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STUDENTS DATA MONITORING WEB-BASED APP WITH THE IMPLEMENTATION OF BACK PROPAGATION MACHINE LEARNING

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dc.contributor.author Merta, I Wayan Surya Adi
dc.date.accessioned 2021-08-05T07:24:29Z
dc.date.available 2021-08-05T07:24:29Z
dc.date.issued 2020
dc.identifier.uri http://repository.president.ac.id/xmlui/handle/123456789/3559
dc.description.abstract Since the early 2000s, computers and other technologies have become daily necessities. The flow of information is quick and efficient, which makes it easy to obtain. It makes various things happening around us is valuable. But it needs some method to be extracted from raw data or value. Data Mining (DM) is the process of discovering information from a set of data using mathematical analysis. The implementation of data mining into an application is not a new idea. The data mining method is not considered a hard-to-find concept nowadays. However, the implementation of it for the educational issue is rarely developed. Educational Data Mining (EDM) is a newly emerging field that concerns with developing a method to discover knowledge from educational environments data. The implementation of this concept should create a more adaptive environment where the teachers can get any patterns or behaviors by analyzing the previous years and find a method to encounter it. en_US
dc.language.iso en_US en_US
dc.publisher President University en_US
dc.relation.ispartofseries information Technology;001201600029
dc.title STUDENTS DATA MONITORING WEB-BASED APP WITH THE IMPLEMENTATION OF BACK PROPAGATION MACHINE LEARNING en_US
dc.type Thesis en_US


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