Open AccessImproving Database Quality by Applying Consistency Aspects to Naming Fields and Tables
Author(s) -
Raissa Maringka,
Aulia Khoirunnita,
Rodney Maringka,
Ema Utami,
Kusnawi Kusnawi
Publication year - 2021
Publication title -
tepian
Language(s) - English
Resource type - Journals
eISSN - 2721-5369
pISSN - 2721-5350
DOI - 10.51967/tepian.v2i1.304
Subject(s) - consistency (knowledge bases) , computer science , readability , database , information retrieval , quality (philosophy) , ambiguity , data quality , data consistency , standardization , completeness (order theory) , data mining , artificial intelligence , mathematics , metric (unit) , programming language , engineering , mathematical analysis , philosophy , operations management , epistemology , operating system
The database is one of the benchmarks that affect the quality of information systems. An effective information system certainly has a quality database. Aspects that can be measured to determine the quality of the database are aspects of truth, consistency, range, level of detail, completeness, minimalism, ability to integrate and readability. One of the mistakes that are often encountered in databases is related to the consistency aspect. Consistency aspects that are not paid much attention to its application can lead to data conflicts due to ambiguity and data duplication. This study aims to improve the quality of the database by applying consistency to the naming of fields and tables. A naming method to produce consistency in standardization was applied in this study.