Aplikasi Pengaturan Menu Makanan Diet Menggunakan Metode Genetic Algorithm berbasis Android

Nita Hidayat, Andreas Handojo, Anita Nathania Purbowo

Abstract


A diet is a healthy lifestyle that helps people control their eating habits with losing weight as the main goal. As time goes on, diet has also been developed into various types and each type of diet even has specific goals for people certain allergies or diseases. However, often people are less able to apply a good and correct diet because they do not know what type of diet is suitable and how to set the right food menu.

To help people go on a diet, an application is made that can adjust the diet food menu according to the person's condition based on the profile data entered into the application. The method used in creating the diet menu is Genetic Algorithm. This diet application was created and developed for smartphone. The results of the application will provide a food menu arrangement for a week in accordance with user profile data.

The test results show that the factors that influence the length of time running the Genetic Algorithm process are the number of epochs and the number of population used. The greater the number of epochs or the amount of population used, the longer the running time duration of the Genetic Algorithm process.


Keywords


Genetic Algorithm; Diet; Menu; Android

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References


Bjarnadottir, Adda. 2016. 9 Popular Weight Loss Diets Reviewed by Science. Retrieved 29 November 2018 from https://www.healthline.com/nutrition/9-weight- loss-diets-reviewed#section2.

Bruso, Jessica. 2017. What Factors Contribute to How Many Calories to Consume? Retrieved 29 November 2018 from https://healthyeating.sfgate.com/factors- contribute-many-calories-consume-2826.html.

Coyle, Daisy. 2017. A Beginner’s Guide to the Low-Glycemic Diet. Retrieved 29 November 2018 from https://www.healthline.com/nutrition/low- glycemic-diet.

Frary, Carol & Johnson, Rachel. 2015. Physical activity for children: What are the US recommendations?. Nutrition Bulletin. 25. 329 – 334.

Galih, Alfin. 2015. Analysis and Design for Food Planning Mobile Application. Retrieved 29 November 2018 from ps://www.sciencedirect.com/science/article/pii/S1 877050915020918.

Haupt, Randy L, & Haupt, Sue Ellen. 2014. Practical Genetic Algorithm, (3nd ed). Wiley-Interscience.

Jakubowicz, D., Barnea, M., Wainstein, J., & Froy, O. 2014. High Caloric intake at breakfast vs. dinner differentially influences weight loss of overweight and obese women: Effect of High- Calorie Breakfast vs. Dinner. Obesity, 21(12), 2504–2512. https://doi.org/10.1002/oby.20460.

L. Kahtleen, Mahan, & Slyva, Escott Stump. 2017. Food, Nutritoin, & Diet Therapy (14th ed). Saunders.

Mallawaarachchi, Vijini. 2017. Introduction to Genetic Algorithms including Example Code. Retrieved 28 November 2018 from https://towardsdatascience.com/introduction-to- genetic-algorithms-including-example-code- e396e98d8bf3.

Mawer, Rudy. 2018. The Ketogenic Diet: A Detailed Begineer;s Guide to Keto. Retrieved 29 November 2018 from https://www.healthline.com/nutrition/ketogenic- diet-101.

MayoClinicStaff. 2015. DASH Diet: Healthy Eating to lower your blood pressure. Retrieved 29 November 2018 from https://www.mayoclinic.org/healthy- lifestyle/nutrition-and-healthy-eating/in- depth/dash-diet/art-20048456.

Millis, Harry. Factors Determining Weight. Retrieved 28 November 2018 from https://www.mentalhelp.net/articles/factors- determining-weight.

Russel, Stuart & Norvig, Peter. 2014. Artificial Intelligence: A Modern Approach (4th ed). NJ: Prentice Hall.

Soon-Myung Hong, Gon Kim. 2014. Web Expert System for Nutrition Counseling and Menu Management. 121–129. https://doi.org/10.4162/nrp.2008.2.2.121.

Tse, Iris. 2016. Diets that Fight Disease. Retrieved 29 November 2018from https://www.livescience.com/35457-diets-that- fight-disease-110208.html.


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