A Decision Support System for Major Selection using an Analytic Hierarchy Process
DOI:
https://doi.org/10.55766/LMUY5085Keywords:
Decision Support System, Major Selection, Analytic Hierarchy Process, Decision-making FactorAbstract
Attending a university, the students need to select a major that suits them best. Nevertheless, several students have faced with a problem of selecting the major. This problem is caused by a decision-making factor overload. To overcome this issue, this article proposes a decision support system for major selection of Information Technology students. The model is based on an analytic hierarchy process (AHP) of decision factors. Decision-making factors for major selection, which are evaluated by experts, are classified into two groups called personal factors and external factors. Personal factors include future career interests, passion, aptitude, competency, subject content interests, and grade point average. External factors are future career opportunity, career path and security, and future incomes. Information Technology students have four choices for major selection: Enterprise Software, Management Information Systems, Communication, and Information Studies. Data for model evaluation were obtained from 159 senior students of the class of 2013. The evaluation results reveal that the model achieves 86% of recall. This indicates that the model has potential to help each student select a major.
References
Ahmad, I., Manarvi, I. and Ashraf, N. (2009). Predicting University Performance in a Subject Based on High School Majors. In Computer and Industrial Engineering (CIE 2009) (pp. 1475-1479). France: IEEE.
Alshareef, A., Ahmida, S., Bakar, A.A., Hamdan, A.R. and Alweshah, M. (2015). Mining Survey Data on University Students to Determine Trends in the Selection of Majors. In Science and Information Conference (SAI) (pp. 586-590). UK: IEEE.
Bualueang, P. (2014). Predictive Software for Montfort College Students Selection of Program in Chiang Mai University Quota-Admission Examination Using Rule-Based Classifier Technique. (In Thai). Master of Science Degree in Computer Science at Chiang Mai University.
Elesakul, T. (2008). Motivaion of Selecting Computer Subject Area of The Second Year and The Third Year of Vocational Education Students at Phetchaburi Commercial School. (In Thai). Master of Education Degree in Business Education at Srinakharinwirot University.
Haruehansapong, K. (2006). Extracting Knowledge from Student Database Using Data Mining Techniques : A Case Study of Walailak University. (In Thai). Master of Science Thesis in Management of Information at Walailak University.
Jaisoong, S. and Theeranuphattana, A. (2012). Selection of Logistics Service Providers of Hana Microelectronics Public Company Limited by Applying the Analytic Hierarchy Process. (In Thai). Journal of Business Administration. 35 (134): 65-89.
Jamil, R. and Jarot, S.P.W. (2012). Intelligent Decision Support System for Degree Selection Using AHP Technique. In Computer and Communication Engineering (ICCCE 2012) (pp. 642-647). Malaysia: IEEE.
Janreung, P. (2007). The Decision Supported System to Choose the Ungraduated Students field Using Decision Tree Techniques. (In Thai). Master of Science Degree in Computer Science at King Mongkut’s University of Technology North Bangkok.
Laovachirasuwan, P. (2002). Factors Affecting Senior Pharmaceutical Science Students Major Selection, Khon Kaen University. (In Thai). Master of Education Degree in Education Psychology at Khon Kaen University.
Magjaroen, L. (2008). Factors Affecting Major Selection for Undergraduate Students of Business Administration of Rajamangala University of Technology Phra Nakhon. (In Thai). Research Report. Bangkok: Rajamangala University of Technology Phra Nakhon.
Nielsen, J. and Landauer, T.K. (1993). A Mathematical Model of the Finding of Usability Problems. In Proceedings of the INTERACT'93 and CHI'93 Conference on Human Factors in Computing Systems (pp. 206-213). Netherlands: ACM.
Pichaichok, W. and Payakpate, J. (2013). An Application of The Analytical Hierarchy Process (AHP) for Considering Scholarship of Huadong Rachaprommabhorn School, Nakhonsawan. (In Thai). NU Science Journal. 9(2): 29-46.
Pinyo, T. (2008). The Influences of Social Context towards High School Students in Making Decision to Continue Education in the Area of Science and Technology. (In Thai). Songklanakarin Journal of Social Sciences and Humanities. 14(2): 207-224.
Srisa-ard, B. (1992). Preliminary Research. (In Thai). Bangkok: Suweeriyasan.
Tonsirikongkon, W. (1999). AHP: The Most Popular Decision Process in the World. (In Thai). Bangkok: Graphic and Printing.
Uttamamunee, C. and Praneetpolgrang, P. (2010). The Development of Model for Online Autonomous Decision Support Systems for Managing the Study Plan of Students in Higher Education. (In Thai). Journal of Information Science and Technology. 2(1): 39-48.
Waiyamai, K., Songsiri, C. and Rakthanmanon, C. (2011). Using Data Mining Techniques to Improve the Quality of Education in the Faculty of Engineering. (In Thai). NECTEC Technical Journal. 3(11): 134-142.
Downloads
Published
Issue
Section
License
Copyright (c) 2018 Suranaree Journal of Social Science
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
ThaiJO