kesehatan gigi dan mulut? 1. Di sekolah 2. Di puskesmas 3. Di praktik bidan, dokter gigi dan dokter umum 4. Dan lain-lain (sebutkan) Apakah Anda pernah mendapatkan perawatan oleh dokter gigi? 1. Pernah 2. Tidak pernah 13. Jenis perawatan kesehatan gigi apa yang pernah Anda terima 1. Pencabutan gigi 2. Penambalan gigi 3. Pemutihan gigi 4. Dan lain-lain (sebutkan) Apakah Anda mengetahui cara lain untuk menjaga kesehatan gigi dan mulut selain dengan menyikat gigi? 1. Ya 2. Tidak tahu 15. Cara apa yang Anda ketahui untuk menjaga kesehatan gigi dan mulut selain dengan menyikat gigi? 1. Berkumur-kumur 2. Menggunakan benang gigi 3. Menggunakan tusuk gigi 4. Dan lain-lain (sebutkan). 16. Darimana Anda mengetahui informasi menjaga kesehatan gigi dan mulut? 1. Dokter gigi 2. Orang tua 3. Media informasi, seperti tv, koran, majalah 4. Sekolah IV. Gaya Hidup 17. Apakah Anda mempunyai kebiasaan merokok? 1. Ya 2. Tidak 18. Berapa kali dalam sehari Anda merokok?

8 kali sehari 2. > 2 kali sehari 3. Tidak setiap hari/kadang-kadang 19. Apakah Anda mempunyai kebiasaan minum-minuman keras? 1. Ya 2. Tidak V. Status Kebersihan Rongga Mulut Indeks Higiene Oral Disederhanakan (OHIS) DI V O CI V O Gigi Skor OHIS = Jumlah nilai DI + Jumlah nilai CI =

9 9 NPAR TESTS /K-S(NORMAL)=usia blb cpitn ig ippd di ci ohis ks kpk ip /MISSING ANALYSIS. NPar Tests (Normal) Notes Output Created 07-Jan :55:02 Comments Input Data C:\Documents and Settings\FKG\My Documents\Data ULIPE sav Active Dataset Filter Weight Split File DataSet1 klp = 1 (FILTER) <none> <none> N of Rows in Working Data File 28 Missing Value Handling Definition of Missing User-defined missing values are treated as missing. Cases Used Statistics for each test are based on all cases with valid data for the variable(s) used in that test. Syntax NPAR TESTS /K-S(NORMAL)=usia blb cpitn ig ippd di ci ohis ks kpk ip /MISSING ANALYSIS. Resources Processor Time 0:00: Elapsed Time 0:00: Number of Cases Allowed a a. Based on availability of workspace memory. [DataSet1] C:\Documents and Settings\FKG\My Documents\Data ULIPE sav

10 10 One-Sample Kolmogorov-Smirnov Test Normal Parameters a,,b Most Extreme Differences Std. Kolmogorov- N Mean Deviation Absolute Positive Negative Smirnov Z Usia (tahun) Berat lahir bayi CPITN Indeks Gingiva IPPD Debris Indeks Calculus Indeks Oral Higiene Indeks Kedalaman saku Kehilangan pelekatan Indeks Periodontal a. Test distribution is Normal. b. Calculated from data. USE ALL. COMPUTE filter_$=(klp = 2). VARIABLE LABEL filter_$ 'klp = 2 (FILTER)'. VALUE LABELS filter_$ 0 'Not Selected' 1 'Selected'. FORMAT filter_$ (f1.0). FILTER BY filter_$. EXECUTE. NPAR TESTS /K-S(NORMAL)=usia blb cpitn ig ippd di ci ohis ks kpk ip /MISSING ANALYSIS. NPar Tests (prematur) Notes Output Created 07-Jan :56:07 Comments Input Data C:\Documents and Settings\FKG\My Documents\Data ULIPE sav

