Sistem Pendukung Keputusan Berdasarkan Profil Keuangan Pribadi di Aplikasi SiKencur
DOI:
https://doi.org/10.30865/jurikom.v13i2.9705Keywords:
Decision Support System, Financial Profiling, Personal Finance Management, Mobile Application, React Native, Behavioral ClassificationAbstract
Many individuals struggle to manage personal finances due to a lack of tools that provide advice tailored to their actual spending habits. This study develops and evaluates a Decision Support System (DSS) module within a mobile personal finance application called SiKencur. The system classifies users into four financial behavior profiles based on three transaction indicators computed over a six-month window. Testing with 30 users over four weeks yielded a classification accuracy of 82.6%, a usability score of 78.4 out of 100 (“Good” category), and a user satisfaction rating of 4.2 out of 5. The system's key advantage is the integration of personalized financial guidance directly within a single platform a capability not found in comparable applications.
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