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All Journal BAREKENG: Jurnal Ilmu Matematika dan Terapan Journal of Statistics and Data Science
Fajariyanto, Eko
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Energy Engineering Mathematics Mechanical Engineering Physics Transportation Other

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LEE-CARTER MODELING FOR MORTALITY IN INDONESIA WITH A BAYESIAN APPROACH Fajar, Muhammad; Fajariyanto, Eko
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 16 No 4 (2022): BAREKENG: Journal of Mathematics and Its Applications
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (393.899 KB) | DOI: 10.30598/barekengvol16iss4pp1241-1248

Abstract

This study aims to model Lee-Carter mortality with a Bayesian approach, where the parameters in the model are assumed to be random variables. The data used in this study is data on mortality rates by age group from the period 1950–2015. The sourced of data was from the UN website. Age groups are categorized by age 0 years, 1-5 years, 6-10 years, 11-15 years, ..., 86-90 years. The results of this study are from Bayes estimation obtained information that the average infant mortality rate (population aged less than one year) is high, then at the age of toddlers (1-4 years) average mortality rate decreases. Furthermore, the average mortality rate for children, adolescents, young and older people has increased again. Meanwhile, the relative speed of the pattern of changes in mortality at infant age (less than one year) is high enough. At the age of toddlers (1 – 4 years), the pattern of changes in mortality has increased. Then, in the population of the next age group until the older age group, the mortality continues to decrease. The pattern of changes in mortality is lowest in the elderly population.
Analysis of Effective Policy Strategies to Address Multidimensional Stunting Using the Biplot Method in Bengkulu Province Regina Adelisa; Vivi Elvira Sahputri Syah; Gihon Nakata Silaen; Firdaus; Fahrulriza, Teuku; Fajariyanto, Eko; Pratama, Novrian
Journal of Statistics and Data Science Vol. 4 No. 2 (2025)
Publisher : UNIB Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/jsds.v4i2.45684

Abstract

This study aims to analyze the factors contributing to stunting in Bengkulu Province. The method used is biplot analysis, by reducing the Principal Component Analysis (PCA) dimensions into two components. A quantitative approach was employed, involving ten variables representing health, nutrition, education, housing, food security, and social protection factors. The results indicate that Bengkulu City has characteristics that are significantly different from other regencies. The key contributing factors include limited access to basic health services (particularly the availability of skilled birth attendants and immunization coverage), high levels of food insecurity, low access to proper sanitation and safe drinking water, limited practice of exclusive breastfeeding, and low utilization of government assistance programs such as BPJS Kesehatan (National Health Insurance) and KPS/KKS (Social Welfare Cards). It is expected that the findings of this study can provide valuable insights and contribute to efforts in reducing the prevalence of stunting in Bengkulu Province.
Co-Authors Fahrulriza, Teuku Firdaus Gihon Nakata Silaen Muhammad Fajar Pratama, Novrian Regina Adelisa Vivi Elvira Sahputri Syah