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Design and Implementation of REST API for Academic Information System
Author(s) -
Andi Ais Prayogi,
Muhammad Niswar,
- Indrabayu,
M. Rifqi Rijal
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/875/1/012047
Subject(s) - rest (music) , computer science , table (database) , throughput , operating system , database , set (abstract data type) , sample (material) , programming language , medicine , cardiology , wireless , chemistry , chromatography
With the increased number of information systems used in an organization, there is also an increased importance of data exchange between these systems. This research deals with prototype development and performance analysis of Rest API for academic information system. Rest API was developed using two different server technologies, NodeJS and PHP. The prototype was developed on top of a database server using one sample table that represents employee in a higher education institution. For each of the Rest API developed, there were 2 types of endpoint created. Experiment was set with one database containing a single table and utilized Apache Jmeter to simulate up to 1000 concurrent requests. The results of the experiment show NodeJS implementation of REST API consistently has better performance compared to PHP based REST API implementation. NodeJS implementation reached 100% throughput for up to 1000 concurrent requests, while PHP reached 48.70% throughput when serving the same number of concurrent requests.

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