Rusli, Monica Stevani (2013) Prediction of Online Shop Pre-Order Items with Apriori Algorithm. Other thesis, Unika Soegijapranata Semarang.
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Abstract
Online shop is booming in social media like facebook, twitter, etc. Via online shop, buying and selling can be done without knowing the seller and the buyer. Recently, online shop not only sell the items such as clothes (fashion), but all items can be sold in the online shop. Because of many items, sometimes online shop seller feels confused to determine the items to sell in online shop. This application can facilitate online shop seller to predict what items can be sold in online shop. This project is using PHP Object languange programming, array list as a data structure, and Apriori Algorithm. The result of this project is prediction of items name which often bought at the same time. How to get items name that often bough is with join 2 items name and join 3 items name thay allowed minimal support. So, after this in the next pre order, the online shop seller do not need to sell too much items, just sell the items which often bought
| 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 |
| Depositing User: | Mrs Christiana Sundari |
| Date Deposited: | 16 Oct 2018 08:13 |
| Last Modified: | 16 Oct 2018 08:13 |
| URI: | http://repository.unika.ac.id/id/eprint/17082 |
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