In this study a fuzzy expert system design for diagnosing, analyzing and learning purpose of the prostate cancer diseases was described. For this process it was used prostate specific antigen (PSA),age and prostate volume (PV) as input parameters and prostate cancer risk (PCR) as output. This system allows determining if there is a need for the biopsy and it gives to user a range of the risk of the cancer diseases. There was observed that this system is rapid, economical, without risk than traditional diagnostic systems, has also a high reliability and can be used as learning system for medicine students.
Keywords: Fuzzy logic, expert system, prostate cancer, prostate specific antigen, prostate volume
1. METODOLOGI PENELITIAN
Pada penelitian ini, pengembangan sistem menggunakan data dari literatur (Brawer, dan Kirby, 1999) dan (Seker, Odetayo, Petrovic, D. dan Naguib, 2003), terutama dalam tahap pengujian.
Data yang diperlukan adalah antigen spesifik prostat (Prostate Spesific Antigen /PSA), umur pasien (Age), dan volume prostat (Prostate Volume /PV) sebagai parameter masukan dan skala resiko kanker prostat (Prostate Cancer Risk /PCR) sebagai keluaran. Untuk proses fuzzifikasi beberapa parameter tersebut digunakan variabel linguistik very small (VS), small (S), middle (M), high (H), very high (VH), very low (VL), dan Low (L), serta menggunakan metode Mamdani max-min dalam proses inferensi-nya.
