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Software Development Dengan Extreme Programming (XP) Pada Aplikasi Deteksi Kemiripan Judul Skripsi Berbasis Android


 
Dublin Core PKP Metadata Items Metadata for this Document
 
1. Title Title of document Software Development Dengan Extreme Programming (XP) Pada Aplikasi Deteksi Kemiripan Judul Skripsi Berbasis Android
 
2. Creator Author's name, affiliation, country Imam Ahmad; Universitas Teknokrat Indonesia; Indonesia
 
2. Creator Author's name, affiliation, country Rohmat Indra Borman; Universitas Teknokrat Indonesia; Indonesia
 
2. Creator Author's name, affiliation, country Jafar Fakhrurozi; Universitas Teknokrat Indonesia; Indonesia
 
2. Creator Author's name, affiliation, country Gavan Gorbi Caksana; Universitas Teknokrat Indonesia; Indonesia
 
3. Subject Discipline(s)
 
3. Subject Keyword(s)
 
4. Description 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

 
5. Publisher Organizing agency, location P3M Politeknik Negeri Bengkalis
 
6. Contributor Sponsor(s)
 
7. Date (YYYY-MM-DD) 2020-11-27
 
8. Type Status & genre Peer-reviewed Article
 
8. Type Type
 
9. Format File format PDF, PDF
 
10. Identifier Uniform Resource Identifier https://ejournal.polbeng.ac.id/index.php/ISI/article/view/1654
 
10. Identifier Digital Object Identifier (DOI) https://doi.org/10.35314/isi.v5i2.1654
 
11. Source Title; vol., no. (year) INOVTEK Polbeng - Seri Informatika; Vol 5, No 2 (2020)
 
12. Language English=en en
 
13. Relation Supp. Files Cek Plagiasi Turnitin (B)
 
14. Coverage Geo-spatial location, chronological period, research sample (gender, age, etc.)
 
15. Rights Copyright and permissions Copyright (c) 2020 INOVTEK Polbeng - Seri Informatika
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