JURNAL TEKNOLOGI DAN OPEN SOURCE
Vol 4 No 1 (2021): Jurnal Teknologi dan Open Source, June 2021

BINARY LOGISTIC REGRESSION IN DETERMINING AFFECTING FACTORS STUDENT GRADUATION IN A SUBJECT

Shedriko Shedriko (Unknown)



Article Info

Publish Date
22 Jun 2021

Abstract

Good communication and coordination between lecturers are needed in delivering material by different lecturers to ensure the relatively uniform quality of education. Knowing the success information from several classes to predict other classes, should be completed by significant parameters used in the algorithm. This research is using a quantitative analysis method with binary logistic regression methodology in determining critical factors of train data on “Introduction to Information Technology” subject in the university of XYZ. Several statistical testing are conducted to give the expected results using software excel with Real Statistics add-ins and Orange Data Mining in testing the pass-prediction from the given data training. The successive model can also be used to classify graduation for the different subjects.

Copyrights © 2021






Journal Info

Abbrev

JTOS

Publisher

Subject

Computer Science & IT

Description

Jurnal Teknologi dan Open Source menerbitkan naskah ilmiah. yang berkaitan dengan sistem informasi, teknologi informasi dan aplikasi open source secara berkala (2 kali setahun). Jurnal ini dikelola dan diterbitkan oleh Program Studi Teknik Informatika Fakultas Teknik, Universitas Islam Kuantan ...