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INDONESIA
RAGAM: Journal of Statistics and Its Application
Published by Universitas Lambung Mangkurat
ISSN : -     EISSN : 29628539     DOI : https://doi.org/10.20527/ragam.vXXX
Core Subject : Economy, Humanities, Health, Science, Education,
Humanities Computer Science & IT Economics, Econometrics & Finance Mathematics Public Health
RAGAM Journal publishes scientific articles in the field of statistics and its applications, including: * Biostatistics * Parametric and nonparametric statistics * Quality control * Econometrics and business * Industrial statistics * Time series analysis * Spatial statistics * Data mining * Computational statistics * Applications of statistics in the medical, economic, social, environmental, industrial, technological, and other related fields
Arjuna Subject : Matematika - Statistik dan Probabilitas
Articles 52 Documents
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Analisis Regresi Panel terhadap Faktor-Faktor yang Mempengaruhi Tingkat Kemiskinan di Kalimantan Selatan Tahun 2018-2022 Irawan, Ade; Wati, Herlina; Salam, Nur; Asianingrum, Al Hujjah
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.
WILCOXON RANK-SUM HYPOTHESIS TESTING OF MILITARY BUDGETS AS A PERCENTAGE OF GROSS DOMESTIC PRODUCT AND GOVERNMENT SPENDING Susdarwono, Endro Tri; Wiranta, Alma
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.v4i2.17181

Abstract

This study aims to describe the policy of determining military budget size as a percentage of Gross Domestic Product (GDP) and government spending in countries in Asia, Oceania, and Africa. The approach used in this study is descriptive quantitative. The data used are national defense allocations published by SIPRI. Data analysis used a hypothesis test with a Wilcoxon rank sum. This study concluded that for hypothesis testing with a Wilcoxon rank sum and using the same sample size and no more than 20 samples, the policy of determining military budget size as a percentage of Gross Domestic Product (GDP) in Asian and African countries differs. For testing with a different sample size and no more than 20 samples, the policy of determining military budget size as a percentage of Gross Domestic Product (GDP) in Asian and African countries is the same. Based on hypothesis testing with a Wilcoxon rank sum and using a sample size greater than 20 samples, the policy of determining military budget size as a percentage of government spending in Asian, Oceania, and African countries differs.

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