Proceedings of the 5th FIRST T1 T2 2021 International Conference (FIRST-T1-T2 2021)

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Single Page Application for Business Intelligence Dashboard

Authors
M. Miftakul Amin1, *, Adi Sutrisman1, Yevi Dwitayanti2
1Department of Computer Engineering, Politeknik Negeri Sriwijaya, Jl. Srijaya Negara Bukit Besar, Palembang, 30139, Indonesia
2Department of Computer Accounting, Politeknik Negeri Sriwijaya, Jl. Srijaya Negara Bukit Besar, Palembang, 30139, Indonesia
*Corresponding author. Email: miftakul_a@polsri.ac.id
Corresponding Author
M. Miftakul Amin
Available Online 14 February 2022.
DOI
10.2991/ahe.k.220205.055How to use a DOI?
Keywords
Single Page Application; RESTful Web Service; Business Intelligence
Abstract

This study develops a single page application (SPA) model which is implemented in the business intelligence dashboard at the Sriwijaya State Polytechnic. The technology used in this research is AJAX on the client side, and RESTful web service on the server side. Several HTTP methods such as GET, PUT, POST, and DELETE can be easily implemented in a RESTful web service. Information generated from RESTful web services can be used as a reference in providing information to be displayed in web pages dynamically without having to reload web pages using AJAX. The information obtained from this RESTful web service then can be visualized in the form of tables and graphs on the Business Intelligence application dashboard. The results of this study indicate that the SPA model can provide a variety of information needed in a web page.

Copyright
© 2022 The Authors. Published by Atlantis Press International B.V.
Open Access
This is an open access article under the CC BY-NC license.

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Volume Title
Proceedings of the 5th FIRST T1 T2 2021 International Conference (FIRST-T1-T2 2021)
Series
Atlantis Highlights in Engineering
Publication Date
14 February 2022
ISBN
10.2991/ahe.k.220205.055
ISSN
2589-4943
DOI
10.2991/ahe.k.220205.055How to use a DOI?
Copyright
© 2022 The Authors. Published by Atlantis Press International B.V.
Open Access
This is an open access article under the CC BY-NC license.

Cite this article

risenwbib
TY  - CONF
AU  - M. Miftakul Amin
AU  - Adi Sutrisman
AU  - Yevi Dwitayanti
PY  - 2022
DA  - 2022/02/14
TI  - Single Page Application for Business Intelligence Dashboard
BT  - Proceedings of the 5th FIRST T1 T2 2021 International Conference (FIRST-T1-T2 2021)
PB  - Atlantis Press
SP  - 310
EP  - 313
SN  - 2589-4943
UR  - https://doi.org/10.2991/ahe.k.220205.055
DO  - 10.2991/ahe.k.220205.055
ID  - Amin2022
ER  -