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All Journal INOVTEK Polbeng - Seri Informatika SINTECH (Science and Information Technology) Journal
Gavan Gorbi Caksana
Universitas Teknokrat Indonesia
Computer Science & IT

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IMPLEMENTASI STRING MATCHING DENGAN ALGORITMA BOYER-MOORE UNTUK MENENTUKAN TINGKAT KEMIRIPAN PADA PENGAJUAN JUDUL SKRIPSI/TA MAHASISWA (STUDI KASUS: UNIVERSITAS XYZ) Imam Ahmad; Rohmat Indra Borman; Gavan Gorbi Caksana; Jafar Fakhrurozi
SINTECH (Science and Information Technology) Journal Vol. 4 No. 1 (2021): SINTECH Journal Edition April 2021
Publisher : LPPM STMIK STIKOM Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31598/sintechjournal.v4i1.699

Abstract

In determining the research topic as well as the title for the Thesis / TA, it is possible that there will be a similarity in the title between one student and another, whether intentionally or unintentionally. For this reason, the Study Program must check the titles submitted by students, so as to avoid indications of similar titles and indications of plagiarism. Efforts that can be made to make it easier to check the Thesis title are by performing string matching on the text on the title that will be submitted by students. One of the string matching algorithms is Boyer-Moore. Boyer-Moore, who made the match starting from the rightmost character then left based on the value of the occurrence heuristic (HO) and match heuristic (MH) in determining the shift. This research produces a system that is able to determine the similarity of the proposed Thesis titles based on the existing title repositories. From the results of testing the processing time by entering 100 and its multiples show that the Boyer-Moore algorithm is able to match quickly. The results also showed that the more data the more time it took, but the average increase in time only increased by 34%.
Software Development Dengan Extreme Programming (XP) Pada Aplikasi Deteksi Kemiripan Judul Skripsi Berbasis Android Imam Ahmad; Rohmat Indra Borman; Jafar Fakhrurozi; Gavan Gorbi Caksana
Jurnal Inovtek Polbeng Seri Informatika Vol 5, No 2 (2020)
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/isi.v5i2.1654

Abstract

To determine the topic or research title for the student's thesis, it is possible that the similarity of the title to the previous title, either accidentally or unintentionally. Therefore, the relevant section must check the titles submitted by students, so as to avoid plagiarism. The development of a thesis title similarity detection application is one of the efforts that can be made in solving this problem. The development of sosftware requires the right method to develop applications according to user needs. Extreme Programming (XP) is a part of the agile development approach based on iterative development, which is based on needs and solutions through collaboration among the development team. So, in this study, the development of a similarity detection application for the title of a thesis with the XP software development approach was carried out. Keywords - agile development, extreme programming, thesis
Co-Authors Imam Ahmad Jafar Fakhrurozi Rohmat Indra Borman