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All Journal Creative Information Technology Journal Sebatik Informasi Interaktif REKA ELKOMIKA: Jurnal Pengabdian kepada Masyarakat Journal of Information Technology (JIfoTech) MATRIX : JURNAL MANAJEMEN TEKNOLOGI DAN INFORMATIKA Jurnal Ilmiah Edutic : Pendidikan dan Informatika Epmas: Edukasi dan Pengabdian Masyarakat Infact: Jurnal Sains dan Komputer
Nurcahyo, Azriel Christian
Institut Shanti Bhuana
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Industrial & Manufacturing Engineering Public Health Other

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Journal : MATRIX : JURNAL MANAJEMEN TEKNOLOGI DAN INFORMATIKA

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Optimization of data integration using schema matching of linguistic-based and constraint-based in the university database Rifqi Hammad; Azriel Christian Nurcahyo; Ahmad Zuli Amrullah; Pahrul Irfan; Kurniadin Abd. Latif
Matrix : Jurnal Manajemen Teknologi dan Informatika Vol. 11 No. 3 (2021): Jurnal Manajemen Teknologi dan Informatika
Publisher : Unit Publikasi Ilmiah, P3M, Politeknik Negeri Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (388.329 KB) | DOI: 10.31940/matrix.v11i3.119-129

Abstract

University requires the integration of data from one system with other systems as needed. This is because there are still many processes to input the same data but with different information systems. The application of data integration generally has several obstacles, one of which is due to the diversity of databases used by each information system. Schema matching is one method that can be used to overcome data integration problems caused by database diversity. The schema matching method used in this research is linguistic and constraint. The results of the matching scheme are used as material for optimizing data integration at the database level. The optimization process shows a change in the number of tables and attributes in the database that is a decrease in the number of tables by 13 tables and 492 attributes. The changes were caused by some tables and attributes were omitted and normalized. This research shows that after optimization, data integration becomes better because the data was connected and used by other systems has increased by 46.67% from the previous amount. This causes the same data entry on different systems can be reduced and also data inconsistencies caused by duplication of data on different systems can be minimized.
Co-Authors Ag. Rudatyo Himamunanto Agustinus Rudatyo Himamunanto Ahmad Zuli Amrullah Andri Mikola Candra Gudiato Fandli Supandi Fitria Elvi Hammad, Rifqi kusnanto kusnanto Latif, Kurniadin Abd Listra Firgia Listra Firgia Maya Sari Musthofa Galih Pradana Pahrul Irfan Pujo Hari Saputro Rifqi Hammad Rifqi Hammad Yulianto Mustaqim