Fatekurohman, Mohamat
Faculty of Nursing, University of Jember

Published : 3 Documents
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The Effect of Hemodialysis on Kinetic Segment of Left Ventricular in Stage V Chronic Kidney Diseases Patients Kamasita, Systriana Esi; Suryono, Suryono; Nurdian, Yudha; Hermansyah, Yuli; Junaidi, Edy; Fatekurohman, Mohamat
NurseLine Journal Vol 3 No 1 (2018): Mei 2018
Publisher : Faculty of Nursing, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/nlj.v3i1.6506

Abstract

Chronic kidney disease (CKD) stage V attacks other organs such as heart that can cause cardiovascular disease (CVD). One of them is CVD caused by CKD stage V that is the kinetic segment of left ventricle. Cardiovascular disease occurs due to excess fluid and buildup of uremic toxin. Chronic kidney disease stage V can not be cured so it requires therapy that is hemodialysis (HD). Hemodialysis can reduce excess fluid, uremic toxin, and maintain electrolyte balance in stage V stage. Improved fluid and decreased uremic toxin can reduce the burden of the heart and strain so that blood supply to certain myocardial areas increases and the left ventricular kinetic segment increases. The purpose of this study is to determine the effect of HD on left ventricular kinetic changes in CKD stage V patients in dr. Soebandi hospital in Jember. The research design used was quasi-experimental one group pretest-postest design. The sample was 30 patients. Respondents were determined by nonprobability sampling technique with purposive sampling method. The data used are primary data and secondary data. Data analysis using Wilcoxon test. Based on the results of the study, the distribution of the sample based on the age of the most in the range of 45-54 years, based on the sex obtained more women, based on the duration of hemodialysis obtained the period of most hemodialysis> 24 months and based on blood pressure before and after hemodialysis obtained patients with hypertension. Hypothesis test using Wilcoxon test got p-value (0.000). From the results of the analysis can be concluded that there is influence of hemodialysis on kinetic segment of left ventricle in patient of CKD stage V in dr. Soebandi hospital in Jember.   
Analisis Premi Asuransi Jiwa Menggunakan Model Cox Proportional Hazard Fajarini, Firda Anisa; Fatekurohman, Mohamat
Indonesian Journal of Applied Statistics Vol 1, No 2 (2018)
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/ijas.v1i2.25280

Abstract

Cox proportional hazard model is a regression model that is used to see the factors that cause an event. The survival analysis used in this research is the period of time the client is able to pay the life insurance premium using Cox proportional hazard model with Breslow method.The purpose of this research is to know how sex, age, insured money, job, method of payment of premium, premium, and type of product can influence the level of ability of client to make payment of life insurance premium based on customer data from PT. BRI Life Insurance Branch of Jember in 2007.The result of this research is the final model of Cox proportional hazard obtained from several variables which have significant influence with simultaneous and partial significance test is the variable of insured money (X3), variable of payment method of premium (X5), premium variable (X6) , and insurance product variable (X7) . The four variables are said to have a significant effect on the model, so that the final model of Cox proportional hazard is obtained that consists of the parameter estimation (β) value of each variable Keywords : survival analysis; cox proportional hazard model; breslow method; life insurance.
Analisis Ketahanan Hidup Pasien Kanker Paru Menggunakan Regresi Weibull Solehah, Arivatus; Fatekurohman, Mohamat
Indonesian Journal of Applied Statistics Vol 1, No 2 (2018)
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/ijas.v1i2.25276

Abstract

Lung cancer is one of the diseases which difficult to detect because of uneasy symptoms detection till it develops being the risky one. But, if the disease has been found, it can spread fast and cause death. According to the data of WHO, the type of cancer which causes the most of death is lung cancer which reaches 1,3 milion death per year. Therefore, a survival analysis will be conducted to determine factors that affect the survival of lung cancer patient by using Weibull regression. The result shows some factors that significantly influence the survival of lung cancer patient are gender, erythrocyte, and general condition. Keywords : lung cancer; survival analysis; Weibull regression