11 11 Active Dataset Filter Weight Split File DataSet1 klp = 2 (FILTER) <none> <none> N of Rows in Working Data File 17 Missing Value Handling Definition of Missing User-defined missing values are treated as missing. Cases Used Statistics for each test are based on all cases with valid data for the variable(s) used in that test. Syntax NPAR TESTS /K-S(NORMAL)=usia blb cpitn ig ippd di ci ohis ks kpk ip /MISSING ANALYSIS. Resources Processor Time 0:00: Elapsed Time 0:00: Number of Cases Allowed a a. Based on availability of workspace memory. [DataSet1] C:\Documents and Settings\FKG\My Documents\Data ULIPE sav One-Sample Kolmogorov-Smirnov Test Normal Parameters a,,b Most Extreme Differences N Mean Std. Deviation Absolute Positive Negative Usia (tahun) Berat lahir bayi CPITN Indeks Gingiva IPPD Debris Indeks

12 12 Calculus Indeks Oral Higiene Indeks Kedalaman saku Kehilangan pelekatan Indeks Periodontal a. Test distribution is Normal. b. Calculated from data. T-TEST GROUPS=klp(1 2) /MISSING=ANALYSIS /VARIABLES=usia blb cpitn ig ippd di /CRITERIA=CI(.95). p{color:0;fontfamily:monospaced;font-size:14pt;font-style:normal;fontweight:normal;text-decoration:none} T-TEST GROUPS=klp(1 2) /MISSING=ANALYSIS /VARIABLES=usia blb cpitn ig ippd di /CRITERIA=CI(.95). T-Test Notes Output Created 07-Jan :58:59 Comments Input Data C:\Documents and Settings\FKG\My Documents\Data ULIPE sav Active Dataset Filter Weight Split File DataSet1 <none> <none> <none> N of Rows in Working Data File 45 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.

13 13 Syntax T-TEST GROUPS=klp(1 2) /MISSING=ANALYSIS /VARIABLES=usia blb cpitn ig ippd di /CRITERIA=CI(.95). Resources Processor Time 0:00: Elapsed Time 0:00: [DataSet1] C:\Documents and Settings\FKG\My Documents\Data ULIPE sav Group Statistics Kelompok pengamatan N Mean Std. Deviation Std. Error Mean Usia (tahun) Normal Prematur Berat lahir bayi Normal Prematur CPITN Normal Prematur Indeks Gingiva Normal Prematur IPPD Normal Prematur Debris Indeks Normal Prematur Levene's Test for Equality of Variances Independent Samples Test

14 14 F Sig. t df Sig. (2-ta Usia (tahun) Equal variances assumed Equal variances not assumed Berat lahir bayi Equal variances assumed Equal variances not assumed CPITN Equal variances assumed Equal variances not assumed Indeks Gingiva Equal variances assumed Equal variances not assumed IPPD Equal variances assumed Equal variances not assumed Debris Indeks Equal variances assumed Equal variances not assumed T-TEST GROUPS=klp(1 2) /MISSING=ANALYSIS /VARIABLES=ci ohis ks kpk ip /CRITERIA=CI(.95). T-Test Notes Output Created 07-Jan :00:38 Comments Input Data C:\Documents and Settings\FKG\My Documents\Data ULIPE sav Active Dataset Filter Weight DataSet1 <none> <none>

15 15 Split File <none> N of Rows in Working Data File 45 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 GROUPS=klp(1 2) /MISSING=ANALYSIS /VARIABLES=ci ohis ks kpk ip /CRITERIA=CI(.95). Resources Processor Time 0:00: Elapsed Time 0:00: [DataSet1] C:\Documents and Settings\FKG\My Documents\Data ULIPE sav Group Statistics Kelompok pengamatan N Mean Std. Deviation Std. Error Mean Calculus Indeks Normal Prematur Oral Higiene Indeks Normal Prematur Kedalaman saku Normal Prematur Kehilangan pelekatan Normal Prematur Indeks Periodontal Normal Prematur

