PENERAPAN METODE PERCEPTRON MENGIDENTIFIKASI PENYAKIT TUBERCULOSIS ( TBC ) PRIMER PADA ANAK ( STUDI KASUS PUSKESMAS BAGAN BATU, KAB.ROKAN HILIR, RIAU )

Abstract

Based on the data from healty ministry of Republic of Indonesia in 2013 said Tuberculosis
disease for children now is growing so fast. This TBC is not “contaminate†but still dangerous for the
children itself. Perceptron method is the best method in Artificial Intelligence system it can be used in
identifying the pattern very well, because this Perceptron method has the learning process that can
generate the convergent weight so the output value equal to target every single input. The way to
determine the inputs for testing is used the criteria “identified and disidentifiedâ€, so that in this research
applying JST will really helpful doctor in diagnosing early properly, because the result of real diagnosing
is really helpful in decreasing the contaminated of Primary TBC. The accuracy with 15 samples of
training data produce 60%, while the testing data proving 100% that this method can identify the disease
pattern.