IMPLEMENTASI MODEL DETEKSI PERILAKU MENYONTEK MENGGUNAKAN ALGORITMA YOLOV5

ZAKARIA, LINGGAR KIKI (2023) IMPLEMENTASI MODEL DETEKSI PERILAKU MENYONTEK MENGGUNAKAN ALGORITMA YOLOV5. S2 thesis, Universitas Mercu Buana Jakarta-Menteng.

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Abstract

Pendidikan merupakan salah satu kebutuhan manusia yang sangat penting, karena dikatakan bahwa pendidikan bukan hanya sebagai alat, tetapi pendidikan juga memiliki fungsi untuk memperbaharui kehidupan “renew of life”. Hidup selalu berubah, selalu mengarah pada inovasi. Melalui pendidikan, manusia menguasai dirinya sehingga dapat mengembangkan potensi batinnya melalui pengendalian diri dan kecerdasan. Kepribadian, keluhuran dan kekuatan spiritual agama. Sehingga dengan adanya proses pendidikan, manusia akan sadar diri dan hidup bermasyarakat dengan baik. Salah satu jenis kecurangan yang paling sering terjadi adalah perilaku menyontek yang membuat siswa tidak jujur dalam mengerjakan tugas atau ujian. Dari permasalahan yang ada, maka penelitian ini membahas Implementasi Model Deteksi Perilaku Menyontek Menggunakan Algoritma Yolov5, objek yang akan dideteksi adalah beberapa gerakan kepala seperti gerakan kepala ke kanan, ke kiri, dan ke bawah lalu gerakan mata seperti lirikan mata ke kanan, ke kiri, dan ke bawah. Berdasarkan hasil pengujian diperoleh bahwa model yolov5 dapat mendeteksi perilaku menyontek diatas 90%. Kata kunci: perilaku menyontek, computer vision, deep learning, machine learning, You Only Look Once versi 5(yolov5). Education is one of the very important human needs, because it is said that education is not only a tool, but education also has a function to renew life. Life is always changing, always leading to innovation. Through education, man masters himself so that he can develop his inner potential through self-control and intelligence. The personality, nobility and spiritual power of religion. So that with the educational process, humans will be self-aware and live in society well. One of the most frequent types of cheating is cheating behavior that makes students dishonest in doing assignments or exams. From the existing problems, this study discusses the implementation of the cheating behavior detection model for exam using the You Only Look Once algorithm version 5 (yolov5), the objects to be detected are several head movements such as head movements to the right, left, and down and then eye movements such as right, left, and down. Based on the test results, it was obtained that the yolov5 model can detect cheating behavior above 90%. Keywords: cheating behavior, computer vision, deep learning, machine learning, You Only Look Once version 5(yolov5).

Item Type: Thesis (S2)
NIM/NIDN Creators: 55420120002
Uncontrolled Keywords: Kata kunci: perilaku menyontek, computer vision, deep learning, machine learning, You Only Look Once versi 5(yolov5). Keywords: cheating behavior, computer vision, deep learning, machine learning, You Only Look Once version 5(yolov5).
Subjects: 600 Technology/Teknologi > 620 Engineering and Applied Operations/Ilmu Teknik dan operasi Terapan > 621 Applied Physics/Fisika terapan
Divisions: Fakultas Teknik > Teknik Elektro
Depositing User: SITI NOVI NUR CAHYANI
Date Deposited: 30 Mar 2023 04:46
Last Modified: 30 Mar 2023 04:46
URI: http://repository.mercubuana.ac.id/id/eprint/75706

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