Analysis of Co-Location Pattern in Surabaya City Convenience Franchise Store

Naufal Muhammad Hirzi, Teguh Imanto, Aniati Murni Arymurthy, Andie Setiyoko, Fajar Yulianto

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


The Indonesian retail industry continues to grow, especially modern retail owned by individuals, which needs to reflect on the successful franchise retail industry. This study discusses the analysis of location selection at one of the largest retailers in Indonesia through a spatial pattern analysis approach that is useful as a role model for individual retailers. The object of this research is Indomaret retail in Surabaya city, the second big city in Indonesia after Jakarta based on its population. Data are collected from OpenStreetMap and co-location mining is performed on relevant location attributes and then evaluated using the participation index (PI). PI is calculated against major attributes, combinations of 2 minor attributes, and combinations of 3 minor attributes, then sorted to get the top 3 attributes. The major attribute with the highest PI score is footfall, while the minor attribute with 2 combinations results is worship facility, and with 3 combinations results in food service. Spatial data analysis is proven to detect retail store location patterns. The results of this study can be applied as a reference for location selection in opening new retail stores, especially in the high-density population area which has a similar type to Surabaya city.

Original languageEnglish
Title of host publicationAIP Conference Proceedings
EditorsHarry Septanto, Muhammad Ilham Adhynugraha, Yenni Vetrita, Cahya Edi Santosa, Peberlin Parulian Sitompul, Erma Yulihastin, Johan Muhamad, Mardianis, Ery Fitrianingsih, Mario Batubara, Prayitno Abadi, Afni Restasari
PublisherAmerican Institute of Physics Inc.
ISBN (Electronic)9780735447554
Publication statusPublished - 11 Dec 2023
Event9th International Seminar on Aerospace Science and Technology, ISAST 2022 - Virtual, Online, Indonesia
Duration: 22 Nov 202223 Nov 2022

Publication series

NameAIP Conference Proceedings
ISSN (Print)0094-243X
ISSN (Electronic)1551-7616


Conference9th International Seminar on Aerospace Science and Technology, ISAST 2022
CityVirtual, Online


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