CLASSIFICATION OF STUDENT’S AIR TRAFFIC CONTROL SKILL USING LOGISTIC REGRESSION

METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi

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Field Value
 
Title CLASSIFICATION OF STUDENT’S AIR TRAFFIC CONTROL SKILL USING LOGISTIC REGRESSION
 
Creator Hutabarat, Liber Tommy
Amren S, Hairul
Sinambela, Marzuki
Limbong, Tonni
 
Description 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.
 
Publisher Universitas Methodist Indonesia
 
Date 2019-10-31
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
 
Format application/pdf
 
Identifier http://methomika.net/index.php/jmika/article/view/80
 
Source METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi; Vol 3 No 2 (2019): METHOMIKA: Jurnal Manajemen Informatika dan Komputerisasi Akuntansi; 166-169
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi; Vol 3 No 2 (2019): METHOMIKA: Jurnal Manajemen Informatika dan Komputerisasi Akuntansi; 166-169
2620-4339
2598-8565
 
Language eng
 
Relation http://methomika.net/index.php/jmika/article/view/80/71
 
Rights Copyright (c) 2019 Universitas Methodist Indonesia
 

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