Sistem Pakar Diagnosa Penyakit THT Menggunakan Metode Dempster Shafer
Main Author: | Yulianto, Dony |
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Format: | Thesis NonPeerReviewed Book |
Bahasa: | eng |
Terbitan: |
, 2019
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Subjects: | |
Online Access: |
http://eprints.umm.ac.id/54760/43/PENDAHULUAN.pdf http://eprints.umm.ac.id/54760/44/BAB%20I.pdf http://eprints.umm.ac.id/54760/45/BAB%20II.pdf http://eprints.umm.ac.id/54760/46/BAB%20III.pdf http://eprints.umm.ac.id/54760/47/BAB%20IV.pdf http://eprints.umm.ac.id/54760/48/BAB%20V.pdf http://eprints.umm.ac.id/54760/6/LAMPIRAN.pdf http://eprints.umm.ac.id/54760/ |
Daftar Isi:
- Various diseases in humans can cause serious problems if not quickly handled, such as ENT diseases (ear, nose, and throat). People with ENT disease in Indonesia is quite high, because people often consider the condition of ENT disease and lack of information about the disease. There is a system that provides information about the symptoms in ENT diseases and what types of diseases suffered, as well as what is the right solution to handle ENT diseases. The subject in this study is an expert system for diagnosing ENT diseases. The study used two methods, namely the uncertainty method using Putty Shafer and the search method that is Forward Chaining. The development step starts from collecting data, then creating a Rule Based, implementing methods, and conducting expert accuracy testing. The results of this research is a system of experts diagnose ENT diseases as many as 7 types of diseases with the symptoms as much as 24 types. This research also uses the method of putty Shafer to get certainty of the percentage value of certainty in the diagnosis of diseases. Based on expert testing results, it can be concluded that an expert system has a level of similarity with experts at 85% which means that the expert system is worthy of use.