Unisda Journal of Mathematics and Computer Science (UJMC)
Vol 6 No 2 (2020): Unisda Journal of Mathematics and Computer science

Pemodelan Regresi Cox Proportional Hazard Pada Data Perceraian

Haykal Abidin (Universitas Islam Darul 'Ulum Lamongan)
Novita Eka Chandra (Universitas Islam Darul 'Ulum Lamongan)
Mohammad Syaiful Pradana (Universitas Islam Darul 'Ulum Lamongan)



Article Info

Publish Date
30 Dec 2020

Abstract

The purpose of this research is modeling the Cox proportional hazard regression form on divorce data in Pelaihari sub-district, Tanah Laut district, South Kalimantan province. The source of the data comes from the Court Decision in Pelaihari District, Tanah Laut Regency, South Kalimantan. The data analysis technique uses software R with the steps, namely data description, Log-Rank test, checking proportional hazard assumptions, Cox regression model parameter estimation, backward selection with AIC, the best model parameter significance test, calculating Hazard ratio and interpretation of each predictor variable. Based on the results of the analysis and discussion, it was found that for the Log-Rank test, the variable survival time for domestic violence, forced marriage, lying and stories of disgrace differed significantly. While the model that meets the criteria after iteration up to 15 times is the 15th model with the smallest AIC value and p-value <0.05 with factors that significantly influence divorce in Pelaihari sub-district based on modeling results using Cox proportional Hazard regression. are the variables of cheating, gambling, domestic violence, forced marriage, lies, jealousy and disgrace story variables

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Journal Info

Abbrev

ujmc

Publisher

Subject

Computer Science & IT Education Mathematics

Description

Unisda Journal of Mathematics and Computational Science (UJMC) is a research journal published by Mathematics Department of Mathematics and Natural Sciences Unisda Lamongan with the scope of pure mathematics, applied science, education, ...