Building of Informatics, Technology and Science
Vol 3 No 3 (2021): Desember 2021

Penerapan K-Means Clustering Untuk Pengelompokan Kelas Pada Taman Kanak-Kanak

Dewi Anggraeni (Sekolah Tinggi Manajemen Informatika dan Komputer Royal, Asahan)
Rizaldi Rizaldi (Sekolah Tinggi Manajemen Informatika dan Komputer Royal)
Guntur Maha Putra (Sekolah Tinggi Manajemen Informatika dan Komputer Royal, Asahan)



Article Info

Publish Date
31 Dec 2021

Abstract

Basically, children aged 5 years can recognize letters, match shapes, recognize class colors and easily adapt to the environment. However, there are some children who only have the ability to read, but do not have other abilities, as well as other children. Based on the observations, the researchers conducted research on the application of k means clustering to classify classes in kindergarten. The object of this research is students who study in TK ABA XI. The method used for division is the k means clustering method, where this method can group data in small amounts or in large amounts of data. There are 2 variables, namely the variable class_safa_and_Kelas_marwa. Where each variable has criteria, namely A = Activeness, B = Matching Pictures, C Knowing Color, D = Knowing Shapes, E = Writing. The result of this research is the calculation of k means cluster in grouping classes in kindergarten students can be a reference for teachers in terms of class division. The student grouping data is according to the desired class capacity and the number of classes can change according to the school's wishes.

Copyrights © 2021






Journal Info

Abbrev

bits

Publisher

Subject

Computer Science & IT

Description

Building of Informatics, Technology and Science (BITS) is an open access media in publishing scientific articles that contain the results of research in information technology and computers. Paper that enters this journal will be checked for plagiarism and peer-rewiew first to maintain its quality. ...