Jurnal Nasional Teknik Elektro dan Teknologi Informasi
Vol 8 No 2: Mei 2019

Pengembangan Basis Data Sistem Informasi Manajemen Rumah Sakit Berbasis Linguistic-based Schema Matching

Adhistya Erna Permanasari (Universitas Gadjah Mada)
Hayu Pradnya Satyaprabha (Universitas Gadjah Mada)
Addin Suwastono (Universitas Gadjah Mada)
Guntari Titik Mulyani (Universitas Gadjah Mada)



Article Info

Publish Date
31 May 2019

Abstract

Prof. Soeparwi veterinary hospital is one of the medical institutions focused on providing medical services for animals. In its daily operations, the flow of informations among various departments has yet to be supported by management information systems (MIS) which enables efficiency of business process and a better management of the data. Previous researches have been conducted to develop MIS, which resulted in three independent MIS for managing registration, medical records, and patient bills. Each MIS is using their own database to store the data, thus causing duplicates of information and inconsistencies, and also increasing complexity in accessing the data. The goal of this research is to re-design the said database into a single database that will be used by various MIS. Three independent databases are merged by applying a technique that uses linguistic information as the basis for the matching–called linguistic-based schema matching. This method’s accuracy is evaluated by calculating precision, recall, and F-measure–which we obtained scores of above 50% for all three indicators. Requirement analysis is performed to further develop the database for supporting further needs of the hospital. The new database system is tested using black-box technique under few test cases to see if its functionality corresponds with the specifications defined. Result of this test proves that the new database could handle valid, invalid, and redundant inputs as expected by a score of 100% success rate.

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Journal Info

Abbrev

JNTETI

Publisher

Subject

Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering

Description

Topics cover the fields of (but not limited to): 1. Information Technology: Software Engineering, Knowledge and Data Mining, Multimedia Technologies, Mobile Computing, Parallel/Distributed Computing, Artificial Intelligence, Computer Graphics, Virtual Reality 2. Power Systems: Power Generation, ...