Kristianto, Wahyu Jenius (2019) CAR PURCHASE RECOMMENDATION SYSTEM USING C.45 ALGORITHM. Other thesis, UNIKA SOEGIJAPRANATA SEMARANG.
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Abstract
The main difficulty of this research is determining the best selling car. The number of categories / various types of cars sold every month makes it difficult to determine market desires. This makes it difficult for the company to make a stock that best suits the needs of the consumer / target market. C 4.5 algorithm is a calculation to predict the possibilities that occur. The category used comes from the owner of the company, with the contents of the categories as follows: Brand, Type, Model, Year, Color. With a customized category from the owner of the company, it can find out the consumer's interest in a product more specifically. This research produces various kinds of predictions from the calculation of C 4.5, which will be compared with the original sales data for a selected month. And predictions are made using "Tree", making it easier to see the order of decisions taken by the algorithm. Last is testing which contains the results of a comparison between the original data and the results of the algorithm prediction. Keyword: C 4. 5 Algorithm, Showroom, Prediction, Tree, Data Mining
| Item Type: | Thesis (Other) |
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| Subjects: | 000 Computer Science, Information and General Works > 005 Computer programming, programs & data > Information Systems |
| Divisions: | Faculty of Computer Science > Department of Informatics Engineering |
| Depositing User: | Mr Lucius Oentoeng |
| Date Deposited: | 03 Dec 2019 08:45 |
| Last Modified: | 13 Oct 2020 07:08 |
| URI: | http://repository.unika.ac.id/id/eprint/20553 |
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