| Issue |
E3S Web Conf.
Volume 468, 2023
ICST UGM 2023 - The 4th Geoscience and Environmental Management Symposium
|
|
|---|---|---|
| Article Number | 06007 | |
| Number of page(s) | 3 | |
| Section | Human and Natural Resources | |
| DOI | https://doi.org/10.1051/e3sconf/202346806007 | |
| Published online | 21 December 2023 | |
Development of official statistics models for analysis of population sectoral data in Indragiri Hilir Regency
Doctoral Program of Population Study, Postgraduate School of Gadjah Mada University, Yogyakarta
* Corresponding author: jakamar@ugm.ac.id
Indragiri Hilir Regency is one of the regencies located in Riau Province which has a population of 658,025 thousand in 2022. The population consists of several groups ranging from children, adolescents, adults and the elderly. Indragiri Hilir Regency has three regional public hospitals, namely the Puri Husada Tembilahan Hospital, the Tenku Sulung Pulau Kijang Hospital, and the Raja Musa Sungai Guntung Hospital. Each hospital has official statistics consisting of sectoral data according to the data owned by the hospital. This study aims to show and analyze the existing official statistics and create an official statistics model for analysis of population sectoral data in health analysis. The method used is explanatory method and descriptive statistical analysis method and descriptive statistical analysis. The results of this study show that every regional public hospital in Indragiri Hilir Regency has official statistics which consist of sectoral data owned by the agency, the official statistics model is the answer to become a reference in carrying out sectoral data analysis for policy making in the field of analysis health.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.