Judul: Sistem Prediksi Status Gizi Balita dengan Menggunakan Support Vector Regression
Abstrak: Children under five years are the most vulnerable age group in terms of nutrition and health in a community. Nutritional problems often occur at the age of five, but the diagnosis of malnutrition is still done by directly measuring nutrition indicators such as weight, height or biochemical markers of some nutrients. With the technological advances in computing and statistical data processing program, the available non-nutritional data can be used to predict the nutritional status of children. The objective of this study was to investigate the use of support vector regression (SVR) as a machine-learning method to find models that can predict the nutritional status of children and to develop prediction system from the SVR models. The best model was produced by RBF kernel, with the highest degree of correlation and the lowest error in each type of Z-score predicted. With the best SVR model, a system that can predict Z-score can be developed, although it is not quite accurate.
Keyword: children, machine-learning, nutrition, prediction, SVR

Judul: Analisis hubungan penerapan gizi seimbang keluarga dan perilaku keluarga sadar gizi dengan status gizi balita di Provinsi Kalimantan Barat
Abstrak: The present study aims to analyze relationship between the implementation of balanced nutrition messages of family and behavior family nutrition awareness with under five years child nutritional status in West Kalimantan Province. The method used in this study was an observational study with cross sectional design. Samples were households with children aged 6-59 months who were taken from the Health Research Data Base (Riskesdas) in year 2007. The sampling method used was a two stage sampling, each with the number of households using probability proportional to size and simple random sampling. A total of 1 992 households was use in the study. Weight for height, weight for age and height for age index were used to measure under five years child nutritional status. Chi-square test and multiple logistic regression were used to analyze relationship of each variable. The results showed that the West Kalimantan Province had acute-chronic problem of malnutrition, indicated by the high prevalence of nutritional status of wasting reached 17.0% (> 5%), stunting at 43.4% (> 20% ) and underweigh for 24.1% (> 10%). There was a significant correlation (?< 0.05) between infection, maternal education and environmental health with the nutritional status of children in the index of weight for age. Energy consumption, maternal education, environmental health and behavior family nutrition awareness have significant relationship with nutritional status of children on the index height for age. Three messages did not meet criteria as required by the Indonesian Food Guidelines. They were eat food with energy needs requaired, eat half of food sources of carbohydrate for energy needs and eating one of fourth of food sources of fat for energy needs. Logistic multiple regression analysis showed that failure to follow the the Family Nutrition Awareness had 1.21 risk for children to became stunting than family to follow to guideline properly. In conclusion, socialization and development of Indonesia Food Guidelines in West Kalimantan Province is still needed. The messages delivery modes should be more effective ans easy understood by society, especially for the toddler’s mother.
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Judul: Ciri kimiawi asam resin kopal  Agathis loranthifolia
Abstrak: Copal is originated from exudate of Agathis loranthifolia trees, which flows out from the tapping. Indonesian copal includes manila copal, is divided into four groups among others: bua, loba, melengket and Pontianak copal. Research of resin acid from copal has not been widely studied. Therefore, purpose of this study is to identify resin acids of copal from Sukabumi and Ternate area. Extraction was done using acetone:MeOH (9:1) solvent, followed by fractionation using some solvents, i.e. n-hexane, ethylacetate, H2 O, and acetone:MeOH (9:1). Identification was done using gas chromatography-mass spectrometer (GCMS). The quality of copal was evaluated based on SNI 7634-2011. Resin acids copal from Sukabumi identified by GCMS are 44% limonene, ethylene oxide hexamer, cis-limonene oxide, toluene, trans-carveol, 2-siclohexane-1-one, trans-limonene oxide, and alpha pinene. Copal from Ternate are 37% limonene, ethylene oxide hexamer, preludin, toluene, carveol 1, 2-siclohexane-1-one, acetat acid, hexaethylen glycol, champhen, and trans-limonene oxide. However, fractionation of the copal converted resin acids to 100% carvone. These results suggest that limonene are easily oxidized to carvone. Properties of manila copal from Sukabumi and Ternate fall to the first class, and are possible to be improved to the premium class by removing some dirt compount.
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