WIHARTANTO, MICHAEL LEONARDO (2019) DECISION SUPPORT METHOD OF BEARING STOCK USING NAIVE BAYES ALGORITHM. Other thesis, UNIKA SOEGIJAPRANATA SEMARANG.
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Abstract
Bearing’s price keeps increasing day by day , it can be called as passive income with low risk and high gain income. Therefore the market demand keeps increasing day by day and some UD can not adjust their stock supply with market demand that keeps increasing day by day , the income of the UD will slowly decreasing than before because of limited stock or lack of stock to fulfilling the market demand. The problem in this project is UD Buana Mas can not adjust their bearing stock with the market demand that keeps increasing day by day. To solve the problem , this project use Naive Bayes as the Algorithm or method using 3 parameters and 2 classifications. This project use 3 classifications to compare which classification has higher accuracy between 2 classifications and 3 classifications. The result of this project is Bearing Stock prediction result for future month and Naive Bayes accuracy result between two different type of classifications . Keyword : Naive Bayes , Stock , Prediction , Classifications
| Item Type: | Thesis (Other) |
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| Subjects: | 300 Social Sciences > 330 Economics > Financial Economics > Stock Exchange |
| Divisions: | Faculty of Computer Science > Department of Informatics Engineering |
| Depositing User: | Mr Lucius Oentoeng |
| Date Deposited: | 10 Jul 2019 08:02 |
| Last Modified: | 19 Nov 2020 02:19 |
| URI: | http://repository.unika.ac.id/id/eprint/19650 |
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