Pemodelan Angka Buta Huruf di Provinsi Sumatera Barat Tahun 2014 dengan Geographically Weighted Regression

Ratih Maharani, Wiwiek Setya Winahju
Submission Date: 2016-07-18 23:42:31
Accepted Date: 2016-12-19 18:24:41

Abstract


Angka Buta Huruf (ABH) merupakan salah satu target dalam Millennium Development Goals (MDGs) yaitu menurunkan angka buta huruf menjadi 0%. Faktor yang mempengaruhi ABH berbeda dari suatu wilayah ke wilayah lain sehingga dalam penelitian ini digunakan metode Geographically Weighted Regression (GWR) untuk mendapatkan faktor yang berpengaruh tiap kabupaten/kota di Provinsi Sumatera Barat. Berdasarkan hasil pengujian aspek spasial, tidak terdapat dependensi spasial dan tidak terdapat heterogenitas spasial di setiap lokasi pengamatan. Pemilihan pembobot fungsi kernel yang terpilih dengan kriteria Cross Validation (CV) minimum adalah fungsi kernel Gaussian. Model GWR pada angka buta huruf  lebih baik dibandingkan pemodelan dengan regresi linier. Hal ini dikarenakan nilai AIC pada model GWR lebih kecil yaitu sebesar 32,2707 dibandingkan model regresi linier yaitu sebesar 41,6471. Faktor angka partisipasi murni SD, angka partisipasi murni SMP, persentase fasilitas pendidikan SMP dan persentase tenaga pendidik SMP berpengaruh signifikan pada sebagian besar kabupaten/kota di Provinsi Sumatera Barat.


Keywords


Angka Buta Huruf; Geographically Weighted Regression; Kernel Gaussian

References


BPS RI. (2015). Persentase Penduduk Buta Huruf di Indonesia Tahun 2014. Badan Pusat Statistika.

Draper, N. R., & Smith, H. (1992). Applied Regression Analysis Second Edition. New York: John Wiley & Sons, Inc.

Hocking, R. R. (1996). Method and Applications of Linier Models. New York: John Wiley and Sons Inc.

Gujarati, D.N. (2003). Basic Econometric Fourth Edition. New York: Mc Graw Hill Companies.

Anselin, L. (1998). Spatial Econometric: Methods and Models. Dordrecht: Kluwer Academic Publishers.

Fotheringham, A.S., Brundson C., & Charlton, M.E. (2002). Geographically Weighted Regression: The Analysis of Spatially Varying Relationship. England: John Wiley and Sons Ltd.


Full Text: PDF

CC Licencing


Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).

Refbacks

  • There are currently no refbacks.


Lembaga Penjaminan Mutu, Pengelolaan dan Perlindungan Kekayaan Intelektual (LPMP2KI) ITS
Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.