Nunung Nurjanah

Objectives: This study aimed to evaluate the water content and cholesterol levels in fresh and processed chicken meat from four major cities in Indonesia using various cooking methods. Materials and Methods: Four major Indonesian cities (Medan, Bandung, Surabaya, and Makassar) were the sites of a purposeful sampling of four different parts of chicken meat: whole, breast, thigh, and wing. Meat was analyzed fresh and processed (boiled, fried, steamed, baked, and grilled). Saponification and toluene extraction procedures were used, and the amount of water was determined by oven-drying at 100-105°C. To determine total cholesterol levels, gas chromatography with flame ionization detection (GC-FID) and gas chromatography-mass spectrometry (GC-MS) methods were used. The study employed a completely randomized design, ANOVA, and Duncan’s test, and SPSS version 26 software was used to perform statistical analysis at a 95% confidence level. Results: Water content and cholesterol levels of chicken meat were significantly influenced by body parts and processing methods. Fresh chicken had the highest water content, while frying caused the greatest moisture loss. Processed chicken, especially fried and baked whole and wing meat, showed higher cholesterol levels than fresh samples. Processing methods had a greater effect than differences among cities, as confirmed by ANOVA. Conclusions: The highest water content was observed in fresh chicken breasts. In fresh samples, the thigh had the highest cholesterol content, whereas the whole part had the lowest. Among the processing methods, frying resulted in the greatest reduction in water content and the highest increase in cholesterol levels. Boiling was the most effective method for minimizing cholesterol increases. Although some differences in cholesterol levels were observed between cities, the processing method had a more pronounced effect than the geographic origin.

Background: Malnutrition and micronutrient deficiencies remain significant public health burdens among Indonesian children under five years of age. This study assessed the relationship between growth indicators and micronutrient status of children aged 0–59 months. Methods: A cross-sectional design was performed, utilizing the 2018 Indonesian Basic Health Research (Riskesdas) data and biological specimens, including 550 samples from children aged between 0 and 59 months old. The Riskesdas data used in this study were demographic characteristics, anthropometric measurements, and nutritional status. The biological samples were used to measure micronutrients (iron, zinc, calcium, vitamin A (VA), and vitamin D (VD). Results: Overall, 23.1% of children were stunted, and 10.5% were wasted. This study also revealed that the prevalence of micronutrient deficiency was 34.2%, 38.7%, 8.2%, 7.8%, and 0.4% for ferritin, zinc, calcium, VA, and VD, respectively. Moreover, wasting was significantly higher in girls (13.5%) than in boys (8.2%, p = 0.044). Stunted children had significantly lower ferritin values, while wasted children had lower VA concentrations. In contrast, VD was lower in overweight children. Lastly, this study found that height for age Z-scores (HAZ score) and Body Mass Index (BMI) for age Z-scores (BAZ score) correlated positively with ferritin, zinc, and calcium levels. Conclusions: Stunting, wasting, and multiple micronutrient deficiencies remain prevalent among Indonesian children under five years of age. Strengthening nutrition interventions, in particular for iron, zinc, VA, and VD, is essential to improve child growth and health outcomes in this population.

Background: Vitamin D supplementation to prevent Metabolic Syndrome (MetS) has been widely implemented in developed countries and is now being introduced in developing countries. However, recent studies have shown no association between vitamin D and MetS in adults. Objectives: This study aims to obtain a profile of vitamin D values ​​in adults and explore vitamin D status in MetS patients, MetS components, and healthy adults. Methods: This research design was a cross-sectional study, utilizing both secondary and primary data from the research on the Risk Factors for Non-Communicable Diseases (RF-NCD) longitudinal study in 2021. Serum 25(OH)D levels in 956 adult respondents were determined by Enzyme-linked Immune Assay (ELISA) analysis using Stored Biological Material (SBM) serum from the 2021 RF-NCD longitudinal study. The ANOVA test was used to determine differences in vitamin D levels in various physiological conditions of respondents (MetS, MetS components, and healthy people). Results: A total of 68.5% of respondents had inadequate (deficiency and insufficiency) serum vitamin D levels, with an average of 26.5 ng/mL. The average vitamin D levels between MetS patients, MetS components, and healthy people were not significantly different (p-value>0.05). However, the number or percentage of respondents with 25(OH)D deficiency in the MetS group (12.1%) was higher than other physiological conditions. Conclusions: Most of the respondents in this study have inadequate vitamin D levels. The average vitamin D levels did not differ between physiological conditions. Further studies are needed on other micronutrient factors that affect the incidence of MetS and its components.

