Ermatita, Ermatita and Dedik, Budianta (2017) Fuzzy Knuth Moris pratt algorithm for knowledge management system model on knowledge heavy metal content in oil plants. In: 2017 International Conference on Electrical Engineering and Computer Science (ICECOS), 22-23 Aug 2017, Universitas Sriwijaya.
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Abstract
Knowledge Management system is a system that can help to accommodate and store knowledge. Storage of useful knowledge for the business processes necessary to sustain existing knowledge. Knowledge management system can accommodate knowledges, so that if needed at any time can be reused. Storage of knowledge in this system, to get it back to do a search string to facilitate the search for knowledge needed. String search method in this study with Fuzzy Algorithm Knuth Morris pratt. In the study, Fuzzy Knuth Morris Pratt algorithm used for modeling knowledge management system in the heavy metal content of oil crops. Application of fuzzy search string vague where the string matched only have similar characters determined by the method Knuth Morriss Pratt. The analysis of the heavy metal content can be performed to determine the content of heavy metal in the oil palm. By knowing the content of heavy metals in soil, plants and oil palm fresh fruit bunches then mitigation solutions can be determined accurately. The results of this research is the search string matching method with Fuzzy Algorithm Knuth Morriss Pratt on the model of Knowledge Management System that stores a variety of knowledge and experience about the metal content and solutions to overcome them. Novelty in this research is the application of Knuth Morris pratt algorithm combined with fuzzy knowledge on modeling heavy metal content in the palm. So the search for the Knowledge Management System can be done more quickly and accurately
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Uncontrolled Keywords: | Knuth Morris Pratt; Knowledge Management; KMS. |
| Subjects: | Q Science > QA Mathematics > QA75-76.95 Calculating machines > QA75.5.A142 Computer science. Information society. Information technology. |
| Divisions: | 09-Faculty of Computer Science > 57201-Information Systems (S1) |
| Depositing User: | Dr Ermatita zuhairi |
| Date Deposited: | 15 Mar 2022 08:02 |
| Last Modified: | 15 Mar 2022 08:02 |
| URI: | http://repository.unsri.ac.id/id/eprint/66181 |
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