Naïve Bayes and SMART Metods to Determine  Toddler Development and Status

Qomariah Kumala Dewi; Imam Husni Al Amin

doi:10.30871/jaic.v5i1.3105

Qomariah Kumala Dewi Stikubank University
Imam Husni Al Amin Stikubank University

DOI: https://doi.org/10.30871/jaic.v5i1.3105

Keywords: Naïve Bayes Classifier, Simple Multi Attribute Rating Technique (SMART), Posyandu, Toddler Status Decision Support System

Abstract

Integrated Service Post (Posyandu) is a forum used for health services carried out from and for the community under the guidance of health workers. Currently, toddlers need to be given more attention to monitor their growth and development. The number of children under five who are monitored by posyandu cadres and puskesmas officers will certainly take a lot of time and require maximum accuracy in classifying the status of each toddler. The purpose of the design of this decision support system is to assist posyandu cadres in determining the developmental decisions of active and inactive toddlers. This research is very important to assist posyandu cadres in providing proper analysis of the developmental status of each toddler. The results of this study are an application that can be used to determine the criteria for growth and development of toddlers using the Naive Bayes and SMART methods so that they can help posyandu cadres in determining the development of toddler status.

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