Processing Location Data for Ambient Intelligence Applications

2011 ◽  
pp. 66-69
Author(s):  
Samuel del Bello ◽  
Jared Hawkey ◽  
Sofia Oliveira ◽  
Olivier Perriquet ◽  
Nuno Correia
Keyword(s):  
Ambient Intelligence ◽  
Location Data

Retail Mix Dan Kepuasan Konsumen Minimarket

Liquidity ◽  
2018 ◽  
Vol 7 (1) ◽  
pp. 53-62
Author(s):  
Siti Maryama ◽  
Yayat Sujatna
Keyword(s):  
Consumer Satisfaction ◽  
Quantitative Method ◽  
Descriptive Analysis ◽  
T Test ◽  
Primary Data ◽  
Retail Industry ◽  
Location Data ◽  
Store Design ◽  
Customer Services ◽  
The Difference

The purpose of this study is to (1) analyzing the level of retail mix consumer satisfaction; (2) analyze the dominant variable in retail mix consumer satisfaction; (3) analyze the difference of retail mix consumer satisfaction performed. The observed of the retail industry is Alfamidi and Indomaret. The study was designed into a descriptive-quantitative method. The source of primary data obtained from the questionnaire of 100 respondents. The formulating variable of retail mix includes: merchandise assortments, pricing, customer services Store design and display, communication mix, and location. Data analyze by using descriptive, analysis of factors, and t-test. The result confirmed that the level of retail mix consumer satisfaction in both industry is relatively similar. However, it can be stated that the respondents were more satisfied to Indomaret compared with Alfamart.

Same Time Detection of PM2.5 and Location Data by Android Portable Device

2016 ◽  
Vol 136 (5) ◽  
pp. 142-147
Author(s):  
Yusuke Harada ◽  
Yoshinori Matsumoto
Keyword(s):  
Portable Device ◽  
Location Data

Marine geologic studies in the Beaufort Sea, Alaska, 1980; location, data type, and records obtained

1982 ◽  
Author(s):  
Edward W. Kempema ◽  
Erk Reimnitz ◽  
Peter W. Barnes
Keyword(s):  
Beaufort Sea ◽  
Data Type ◽  
Location Data
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