Jurnal Pekommas
Vol 8 No 2 (2023): December 2023

Sistem Presensi Mahasiswa Menggunakan Fitur Deteksi Wajah Berbasis Cognitive Internet of Things

April Liana, Dhewi (Unknown)
Kristianto, Bayu (Unknown)
Maharani, Anisya (Unknown)
Ahmad (Unknown)
Ilham, Ahmad (Unknown)
Amylia, Aura (Unknown)

Article Info

Publish Date
12 Dec 2023

Abstract

Attendance fraud is often found in the presence of fake attendance from students. To overcome this problem, we apply the Haar-Like Feature Cascade method as the basis for building a face attendance system based on the Cognitive Internet of Things (CIoT). The proposed system works by representing local intensity patterns on the face image so that it will recognize students even from various frontal positions. The results of this research show a precise student face recognition that is able to recognize faces well. The conclusion of this research is that the Haar-like Feature Cascade method is able to detect faces precisely and can be used as a basis for developing student attendance technology based on the Cognitive Internet of Things.

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Journal Info
Jurnal Pekommas
Website

Abbrev

pekommas

Publisher

Sekolah Tinggi Multi Media Yogyakarta

Subject

Computer Science & IT Decision Sciences, Operations Research & Management Languange, Linguistic, Communication & Media

Description

Pekommas is a journal published by the BBPSDMP Kominfo Makassar with the aim of disseminating information on scientific developments in communication, informatics and mass media. The manuscript published in this journal is derived from research and scientific study conducted by researchers, ...