Aplikasi Rekomendasi Resep Menu Meal Plan Berdasarkan TDEE dan Zat Gizi Makro Pengguna Berbasis Web Dengan Pendekatan MCDA Dan EgoSimilar+
(1) Program Studi Teknik Informatika, Universitas Kristen Petra Surabaya
(2) Program Studi Teknik Informatika, Universitas Kristen Petra Surabaya
(3) Program Studi Teknik Informatika, Universitas Kristen Petra Surabaya
(*) Corresponding Author
Abstract
Public awareness in Indonesia of the importance of a healthy lifestyle is getting higher today. Having a healthy and ideal body is the dream of people in Indonesia. One way to achieve a healthy and ideal body is to control the intake of calories, carbohydrates, protein and fat in the food consumed (TDEE and macronutrients). Everyone has different needs for TDEE and macronutrients. It is difficult to meet macro needs in accordance with the daily calorie TDEE if you do not understand how to arrange a daily food menu. TDEE and macronutrients should not be lacking nor should they be in excess, while the composition of each macro has a different calorific value for each gram unit in each food ingredient.
The meal plan menu recommendation system uses EgoSimilar+ and AHPSort which is the MCDA approach, the method used in this study is used to build the "Dahar" application which is the meal plan recommendation application in this study.
The results of the application and the methods used in this application are able to provide recommendations for meal plans with a tolerance of 10% calorie difference. From a scale of 1 to a scale of 5 with the meaning of a scale of 5 being the highest value, a user survey was conducted on the application and recommendation system. From the survey results, the average user satisfaction is 4.45 out of 104 respondents with the dominating scale values being scale 4 and scale 5.
Keywords
Full Text:
PDFReferences
Andra Farm. Andra Farm. URI= https://www.andrafarm.com/_andra.php?_i=daftar-usda.
Anderson, A. M., & Earle, M. D. 1983. Diet Planning in the Third World by Linear and Goal Programming. The Journal of the Operational Research Society, 34(1), 9–16. DOI= 10.2307/2581598.
Athanasopoulou, Georgia & Koutsakis, Polychronis. 2015. eMatch: An Android Application for Finding Friends in Your Location. Mobile Information Systems, vol.25, 1-11. DOI= 10.1155/2015/463791.
Baltschun, Yulia. I Hate Diet. 2020. Bali: Ananas Maharta Indonesia.
Bana e Costa , Carlos A. & Jean-Claude Vansnick. 2008. A critical analysis of the eigenvalue method used to derive priorities in AHP. European Journal of Operational Research, vol. 187(3), pp 1422-1428. DOI= 10.1016/j.ejor.2006.09.022.
Desthi, Diah Intani, et al. 2019. Hubungan Asupan Makan Dan Aktivitas Fisik Dengan Status Gizi Peleton Inti Smp N 5 Yogyakarta. (Thesis). Poltekkes Kemenkes Yogyakarta. URI= http://eprints.poltekkesjogja.ac.id/1333/4/Chapter%202.pdf.
Fardet, A., & Boirie, Y. 2014. Associations between food and beverage groups and major diet-related chronic diseases: an exhaustive review of pooled/meta-analyses and systematic reviews. Nutrition reviews, 72(12), 741–762. DOI= 10.1111/nure.12153.
Frankenfield, David et al. 2005. Comparison of predictive equations for resting metabolic rate in healthy nonobese and obese adults: a systematic review. J. Am Diet Assoc. DOI= 10.1016/j.jada.2005.02.005.
Fletcher, J. 2020. Calculating how many calories are burned in a day. MedicalNewsTiday. URI= https://www.medicalnewstoday.com/articles/319731.
Geoff Coyle: Practical Strategy. The Analytic Hierarchy Process (AHP). URI= https://training.fws.gov/courses/references/tutorials/geospatial/CSP7306/Readings/AHP-Technique.pdf .
Hidayat, N., Andreas H., Anita N.P. 2020. Aplikasi Pengaturan Menu Makanan Diet menggunakan Metode Genetic Algorithm berbasis Android. Surabaya, Indonesia: Universitas Kristen Petra.
