基于地理信息系统的幼儿营养不良早期检测应用开发

D. S. H. Putra, I. Wiryawan, Estin Roso Pristiwaningsih, E. Mulyadi, P. Destarianto, K. Agustianto
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引用次数: 3

摘要

印度尼西亚五岁以下发育迟缓儿童比例的下降未达到世界卫生组织设定的最低标准。Jember摄政的简明营养状况(营养不良)比例值仍高于东爪哇省其他摄政的平均值。这项研究中提出的技术正在开发地理信息系统中的技术,以检测幼儿的营养不良。软件开发采用了设计冲刺和scrum方法。通过计算幼儿体重和身高的z-score值来检测营养不良。采用黑盒测试(Blackbox Testing)和用户接受测试(User Acceptance Testing, UAT)两种测试方法评估实现结果。这项研究的结果是一个可以以地理地图的形式可视化发育迟缓病例的系统。同时,根据与本应用用户相关的方面或标准,本系统的评价结果为4.47。在发育迟缓数据的分类方法的实现可以被认为是未来的系统
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development of Malnutrition Early Detection Application in Toddlers based on Geographic Information System
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
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