Skripsi

IMPUTASI MISSING VALUES BERDASARKAN ALGORITME REPEATED INCREMENTAL PRUNING TO PRODUCE ERROR REDUCTION DAN PENGACAKAN DATA PADA DATASET HEPATITIS

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ABSTRACT

Hepatitis disease is health problems that were quite serious in the world, including Indonesia. Consist of A,B,C,D dan E, Disease it appears often as an outstanding incident. Transmitted in feces , and oral and usually associated with the clean and healthy living , is acute . But if not immediately in treat may become chronic and gives rise to cirrhosis and then cancer hearts . Hepatitis is the type of inflammation of the liver cells. Which can be caused by infection (virus, bacteria, parasite), obat-obatan ( including traditional medicines ), Consumption of alcohol, excess fat. Information technology now this is growing rapidly , developments also many applied in the world health. Among other developed to diagnoisis disease hepatitis computer aided based . To the method diagnosis computer aided often utilized algoritme machine learning by using dataset patients clear of hepatitis. Dataset used in this research is uci machine learning repository. he purpose of this research is to know the influence of scrambling dataset hepatitis by using algoritme repeated incremental prunning to produce error reduction ( RIPPER) In imputation of missing values. Methods used in this research using RIPPER the accuracy of data gathered after scrambling to 71.50%.

Keyword :Hepatitis,missing values,randomization,RIPPER

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Ketersediaan

SI0681

SI 0681 YUL i 2015

UPT. PERPUSTAKAAN (Rak 2)

Tersedia

Informasi Detail

Judul Seri

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No. Panggil

SI 0681 YUL i

Penerbit

Purwokerto : Universitas Amikom Purwokerto., 2015

Deskripsi Fisik

xviii + 58 hlm.; 29 x 21 cm.

Bahasa

Indonesia

ISBN/ISSN

11.12.2132

Klasifikasi

SI 0681

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

2015

Subjek

-

Info Detail Spesifik

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Pernyataan Tanggungjawab

Yuliyanti

Versi lain/terkait

Lampiran Berkas

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