DASHBOARD INFORMATION SYSTEM OF PEMINJAMAN UANG (PINANG) APPLICATION

  • Andiani Andiani (1) Universitas Pancasila
  • M. Farhan Zidni L. (2*) Universitas Pancasila

  • (*) Corresponding Author

Keywords: Pinang, Dashboard, Waterfall Model, Monitoring

Abstract

Pinang is a digital application-based BRI Agro product that runs on the Android operating system, wherewith this application customers can apply for loans without collateral digitally, anywhere, and anytime. Of course, we need a system that can help the process of managing data from Pinang customers, starting from adding company cooperation with the Pinang application to maintaining and monitoring the system. So a Pinang dashboard information system is needed that can assist in the operation of the Pinang application that is capable of managing data, monitoring, and maintenance if there are problems in the Pinang application borrowing process. The Pinang dashboard can make it easier to manage, monitor, and provide information related to the Pinang application, including customer status, whitelist, repayment, disbursement, outstanding, ID card approval, and report withdrawal. The areca dashboard is built using the waterfall method, this method in its design uses UML diagrams, use case diagrams, activity diagrams, sequence diagrams, class diagrams, and entity-relationship diagrams (ERD). The implementation of making Pinang dashboards uses the Golang programming language, Node Js, React Js, keycloak, and the PostgreSQL database. With the Pinang Dashboard, it is hoped that it can facilitate the operational team in maintaining the Pinang application and building a system that can manage, monitor, and provide information related to the Pinang application.

 

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Author Biography

M. Farhan Zidni L., Universitas Pancasila

Mahasiswa Program Studi Teknik Informatika
Universitas Pancasila, Jakarta

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Published
2020-12-08
How to Cite
Andiani, A., & Zidni L., M. (2020). DASHBOARD INFORMATION SYSTEM OF PEMINJAMAN UANG (PINANG) APPLICATION. Jurnal Riset Informatika, 3(1), 67-74. https://doi.org/10.34288/jri.v3i1.220
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