Academic Decision Support System for Choosing Information Systems Sub Majors Programs using Decision Tree Algorithm

Cut Fiarni,Evasaria M Sipayung,Prischilia B.T Tumundo

doi:10.20473/jisebi.5.1.57-66

Abstract

Background: Educational data mining is an emerging trend, especially in today Big Data Era. Numerous method and technique already been implemented in order to improve its process to gain better understanding of the educational process and to extract knowledge from various related data, but the implementation of these methods into Decision support system (DSS) application still limited, especially regarding help to choose university sub majors .Objective: To design an academic decision support system (DSS) by adopting Theory of Reasoned Action (TRA) concept and using Data Mining as a factor analytic apporach to extract rules for its knowledge model.Methods: We implemented factor analysis method and decision tree method of C.45 to produce rules of the impact course of the sub- majors and the job interest as the basic rules of the DSS.Results: The proposed academic decision support system able to give sub majors recommendations in accordance with student interest and competence, with 79.03% of precision and 61.11% of recall. Moreover, the system also has a dashboard feature that shows the information about the statistic of students in each sub majors.Conclusion: C.45 algorithm and factor analysis are suitable to build a knowledge model for Academic Decision Support System for Choosing Information System Sub Majors Bachelor Programs. This system could also help the academic adviser on monitoring and make decision accordance with that academic information

Highlights

Information System is one of the complex academic study that encompasses the concept, principles, and process of information technology and business management according to the organization’s strategy, planning and practices
System will authenticate users because users have their own level of interaction with the proposed system, determine the competencies of students to each sub majors based on the values inputted in accordance with the proposed predictive model, displays job recommendations based on the sub-major proposed by the system, and view the selection of sub major recommendations that match their interests and competence of students
We produce a rule-based model by extracting existing Information System (IS) alumni data regarding their academic performance and professional job history to support IS sub-major selection

Summary

Introduction

Information System is one of the complex academic study that encompasses the concept, principles, and process of information technology and business management according to the organization’s strategy, planning and practices. One of its most highly favorite bachelor program degree is Information System This department aims to create a professional that has competence in implementing information system to solve organization’s problems, translate business requirement into technical information technology solution, to enhance business process effectiveness and efficiency, an organization’s competitiveness. Conclusion: C.45 algorithm and factor analysis are suitable to build a knowledge model for Academic Decision Support System for Choosing Information System Sub Majors Bachelor Programs. This system could help the academic adviser on monitoring and make decision accordance with that academic information

Objectives

Methods

Results

Discussion

Conclusion