Judul: Analisis Situasi Masalah Kurang Energi Kronik pada Ibu Hamil di Indonesia.
Abstrak: Improving the quality of human resources is the main pillar for development, because of the quality of human resources will determine the progress of a nation. The quality of human resources, among others, mirrored by health status, which is determined by the quality of the woman's pregnancy.In this period of pregnant women in dire need of balanced nutrition, good health and correctly in order to pass through a phase of pregnancy optimally. Pregnancy is always associated with the physiological changes that result in an increase in the volume of fluid and red blood cells and a decrease in the concentration of nutrient-binding proteins in the blood circulation, as well as a decrease in micronutrients. When a pregnant woman eating, then in fact there are two bodies that must be fulfilled the need for nutrients, the body of the mother and fetus are always growing and developing. The gestation period is a period of growth and development of the fetus toward the birth so that the nutritional disorder that occurs during pregnancy will impact the health of the mother of the fetus. Some maternal malnutrition during pregnancy include Chronic energy deficiency. Chronic energy deficiency (CED) is a condition in which women experience chronic food shortages lasting (chronic) resulting in impaired - maternal health disorders with signs or symptoms include weakness and pallor (Depkes RI 2003). Based on the results of Health Research (Riskesdas) in 2013, iron deficiency anemia is a public health problem with a prevalence among pregnant women aged 15-49 years at 24.2%. Some provinces showed higher prevalence of national, such as Central Sulawesi, Maluku, Papua and NTT with a prevalence of 45%. (Balitbangkes 2013). Indonesia proportion of the population aged 10-54 years who were pregnant in Indonesia was 2.68 percent, in urban areas (2.8%) higher than in rural areas (2.55%). Different patterns of pregnancy by age group and place of residence. Among the female population aged 10-54 years, there is a pregnancy at a very young age (<15 years), albeit with a very small proportion (0.02%), mainly in rural areas (0.03%). The proportion of pregnancies in teens (15-19 years) was 1.97 per cent, rural (2.71%) higher than in urban areas (1.28%). (Balitbangkes 2013).Specifically, this research aims as follows: (1) Identify the characteristics of pregnant women based in rural, urban and island regions (2) to analyze the prevalence of CED in pregnant women (3) analyze the relationship between the characteristics of pregnant women with CED in rural and urban areas (4) Analyze the determinant CED in pregnant women in rural and urban areas (5) analyze the relationship between the characteristics of pregnant women with CED various islands in Indonesia (6) to analyze the determinants of CED in pregnant women various islands in Indonesia. The data used in this research is secondary data from the Health Research in 2013 (Riskesdas 2013). Riskesdas is a cross-sectional survey design to describe the health problems of the Indonesian population as a whole. The population in this analysis are all pregnant women in Indonesia, which has been recorded by the Central Statistics Agency (BPS). The samples used
Keyword: Pregnant Women, Chronic Energy Deficiency, Health of women, Consumption of iron, Maternal age, Employment status

Judul: Factors Influencing Anemia and Iron Deficiency of Pregnant Women in Indonesia
Abstrak: Wanita hamil berisiko tinggi mengalami anemia, defisiensi besi (DB), dan anemia defisiensi besi (ADB). Selama kehamilan, hal itu dikaitkan dengan berat badan lahir rendah, kelahiran prematur, dan peningkatan risiko kematian perinatal. Kondisi anemia, DB, ADB, dapat diprediksi dengan menggunakan metode regresi logistik multinomial. Namun, metode klasifikasi rentan terhadap data yang tidak seimbang. Salah satu metode yang dapat digunakan untuk mengatasi masalah ketidakseimbangan data adalah Random Over Sampling (ROS). Hasil metode regresi logistik multinomial menunjukkan bahwa faktor yang memengaruhi anemia dan defisiensi besi secara signifikan adalah usia kehamilan, status gizi, riwayat penyakit malaria, pendidikan, frekuensi konsumsi buah, dan frekuensi konsumsi sayuran. Model regresi logistik multinomial memberikan akurasi klasifikasi sebesar 44,559%. Penelitian ini juga menunjukkan bahwa tingkat ketepatan klasifikasi keempat kategori lebih seimbang setelah dilakukan Random Over Sampling., Pregnant women are at high risk of anemia, iron deficiency (ID), and iron deficiency anemia (IDA). During pregnancy, it has been associated with low birth weight, premature delivery, and increased risk of perinatal mortality. Anemia, ID, IDA conditions can be predicted using multinomial logistic regression method. However, the classification method is prone to data imbalance. One method that can be used to overcome the problem of data imbalanced is Random Over Sampling (ROS). The results of multinomial logistic regression method indicated that outcome variable were significantly influanced by gestational age, nutritional status, malaria, education, frequency of fruit and vegetable consumption. Multinomial logistic regression model provided classification accuracy of 44,559%. This study also shows that the accuracy of the classification of the four categories is more balanced after Random Over Sampling.
Keyword: anemia, iron deficiency, multinomial logistic regression, pregnant women, random oversampling

Judul: The use of homotopy perturbation methode to solve fuzzy volterra  integral equations
Abstrak: Most phenomena in nature can be explained in mathematical models, such as fuzzy volterra integral equation. The fuzzy volterra integral equation is a nonlinear integral problem, which is usually dificult to solve by an analytical solution. In this paper, fuzzy volterra integral equation is solved using perturbaion homotopy method, which can be written as a power series in p and satisfies a certain homotopy fuction. This manuscript discuss two case studies, i.e. the case of linear and trigonometric kernel function. The result shows that greater approximation order being used, the wider convergence solution area wil be.
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