NUTRITION CLASSIFICATION IN TODDLERS AT UPTD PUSKESMAS TIGARAKSA USING A COMPARISON OF SUPPORT VECTOR MACHINE (SVM) AND K-NEAREST NEIGHBOR (KNN) METHODS

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UEU » Journal » Magister Ilmu Komputer
Posted by [email protected] at 31/03/2024 21:44:03 • 185 Views

NUTRITION CLASSIFICATION IN TODDLERS AT UPTD PUSKESMAS TIGARAKSA USING A COMPARISON OF SUPPORT VECTOR MACHINE (SVM) AND K-NEAREST NEIGHBOR (KNN) METHODS

Created by :
Amelia Sholikhaq ( 20190804014 )
Gerry Firmansyah (0305116804) ; Budi Tjahjono (0330126703) ; Habibullah Akbar (0315108201)

Subject:	ALGORITMA PENGGALIAN DATA NUTRISI
Alt. Subject :	ALGORITHM CLASSIFICATION NUTRITION
Keyword:	Toddler Nutrition Data Mining Classification Support Vector Machine and K-Nearest Neightbour methods WEKA Tools

Date Create	:	31/03/2024
Type	:	Text
Format	:	pdf
Language	:	Indonesian
Identifier	:	UEU-Journal-11_4732
Collection ID	:	11_4732

Source :
Journal Research of Social Science, Economics, and Management, Vol. 2, No. 9, pp: 1968-1988

Relation Collection:
Fakultas Ilmu Komputer

Coverage :
Civitas Akademika Universitas Esa Unggul

Rights :
@2024 Perpustakaan Universitas Esa Unggul

Publication URL :
https://digilib.esaunggul.ac.id/nutrition-classification-in-toddlers-at-uptd-puskesmas-tigaraksa-using-a-comparison-of-support-vector-machine-svm-and-knearest-neighbor-knn-methods-33513.html

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