PENERAPAN REPLIKASI BASIS DATA TERDISTRIBUSI MENGGUNAKAN METODE SYNCHRONOUS  PADA HOTEL FAVEHOTEL MAKASSAR

Abdurrahman Abdurrahman; Muhammad Alham  Nushair; Kurnia  Yahya

Authors

Abdurrahman Abdurrahman STMIK Profesional Makassar
Muhammad Alham Nushair STMIK Profesional Makassar
Kurnia Yahya STMIK Profesional Makassar

Keywords:

databases; replication; asynchronous; hotel; distribution; server

Abstract

Processing data, information and company resources using information technology can help to minimize company expenses for operational costs. The problem that occurs now is the high network traffic that accesses the central computer, causing slow transaction processing. Today's business environment requires distributed databases and client/server applications in order to increase the reliability, scalability and accessibility of information Stably. Replication is a technique of duplicating data in several different physical locations for the same logical data with the aim that if there are problems related to failure in one physical location, it will not affect the performance of the entire system. Based on the results of the study, information was obtained that the data replication process using the synchronous method was ideally applied to favehotel hotels, where the automatic record transfer process could work optimally, thus ensuring the quality of technology-based services at favehotel Makassar. using the synchronous method, the problem of high network traffic that causes slow transaction processing at favehotel hotels can be resolved so that the data access process is faster.

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References

H. Maulana, “ANALISIS DAN PERANCANGAN SISTEM REPLIKASI DATABASE MYSQL DENGAN MENGGUNAKAN VMWARE PADA SISTEM OPERASI OPEN SOURCE,” InfoTekJar (Jurnal Nas. Inform. dan Teknol. Jaringan), vol. 1, no. 1, pp. 32–37, Sep. 2016, doi: 10.30743/infotekjar.v1i1.37.

D. Dhining, Y. Rokhayati, and D. E. Kurniawan, “Penerapan Replikasi Data pada Aplikasi Ticketing Menggunakan Slony PostgreSQL,” J. Appl. Informatics Comput., vol. 1, no. 2, pp. 9–18, 2017.

R. S. . Aparajitha., M. . Kavitha, T. R. . Monisha, T. S. . Pavithra, and V. P. Raja, “Database Management Systems,” Int. J. Comput. Appl., vol. 1, no. 8, pp. 73–76, Feb. 2010, doi: 10.5120/179-310.

G. D. Samaraweera and J. M. Chang, “Security and Privacy Implications on Database Systems in Big Data Era: A Survey,” IEEE Trans. Knowl. Data Eng., vol. 33, no. 1, pp. 239–258, Jan. 2021, doi: 10.1109/TKDE.2019.2929794.

O. Prince, “OVERVIEW OF DISTRIBUTED DATABASE SYSTEM,” Int. J. Comput. Tech., vol. 8, 2021.

Á. Vathy-Fogarassy and T. Hugyák, “Uniform data access platform for SQL and NoSQL database systems,” Inf. Syst., vol. 69, pp. 93–105, Sep. 2017, doi: 10.1016/j.is.2017.04.002.

B. Aditya and T. Juhana, “A high availability (HA) MariaDB Galera Cluster across data center with optimized WRR scheduling algorithm of LVS - TUN,” in 2015 9th International Conference on Telecommunication Systems Services and Applications (TSSA), Nov. 2015, pp. 1–5, doi: 10.1109/TSSA.2015.7440452.

E. Ozkan-Canbolat and A. Beraha, “Configuration and innovation related network topology,” J. Innov. Knowl., vol. 1, no. 2, pp. 91–98, May 2016, doi: 10.1016/j.jik.2016.01.013.

Sitti Arni, "IMPLEMENTASI REPLIKASI DATA SISTEM INFORMASI AKADEMIK STMIK PROFESIONAL MAKASSAR", Progres, vol. 5, no. 1, pp. 1-9, Apr. 2013.