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This research presented a system for extracting terms and classifying documents of medicinal plants using chi-square and naive bayes classifier. The system was tested on two criteria: medicinal plant families and their uses for medication. An accuracy of 97.44% was achieved for classifying families and 89.74% for uses, using a significance level of 0.001 for chi-square feature selection. The classified documents were then used to build an information retrieval system for Indonesian medicinal plants, which a

Author

Mahmud

Language

EN