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ITS » Undergraduate Theses » Statistika Ekstensi - S1
Posted by ansi@its.ac.id at 14/01/2011 13:51:57  •  4215 Views


FAKTOR-FAKTOR YANG MEMPENGARUHI RESIKO PENYEBAB PENDERITA KANKER PAYUDARA DENGAN MENGGUNAKAN PENDEKATAN REGRESI LOGISTIK

FACTORS INFLUENCING RISK CAUSE OF PATIENT OF CANCER BOSOM BY USING APPROACH OF REGRESI LOGISTICS

Author :
PURWANTAKA, RICKI INDRA ( 1303109030 )




ABSTRAK

Salah satu penyakit yang banyak menimbulkan kesengsaraan dan kematian pada manusia sebagian besar adalah kanker. Yang disebut dengan kanker payudara Carcinoma mammae adalah suatu penyakit neoplasma ganas yang merupakan suatu pertumbuhan jaringan payudara abnormal yang berbeda dengan jaringan disekitarnya. Penyebab yang pasti dari kanker payudara belum diketahui namun riset mengidentifikasikan sejumlah faktor yang dicurigai penyebab dari timbulnya kanker disebabkan oleh beberapa faktor antara lain riwayat keluarga dan faktor genetik radiasi faktor reproduksi serta konsumsi lemak. Oleh karena itu penting bagi setiap wanita untuk melakukan deteksi secara dini terhadap kanker payudara. Dunia kedokteran belum dapat menemukan cara untuk mencegah timbulnya kanker payudara. Mereka berpendapat bahwa banyak nyawa dapat diselamatkan jika ada cara efektif untuk deteksi dini kanker payudara. Dari berbagai kesulitan di atas harapan dari penelitian ini adalah mensimulasikan penderita kanker payudara sehingga bisa diketahui karakteristik penderita kanker payudara. Analisis regresi logistik digunakan untuk analisis data respon kategorik nominal ordinal dengan variabel-variabel bebas kontinu dan kategorik. Perbedaan nilai probabilitas pada setiap kelas akan menghasilkan nilai odds rasio. Nilai odds rasio dapat menginformasikan besarnya pengaruh salah satu variabel bebas terhadap terjadinya perubahan kelas. Dalam penelitian ini adalah penderita dan non penderita kanker payudara. Dari penelitian sebelumya dengan menggunakan metode MARS didapat ketepatan klasifikasi sebesar 79 Yuanita 2008 sedangkan dengan menggunakan metode regresi logistik menghasilkan ketepatan klasifikasi sebesar 58.


ABSTRACT

One of the disease which generating many death and misery at human being most is cancer. So Called with bosom cancer Mammae Carcinoma is disease of ferocious neoplasma which represent growth of different abnormal bosom network with network aboutaround him. Definitive cause of bosom cancer not yet been known but research into to identify a number of factor suspected by cause from incidence of cancer because of some factor for example family history and factor of genetik radiasi factor reproduce and also consume fat. Therefore the necessary for eachevery woman to detect early to bosom cancer. Doctor world not yet earned to find the way of to prevent incidence of bosom cancer. They have a notion that many soul can be saved by if there is a way of effective to detect early bosom cancer. Of difficulties above expectation of this research is to simulation patient of bosom cancer so that can know by characteristic patient of bosom cancer. Analyse logistics regresi used for the analysis of data of respon kategorik nominal ordinal with free variables of and kontinu of kategorik. Difference of probability value in each class will yield value of odds ratio. Assess ratio odds can inform the level of influence one of the free variable to the happening of change of class. In this research is patient and non patient of bosom cancer. Of research of sebelumya by using method of MARS got by accuracy of classification equal to 79 Yuanita 2008 while by using method of regresi logistics yield accuracy of classification equal to 58.



KeywordsKanker payudara; Regresi Logistik; klasifikasi.
 
Subject:  Analisis regresi
Contributor
  1. Dra. Maduratna, MS
Date Create: 22/07/2010
Type: Text
Format: pdf
Language: Indonesian
Identifier: ITS-Undergraduate-3100010040140
Collection ID: 3100010040140
Call Number: RSSt 519.536 Pur f


Source
Undergraduate Thesis, Statistics RSSt 519.536 Pur f,, 2011

Coverage
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Rights
Copyright @2010 by ITS Library. This publication is protected by copyright and per obtained from the ITS Library prior to any prohibited reproduction, storage in a re transmission in any form or by any means, electronic, mechanical, photocopying, reco For information regarding permission(s), write to ITS Library




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  1.  ITS-Undergraduate-13440-Abstract_id.pdf - 86 KB
  2.  ITS-Undergraduate-13440-Abstract_en.pdf - 88 KB
  3.  ITS-Undergraduate-13440-Conclusion.pdf - 98 KB
  4.  ITS-Undergraduate-13440-Paper.pdf - 287 KB




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