Applications of Linear Programming on Diet Problem for Subways’ Sets Menu in Malaysia

Authors

  • Khalidah Irdina Khalid Kolej PERMATA Insan, Universiti Sains Islam Malaysia, 71800 Nilai, Negeri Sembilan, Malaysia
  • Nurul Farihan Mohamed Kolej PERMATA Insan, Universiti Sains Islam Malaysia, 71800 Nilai, Negeri Sembilan, Malaysia
  • Abdul Rahim Khairul Anuar Kolej PERMATA Insan, Universiti Sains Islam Malaysia, 71800 Nilai, Negeri Sembilan, Malaysia

DOI:

https://doi.org/10.37934/araset.41.2.16

Keywords:

Linear Programming, Diet Problem, Optimal Solution

Abstract

Consuming a proper and balanced diet is necessary for each and every individual. It makes them fit, healthy, and keep them safe from chronic diseases. However, in today's world, many individuals frequently buy fast food without realising that the food may not provide all the daily nutrients that the body needs. Therefore, this study aims to propose a mathematical modelling on diet problem for the subways sets menu in Malaysia. The proposed mathematical model will be solved by using the Microsoft Excel Solver in order to produce optimal solution, which mean that the chosen menu from the Subway fulfil the daily requirements of calories, protein, carbohydrates, and fats for both men and women.

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Author Biographies

Khalidah Irdina Khalid, Kolej PERMATA Insan, Universiti Sains Islam Malaysia, 71800 Nilai, Negeri Sembilan, Malaysia

khalidahdina7272@gmail.com

Nurul Farihan Mohamed, Kolej PERMATA Insan, Universiti Sains Islam Malaysia, 71800 Nilai, Negeri Sembilan, Malaysia

farihan@usim.edu.my

Abdul Rahim Khairul Anuar, Kolej PERMATA Insan, Universiti Sains Islam Malaysia, 71800 Nilai, Negeri Sembilan, Malaysia

rahimanuar05@gmail.com 

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Published

2024-03-20

How to Cite

Khalidah Irdina Khalid, Nurul Farihan Mohamed, & Abdul Rahim Khairul Anuar. (2024). Applications of Linear Programming on Diet Problem for Subways’ Sets Menu in Malaysia. Journal of Advanced Research in Applied Sciences and Engineering Technology, 41(2), 1–6. https://doi.org/10.37934/araset.41.2.16

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Articles