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INDONESIA
PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON DATA SCIENCE AND OFFICIAL STATISTICS
ISSN : 28099842     EISSN : -     DOI : -
Core Subject : Science,
International Conference on Data Science and Official Statistics International Conference on Data Science and Official Statistics (ICDSOS) 2023 is organized by Politeknik Statistika STIS and Statistics Indonesia (BPS). This international conference in collaboration with Forum Pendidikan Tinggi Statistika (FORSTAT), Ikatan Statistisi Indonesia (ISI), United Nations Economic and Social Commission for Asia and the Pacific (UNESCAP), and United Nations Statistics Division (UNSD). The ICDSOS will bring together statisticians and data scientists from academia, official statistics, health sector and business, junior and senior professionals, in an inviting hybrid environment on November 24th - 25th, 2023. Dealing with the theme of this conference is Harnessing Innovation in Data Science and Official Statistics to Address Global Challenges towards the Sustainable Development Goals. DATA SCIENCE Machine Learning and Deep Learning Data Science and Artificial Intelligence (AI) Data Mining and Big Data Statistical Software Information System Development for Official Statistics Remote Sensing to Strengthen Official Statistics Other data science relevant topic APPLIED STATISTICS Applied Multivariate Analysis Applied Time Series Analysis Applied Spatial Statistics Applied Bayesian Statistics Microeconomics Modelling and Applications Macroeconomics Modelling and Applications Econometrics Modelling and Applications Quantitative Public Policy and Statistical Analysis Applied Statistics on Demography Applied Statistics on Population Studies Applied Statistics on Biostatistics and Public health Other applied statistics relevant topic OFFICIAL STATISTICS Official Statistics Survey Methodology Developments Data Collection Improvements Sustainable Development Goals (SDGs) Indicators Estimation Small Area Estimation (SAE) Non Response and Imputation Methods Sampling Error and Non Sampling Error Evaluation Benchmarking Regional Official Statistics Other official statistics relevant topic
Arjuna Subject : Umum - Umum
Articles 251 Documents
Analysis of the Determinants of Poverty Among the Productive-Age Population in Rokan Hilir Regency Surya, Rafqi Ardiansyah
Proceedings of The International Conference on Data Science and Official Statistics Vol. 2025 No. 1 (2025): Proceedings of 2025 International Conference on Data Science and Official St
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/icdsos.v2025i1.742

Abstract

Poverty is a condition in which individuals are unable to meet a decent standard of living, and it remains a major development issue in many regions. Efforts to reduce poverty are often difficult to achieve if inappropriate approaches are applied. Therefore, optimizing the potential of the population, particularly those in the productive age group, is a key strategy in poverty alleviation. This study aims to analyze the effects of education level, employment status, savings ownership, mobile phone ownership, and health complaints on the poverty level of the productive-age population in Rokan Hilir Regency in 2024. The method employed is binary logistic regression. The findings reveal that employment status and health complaints have a significant influence on poverty. Individuals who work in non-casual employment are less likely to experience poverty compared to casual workers. In addition, productive-age individuals without health complaints are also less likely to fall into poverty. Based on these findings, it is recommended that the local government increase the creation of formal job opportunities and strengthen public health services, particularly for the productive-age population. Such policies are expected to sustainably reduce poverty rates in Rokan Hilir Regency.