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p-Index From 2021 - 2026
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This Author published in this journals
All Journal JAS (Journal of ASEAN Studies) Advance Sustainable Science, Engineering and Technology (ASSET)
Salut Muhidin, Salut
Macquarie University, Australia
Chemistry Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Industrial & Manufacturing Engineering Social Sciences

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Global Indonesian Diaspora: How many are there and where are they? Muhidin, Salut; Utomo, Ariane
JAS (Journal of ASEAN Studies) Vol 3, No 2 (2015): Journal of ASEAN Studies
Publisher : Centre for Business and Diplomatic Studies (CBDS) Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/jas.v3i2.847

Abstract

In the last few years, there is an increasing interest in connecting Indonesian diaspora around the world in order to assist in the national development. A recent event called “Congress of Indonesian Diaspora” held by Indonesian Diaspora Network (IDN) in Jakarta has been conducted to focus on this issue. Nevertheless, there is still little known about the actual size and composition of the global Indonesian diaspora. This paper attempts to contribute to fill in this gap by analysing migration patterns and several specific demographic factors among Indonesian diaspora as part of the largest global community. The paper will also explore the potential impacts of Indonesian diaspora could play in Indonesian development.
Kernel Density and Spatial Modeling of Informal Settlement Concentration: Methodology and Findings from Palembang, Indonesia Sukmaniar; Listyaningsih, Umi; Muhidin, Salut
Advance Sustainable Science Engineering and Technology Vol. 8 No. 1 (2026): November - January
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v8i1.2980

Abstract

Rapid urbanization has intensified the growth of slum settlements in Indonesian cities, including Palembang, where informal housing commonly develops along riverbanks. This study aimed to identify and evaluate the spatial distribution and density of slum areas in Palembang City through a Geographic Information System (GIS)–based approach combining Kernel Density Estimation (KDE) and Receiver Operating Characteristic–Area Under Curve (ROC–AUC) analysis. Primary spatial data were obtained from 382 household survey points representing 64 slum polygons across 13 sub-districts, supplemented by administrative boundary and land-use data from the Palembang City Government. Spatial analysis and validation were conducted using ArcGIS 10.3 software. The KDE results showed density values ranging from 0 to 58.1123 units per 100 m², with the highest concentrations found along the Musi River corridor, decreasing outward from the riverbanks. Model validation achieved an AUC value of 0.968 (96.8%), demonstrating excellent predictive accuracy. These spatial outcomes provide actionable guidance for policymakers by identifying priority zones for sanitation and drainage upgrades, flood-resilient housing design, and targeted relocation planning. The study highlights the practical role of GIS-based quantitative modelling in supporting evidence-based slum management and urban infrastructure planning in Indonesia. 
Co-Authors Ariane Utomo, Ariane Sukmaniar Umi Listyaningsih