Journal of Industrial Engineering Management
Special edition of Seminar Nasional Teknik dan Manajemen Industri 2020

APPLICATION OF PREDICTION TIME OF GRADUATION USING THE NAÏVE BAYES ALGORITHM WITH THE PYTHON PROGRAM

Priskila Christine Rahayu (Unknown)
Eric Jobiliong (Unknown)
Antonny Antonny (Unknown)



Article Info

Publish Date
04 Mar 2021

Abstract

Accreditation is a process to ensure the quality of a university and study program. There are several factors that determine the quality standard of accreditation. One of them is the time of graduation. However, there is no means that can be used to predict early student graduation time. Therefore, this study aims to create a means that can predict early graduation time. In this study, data mining methods were used, namely the Naïve Bayes algorithm. After that, data processing and application development will be carried out using the Python program. The data used in the data mining process is three years of historical data and the data used for the trial are active student data for the second and third years. There are 5 types of patterns with an accuracy value of 81%, 87%, 92%, 92%, and 95%.

Copyrights © 2020






Journal Info

Abbrev

JIEM

Publisher

Subject

Control & Systems Engineering Decision Sciences, Operations Research & Management Energy Engineering Industrial & Manufacturing Engineering

Description

Journal of Industrial Engineering and Management memiliki No.ISSN : 2541-3090 (Cetak) dan No.ISSN : 2541-3090 (Online). Journal of Industrial Engineering and Management diterbitkan oleh Prodi Jurusan Teknik Industri Fakultas Teknologi Industri Universitas Muslim Indonesia. Terbit 2 (Dua) kali dalam ...