KLASIFIKASI KELUARGA BERISIKO STUNTING MENGGUNAKAN ALGORITMA K-NEAREST NEIGHBOR
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Date
2023-07
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Publisher
Elfitra
Abstract
Stunting is a nutritional condition that persists in children and is characterized by low
body weight and abnormal height compared to their age. According to Presidential
Regulation 72 of 2021, stunting is a growth and development disorder in children
caused by chronic malnutrition and recurrent infections, which is characterized by a
length or height below the standards set by the minister responsible for health affairs.
This study aims to determine the classification of stunting risk in families using the KNearest
Neighbor algorithm in the village of Pinang Sebatang Timur, using a dataset of
1000 entries that will be divided into training and testing data. Based on the research
results using 700 training data and 300 testing data, the study achieved an accuracy of
99.33%, precision of 100%, and recall of 98.81%. These results were implemented in a
web-based programming system.
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Keywords
Classification, K-Nearest Neighbor, Stunting
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