Determination of Nutritional Status Using Classification Method Datamining Using K- Nearst Neighbord (KNN) Algorithm

Fatchan, Muhamad and Akbar, Muhamad Taufik and Hadikristanto, Wahyu and Firmansyah, Andri (2021) Determination of Nutritional Status Using Classification Method Datamining Using K- Nearst Neighbord (KNN) Algorithm. In: InCEESS 2020, 17-18 July 2020, Bekasi, Indonesia.

[img]
Preview
Text (PDF)
eai.17-7-2020.2302994.pdf - Published Version

Download (210kB) | Preview

Abstract

The Determination of nutritional status aims to determine the nutritional status of children, in health centers in the district of Bojonggambir, the parameters commonly used in determining the nutritional status of children based on body weight according to age (WA/ A), IIn determining the nutritional status of children often miscalculates due to several factors including, the psychological factors of nutritionists due to the large number of cases handled and the limited number of human resources in addition to the number of posyandu managed by the health center in Bojongambir quite a number of thousands of children each year, the purpose of this study is to determine patterns in the process of determining nutritional status and overcome the risk of errors in calculations performed by nutritionists, the method used in this study is the classification of data mining with the k nearst neighbord algorithm, the results of the k nearst neighbord algorithm calculation with the euncledean distance formula against 1001 children's data with value k is determined k = 3, k = 5, k = 7, k = 9, resulting in an average accuracy value of 96.88%, precision 98.59%, recall 95.25% and AUC 0.989 based on these results, it can be concluded the process of determining the nutritional status using an algorithm k nearst neighbord can be applied with very good accuracy results.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: nutritional status classification k-neart neigbord euclidean distance
Subjects: H Social Sciences > H Social Sciences (General)
Depositing User: EAI Editor IV
Date Deposited: 15 Mar 2021 08:38
Last Modified: 15 Mar 2021 08:38
URI: https://eprints.eudl.eu/id/eprint/1581

Actions (login required)

View Item View Item