Abstract
Proriasis is a type of chronic disease of the human skin.problem of psoriasis At the end of the day, theis becoming more interesting because the main cause of this disease has not been found, which has only been found while the cause of psoriasis is genetics. Because the cause is not known for sure, this disease is difficult to cure. Although this disease is not contagious and life-threatening to sufferers, it can damage internal organs if not handled properly. This study aims to determine the level of accuracy in identifying psoriasis in humans. There are several types of symptoms that refer to psoriasis. Furthermore, the data is processed manually with themethod Case Based Reasoning and continued by using a-based expert system software website. The processing stage is to use theprocess, which retrieve is a process of finding the similarities between new cases and existing cases in the knowledge base. The results of the data processing are continued with the calculation of the level of accuracy. The result of testing this method is that there are 100% of the 12 test data. Based on the accuracy of the identification results of this system, this study is very precise in the level of identifying the level of accuracy of psoriasis in humans. Expert testing system has been able to identify thedisease psoriasis specific. Through thismethod Case Based Reasoning , the level of accuracy that can be obtained is quite accurate and can help skin and genital specialists in improving accuracy in identifyingdiseases Case Based Reasoning in humans.
Highlights
Proriasis is a type of chronic disease of the human skin.problem of psoriasis At the end of the day, theis becoming more interesting because the main cause of this disease has not been found, which has only been found while the cause of psoriasis is genetics
This study aims to determine the level of accuracy in identifying psoriasis in humans
INTECOMS: Journal of Information Technology and Computer Science, 1(1), 119-123
Summary
Pada hasil dan pembahasan terdapat beberapa aktifitas yang dilakukan diantaranya sebagai berikut: 3.1. 2 G02 Kulit kering dan pecah-pecah hingga berdarah 3 G03 Rasa gatal dan perih terbakar pada area yang terkena 4 G04 Area kulit yang berwarna gelap bisa bertambah berpedoman pada basis pengetahuan yang dimiliki oleh sistem itu sendiri.Sebagai contoh, berikut dialog user dengan sistem pakar serta data gejala penyakit psoriasis gelap, berubah warna menjadi abu-abu keunguan pada aplikasi Sistem Pakar dapat dilihat pada Tabel 4. Kulit tebal berwarna merah di kulit kepala Kulit kepala terkelupas Kemunculan bintik-bintik merah kecil (pustula) yang menyebar merata di permukaan kulit Tekstur bintik tidak setebal plak pada Psoriasis vulgaris Ruam memerah menyerupai tetesan air Bentuk psoriasis ini paling sering muncul setelah terjadi infeksi pada kulit, seperti akibat infeksi bakteri streptococcus, atau infeksi virus cacar air Bercak merah yang terlihat halus di kulit Peradangan pada kulit yang akan memburuk
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