Bulletin of Computer Science Research
Vol. 6 No. 4 (2026): June 2026

Perancangan Aplikasi FinanSmart dengan Financial Health Score dan Family Link untuk Manajemen Keuangan Mahasiswa

Natasha Patricia Nainggolan (Universitas Negeri Medan, Medan)
Nayla Anjani Nasution (Universitas Negeri Medan, Medan)
Zevan Irfandi Surbakti (Universitas Negeri Medan, Medan)



Article Info

Publish Date
07 Jun 2026

Abstract

Students often face difficulties in systematically managing their personal finances due to limited financial literacy and the absence of applications specifically designed for their needs. This condition can lead to consumptive behavior, inability to save, and prolonged financial dependency. This study aims to design and develop a web-based student financial management application named FinanSmart using the Research and Development (R&D) method with the Waterfall development model. The main innovations of this system include a Financial Health Score (FHS) mechanism calculated automatically each month as a quantitative indicator of students' financial health, and a Family Link feature that allows parents to monitor their child's financial condition in real-time while full privacy control remains with the student. Additionally, the system is equipped with spending pattern analysis, two-level budget notifications, daily reminders, and gamification elements to encourage consistent financial management. Functional testing using Black Box Testing on 18 test scenarios demonstrated a 100% success rate, proving that all features operate according to functional specifications. This system is expected to measurably improve students' financial awareness and behavior through personalized financial health score feedback and family-based monitoring features.

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Journal Info

Abbrev

bulletincsr

Publisher

Subject

Computer Science & IT

Description

Bulletin of Computer Science Research covers the whole spectrum of Computer Science, which includes, but is not limited to : • Artificial Immune Systems, Ant Colonies, and Swarm Intelligence • Bayesian Networks and Probabilistic Reasoning • Biologically Inspired Intelligence • Brain-Computer ...