Indonesian Council of Premier Statistical Science

Indonesian Council of Premier Statistical Science (ICoPSS) established in 2022, publishes scientific papers in the area of statistical science and its applications with E-ISSN 3030-9956. The published papers should be research papers with, but not limited to, the following topics: experimental design and analysis, survey methods and analysis, operation research, data mining, statistical modeling, computational statistics, time series and econometrics, and statistics education.  All papers were reviewed by peer reviewers consisting of experts and academicians across universities and agencies.  Indonesian Council of Premier Statistical Science (ICoPSS) is a double-blind peer-reviewed international journal published by the Faculty of Science and Technology Universitas Islam Negeri Sultan Syarif Kasim Riau.


 

 

 

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Vol 4, No 2 (2025): August 2025

Table of Contents

Articles

Application of the Cox Proportional Hazard Model on Survival Data of Multiple Myeloma Patients Using the R Application
DOI : 10.24014/icopss.v4i2.37880 | Abstract views : 14 times
Achmad Riyan, Surya Nengsih
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45 - 50
Survival Analysis of Kidney Failure Patients Using Nelson-Aalen Cumulative Hazard Function Estimation and Log-Rank Test
DOI : 10.24014/icopss.v4i2.37876 | Abstract views : 14 times
Novita Dwi Safitri, Salwa Zahrotul Jannah
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51 - 57
Forecasting of Average Air Temperature in the City of Pekanbaru Using the Holt-Winters Method
DOI : 10.24014/icopss.v4i2.37868 | Abstract views : 17 times
Rado Yendra, Muhammad Marizal, Hilvania Ramadhani
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58 - 67
Application of the Cox Proportional Hazard Model with the Breslow Method in Inpatients with Type 2 Diabetes Mellitus at XYZ Hospital
DOI : 10.24014/icopss.v4i2.37878 | Abstract views : 25 times
Puteri Nuraisyah, Zahra Zakiyah
Survival Analysis of Pneumonia Patients Using Kaplan-Meier and Cox Proportional Hazard Regression
DOI : 10.24014/icopss.v4i2.37879 | Abstract views : 17 times
Aulia Azira Putri, Dian Desti Ananda
Analysis of the 2022 Shallot Price Grouping in the Areas of Arengka, Cikpuan, Incense, and Suka Ramai Using the Hierarchical Clustering Method
DOI : 10.24014/icopss.v4i2.37870 | Abstract views : 14 times
Muhammad Rizki Akbar, Muhammad Angga Piansyah Hasibuan, Restu Prasetyo