%A  1317051033  IRFANI MAHARANI
%T PENENTUAN JENIS MALARIA DENGAN MENGGUNAKAN METODE
FORWARD CHAINING DAN NAIVE BAYES BERBASIS MOBILE
%X ABSTRAK

Penelitian ini dilakukan untuk membuat suatu sistem pakar yang mampu
mengidentifikasi jenis malaria berdasarkan pengetahuan yang diberikan langsung
dari pakar/ahlinya. Penelitian ini menggunakan metode perhitungan Naive Bayes
dalam menghitung tingkat kepakaran dan dibuat pada mobile device platform
Android. Data penelitian ini terdiri dari data gejala dan data jenis malaria, serta
data aturan. Pada penelitian ini data jenis malaria dibatasi yaitu berjumlah 4 jenis
penyakit dengan 25 jenis gejala dan 4 jenis aturan. Metode inferensi yang
digunakan yaitu forward chaining 
Kata Kunci : Sistem Pakar, Naive Bayes, Forward Chaining, Jenis Malaria,
Skala Likert, Android.

ABSTRACT

This research is aimed to establish an expert system that may identify the type of
malaria based on knowledge that is given by the expert. This study uses Na?ve
Bayes calculation in  measuring the level of expertise which is generated in
Android mobile device platform. The data  of this research consist of symptoms
data, types of malarias data, and data rules. The type of malaria in this study are
limited for 4 types only with 25 types of symptoms and 4 types of rules. The
inference method in this study uses forward chaining method by searching the
rules based on the answers that given by users. The answers of users then are
processed by rules and computed by using Na?ve Bayes calculation. The
searching process is continued until getting a conclusion of malaria type
probability in percentage. The results showed: 
Key Words : Expert System, Naive Bayes, Forward Chaining, Type of Malaria,
Likert Scale, Android.
%C UNIVERSITAS LAMPUNG
%D 2017
%I FAKULTAS MATEMATIKA DAN ILMU PENGETAHUAN ALAM
%L eprints27628