IDENTIFIKASI FAKTOR-FAKTOR PENCIRI TINGKAT KESEJAHTERAAN RUMAH TANGGA MENGGUNAKAN BOOTSTRAP AGREGATING MULTIVARIATE ADAPTIVE REGRESSION SPLINES (BAGGING MARS) (Kasus Rumah Tangga di Padang Pariaman)

Authors

  • Arie Hariady Arifin
  • Hazmira Yozza
  • Izzati Rahmi HG

DOI:

https://doi.org/10.25077/jmu.2.4.34-42.2013

Abstract

Tingkat kesejahteraan suatu rumah tangga dapat diduga berdasarkan faktorfaktor pencirinya. Pada penelitian ini akan diidentifikasi faktor-faktor tersebut dengan membuat suatu model klasifikasi berdasarkan faktor-faktor yang diduga menggunakan metode Bagging MARS (Bootstrap Agregating Multivariate Adaptive Regression
Splines). Tingkat kesejahteraan rumah tangga dikelompokkan menjadi dua kelompok
berdasarkan garis kemiskinan, yaitu miskin dan tidak miskin. Kemudian dibuat model
tingkat kesejahteraan berdasarkan 15 variabel yang mewakili aspek kependudukan, pendidikan, perumahan, ketenagakerjaan, sosial ekonomi rumah tangga, dan teknologi informasi dan komunikasi. Data yang digunakan adalah data Hasil Survei Sosial Ekonomi
Nasional tahun 2011 di Padang Pariaman. Didapatkan 12 variabel yang berkontribusi
pada model. Lima diantaranya yang memiliki tingkat kepentingan tertinggi berturutturut adalah jumlah anggota rumah tangga ( X5), adanya anggota rumah tangga yang
dapat menggunakan telepon genggam ( X14), umur kepala rumah tangga ( X2), ijazah
tertinggi yang dimiliki kepala rumah tangga ( X4), pengalaman rumah tangga membeli
beras raskin ( X13). Selanjutnya variabel-variabel yang berkontribusi pada model didefinisikan sebagai faktor penciri tingkat kesejahteraan rumah tangga.

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Published

01-12-2013

How to Cite

Arifin, A. H., Yozza, H., & HG, I. R. (2013). IDENTIFIKASI FAKTOR-FAKTOR PENCIRI TINGKAT KESEJAHTERAAN RUMAH TANGGA MENGGUNAKAN BOOTSTRAP AGREGATING MULTIVARIATE ADAPTIVE REGRESSION SPLINES (BAGGING MARS) (Kasus Rumah Tangga di Padang Pariaman). Jurnal Matematika UNAND, 2(4), 34–42. https://doi.org/10.25077/jmu.2.4.34-42.2013

Issue

Vol. 2 No. 4 (2013)

Section

Articles

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