Perangkat Lunak Prediktor Karies Anak Berdasarkan Faktor Anak, Perilaku Ibu, dan UKGS
Quroti A'yun(1*), Diyah Fatmasari(2), Julita Hendrartini(3)
(1) Politeknik Kesehatan Kemenkes Yogyakarta, Yogyakarta, Indonesia
(2) Politeknik Kesehatan Kemenkes Semarang, Jawa Tengah, Indonesia
(3) Bagian Ilmu Kedokteran Gigi Pencegahan dan Ilmu Kesehatan Gigi Masyarakat, Fakultas Kedokteran Gigi, Universitas Gadjah Mada, Yogyakarta, Indonesia
(*) Corresponding Author
Abstract
Karies adalah penyakit yang disebabkan oleh faktor langsung dan tidak langsung. Saat ini baru ada alat yang dipakai untuk mengukur risiko karies secara langsung. Berdasarkan faktor penyebab tersebut maka perlu disusun alat prediksi karies baru, yang mengukur faktor langsung dan tidak langsung. Tujuan penelitian ini adalah untuk menyusun alat
Prediktor Karies Anak (PKA) dan melakukan uji validitas. Jenis penelitian ini adalah cross-sectional analitic. Penelitian dilakukan melalui empat tahap, yakni: definisi persyaratan, perancangan sistem dan perangkat lunak, dan implementasi serta pengujian unit. Penyusunan perangkat lunak berdasarkan risiko karies pada 430 anak SD usia 10 - 12 dan
orangtuanya. Uji validitas perangkat lunak dilakukan dengan membandingkan 42 hasil pengukuran antara PKA dengan
Microsoft Excel. Pada tahap definisi persyaratan, diperoleh faktor risiko karies yang meliputi pH saliva, banyaknya plak, pengalaman karies, pemanfatan pelayanan kesehatan gigi, perilaku ibu dalam memilih makanan, pengetahuan anak tentang kesehatan gigi dan mulut, perilaku anak dalam memelihara kesehatan gigi, perilaku anak dalam kebiasaan
makan, dan pelaksanaan UKGS oleh guru. Tahap perancangan sistem dan perangkat lunak, menggunakan bobot faktor risiko sehingga diperoleh persamaan risiko terjadinya karies baru: P=1/[1+2.7 (-2,335 + 0,658X1 + 0,868X2 + 1,398X3 + 0,629X4 + 0,516X5 + 0,745X6 + 0,743X7 + 1,199X8 + 0,613x9)]. Hasil uji menunjukkan tidak ada perbedaan antara hasil pengukuran risiko karies antara PKA dan
penghitungan dengan Microsoft Excel (p > 0,05). Penelitian ini telah menghasilkan perangkat lunak PKA dan hasil uji telah valid.
Software of Prediktor Karies Anak Based on Child Factor, Mother’s Behavior, and Environment. Caries is caused by direct and indirect factors. Recently, there is only a tool to measure direct factor of caries risk on school age children. Therefore, a new tool for caries prediction needs to be developed, which involves measurement for both direct and indirect factors. The study objective is to develop Prediktor Karies Anak (PDA) and to determine its validity. The research design was cross-sectional analytic. This study was conducted in four stages: pre-requirement definitions, design of system and software, implementation and unit test. The software was developed based on caries risk factors of 430 students aged 10 - 12 years and their parents. The validity of the Software was tested by comparing 42 outputs of Prediktor Karies Anak with Microsoft Excel. On the Pre-requirement definitions stage, caries risk factors were determined as pH saliva, plaque quantity, caries experiences, utilization of dental health care, mother’s behaviour in food selection, children’s knowledge on dental health, children’s behaviour on dental health maintenance, children’s behaviour on food habit, and UKGS implementation by teachers. The weighting factor formula to predict the risk of new caries in the design of systems and software was: P=1/[1+2.7(-2,335 + 0,658X1 + 0,868X2 + 1,398X3 + 0,629X4 + 0,516X5 + 0,745X6 + 0,743X7 + 1,199X8 + 0,613x9)]]. There were no differences on risk caries between Prediktor Karies Anak and Microsoft
Excel (p > 0,05). This study had produced the software of Prediktor Karies Anak and the test result was valid.
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Petersen PE. Sociobehavioural risk factors in dental caries-international perspectives, Community Dent Oral Epidemiol. 2005; 33: H. 274-9
Fontana M, Zero DT. Assessing patien’s caries risk, Journal America Dental Association. 2006; 137(9):1231-9.
Aleksejunine J, Holst D, Bruikiene V. Dental Caries Risk Rivisited: causal Approaches Needed for Future Inquiries, Int J Environ Res Public health. 2009; 6(12): 2992-3009.
Twetman S, Fontana M. Patient caries risk assessment. Monogr Oral Sci. 2009. 21:91-101.
Bratthall. D Petersson GH, Stjernsward JR. 2004 Cariogram Manual. Internet version 2.01. http:// www. db.od.mah.se/car/cariogram/cariograminf and cheo.H’tml. Diunduh 23 Maret 2011.
Adyatmaka I. Model Simulator risiko karies Gigi pada Anak Prasekolah. Disertasi. Program Doktor Ilmu Kedokteran Gigi, Universitas Indonesia, Jakarta. 2008. H.131-132.
Fisher-Owen SA, Gansky SA, Platt LJ, Weintraub JA, Soobader MJ, Bramlett MD. Newacheck PW, 2007, Influences on Children’s Oral Health: Conceptual Model, American Academy Pediatrics, htpp://pediatrics. Aapublication.org/conten/120/3/e510.full.html. Diunduh 10 Januari 2012.
A’yun Q, Hendrartini J, Santoso Al.S, Nugroho LE. Pediction about the Incidence of caries in children base on children’s bahavior, parent’s and environment, Sciences The Indonesian journal of Dental Research, Proceeding of The International Symposium on Oral and Dental. Yogyakarta, July 2013. H.149-155.
Pressman RS. Rekayasa Perangkat Lunak, Penerbit Andi, Yogyakarta, Indonesia. 2002; H. 27-38.
Somerville I. Software Enginering (terj), Erlangga, Jakarta, Indonesia. 2003; H. 40-44
McDonald R, Avery DR, Stookey, GK. Dentistry for Child and Adolescent, 8th Edition, Mosby, Inc, St. Louis, Missouri, United State of America. 2004. H. 741 - 749.
Gagliardi L. Dental Health Education: Lesson planning, and impletation, Printed in the United States of America. 1999. H. 19 -21.
Budiharto. Pengantar ilmu perilaku kesehatan dan pendidikan kesehatan gigi, EGC, Jakarta, Indonesia. 2010; H.1-5.
Rizky S. Konsep Dasar Rekayasa Perangkat Lunak, Prestasi Pustaka, Jakarta, Indonesia. 2012; H.235-239.
DOI: https://doi.org/10.22146/majkedgiind.8995
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