16 16 Independent Samples Test Levene's Test for Equality of Variances F Sig. t df Sig. ( Calculus Indeks Equal variances assumed Equal variances not assumed Oral Higiene Indeks Equal variances assumed Equal variances not assumed Kedalaman saku Equal variances assumed Equal variances not assumed Kehilangan pelekatan Equal variances assumed Equal variances not assumed Indeks Periodontal Equal variances assumed Equal variances not assumed CROSSTABS /TABLES=didik suku jkb BY klp /FORMAT=AVALUE TABLES /STATISTICS=CHISQ /CELLS=COUNT EXPECTED ROW COLUMN TOTAL /COUNT ROUND CELL. p{color:0;font-family:monospaced;font-size:14pt;fontstyle:normal;font-weight:normal;text-decoration:none} CROSSTABS /TABLES=didik suku jkb BY klp /FORMAT=AVALUE TABLES /STATISTICS=CHISQ /CELLS=COUNT EXPECTED ROW COLUMN TOTAL /COUNT ROUND CELL. Crosstabs

17 17 Notes Output Created 07-Jan :03:33 Comments Input Data C:\Documents and Settings\FKG\My Documents\Data ULIPE sav Active Dataset Filter Weight Split File DataSet1 <none> <none> <none> N of Rows in Working Data File 45 Missing Value Handling Definition of Missing User-defined missing values are treated as missing. Cases Used Statistics for each table are based on all the cases with valid data in the specified range(s) for all variables in each table. Syntax CROSSTABS /TABLES=didik suku jkb BY klp /FORMAT=AVALUE TABLES /STATISTICS=CHISQ /CELLS=COUNT EXPECTED ROW COLUMN TOTAL /COUNT ROUND CELL. Resources Processor Time 0:00: Elapsed Time 0:00: Dimensions Requested 2 Cells Available [DataSet1] C:\Documents and Settings\FKG\My Documents\Data ULIPE sav Case Processing Summary

18 18 Cases Valid Missing Total N Percent N Percent N Percent Tingkat pendidikan * Kelompok pengamatan Suku bangsa * Kelompok pengamatan Jenis kelamin bayi * Kelompok pengamatan % 0.0% % % 0.0% % % 0.0% % Tingkat pendidikan * Kelompok pengamatan Crosstab Kelompok pengamatan Normal Prematur Total Tingkat pendidikan SD Count Expected Count % within Tingkat pendidikan 80.0% 20.0% 100.0% % within Kelompok pengamatan 14.3% 5.9% 11.1% % of Total 8.9% 2.2% 11.1% SLTP Count Expected Count % within Tingkat pendidikan 61.5% 38.5% 100.0% % within Kelompok pengamatan 28.6% 29.4% 28.9% % of Total 17.8% 11.1% 28.9% SLTA Count Expected Count % within Tingkat pendidikan 60.9% 39.1% 100.0% % within Kelompok pengamatan 50.0% 52.9% 51.1%

19 19 % of Total 31.1% 20.0% 51.1% Sarjana Count Expected Count % within Tingkat pendidikan 50.0% 50.0% 100.0% % within Kelompok pengamatan 7.1% 11.8% 8.9% % of Total 4.4% 4.4% 8.9% Total Count Expected Count % within Tingkat pendidikan 62.2% 37.8% 100.0% % within Kelompok pengamatan 100.0% 100.0% 100.0% % of Total 62.2% 37.8% 100.0% Chi-Square Tests Value df Asymp. Sig. (2- sided) Pearson Chi-Square.947 a Likelihood Ratio Linear-by-Linear Association N of Valid Cases 45 a. 5 cells (62,5%) have expected count less than 5. The minimum expected count is 1,51. Suku bangsa * Kelompok pengamatan Crosstab Kelompok pengamatan Normal Prematur Total Suku bangsa Jawa Count

