Jurnal ULTIMATICS
Vol 12 No 1 (2020): Ultimatics : Jurnal Teknik Informatika

The Decision Tree C5.0 Classification Algorithm for Predicting Student Academic Performance

Natanael Benediktus (Unknown)
Raymond Sunardi Oetama (Universitas Multimedia Nusantara)

Article Info

Publish Date
02 Jul 2020

Abstract

Student’s performance is often used as a benchmark and a student’s activeness is frequently used as a criteria of how well a student academically perform at school. Where in this study would try to find out whether the activeness of a student can predict their academic performance. The data used is an educational dataset is collected using a learning management system (LMS), which is a learner activity tracker tool that is connected by the internet. This data has numerical and categorical variables, so it is needed to have the right algorithm to classify data accurately and ensure data validity. In this study, the C.50 algorithm is used to test the data, where the data is divided into training data by 75% and testing data by 25%. And the result from the tested data, an accuracy of 71.667% is obtained.

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Journal Info
Jurnal ULTIMATICS
Website

Abbrev

TI

Publisher

Universitas Multimedia Nusantara

Subject

Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

Description

Jurnal ULTIMATICS merupakan Jurnal Program Studi Teknik Informatika Universitas Multimedia Nusantara yang menyajikan artikel-artikel penelitian ilmiah dalam bidang analisis dan desain sistem, programming, algoritma, rekayasa perangkat lunak, serta isu-isu teoritis dan praktis yang terkini, mencakup ...