Risk Profiling In Student Tuition Fees’ Repayment: A Case Study

Volume 5, Issue 3, Article 5 - 2018

Authors: Norehan Kamaruddin;Nurfaizura Fazana Mohammad Noor;Zahayu Md Yusof ;Masnita Misiran

Copyright © 2018 . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

 Download PDF File

 Share on GOOGLE+  Share on Twitter  Share on LinkedIn Open XML File

Abstract

Private higher learning institution is vulnerable towards heavy dependence in students’ tuition fees to sustain operation, thus the default in tuition payments is among its most critical risk. In this work, the statistics-based scoring method is adopted to provide risk assessment that offers risk profiling for every students, specifically on their ability to pay tuition fees. Risk mitigation and preventive measure are also proposed in this work.

How To Cite This Article

@article{Kamaruddin_2018, doi = {10.31559/glm2018.5.3.5}, url = {https://doi.org/10.31559%2Fglm2018.5.3.5}, year = 2018, publisher = {Refaad for Studies and Research}, volume = {5}, number = {3}, pages = {157--164}, author = {Norehan Kamaruddin and Nurfaizura Fazana Mohammad Noor and Zahayu Md Yusof and Masnita Misiran}, title = {Risk Profiling In Student Tuition Fees' Repayment: A Case Study}, journal = {General Letters in Mathematics} }
Kamaruddin, N., Noor, N. F. M., Yusof, Z. M., & Misiran, M. (2018). Risk Profiling In Student Tuition Fees’ Repayment: A Case Study. General Letters in Mathematics, 5(3), 157–164. doi:10.31559/glm2018.5.3.5
[1]N. Kamaruddin, N. F. M. Noor, Z. M. Yusof, and M. Misiran, “Risk Profiling In Student Tuition Fees’ Repayment: A Case Study,” General Letters in Mathematics, vol. 5, no. 3, pp. 157–164, 2018.
Kamaruddin, Norehan, Nurfaizura Fazana Mohammad Noor, Zahayu Md Yusof, and Masnita Misiran. “Risk Profiling In Student Tuition Fees’ Repayment: A Case Study.” General Letters in Mathematics 5, no. 3 (2018): 157–164. doi:10.31559/glm2018.5.3.5.