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All Journal Epsilon: Jurnal Matematika Murni dan Terapan RAGAM: Journal of Statistics and Its Application
Al Hujjah Asianingrum
Universitas Lambung Mangkurat
Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Mathematics Public Health Transportation

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MODEL SURVIVAL HIDUP PASIEN KANKER MATA MENGGUNAKAN METODE KAPLAN-MEIER DAN REGRESI COX PROPORTIONAL HAZARD Deyana Maulidya Rahmawan; Delia Nur Haliza; Samsul Arifin; Al Hujjah Asianingrum
EPSILON: JURNAL MATEMATIKA MURNI DAN TERAPAN Vol 20, No 1 (2026)
Publisher : Mathematics Study Program, Faculty of Mathematics and Natural Sciences, Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/epsilon.v20i1.18032

Abstract

Eye cancer is a relatively rare disease, but it can cause permanent vision impairment and even death if not treated properly. Differences in cancer type and patients’ clinical conditions are suspected to play a role in determining survival, so survival analysis is needed to describe survival patterns and identify factors affecting the risk of death. This study aims to analyze the survival of eye cancer patients and identify clinical factors influencing mortality risk using the Kaplan–Meier method and Cox Proportional Hazard regression. The research data were obtained from the Eye Cancer Patient Records dataset on the Kaggle platform, consisting of 5,000 medical records of eye cancer patients. Of these, 350 observations were used for Kaplan–Meier curve visualization so that survival patterns between groups could be more easily interpreted, while the Cox regression analysis was conducted using the prepared research data according to the modeling requirements. The results showed that cancer type was the only factor that significantly affected the risk of death. Patients with intraocular lymphoma had a hazard ratio of 1.54, meaning they had a 1.54 times higher risk of death compared to patients with retinoblastoma. Meanwhile, other variables such as gender, stage at first diagnosis, treatment type, surgery status, radiation therapy, and chemotherapy did not show a significant effect. Overall, these findings indicate that cancer type is the most prominent factor distinguishing survival between the two eye cancer groups analyzed.
ANALISIS REGRESI PANEL TERHADAP FAKTOR-FAKTOR YANG MEMPENGARUHI TINGKAT KEMISKINAN DI KALIMANTAN SELATAN TAHUN 2018-2022 Ade Irawan; Herlina Wati; Nur Salam; Al Hujjah Asianingrum
RAGAM: Journal of Statistics & Its Application Vol 4, No 2 (2025): RAGAM: Journal of Statistics & Its Application
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/ragam.v4i2.15871

Abstract

This study aims to analyze the effects of population growth rate, Human Development Index (HDI), and per capita expenditure on poverty levels in 13 regencies/cities of South Kalimantan Province during the period 2018–2022. The study uses secondary data obtained from the Central Bureau of Statistics and applies panel data regression using the Common Effect Model (CEM), Fixed Effect Model (FEM), and Random Effect Model (REM). Model selection was conducted using the Chow test, Breusch–Pagan Lagrange Multiplier test, and Hausman test, as well as considering variable significance and model explanatory power. The results indicate that the Fixed Effect Model with time effects (FEM-time) is the most appropriate model. Initial estimation results show that population growth rate and per capita expenditure have significant negative effects on poverty, while HDI has a significant positive effect. However, after applying robust standard errors to address autocorrelation and heteroskedasticity, only per capita expenditure remains statistically significant. These findings suggest that improvements in household purchasing power play a central role in reducing poverty in South Kalimantan, while the impacts of demographic and human development factors tend to vary over time. This study is expected to provide empirical evidence to support more adaptive and region-specific poverty alleviation policies.
Co-Authors Ade Irawan Arifin, Samsul Delia Nur Haliza Deyana Maulidya Rahmawan Herlina Wati Nur Salam