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 Tuberculosisdisease for children now is growing so fast. This TBC is not “contaminate” but still dangerous for thechildren itself. Perceptron method is the best method in Artificial Intelligence system it can be used inidentifying the pattern very well, because this Perceptron method has the learning process that cangenerate the convergent weight so the output value equal to target every single input. The way todetermine the inputs for testing is used the criteria “identified and disidentified”, so that in this researchapplying JST will really helpful doctor in diagnosing early properly, because the result of real diagnosingis really helpful in decreasing the contaminated of Primary TBC. The accuracy with 15 samples oftraining data produce 60%, while the testing data proving 100% that this method can identify the diseasepattern.
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