20 20 Expected Count % within Suku bangsa 68.8% 31.3% 100.0% % within Kelompok pengamatan 39.3% 29.4% 35.6% % of Total 24.4% 11.1% 35.6% Batak Count Expected Count % within Suku bangsa 57.1% 42.9% 100.0% % within Kelompok pengamatan 28.6% 35.3% 31.1% % of Total 17.8% 13.3% 31.1% Melayu Count Expected Count % within Suku bangsa 50.0% 50.0% 100.0% % within Kelompok pengamatan 10.7% 17.6% 13.3% % of Total 6.7% 6.7% 13.3% Banjar Count Expected Count % within Suku bangsa.0% 100.0% 100.0% % within Kelompok pengamatan.0% 5.9% 2.2% % of Total.0% 2.2% 2.2% Mandailing Count Expected Count % within Suku bangsa 50.0% 50.0% 100.0% % within Kelompok pengamatan 3.6% 5.9% 4.4% % of Total 2.2% 2.2% 4.4% Banten Count Expected Count % within Suku bangsa 100.0%.0% 100.0% % within Kelompok pengamatan 3.6%.0% 2.2% % of Total 2.2%.0% 2.2%

21 21 Padang Count Expected Count % within Suku bangsa 66.7% 33.3% 100.0% % within Kelompok pengamatan 7.1% 5.9% 6.7% % of Total 4.4% 2.2% 6.7% Aceh Count Expected Count % within Suku bangsa 100.0%.0% 100.0% % within Kelompok pengamatan 7.1%.0% 4.4% % of Total 4.4%.0% 4.4% Total Count Expected Count % within Suku bangsa 62.2% 37.8% 100.0% % within Kelompok pengamatan 100.0% 100.0% 100.0% % of Total 62.2% 37.8% 100.0% Chi-Square Tests Value df Asymp. Sig. (2- sided) Pearson Chi-Square a Likelihood Ratio Linear-by-Linear Association N of Valid Cases 45 a. 12 cells (75,0%) have expected count less than 5. The minimum expected count is,38. Jenis kelamin bayi * Kelompok pengamatan

22 22 Crosstab Kelompok pengamatan Normal Prematur Total Jenis kelamin bayi 1 Count Expected Count % within Jenis kelamin bayi 61.5% 38.5% 100.0% % within Kelompok pengamatan 57.1% 58.8% 57.8% % of Total 35.6% 22.2% 57.8% 2 Count Expected Count % within Jenis kelamin bayi 63.2% 36.8% 100.0% % within Kelompok pengamatan 42.9% 41.2% 42.2% % of Total 26.7% 15.6% 42.2% Total Count Expected Count % within Jenis kelamin bayi 62.2% 37.8% 100.0% % within Kelompok pengamatan 100.0% 100.0% 100.0% % of Total 62.2% 37.8% 100.0% Chi-Square Tests Asymp. Sig. (2- Value df sided) Exact Sig. (2-sided) Exact Sig. (1-sided) Pearson Chi-Square.012 a Continuity Correction b Likelihood Ratio Fisher's Exact Test Linear-by-Linear Association N of Valid Cases 45 a. 0 cells (,0%) have expected count less than 5. The minimum expected count is 7,18.

23 23 Chi-Square Tests Asymp. Sig. (2- Value df sided) Exact Sig. (2-sided) Exact Sig. (1-sided) Pearson Chi-Square.012 a Continuity Correction b Likelihood Ratio Fisher's Exact Test Linear-by-Linear Association N of Valid Cases 45 a. 0 cells (,0%) have expected count less than 5. The minimum expected count is 7,18. b. Computed only for a 2x2 table

