Pengembangan Sistem Presensi Menggunakan Artificial Intelligence Dengan Algoritma Haar-Like Feature dan Linear Discriminant Analysis

Teresia Ratna Calista, - (2023) Pengembangan Sistem Presensi Menggunakan Artificial Intelligence Dengan Algoritma Haar-Like Feature dan Linear Discriminant Analysis. S1 thesis, Universitas Pendidikan Indonesia.

Abstract

Smart classroom merupakan salah satu bentuk inovasi dari revolusi 5.0, yang mengacu pada fasilitas yang tersedia di suatu Perguruan Tinggi. Salah satu penerapan dari smart classroom adalah sistem presensi digital, pada beberapa universitas masih belum memiliki fasilitas yang dapat menunjang mahasiswa untuk melakukan presensi secara otomatis. Maka dari itu, penelitian kali ini dimaksudkan untuk merancang suatu sistem presensi digital untuk menunjang presensi para mahasiswanya. Penelitian dilakukan dengan mengimplementasikan teknologi Artificial Intelligence dengan algoritma Haar-Like Feature dan Linear Discriminant Analysis (LDA) dan menggunakan metode penelitian AI Project Cycle untuk proses pengembangan sistem. Sampel dan dataset yang digunakan dalam penelitian adalah berupa citra gambar yang tersedia di internet dan citra wajah mahasiswa/i. Pengujian sistem dilakukan melalui metode function test menggunakan tools qase.io. Hasil dari penelitian ini adalah berupa sebuah sistem presensi digital yang dapat melakukan presensi secara akurat.
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The smart classroom is a form of innovation from the 5.0 revolution, which refers to the
facilities available in a university. One of the applications of a smart classroom is a digital
presence system, in some universities there are still no facilities that can support students
to make attendance automatically. Therefore, this research is intended to design a digital
attendance system to support student attendance. The research was carried out by
implementing Artificial Intelligence technology with the Haar-Like Feature algorithm and
Linear Discriminant Analysis (LDA) and using the AI Project Cycle research method for
the system development process. The samples and datasets used in this study are in the form
of images available on the internet and facial images of students. System testing is carried
out through the function test method using the qase.io tools. The results of this study are in
the form of a digital presence system that can make attendance accurately.
Keywords: Attendance system, AI Project Cycle, Haar-Like Feature, Linear Discriminant
Analysis

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Item Type:	Thesis (S1)
Additional Information:	Dosen Pembimbing 1: Rian Andrian Link Google Scholar: https://scholar.google.com/citations?user=UKmGK14AAAAJ&hl=id&oi=ao Dosen Pembimbing 2: Suprih Widodo Link Google Scholar: https://scholar.google.com/citations?hl=id&user=P-awTsUAAAAJ ID SINTA Rian Andrian : 6681695 Suprih Widodo : 5978120
Uncontrolled Keywords:	Sistem Presensi, AI Project Cycle, Haar-Like Feature, Linear Discriminant Analysis
Subjects:	L Education > L Education (General) T Technology > T Technology (General)
Divisions:	UPI Kampus Purwakarta > S1 Pendidikan Sistem Teknologi dan Informasi
Depositing User:	Teresia Ratna Calista
Date Deposited:	05 Sep 2023 03:39
Last Modified:	05 Sep 2023 03:39
URI:	http://repository.upi.edu/id/eprint/98338

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