Analisis Faktor-Faktor Yang Mempengaruhi Stadium Kanker Payudara Menggunakan Regresi Logistik Ordinal

Senira, Jessica (2020) Analisis Faktor-Faktor Yang Mempengaruhi Stadium Kanker Payudara Menggunakan Regresi Logistik Ordinal. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Kanker merupakan penyakit yang menjadi salah satu penyebab kematian utama di dunia. Lebih dari 80% kasus kanker payudara di Indonesia ditemukan pada stadium lanjut. Faktor risiko merupakan faktor yang diduga erat kaitannya dengan peningkatan insiden kanker payudara. Penyakit kanker payudara memiliki beberapa tingkatan stadium yakni stadium I, II, III, dan IV. Oleh sebab itu, analisis regresi logistik ordinal digunakan pada penelitian ini untuk mengetahui hubungan antara variabel respon yaitu tingkat stadium kanker payudara dengan variabel prediktornya. Analisis regresi logistik ordinal pada penelitian ini dilakukan secara individu terlebih dahulu terhadap setiap variabel prediktor untuk mendapatkan faktor-faktor yang berpengaruh signifikan terhadap model, setelah itu dilakukan pemodelan regresi logistik ordinal secara serentak. Berdasarkan data rekam medis dari 294 pasien penderita kanker payudara di RS Onkologi Surabaya sebanyak 44% pasien yang terdaftar pada periode 2011-2019 menderita kanker payudara stadium II. Hasil penelitian menggunakan metode regresi logistik ordinal menunjukkan bahwa faktor yang berpengaruh signifikan terhadap stadium kanker payudara adalah usia (OR: 0,984), status reseptor HER2 (OR: 0,636) dan lama menderita (OR: 0,876) pada taraf signifikansi 10%. ========================================================= Cancer is a disease that is one of the leading causes of death in the world. More than 80% of breast cancer cases in Indonesia are found at an advanced stage. Risk factors are factors that are thought to be closely related to an increased incidence of breast cancer. Breast cancer has several stages, namely stages I, II, III, and IV. Therefore, ordinal logistic regression analysis was used in this study to determine the relationship between response variables namely the stage of breast cancer with its predictor variables. Ordinal logistic regression analysis in this study was carried out individually on each of the predictor variables to get the factors that significantly influence the model, after which simultaneous logistic regression modeling was performed. Based on medical records from 294 patients with breast cancer in Surabaya Oncology Hospital, 44% of patients registered in the 2011-2019 period suffered from stage II breast cancer. The results of the study using the ordinal logistic regression method showed that the factors that had a significant effect on the stage of breast cancer were age (OR: 0,984), HER2 receptor status (OR: 0,636) and duration of suffering (OR: 0,876) at a significance level of 10%.

Item Type: Thesis (Undergraduate)
Uncontrolled Keywords: Breast Cancer, Ordinal Logistic Regression, Stage, Kanker Payudara, Regresi Logistik Ordinal, Stadium
Subjects: Q Science > QA Mathematics > QA278.2 Regression Analysis
Divisions: Faculty of Science and Data Analytics (SCIENTICS) > Statistics > 49201-(S1) Undergraduate Thesis
Depositing User: Jessica Senira
Date Deposited: 25 Aug 2020 03:07
Last Modified: 25 Aug 2020 03:08
URI: https://repository.its.ac.id/id/eprint/80998

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