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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Mustafidah, H. Suwarsito |
| Copyright Year | 2010 |
| Description | Author affiliation: Information Technology Dept, Muhammadiyah University of Purwokerto, Indonesia Dukuhwaluh Street, P. O. Box 202 Purwokerto, Central of Java, Indonesia (Mustafidah, H.) || Geography Dept., Muhammadiyah University of Purwokerto, Indonesia Dukuhwaluh Street, P. O. Box 202 Purwokerto, Central of Java, Indonesia (Suwarsito) |
| Abstract | At the present time, fish disease information in Indonesia is limited and just documented partially in research reports, journals, and books. Otherwise, the latest and complete information about problem of fish disease were difficult to get by fish farmers, related agencies, and research groups. The limited dissemination of information on fish diseases had caused difficulties to controlling fish diseases in Indonesia. Therefore, it was needed to develop the computer programs or software to identify and controlling fish diseases in Indonesia. Software design method was using Based Reasoning Case (CBR). CBR scheme includes retrieve, reuse, revise, and retain. The retrieve stage of the cases used the nearest neighbor technique. This system has been built conceptually as basis for further programming development. By these methods, a variety of fish disease cases will be processed by computer systems based on similar cases that occurred formerly, and will be given the appropriate solution. |
| Starting Page | 1 |
| Ending Page | 5 |
| File Size | 475471 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424493357 |
| e-ISBN | 9786029747911 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-08-02 |
| Publisher Place | Indonesia |
| Access Restriction | Subscribed |
| Rights Holder | University Sains Malaysia |
| Subject Keyword | Marine animals Diseases Cognition Computers Aquaculture Databases Skin nearest neighbor technique fish diseases control CBR |
| Content Type | Text |
| Resource Type | Article |
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