ARASPBERRY PI-BASED FACE RECOGNITION BY USING EIGENFACE ALGORITHM TO DETECT CHEATING ON EXAMS

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dc.contributor.authorNugraha, Egi
dc.contributor.authorFirmansyah, Fauzan Aziz
dc.contributor.authorHikmatulloh, Hadi
dc.contributor.authorRiswanto, Wawan
dc.contributor.authorWibowo, Ari Purno Wahyu
dc.date.accessioned2021-02-23T00:43:06Z
dc.date.available2021-02-23T00:43:06Z
dc.date.issued2020
dc.description.abstractCheating is an act of lying, trickery or coercion carried out to create an unfair advantage, often at the expense of someone else. A common area for frequent cheating is in examinations. Currently, supervision in examinations has been improved, but it is still difficult for supervisors to find out who actually cheated the exam. The identity fraud technology used in exams is getting more advanced. Jockeying is a common method often used for cheating on exams. Therefore, how to correctly identify the fake identity has become a difficult problem. Based on several studies that have been conducted, we developed face recognition as a test fraud detector. Where to design the raspberry pi and picamera as tools for taking pictures, then the data is processed and its status determined using the eigenface algorithm which will then send the data to the database server. So it can be proven that when a participant is detected cheating, the system will automatically lock the exam process.en_US
dc.identifier.issn0038-111X
dc.identifier.urihttp://repository.widyatama.ac.id/xmlui/handle/123456789/12800
dc.language.isoenen_US
dc.publisherSolid State Technology Volume: 63 Issue: 4en_US
dc.subjectExam Cheatingen_US
dc.subjectFace Recognitionen_US
dc.subjectRaspberry pien_US
dc.subjectEigenfaceen_US
dc.titleARASPBERRY PI-BASED FACE RECOGNITION BY USING EIGENFACE ALGORITHM TO DETECT CHEATING ON EXAMSen_US
dc.typeArticleen_US
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