Pemodelan Regresi Logistik Biner Terhadap Status Penerimaan Calon Mahasiswa ITS pada Jalur Ujian Tulis

Sagita, Regina Hayden (2020) Pemodelan Regresi Logistik Biner Terhadap Status Penerimaan Calon Mahasiswa ITS pada Jalur Ujian Tulis. Undergraduate thesis, Instistut Teknologi Sepuluh Nopember.

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Abstract

Ujian Tulis sebagai alat untuk jalur masuk universitas yang dilaksanakan oleh Lembaga Resmi Pemerintah dan dilakukan di Perguruan Tinggi Negeri sebagai pelaksana pusat ujian tulis dalam periode tes yang ditentukan secara nasional, peserta yang merupakan siswa Sekolah Lanjutan Tingkat Atas (SLTA) dari seluruh Indonesia. Institut Teknologi Sepuluh Nopember sendiri menggunakan hasil skor untuk seleksi ujian tulis dan mandiri dengan 33 program studi. Hasil analisis regresi logistik biner diperoleh bahwa faktor-faktor yang berpengaruh terhadap status penerimaan calon mahasiswa ITS di ujian tulis dengan rumpun ilmu saintek adalah Domisili, Pilihan ITS, Kemampuan Penalaran Umum, Kemampuan Kuantitatif, Pengetahuan dan Pemahaman Umum, Kemampuan Memahami Bacaan dan Menulis, Matematika Saintek, Fisika, Kimia, dan Biologi. Sehingga model saintek dapat mengklasifikasikan tepat 90,8%. Pada faktor-faktor yang berpengaruh terhadap status penerimaan calon mahasiswa ITS dengan rumpun ilmu soshum adalah pilihan ITS, Kemampuan Penalaran Umum, Kemampuan Kuantitatif, Kemampuan Memahami Bacaan dan Menulis, Matematika Soshum, Sejarah, Sosiologi, dan Ekonomi. Sehingga dari model regresi logistik biner yang terbentuk menghasilkan nilai ketepatan klasifikasi yang tinggi yaitu sebesar 96,8% artinya model regresi logistik biner pada kelompok soshum dan saintek baik untuk digunakan. ================================================================================================================== The written examination as a tool for university entry is carried out by the Government's Official Institution and is carried out at the State University as the executor of the written test center within the nationally determined test period, participants who are High School students from all over Indonesia. Institut Teknologi Sepuluh Nopember uses score results for the selection of written and independent examinations with 33 study programs. The results of binary logistic regression analysis found that the factors that influence the acceptance status of ITS prospective students in written examinations with the science group are Domicile, ITS Choice, General Reasoning Ability, Quantitative Ability, General Knowledge and Understanding, Ability to Understand Reading and Writing, Mathematics saintek, Physics, Chemistry, and Biology. So that the saintek model can classify exactly 90.8%. The factors that influence the admission status of prospective ITS students with soshum knowledge are ITS choice, General Reasoning Ability, Quantitative Ability, Ability to Understand Reading and Writing, Soshum Mathematics, History, Sociology, and Economics. So that the binary logistic regression model that was formed produces a high classification accuracy value of 96.8%, it means that the binary logistic regression model in the soshum and saintek is good to use.

Item Type: Thesis (Undergraduate)
Uncontrolled Keywords: Status Penerimaan, Ujian Tulis, Saintek, Soshum, Regresi Logistik Biner,Acceptance Status, Written Examination, Saintek, Soshum, Binary Logistic Regression
Subjects: H Social Sciences > HA Statistics
H Social Sciences > HA Statistics > HA31.3 Regression. Correlation
Divisions: Faculty of Science and Data Analytics (SCIENTICS) > Statistics > 49201-(S1) Undergraduate Thesis
Depositing User: Regina Hayden Sagita
Date Deposited: 26 Aug 2020 02:29
Last Modified: 26 Aug 2020 02:29
URI: https://repository.its.ac.id/id/eprint/81280

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