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THE AUTOMATION MODEL FROM PHYSICAL TO DIGITAL DOCUMENTS FOR INFORMATION EXTRACTION PROCESS

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dc.contributor.author Forenziana, Jessica
dc.date.accessioned 2023-05-02T09:53:58Z
dc.date.available 2023-05-02T09:53:58Z
dc.date.issued 2022
dc.identifier.uri http://repository.president.ac.id/xmlui/handle/123456789/11287
dc.description.abstract Occasionally, gathering information from documents becomes a tedious chore. Especially when there are numerous varieties of information to be extracted, there is a lot of time being wasted in filtering them. In short, it might be an important task but such an inconvenient one to do. Thus, I propose a solution to that problem in the form of an application that automatically obtains, categorizes, and stores the information obtained from a single snap of the image with AOCR (Advanced Optical Character Recognition) technology and allows flexible use of the stored information in an easy manner. In relation to that, the research method that I'll be using is "Conceptual followed by Implementation". Hence, there are two major sections in my research: 1) Model Creation (Conceptual) and 2) Application Development (Implementation). en_US
dc.language.iso en_US en_US
dc.publisher President University en_US
dc.relation.ispartofseries Information Technology;001201800105
dc.title THE AUTOMATION MODEL FROM PHYSICAL TO DIGITAL DOCUMENTS FOR INFORMATION EXTRACTION PROCESS en_US
dc.type Thesis en_US


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