| dc.description.abstract |
In today's digital era, a marketing strategy must be owned by every thrifshop / store in order to predict the results of products that will be sold in the future. In predicting data, effective and efficient data processing is needed, one technique in processing data in data mining is naïve bayes. Naive bayes can classify data according to the categories used so that researchers can predict the results of goods sales. With sales data for the last 2.5 years, researchers divided the data into 900 traning data and 209 testing data as data testing, so the classifier test results were obtained as 0.598 in accuracy, 0.493 in classification accuracy, 0.472 in F1, 0.557 in precision and 0.493 in recall. Researchers used the orange app to test and visualize the results of sales predictions 1/2 year later.
Keywords : Marketing Strategy, Data Mining, Naive Bayes, Orange
| en_US |
