SISTEM PENALARAN BERBASIS KASUS UNTUK PENDUKUNG DIAGNOSIS GANGGUAN PENYAKIT PADA UNGGAS (Case Based Reasoning System to Support Diagnosis of Diseases in Poultry)

Abstract

Case-Based Reasoning (CBR) is a computer system that uses old knowledge to solve new problems. CBR provide solutions for new cases by looking at an old case that comes closest to the new case. It will be very useful because it eliminates the need to extract the model as required by the rules-based system. Moreover, CBR can also be started from a small amount of knowledge, because the knowledge of CBR can be increased gradually when a case is added.
This study tries to establish a system for Case-Based Reasoning System to Support Diagnosis of Diseases in Poultry by looking at the characteristics of existing symptoms in poultry. Diagnosis process is done by inserting a new cases that contain the symptoms of the disease to be diagnosed into the system, then the system will do the indexing process or classification with C4.5 algorithm method to obtain an index of new cases. After obtaining an index of the cases, then the system do the calculating of the value of similarity between the new case by case which has the same index with new cases using Cosine Similarity method. The case taken is the case with the highest similarity value. If a case is not successfully diagnosed, then the case will be revised by experts. Revised successful cases will be stored into the system to be used as new knowledge for the system.
The results showed case-based reasoning system to diagnose disease of poultry can help experts and farmers in performing diagnostics. The test results of 30 test cases, system has been to produce similarity of 28 cases (93.33%) and obtained 2 cases (6.67%) have similarity values below 0.8 will be revised by experts.

Keywords: CBR, poultry, indexing, similarity, cosine similarity