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All Journal JIKSI (Jurnal Ilmu Komputer dan Sistem Informasi)
Martin Johnsons
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Computer Science & IT Mathematics Other

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SISTEM PENUNJANG KEPUTUSAN UNTUK IDENTIFIKASI PENYAKIT MALARIA Martin Johnsons; Dali Santun Naga; Dedi Trisnawarman
Jurnal Ilmu Komputer dan Sistem Informasi Vol 7, No 1 (2019): JURNAL ILMU KOMPUTER DAN SISTEM INFORMASI
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (206.304 KB) | DOI: 10.24912/jiksi.v7i1.5922

Abstract

Malaria is one of serious threat that still lurking in Indonesia. In 2013, there are as many as fifteen provinces that exceeded national malaria’s prevalence number. The making of Decision support system for identifying malaria is targeted to lower malaria cases and reduce the risk of being late in handling malaria due to lacking of knowledge about malaria disease. This system is designed to count one’s odds (in percentage) of being infected by malaria. The DSS itself will be using Naïve Bayes method that is derived from probabilistic theorem of Bayes’.
Co-Authors Dali Santun Naga Dedi Trisnawarman