Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer
Vol 2 No 5 (2018): Mei 2018

Implementasi Metode Weighted Product - Certainty Factor untuk Diagnosa Penyakit Malaria

Yayuk Wiwin Nur Fitriya (Fakultas Ilmu Komputer, Universitas Brawijaya)
Nurul Hidayat (Fakultas Ilmu Komputer, Universitas Brawijaya)
Marji Marji (Fakultas Ilmu Komputer, Universitas Brawijaya)



Article Info

Publish Date
08 Sep 2017

Abstract

Malaria is a disease caused by plasmodium parasites. Malaria is spread through mosquito bites that have been infected by the parasite. Malaria symptoms include headaches, high fever, diarrhea, rapid breathing,nausea and vomiting. Malaria can be deadly because it causes damage to heart, kidney and brain damage. So we need a system application to diagnose malaria. It is expected this application can help people or users to get an initial diagnosis as a doctor's referral. In this application the user selects the yes or no buttons for the parameters of malaria symptoms. The data that the user entered is then processed using an algorithm of weighted product and certainty factor to generate early diagnosis type of malaria. In this method there are 22 criteria used and 4 types of malaria. Based on test cases the results accuracy level obtained the test results of an average accuracy of 84%. Accuracy values ​​are derived from 5 test scenarios with different data variants indicating the application was works properly.

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Journal Info

Abbrev

j-ptiik

Publisher

Subject

Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering

Description

Jurnal Pengembangan Teknlogi Informasi dan Ilmu Komputer (J-PTIIK) Universitas Brawijaya merupakan jurnal keilmuan dibidang komputer yang memuat tulisan ilmiah hasil dari penelitian mahasiswa-mahasiswa Fakultas Ilmu Komputer Universitas Brawijaya. Jurnal ini diharapkan dapat mengembangkan penelitian ...