The decrease in the percentage of children under five who experience stunting in Indonesia did not meet the minimum standards set by the World Health Organization. Jember Regency had a proportion value of concise nutritional status (malnutrition) which was still higher than the average value of other regencies in East Java Province. The technology proposed in this study is developing technology in geographic information systems to detect malnutrition in toddlers. The design sprint and scrum methods were used as the method of software development. The detection of malnutrition was known by calculating the z-score values of the toddler's weight and height. The implementation results were evaluated using two test methods, namely Blackbox Testing and User Acceptance Testing (UAT). The result of this study is a system that can visualize stunting cases that occur in the form of geographic maps. At the same time, the evaluation results of this system obtained a value of 4.47 based on aspects or criteria related to the users of this application. The implementation of a method in the classification of stunting data can be considered as future system development.
Stunting as a condition of failure to thrive in children under five is an event that has received special attention from the government. The state of stunted babies has measured the height or length of the baby's body that is less than minus two standard deviations of the child's median standard of growth. The purpose of this study was to determine the effect of infant upper arm circumference on the incidence of stunting. This study was an observational analytic study using a statistical method approach in the analysis of these effects, specifically case-control design method. The results showed that the upper arm level could affect the incidence of stunting in toddlers. The value of odd ratio evidenced this; it was 9.577. In the future, medical personnel can consider the results of this study in predicting the possibility of early cases of stunting so they can do prevention early.
An application for data collection of stunting cases has been developed with data visualization in digital maps. This detailed information about stunting is a solution offered to solve problems in areas prone to stunting. This system requires further testing to get feedback from several relevant stakeholders. The COBIT 5 framework, with a combination of DSS and MEA domains, is used in this study to test this geography-based system of stunting cases. The interviews with system administrator respondents showed that the lowest scores were in the DSS05 and MEA02 domains of 75.20 and 74.67 on the Linkert scale. The same results were also obtained from management respondents consisting of heads of Puskesmas and midwives, 77.54 and 75.95. In the end, the level of achievement of the domain of the current system and its monitoring is compared between the current condition (as-is) and the general condition (to-be), indicating a gap. Based on the gap analysis, two-gap values were obtained in the DSS05 and MEA02 domains. Recommendations for improvement in the future are in terms of vulnerability to errors and increasing the ability of internal parties to control the system to handle errors.
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