SISTEM PAKAR MENDIAGNOSA PENYAKIT GINJAL MENGGUNAKAN METODE CASE BASED REASONING

Penulis

  • Wasit Ginting Fakultas Ilmu Komputer Universitas Katolik Santo Thomas Sumatera Utara

Abstrak

Infectious diseases known as infectious diseases are a disease caused by a biological agent (such as viruses, bacteria or parasites), which can be transmitted or transmitted to others through certain media such as air, food and drink that are less clean , syringes and blood transfusions and direct contact with the patient. The expert system is one of the branches of Artificial Intelligence that makes extensive use of knowledge, especially for the expert-level problem-solving. Bayes is a simple probabilistic based prediction technique based on bayes rules. The goal to be achieved is to create a useful expert system application as a tool to get information on infectious diseases in infants.

 

Keyword: Infectious Diseases, Expert Systems, Bayes, Infant

Referensi

[1] Ennanda Putrie, A. S. (2012). SISTEM PAKAR MENDIAGNOSA PENYAKIT GINJAL MENGGUNAKAN METODE ALGORITMA FUZZY LOGIC (Doctoral dissertation, Faculty of Industrial Engineering).
[2]Aditya, E. R. (2016). Sistem Pakar Pendiagnosa Penyakit Ginjal menggunakan Metode Penalaran Forward Chaining dan teknik penelusuran Best-First Search (Doctoral dissertation, Program Studi Teknik Informatika FTI-UKSW).
[3] Akmal, F., & Winiarti, S. (2014). Sistem Pakar Untuk Mendiagnosa Penyakit Lambung dengan Implementasi Metode CBR (Case-Based Reasoning) Berbasis Web. JSTIE (Jurnal Sarjana Teknik Informatika)(E-Journal), 2(1), 119-129.
[4]Muzid, S. (2008). Teknologi Penalaran Berbasis Kasus (Case Based Reasoning) Untuk Diagnosa Penyakit Kehamilan. In Seminar Nasional Aplikasi Teknologi Informasi (SNATI) (Vol. 1, No. 1).
[5]Sankar K. Pal & Simon C. K. Shiu. (2004). Foundations of soft Case-Based Reasoning. Wiley Intercience.

Diterbitkan

2018-07-01