KLASIFIKASI KELUARGA BERISIKO STUNTING MENGGUNAKAN ALGORITMA K-NEAREST NEIGHBOR

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dc.contributor.authorFranata, Budi Hairi
dc.contributor.supervisorFitriansyah, Aidil
dc.date.accessioned2023-10-20T07:29:44Z
dc.date.available2023-10-20T07:29:44Z
dc.date.issued2023-07
dc.description.abstractStunting 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.en_US
dc.description.sponsorshipFakultas Matematika dan Ilmu Pengetahuan Alamen_US
dc.identifier.citationPerpustakaanen_US
dc.identifier.otherElfitra
dc.identifier.urihttps://repository.unri.ac.id/handle/123456789/11176
dc.language.isoenen_US
dc.publisherElfitraen_US
dc.subjectClassificationen_US
dc.subjectK-Nearest Neighboren_US
dc.subjectStuntingen_US
dc.titleKLASIFIKASI KELUARGA BERISIKO STUNTING MENGGUNAKAN ALGORITMA K-NEAREST NEIGHBORen_US
dc.typeArticleen_US

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