Sia, Erwin Ruslim and Hansun, Seng (2014) RANCANG BANGUN APLIKASI PERAMALAN NILAI SAHAM MENGGUNAKAN ALGORITMA KALMAN FILTER. Komputa : Jurnal Ilmiah Komputer dan Informatika, 3 (2). ISSN 2715-7849
Full text not available from this repository.Abstract
Every prediction have different probability, including prediction in stock market. In order to give the best prediction with the highest probability, we try to determine how Kalman Filter, an algorithm that uses recursive function to predict future value, produce high probability in predicting stock price. There are two set of data companies that are used in this application, namely XL Axiata Tbk. with success percentage at 95,83%, and Astra Agro Lestari Tbk. with success percentage at 95,07%. This application is developed using C# programming language and SQL SERVER.
| Item Type: | Article |
|---|---|
| Subjects: | 000 Computer Science, Information and General Works > 000 Computer Science, Knowledge and Systems > 005 Computer Programming 300 Social Sciences > 330 Economics > 332 Financial Economics (Shares, Investment) |
| Divisions: | Faculty of Engineering & Informatics > Informatics |
| Depositing User: | Administrator UMN Library |
| Date Deposited: | 21 Oct 2021 01:38 |
| Last Modified: | 21 Oct 2021 01:38 |
| URI: | https://kc.umn.ac.id/id/eprint/18897 |
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