| Abstrakt: |
With its various advantages and conveniences, the franchise business is a type of business that is in great demand by entrepreneurs today, especially the franchise business with the type of food and beverage, this makes many people who want to start a business interested in trying the franchise business, with many choices of food and beverage franchises. that exist, making many people feel confused about which franchise business is suitable according to the circumstances of prospective business actors. From these problems, the need for a decision support system that can help provide recommendations to prospective entrepreneurs about a suitable food and beverage franchise business. The criteria used for franchise data analysis are capital, outlets, bep, franchise fees, and profits. In this study, the data processing process uses the Simple Multi Attribute Rating Technique (SMART) method as a multi-attribute problem solving method. To determine the benchmark for the final result, the author made a questionnaire that had been filled in as many as 53, from the questionnaire there were 52 out of 53 or 98.1% of respondents who stated that the franchise business recommendation system really helped them to determine the type of business to be done, Then as many as 47 of 53 or 88.7% of respondents intend to seriously run a franchise business, and as many as 10 of 12 or 83.3% of respondents who have tried the application say this application is useful. [ABSTRACT FROM AUTHOR] |
