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The Implementation of Classification Algorithm C4.5 in Determining the Illness Risk Level for Health Insurance Company in Indonesia
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 177 - Number 37 |
| Year of Publication: 2020 |
| Authors: Apriyudha Angkasa P., Devi Fitrianah |
10.5120/ijca2020919883
|
Apriyudha Angkasa P., Devi Fitrianah . The Implementation of Classification Algorithm C4.5 in Determining the Illness Risk Level for Health Insurance Company in Indonesia. International Journal of Computer Applications. 177, 37 ( Feb 2020), 44-50. DOI=10.5120/ijca2020919883
Abstract
Fundamental thing on health insurance is how to manage all contributions fee from membership insurance, so it can use for finance health services. In this writer’s case, the problem of health insurance is when registered membership insurance, there's no validation or adjustment about fee insurance with a history of illness from the applicant. That thing will be increasing financial cost if insurance does not use another approach from health services like promotive and preventive services for manage illness registered membership for health insurance, so that can be suppress financing of health services. Based on data on health insurance, they can do classification processing data and combined with algorithm C 4.5 for proses classification. Classification that has been used for mapping the level of risk illness membership in health insurance. Result from this research using a ten-fold cross-validation / confusion matrix with accuracy 99,87%.
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