Estimation of poverty model effect size in Indonesia using meta-analytic structural equation modeling (MASEM)

Standsyah, Rahmawati Erma; Otok, Bambang Widjanarko; Suharsono, Agus

doi:10.1063/5.0112323

Cited by 1 publication

(1 citation statement)

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“…Several researchers have also studied how to deal with underdeveloped areas such as the Estimation of Poverty Model Effect Size in Indonesia Using Meta-Analytic Structural Equation Modeling (MASEM) by (Standsyah et al, 2023) which discusses the relationship between variables in underdevelopment criteria, Assessment and key factors of urban liveability in underdeveloped regions: A case study of the Loess Plateau, China by (Xiao et al, 2022) which analyzes important factors in the existence of underdeveloped regions, and Unleashing the potential of mobile broadband: Evidence from Indonesia's underdeveloped regions on its role in reducing income inequality by (Ariansyah et al, 2023) which examines the relationship between the development of information technology and the society and economy in underdeveloped areas.…”

Section: Introductionmentioning

confidence: 99%

Efforts to Alleviate Underdeveloped Areas by Clustering Regional Characteristics in Indonesia

Suyanto,

Budiarti,

Standsyah

et al. 2024

MINISTAL

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This study aims to cluster the underdeveloped regions in Indonesia according to the criteria of the underdeveloped indicator to mitigate the underdeveloped regions in Indonesia. This research was conducted to help the various efforts made by the government to deal with the underdeveloped regions, by grouping the underdeveloped regions, it is hoped that the government can focus on increasing the dominant criteria in the regions according to the cluster. The grouping method used is K-means with the results of 62 underdeveloped districts in Indonesia divided into 3 clusters. The first cluster includes 23 districts grouped based on human resource criteria, the second cluster consists of 28 districts based on infrastructure/facilities criteria, and the third cluster consists of 11 districts based on economics criteria.

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Section: Introductionmentioning

confidence: 99%