KNOWLEDGE-BASED FILTERING RECOMMENDER SYSTEM TO PROPOSE DESIGN ELEMENTS OF SERIOUS GAME

• Main Author: Utami Dewi Laseno, Fransiska
• Format: Theses
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/36856
• Institution: Institut Teknologi Bandung

Design elements of serious game recommender system is a web-based software to propose design elements of serious game to the system users. Design elements of serious game are components that required to design serious game such as features and game mechanics. The research about recommendation system for design elements of serious game is a relatively new research in serious game domain because research about recommendation system mainly for game players not for game designers. Many things need to be considered by serious game developer to make a game which can help the players to learn something. Knowledge-based filtering method is used to get result of design elements of serious game that match with the learning goal. The users of recommender system input learning goal, target player, and target age of the intended player to the recommender system. Recommendation system connects the design elements of serious game with game genre to provide suggestions to the user of recommender system. The level of success of the recommendation system is measured by input some constraints into the system and match the constraints with the result of recommendation produced by the system. Futhermore, crosscheck of the system functionalities was done to evaluate the system. According to the evaluation result, design elements of serious game recommender system was able to provide game mechanics and game features as the base of serious game designing which suitable with the learning content. Another result of evaluation showed that the design of the recommender system could be developed to be a design elements of serious game recommender system to propose design elements of serious game that match with the learning contents.