Spline Nonparametric Regression Approach For Modeling Factors Affecting Vocational National Exam Results in Surabaya

Harun Al Azies, Alfisyahrina Hapsery

Abstract


Government policy in the field of evaluation is the holding of the National Examination (UN). Therefore, various improvements in the quality or quality of education through national examinations need to be done so that the quality of human resources really materializes as expected. Identification of factors that influence the indicators is done by modeling, namely by nonparametric regression analysis because the pattern of relationships between the variables carried out does not follow a certain pattern. The choice of nonparametric regression used is Spline, with its advantages model. Based on the analysis and discussion of the best Spline nonparametric regression model is a linear Spline model with one vertex. The resulting GCV value is 0.044. The teacher-student ratio factor at the level of vocational education influences the achievement of national student exam results in the city of Surabaya in the 2018/2019 academic year. This study still uses a linear regression program with a combination of one, two, and three knots with an R square of 65.92%. Need help developing the program into a quadratic and cubic order using a combination of knots

Full Text:

PDF (244-252)

References


Budiantara, I.N., 2005, Model Keluarga Spline Polinomial Truncated dalam Regresi Semiparametrik, Berkala MIPA, Institut Teknologi Sepuluh Nopember, Surabaya.

Eubank, R.L., 1991, Nonparametric Regression and Spline Smoothing, Mercel Dekker, New York.

Yolanda, Fani Yaly.,2016, Analisis Faktor-Faktor Yang Mempengaruhi Mutu Pendidikan Sekolah Menengah Kejuruan Di Kabupaten Sijunjung, Thesis, Perencanaan Pembangunan, Fakultas Ekonomi Universitas Andalas.

Ardiyanti, S.T., 2010, Pemodelan Angka Kematian Bayi dengan Pendekatan Geographically Weighted Poisson Regression di Provinsi Jawa Timur, Tugas Akhir, Jurusan Statistika, Fakultas Matematika dan Ilmu Pengetahuan Alam, Institut Teknologi Sepuluh Nopember, Surabaya

Riskiyanti, R., 2010, Analisis Regresi Multivariat Berdasarkan Faktor-faktor yang Mempengaruhi Derajat Kesehatan di Provinsi Jawa Timur, Tugas Akhir, Jurusan Statistika, Fakultas Matematika dan Ilmu Pengetahuan Alam, Institut Teknologi Sepuluh Nopember, Surabaya.


Refbacks

  • There are currently no refbacks.