Lewati ke konten utama
Beranda / Hasil pencarian

Hasil pencarian

Jelajahi seluruh publikasi yang tersedia.

2 hasil
Subjek: Linguistic
DaftarKartu
ArticleOpen AccessMetadata saja

PENGEMBANGAN BASIS DATA SISTEM INFORMASI AKADEMIK PERGURUAN TINGGI BERBASIS SCHEMA MATCHING LINGUISTIC, CONSTRAINT DAN INSTANCE

2022•Artikel Penelitian dan Pengabdian

Universities currently need information systems to support their activities. Bumigora University is one of the universities that implements information systems such as Siska and E-Learning. Both the system and the database of the two systems are still independent. So that the same data input is still happening on different systems. Based on these problems, it is necessary to develop a database that can connect information from Siska and E-Learning. The method used in this research is Schema Matching. The Schema Matching method used is the Linguistic, Constraint, and Instance Schema Matching method. The results showed that there were several table pairs with true positive and false positive values so that the precision, recall, and F-measure values obtained were 0.8, 1, and 0.89. The F-measure value obtained is 0.89 which is greater than 0.5 so it can be said that the scheme matching process is running quite well.

1 dilihat · 0 unduhanSitasiDetail
ArticleOpen AccessMetadata saja

ANALISIS INTEGRASI DATA PADA RELASIONAL BASIS DATA DENGAN MENGGUNAKAN METODE SCHEMA MATCHING

2019•Artikel Penelitian dan Pengabdian

University is one of the agencies that use information technology to support various business processes. University requires data integration between the systems so that the data available in one system can be used in other systems to support data management.In forwarding data integration there are several obstacles that occur one of the causes is schema heterogeneity used by each information system. linguistic method is one of the schema matching methods used to overcome the problem of schema heterogeneityBased on the analysis of database schemes with the linguistic method, the values of precision, recall and f measure are 0.75. This value indicates that the application of the matching schema has been quite good. But there are still some of the same data between the schemes so that the integration of the data owned is not maximal. So that optimization is still needed to maximize the data integration

1 dilihat · 0 unduhanSitasiDetail