| dc.contributor |
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| dc.contributor |
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| dc.creator |
Astuti, Nia |
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| dc.creator |
Achmad, Anneke Iswani |
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| dc.creator |
Hajarisman, Nusar |
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| dc.date |
2017-08-11 |
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| dc.identifier |
http://karyailmiah.unisba.ac.id/index.php/statistika/article/view/8149 |
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| dc.description |
Logistic regression is one method that can be used to get functional relationship between categorical response variable with predictor variable. There are several kinds of logistic regression one of them is Generalized Ordinal Logistic Regression Model. This regression describes the functional relationship between the response variable that is ordinal and the predictor variable. This paper will discuss the use of Generalized Ordinal Logistic Regression Model on new students' pesantren exam data at Faculty of Mathematics and Natural Sciences (F-MIPA) of Islamic University of Bandung in 2017. Parameter estimation is done using likelihood maximum method, then solving nonlinear equations from Log-likelihood functions are estimated by numerical methods using the Newton-Raphson iteration process. Test of model significance using likelihood ratio test. |
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| dc.description |
Regresi logistik merupakan salah satu metode yang dapat digunakan untuk mendapatkan hubungan fungsional antara variabel respon yang bersifat kategorik dengan variabel prediktor. Ada beberapa macam regresi logistik salah satunya adalah Generalized Ordinal Logistic Regression Model. Regresi ini menggambarkan hubungan fungsional antara variabel respon yang bersifat ordinal dengan variabel prediktor. Makalah ini akan membahas penggunaan Generalized Ordinal Logistic Regression Model pada data nilai ujian pesantren mahasiswa baru di Fakultas Matematika dan Ilmu Pengetahuan Alam (F-MIPA) Universitas Islam Bandung tahun 2017. Penaksiran parameter dilakukan menggunakan metode maksimum likelihood, selanjutnya memecahkan persamaan non-linear dari fungsi log-likelihood yang ditaksir dengan metode numerik menggunakan proses iterasi Newton-Raphson. Uji signifikansi model menggunakan uji rasio likelihood. |
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| dc.format |
application/pdf |
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| dc.language |
ind |
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| dc.publisher |
Universitas islam Bandung |
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| dc.relation |
http://karyailmiah.unisba.ac.id/index.php/statistika/article/view/8149/pdf |
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| dc.rights |
Copyright (c) 2017 Prosiding Statistika |
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| dc.source |
Prosiding Statistika; Vol 3, No 2, Prosiding Statistika (Agustus, 2017); 118-127 |
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| dc.source |
Prosiding Statistika; Vol 3, No 2, Prosiding Statistika (Agustus, 2017); 118-127 |
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| dc.source |
2460-6456 |
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| dc.subject |
Statistics |
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| dc.subject |
Logistic Regression, Generalized Ordinal Logistic Regression Model, Maximum Likelihood, Newton-Raphson, Likelihood Ratio |
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| dc.subject |
Statistika |
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| dc.subject |
Regresi Logistik, Generalized Ordinal Logistic Regression Model, Maksimum Likelihood, Newton-Raphson, Rasio Likelihood |
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| dc.title |
Generalized Ordinal Logistic Regression Model On Data Modeling Student Pesantren Value FMIPA Islamic University of Bandung Year 2017 |
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| dc.title |
Generalized Ordinal Logistic Regression Model Pada Pemodelan Data Nilai Pesantren Mahasiswa Baru FMIPA Universitas Islam Bandung Tahun 2017 |
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| dc.type |
info:eu-repo/semantics/article |
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| dc.type |
info:eu-repo/semantics/publishedVersion |
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| dc.type |
Peer-reviewed Article |
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| dc.type |
Quantitative |
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| dc.type |
Kuantitatif |
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