The Effectiveness of Counseling on Complementary Food for Mothers and Supplementary Feeding for Increasing weight of Breastfed babies (12-24 Months of Age) in the Aceh Besar District of Indonesia

Rachmawati, Rachmawati; Novita, Rosi; Erwandi, Erwandi; Fitriyanin, Eva; Idroes, Rinaldi; Sas, Novi Reandy

doi:10.3923/pjn.2020.279.284

Cited by 4 publications

(5 citation statements)

References 14 publications

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“…Cluster 3 (yellow) has a larger spread and includes districts such as West Aceh (5), Southwest Aceh (12), and Bener Meriah (17). Cluster 4 (pink) is elongated and seems to contain districts that are quite spread out, including Gayo Lues (13), Aceh Jaya (14), and Sabang (20). The positioning of the clusters relative to each other can also give insights Simeulue, Aceh Singkil, Gayo Lues, Aceh Jaya, Sabang, Southwest Aceh and Subulussalam into the similarities and differences between the clusters.…”

Section: Based On the Results Ofmentioning

confidence: 99%

“…Because of this, even with a small sample size, it is an excellent option if you are worried about finding departures from normalcy. In statistics, testing for data normality aims to determine if the data has a normal distribution [19][20][21]. The significance of the study lies in the fact that many statistical techniques presume a normal distribution and the accuracy of the analysis results is increased if this assumption is satisfied [22,23].…”

Section: Methodsmentioning

confidence: 99%

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Statistical Clustering Approach: Mapping Population Indicators Through Probabilistic Analysis in Aceh Province, Indonesia

Sasmita,

Khairul,

Sofyan

et al. 2023

Infolitika J. Data Sci.

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The clustering, one of statistical analysis, can be used for understanding population patterns and as a basis for more targeted policy making. In this ecological study, we explored the population dynamics across 23 districts/cities in Aceh Province. The study used the Aceh Population Development Profile Year 2022 data, focusing on the total population, in-migrants, out-migrants, fertility, and maternal mortality as variables. The study employed descriptive statistics to ascertain the data distribution, followed by the Shapiro-Wilk test to evaluate normality, which is crucial for selecting the appropriate statistical methods. The Spearman test was used to determine correlations between the total population and the variable as indicators. Probabilistic Fuzzy C-Means (PFCM) method is used for clustering. To optimize clustering, the silhouette coefficient was calculated using the Euclidean Distance and the elbow method, with the results analyzed using R-4.3.2 software. This study's design and methods aim to provide a nuanced understanding of demographic patterns for targeted policy-making and regional development in Aceh, Indonesia. Based on the data normality test results, only fertility (p-value = 0.45), while the other variables are not normally distributed. Spearman test was used, and the results showed that only in-migrants (p-value = 1.78 x 10-6) and out-migrants (p-value = 2.30 x 10-6) correlated to the Aceh Province population. Using the population variable and the two variables associated with it, it was found that 4 is the best optimum number of clusters, where clusters 1, 2, 3, and 4 consist of three districts/city, nine districts/city, four districts/city and seven districts/city respectively.

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Section: Based On the Results Ofmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Statistical Clustering Approach: Mapping Population Indicators Through Probabilistic Analysis in Aceh Province, Indonesia

Sasmita,

Khairul,

Sofyan

et al. 2023

Infolitika J. Data Sci.

View full text Add to dashboard Cite

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“…The Pearson test or Spearman test was used to assess the correlation between the HDI and the socioeconomic indicators used in this study, depending on the results of the normality distribution found in the data. The purpose of the correlation test in statistics is to evaluate the relationship between two or more variables [37][38][39]. The null hypothesis (H0) of the Spearman rank correlation test is that there is no monotonic relationship between the two variables in the population, while the alternative hypothesis (H1) posits that there is a monotonic relationship between the variables.…”

Section: Methodsmentioning

confidence: 99%

Statistical Assessment of Human Development Index Variations and Their Correlates: A Case Study of Aceh Province, Indonesia

Sasmita,

Phonna,

Fikri

et al. 2023

Grimsa J. Bus. Econ. Stud.

