PENERAPAN METODE MULTIVARIATE ADAPTIVE REGRESSION SPLINE (MARS) UNTUK MENGIDENTIFIKASI KOMPONEN YANG BERPENGARUH TERHADAP PERINGKAT AKREDITASI SEKOLAH (Kasus SMA/MA Di Propinsi Sumatera Barat)

Authors

  • Azzikra Febriyanti
  • Hazmira Yozza
  • Izzati Rahmi HG

DOI:

https://doi.org/10.25077/jmu.2.2.44-53.2013

Abstract

Peringkat akreditasi sekolah SMA/ MA dapat diduga berdasarkan delapan
komponen yang telah ditetapkan oleh pemerintah dalam Peraturan Menteri Pendidikan
Nasional Nomor 52 Tahun 2008 yaitu komponen standar isi, komponen standar proses,
komponen standar kompetensi lulusan, komponen standar pendidik dan tenaga kepen-
didikan, komponen standar sarana dan prasarana, komponen standar pengelolaan, kom-
ponen standar pembiayaan, dan komponen standar penilaian. Penelitian ini bertujuan
untuk mengindentikasi komponen apa saja yang mempengaruhi pengelompokan akredi-
tasi. Peringkat akreditasi yang didapatkan oleh sekolah dapat dikelompokan menjadi dua
kelompok dengan kelompok 1 adalah sekolah yang terakreditasi A atau B, dan kelom-
pok 2 adalah sekolah yang terakreditasi C atau tidak terakreditasi. Pendugaan terhadap
kelompok sekolah dapat diduga dengan menggunakan pendekatan Multivariate Adaptive
Regression Spline (MARS). Data yang digunakan adalah data yang dikeluarkan oleh
Badan Akreditasi Nasional Sekolah Menengah (BAN-SM) yang memuat data akreditasi
SMA/MA se-Sumatera Barat. Hasil pendugaan pengelompokan sekolah dengan metode
MARS menghasilkan beberapa variabel yang berpengaruh secara signikan, antara lain
: komponen standar sarana dan prasarana (X5), komponen standar kompetensi lulusan
(X3), komponen standar penilaian (X8), komponen standar isi (X1), komponen stan-
dar pembiyaan (X7), komponen standar proses(X2), dan komponen standar pengelolaan
(X6) dengan tingkat kepentingan berturut-turut 100%, 83.93%, 56.27%, 54.27%, 45.86%,
23.3%, 22.67%.

Downloads

Download data is not yet available.

Downloads

Published

10-06-2013

How to Cite

Febriyanti, A., Yozza, H., & HG, I. R. (2013). PENERAPAN METODE MULTIVARIATE ADAPTIVE REGRESSION SPLINE (MARS) UNTUK MENGIDENTIFIKASI KOMPONEN YANG BERPENGARUH TERHADAP PERINGKAT AKREDITASI SEKOLAH (Kasus SMA/MA Di Propinsi Sumatera Barat). Jurnal Matematika UNAND, 2(2), 44–53. https://doi.org/10.25077/jmu.2.2.44-53.2013

Issue

Vol. 2 No. 2 (2013)

Section

Articles

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.