24 24 CROSSTABS /TABLES=perio ig ippd id ik ks cpitn ohis BY klp /FORMAT=AVALUE TABLES /STATISTICS=CHISQ /CELLS=COUNT EXPECTED ROW COLUMN TOTAL /COUNT ROUND CELL. CROSSTABS /TABLES=perio ig ippd id ik ks cpitn ohis BY klp /FORMAT=AVALUE TABLES /STATISTICS=CHISQ GAMMA /CELLS=COUNT EXPECTED ROW COLUMN TOTAL /COUNT ROUND CELL. Crosstabs Notes Output Created 09-Feb :25:04 Comments Input Data C:\Documents and Settings\Xp\Desktop\DATA GABUNGAN KM.sav Active Dataset Filter Weight Split File DataSet1 <none> <none> <none> N of Rows in Working Data File 45 Missing Value Handling Definition of Missing User-defined missing values are treated as missing. Cases Used Statistics for each table are based on all the cases with valid data in the specified range(s) for all variables in each table.

25 25 Syntax CROSSTABS /TABLES=perio ig ippd id ik ks cpitn ohis BY klp /FORMAT=AVALUE TABLES /STATISTICS=CHISQ GAMMA /CELLS=COUNT EXPECTED ROW COLUMN TOTAL /COUNT ROUND CELL. Resources Processor Time 0:00: Elapsed Time 0:00: Dimensions Requested 2 Cells Available [DataSet1] C:\Documents and Settings\Xp\Desktop\DATA GABUNGAN KM.sav Case Processing Summary Cases Valid Missing Total N Percent N Percent N Percent Periodonitis * Kelahiran bayi % 0.0% % Kriteria IG * Kelahiran bayi % 0.0% % IPPD * Kelahiran bayi % 0.0% % Indeks Debris * Kelahiran bayi Indeks Kalkulus * Kelahiran bayi Kedalaman Saku * Kelahiran bayi % 0.0% % % 0.0% % % 0.0% % CPITN * Kelahiran bayi % 0.0% % OHIS * Kelahiran bayi % 0.0% %

26 26 Periodonitis * Kelahiran bayi Crosstab Kelahiran bayi Normal Prematur Total Periodonitis Periodontitis Count Expected Count % within Periodonitis 61.0% 39.0% 100.0% % within Kelahiran bayi 89.3% 94.1% 91.1% % of Total 55.6% 35.6% 91.1% Tidak Periodontitis Count Expected Count % within Periodonitis 75.0% 25.0% 100.0% % within Kelahiran bayi 10.7% 5.9% 8.9% % of Total 6.7% 2.2% 8.9% Total Count Expected Count % within Periodonitis 62.2% 37.8% 100.0% % within Kelahiran bayi 100.0% 100.0% 100.0% % of Total 62.2% 37.8% 100.0% Chi-Square Tests Asymp. Sig. (2- Exact Sig. (2- Exact Sig. (1- Value df sided) sided) sided) Pearson Chi-Square.305 a Continuity Correction b Likelihood Ratio Fisher's Exact Test

27 27 Linear-by-Linear Association N of Valid Cases 45 a. 2 cells (50.0%) have expected count less than 5. The minimum expected count is b. Computed only for a 2x2 table Symmetric Measures Value Asymp. Std. Error a Approx. T b Approx. Sig. Ordinal by Ordinal Gamma N of Valid Cases 45 a. Not assuming the null hypothesis. b. Using the asymptotic standard error assuming the null hypothesis. Kriteria IG * Kelahiran bayi Crosstab Kelahiran bayi Normal Prematur Total Kriteria IG Ringan Count Expected Count % within Kriteria IG 88.5% 11.5% 100.0% % within Kelahiran bayi 82.1% 17.6% 57.8% % of Total 51.1% 6.7% 57.8% Sedang Count Expected Count % within Kriteria IG 29.4% 70.6% 100.0% % within Kelahiran bayi 17.9% 70.6% 37.8% % of Total 11.1% 26.7% 37.8%

