Sistem Pakar Mendiagnosa Penyakit Anemia Berbasis Web Menggunakan Metode Teorema Bayes
Keywords:
Expert System, Bayes Theorem, AnemiaAbstract
The Bayes theorem method in which this method builds a system that works by calculating probabilities based on the symptoms experienced by the patient. This expert system is designed using the programming language php, html and MySQL as the database. The results of this study are able to diagnose anemia suffered by patients and are able to provide solutions to the disease. This study aims to make it easier for the community to deal with anemia without having to come in line to the health center and to be able to provide accurate analysis results regarding the handling of anemia easily and quickly. Therefore a website application was designed to diagnose anemia using the Bayes theorem method. The Bayes theorem method in which this method builds a system that works by calculating probabilities based on the symptoms experienced by the patient. This expert system is designed using the programming language php, html and MySQL as the database. The results of this study are able to diagnose anemia suffered by patients and are able to provide solutions to the disease.
References
Andriani, R., & Prakosos, B. D. (2016). SISTEM PAKAR DIAGNOSA PENYAKIT HYPEROPIA DAN MYOPIA PADA MANUSIA BERBASIS ANDROID MENGGUANAKAN TEOREMA BAYES. SEMNASTEKNOMEDIA ONLINE.
Asriyanti Indah Pratiwi, & Adiwijaya. (2018). On the Feature Selection and Classification Based on Information Gain for Document Sentiment Analysis. Applied Computational Intelligence and Soft
Faza Akmal, S. W. (Februari 2014). SISTEM PPAKAR UNTUK MENDIAGNOSA PENYAKIT LAMBUNG DENGAN IMPLEMENTASI METODE CBR (CASE BASED REASONING) BERBASIS WEB. Jurnal Sarjana Teknik Informatika, 2 (1).
Rosnelly, R. (2017). Sistem Pakar Konsep dan Teori. Yogyakarta,: Penerbit Andi.
T.Sutojo, E. M. (2011). Kecerdasan Buatan. Yogyakarta: Andi.
