TY - JOUR
T1 - GIS-based NNA and Kernel Density Analysis for Identifying Distribution of Restaurant's Popularity Index in Bandung
AU - A'Idah, S. S.
AU - Susiloningtyas, D.
AU - Shidiq, I. P.A.
N1 - Funding Information:
This study is supported and funded by the Directorate Research and Development (DPRM), University of Indonesia under the Publikasi Terindeks Internasional (PUTI) 2020 research grant no. NKB-4513/UN2.RST/HKP.05.00/2020. The authors also express their greatest gratitude and the highest appreciation to Department of Geography, Faculty of Mathematics and Natural Science, University of Indonesia which has facilitated the research activities.
Publisher Copyright:
© Published under licence by IOP Publishing Ltd.
PY - 2021/12/14
Y1 - 2021/12/14
N2 - With the advancement of information and communication technology, geographic information systems (GIS) also grow. The existence of GIS allows problems to be solved as much as possible by paying attention to the surrounding space. GIS applications have been widely applied in everyday life including in the culinary field. The existence of GIS in the culinary field can make it easier to find location information where a restaurant is located and find out how the restaurant's popularity index is. This research focuses on using NNA and KDA to analyze distribution patterns formed from each classification of restaurant popularity index in Bandung and the density of the restaurant point. Restaurant data containing restaurant names, restaurant addresses, restaurant types, food types, and restaurant popularity indexes were obtained from Zomato using Zomato's Application Programming Interface (API). The result of this research are spatial distribution pattern of the high, medium, and low popularity restaurants in Bandung City showing the same characteristics, clustering and has a large density in several sub-districts.
AB - With the advancement of information and communication technology, geographic information systems (GIS) also grow. The existence of GIS allows problems to be solved as much as possible by paying attention to the surrounding space. GIS applications have been widely applied in everyday life including in the culinary field. The existence of GIS in the culinary field can make it easier to find location information where a restaurant is located and find out how the restaurant's popularity index is. This research focuses on using NNA and KDA to analyze distribution patterns formed from each classification of restaurant popularity index in Bandung and the density of the restaurant point. Restaurant data containing restaurant names, restaurant addresses, restaurant types, food types, and restaurant popularity indexes were obtained from Zomato using Zomato's Application Programming Interface (API). The result of this research are spatial distribution pattern of the high, medium, and low popularity restaurants in Bandung City showing the same characteristics, clustering and has a large density in several sub-districts.
UR - http://www.scopus.com/inward/record.url?scp=85122202690&partnerID=8YFLogxK
U2 - 10.1088/1755-1315/940/1/012012
DO - 10.1088/1755-1315/940/1/012012
M3 - Conference article
AN - SCOPUS:85122202690
SN - 1755-1307
VL - 940
JO - IOP Conference Series: Earth and Environmental Science
JF - IOP Conference Series: Earth and Environmental Science
IS - 1
M1 - 012012
T2 - 2nd International Symposium of Earth, Energy, Environmental Science and Sustainable Development, JEESD 2021
Y2 - 25 September 2021 through 26 September 2021
ER -