28 28 Parah Count Expected Count % within Kriteria IG.0% 100.0% 100.0% % within Kelahiran bayi.0% 11.8% 4.4% % of Total.0% 4.4% 4.4% Total Count Expected Count % within Kriteria IG 62.2% 37.8% 100.0% % within Kelahiran bayi 100.0% 100.0% 100.0% % of Total 62.2% 37.8% 100.0% Chi-Square Tests Value df Asymp. Sig. (2- sided) Pearson Chi-Square a Likelihood Ratio Linear-by-Linear Association N of Valid Cases 45 a. 2 cells (33.3%) have expected count less than 5. The minimum expected count is.76. Symmetric Measures Value Asymp. Std. Error a Approx. T b Approx. Sig. Ordinal by Ordinal Gamma N of Valid Cases 45 a. Not assuming the null hypothesis. b. Using the asymptotic standard error assuming the null hypothesis.

29 29 IPPD * Kelahiran bayi Crosstab Kelahiran bayi Normal Prematur Total IPPD Ringan Count Expected Count % within IPPD 78.8% 21.2% 100.0% % within Kelahiran bayi 92.9% 41.2% 73.3% % of Total 57.8% 15.6% 73.3% Sedang Count Expected Count % within IPPD 16.7% 83.3% 100.0% % within Kelahiran bayi 7.1% 58.8% 26.7% % of Total 4.4% 22.2% 26.7% Total Count Expected Count % within IPPD 62.2% 37.8% 100.0% % within Kelahiran bayi 100.0% 100.0% 100.0% % of Total 62.2% 37.8% 100.0% Chi-Square Tests Asymp. Sig. (2- Exact Sig. (2- Exact Sig. (1- Value df sided) sided) sided) Pearson Chi-Square a Continuity Correction b Likelihood Ratio Fisher's Exact Test

30 30 Linear-by-Linear Association N of Valid Cases 45 a. 1 cells (25.0%) have expected count less than 5. The minimum expected count is b. Computed only for a 2x2 table Symmetric Measures Value Asymp. Std. Error a Approx. T b Approx. Sig. Ordinal by Ordinal Gamma N of Valid Cases 45 a. Not assuming the null hypothesis. b. Using the asymptotic standard error assuming the null hypothesis. Indeks Debris * Kelahiran bayi Crosstab Kelahiran bayi Normal Prematur Total Indeks Debris Sedang Count Expected Count % within Indeks Debris 68.4% 31.6% 100.0% % within Kelahiran bayi 92.9% 70.6% 84.4% % of Total 57.8% 26.7% 84.4% Parah Count Expected Count % within Indeks Debris 28.6% 71.4% 100.0% % within Kelahiran bayi 7.1% 29.4% 15.6% % of Total 4.4% 11.1% 15.6%

31 31 Total Count Expected Count % within Indeks Debris 62.2% 37.8% 100.0% % within Kelahiran bayi 100.0% 100.0% 100.0% % of Total 62.2% 37.8% 100.0% Chi-Square Tests Asymp. Sig. (2- Exact Sig. (2- Exact Sig. (1- Value df sided) sided) sided) Pearson Chi-Square a Continuity Correction b Likelihood Ratio Fisher's Exact Test Linear-by-Linear Association N of Valid Cases 45 a. 2 cells (50.0%) have expected count less than 5. The minimum expected count is b. Computed only for a 2x2 table Symmetric Measures Value Asymp. Std. Error a Approx. T b Approx. Sig. Ordinal by Ordinal Gamma N of Valid Cases 45 a. Not assuming the null hypothesis. b. Using the asymptotic standard error assuming the null hypothesis. Indeks Kalkulus * Kelahiran bayi

