PEMODELAN INDEKS PEMBANGUNAN MANUSIA MENGGUNAKAN ANALISIS REGRESI SPASIAL DI PROVINSI JAWA TIMUR
DOI:
https://doi.org/10.25077/jmu.9.4.347-356.2020Abstract
Analisis regresi spasial merupakan hasil pengembangan dari metode regresi linear klasik yang dilakukan dengan mempertimbangkan adanya pengaruh lokasi atau spasial pada data yang dianalisis. Analisis regresi spasial dapat digunakan jika terdapat autokorelasi spasial antar daerah. Autokorelasi spasial tersebut dapat diukur dengan statistik uji Moran’s I. Pada penelitian ini akan dibentuk model untuk menentukan faktor-faktor yang mempengaruhi Indeks Pembangunan Manusia (IPM) menurut kabupaten/kota di Provinsi Jawa Timur dengan menggunakan analisis regresi spasial. Berdasarkan pengujian menggunakan statistik uji Moran’s I diperoleh bahwa pada data Indeks Pembangunan Manusia (IPM) terdapat autokorelasi positif. Selanjutnya dilakukan analisis regresi spasial menggunakan Spatial Autoregressive Model (SAR) dengan parameter Ï = 0, 00001. Hal ini menunjukkan bahwa terdapat hubungan antara masingmasing lokasi. Hasil analisis menunjukkan bahwa variabel bebas yang mempengaruhi Indeks Pembangunan Manusia (IPM) di Provinsi Jawa Timur adalah persentase penduduk miskin, persentase rumah tangga yang memiliki tempat buang air besar sendiri dan persentase kepadatan penduduk.
Kata Kunci: Autokorelasi spasial, Uji Moran’s I, Spatial Autoregressive Model
Downloads
Downloads
Published
How to Cite
Issue
Section
License
All articles published in Jurnal Matematika UNAND (JMUA) are open access and licensed under the Creative Commons Attribution-ShareAlike 4.0 International License (CC BY-SA 4.0). This license allows published content to be freely accessed, shared, redistributed, and adapted for any purpose, including commercial use, provided that the applicable license conditions are followed.
Copyright Holder
The copyright of articles published in Jurnal Matematika UNAND is held by the Departemen Matematika dan Sains Data, Fakultas Matematika dan Ilmu Pengetahuan Alam (FMIPA), Universitas Andalas (UNAND), in accordance with the journal's stated copyright policy.
Author Rights
Under the CC BY-SA 4.0 license, authors may share, distribute, and reuse their published articles, subject to the applicable license conditions. These rights include:
-
Self-Archiving: Authors may deposit their published articles in institutional repositories, personal websites, or academic platforms.
-
Reuse: Authors may reuse their published work in subsequent publications, research, teaching materials, or other lawful purposes, provided that appropriate attribution is maintained.
-
Distribution: Authors may share and distribute their published articles without requiring additional permission under the terms of the license.
Creative Commons License (CC BY-SA 4.0)
Under the CC BY-SA 4.0 license, users are free to:
-
Share: Copy and redistribute the material in any medium or format.
-
Adapt: Remix, transform, and build upon the material for any purpose, including commercial purposes.
These permissions are subject to the following conditions:
-
Attribution: Users must give appropriate credit to the original author(s), retain relevant copyright notices, provide a link to the license, and indicate if changes were made. Attribution must not imply endorsement by the author(s), copyright holder, or journal.
-
ShareAlike: If users remix, transform, or build upon the material, they must distribute their contributions under the same CC BY-SA 4.0 license or a compatible license.
-
No Additional Restrictions: Users may not apply legal terms or technological measures that legally restrict others from exercising the rights granted by the license.
For more information about the CC BY-SA 4.0 license, please visit:
https://creativecommons.org/licenses/by-sa/4.0/
Third-Party Content
Third-party materials, including figures, tables, photographs, and illustrations, are covered by the article's CC BY-SA 4.0 license only when their inclusion under that license is authorized.
Materials excluded from the license must be clearly identified with appropriate copyright notices and attribution. Authors are responsible for obtaining any necessary permissions, while users must comply with the applicable licensing terms or permissions when reusing excluded materials.
Copyright and Licensing Information
Copyright and licensing information should be clearly displayed on each published article's landing page and included in the full-text versions (HTML and PDF), where applicable, to ensure transparency regarding copyright ownership and permitted reuse.
