Implementasi Algoritma Apriori Pada Penyusunan Menu Makanan Rumah Makan Prasmanan
| Autor: | Asriyanik Asriyanik, Asep Budiman Kusdinar, Daris Riyadi |
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| Rok vydání: | 2020 |
| Zdroj: | Jurnal Teknik Informatika dan Sistem Informasi. 6 |
| ISSN: | 2443-2229 2443-2210 |
| DOI: | 10.28932/jutisi.v6i2.2742 |
| Popis: | A buffet restaurant is a restaurant that provides buffet food that is served directly at the dining table so that customers can order more food according to their needs. This study uses the association rule method which is one of the methods of data mining and a priori algorithms. Data mining is the process of discovering patterns or rules in data, in which the process must be automatic or semi-automatic. Association rules are one of the techniques of data mining that is used to look for relationships between items in a dataset. While the apriori algorithm is a very well-known algorithm for finding high-frequency patterns, this a priori algorithm is a type of association rule in data mining. High- frequency patterns are patterns of items in the database that have frequencies or support. This high-frequency pattern is used to develop rules and also some other data mining techniques. The composition of the food menu in the Asgar restaurant is now arranged randomly without being prepared on the food menu between one another. The result of this research is to support the composition of the food menu at the Asgar restaurant so that it is easier to take food menu with one another. |
| Databáze: | OpenAIRE |
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