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All Journal Bulletin of Electrical Engineering and Informatics Indonesian Journal of Electrical Engineering and Computer Science
Nurul Akmal Mohamed
Universiti Pendidikan Sultan Idris
Electrical & Electronics Engineering

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Cheap vs healthy: Analyzing McDonald’s menu using linear programming Nur Fadhilah Ibrahim; Thurga Dewi Arunasalan; Nurul Akmal Mohamed
Bulletin of Electrical Engineering and Informatics Vol 9, No 2: April 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (399.783 KB) | DOI: 10.11591/eei.v9i2.2072

Abstract

The factors that influence food choices nowadays are time, cost and deliciousness. An obvious example is fast food. Although consumers are aware that fast food is not a healthy choice, many still chooses fast food because it is convenient. Therefore in this paper, by using linear programming, we analyzed McDonald’s Malaysia menu in order to find the cheapest menu and the ‘healthiest’ menu. We developed a linear programming model for McDonald’s Malaysia menu which adheres to Malaysia Recommended Nutrient Intake 2017 (RNI 2017). Then we solved the model and proposed the cheapest menu and also the ‘healthiest’ menu that meets the nutrient requirement based on RNI 2017. The result showed that price for the cheapest palatable menu is RM21.69 a day. For set menu, we found that no menu meets this requirement, suggesting that McDonald’s set menu should not be taken three times a day. The price for the ‘healthiest’ McDonald’s menu with the least total of fat, sugar and salt that meets the nutrient requirement is RM42.99 a day.
Application of the simplex method on profit maximization in Baker's Cottage Nur Zafira Mohd Azman; Nurul Akmal Mohamed; Nurul Farihan Mohamed; Muzirah Musa
Indonesian Journal of Electrical Engineering and Computer Science Vol 27, No 2: August 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v27.i2.pp1034-1042

Abstract

Linear programming is an operational research technique widely used to identify and optimize management decision. Its application encourages businesses to increase their output. Instead, however, many organizations most commonly adopt the trial-and-error method. As such, companies find it challenging to distribute scarce resources in a manner that maximizes profit. This study focuses on implementing linear programming to optimize the profit of a manufacturing sector based on the optimized (best possible, efficient) use of raw materials. Our study uses the data gathered on five market bread types from Baker's Cottage reports, i.e., chicken floss, spicy floss, Frank Cheese, Mexico bun, and doughnut. This attribute has been recognized as a linear programming problem mathematically built that was solved using Excel software. The result showed that the Baker’s Cottage unit had to produce 332 loaves of Chicken Floss and 196 loaves of Frank Cheese, as these products objectively contributed to the profit. In contrast, other types of bread did not have to be produced, as their value turned to zero to achieve the maximum monthly profit.
Co-Authors Muzirah Musa Nur Fadhilah Ibrahim Nur Zafira Mohd Azman Nurul Farihan Mohamed Thurga Dewi Arunasalan