Penggerombolan provinsi di Indonesia berdasarkan instrumen akreditasi satuan pendidikan jenjang SMK menggunakan K-means dan average linkage
(Clustering of provinces in Indonesia based on accreditation instruments for vocational high school educational units using K-means and average linkage)
Andina Fahriya
Program Studi Statistika dan Sains Data, IPB University
Febryna Sembiring
Program Studi Statistika dan Sains Data, IPB University
Budi Susetyo
Program Studi Statistika dan Sains Data, IPB University
DOI: https://doi.org/10.19184/mims.v24i2.40822
ABSTRACT
Improvement and updates need to be done in order to maintain the existence of a school. Accreditation is one of the references to assess the excellence of a school. There are several components used in the accreditation assessment included in the IASP, namely Graduate Quality, Learning Process, Teacher Quality, and School Management. Additionally, to determine which provinces have low, medium, or high IASP scores, clustering is performed on the IASP scores of those provinces. Cluster analysis is a method used to group research objects based on similarities in their characteristics. In this study, clustering was performed using the K-means and average linkage methods on the average IASP scores of vocational high schools (SMK) in 34 provinces in Indonesia. With the Elbow Criterion approach, four clusters were formed for each method. The results of Dunn Index showed that the average linkage method performed better in clustering compared to the K-Means method.
Keywords: IASP, Cluster Analysis, K-Means, Average Linkage
MSC2020: 62H30
Published
27-09-2024
Issue
Vol. 24 No. 2 2024: Majalah Ilmiah Matematika dan Statistika
Pages
174-185
License
Copyright (c) 2024 Majalah Ilmiah Matematika dan Statistika
