Jurnal Rekayasa Informasi
Vol 12 No 2 (2023): JURNAL REKAYASA INFORMASI Vol 12 No 2 Tahun 2023

RANCANGAN APLIKASI SISTEM PENGELOLAAN KEUANGAN PRIBADI MENGGUNAKAN METODE KAKEIBO BERBASIS ANDROID

Suharni - (Unknown)
Eel Susilowati (Unknown)
Muhammad Rimbadi Ma'rif (Unknown)



Article Info

Publish Date
07 Nov 2023

Abstract

ABSTRACT The 2022 National Survey of Financial Literacy and Inclusion (SNLIK) describes a financial literacy index of 49.68% and a financial inclusion index of 85.10%. This value increased compared to the results in 2019.However, that in general the Indonesian people do not understand the use of financial products or services and financial management to achieve prosperity.To overcome the lack of financial literacy, there is a financial method called Kakeibo. Therefore, Create a personal financial management application design using the Android-based Kakeibo method to be a solution in managing personal finances. The application was created using the waterfall method starting from the analysis stage, design, coding ,and testing. At the analysis stage, determine the features that will be created according to the needs of application users. At the design stage, a design is created using the UML (Unified Modeling Language) model which consists of use case diagram, activity diagram, class diagram, and interface design in accordance with the features that have been determined at the analysis stage. The design model and features created describe how users interact with Personal financial management information system application using Kakeibo based on Android mobile. The application design has been successfully created, The next stage can be implemented by coding according to the program design and testing. Keyword : Application, Financial Management, Kakeibo, Android

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Journal Info

Abbrev

rekayasainformasi

Publisher

Subject

Computer Science & IT

Description

Sistem Informasi Teknologi Informasi dan Komunikasi Sistem Pendukung Keputusan Rekayasa Sistem Informasi Database, Datamining, Big Data Enterprise Application Bussiness Intellegent Machine Learning Artificial intelligence Knowladge Manajemen ...