# Face Recognition in Mobile-Based Test Systems Using FaceNet
> Putra S.A.

URL kanonis: https://discover.unhas.ac.id/publications/face-recognition-in-mobile-based-test-systems-using-facenet
Jurnal / Konferensi: Proceedings International Conference on Education and Technology ICET
Tahun terbit: 2022
DOI: https://doi.org/10.1109/ICET56879.2022.9990684
ISSN: 27704807
Citations: 1

## Authors
- Putra S.A.

## Abstract
Almost all activities are currently implemented with applications, including the implementation of exams, especially the covid-19 pandemic has caused online exams to have begun to be widely used by various kinds of educational institutions, online exams are carried out generally using computer devices that require a lot of devices and space for infrastructure. This study aims to create an online exam system that is simple and easy to do by utilizing mobile devices. This system utilizes the face recognition feature for security and minimizes the occurrence of fraud. The method used is FaceNet taking an input image quality of 160x160 pixels with an accuracy percentage of 85.7%.

## Keywords
- Computer science
- Facial recognition system
- Mobile device
- Face (sociological concept)
- Pixel
- Feature (linguistics)
- Multimedia
- Quality (philosophy)
- Test (biology)
- Artificial intelligence
- Feature extraction
- Computer vision
- Computer security
- Operating system
- Sociology
- Social science
- Philosophy
- Paleontology
- Epistemology
- Biology
- Linguistics

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Sumber: Discover Unhas — RIMS Universitas Hasanuddin.
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