No abstract

No abstract

Abstract— The rise of plagiarism is one of the negative impacts of the development of information and communication technology. Plagiarism can occur anywhere. One of the examples is a university with the object of plagiarism as a student's final project. So we need a system to detect plagiarism so that it can suppress plagiarism in the college environment. In detecting the similarity of a writing will be faster if the writing has been grouped before compared to each other. Single-link clustering was chosen because it has a simple algorithm and can be implemented without the initial cluster. In plagiarism plagiarism usually changes the sentence structure so that it looks different Jaro-Winkler distance is chosen because it can detect similarities in paragraphs that have been changed in sentence structure because Jaro-Winkler distance has a flexible indexing with theoretical distance so that a word or character is considered the same. The stages in this study include data collection, preprocessing, grouping writing with Single-link clustering, comparing writing with jaro-winkler distance, and testing with precision and recall. After testing, the average value of precision was 84.37% and recall was 84.37% with a level of plagiarism of 99.1%. Keywords—: jaro-winkler distance; plagiarisme; single-link clustering.

@font-face{ font-family:"Times New Roman"; } @font-face{ font-family:"宋体"; } @font-face{ font-family:"SimSun"; } @font-face{ font-family:"Arial"; } p.MsoNormal{ mso-style-name:Normal; mso-style-parent:""; margin:0pt; margin-bottom:.0001pt; text-align:center; font-family:'Times New Roman'; mso-fareast-font-family:SimSun; } p.MsoFooter{ mso-style-name:Footer; margin:0pt; margin-bottom:.0001pt; text-align:center; font-family:'Times New Roman'; mso-fareast-font-family:SimSun; } p.MsoHeader{ mso-style-name:Header; margin:0pt; margin-bottom:.0001pt; text-align:center; font-family:'Times New Roman'; mso-fareast-font-family:SimSun; } span.msoIns{ mso-style-type:export-only; mso-style-name:""; text-decoration:underline; text-underline:single; color:blue; } span.msoDel{ mso-style-type:export-only; mso-style-name:""; text-decoration:line-through; color:red; } } div.Section0{page:Section0;}SMA Muhammadiyah 5 Jaten Karanganyar menghadapi tantangan yaitu pemanfaatan teknologi informasi (TI). Pembelajaran secara tatap muka dalam kondisi pandemi belum memungkinkan sehingga pemanfaatan TI menjadi ujung tombak penyebaran informasi dan sarana kegiatan belajar mengajar. Masalah yang dihadapi SMA Muhammadiyah 5 Jaten Karanganyar adalah belum tersedianya website sekolah yang memuat informasi yang diperlukan bagi peserta didik dan belum maksimalnya pemanfaatan TI untuk membantu kegiatan belajar mengajar. Berdasarkan permasalahan pada mitra, diusulkan pembuatan sebuah website sekolah dan pelatihan pembuatan soal ujian online untuk mendukung pembelajaran jarak jauh. Website sekolah akan menggunakan domain sch.id yang merupakan domain resmi instansi sekolah di Indonesia. Adapun online tool yang dilatihkan untuk membut soal ujian online adalah Microsoft Forms dan Quizziz. Pelatihan pembuatan soal ujian online memberikan bekal bagi para guru untuk mengatasi tantangan di masa pandemi yang mengharuskan kegiatan belajar mengajar beralih menjadi pembelajaran jarak jauh. Kegiatan pengabdian yang telah dilakukan ini memberi manfaat bagi SMA Muhammadiyah 5 Jaten Karanganyar sebagai mitra pengabdian untuk meningkatkan branding dan memberi nilai tambah penilaian kualitas sekolah melalui adanya web sekolah. Diharapkan kompetensi para guru semakin meningkat dan merata dalam memanfaatkan TI untuk meningkatkan kualitas kegiatan belajar mengajar dan mengatasi tantangan yang muncul akibat kondisi pandemi Covid-19.

Resource Scheduling is one of the most challenging parts of grid computing. A number of algorithms have been designed and developed to create effective resource scheduling. In this research, the algorithms that have been used are the improvised prioritized deadline scheduling algorithm (IPDSA), and the parallel virtual machine version 3 (PVM3) has been used for efficient task execution, with a deadline limit for each task. PVM3 is a software library that optimizes resources flexibly and heterogeneously on a computer. These resources have been connected to various architectures in parallel, so that they can complete tasks well, even though they are very large and complex. This research has implemented the IPDSA resource scheduling algorithm to optimize scheduling and Grid resources in a computer laboratory as a grid environment, where the computers (hosts) are the Grid resource. This research has also developed an IPDSA resource scheduling algorithm by giving priority to each task and implemented using PVM3. The IPDSA resource scheduling algorithm has been successfully implemented using PVM3, with average Tardiness showing a stable value and getting a Non-Delayed Task value above 97.3%, because the resources and tasks that are carried out can be distributed evenly according to the number of hosts used.