Iallonardo, M. 2020. What is the difference between veganism and vegetarianism? The health benefits and downsides of each. INSIDER . URI= https://www.insider.com/what-is-the-difference-between-vegan-and-vegetarian.
Ishizaka, Alessio, Craig P., Philippe N. 2012. AHPSort: an AHP based method for sorting problems. International Journal of Production Research, vol. 50(17), pp 4767-4784. DOI=10.1080/00207543.2012.657966.
Ishizaka, Alessio & Lusti, Markus. 2006. How to derive priorities in AHP: A comparative study. Central European Journal of Operations Research, vol. 14, pp 387-400. DOI=10.1007/s10100-006-0012-9 .
Kementerian Kesehatan RI . 2018. Tabel Komposisi Pangan Indonesia 2017. Jakarta: Author. URI= https://kesmas.kemkes.go.id/konten/133/0/020419-update-data-komposisi-pangan-indonesia.
Mohan, Jag. 2019. An approach : Diet (Meal Planning) Recommender System . URI= https://medium.com/@jag.mohan.2603/an-approach-diet-meal-planning-recommender-system-d47a026b959d .
Nugroho, Robertus A. 2015. Prototipe Sistem Rekomendasi Menu Makanan dengan Pendekatan Contextual Model dan Multi-Criteria Decission Making. Depok, Indonesia: Universitas Sanata Dharma.
Purnomo, Herdaru. 2019. Artificial Intelligence Itu Apa Sih ? Robot ?. CNBC Indonesia. URI= https://www.cnbcindonesia.com/profil/20190908023128-41-97841/artificial-intelligence-itu-apa-sih-robot.
Putri, Tri Oktariani A.Md.Gz. Belajar Menghitung Makronutrisi. URI= https://apki.or.id/belajar-menghitung-makronutrisi/.
Rita, Luís. 2020. Building a Food Recommendation System. URI= https://towardsdatascience.com/building-a-food-recommendation-system-90788f78691a .
Saaty, Thomas L. & Jennifer S. S. 2011. An innovative orders-of-magnitude approach to AHP-based mutli-criteria decision making: Prioritizing divergent intangible humane acts. European Journal of Operational Research, vol. 214(3), pp 703-715. DOI= 10.1016/j.ejor.2011.05.019
Sutoyo, Muh. Nurtanzis. 2020. Aplikasi Pengaturan Menu Makanan Diet menggunakan Metode Genetic Algorithm berbasis Android. Surabaya, Indonesia: Universitas Kristen Petra.
Tello, Dr. Monique. 2020. Healthy lifestyle: 5 keys to a longer life. URI= https://www.health.harvard.edu/blog/healthy-lifestyle-5-keys-to-a-longer-life-2018070514186 .
Tsakalakis, G., Koutsakis, P. 2018. Improved user similarity computation for finding friends in your location. Human-centric Computing and Information Science, vol. 8(1). DOI= 10.1186/s13673-018-0160-7
Toledo, Raciel Y. , Ahmad A. A., Luis M. 2019. A Food Recommender System Considering Nutritional Information and User Preferences. IEEE Access, vol. 7, pp. 96695-96711, 2019, DOI= 10.1109/ACCESS.2019.2929413.
Tran, Thi N. T., Müslüm A., Alexander F., Martin S. 2018. An overview of recommender systems in the healthy food domain. Journal of Intelligent Information Systems, vol. 50, pp 501–526. DOI= 10.1007/s10844-017-0469-0 .
Wang L., R. M. Rodríguez, and Y. M. Wang. 2018. Adynamic multi-attribute group emergency decision making method considering experts’ hesitation. International Journal of Computational Intelligence Systems, vol. 11, pp. 163–182. DOI= 10.2991/ijcis.11.1.13
Yang, Longqi. et al. 2017 . Yum-Me: A Personalized Nutrient-Based Meal Recommender System. ACM Transactions on Information Systems, vol. 36(1), pp 1-31 . DOI= 10.1145/307261
Refbacks
- There are currently no refbacks.
Jurnal telah terindeks oleh :
