Wisaksono, Adheala Nathasya (2017) Pengelompokan Penderita Tuberkulosis dalam Rumah Tangga di Surabaya dengan Metode CART (Classification and Regression Trees) Bagging. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Tuberkulosis di Indonesia merupakan penyebab kematian
utama ketiga setelah penyakit jantung dan saluran pernafasan.
Angka kejadian tuberkulosis di Jawa Timur mencapai 44.086
kasus pada tahun 2015 dengan Surabaya sebagai daerah dengan
kasus tertinggi tuberkulosis di Jawa Timur. Setidaknya 10%
kasus tuberkulosis terjadi di Surabaya dengan 2.330 kasus BTA
Positif dan 2.409 kasus BTA Negatif. Tuberkulosis dikelompokkan
menjadi dua kategori berdasarkan hasil pemeriksaaan dahak
yaitu BTA Positif dan BTA Negatif di mana risiko penularan BTA
Positif lebih tinggi daripada risiko penularan BTA Negatif.
Metode yang sesuai dalam pengelompokan kasus tuberkulosis
adalah CART (Classification and Regression Trees) dan bagging
karena mampu menggambarkan karakteristik penderita BTA
Positif dan BTA Negatif dalam rumah tangga. Hasil penelitian ini
yaitu ketepatan klasifikasi analisis CART pada data testing
sebesar 76% dan penggunaan bagging tidak memberikan
peningkatan ketepatan klasifikasi. Sedangkan faktor-faktor yang
berpengaruh terhadap kejadian tuberkulosis adalah penghasilan
KRT per bulan, tempat pembuangan air limbah, tingkat
pendidikan KRT, sumber air bersih yang digunakan dan status
gizi.
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Tuberculosis in Indonesia is third main cause of death after
heart disease and respiratory disorder. In East Java, there were
44.086 cases of tuberculosis in 2015 while 10% of this cases
happened in Surabaya which made Surabaya as the biggest area
with tuberculosis in East Java. About 2.330 cases of BTA Positive
and 2.409 cases of BTA Negative happened in Surabaya by 2015.
Tuberculosis is classified into two different categories based on
the result of mucus inspection which is BTA Positive and BTA
Negative where the transmission risk of BTA Positive is bigger
than BTA Negative. The use of CART (Classification and
Regression Trees) and bagging is expected to be able to define
the characteristics of each category. The result of this research
are the accuracy of CART in data testing is 76% and the use of
bagging in CART doesn’t give the increase of the accuracy. While
the influential factors are income of the household’s head, the
disposal wastage place, education of the household’s head,
source of clean water and nutrition status.
| Item Type: | Thesis (Undergraduate) |
|---|---|
| Additional Information: | RSSt 519.536 Wis p |
| Uncontrolled Keywords: | Bagging, CART, ketepatan klasifikasi, tuberkulosis, Accuracy, bagging |
| Subjects: | Q Science > QA Mathematics > QA278.2 Regression Analysis. Logistic regression R Medicine > R Medicine (General) |
| Divisions: | Faculty of Mathematics and Science > Statistics > 49201-(S1) Undergraduate Thesis |
| Depositing User: | Adheala Nathasya Wisaksono |
| Date Deposited: | 14 Dec 2017 07:41 |
| Last Modified: | 05 Mar 2019 07:47 |
| URI: | http://repository.its.ac.id/id/eprint/47838 |
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