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Hamidah, Ema Nur
Universitas Janabadra
Computer Science & IT

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DETEKSI GEJALA VIRUS ZIKA MENGGUNAKAN CERTAINTY FACTOR DAN NAIVE BAYES BERBASIS ANDROID Hamidah, Ema Nur; Fitriastuti, Fatsyahrina
Informasi Interaktif Vol 4, No 1 (2019): Jurnal Informasi Interaktif
Publisher : Universitas Janabadra

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Abstract

Zika's disease or zika fever is a zika virus, the zika virus is spread by infected Aedes mosquitoes, this mosquito becomes infected after bites the sufferer who has the virus. Zika's disease worse when exposed to pregnant women, because women infected with this virus will automatically pass it to the baby in the womb, and can cause death if the baby survives will experience the baby aka birth with a smaller head than it should be. To help the problems faced by experts or medical personnel in diagnosing Zika's disease in these patients, where the activity is seen from the symptoms suffered by the patient. By using Certainty Factor and Naive Bayes based Android is expected to assist medical personnel or experts in calculating the diagnosis of the patient and the expert can know whether the patient must have zika disease or vice versa. Keywords: Virus Zika, Certainty Factor, Naive Bayes, Android.
Co-Authors Fatsyahrina Fitriastuti