September 10, 2025International Journal of Entrepreneurship Business and Creative Economy

Mobile Based Application for Loan Approval and Loan Distribution Using Machine Learning in Savings and Loan Cooperatives

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Authors

BNBenni Agung Nugroho RARinanza Zulmy Alhamri TCToga Aldila Cinderatama

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Implication

This research explores a mobile application that improves loan approval and distribution in savings and loan cooperatives, suggesting machine learning can boost efficiency.

Key Points

Loan approval recommendation accuracy reached 90% using machine learning methods.
The mobile application serves two user types: admin for management and members for loan retrieval.
Data preprocessing steps included cleaning, label encoding, and normalization for effective machine learning.
The mobile system addresses delays in credit payments and provides automated loan profiles.

Cite This Study

Nugroho et al. (2025) studied this question.

synapsesocial.com/papers/68c23f1fb210217d64794ef8 https://doi.org/10.31098/ijebce.v5i2.3397

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Implication

This research explores a mobile application that improves loan approval and distribution in savings and loan cooperatives, suggesting machine learning can boost efficiency.

Mobile Based Application for Loan Approval and Loan Distribution Using Machine Learning in Savings and Loan Cooperatives

Discussion

Member takes

Implication

Key Points

Cite This Study

Mobile Based Application for Loan Approval and Loan Distribution Using Machine Learning in Savings and Loan Cooperatives

Discussion

Member takes

Implication

Key Points

Cite This Study

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