Siahaan, Philip Antoni and Aliyuddien, Furqan (2020) Laporan Kerja Praktik Pembuatan Aplikasi Pembantu Pengawasan Ujian Online ITS Proctor. Project Report. [s.n]. (Unpublished)
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Abstract
Didalam masa pandemi COVID-19, banyak kegiatan-kegiatan akademis yang berubah metode menjadi Online. Dari kegiatan belajar mengajar, seminar online, lomba online, hingga ujian online. Bila meneliti lebih pada kegiatan ujian online, terdapat masalah baru yang timbul yakni apakah ujian tersebut berjalan secara jujur dan nilai dari hasil ujian tersebut dapat dipercaya?
Untuk Menjawab hal tersebut dibutuhkan sebuah aplikasi pengaman pada system ujian sebagai alat bantu dalam mencegah terjadinya kecurangan. Sehingga pengawas ujian dapat terbantu untuk melakukan pengawasan ujian terhadap banyak siswa. Pengawasan dilakukan melalui layar perangkat dengan aplikasi meeting zoom. Gambaran umum aplikasi ini adalah dengan melakukan deteksi adanya kecurangan melalui hasil capture pada layar dimana, aplikasi telah mengetahui data wajah peserta sebelumnya. Data wajah diolah dengan face recognition untuk mendapatkan apakah terdapat wajah yang sesuai dan deteksi kecurangan. Aplikasi menggunkana Bahasa python dan terhubung dengan database dari pelaksana ujian online. Untuk terhubung dengan data maka dibutuhkan web api untuk dapat bertukar data.
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During the COVID-19 pandemic, many academic activities changed their method to online. From teaching and learning activities, online seminars, online competitions, to online exams. When researching more deeply into online exam activities, there are new problems that arise whether the exam is running, honestly and the value of the test results cannot be trusted?
To answer this, we need a safety application on the exam system as a tool to prevent fraud. So that the exam supervisor can help to supervise many students. Surveillance is done via the device screen with the zoom meeting application. The general description of this application is to detect the presence of fraud through the screenshot on the screen where the application has seen data from previous participants. Face data is processed with facial recognition to obtain the presence of a suitable face and fraud detection. The application uses the Python language and connects with a database of online exam administrators. To connect with the data, a web API is needed to be able to exchange data between them.
| Item Type: | Monograph (Project Report) |
|---|---|
| Uncontrolled Keywords: | Python, covid-19, Web Api, Face recognition, |
| Subjects: | Q Science > QA Mathematics > QA76 Computer software T Technology > TA Engineering (General). Civil engineering (General) > TA1650 Face recognition. Optical pattern recognition. T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5105.888 Web sites--Design. Web site development. |
| Divisions: | Faculty of Intelligent Electrical and Informatics Technology (ELECTICS) > Informatics Engineering > 55201-(S1) Undergraduate Thesis |
| Depositing User: | Philip Antoni Siahaan |
| Date Deposited: | 14 Jan 2021 01:45 |
| Last Modified: | 17 Jan 2022 08:45 |
| URI: | http://repository.its.ac.id/id/eprint/82464 |
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