IMPLEMENTASI SISTEM PAKAR DI BIDANG KEDOKTERAN UNTUK MENDIAGNOSA KANKER KANDUNGAN MENGGUNAKAN METODE CERTAINTY FACTOR

MAHERNI NGADIYANINGSIH, NIM. 08651024 (2013) IMPLEMENTASI SISTEM PAKAR DI BIDANG KEDOKTERAN UNTUK MENDIAGNOSA KANKER KANDUNGAN MENGGUNAKAN METODE CERTAINTY FACTOR. Skripsi thesis, UIN SUNAN KALIJAGA.

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Abstract

Cervical cancer is the number one cause of death yng common in women in the world especially in Indonesia. Prevention role to cope with the number of cancers caused one expert who knows the number of cervical cancer is not too much. Expert system to diagnose cervical cancer are expected to provide ease in diagnosing early cervical cancer based on symptoms and complaints of the patient. The system is built using the programming language PHP and MySQL. The system is able to coordinate the knowledge of experts that are uncertain, for the used method Certainty Factor (CF). Representation used is rule-based expert systems and inference techniques or methods used in this study is forward chaining. Based on the results of the percentage of tests performed, it can be concluded that the functional expert system is able to run and function well. Most of the users claimed 73.33% agreed to the construction of the system interface and the percentage of eligibility based on medical records system by 37.04%. The results can be explained as a percentage of medical records provided by general hospitals only provide specific symptoms experienced by the patient while the system is dynamic and displays all the symptoms that may be suffered by the patient so that the system does not show the feasibility of testing the maximum results. Keywords: Expert System, Uterus Cancer, Certainty Factor (CF), Forward Chaining.

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