Open AccessPemodelan Regresi Logistik Biner dan Ordinal Pada Proses Seleksi Mahasiswa Baru Program D3KPLN PENS
Author(s) -
Ronny Susetyoko
Publication year - 2018
Publication title -
aiti
Language(s) - English
Resource type - Journals
eISSN - 2615-7128
pISSN - 1693-8348
DOI - 10.24246/aiti.v15i1.56-66
Subject(s) - logistic regression , test (biology) , selection (genetic algorithm) , ordered logit , ordinal regression , psychology , statistics , ordinal data , stage (stratigraphy) , logit , mathematics , computer science , artificial intelligence , paleontology , biology
Starting in 2016, Politeknik Elektronika Negeri Surabaya (PENS) accept new students D3KPLN. D3KPLN scheme is a joint program between PENS with PT. PLN(Persero) as a form of link and match between higher education and industry needs. In the program, student candidates must go through five stages of selection, namely: academic potential test (stage-1), psychotest (stage-2), physical test (stage-3), medical tests (stage 4), and interview ( stage-5). To know the probability characteristics of the selection process generally used ordinal logistic regression model. As for knowing the accepted probability characteristics at each stage of selection used binary logistic regression model. Based on testing at each stage, the academic potential test scores are not the only determinants of acceptance as a student D3KPLN. However, other factors such as physical condition, medical test results, and interviews were also decisive. In general, theacademic potential test scores significantly affect the results of the selection phase by phase (phase-1 until phase-5). Binary logistic regression model of the final stage is = exp (-4.788 + 0.02127 Score) / (1 + (exp (-4.788 + 0.02127 Score)). This indicates that an increase of one score of the academic potential test increases probability of the applicants be accepted as student to 1.0215 times. The results of this modeling can be used as a reference to determine the passing grade in selection process next year.