Application of Fuzzy TOPSIS in Selecting Poverty Case Among UiTM Perlis Students due to COVID-19 Pandemic

Authors

  • Sharifah Fhahriyah Syed Abas Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA Perlis Branch
  • Nurulain Nabilah Muhamad Fauzuk Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA Perlis Branch

DOI:

https://doi.org/10.24191/jcrinn.v7i2.311

Keywords:

Fuzzy TOPSIS, Financial aid, COVID-19, Poverty Case

Abstract

The effects of Covid-19 are not only in terms of health, but many things arise along with its existence. One of them is poverty. Due to this, Universiti Teknologi MARA(UiTM) has taken the initiative to offer several financial aids to the affected students. However, the students must fill in the application form to obtain the aid. They need to provide the supporting documents such as parents pay slip, information on family dependent and so on, which will be inspected, graded and selected by the committee to determine the qualification for the financial aids. Due to this, it will be a long process to select the rightful applicants, which involves a significant length of time as it consisted of hundreds of applicants. Hence, the aim of this study is to select and rank the most eligible candidates among UiTM Perlis students with fairness, fast and accurate manner. In this study, the Fuzzy Technique for Others Preference by Similarity to Ideal Solution (TOPSIS) method was used to solve the problem. The model was run using Microsoft Excel. The selection of UiTM Perlis students were based on a set of criteria that had been predetermined which includes family income, occupation and the number of dependent in the family. The findings of the study showed that from 35 samples of UiTM Perlis students, the highest-ranking was student 35 (S35) with 1.0000 relative closeness. Meanwhile, the lowest ranking was student 30 (S30) with 0.6478 relative closeness. It is also shown that all samples are qualified to receive financial aid due to sufficient allocation amount provided by UiTM Perlis. As a result, the mistakes during the selection process can be reduced by using this method compared to manual selection. Thus, making it easier and faster to channel the aid. All in all, it has been demonstrated that this method is very suitable to be used in this study.

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References

Ebrahim, K. S., Omid, A. N., & Nasser, T. (2017). Application of TOPSIS method in evaluation and prioritization of social stability in rural areas (Case Study: Zidasht Basin). Journal of Applied Sciences and Environmental Management, 21(1), 49. https://doi.org/10.4314/jasem.v21i1.6

Ece, O., & Uludag, A. S. (2017). Applicability of Fuzzy TOPSIS Method in Optimal Portfolio Selection and an Application in BIST. International Journal of Economics and Finance, 9(10), 107. https://doi.org/10.5539/ijef.v9n10p107

Irvanizam, I. (2018). Application of the fuzzy topsis multi-attribute decision making method to determine scholarship recipients. Journal of Physics: Conference Series, 978(1). https://doi.org/10.1088/1742-6596/978/1/012056

Jumarni, R.F., & Zamri, N. (2018). An Integration of Fuzzy TOPSIS and Fuzzy Logic for Multi-criteria Decision Making Problems. International Journal of Engineering & Technology,7(2.15), 102-106. http://www.sciencepubco.com/index.php/IJET

Kusumawardani, R. P., & Agintiara, M. (2015). Application of Fuzzy AHP-TOPSIS Method for Decision Making in Human Resource Manager Selection Process. Procedia Computer Science, 72, 638–646. https://doi.org/10.1016/j.procs.2015.12.173

Nadaban, S., Dzitac, S., & Dzitac, I. (2016). Fuzzy TOPSIS: A General View. Procedia Computer Science, 91(ITQM), 823–831. https://doi.org/10.1016/j.procs.2016.07.088

Rahman, S. (2020). COVID-19 in Malaysia: impact on the poor | IIAS. International Institute for Asian Studies. https://www.iias.asia/the-newsletter/article/covid-19-malaysia-impact-poor

Sudiatmika, I. B. K., Jimbara, R., & Setyohadi, D. B. (2017). Determination of assistance to the poor by integrating Fuzzy AHP and TOPSIS models: (Case study Bali Province). Proceedings - 2017 1st International Conference on Informatics and Computational Sciences, ICICoS 2017, 2018-January, 95–99. https://doi.org/10.1109/ICICOS.2017.8276344

Surniandari, A., Rachmi, H., & Widiastuti, L. (2021). TOPSIS Method To Determine Recipients Of Covid 19 Social Assistance Funds. Jurnal Mantik, 5(1), 387–393.

Wardana, A. K., & Rianto. (2021). The Best Selection of PIP Scholarship: AHP-TOPSIS Vs Fuzzy AHP-TOPSIS. Journal of Physics: Conference Series, 1823(1). https://doi.org/10.1088/1742-6596/1823/1/012006

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Published

2022-09-30

How to Cite

Syed Abas, S. F., & Muhamad Fauzuk, N. N. (2022). Application of Fuzzy TOPSIS in Selecting Poverty Case Among UiTM Perlis Students due to COVID-19 Pandemic. Journal of Computing Research and Innovation, 7(2), 234–244. https://doi.org/10.24191/jcrinn.v7i2.311

Issue

Section

General Computing