Published: 2024-04-30

Development of a Web-Based Trading Term Application Using Flask Framework at PT. XYZ

DOI: 10.35870/ijsecs.v4i1.2339

Issue Cover

Downloads

Article Metrics
Share:

Abstract

The use of information technology in data management and collaboration with suppliers has increased efficiency for retail companies such as PT. XYZ. However, some companies still still need help managing data and cooperation agreement documents, which hinders the preparation of reports and has the potential for conflict. This research aims to build a web-based Trading Term application using the Flask framework at PT. XYZ. This application was developed in Python because of its simplicity and diversity of libraries. The waterfall method used in this research includes several stages, including data analysis, software design, system implementation, testing, and application maintenance. The application of the MVC architectural pattern supports fast website development. This research produces a Trading Term Application, to help record and store trade agreement data, thereby increasing efficiency and order in business cooperation. The results of black box testing show that the Trading Term Application developed has passed a series of tests well and has achieved 100% success in the functional tests carried out.

Keywords

Application Trading Terms ; Skeleton Pumpkin ; Web Application ; Python

Peer Review Process

This article has undergone a double-blind peer review process to ensure quality and impartiality.

Indexing Information

Discover where this journal is indexed at our indexing page to understand its reach and credibility.

Open Science Badges

This journal supports transparency in research and encourages authors to meet criteria for Open Science Badges by sharing data, materials, or preregistered studies.

Similar Articles

You may also start an advanced similarity search for this article.