METODE K-MEANS UNTUK PENGELOMPOKAN KABUPATEN/KOTA DI PROVINSI JAMBI BERDASARKAN INDIKATOR PENDIDIKAN DENGAN TIGA TINGKATAN

SALWAH, MEILAN SABILLAH and Hanum, Herlina and Kresnawati, Endang Sri (2024) METODE K-MEANS UNTUK PENGELOMPOKAN KABUPATEN/KOTA DI PROVINSI JAMBI BERDASARKAN INDIKATOR PENDIDIKAN DENGAN TIGA TINGKATAN. Undergraduate thesis, Sriwijaya University.

	Text RAMA_44201_08011382025097.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (1MB) | Request a copy
	Text RAMA_44201_08011382025097_TURNITIN.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (6MB) | Request a copy
	Text RAMA_44201_08011382025097_0008016503_0008027701_01_front_ref.pdf - Accepted Version Available under License Creative Commons Public Domain Dedication. Download (767kB)
	Text RAMA_44201_08011382025097_0008016503_0008027701_02.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (246kB) | Request a copy
	Text RAMA_44201_08011382025097_0008016503_0008027701_03.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (138kB) | Request a copy
	Text RAMA_44201_08011382025097_0008016503_0008027701_04.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (821kB) | Request a copy
	Text RAMA_44201_08011382025097_0008016503_0008027701_05.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (18kB) | Request a copy
	Text RAMA_44201_08011382025097_0008016503_0008027701_06_ref.pdf - Bibliography Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (74kB) | Request a copy
	Text RAMA_44201_08011382025097_0008016503_0008027701_07_lamp.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (289kB) | Request a copy

Abstract

Cluster analysis is a multivariate statistical analysis method used to group variables or objects into several groups that have certain similar characteristics so that each group will contain homogeneous objects. K-Means is one of the non-hierarchical data clustering or partitional clustering methods. Education is a fundamental need that must be fulfilled in social life. The problem of uneven education in each district / city in Jambi Province. To see the level of education in districts / cities in Jambi Province based on educational indicators, so that clustering of districts / cities in Jambi Province based on educational indicators at three levels, namely primary, secondary and tertiary. The goal is to find out the best cluster at each level of education. The method used is K-Means. Data on education indicators analyzed include Gross Enrollment Rate (APK), School Participation Rate (APS), Pure Enrollment Rate (APM), Literacy Rate (AMH), and Average Years of Study (RLB) sourced from BPS Jambi Province publications. The results showed that the best cluster results of districts / cities in Jambi Province based on education indicators with three levels in 2022 by applying K-means Cluster. At the primary level of education, the best clusters are obtained in 4 clusters with a weak structure that tends not to occur clustering. At the secondary level of education, the best clusters were obtained in 3 clusters. In higher education, the best clusters are obtained in 2 clusters, namely cluster 1 Jambi City and Full River City, the rest are in cluster 2.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Indikator Pendidikan, Analisis Cluster, K-Means Cluster
Subjects:	L Education > L Education (General) > L7-991 Education (General)
Divisions:	08-Faculty of Mathematics and Natural Science > 44201-Mathematics (S1)
Depositing User:	Meilan Sabillah Salwah
Date Deposited:	18 Jul 2024 08:06
Last Modified:	18 Jul 2024 08:06
URI:	http://repository.unsri.ac.id/id/eprint/151714

Actions (login required)

View Item