Fitness Exercise Recommendation System Using Weighted Products

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

Ontology-Based Recommender System for Personalized Physical Exercise in Obesity Management

“…Additionally, severe obesity can limit a person's mobility and lower their quality of life, which can worsen socioeconomic disadvantages and the unemployment rate (Sakinah et al, 2022). To enhance the populace's overall health and wellbeing, combating the obesity problem in Indonesia calls for a comprehensive strategy that encourages healthy lifestyles, increases awareness of proper nutrition, and promotes regular physical activity (Prasetyo & Istiono, 2021;Susilo et al, 2022).…”