Judul: Faktor Pola Makan yang Berkaitan dengan Kadar Selenium dalam Tubuh Wanita Usia Subur
Abstrak: Kelompok wan ita usia subur yang bekerja merupakan salah satu kelompok yang sangat rentan mengalami defisiensi selenium. Karena mereka selain bekcrja di rumah juga turut bekerja di luar rumah, terutama yang bekcrja di ruang terbatas yang memungkinkan mereka terpapar stres oksidatif. Sires oksidatif dapat dicegah dan dikurangi dengan asupan antioksidan yang cukup dan optimal ke dalam tubuh. Salah satu zat antioksidan adalah selenium. Selenium tidak dapat diproduksi oleh tubuh, sehingga untuk memperolehnya manusia harus mengkonsumsi bahan makanan yang mengandung selenium. Berdasarkan kadar selenium dalam tubuh, maka status selenium seseorang dapat dibagi menjadi dua yakni normal dan defisiensi selenium. Peubah respon yang digunakan dalam penelitian ini dikategorikan menjadi dua, yakni kadar selenium dalam darahnya mengalami defisiensi atau normal. Analisis yang digunakan dalam penelitian ini adalah regresi logistik biner. Dari analisis regresi logistik biner diperoleh model logit yang dapat digunakan untuk memprediksi peluang seseorang mengalami deffsiensi selenium atau tidak berdasarkan pola makannya. Selain itu, interpretasi koefisien berdasarkan nilai rasio odd nya juga merupakan hal yang menarik untuk diamati. Peubab penjelas yang nyata pada taraf 5% adalab daging sapi, hati sapi, dan kangkung. Berdasarkan niIai rasio odd oya responden yang tidak pernah atau jarang mengkonsumsi bahan makanan tersebut lebih berpotensi mengalami defisiensi selenium. Dari tabel 2x2 diperoleh nilai sensitivitasnya sebesar 96,30% dan nilai spesifitasnya sebesar 39%, sedangkan tingkat kesalahan positifuya adalah sebesar 16,13% dan tingkat kesalahan negatifuya adalab sebesar 23,81 %. Seeara urn urn sebesar 82.95%responden telah terklasifikasikan dengan tepat.
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Judul: Faktor Risiko Status Gizi Kurang pada Wanita Usia Subur di Bogor
Abstrak: The aim of this study was to analyze the risk factors for under nutritional status of childbearing age. The design was cross-sectional study, and samples were 200 childbearing age of women in Bogor. Of these childbearing ages, a sub sample of 45 women was collected for blood analysis i.e. Haemoglobin, ferritin, serum folic acid, serum vitamin A. Data were collected on socio-economic status and other demographic parameters. Dietary intake of macro and micronutrients was collected with 2-day 24-hour dietary recall method. The Chi-square (X2) and logistic regression analysis were applied for the hypotheses testing. The results show that the highest percentage of childbearing age of woman had deficit of energy (71.5%), protein (56.5%), iron (70.0%), vitamin A (62.5%) and vitamin C (88.0%). As amount 14.0% of women were founded to be underweight and also 12.5% of women had low of mid upper arm circumference (MUAC). Chi-square test showed that education level of respondents was significant related with BMI (p=0,017), in the other hands, %RDA of energy was significant related with MUAC (p=0,009). The risk factor of underweight was education level (OR=2.569; 95% CI: 1.045-6.315) (p=0.04); and risk factor of chronic energy deficient (MUAC <23.0) was %RDA of energy (<80%) (OR=0.263; 95% CI: 0.075-0.916) (p=0.03). About 11.1%; 13.3%; 4.0% and 64.4% childbearing age women were anemia, iron depletion, iron deficient anemia and vitamin A deficient, respectively, but no women were deficient of folic acid. Chi-square test showed that there were no variables significantly related with anemia and iron deficient (p>0.05), %RDA of vitamin A was significant related with vitamin A status (p=0.005). The risk factor of vitamin A status was %RDA of vitamin A (<77%) (OR=0.136; 95% CI: 0.029-0.635) (p=0.01).
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Judul: The Solution of Nonlinear Volterra Integral Equation using Linearization Method.
Abstrak: Many natural phenomena can be explained by mathematical models. One of those models is in the form of Volterra integral equation, which is usually nonlinear. Analitically, a nonlinear form is difficult to solve. Therefore, this research is aimed to discuss solution of Volterra integral equation using linearization method. Linearization is done to nonlinear integrand with Taylor series expansion. According to this linearization, a numerical solution of Volterra integral equation is obtained using MATLAB 7.0.1 software. Validity of this method is tested by comparing the approximate with the exact solution. The result of this research shows that the numerical solution agree with the exact solution quite well.
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