Pemodelan Jumlah Anak Putus Sekolah Usia Wajib Belajar dan Jumlah Wanita Menikah Dini di Jawa Timur dengan Pendekatan Geographically Weighted Bivariate Negative Binomial Regression
Submission Date: 2019-07-23 17:13:35
Accepted Date: 2020-02-03 00:00:00
Abstract
Kemajuan di bidang pendidikan sudah dilakukan di Indonesia namun masih banyak anak-anak yang harus putus sekolah khususnya di Jawa Timur. Hal ini disebabkan oleh faktor ekonomi, sosial dan lingkungan tinggal anak. Salah satu masalah yang berhubungan dengan putus sekolah adalah pernikahan usia dini di kalangan wanita remaja. Pemodelan menggunakan metode Geographically Weighted Bivariate Negative Binomial Regression dilakukan untuk mengetahui faktor yang berpengaruh pada jumlah anak putus sekolah dan jumlah wanita menikah dini. Sebelum itu dilakukan pula pemodelan menggunakan metode Bivariate Negative Binomial Regression. Metode GWBNBR menghasilkan 7 kelompok kabupaten/kota dengan variabel signifikan yang sama untuk jumlah anak putus sekolah dan 5 kelompok kabupaten/kota dengan variabel signifikan yang sama untuk jumlah wanita menikah dini. Metode BNBR merupakan metode yang lebih baik untuk memodelkan karena menghasilkan nilai AICc terkecil. Tetapi dengan menggunakan metode GWBNBR informasi yang didapat lebih banyak sehingga penanganan masalah anak putus sekolah dan wanita menikah dini di setiap daerah dapat di sesuaikan dengan variabel signifikan hasil metode GWBNBR.
Keywords
Heterogenitas; Overdispersi; Putus Sekolah; Wanita Menikah Dini
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