The use of geographic information systems to measure the financial performance of micro enterprises

Lau, Elfreda Aplonia; Endayani, Sri; Kulsum, Umi; Stefano, Andrew; Rokhim, Abdul; Purbawati, Purbawati

doi:10.11591/ijai.v14.i6.pp5333-5343

Akses terbuka Jurnal SINTA 1

The use of geographic information systems to measure the financial performance of micro enterprises

IAES International Journal of Artificial Intelligence · Vol. 14 No. 6 (2025) · hlm. 5333–5343

DOI: 10.11591/ijai.v14.i6.pp5333-5343
ISSN: 2252-8938, 2089-4872
Terbit: 2025-12-01
Penerbit: Institute of Advanced Engineering and Science
Bahasa: eng
Lisensi: creativecommons.org/licenses/by-sa/4.0

Abstrak

This study examines the application of geographic information systems (GIS) to measure and visualize the financial performance of micro enterprises in remote areas of East Kalimantan, Indonesia. Micro enterprises are crucial to local economies but often face barriers such as limited capital access, inadequate infrastructure, and insufficient business training. Using a mixed-method approach, the research combined surveys of 200 micro business owners, secondary economic data, and GIS-based spatial analysis. The results indicate clear spatial disparities: enterprises located closer to financial institutions and training programs achieved 25–30% higher profitability and stronger operational resilience. GIS mapping effectively identified performance clusters and underserved zones, providing actionable insights for targeted policy interventions. Key factors influencing financial outcomes include access to capital, training opportunities, and infrastructure quality. This study demonstrates the value of GIS as a decision-support tool for policymakers in designing spatially informed financial assistance, infrastructure planning, and mobile training deployment. The findings contribute to socio-economic planning discourse and propose a replicable GIS-based framework for strengthening microenterprise resilience in underdeveloped regions.

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11 penulis · 28 tautan kepenulisan bersama · 18 lintas organisasi

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Universitas 17 Agustus 1945 Samarinda
Universitas Nahdlatul Ulama Kalimantan Timur
Politeknik Pertanian Negeri Samarinda
Diponegoro University
Universitas Islam Negeri Ar-Raniry

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Rekan penulis	Organisasi	Artikel bersama
Fathiah Fathiah	Universitas Islam Negeri Ar-Raniry	3
Ida Rosanti	Universitas Nahdlatul Ulama Kalimantan Timur	3
Heriyanto Heriyanto	Diponegoro University	1
Titin Ruliana	Universitas 17 Agustus 1945 Samarinda	1
Danna Solihin	Universitas 17 Agustus 1945 Samarinda	1

Afiliasi berasal dari OpenAlex; metadata OAI-PMH jurnal tidak memuatnya. Penulis tanpa ID OpenAlex dicocokkan berdasarkan nama, sehingga dua orang bisa tergabung atau satu orang bisa terpisah.

Sumber metadata: OAI-PMH (metadata jurnal) http://ijai.iaescore.com/index.php/IJAI/oai, pertama di-harvest 8 Nov 2026, terakhir terlihat 8 Nov 2026.

Metadata asli (oai_dc)

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	<dc:title xml:lang="en-US">The use of geographic information systems to measure the financial performance of micro enterprises</dc:title>
	<dc:creator>Lau, Elfreda Aplonia</dc:creator>
	<dc:creator>Endayani, Sri</dc:creator>
	<dc:creator>Kulsum, Umi</dc:creator>
	<dc:creator>Stefano, Andrew</dc:creator>
	<dc:creator>Rokhim, Abdul</dc:creator>
	<dc:creator>Purbawati, Purbawati</dc:creator>
	<dc:subject xml:lang="en-US"></dc:subject>
	<dc:subject xml:lang="en-US">Financial performance; Geographic information systems; Micro enterprises; Remote areas; Spatial analysis;</dc:subject>
	<dc:description xml:lang="en-US">This study examines the application of geographic information systems (GIS) to measure and visualize the financial performance of micro enterprises in remote areas of East Kalimantan, Indonesia. Micro enterprises are crucial to local economies but often face barriers such as limited capital access, inadequate infrastructure, and insufficient business training. Using a mixed-method approach, the research combined surveys of 200 micro business owners, secondary economic data, and GIS-based spatial analysis. The results indicate clear spatial disparities: enterprises located closer to financial institutions and training programs achieved 25–30% higher profitability and stronger operational resilience. GIS mapping effectively identified performance clusters and underserved zones, providing actionable insights for targeted policy interventions. Key factors influencing financial outcomes include access to capital, training opportunities, and infrastructure quality. This study demonstrates the value of GIS as a decision-support tool for policymakers in designing spatially informed financial assistance, infrastructure planning, and mobile training deployment. The findings contribute to socio-economic planning discourse and propose a replicable GIS-based framework for strengthening microenterprise resilience in underdeveloped regions.</dc:description>
	<dc:publisher xml:lang="en-US">Institute of Advanced Engineering and Science</dc:publisher>
	<dc:contributor xml:lang="en-US"></dc:contributor>
	<dc:date>2025-12-01</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
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	<dc:identifier>https://ijai.iaescore.com/index.php/IJAI/article/view/27972</dc:identifier>
	<dc:identifier>10.11591/ijai.v14.i6.pp5333-5343</dc:identifier>
	<dc:source xml:lang="en-US">IAES International Journal of Artificial Intelligence (IJ-AI); Vol 14, No 6: December 2025; 5333-5343</dc:source>
	<dc:source>2252-8938</dc:source>
	<dc:source>2089-4872</dc:source>
	<dc:source>10.11591/ijai.v14.i6</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ijai.iaescore.com/index.php/IJAI/article/view/27972/14904</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2025 Elfreda Aplonia Lau, Sri Endayani, Umi Kulsum, Andrew Stefano, Abdul Rokhim, Purbawati</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-sa/4.0</dc:rights>
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