Skripsi

PENERAPAN MODEL BASED-CLUSTERING KRITERIA INTEGRATED COMPLETED LIKELIHOOD (ICL) UNTUK MENGELOMPOKKAN WILAYAH KABUPATEN/KOTA DI PROVINSI JAMBI BERDASARKAN INDIKATOR PENDIDIKAN PADA TINGKAT PENDIDIKAN DASAR, MENENGAH, DAN TINGGI

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Penilaian

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The objective condition of the quality of education in Jambi Province still has many weaknesses that must be improved and has different levels in each region, so it is necessary to group regions in Jambi Province based on education indicators for primary, middle, and higher education levels. The purpose is to obtain similar characteristics of regional groups in Jambi Province for primary, middle, and higher education levels. The method applied is the multivariate Based-Clustering t model Integrated Completed Likelihood (ICL) criteria. Data on education indicators analyzed include Gross Enrolment Ratio (GER), Age Specific Enrolment (ASER), Net Enrolment Rate (NER), Illiteracy Rate, and Average Years of Study sourced from BPS Jambi Province publications. The results showed that at the primary education level it produced one regional group, at the middle and higher education levels it produced two regional groups. Based on the results of the average difference test with Manova, there are differences between the regional groups formed. The average value of indicators for each regional group for all education levels is higher than the average value for Indonesia. Regional groups at the primary education level have no significant differences in characteristics. Regional groups at middle and higher education levels with high indicator values are characterized by good educational accessibility. Regional groups with low indicator values have poor accessibility.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2407001249	T140220	T1402202024	Central Library (References)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T1402202024

Publisher

Inderalaya : Prodi Ilmu Matematika, Fakultas Matematika dan Ilmu Pengetahuan Alam., 2024

Collation

xiii, 61 hlm.; ilus.; 29 cm.

Language

Indonesia

ISBN/ISSN

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Classification

519.530 7

Content Type

Text

Media Type

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Carrier Type

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Edition

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Subject(s)

Prodi Ilmu Matematika
Matematika Statistikal

Specific Detail Info

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Statement of Responsibility

MI

Other version/related

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