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Iron (Fe) tablets are mineral tablets that the body uses to make red blood cells and hemoglobin. For red blood cell production, Fe is the most significant element. Food is a natural source of iron. Nutritional anemia can develop in pregnant women if they don't get enough iron in their diet (blood deficiency). Pregnant women need iron (Fe) tablets, so they must consume at least 90 Fe tablets during pregnancy. The aim of the research was to determine the relationship between consumption of Fe tablets and the incidence of anemia at the Penrang Community Health Center, Wajo Regency. The type of research used was a cross sectional study. The samples were 72 pregnant women who underwent pregnancy checks at the Penrang Community Health Center, Wajo Regency, using a random sampling technique. The research results showed a relationship between consumption of Fe tablets and the incidence of anemia at the Penrang Health Center, Wajo Regency, where the p value = 0.000 < ? = 0.05. The conclusion is that there is a relationship between the consumption of Fe tablets and the incidence of anemia at the Penrang Community Health Center, Wajo Regency.

Infant health can be known one of them through the assessment of nutritional status. In general, Body Mass Index (BMI) has been used as a method for measuring the nutritional status of children. If there are two children who have same body weight and height, they may have different nutritional status. Whenever this occurs, the use of BMI for measuring the nutritional status shall be deemed less accurate. The anthropometry will be vital in measuring the nutritional statuss. The guidelines for determining the nutritional status Anthropometry parameters are selected and recommended which includes an assessment of the age, weight, body length or height. This research aims to build a model of C4.5 adaboost so it can recognize patterns and be able to classify the nutritional status of children into five classes: normal, fat, very fat, thin and very thin. The variables used in this classification is Gender, Age (Months), Weight (kg) Height (cm). C4.5 (decision tree) Method has a good performance in dealing with the classification of nutritional status but the C4.5 has a weakness in the class imbalance. Adaboost isone ofboosting methods that could reduce imbalances class by giving weight to the level of classification error which may alter the distribution of data. Experiments carried out by applying the adaboost method C4.5 to obtain optimal results and a good degree of accuracy. The experimental results obtained from C4.5 method show that accuracy is 89.53%, the error rate is 10.47%, while the results of C4.5 with adaboost show 90.23% accuracy and 9.77% error rate. It can be concluded in the classification of nutritional status of children with C4.5 and adaboost proven method to solve problems of class imbalance and improve the high accuracy and can reduce the level of classification error.

The increase in Life Expectancy (UHH) has an impact on the increase in the elderly population and the problems due to aging. One of them is the system for regulating blood sugar levels which is disrupted due to changes in the body composition of the elderly in the form of increased fat composition from the body 14% to 30%. Efforts to prevent the incidence of Diabetes Mellitus is to achieve good nutritional status with anthropometric measurements, namely the division of body weight in kg with height in meters squared expressed in body mass index or BMI. This study aims to analyze the relationship between BMI and blood sugar levels in the elderly at the Sabar Narimo Posyandu, Lempuyangan Hamlet, Gebugan Village, Bergas District, Semarang Regency. The research design used was descriptive observational with a cross sectional approach. The number of samples was 40 elderly who were taken by purposive sampling technique. The instrument used to measure BMI is a digital weight scale, and a microtoise that has been calibrated, while blood sugar levels are measured using a glucometer. Data were analyzed by Pearson Corellation test. The results of this study indicate the frequency distribution of blood sugar levels in the elderly at the Posyandu Sabar Narimo on average 139.92 mg/dl and an average BMI of 25.24 kg/m2. The results showed that BMI was related to the variable of blood sugar levels with a correlation coefficient (r) of 0.614 and a significance value (?) of 0.0234 then there is a relationship. The conclusion in this study is that there is a relationship between blood sugar and BMI in the elderly at the Sabar Narimo Posyandu, Lempuyangan Hamlet, Gebugan Village, Bergas District, Semarang Regency.