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All Journal Statistika Abdimas UNEJ e-Proceeding Indonesian Journal of Applied Statistics Jurnal Agribisnis Terpadu JUSTINDO (Jurnal Sistem dan Teknologi Informasi Indonesia) Jurnal Ilmiah Matematika dan Pendidikan Matematika (JMP) International Journal of Quantitative Research and Modeling
Dian Anggraeni
Fakultas Matematika Dan Ilmu Pengetahuan Alam (FMIPA),Universitas Jember
Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Engineering Environmental Science Industrial & Manufacturing Engineering Mathematics Physics Social Sciences

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Journal : Indonesian Journal of Applied Statistics

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Aplikasi Model Cox Proportional Hazard pada Pasien Stroke RSD Balung Kabupaten Jember Tutik Qomaria; Mohamad Fatekurohman; Dian Anggraeni
Indonesian Journal of Applied Statistics Vol 2, No 2 (2019)
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/ijas.v2i2.34907

Abstract

According to the World Health Organization (WHO) cardiovascular disease is a disease caused by impaired heart and blood vessel function. There are many types of cardiovascular disease, but the most common and most well-known are coronary heart disease and stroke. Stroke is a syndrome characterized by symptoms and / or rapidly developing clinical signs in the form of focal and global brain functional disorders lasting more than 24 hours (unless there are surgical interventions or bringing death), which are not caused by other causes besides vascular causes. The number of stroke patients in Indonesia in 2013 based on the diagnosis of health personnel (Nakes) was 1.236.825 (7,0%), while based on the diagnosis of symptoms was 2.137.941 (12,1%). In this study the factors that can affect the survival of stroke sufferers were analyzed using the Cox proportional hazard regression model, the dependent variable was the length of time the patient was treated and the independent variables were gender, age, hypertension status, cholesterol status, Diabetes Militus (DM) status, stroke type, and Body Mass Index (BMI). The result showed that age, DM status, and type of stroke were the most influential factors on the survival of stroke patients at Balung Regional Hospital.Keywords : stroke disease, survival analysis, Cox proportional hazard model
Perbandingan Model Cox Proportional Hazard dan Regresi Weibull untuk Menganalisis Ketahanan Bank Syariah Yusrillah Ihza Zianita Afni; Mohamad Fatekurohman; Dian Anggraeni
Indonesian Journal of Applied Statistics Vol 2, No 2 (2019)
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/ijas.v2i2.33082

Abstract

On July 1, 2014 Financial Services Authority (OJK) issued a new regulation number 8/PJOK.13/2014 concerning the health of general sharia banks that can be valued from several aspects including credit risk, liquidity risk, Return on Asset (ROA), Net of Margin (NOM) and Capital Adequacy Ratio (CAR). The purpose of this study is to compare the models of Cox proportional hazard and Weibull regression for the resistance of sharia bank in 2017-2018 for 24 data. The data were analyzed by describing each variable and modeling in each method. Comparison result shows that Weibull regression model is better than the Cox proportional hazard model because it has smaller AIC and MSE.Keywords : Sharia Bank, Survival Analysis, AIC, MSE
Co-Authors Abduh Riski Alfian Futuhul Hadi Dwi Putri Antika Kiswara Agung Santoso M Dika saputra M. Ziaul Arif Masruroh Masruroh Mohamad Fatekurohman Muhammad Iqbal Yunan Helmi Muharom, Lutfi Ali Mustapit Mustapit Nila Al Indiani Rollinda Mustikaning Cahyo Tutik Qomaria Yusrillah Ihza Zianita Afni