Implementation of Geolocation Technology for Modeling the Distribution of Micro, Small, and Medium Enterprise (MSME) Business Potential Using a GeoJSON-based Spatial Format

Angga Setiyadi, Eko Budi Setiawan, Chrismikha Hardyanto, Eddy Soeryanto Soegoto

Abstract


This study implements geolocation technology with a JSON-based spatial format to model the distribution of Micro, Small, and Medium Enterprises (MSMEs) business potential in West Java, Indonesia. Tabular records from spreadsheets were transformed into that spatial format, integrated into a browser-based map, and their spatial accuracy was tested by comparing point visualizations between the web map and a desktop environment. The system consistently displayed business locations and attributes and offered an accessible, lightweight interface that requires no additional software. The approach was chosen because it natively combines geometry and properties, enables direct loading in browsers, and supports responsive interaction, which reduces friction for stakeholders who need spatial insight but lack GIS expertise. The workflow emphasized clear data preparation, manual geocoding, and verification against desktop outputs. Impact: The application supports spatially informed planning and decision making and provides a foundation for future capabilities such as automated geocoding, search, regional categorization, heatmaps, and interactive dashboards.

Keywords


Business potential; GeoJSON; Geolocation; Leaflet; QGIS; Website

Full Text:

PDF

References


Djuknic, G. M., and Richton, R. E. (2002). Geolocation and assisted GPS. Computer, 34(2), 123–125.

Zandbergen, P. A., and Barbeau, S. J. (2011). Positional accuracy of assisted GPS data from high-sensitivity GPS-enabled mobile phones. The Journal of Navigation, 64(3), 381–399.

Setiawan, E., and Setiyadi, A. (2023). Comparative analysis of web hosting server performance. International Journal of Engineering, 36, 558–564.

Vitalis, S., Arroyo Ohori, K., and Stoter, J. (2020). CityJSON in QGIS: Development of an open-source plugin. Transactions in GIS, 24(5), 1147–1164.

Lewis, G., Snider, B., Vamvakeridou-Lyroudia, L., Chen, A. S., Djordjević, S., and Savić, D. A. (2023). Web-based GIS for simulation, and visualisation: EPANET and data-rich shapefiles. IOP Conference Series: Earth and Environmental Science, 1136(1), 12007.

Setiyadi, A., Setiawan, E. B., and Hardyanto, C. (2024). Aplikasi pedagang keliling menggunakan teknologi geolocation dan cloud messaging. Jurnal Teknologi Dan Sistem Informasi, 10(2), 100–110.

Arifin, O., and Supriyatna, A. R. (2023). Sistem informasi geografis untuk pemetaan lahan kakao menggunakan leaflet Js dan Geojson. Jurnal Teknoinfo, 17(1), 364.

Horbiński, T., and Lorek, D. (2022). The use of Leaflet and GeoJSON files for creating the interactive web map of the preindustrial state of the natural environment. Journal of Spatial Science, 67(1), 61–77.

Subroto, W. T., and Baidlowi, I. (2021). Empowering small medium enterprises to foster profitability for welfare society in Indonesia. Academy of Entrepreneurship Journal, 27(5S), 1–14.

Chan, C., and others. (2023). GPS data analytics for the assessment of public city bus transportation service quality in Bangkok. Sustainability, 15(7), 5618.

Setiyadi, A., and Setiawan, E. B. (2018). Information system monitoring access log database on database server. IOP Conference Series: Materials Science and Engineering, 407(1), 12110.

Setiyadi, A., and Setiawan, E. B. (2025). Analysis data loading of new entrepreneur in west java using client server-side method. AIP Conference Proceedings, 3200(1), 40011.

Srinivasan, T. N. (1994). Data base for development analysis: An overview. Journal of Development Economics, 44(1), 3–27.

Ekstrom, P. A. (2004). An advance in geolocation by light. Memoirs of National Institute of Polar Research. Special Issue, 58, 210–226.

Shavitt, Y., and Zilberman, N. (2011). A geolocation databases study. IEEE Journal on Selected Areas in Communications, 29(10), 2044–2056.

Wiebe, H., Heygster, G., and Meyer-Lerbs, L. (2008). Geolocation of AMSR-E data. IEEE Transactions on Geoscience and Remote Sensing, 46(10), 3098–3103.

Netek, R., Pohankova, T., Bittner, O., and Urban, D. (2023). Geospatial analysis in Web Browsers—Comparison study on WebGIS process-based applications. ISPRS International Journal of Geo-Information, 12(9), 374.

Arifdjanov, S. S. A. (2023). Web maps for designing rural and urban telecommunication networks. Confrencea, 11(1), 299–302.

Atkinson, R. A., Hunter, A., Car, N. J., Purss, M. B. J., and Cochrane, B. (2022). Roadmap for interoperable 3D data models in OGC APIS and other data exchange approaches. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 48, 13–20.




DOI: https://doi.org/10.17509/ajse.v6i3.90872

Refbacks

  • There are currently no refbacks.


Copyright (c) 2025 Universitas Pendidikan Indonesia

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

ASEAN Journal of Science and Engineering (AJSE) is published by UPI 

View My Stats