Improving of Anticancer Compound Identification Model for Medicinal Plant^s LCMS Data Iwan Binanto
Sanata Dharma University
Abstract
The development of an identification tool for anticancer chemical compounds on LCMS data of Medicinal Plant has been successfully carried out in previous studies. It needs further improvement especially in software architecture caused by utilizing Webscraping technique to get data. The utilized of this technique caused in frequent disconnections. Because it is considered as a Denial of Service attack. This paper provides a design to improve the existing architecture so that identification devices can run more smoothly and quickly without being suspected of being a Denial of Service attack. For this reason, a new model was developed from the previous model. The new model is 96.1% faster than the old one for labeling data. This provides huge efficiencies.
