Economic value estimation of smart tourism using Augmented Reality(AR)

2021 ◽  
Vol 44 (0) ◽  
pp. 179-199
Author(s):  
Ye Lim Kim ◽  
Mi Seong Kim ◽  
Yoo Shik Yoon
Keyword(s):  
Augmented Reality ◽  
Economic Value ◽  
Value Estimation ◽  
Smart Tourism

The Factors Influencing Tourist Visitations Number in Curug Silawe

2019 ◽  
Vol 2 (3) ◽  
pp. 553-561
Author(s):  
Novian Hangga Prakosa ◽  
Fafurida Fafurida
Keyword(s):  
Economic Value ◽  
Consumer Surplus ◽  
Sampling Technique ◽  
Travel Cost ◽  
Analysis Tool ◽  
Literature Study ◽  
Factors Influencing ◽  
Negative Effect ◽  
Value Estimation ◽  
Positive Effect

The purposes of this research are to identify the influence of travel cost, income, distance, access, facilities, natural beautiness, and age on the number of individual visits to Curug Silawe and to estimate the economic value of Curug Silawe through individual travel cost method. The population in this study are tourists that visited Curug Silawe with sample of 98 respondents taken by the quota accidental sampling technique. The data collection method used are literature study and questionnaire. The analysis tool used are OLS linear regression and economic value estimation. The results showed the variables that influence the number of individual visits to Curug Silawe are income, distance and age. Income and age has a positive effect. While distance has a negative effect. The economic value of Curug Silawe reached IDR 1,109,930,140.48 per year. This value is obtained from consumer surplus obtained per individual per year of IDR 308,656.88. Tujuan dari penelitian ini adalah untuk mengidentifikasi pengaruh biaya perjalanan, pendapatan, jarak, akses, fasilitas, keindahan alam, dan usia pada jumlah kunjungan individu ke Curug Silawe dan untuk memperkirakan nilai ekonomi Curug Silawe melalui metode biaya perjalanan individu . Populasi dalam penelitian ini adalah wisatawan yang berkunjung ke Curug Silawe dengan sampel 98 responden yang diambil dengan teknik quota accidental sampling. Metode pengumpulan data yang digunakan adalah studi literatur dan kuesioner. Alat analisis yang digunakan adalah regresi linear OLS dan estimasi nilai ekonomi. Hasil penelitian menunjukkan variabel yang mempengaruhi jumlah kunjungan individu ke Curug Silawe adalah pendapatan, jarak dan usia. Penghasilan dan usia memiliki efek positif. Sedangkan jarak memiliki efek negatif. Nilai ekonomi Curug Silawe mencapai Rp1.109.930.140,48 per tahun. Nilai ini diperoleh dari surplus konsumen yang diperoleh per individu per tahun sebesar Rp308.656,88.

A Survey on the Economic Value Estimation of the World Taekwondo Hanmadang

2018 ◽  
Vol 27 (5) ◽  
pp. 691-702
Author(s):  
Ki-Dong Kim ◽  
Dae-Seung Yang ◽  
Kwon Jang
Keyword(s):  
Economic Value ◽  
The World ◽  
Value Estimation

Augmented Reality and Intelligent Packaging for Smart Tourism: A Systematic Review and Analysis

2021 ◽  
pp. 69-93
Author(s):  
Dimitrios Panagiotakopoulos ◽  
M. Christodoulou ◽  
A. Mountzouri ◽  
P. Konstantinou ◽  
M. G. Nomikou ◽  
...  
Keyword(s):  
Systematic Review ◽  
Augmented Reality ◽  
Intelligent Packaging ◽  
Smart Tourism

scholarly journals The Design Of Augmented Reality Media Koi Fish Literacy Using Fast Corner Algorithm

2021 ◽  
Vol 3 (1) ◽  
pp. 10
Author(s):  
Mohammad Rofi Rahman
Keyword(s):  
Pattern Recognition ◽  
Augmented Reality ◽  
Real Time ◽  
Economic Value ◽  
Maximum Level ◽  
Detection Algorithm ◽  
Corner Detection ◽  
Computational Time ◽  
Public Attention ◽  
Study Results

Ornamental fish that are quite famous and in demand in the market is the koi fish. This fish has a relatively high economic value, and its demand is increasing. There are still many difficulties in maintaining this fish so that it can cause the growth of disease and even death in the fish. It is due to the lack of public attention in terms of literacy about koi fish. Researchers used augmented reality technology to design koi fish literacy media based on these problems using the FAST Corner algorithm. So it is hoped that it could help improve public literacy about koi fish by introducing real-time information. The Fast Corner detection algorithm is helpful to accelerate the computational time when detecting corners in real-time with the markerless Augmented Reality technique. In this technique, the marker used for object tracking has been replaced with pattern recognition or pattern recognition of an object. The study results showed that experiments using this algorithm could track targets with good and faster performance and a maximum level of accuracy.

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