The prevalence of communicable diseases in Indonesia is still high and causes morbidity and mortality in several Indonesian provinces. This cross-sectional study classified provinces based on the prevalence of seven communicable diseases: acute respiratory infections (ARI), pneumonia, diarrhea, filariasis, malaria, hepatitis, and tuberculosis (TB). The study analyzed the 2018 Indonesian Basic Health Research data. It is essential to categorize these diseases to identify regions with low, moderate, and high prevalence and the factors that affect them to facilitate the treatment of these diseases. Grouping provinces and influenced factors were analyzed using K-means, ANOVA, and stepwise regression. The results revealed that Group 1 shows a high prevalence, except for hepatitis and diarrhea. Group 2 demonstrates a moderate prevalence, excluding hepatitis and diarrhea, while Group 3 has a low prevalence. Improved access to primary healthcare services reduced the prevalence of pneumonia and TB, while using insecticide-treated mosquito nets for less than three years increased the prevalence of ARI and pneumonia. Adequate bedroom lighting reduced the prevalence of ARI, whereas being underweight in individuals over 18 increased it. In individuals aged 16–18 with short stature, there was an increase in the prevalence of hepatitis and malaria. Regularly draining the bathtub once a week and ensuring proper bedroom ventilation reduced the incidence of diarrhea. Using improved long-lasting insecticidal nets (LLINs) for mosquitos led to a decrease in filariasis cases. Specific factors influence each communicable disease and necessitate a multisectoral approach for effective treatment.

Kombucha, a fermented tea beverage prepared with a symbiotic culture of bacteria and yeast (SCOBY) and sucrose as a carbon source, has gained popularity for its potential health benefits. This study aimed to explore the effects of fermentation on the titrable acidity, pH, and reducing sugar content of Ganoderma kombucha with honey. In this study, we used Ganoderma lucidum as a substrate since it is a widely used natural medicinal and promotes health benefits. The sucrose commonly used in kombucha production was replaced with honey to enhance the functional qualities of the final product. Honey derived from Apis cerana and Heterotrigona itama is used in this study, with a ratio of Sugar and honey as follows: 100% honey, 50%:50% honey and sugar, and 100% sugar. The highest titrable acidity was found in kombucha with A. cerana honey (50%:50% honey and sugar) after fermentation i.e. 12.98±0.09%. Both of A .cerana (Sugar and honey 50:50 %) and H.itama (100 %) have the lowest pH after fermentation, i.e. 3.01±0.02 and 3.01±0.01 respectively. The reducing sugar was decreased after the fermentation process. The findings revealed an increase in titrable acidity during the fermentation process, accompanied by decreased pH and reducing sugar values.

This study aimed to develop seaweed flour from various types of seaweed (Euchemma cottonii, Gracillaria verrucosa) with various drying methods (sun, vacuum oven, cabinet drying, drum drying) and types of fishy odor removal [solution of Ca(OH)₂and lime each 5%, 0.25% star anise, 0.33% clove powder], analyze iodine content and acceptability. Iodine content and acceptability were analyzed by ICP-OES and multiple comparison test, respectively. The results showed that the types of fishy odor removal significantly affected the organoleptic acceptance of seaweed flour with the best acceptance being 5% Ca(OH)₂solution (pEuchemma cottonii) and 564.15 mg/kg dw (Gracillaria verrucose). Seaweed flour fromGracillaria verrucosahad significantly higher iodine content thanEuchemma cottonii, 205.26 and 41.58 mg/kg dw, respectively (pGracillaria verrucosaand drum drying, respectively. Seaweed flour had the potential as an ingredient in the development of nutrient-rich products, especially iodine.

