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PELATIHAN PEMANFAATAN APLIKASI RUMAH BELAJAR UNTUK MEMBANTU PEMBELAJARAN PADA MASA PANDEMI BAGI GURU-GURU DI YAYASAN WALADUN SHOLEH Veri Julianto; Arif Supriyanto; Yunita Prastyaningsih; Wan Yuliyanti
Jurnal WIDYA LAKSMI (Jurnal Pengabdian Kepada Masyarakat) Vol. 2 No. 2 (2022): Jurnal WIDYA LAKSMI (Jurnal Pengabdian Kepada Masyarakat)
Publisher : Yayasan Lavandaia Dharma Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Learning that takes place at the Waladun Sholeh school is carried out online by utilizing several learning platforms, but there are some educators/teachers who are still lacking in literacy in the utilization and use of learning platforms, one of which is the Learning House portal. Therefore, it is necessary to train in the use of learning houses for learning during the pandemic for educators/teachers. Training on the use of learning houses for learning during the pandemic was carried out as a solution to the problem of lack of literacy in the use and utilization of learning portals. This training was wrapped in the form of community service and was held on December 17, 2021 at the Bill Gates Computer Laboratory, Department of Informatics, which was attended by 20 school teachers, Waladun Sholeh. The training provided is registration materials in the study house, uploading and downloading materials at the study house. As a result, 97.65% of participants stated that they were very satisfied with the training provided.
Design and Implementation Plagiarism Checker Application with DetectGPT using Scheduler Algorithm Arif Supriyanto; Hendrik Setyo Utomo; Oky Rahmanto
Brilliance: Research of Artificial Intelligence Vol. 3 No. 2 (2023): Brilliance: Research of Artificial Intelligence, Article Research November 2023
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v3i2.3275

Abstract

The increasing use of Generative AI in the field of writing in the academic world creates problems in the field of plagiarism. this problem has prompted an urgent need for plagiarism detection tools. However, not all universities are able to implement a system that is able to detect sentences or paragraphs resulting from generative AI. Recent research seeks to overcome this obstacle using AI itself, specifically through the DetectGPT model. However, the implementation of this technology has limitations, such as requiring large computing resources and quite a long examination time. Using a GPU can speed up the process, but not all users can implement it. Solutions to minimize processing time include using more than one worker, however, scheduling is essential to maximize plagiarism detection efficiency. This research proposes the implementation of the above system with the help of the scheduler. The results obtained in this system prototype are an average waiting time for checking of 457,778 seconds to complete 10 tasks with the help of 3 workers running at the same time.