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All Journal METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi
Hairul Amren S.
Akademi Teknik dan Keselamatan Penerbangan (ATKP) Medan
Computer Science & IT Economics, Econometrics & Finance

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Journal : METHOMIKA: Jurnal Manajemen Informatika

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CLASSIFICATION OF STUDENT’S AIR TRAFFIC CONTROL SKILL USING LOGISTIC REGRESSION Liber Tommy Hutabarat; Hairul Amren S.; Marzuki Sinambela; Tonni Limbong
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 3 No. 2 (2019): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (342.677 KB) | DOI: 10.46880/jmika.Vol3No2.pp166-169

Abstract

The classification of student’s air traffic control skills at Akademi Teknik dan Keselamatan Penerbangan Medan (ATKP) is very interesting to evaluate and look at the performance of the student. In this study, we compute the student’s air traffic control (ATC) skill data to classify and evaluate the model and performance of the dataset. The computation of the dataset using the logistic regression approach based on Sk-learn by training and test data. The data was collected from ATKP for twenty samples. The result of this study indicates the logistic regression classifier is the best algorithm for this classification problem, offering good values in terms of accuracy, true negative rate, and true positive rate.
Co-Authors Liber Tommy Hutabarat Sinambela Marzuki TONNI LIMBONG