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FREOP (FACE RECOGNITION IN EXAMINATION ONLINE PROCTOR)

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dc.contributor.author Almuhdor, Achmad Thoriq
dc.date.accessioned 2021-08-23T05:12:16Z
dc.date.available 2021-08-23T05:12:16Z
dc.date.issued 2020
dc.identifier.uri http://repository.president.ac.id/xmlui/handle/123456789/3722
dc.description.abstract Every day, technologies always grow more advanced than ever before. At first, technologies can only write and save data, but now, technologies can also recognize its user from voice, fingerprint, and face. In the world of academics, an examination is a test to see whether the student learns and understands the thing they know in the last few months or weeks and see their latent potential by solving the question. At first, the test is written and verbal tests, but the test evolves with technologies in due time. Face recognition, one of the latest technologies that is used for facial identification, is one of the vital keys in academic structure and to this application. This thesis will develop A face recognition type of program linked to academics, which is Online proctoring. This thesis is created to combine Face Recognition and online proctoring, and this application has three main aspects: Face Recognition, Email and Online Proctoring en_US
dc.language.iso en_US en_US
dc.publisher President University en_US
dc.relation.ispartofseries Information Technology;001201700028
dc.title FREOP (FACE RECOGNITION IN EXAMINATION ONLINE PROCTOR) en_US
dc.type Thesis en_US


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