Penulis / NIM

RAMDHIN MAPALIEY / 531408063

Program Studi

S1 - SISTEM INFORMASI

Pembimbing 1 / NIDN

AGUS LAHINTA, ST., M.Kom. / 0017087402

Pembimbing 2 / NIDN

ARIP MULYANTO, M.Kom / 0023037603

Abstrak

ABSTRACT This research aims at giving recommendation of Karawo pattern to its cutomer using Nave Bayes algorithm. Using dataset as the training data that might be consistent, inconsistent or bias, the hypothesis is needed to have conditional probability to figure the characteristic classification using Nave Bayes alogithm. The biggest value of Nave Bayes calculation will be the parameter to determine suitable character for customer. According to the result it can be concluded that Nave Bayes can be able to classify customer character with the average performance accuracy value of 90.48 % Keywords : Classification, Nave Bayes, Karawo

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Abstrak

Bab I : Pendahuluan

Bab V : Kesimpulan, Saran dan Daftar Pustaka