Resource mobilization application for Non-Governmental Organisations in Kenya: case of health sector
Koech, Jeruto Doreen
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Resource mobilization is a valued component for strengthening Non-Governmental Organizations. NGOs require resources to help them continue providing services to the community. However, these resources are often insufficient to meet the needs and risingcosts of running an organisation.The existing resource mobilization techniques have proven to be in-effective as a result of structural differences among the NGOs. ResourceMobilization application allows for the organizations to pool together resources without compromising on their vision and mission. The main components of the application are Naïve Bayesian Algorithm for classification and Geographical Information System for mapping. The Naïve Bayesian Algorithm was selected because it does not have complicated iterative parameter estimation which makes it useful for large datasets. The reliability and space efficiency of the algorithm makes it suitable for classification. The results obtained from the application indicated that Naïve Bayesian algorithm is an appropriate algorithm which can be implemented in resource mobilization. The classification was done based on the input variables obtained from different organizations.The application accuracy was at 94.9495% which indicates that the application is reliable as tool for resource mobilization.