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All Journal Journal of Applied Computer Science and Technology (JACOST) Jurnal Informatika Teknologi dan Sains (Jinteks)
Muh Fahmi Rustan
Universitas Sulawesi Barat
Computer Science & IT Control & Systems Engineering

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Uji Plagiarism pada Tugas Mahasiswa Menggunakan Algoritma Winnowing Moh Sadly Ramli; Sugiarto Cokrowibowo; Muh Fahmi Rustan
Journal of Applied Computer Science and Technology Vol 2 No 2 (2021): Desember 2021
Publisher : Indonesian Society of Applied Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52158/jacost.v2i2.177

Abstract

Plagiarism is the act of taking or plagiarizing the work, ideas or ideas of others either intentionally or unintentionally and claiming to be one's own work without mentioning the source or author. Often students plagiarize assignments given by the lecturer so that sometimes students just copy other people's assignments to complete the assignment. So that this can lead to dependence on other people in doing assignments and not being able to independently carry out assignments given by the lecturer. Currently, many plagiarism detection systems have been created to help reduce the level of plagiarism, one of which is the winnowing algorithm. In this study the authors used the winnowing algorithm to detect plagiarism in student assignments, namely programming source code, from the results of research conducted on 10 student assignments using the winnowing algorithm produced various similarity values as a percentage of similarity between two students tasks compared. With an average value of the overall similarity of the 10 tasks, namely 75.12%.
VISUALISASI DATA AKREDITASI PROGRAM STUDI BERBASIS WEB MENGGUNAKAN EXTREME PROGRAMMING Muh. Fahmi Rustan; Hasriani; Nuralamsah Zulkarnaim
Jurnal Informatika Teknologi dan Sains Vol 4 No 4 (2022): EDISI 14
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (463.532 KB) | DOI: 10.51401/jinteks.v4i4.2143

Abstract

The accreditation status of a study program is determined by a lot of data that can support the assessment criteria. The availability of data certainly supports the amount of information that can be obtained so that it will be easier if the data is collected in one accreditation system. Yet it is not easy to understand the information from unstructured data. Thus, a brief and interesting presentation of information on the accreditation system is needed. This can be realized through data visualization where information can be obtained by exploring, understanding, and communicating data. Data visualization is also a tool for conducting data analysis. Moreover, This research aims to develop a study program accreditation system that focuses on educational criteria and is equipped with data visualization that can assist the data analysis process so that users or policymakers are able to make the right decisions. By utilizing the Extreme Programming (XP) method, this research produces a study program accreditation system that is equipped with data visualization which enables to presentation of effective and attractive data displays. The results of this study will make the users be easier to make decisions regarding efforts to achieve study program accreditation.
Co-Authors Hasriani Moh Sadly Ramli Nuralamsah Zulkarnaim Sugiarto Cokrowibowo