32 32 Crosstab Kelahiran bayi Normal Prematur Total Indeks Kalkulus Ringan Count Expected Count % within Indeks Kalkulus 90.0% 10.0% 100.0% % within Kelahiran bayi 32.1% 5.9% 22.2% % of Total 20.0% 2.2% 22.2% Sedang Count Expected Count % within Indeks Kalkulus 65.5% 34.5% 100.0% % within Kelahiran bayi 67.9% 58.8% 64.4% % of Total 42.2% 22.2% 64.4% Parah Count Expected Count % within Indeks Kalkulus.0% 100.0% 100.0% % within Kelahiran bayi.0% 35.3% 13.3% % of Total.0% 13.3% 13.3% Total Count Expected Count % within Indeks Kalkulus 62.2% 37.8% 100.0% % within Kelahiran bayi 100.0% 100.0% 100.0% % of Total 62.2% 37.8% 100.0% Chi-Square Tests Value df Asymp. Sig. (2- sided) Pearson Chi-Square a Likelihood Ratio

33 33 Linear-by-Linear Association N of Valid Cases 45 a. 3 cells (50.0%) have expected count less than 5. The minimum expected count is Symmetric Measures Value Asymp. Std. Error a Approx. T b Approx. Sig. Ordinal by Ordinal Gamma N of Valid Cases 45 a. Not assuming the null hypothesis. b. Using the asymptotic standard error assuming the null hypothesis. Kedalaman Saku * Kelahiran bayi Crosstab Kelahiran bayi Normal Prematur Total Kedalaman Saku Ringan Count Expected Count % within Kedalaman Saku 62.2% 37.8% 100.0% % within Kelahiran bayi 100.0% 100.0% 100.0% % of Total 62.2% 37.8% 100.0% Total Count Expected Count % within Kedalaman Saku 62.2% 37.8% 100.0% % within Kelahiran bayi 100.0% 100.0% 100.0% % of Total 62.2% 37.8% 100.0%

34 34 Chi-Square Tests Value Pearson Chi-Square. a N of Valid Cases 45 a. No statistics are computed because Kedalaman Saku is a constant. Symmetric Measures Value Ordinal by Ordinal Gamma. a N of Valid Cases 45 a. No statistics are computed because Kedalaman Saku is a constant. CPITN * Kelahiran bayi Crosstab Kelahiran bayi Normal Prematur Total CPITN 0 Count Expected Count % within CPITN.0% 100.0% 100.0% % within Kelahiran bayi.0% 5.9% 2.2% % of Total.0% 2.2% 2.2% 1 Count 1 0 1

35 35 Expected Count % within CPITN 100.0%.0% 100.0% % within Kelahiran bayi 3.6%.0% 2.2% % of Total 2.2%.0% 2.2% 2 Count Expected Count % within CPITN 82.6% 17.4% 100.0% % within Kelahiran bayi 67.9% 23.5% 51.1% % of Total 42.2% 8.9% 51.1% 3 Count Expected Count % within CPITN 40.0% 60.0% 100.0% % within Kelahiran bayi 28.6% 70.6% 44.4% % of Total 17.8% 26.7% 44.4% Total Count Expected Count % within CPITN 62.2% 37.8% 100.0% % within Kelahiran bayi 100.0% 100.0% 100.0% % of Total 62.2% 37.8% 100.0% Chi-Square Tests Value df Asymp. Sig. (2- sided) Pearson Chi-Square a Likelihood Ratio Linear-by-Linear Association N of Valid Cases 45 a. 4 cells (50.0%) have expected count less than 5. The minimum expected count is.38.

36 36 Symmetric Measures Value Asymp. Std. Error a Approx. T b Approx. Sig. Ordinal by Ordinal Gamma N of Valid Cases 45 a. Not assuming the null hypothesis. b. Using the asymptotic standard error assuming the null hypothesis. OHIS * Kelahiran bayi Crosstab Kelahiran bayi Normal Prematur Total OHIS Ringan Count Expected Count % within OHIS 66.7% 33.3% 100.0% % within Kelahiran bayi 7.1% 5.9% 6.7% % of Total 4.4% 2.2% 6.7% Sedang Count Expected Count % within OHIS 80.0% 20.0% 100.0% % within Kelahiran bayi 71.4% 29.4% 55.6% % of Total 44.4% 11.1% 55.6% Parah Count Expected Count % within OHIS 35.3% 64.7% 100.0% % within Kelahiran bayi 21.4% 64.7% 37.8%

