Unsupervised Data Mining with K-Medoids Method in Mapping Areas of Student and Teacher Ratio in Indonesia

Unsupervised Data Mining with K-Medoids Method in Mapping Areas of Student and Teacher Ratio in Indonesia

The purpose of this study was to analyze the k-medoids method in conducting cluster mapping in the ratio of the number of students and teachers in Indonesia by region, especially at the elementary school level. The data source is secondary obtained from the Ministry of Education and Culture which is...

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Bibliographic Details
Main Authors: Adya Hermawati, Sri Jumini, Mardiah Astuti, Fajri Ismail, Robbi Rahim
Format: Article
Language:English
Published: UIKTEN 2020-11-01
Series:TEM Journal
Subjects:
data mining
k-medoids method
davies bouldin index
student and teacher
ratio
Online Access:http://www.temjournal.com/content/94/TEMJournalNovember2020_1614_1618.pdf

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