eprintid: 99820 rev_number: 32 eprint_status: archive userid: 197032 dir: disk0/00/09/98/20 datestamp: 2023-09-01 02:37:29 lastmod: 2023-09-01 02:37:29 status_changed: 2023-09-01 02:37:29 type: thesis metadata_visibility: show creators_name: Alif Haykal Fitriawan, - creators_nim: NIM1908016 creators_id: alifhaykal2233@gmail.com contributors_type: http://www.loc.gov/loc.terms/relators/THS contributors_type: http://www.loc.gov/loc.terms/relators/THS contributors_name: Agus Heri Setyabudhi, - contributors_name: Tuti Suartini, - contributors_nidn: NIDN0026087207 contributors_nidn: NIDN0021116303 contributors_id: agusheri@upi.edu contributors_id: tutisuartini@upi.edu title: IMPLEMENTASI PROGRAM SEE CHEATING WEB UNTUK KEGIATAN MENCONTEK DI KALANGAN PELAJAR ispublished: pub subjects: L1 subjects: LB subjects: LC divisions: JPTE full_text_status: restricted keywords: YOLO, Haar Cascade, Mencontek YOLO, Haar Cascade, Deceitful note: https://scholar.google.com/citations?user=DUbeMhQAAAAJ&hl=id&authuser=2 ID SINTA Dosen Pembimbing Agus Heri Setyabudhi: 0026087207 Tuti Suartini: 0021116303 abstract: Tujuan penelitian ini untuk membuat sistem yang dapat mendeteksi adanya kecurangan atau mencontek saat ujian berlangsung. Metode yang digunakan adalah metode eksperimen terencana, dimulai dari merancangan sistem deteksi mencontek, mengumpulkan Dataset, developing, implementasi dan evaluasi. Aplikasi Google Colab digunakan untuk membuat coding program, Dataset dikumpulkan melalui video-video yang ada di internet, Face capture dilakukan menggunakan kamera, deteksi objek dan fitur kamera menggunakan library opencv untuk menghubungkannya dengan Bahasa pemrograman python. Untuk hasil penelitian algoritma nya sendiri menggunakan algoritma YOLO dan Haar Cascade sebagai perbandingan sistem. Pada akhir penelitian diharapkan sistem secara real time dapat memberi peringatan awal adanya aktivitas mencontek melalui website dengan data gambar yang diolah memerlukan spesifikasi yaitu batch size 64 dan epoch 300 dengan ukuran gambar input 320x320 pixel. Dengan keluaran akurasi dari YOLO sebesar masing-masing kelas “mencontek” dan “tidak mencontek” memiliki tingkat akurasi 74,4 % dan 83,4 %. The purpose of this research is to create a system that can detect deceit or deceitful behaviour during exams. The method used is a planned experimental method, starting from designing a cheating detection system, collecting datasets, developing, implementing and evaluating. The Google Colab application is used to create program coding, Dataset is collected through videos on the internet, Face capture is done using a camera, object detection and camera features use the OpenCV library to connect it to the Python programming language. For the algorithm itself, it will use the YOLO and Haar Cascade algorithms as a comparison to the system. At the end of the research, it is hoped that the system in real time can provide an early warning of deceitful exam activity via the website with image data that is processed requires specifications, namely batch size 64 and epoch 300 with an input image size of 320x320 pixels. With an accuracy output from YOLO of each class "deceitful" and "not deceitful" it has an accuracy rate of 74.4% and 83.4%. date: 2023-08-28 date_type: published institution: Universitas Pendidikan Indonesia department: KODEPRODI20201#Teknik_Elektro_S1 thesis_type: other thesis_name: other official_url: http://repository.upi.edu related_url_url: http://persputakaan.upi.edu related_url_type: org citation: Alif Haykal Fitriawan, - (2023) IMPLEMENTASI PROGRAM SEE CHEATING WEB UNTUK KEGIATAN MENCONTEK DI KALANGAN PELAJAR. S1 thesis, Universitas Pendidikan Indonesia. document_url: http://repository.upi.edu/99820/1/S_TE_1908016_Title.pdf document_url: http://repository.upi.edu/99820/2/S_TE_1908016_Chapter%20I.pdf document_url: http://repository.upi.edu/99820/3/S_TE_1908016_Chapter%20II.pdf document_url: http://repository.upi.edu/99820/4/S_TE_1908016_Chapter%20III.pdf document_url: http://repository.upi.edu/99820/5/S_TE_1908016_Chapter%20IV.pdf document_url: http://repository.upi.edu/99820/6/S_TE_1908016_Chapter%20V.pdf document_url: http://repository.upi.edu/99820/7/S_TE_1908016_Appendix.pdf