Segmentasi Kabupaten/Kota Berdasarkan Indikator Rumah Layak Huni di Provinsi Nusa Tenggara Timur Tahun 2024

Building from villages and from the ground up to achieve economic equality and eradicate poverty is one of the Asta Cita Missions of the Indonesian Government for the 2025 to 2029 period. To support the achievement of this mission, improving access to decent, affordable, and quality housing has become one of the Government’s key targets. Nusa Tenggara Timur is among the six provinces in Indonesia with the lowest percentage of households with access to decent housing. Therefore, to improve the province’s performance, a study needs to be conducted to accurately identify the target groups and support effective decision-making. This study aims to segment regencies/cities into several groups based on access to decent housing, serving as a reference for development priorities. The methodology used in this study is hierarchical cluster analysis, comparing the single linkage, average linkage, complete linkage, and Ward’s method. Among these, Ward's method yields the highest agglomerative coefficient and results in segmentation of regions into five distinct groups. The study concludes that policy-making based on regional prioritization through clustering analysis can improve the efficiency and effectiveness of programs aimed at ensuring decent, affordable, and quality housing for the community.

Authors

Publication Details

Journal
Jurnal Statistika Terapan (ISSN 2807-6214)
Published
2025-06-30
DOI
https://doi.org/10.64930/jstar.v5i1.110
Primary Topic
Economic Growth and Fiscal Policies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Segmentasi Kabupaten/Kota Berdasarkan Indikator Rumah Layak Huni di Provinsi Nusa Tenggara Timur Tahun 2024

Marlia Augustio Adang
Jurnal Statistika Terapan (ISSN 2807-6214)
Economic Growth and Fiscal Policies
article

Segmentasi Kabupaten/Kota Berdasarkan Indikator Rumah Layak Huni di Provinsi Nusa Tenggara Timur Tahun 2024

Marlia Augustio Adang
article en

Abstract

Building from villages and from the ground up to achieve economic equality and eradicate poverty is one of the Asta Cita Missions of the Indonesian Government for the 2025 to 2029 period. To support the achievement of this mission, improving access to decent, affordable, and quality housing has become one of the Government’s key targets. Nusa Tenggara Timur is among the six provinces in Indonesia with the lowest percentage of households with access to decent housing. Therefore, to improve the province’s performance, a study needs to be conducted to accurately identify the target groups and support effective decision-making. This study aims to segment regencies/cities into several groups based on access to decent housing, serving as a reference for development priorities. The methodology used in this study is hierarchical cluster analysis, comparing the single linkage, average linkage, complete linkage, and Ward’s method. Among these, Ward's method yields the highest agglomerative coefficient and results in segmentation of regions into five distinct groups. The study concludes that policy-making based on regional prioritization through clustering analysis can improve the efficiency and effectiveness of programs aimed at ensuring decent, affordable, and quality housing for the community.

Jurnal Statistika Terapan (ISSN 2807-6214)Vol. 5(1)
Openalex Percentile: Top 66%
Economic Growth and Fiscal Policies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Segmentasi Kabupaten/Kota Berdasarkan Indikator Rumah Layak Huni di Provinsi Nusa Tenggara Timur Tahun 2024 — Marlia Augustio Adang · Jurnal Statistika Terapan (ISSN 2807-6214) (2025) | TGRS Research Map | TGRS