Expert System for Early Diagnosis of Malaria Disease and Its Prevention Using the Forward Chaining Method

Sartika Situmorang; Patmawati Hasan; Rahmat H. Kiswanto

doi:10.59890/ijarss.v3i1.153

Authors

Sartika Situmorang Universitas Sepuluh Nopember Papua
Patmawati Hasan Universitas Sepuluh Nopember Papua
Rahmat H. Kiswanto Universitas Sepuluh Nopember Papua

DOI:

https://doi.org/10.59890/ijarss.v3i1.153

Keywords:

Expert System, Forward Chaining, Papua, Malaria

Abstract

Malaria is one of the endemic diseases that is a major health challenge in the 3T (Disadvantaged, Frontier, and Outermost) areas, especially in Papua. The limited number of health workers in this area worsens the handling and early diagnosis of malaria. This study aims to design an expert system based on the forward chaining method to detect malaria early based on reported symptoms. The test results show that the system's accuracy level reaches 80%, which is included in the very good category. This system is expected to help the community in carrying out early detection independently before receiving further medical treatment. To improve accuracy, it is recommended to combine the forward chaining method with a certainty factor so that the system can consider the level of certainty in the diagnosis, so that the results provided are more optimal.

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