CONSUMER INTEREST TO ONLINE FOOD ORDER SITES ON GOOGLE TRENDS: THE EXAMPLE OF YE

2021 ◽  
Vol 1 (2) ◽  
pp. 74-91
Author(s):  
Kübra Müge ÇAKARÖZ
Keyword(s):  
Google Trends ◽  
Consumer Interest ◽  
Food Order

An Innovative Approach for Online Food Order Management System

2018 ◽  
Vol 8 (3) ◽  
pp. 19
Author(s):  
Anshika Srivastava ◽  
Anjali Baranwal
Keyword(s):  
Open Source Software ◽  
Fast Food ◽  
Book Order ◽  
Food Items ◽  
Order Management ◽  
Restaurant Managers ◽  
Fast Food Restaurants ◽  
System Administrator ◽  
Data Connection ◽  
Food Order

Abstract— Restaurants are one of the favorite premises .An online food ordering is a integrated process in fast food Restaurants to offer choice of food from menu, cooked and served or packaged hot to satisfy customer  to immediately make orders on their ownselves. Customers can also call the restaurant to pack in advance or to  deliver the food item but sometimes restaurants run out of certain items.The existing system lacks the feature to use Remote GPS tracker such that restaurant managers are auto updated about the location of the customer before reaching the restaurant. We propose a complete system to easily manage online menu where items update as per the availability of food and prices. The Customer views the products, register and place the order. The system administrator adds and manages user accounts and the Manager manages product and orders. The Kitchen meal deliverable deals with pending deliveries .The proposed system is developed using Android platform which is open source software and built in data connection modules. It also decreases labour rates to replace mobile phones to book order and table unlike employees who come to take order and payments .In advent of food consumption problems like obesity, overeating etc. ,he proposed system will show food items with nutrition based searches showing ingredients of the food items.

Pengaruh desain produk dan harga terhadap minat beli konsumen mebel jati jepara pada Toko Usaha Baru Furniture di Lubuk Alung

2019 ◽  
Vol 8 (2) ◽  
Author(s):  
Sutiyem Sutiyem ◽  
Thesa Alif Ravelby ◽  
Dessy Trismiyanti
Keyword(s):  
Product Design ◽  
Significant Influence ◽  
Design Variable ◽  
Quantitative Research ◽  
Coefficient Of Determination ◽  
Purchase Decision ◽  
Significant Positive Effect ◽  
Consumer Interest ◽  
Spss Software ◽  
Positive Effect

This study aims to determine the effect of product design and price on consumer interest in buying Jepara Teak furniture at the New Furniture Business Shop in Lubuk Alung. This type of research is associative quantitative research, the number of research samples were 100 people. Data was collected in the form of questionnaires and using analyzed SPSS software ver.21.0 for Windows. The conclusions from this study is the product design variable (X1) has a significant positive effect on purchase decision in Jati Jepara furniture at the New Furniture Business Shop in Lubuk Alung, as evidenced by t value > t table (10,400> 1,660) and a significant influence between price variables ( X2) purchase decision with t value> t table (2,015> 1,660). There is a positive and significant influence between product design (X1) price (X2), on purchase decision of Jati Jepara furniture consumers with an F-value 156,644> F- table (3,09) means that it affects together. The coefficient of determination (R²) results obtained a coefficient of 0.764 or 76.4%, while 23.6% is influenced by other variables.Keywords: Product design; prices; purchase decision.

THE IMPACT OF VIRAL MARKETING ON CONSUMER INTEREST ON INDIHOME PRODUCT

2019 ◽  
Vol 7 (1) ◽  
pp. 103-107
Author(s):  
Yani Restiani Widjaja ◽  
Ruth Alexandra
Keyword(s):  
Viral Marketing ◽  
Consumer Interest ◽  
The Impact

An Epidemic Avian Influenza Prediction Model Based on Google Trends

2019 ◽  
Vol 16 (4) ◽  
pp. 303-310 ◽  
Author(s):  
Yi Lu ◽  
Shuo Wang ◽  
Jianying Wang ◽  
Guangya Zhou ◽  
Qiang Zhang ◽  
...  
Keyword(s):  
Linear Regression ◽  
Avian Influenza ◽  
Prediction Model ◽  
Multiple Linear Regression ◽  
Google Trends ◽  
Health Providers ◽  
Human Beings ◽  
Success Rates ◽  
New Model ◽  
Regression Approach

The occurrence of epidemic avian influenza (EAI) not only hinders the development of a country's agricultural economy, but also seriously affects human beings’ life. Recently, the information collected from Google Trends has been increasingly used to predict various epidemics. In this study, using the relevant keywords in Google Trends as well as the multiple linear regression approach, a model was developed to predict the occurrence of epidemic avian influenza. It was demonstrated by rigorous cross-validations that the success rates achieved by the new model were quite high, indicating the predictor will become a very useful tool for hospitals and health providers.

COVID-19 Related Web Search Behaviors: An Analytical Study of Google Trends-based Query Volumes in Indonesia (Preprint)

2020 ◽  
Author(s):  
Vita Widyasari ◽  
Karisma Trinanda Putra ◽  
Jiun-Yi Wang
Keyword(s):  
Web Search ◽  
Public Awareness ◽  
Relevant Information ◽  
Community Response ◽  
Google Trends ◽  
P Value ◽  
Basic Information ◽  
First Case ◽  
The Government ◽  
Economic Anxiety

BACKGROUND The volume of search keywords on Google can be used as a reference to an ongoing online trend during COVID-19 pandemic. OBJECTIVE This study was aimed to estimate the responsiveness and public awareness in early days of the COVID-19 outbreak in Indonesia using Google Trends relative search volumes (RSV). METHODS Sixty terms or keywords forming six topics included in the analysis were basic information, prevention, government policy, socio-economic, anxiety, and other issues related to COVID-19. All these keywords were checked for surveillance purposes between January 1 and May 4, 2020. The Python programming language was used for data mining from Google Trends databases. Correlation analysis was conducted to examine the correlations between the incidence of COVID-19 and the search terms. RESULTS Community response and awareness in the six topics were associated with the number of COVID-19 cases (r range between 0.570-0.825, P-value<.005). Before the first case announced in Indonesian, the prominent topics were basic information and other issues. One month after the first case, all topics experienced an increase in RSV. In the phase of outbreak, socio-economic and anxiety got much more attentions. CONCLUSIONS The government should consider to optimize the internet as a media for timely delivering most relevant information and dynamically respond massive queries, and improve health communications to increase public awareness and intention to prevent the disease.

Sign in / Sign up

Export Citation Format

Share Document