37 37 % of Total 13.3% 24.4% 37.8% Total Count Expected Count % within OHIS 62.2% 37.8% 100.0% % within Kelahiran bayi 100.0% 100.0% 100.0% % of Total 62.2% 37.8% 100.0% Chi-Square Tests Value df Asymp. Sig. (2- sided) Pearson Chi-Square a Likelihood Ratio Linear-by-Linear Association N of Valid Cases 45 a. 2 cells (33.3%) have expected count less than 5. The minimum expected count is Symmetric Measures Value Asymp. Std. Error a Approx. T b Approx. Sig. Ordinal by Ordinal Gamma N of Valid Cases 45 a. Not assuming the null hypothesis. b. Using the asymptotic standard error assuming the null hypothesis. CROSSTABS /TABLES=kp BY klp /FORMAT=AVALUE TABLES /STATISTICS=CHISQ GAMMA /CELLS=COUNT EXPECTED ROW COLUMN TOTAL /COUNT ROUND CELL.

38 38 Crosstabs Notes Output Created 09-Feb :51:04 Comments Input Data C:\Documents and Settings\Xp\Desktop\DATA GABUNGAN KM.sav Active Dataset Filter Weight Split File DataSet1 <none> <none> <none> N of Rows in Working Data File 45 Missing Value Handling Definition of Missing User-defined missing values are treated as missing. Cases Used Syntax Statistics for each table are based on all the cases with valid data in the specified range(s) for all variables in each table. CROSSTABS /TABLES=kp BY klp /FORMAT=AVALUE TABLES /STATISTICS=CHISQ GAMMA /CELLS=COUNT EXPECTED ROW COLUMN TOTAL /COUNT ROUND CELL. Resources Processor Time 0:00: Elapsed Time 0:00: Dimensions Requested 2 Cells Available [DataSet1] C:\Documents and Settings\Xp\Desktop\DATA GABUNGAN KM.sav

39 39 Case Processing Summary Cases Valid Missing Total N Percent N Percent N Percent Kehilangan Perlekatan * Kelahiran bayi % 0.0% % Kehilangan Perlekatan * Kelahiran bayi Crosstabulation Kelahiran bayi Normal Prematur Kehilangan Perlekatan tidak ada kehilangan perlekatan Count 3 1 Expected Count % within Kehilangan Perlekatan 75.0% 25.0% % within Kelahiran bayi 10.7% 5.9% % of Total 6.7% 2.2% ringan Count 23 8 Expected Count % within Kehilangan Perlekatan 74.2% 25.8% % within Kelahiran bayi 82.1% 47.1% % of Total 51.1% 17.8% sedang Count 2 8 Expected Count % within Kehilangan Perlekatan 20.0% 80.0% % within Kelahiran bayi 7.1% 47.1%

40 40 % of Total 4.4% 17.8% Total Count Expected Count % within Kehilangan Perlekatan 62.2% 37.8% % within Kelahiran bayi 100.0% 100.0% % of Total 62.2% 37.8% Kehilangan Perlekatan * Kelahiran bayi Crosstabulation Total Kehilangan Perlekatan tidak ada kehilangan perlekatan Count 4 Expected Count 4.0 % within Kehilangan Perlekatan 100.0% % within Kelahiran bayi 8.9% % of Total 8.9% ringan Count 31 Expected Count 31.0 % within Kehilangan Perlekatan 100.0% % within Kelahiran bayi 68.9% % of Total 68.9% sedang Count 10 Expected Count 10.0 % within Kehilangan Perlekatan 100.0% % within Kelahiran bayi 22.2% % of Total 22.2% Total Count 45 Expected Count 45.0