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Eko Prianto
Ahmad Dahlan University
Computer Science & IT Electrical & Electronics Engineering

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Performance Analysis of Hashing Methods on the Employment of App Anton Yudhana; Abdul Fadlil; Eko Prianto
International Journal of Electrical and Computer Engineering (IJECE) Vol 8, No 5: October 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (604.931 KB) | DOI: 10.11591/ijece.v8i5.pp3512-3522

Abstract

The administrative process carried out continuously produces large data. So the search process takes a long time. The search process by hashing methods can save time faster. Hashing is methods that directly access data in a table by making references to the key that hashing becomes the address in the table. The performance analysis of the hashing method is done by the number of 18 digit character values. The process of analysis is done on applications that have been implemented in the application. The algorithm of hashing method analyzed is progressive overflow (PO) and linear quotient (LQ). The main purpose of performance analysis of hashing method is to know how gig the performance of each method. The results analyzed showed the average value of collision with 15 keys in the analysis of 53.3% yield the same value, while 46.7% showed the linear quotient has better performance.
Co-Authors Abdul Fadlil Anton Yudhana