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The Human Development Index (HDI) provides a holistic measure of human development in a country or locality. This study aims to identify factors correlated with changes in the Human Development Index and analyze changes in the distribution of the Human Development Index in Aceh Province from 2012 to 2022. Apart from the Human Development Index as the variable used in this study, five variables are used in this study as indicators: Life Expectancy, Gross Regional Domestic Product (GRDP), Per Capita Expenditure, Average Years of Schooling, and Expected Years of Schooling as socioeconomic factors. This research uses an ecological study design. Data was sourced from the "Aceh in Figures" report by the Central Bureau of Statistics of Aceh Province. The statistical methods used were descriptive statistics, the Shapiro-Wilk test for normality, the Spearman test for correlation analysis, the Wilcoxon one-sample test for data distribution, and the Kruskal-Wallis test to compare distributions. Based on the correlation analysis, the study revealed that the five socioeconomic variables tested showed a significant positive correlation with changes in the HDI in Aceh Province (p-value < 0.05). In addition, the difference analysis showed a significantly different distribution of HDI across the years studied (p-value < 0.05), with a pattern of increasing HDI observed from the beginning to the end of the study period. The recommended based on finding of the study is policymakers and stakeholders focus on strategies that enhance the positive correlates identified Finally, these results provide important and structured insights into the role of factors in HDI change.

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“…The following steps involve Inferential statistics: normality tests and Spearman correlation tests will be conducted on each variable. These tests aim to assess the data's distribution and identify potential relationships between variables [16,17]. Following the statistical analyses, we will employ Fuzzy C-Means (FCM) clustering to categorize the data into distinct clusters based on similarities.…”

Section: Data Analysis and Softwarementioning

confidence: 99%

Maternal and Child Healthcare Services in Aceh Province, Indonesia: A Correlation and Clustering Analysis in Statistics

Sasmita,

Ramadeska,

Utami

et al. 2023

Infolitika J. Data Sci.

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Infant mortality remains a public health problem in Aceh Province, Indonesia. Health services during pregnancy are an essential factor in reducing infant mortality. Studies examining factors such as maternal and child health services that have implications for infant mortality in Aceh province are still scarce. Therefore, this study aims to examine the correlation between maternal and child health services variables such as Blood-Supplementing Tablets (TTD), Coverage of the First Visit of Pregnant Women (K1), Coverage of the First Visit of Pregnant Women (K4), and management of Obstetric Complications to live births and to map the maternal and child health services obtained during pregnancy. A cross-sectional study was used as the research study. This study used descriptive statistics, such as measures of data centering and data dispersion. In this work, inferential statistical analysis was conducted using the Shapiro-Wilk test, Spearman test, and fuzzy c-means. The result of the Shapiro Wilk test stated that the live birth rate variable and all Maternal and Child Healthcare Services variables were not normally distributed (p-value < 0.05), all Maternal and Child Healthcare Services variables were positively correlated to live birth rate based on the Spearman test (p-value < 0.05). Based on the Silhouette Index with 0.555, the formation of 3 clusters is the optimal cluster. The clustering is based on the Maternal and Child Healthcare Services that have been provided, where the first, second, and third clusters consist of five districts/city, eight districts/city, and ten districts/city, respectively, as a result of Fuzzy C-Means Clustering.

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The Effectiveness of Counseling on Complementary Food for Mothers and Supplementary Feeding for Increasing weight of Breastfed babies (12-24 Months of Age) in the Aceh Besar District of Indonesia

Cited by 4 publications

References 14 publications

Statistical Clustering Approach: Mapping Population Indicators Through Probabilistic Analysis in Aceh Province, Indonesia

Statistical Clustering Approach: Mapping Population Indicators Through Probabilistic Analysis in Aceh Province, Indonesia

Statistical Assessment of Human Development Index Variations and Their Correlates: A Case Study of Aceh Province, Indonesia

Maternal and Child Healthcare Services in Aceh Province, Indonesia: A Correlation and Clustering Analysis in Statistics

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