Achmad Isya Alfassa

Statistika Kependudukan Untuk Rencana Kebijakan Kependudukan Daerah

Introduction

Statistika kependudukan untuk rencana kebijakan kependudukan daerah. Pelajari Statistika Kependudukan untuk perumusan rencana kebijakan kependudukan daerah. Analisis statistik demografi Indragiri Hilir membantu membuat keputusan kebijakan populasi yang efektif.

Abstract

Population statistics is a science that studies two branches of science, namely statistics and population science. These two branches of science are integrated in population statistics to help solve population problems through statistical analysis and are used as recommendations in making regional population policy decisions. This study uses secondary data from the publications of Indragiri Hilir Regency in numbers and aims to provide an understanding of population statistics in terms of terminology and philosophy of science and can be used in the preparation of regional population policy plans. The results of this study explain that the terminology of population statistics consists of fertility, mortality, and migration, while the philosophy of population statistics consists of axiology, ontology, and epistemology. In the preparation of the regional population policy plan with the demographic concept, there are 5 groups of population policy plans, including the Fertility Group, School Productive Age Group, Work Productive Age Group, Retirement Age Group, and Elderly Age Group.   Key words: Statistics Population, Indragiri Hilir Regency, Statistics, Population, Demography, Population Policy.

Review

The paper, titled "Statistika Kependudukan Untuk Rencana Kebijakan Kependudukan Daerah," presents an investigation into the application of population statistics for regional policy planning, specifically focusing on Indragiri Hilir Regency. The authors aim to elucidate the terminology and philosophical underpinnings of population statistics and demonstrate its utility in developing regional population policy plans. This study appears to bridge theoretical understanding with practical policy formulation, offering a foundational framework for local government planning by integrating statistical analysis with population science to address regional demographic challenges. Utilizing secondary data derived from official publications of Indragiri Hilir Regency, the study outlines key components of population statistics. The findings articulate that the terminology encompasses core demographic aspects such as fertility, mortality, and migration, while its philosophical dimensions are rooted in axiology, ontology, and epistemology. Furthermore, the research proposes a demographic concept for regional policy plans, categorizing them into five distinct groups: Fertility, School Productive Age, Work Productive Age, Retirement Age, and Elderly Age. These findings provide a structured approach to conceptualizing and categorizing population dynamics for targeted policy intervention. While the abstract clearly states the terminological and philosophical aspects and proposes a comprehensive policy grouping, it would benefit from a clearer articulation of how the *statistical analysis* of Indragiri Hilir's secondary data directly leads to or informs these specific philosophical insights or the proposed policy group structures. The abstract describes the philosophical components and the five policy groups as "results," which might be more accurately framed as a *framework presented* or *recommendations derived* from an expert understanding of population statistics, rather than direct analytical outcomes from the Indragiri Hilir data itself. Future iterations or the full paper should explicitly detail the methodology by which the statistical analysis of the secondary data from Indragiri Hilir informs or validates these philosophical assertions and policy categorizations, thereby strengthening the paper's claimed integration of statistics and population science for "solving population problems through statistical analysis."

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