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All Journal CAUCHY: Jurnal Matematika Murni dan Aplikasi Devotion: Journal of Research and Community Service
Mutiah Salamah
Jurusan Statistika Institut Teknologi Sepuluh Nopember
Mathematics

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Identifikasi Struktur Dependensi dengan Copula (Aplikasi pada Data Klimatologi) Salamah, Mutiah
CAUCHY Vol 1, No 2 (2010): CAUCHY
Publisher : Mathematics Department, Maulana Malik Ibrahim State Islamic University of Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (921.205 KB) | DOI: 10.18860/ca.v1i2.1704

Abstract

Paper ini mendiskusikan peranan copula dalam memodelkan struktur dependensi antara dua variabel iklim, yaitu kecepatan angin dan rata-rata tekanan udara permukaan laut. Kedua variabel iklim tersebut mempunyai distribusi marginal yang berbeda yang mana kecepatan angin tidak berdistribusi normaldengan kecenderungan heavy-tailed, sedangkan tekanan laut berdistribusi normal. Oleh karena itu dependensi keduanya tidak bisa diwakili dengan menggunakan korelasi Pearson. Masalah ini bisa diatasi dengan copula. Hasil analisis menunjukkan bahwa copula-t adalah model terbaik untuk menjelaskan struktur dependensi ataran kedua variabel yang dibahas.
The Analysis of Factors Affecting Stage Level of Breast Cancer Patients at RSUD DR. SOETOMO Surabaya Susilaningrum, Destri; Azizah, Nur; Salamah, Mutiah; Ratna D, Mukti
Devotion : Journal of Community Service Vol. 3 No. 3 (2022): Devotion : Journal of Community Service
Publisher : Green Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36418/dev.v3i3.102

Abstract

Breast cancer is the cancer with the largest number in the world, and ranks as the fifth largest cause of death, which is 6.9% of the total 9,958,133 million cases of cancer deaths. Breast cancer is one of the main killers of women in the world and in Indonesia. Breast and cervical cancer dominate cancer cases in East Java. Throughout 2019, RSUD Dr. Soetomo Surabaya received 167,000 cancer patients, and the highest case was breast cancer. The high number of breast cancer sufferers makes this disease requires special attention. The cancer staging or staging system is based on whether the cancer has spread from the breast to other parts of the body. Cancer stage is divided into two categories, namely early stage (stages 0 to III A) and late stage (stages III B to IV). This study will examine the factors that affect the level of cancer stage in breast cancer patients at RSUD Dr. Soetomo Surabaya in 2019. Using the binary logistic regression analysis method, it was found that the factors that significantly influence the stage of breast cancer are Grade and Obesity with a classification correctness level of 82.5%.
Co-Authors Destri Susilaningrum I Gusti Agung Komang Diafari Djuni Hartawan Ratna D, Mukti