Skripsi

DIAGNOSA INFEKSI SALURAN PERNAPASAN AKUT MENGGUNAKAN ALGORITMA NAIVE BAYES CLASSIFIERS.

---

Penilaian

---

ARI is a disease that attacks the respiratory tract which can be caused by a viral infection or can also be caused by other diseases or other conditions, under certain conditions ARI can cause complications if not immediately examined and treated. Diagnosing ARI is not easy for the general public. In this case an expert system can help deal with the problem by building a system that people can use to find a solution. To diagnose the disease, a method of uncertainty is needed in diagnosing ARI. The Naïve Bayes method is a method of uncertainty that is suitable to be applied in the problem of classifying the types of ARI. The implementation of the Naïve Bayes method in the application is to calculate the probability of the disease suffered by the patient based on the weight of the expert's level of confidence for each symptom that has been entered by the patient. The total number of data tested amounted to 110 data. The accuracy rate of the test results reached 87,27%.

---

Availability

Inventory Code	Barcode	Call Number	Location	Status
2307000730	T87441	T874412023	Central Library (Referens)	Available

Detail Information

Series Title

-

Call Number

T874412023

Publisher

Indralaya : Prodi Teknik Informatika, Fakultas Ilmu Komputer Universitas Sriwijaya., 2023

Collation

xiv, 73 hlm.; ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

-

Classification

004.07

Content Type

Text

Media Type

unmediated

Carrier Type

-

Edition

-

Subject(s)

Prodi Teknik Informatika
Pemrosesan Data Elektronik

Specific Detail Info

-

Statement of Responsibility

MURZ

Other version/related

File Attachment

Comments

---

You must be logged in to post a comment