Strategi Berbasis Data Untuk Penanggulangan Kemiskinan Di Kabupaten Lembata

Poverty alleviation is a crucial issue in regional development, particularly in Kabupaten Lembata, where socioeconomic disparities persist. This study aims to identify priority intervention areas for poverty reduction using a data-driven approach based on the Integrated Social Welfare Data (DTKS) of 2022. The research employs a quadrant analysis method combined with a participatory poverty assessment (PPA) to determine target districts and villages for intervention. Findings indicate that Omesuri and Buyasuri sub-districts have the highest poverty levels, requiring urgent intervention. At the village level, the study identifies several high-priority areas within each sub-district, facilitating more effective policy implementation. The research highlights the importance of using real-time data and geospatial analysis in policymaking to ensure targeted and sustainable poverty reduction programs. The findings provide a strategic framework for local governments and stakeholders to optimize resources in addressing poverty effectively.

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Publication Details

Journal
Jurnal Ekonomika
Published
2025-04-25
DOI
https://doi.org/10.35334/7pbqhs46
Primary Topic
Economic Growth and Fiscal Policies
Type
article
Field-Weighted Citation Impact
0.00
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article

Strategi Berbasis Data Untuk Penanggulangan Kemiskinan Di Kabupaten Lembata

Marius Masri
Jurnal Ekonomika
Economic Growth and Fiscal Policies
article

Strategi Berbasis Data Untuk Penanggulangan Kemiskinan Di Kabupaten Lembata

Marius Masri
article en

Abstract

Poverty alleviation is a crucial issue in regional development, particularly in Kabupaten Lembata, where socioeconomic disparities persist. This study aims to identify priority intervention areas for poverty reduction using a data-driven approach based on the Integrated Social Welfare Data (DTKS) of 2022. The research employs a quadrant analysis method combined with a participatory poverty assessment (PPA) to determine target districts and villages for intervention. Findings indicate that Omesuri and Buyasuri sub-districts have the highest poverty levels, requiring urgent intervention. At the village level, the study identifies several high-priority areas within each sub-district, facilitating more effective policy implementation. The research highlights the importance of using real-time data and geospatial analysis in policymaking to ensure targeted and sustainable poverty reduction programs. The findings provide a strategic framework for local governments and stakeholders to optimize resources in addressing poverty effectively.

Jurnal Ekonomika
Universitas Katolik Widya Mandira (ID)
Openalex Percentile: Top 78%
Economic Growth and Fiscal Policies
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