Hadnian, Bagus (2019) SISTEM BERBASIS PENGETAHUAN DIAGNOSA PENYAKIT PARU-PARU MENGGUNAKAN METODE CERTAINTY FACTOR. Tugas Akhir thesis, University of Technology Yogyakarta.
|
Text
Naskah Publikasi-Bagus Pramana Hadnian-5140411290.pdf Download (615kB) | Preview |
Abstract
Lung disease is a disease of which level of occurrence is quite extensive and can affect anyone regardless of age and ethnicity. In everyday life we encounter many diseases such as asthma, bronchitis, wet lungs, coughing and fever. Although there are some lung diseases that are not life-threatening, they should not be considered trivial, given the various complications that can be caused. The lungs are vital organs for the body, so lung health is very important to maintain. Given the function of the lungs as a human respiratory tool. Dirty environment, air pollution which is getting heavier and unhealthy lifestyles cause lung disease. No matter how small the lung disease is dangerous, it also disrupts activities. For this reason, it is necessary to create a system that can diagnose lung disease in order to find out early about the lung disease suffered. The subject in this study was a diagnosis of lung disease. The step of system development begins with system analysis, system design, among others, by building a knowledge base, creating rules tables and belief values, designing data flow, Entity Relational Diagrams then make the implementation and testing of system accuracy with 71,19% accuracy. Keywords: System, Diagnosis, Certainty Factor, Lung Disease.
| Item Type: | Thesis (Skripsi, Tugas Akhir or Kerja Praktek) (Tugas Akhir) |
|---|---|
| Subjects: | T Technology > T Technology (General) |
| Divisions: | Fakultas Sains Dan Teknologi > S1 Informatika |
| Depositing User: | Kaprodi S1 Informatika UTY |
| Date Deposited: | 28 Oct 2019 00:03 |
| Last Modified: | 28 Oct 2019 00:03 |
| URI: | http://eprints.uty.ac.id/id/eprint/3577 |
Actions (login required)
 |
View Item |
