TY - JOUR
T1 - Spatial data utilization for location pattern analysis
AU - Widaningrum, Dyah Lestari
AU - Prajitno, Isti Surjandari
AU - Arymurthy, Aniati Murni
N1 - Publisher Copyright:
© 2018 The Authors.
PY - 2017
Y1 - 2017
N2 - Retail industry growth in Indonesia is considered significant and will continue, related to Indonesian lifestyle changes. One of the important things to consider is location determination. The complexity of the location determination problem for the development of a business requires a comprehensive decision support system, using relevant data and appropriate technology so that it can accommodate a variety of data formats and information. This paper described the spatial pattern analysis approach to discover patterns of fast food restaurants. ArcGIS Spatial Autocorrelation (Moran's I) tool was used to find evidence that the fast food restaurant distribution in Jakarta, as the biggest city in Indonesia, has a clustered pattern and were not the result of random chance. The clustered pattern was investigated using Kernel Density Estimation (KDE) to identify the clustered area of fast food restaurant.
AB - Retail industry growth in Indonesia is considered significant and will continue, related to Indonesian lifestyle changes. One of the important things to consider is location determination. The complexity of the location determination problem for the development of a business requires a comprehensive decision support system, using relevant data and appropriate technology so that it can accommodate a variety of data formats and information. This paper described the spatial pattern analysis approach to discover patterns of fast food restaurants. ArcGIS Spatial Autocorrelation (Moran's I) tool was used to find evidence that the fast food restaurant distribution in Jakarta, as the biggest city in Indonesia, has a clustered pattern and were not the result of random chance. The clustered pattern was investigated using Kernel Density Estimation (KDE) to identify the clustered area of fast food restaurant.
KW - GIS
KW - Spatial data
KW - cluster
KW - fast food restaurant
UR - http://www.scopus.com/inward/record.url?scp=85041509660&partnerID=8YFLogxK
U2 - 10.1016/j.procs.2017.12.131
DO - 10.1016/j.procs.2017.12.131
M3 - Conference article
AN - SCOPUS:85041509660
SN - 1877-0509
VL - 124
SP - 69
EP - 76
JO - Procedia Computer Science
JF - Procedia Computer Science
T2 - 4th Information Systems International Conference 2017, ISICO 2017
Y2 - 6 November 2017 through 8 November 2017
ER -