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All Journal Indonesian Council of Premier Statistical Science
Rado Yendra
Rado Institute Statistics Online
Computer Science & IT Economics, Econometrics & Finance Mathematics Public Health Social Sciences

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New Opportunity Model Using a Mix of 7 and 8 Gamma Chance Density Functions Rado Yendra
Indonesian Council of Premier Statistical Science Vol. 5 No. 1 (2026): February 2026
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/icopss.v5i1.39109

Abstract

This research is based on the limitations of classic distributions such as the Normal, Exponential, and Weibull in modeling real-world data with skewness, heavy tails, multimodality, or hazard rate structures, and thus it is necessary to develop a new, more flexible opportunity model. The main objective of this study is to develop a new probability model with a single parameter using a mixed-method approach that specifically employs the 7- and 8 Gamma chance density functions. The research methodology includes the reduction of important characteristics such as the cumulative distribution function, survival function, and hazard function, as well as the use of the Maximum Likelihood method with Newton–Raphson numerical iteration for parameter estimation. The results of this study are expected to prove that the single-parameter 7 and 8 Gamma mixed models have superior performance compared to the previously existing single-parameter models. The contributions of this research include theoretical development in statistical science and the provision of efficient, parsimonious alternative models for application in fields such as biostatistics, finance, and reliability analysis
Management the Potential Data on Web Site For Communicating Research In Social and environment Issues Rado Yendra
Indonesian Council of Premier Statistical Science Vol. 4 No. 1 (2025): February 2025
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/icopss.v4i1.35853

Abstract

This paper focus on Management the Potential Data On Web Site For Communicating Research In Social and Environment Field with a special focus to produce some research on education and climate issue. It discusses the potentials and challenges of Internet data for social and environmet and presents a selection of the relevant literature to establish the wide spectrum of topics, which can be reached. Such data represent a large and increasing part of everyday life, which cannot be measured otherwise. They are timely, perhaps even daily following the factual process, they typically involve large numbers of observations, and they allow for flexible conceptual forms and experimental settings. In this paper, the data from website be managed to produce some academic article. Internet data can successfully be applied to a very wide range of climate issues including forecasting (e.g. of rainfall, wind speed, and the like)  and detecting education issues  (e.g. spatial analysis for relation a number of male and female students and test score mathematic and foreign lenguages subjects) ,Our article reviews the current attempts in the literature to incorporate Internet data into the mainstream of scholarly empirical research and guides the reader through this Special Issue. We provide some insights and a brief overview of the current state of research.
Forecasting of Average Air Temperature in the City of Pekanbaru Using the Holt-Winters Method Rado Yendra; Muhammad Marizal; Hilvania Ramadhani
Indonesian Council of Premier Statistical Science Vol. 4 No. 2 (2025): August 2025
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/icopss.v4i2.37868

Abstract

Global climate change causes significant fluctuations in air temperature, including in the city of Pekanbaru, therefore, a predictive system is needed that can help the government and the community in dealing with climate impacts, one of which is through air temperature forecasting. This study aims to forecast the average air temperature in Pekanbaru City using the Holt-Winters Exponential Smoothing method, which is known to be effective in capturing seasonal patterns and trends. The data used is monthly average air temperature data from 2017 to 2024 obtained from BMKG. The analysis was carried out using an addictive approach and model evaluation was carried out based on the Mean Absolute Percentage Error (MAPE) value. The results show that the best model is obtained on a parameter with a MAPE value of 2.684. This model is then used to forecast the air temperature in 2025, which is predicted to decrease gradually. The results of this forecast are expected to be a reference in planning and decision-making related to climate change mitigation in the Pekanbaru area
Co-Authors Hilvania Ramadhani M Marizal