Prasetyo, Christian and Istiono, Wirawan (2021) Fitness Exercise Recommendation System Using Weighted Products. International Journal of Emerging Trends in Engineering Research, 9 (9).
Full text not available from this repository.Abstract
The corona virus pandemic that has been going on since the beginning of 2020 has changed everyone's lifestyle. Even though we are allowed to do activities with health protocols, many people are used to being at home and not exercising so they gain weight. There are also those who want to do fitness exercises but are confused in choosing what type of exercise is appropriate. Doing exercise regularly can help us burn excess calories, but we can't just go on a diet, one of which is to train in the fitness center. So this study discusses the design of a fitness exercise recommendation system using the web-based Weighted Product method. The Weighted Product method evaluates several alternatives to several attributes or criteria, where each attribute is independent of each other. Based on the results of the evaluation of the recommendation system questionnaire to get a success rate of 83.89%, so it can be ascertained that the fitness training recommendation system is successful in implementing the Weighted Product method.
| Item Type: | Article |
|---|---|
| Subjects: | 000 Computer Science, Information and General Works > 000 Computer Science, Knowledge and Systems > 006 Special Computer Methods 700 Arts and Recreation > 790 Outline of Sports, Games and Entertainment > 796 Athletic (Gymnastics, Weight Lifting) and Outdoor Sports and Games |
| Divisions: | Faculty of Engineering & Informatics > Informatics |
| Depositing User: | Administrator UMN Library |
| Date Deposited: | 15 Oct 2021 03:23 |
| Last Modified: | 15 Oct 2021 03:23 |
| URI: | https://kc.umn.ac.id/id/eprint/18790 |
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