Implementation of simple additive weighting (SAW) in determining nutrition in toddlers

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Abstract

The stunting or malnutrition in toddlers are the main problems facing society today[1]. Also, the fact that these young children experience lack of adequate nourishment in Indonesia is quite indisputable. Handling nutritional problems is closely related to the strategy of a nation to create healthy, intelligent and productive human resources. Efforts to improve quality human resources begin with how to manage children's growth as part of a family with good nutrition and care For this reason, this study takes part in supporting the alleviation of cases of malnutrition by using the Simple Additive Weighting (SAW) Method which is used to find the optimal alternative from a number of alternative criteria. The basic concept of SAW is to find the weighted sum of the performance ratings for each alternative across all attributes[2]. The SAW method requires a decision matrix normalization process (X) to a scale that can be compared with all alternative ratings[3]. The SAW method recognizes 2 attributes, namely the benefit criteria and the cost criteria. The method used was Simple Additive Weighting (SAW) which consists of 2 criteria, namely Height (TB) and Weight (BW) according to age for toddlers. The calculation accuracy of this application is 90% of the tested data
实施简单加法加权(SAW)在确定幼儿营养
幼儿发育迟缓或营养不良是当今社会面临的主要问题。此外,这些儿童在印度尼西亚缺乏足够营养的事实是无可争辩的。处理营养问题与一个国家创造健康、聪明和有生产力的人力资源的战略密切相关。提高人力资源质量的努力首先要从如何管理儿童作为家庭的一部分,在良好的营养和照顾下成长开始。因此,本研究通过使用简单相加加权法(SAW)参与支持减轻营养不良病例,该方法用于从许多替代标准中找到最佳替代方案。SAW的基本概念是找到所有属性[2]上每个备选方案的性能评级的加权和。SAW方法需要一个决策矩阵归一化过程(X)到一个尺度,该尺度可以与所有替代评级[3]进行比较。SAW方法识别2个属性,即效益标准和成本标准。采用简单加性加权法(Simple Additive Weighting, SAW),根据幼儿年龄分为身高(TB)和体重(BW) 2个标准。该应用程序的计算精度为测试数据的90%
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