Mardhavi, Arif (2024) IMPLEMENTASI FUZZY LOGIC UNTUK PEMERIKSAAN GIZI BERDASARKAN INDEKS MASSA TUBUH PADA APLIKASI FITPRIORITY. Undergraduate thesis, UPN Veteran Jawa Timur.
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Abstract
Public awareness of the importance of leading a healthy lifestyle and exercising has significantly increased in recent years. However, various issues such as a lack of understanding of proper exercise techniques and nutrition that do not align with fitness goals remain prevalent. To address these challenges, this study designs a web-based application called Fitpriority to connect users with professional trainers. One of the main features of this application is a nutritional status check based on Body Mass Index (BMI). This algorithm was chosen for its ability to tolerate small changes in nutritional values, unlike the rigid traditional logic methods. The study employs the Mamdani method to determine nutritional status through the processes of fuzzification, implication function application, rule aggregation, and defuzzification using the centroid method. Additionally, the System Usability Scale (SUS) method is used to assess the usability and user experience of the developed application. The results of this study are expected to provide an effective solution for individuals aiming to achieve their fitness goals more efficiently and comfortably, and to serve as a valuable tool for a wide range of users in maintaining optimal physical health and fitness.
Item Type: | Thesis (Undergraduate) | ||||||||||||
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Subjects: | Q Science > QA Mathematics > QA76.6 Computer Programming T Technology > T Technology (General) |
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Divisions: | Faculty of Computer Science > Departemen of Informatics | ||||||||||||
Depositing User: | Mr. Arif Mardhavi | ||||||||||||
Date Deposited: | 19 Sep 2024 08:49 | ||||||||||||
Last Modified: | 19 Sep 2024 08:49 | ||||||||||||
URI: | https://repository.upnjatim.ac.id/id/eprint/29574 |
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