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ZENODO
Article . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
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Design and Implementation of a Web-Based Management System for Mgbakwu Cooperative Society

Authors: Nwoye, J. N.; Mmaduakonam, N. E.; Ezeanya, I. H.;

Design and Implementation of a Web-Based Management System for Mgbakwu Cooperative Society

Abstract

The Mgbakwu Cooperative Management System is a web-based application designed to automate and digitize the daily operations of the Mgbakwu Cooperative Society. Manual recordkeeping methods traditionally used in cooperative societies are prone to delays, data loss, and financial inaccuracies. To address these challenges, the proposed system integrates core cooperative functions—such as member registration, savings and share contributions, loan application and approval workflows, and financial accounting- into a unified digital platform. The system was designed and implemented using React for the frontend interface, Flask (a Python-based framework) as the backend framework, and MySQL as the database engine for persistent data storage. The architecture follows a client–server model with RESTful API communication between the frontend and backend layers. Role-Based Access Control (RBAC) ensures data security and accountability among users, including the President/Administrator and general members. Key features of the system include automated contribution tracking, loan amortization scheduling, real-time reporting, and document management. Testing and validation of the system confirmed its efficiency in managing member data, processing loans, and generating timely financial reports. The software significantly improves transparency, reduces human error, and enhances decision-making processes within the cooperative. The Mgbakwu Cooperative Management System thus represents a scalable and secure digital solution for modernizing cooperative operations in community-based financial organizations.

Keywords

Localized Dataset, Food Security, Convolutional Neutral Network (CNN), Plant Disease Detection

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green