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.
Penulis: Murien Nugraheni, Sri
Hartati
Kode Jurnal: jptkomputerdd170176