Micronutrient deficiencies (MNDs) in school-aged children are still a major health problem in Indonesia. This study was designed to examine the status of micronutrients and their relationship to the nutritional status of children aged 5–12 years since an up-to-date database on the micronutrient status of children aged 5–12 years is needed. Data from the 2018 Indonesian Basic Health Research (Riskesdas) were used in this study, with 2456 subjects for analysis. Micronutrient analysis was carried out, including iron status (ferritin, C reactive protein (CRP)), levels of zinc, vitamin D, calcium, and vitamin A (retinol) in school-aged children (5–12 years). The ELISA measurement was applied to measure CRP, ferritin, and vitamin D. Zinc levels were analysed with atomic absorbance spectroscopy (AAS). Moreover, high-performance liquid chromatography (HPLC) was applied to calculate vitamin A. In addition, stunting and thinness data were also obtained from the Riskesdas study. The results showed that the prevalence of stunting and thinness in school-aged children was 11.4% and 9.2%, respectively, showing that the stunting prevalence in the city was lower than in the village (4.5% vs. 6.9%, = 0.000, respectively). In addition, the prevalence of MNDs in Indonesian children was 13.4%, 19.7%, 4.2%, 3%, and 12.7% for ferritin, zinc, calcium, vitamin A, and vitamin D, respectively. The mean serum level of vitamin A and zinc was significantly lower in stunted children compared to normal school children ( = 0.010 and = 0.014). The serum concentration of vitamin D was significantly lower in overweight children compared to thin and normal children ( = 0.000). Serum values of ferritin, zinc, and vitamin A were significantly higher in overweight children compared to thin and normal children ( = 0.000). A poor correlation was observed between the z-score of height-for-age (HAZ) and the levels of zinc (r = 0.089, = 0.000), vitamin A (r = 0.105, = 0.000), and vitamin D (−0.073, = 0.000). In addition, very weak correlations between z-scores of body mass index-for-age (BAZ) and the serum concentrations of ferritin (0.091, = 0.000), zinc (r = 0.115, = 0.000), vitamin A (r = 0.137, = 0.000), and vitamin D (r = −0.112, = 0.000) were also seen. In conclusion, school-aged children in Indonesia experienced stunting, thinness, and micronutrient deficiency. Furthermore, stunting and thinness were also related to micronutrient deficiencies.

Indonesia needs to lower its high infectious disease rate. This requires reliable data and following their temporal changes across provinces. We investigated the benefits of surveying the epidemiological situation with the imax biclustering algorithm using secondary data from a recent national scale survey of main infectious diseases from the National Basic Health Research (Riskesdas) covering 34 provinces in Indonesia. Hierarchical and k-means clustering can only handle one data source, but BCBimax biclustering can cluster rows and columns in a data matrix. Several experiments determined the best row and column threshold values, which is crucial for a useful result. The percentages of Indonesia’s seven most common infectious diseases (ARI, pneumonia, diarrhoea, tuberculosis (TB), hepatitis, malaria, and filariasis) were ordered by province to form groups without considering proximity because clusters are usually far apart. ARI, pneumonia, and diarrhoea were divided into toddler and adult infections, making 10 target diseases instead of seven. The set of biclusters formed based on the presence and level of these diseases included 7 diseases with moderate to high disease levels, 5 diseases (formed by 2 clusters), 3 diseases, 2 diseases, and a final order that only included adult diarrhoea. In 6 of 8 clusters, diarrhea was the most prevalent infectious disease in Indonesia, making its eradication a priority. Direct person-to-person infections like ARI, pneumonia, TB, and diarrhoea were found in 4-6 of 8 clusters. These diseases are more common and spread faster than vector-borne diseases like malaria and filariasis, making them more important.

Anemia and iron deficiency are health problems in Indonesia and globally. In Multiclass Classification, data problems often occur, such as missing data, too many variables, and unbalanced data. Then pre-processing data will be carried out using MissForest imputation, Boruta featuring selection, and SMOTE to help improve the performance of the classification model in predicting a particular class. After the data pre-processing process is carried out, classification modeling will be carried out using the XGBoost algorithm. It was found that when pre-processing the data could improve the performance of the model in predicting multiclass classification for cases of anemia and iron deficiency in women in Indonesia by 0.815 for the accuracy value and 0.9693 for the AUC value