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Sistem Pakar Diagnosa Awal Penyakit Mata dengan Metode Bayesian Network

Almost every human activity needs an eye to
support these activities, therefore it will have a bad effect if
the eyes experience interference. Disorders that can be
experienced in the eye can occur from minor disorders to
disorders that cause loss of vision and even death. Based on
the results of the Rapid Assessment Assessment of Avoidable
Blindness (RAAB), the blindness rate in districts/cities in
NTB was 4%. This is not only due to medical-related
problems but also due to social problems related to
knowledge from the community, facilities, and resources. To
make it easier for the public to make an initial diagnosis of
eye disease, one thing that can be done is to use an expert
system. Various methods can be implemented for expert
systems, one of which is the Bayesian Network method. Based
on the results of accuracy testing that has been done, this
application provides an accuracy rate of 84.99%. Whereas, if
the system diagnosis results are a subset of expert diagnostic
results, the accuracy rate is 89.99% and based on the results
of the use made by the general public, this application has
been running well and has provided clear information related
to the diagnosis of eye disease.

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Informasi Detail
Judul Seri
-
No. Panggil
621.381.Nov.s
Penerbit
Universitas Mataram : Fakultas Teknik Unram.,
Deskripsi Fisik
xiv,51 Hlm: Illus:21x29 cm
Bahasa
Indonesia
ISBN/ISSN
-
Klasifikasi
621.381
Tipe Isi
other
Tipe Media
computer
Tipe Pembawa
audio disc
Edisi
edisi pertama
Subjek
SISTEM PAKAR DIAGNOSA AWAL PENYAKIT MATA
-Almost every human activity needs an eye to suppo
Diagnosing, Android, Expert System, Bayesian Netwo
Info Detail Spesifik
Sistem Pakar Diagnosa Awal Penyakit Mata dengan Metode Bayesian Network
Pernyataan Tanggungjawab
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