Open AccessApplication of the case based reasoning & sorensen-dice coefficient method for fitness exercise program
Author(s) -
Dodi Salim,
Novario Jaya Perdana,
Bagus Mulyawan
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1007/1/012188
Subject(s) - computer science , physical fitness , reuse , process (computing) , dice , selection (genetic algorithm) , artificial intelligence , machine learning , statistics , medicine , physical therapy , engineering , mathematics , programming language , waste management
Fitness Training Program Recommendation is a web-based system using C # language and SQL Server database that can help find the results of fitness training program recommendations for system users. The making of this application aims to recommend a fitness training program in accordance with input data that are considered attributes in the selection of fitness training programs, gender, age, weight, height, sports activities, and muscle specialization. The making of this application uses the system development method of system development life cycle and the process of selecting an exercise program using the case based reasoning method with the stages of retrieve, reuse, revise, retain and rule base methods to determine the results of a more optimal fitness training program recommendation. The results of testing the fitness exercise recommendation system programs that are based on the user as a whole shows 51.14% of respondents stated strongly agree, 40.19% of respondents agreed that the system was able to recommend a fitness training program and provide information needed by the user.