| dc.description.abstract |
Santi fotocopy is a retail or shop that sells various types of office stationery and also often serves document duplication and binding. However, Santi Fotocopy still often uses manual records to carry out the prediction process on items that will be re-stocked, but due to frequent errors in data collection, the stocks that are carried out are often inaccurate, so the Santi Fotocopy shop suffers losses from manual stock recording. With the problems with Santi Fotocopy, the analysis process for stock inventory will be carried out using data mining techniques, namely the Apriori algorithm. The a priori algorithm is a data mining method that draws conclusions using association rules so as to create if and then rules using support and confidence values. In the process of analysis on santi shop inventory, the support and confidence values are determined at 10% and 60%. The results of the research using the a priori algorithm produced 6 patterns of association rules where the highest sales were on Binder Paper and Binder which obtained a confidence value of 71.43%. By implementing the Apriori algorithm, Santi Fotocopy will be able to provide solutions in stocking the most frequently sold items at the store. This research can also use other algorithms as a comparison between the a priori algorithm and other algorithms.
Keywords: Apriori Algorithm, Stock Goods, Data Mining | en_US |
