INTEK: Informatika dan Teknologi Informasi
Vol. 5 No. 2 (2022)

Deteksi Wajah untuk Presensi Menggunakan Facial Landmark

Zulkhairi Zulkhairi (Universitas Teknologi Yogyakarta)
Rodhiyah Mardhiyyah (Unknown)
RR Hajar Puji Sejati (Universitas Teknologi Yogyakarta)
Adam Sekti Aji (Universitas Teknologi Yogyakarta)



Article Info

Publish Date
29 Nov 2022

Abstract

The Covid-19 virus is easily spread by direct contact with other people or not. One of the media that can transmit the covid virus in the office area is a fingerprint machine because the tool is used together. Presence data is one of the data that can be used to see employee performance. To reduce the risk of spreading the COVID-19 virus, attendance can be done by performing face detection. The face detection system uses facial landmarks as markers of facial areas called facial landmark points. When the system successfully detects a face, the user can then confirm the system so that the system will record attendance time data. The result of testing on this system is that the system can detect faces when the face is not wearing a mask.

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Journal Info

Abbrev

intek

Publisher

Subject

Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Engineering Other

Description

Focus and Scopes INTEK Jurnal Informatika dan Teknologi Informasi (INTEK) is a peer-reviewed Journal of Information and Computer Sciences published by Universitas Muhammadiyah Purworejo. This journal publishes two times a year (May and November). INTEK is a media for researchers, academics, and ...