Graph-QL Responsibility Analysis at Integrated Competency Certification Test System Base on Web Service

  • I Gede Susrama Masdiyasa Institut Teknologi Sepuluh November Surabaya
  • Gideon Setya Budiwitjaksono Department of Accounting, University of Pembangunan Nasional “Veteran Jawa Timur
  • Hafidz Amarul M Department of Informatic, University of Pembangunan Nasional “Veteran Jawa Timur
  • Ilham Ade Widya Sampurno Department of Informatic, University of Pembangunan Nasional “Veteran Jawa Timur
  • Ni Made Ika Marini Mandenni Department of Information Technology, Udayana University
DOI: https://doi.org/10.24843/LKJITI.2020.v11.i02.p05

Abstract

Graph-QL (Query Language) is a new concept in the Application Programming Interface (API). Graph-QL was developed by Facebook which is implemented on the server-side. Although it is a query language, Graph-QL is not directly related to the database, in other words, Graph-QL is not limited to certain databases, either SQL or NoSQL. The position of Graph-QL is on the client and server-side that access an API. One of the objectives of developing this query language is to facilitate data communication between the backend and frontend / mobile applications. For this reason, this paper will examine the responsibility of Graph-QL in terms of response time and response size in the development of an integrated competency certification test system based on web service and compared with efficiency and flexibility using the REST API. From the test results, it was found that Graph-QL provided some advantages compare to REST API. It give more flexibility for the clients to access the data and solve the most typical problem that was over or under fetching cause by fixed data given by REST API endpoints.


 

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Vol. 11, No. 2 August 2020
Published
2020-10-09
How to Cite
MASDIYASA, I Gede Susrama et al. Graph-QL Responsibility Analysis at Integrated Competency Certification Test System Base on Web Service. Lontar Komputer : Jurnal Ilmiah Teknologi Informasi, [S.l.], v. 11, n. 2, p. 114-123, oct. 2020. ISSN 2541-5832. Available at: <https://ojs.unud.ac.id/index.php/lontar/article/view/62931>. Date accessed: 22 nov. 2024. doi: https://doi.org/10.24843/LKJITI.2020.v11.i02.p05.
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Vol 11 No 2 (2020): Vol. 11, No. 2 August 2020
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