确定幼儿营养状况的模糊推理系统

D. Gustian, B. Lestari, Nada Sri Rejeki, Nabila M Zasmine
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引用次数: 2

摘要

幼儿营养监测是宪法规定的政府项目之一。因此,通过印度尼西亚共和国卫生部的每一次定期监测,总能启动Posyandu、Puskesmas直到医院始终便利的条件。Posyandu Mawar 3是Sukabumi地区的Posyandu之一,问题是有足够多的高龄幼儿属于瘦和非常瘦的一类。这种情况当然是政府,特别是西爪哇政府所关注的。本研究中使用的方法是模糊推理系统Mamdani,因为它被评估为优于现有方法,能够通过易于理解的数学计算来控制输入与输出之间的平衡,直观,灵活,并且符合人类输入过程。本研究有助于政府的能力,特别是坡善都管理在活动实施过程中更加高效,方便坡善都干部在处理幼儿发展数据时,所产生的数据将更加准确,以及由于数据已被计算机化而造成的数据丢失。本研究的结果可以在年龄、体重和身高的输入数据与Crips中心点在-0.81左右的幼儿营养状况输出数据之间取得平衡,从而确定幼儿的营养状况。基于web的应用程序使用软件质量保证方法生成值为80.78的测试结果。这意味着该类别中包含的应用程序符合良好标准。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fuzzy Inference System in Determining Nutritional Status of Toddlers
The nutrition monitoring of toddlers is one of the government programs that are formulated in the Constitution 45. Therefore through the Ministry of Health of the Republic of Indonesia monitoring every periodic always start Posyandu, Puskesmas until the hospital always facilitate the condition. Posyandu Mawar 3, which is one of the Posyandu in Sukabumi district, is a problem where enough high toddlers belong to the skinny and very skinny category. This condition is certainly the concern of the government especially West Java. The method used in this study was the Fuzzy Inference System Mamdani because it was assessed to have advantages over existing methods capable of controlling the balance between inputs with output through easy-to-understand mathematical calculations, Intuitive, flexible, and in accordance with the human input process. This research contributes to the government's ability, especially Posyandu management in the process of implementing activities more efficiently, facilitating Posyandu cadres in the processing of toddler development data, the data produced will be more accurate, as well as Loss of data because it has been computerized. The results of this study can determine the nutritional condition of the toddler in a balanced between the input data of the age, weight and height and the output of the nutritional status of toddlers with a center point of the Crips around-0.81. The Web-based application generates test results with the Software Quality Assurance method with a value of 80.78. This means the application included in the category meets the good standards.
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