International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 178 - Number 35 |
Year of Publication: 2019 |
Authors: Yuli Nur Indah Sari, Agung Triayudi, Ira Diana Sholihati |
10.5120/ijca2019919228 |
Yuli Nur Indah Sari, Agung Triayudi, Ira Diana Sholihati . Implementation of Data Mining to Predict Food Sales Rate Method using Apriori. International Journal of Computer Applications. 178, 35 ( Jul 2019), 22-28. DOI=10.5120/ijca2019919228
Fonzu Premium restaurant management has had difficulty in knowing the which menus are most in demand by consumers and still uses manual methods, and sometimes customers can not order the desired order Because some of the menus on the menu list are up or some raw material supplies are not available. Apriori algorithm is one algorithm that searches frequent itemset by using the association rule technique. Based on the results of implementing the association rule method using a priori algorithm to find the linkages between the level of sales menu Fonzu Premium ordered at restaurants. With this association rule, it is expected to help the managerial parties to find out the which menus are most in demand by consumers, so a system can be used the which can be used as a prediction system using data mining association rule Apriori algorithm using.