文章基本信息

标题：Trend of Stunting Weight for Infants and Toddlers Using Decision Tree
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作者：Andi Nugroho ; Harco Leslie Hendric Spits Warnars ; Ford Lumban Gaol 等
期刊名称：Lecture Notes in Engineering and Computer Science
印刷版ISSN：2078-0958
电子版ISSN：2078-0966
出版年度：2022
卷号：52
期号：1
语种：English
出版社：Newswood and International Association of Engineers
摘要：This papar is to show the trend of increasing the weight of infants and toddlers is of particular concern to the Indonesian government. This encourages the government to avoid stunting and malnutrition that can affect babies aged 0-59 months. The Indonesian government quickly established the Integrated Health Service Post (POSYANDU) to reduce the number of malnutrition in infants and toddlers. With the existence of POSYANDU, it is hoped that infants and toddlers can avoid malnutrition. The purpose of this study was to see the trend of weight gain for infants and toddlers aged 0-59 months to ensure that the weight of infants and toddlers continues to increase from month to month. To be able to see the trend of weight gain, a decision tree classification algorithm is needed, to see the weight gain of infants and toddlers. In addition, the feature selection process uses the single factor ANOVA method in determining the feature approach possessed by the dataset. This study will also compare the decision tree algorithm with the KNN in determining the classification of weight gain for infants and toddlers. Then the results show that the decision tree algorithm and ANOVA are better at providing accuracy, recall, F1 score, and precision than the KNN classification algorithm. Thus the decision tree + ANOVA algorithm is a classification algorithm used to see the trend of weight gain in infants and toddlers aged 0-59 months.
关键词：Infants;Children;Classification;POSYANDU