Matches in SemOpenAlex for { <https://semopenalex.org/work/W4386480061> ?p ?o ?g. }
Showing items 1 to 45 of
45
with 100 items per page.
- W4386480061 abstract "Stunting is still a serious public health problem in Indonesia, where the prevalence of this condition is 37.2%, up from 35.6% in 2019 and 36.8% in 2020. The length or height of a child who is short (dwarf) is below average for his age. Stunting has a negative impact on IQ deficiencies, infectious diseases, mental health problems, and child development. Toddlers with stunting cases are detected when their growth and development does not match their age, but currently there is no data grouping based on these criteria that is of concern to parents and posyandu cadres. Data can be grouped using the K-Means data mining technique. The K-Means algorithm is often used by researchers as a grouping procedure to ascertain whether children are stunted or not. 395 datasets are used in this research data. The Knowledge Discovery In Databases (KDD) approach, a comprehensive nontrivial procedure for detecting and recognizing patterns in data, underlies this research. Based on the variables of age, weight and height, this study aims to identify groups or clusters of stunting status in children under five. The best number of clusters with K = 2 was determined by the findings of this investigation. There are 392 children in cluster 0-Shanum, Rizka, Nurjanah, and others-and three toddlers in cluster 1-Ezra, M. Abidza, and Abd Mahmud. With a total of 287 stunted toddlers and 108 toddlers with normal development, the most ideal DBI value is 0.007 which is close to 0, this shows that the clusters under review provide quality clusters." @default.
- W4386480061 created "2023-09-07" @default.
- W4386480061 date "2023-09-04" @default.
- W4386480061 modified "2023-09-27" @default.
- W4386480061 title "Implementation of Data Classification Using K-Means Algorithm in Clustering Stunting Cases" @default.
- W4386480061 doi "https://doi.org/10.30596/jcositte.v4i2.15765" @default.
- W4386480061 hasPublicationYear "2023" @default.
- W4386480061 type Work @default.
- W4386480061 citedByCount "0" @default.
- W4386480061 crossrefType "journal-article" @default.
- W4386480061 hasBestOaLocation W43864800611 @default.
- W4386480061 hasConcept C105795698 @default.
- W4386480061 hasConcept C15744967 @default.
- W4386480061 hasConcept C164866538 @default.
- W4386480061 hasConcept C199360897 @default.
- W4386480061 hasConcept C33923547 @default.
- W4386480061 hasConcept C41008148 @default.
- W4386480061 hasConcept C71924100 @default.
- W4386480061 hasConcept C73555534 @default.
- W4386480061 hasConceptScore W4386480061C105795698 @default.
- W4386480061 hasConceptScore W4386480061C15744967 @default.
- W4386480061 hasConceptScore W4386480061C164866538 @default.
- W4386480061 hasConceptScore W4386480061C199360897 @default.
- W4386480061 hasConceptScore W4386480061C33923547 @default.
- W4386480061 hasConceptScore W4386480061C41008148 @default.
- W4386480061 hasConceptScore W4386480061C71924100 @default.
- W4386480061 hasConceptScore W4386480061C73555534 @default.
- W4386480061 hasIssue "2" @default.
- W4386480061 hasLocation W43864800611 @default.
- W4386480061 hasOpenAccess W4386480061 @default.
- W4386480061 hasPrimaryLocation W43864800611 @default.
- W4386480061 hasRelatedWork W2012590874 @default.
- W4386480061 hasRelatedWork W2026761251 @default.
- W4386480061 hasRelatedWork W2181485394 @default.
- W4386480061 hasRelatedWork W2748952813 @default.
- W4386480061 hasRelatedWork W2752632463 @default.
- W4386480061 hasRelatedWork W2899084033 @default.
- W4386480061 hasRelatedWork W2947735987 @default.
- W4386480061 hasRelatedWork W3123285233 @default.
- W4386480061 hasRelatedWork W4205527881 @default.
- W4386480061 hasRelatedWork W4236993829 @default.
- W4386480061 hasVolume "4" @default.
- W4386480061 isParatext "false" @default.
- W4386480061 isRetracted "false" @default.
- W4386480061 workType "article" @default.