Searching Process using Bayer Moore Algorithm in Medicinal Information Media
Irma Anggraeni1, Mulyati2
1Irma Anggraeni, Department of Computer Science, Faculty of Mathematics and Science, Pakuan University, Indonesia.
2Mulyati, Department of Computer Science, Faculty of Mathematics and Science, Pakuan University, Indonesia.
Manuscript received on 02 August 2019 | Revised Manuscript received on 25 August 2019 | Manuscript Published on 05 September 2019 | PP: 30-32 | Volume-8 Issue-2S7 July 2019 | Retrieval Number: B10070782S719/2019©BEIESP | DOI: 10.35940/ijrte.B1007.0782S719
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Indonesia is one of the giant centers of biodiversity, there are many types of plants that can be used as a medicine. Based on medicinal plants collection of Bogor Botanical Garden which has the potential as medicine consists of 764 species, 465 genus and 135 families. So in search of herbs manually becomes difficult. Therefore, to facilitate the search for information about the plume of drugs, required an effective and easy to use information media by the community. In this research we used Boyer Moore algorithm to execute the searching process. This research shows the process of string matching using a Boyer-Moore algorithm in the form of visual simulation by doing string searching of a pattern string, The results show that the algorithm can be used to the searching process.
Keywords: Boyer Moore Algorithm, Medicinal Plant, Searching Process.
Scope of the Article: Algorithm Engineering