Population Policy in the Grand Design of Population Development (GDPK) in the Arrangement of Population Statistics Data with Demographic Indicators (Fertility, Mortality, and Migration)
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Achmad Isya Alfassa, Fajarwaty Kusumawardhani, Endy Sudeska

Population Policy in the Grand Design of Population Development (GDPK) in the Arrangement of Population Statistics Data with Demographic Indicators (Fertility, Mortality, and Migration)

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Introduction

Population policy in the grand design of population development (gdpk) in the arrangement of population statistics data with demographic indicators (fertility, mortality, and migration). Population policy in GDPK depends on demographic statistics (fertility, mortality, migration). Learn how valid data drives effective policy-making for community welfare.

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Abstract

Population policy is a step that can help achieve population goals that can support the economy, social, and other demographic indicators to provide welfare to the community. Population policy can be divided into two, namely (1) policies that affect population variables, (2) policies that respond to changes in the population sector. This study is a qualitative study with a literature study approach by observing several previous studies and several regulations related to population policy and in the Grand Design of Population Development, especially in the arrangement of Population Statistics Data. Researchers use secondary data where secondary data is data that is already available in documentation or publications, either in the form of news, articles, and scientific works collected by researchers to be studied by observation. This study explains that the Grand Design of Population Development (GDPK) is very important in supporting the implementation of decision making, especially in the field of population policy. One of the most important sectors that supports GDPK is the role of statistical data, especially in sectoral statistical data owned by regional apparatus organizations. In supporting population policies, sectoral statistical data is needed in the fields of fertility, mortality, and migration. These three fields are demographic indicators used to design a population policy to improve the welfare of the population which is designed based on valid and correct data.


Review

This paper effectively articulates the crucial role of population policy within the broader framework of the Grand Design of Population Development (GDPK), emphasizing its contribution to welfare, economic, and social goals. The core argument centers on the necessity of robust population statistics data, specifically concerning demographic indicators like fertility, mortality, and migration, to inform and design effective population policies. By positioning GDPK as an essential support system for decision-making in this domain, the study highlights the foundational link between strategic national planning and the granular details of demographic measurement. The methodology employed is a qualitative literature study, drawing exclusively on secondary data from previous research, relevant regulations, news articles, and scientific publications. While this approach is suitable for synthesizing existing knowledge and policy perspectives, the abstract provides limited detail on the specific analytical framework used to "observe" and integrate these diverse sources. A more explicit discussion of how these various forms of documentation and publications are systematically evaluated and synthesized to support the study's claims would enhance the methodological transparency and rigor. The reliance solely on secondary data, though common for literature reviews, means the findings are interpretive rather than based on new empirical observations. Ultimately, the study convincingly argues that the successful implementation of population policies hinges significantly on the availability and utilization of valid and correct statistical data, particularly sectoral data from regional organizations. The identified demographic indicators (fertility, mortality, migration) are rightly presented as critical inputs for designing welfare-improving policies. For a more comprehensive study, a deeper exploration into the practical challenges of data collection, standardization, or utilization within GDPK at regional levels would be invaluable, potentially offering more concrete actionable insights for policymakers looking to strengthen the evidence base for population development.


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