Weitere Kapitel dieses Buchs durch Wischen aufrufen
The majority of Indonesian people live in rural areas. Most of them are working in the agricultural sector. However, the agricultural sector is not going well so it cannot contribute to the welfare of the society. This factor pushes a massive urbanization, where people in rural areas migrate to the urban areas; they prefer to be a factory worker or a store employee instead of managing the economic potential in their hometown. In fact, the rural areas can be developed for economic growth, such as the development of the tourism sector. Saturation of tourists to the city’s attractions gives opportunities to develop a village-based alternative tourism. By using the status of DIY as a world-class tourism city, some districts are trying to attract tourists by developing tourist villages. This study aimed to analyze the factors that influence the development of rural tourism located in Sleman Regency. During the development, the tourist villages are divided into two groups in relation to their growing capability, i.e., middle growing and non-growing groups.
Bitte loggen Sie sich ein, um Zugang zu diesem Inhalt zu erhalten
Sie möchten Zugang zu diesem Inhalt erhalten? Dann informieren Sie sich jetzt über unsere Produkte:
Statistics Indonesia. 2010. Data of Population Census.
Statistics Indonesia. 2013. Amount and Percentage of Poor Population, Poverty Line, Indexes of Poverty.
Statistics Indonesia. 2013. Official Statistics News. No.87/12/Th. XIV, 2 December 2013
Bantul Tourism Board. 2013. www.disbudpar.bantulkab.go.id
Jogja Tourism Board. 2013. http://pariwisata.jogjakota.go.id/index/extra.arsip/2
Everitt BS. 1994. A hand book of statistical analysis usings-plus 1st ed. London: Chapman&Hall
Chinese D,Meneghetti. 2004. A Energy analysis in industrial districts: A statistics-based approach,” International Journal of Global Energy Issues 2004; 21 (4): 315 e28
Calinski T,Harabasz J. 1974. A dendrite method for cluster analysis. Communications in Statistics 1974;3(1):1e27
Jain A K, Dubes R C. 1988. Cluster validity in algorithms for clustering data. Englewood Cliffs, NJ: Prentice Hall; 1988 p. 143e222 [chapter4]
Banfield J D, Raftery A E. 1993. Model based Gausian and non-Gausian clustering. Biometrics 1993; 49 (3): 803e21
J. MacQueen. 1967. Some methods for classification and analysis of multivariate observations. Proceedings of the 5th Berkeley Symposium on Mathematical Statistics and Probability, Vol.1, pp. 281–297, Berkeley: University of California Press
Evans, Lindsay. 2007. An Introduction to Six Sigma and Process Improvement, Jakarta: Salemba Empat
Zairi, M. 1996. Effective Benchmarking: Learning from the Best. London: Chapman & Hall
Andersen, Bjorn and Pettersen, Per-Gaute. 1996. The Benchmarking Handbook. London: Chapman & Hall
Seba, Jaime A. 2012. Tourism and Hospitality: Issue and Developments. USA: Apple Academic Press
Uysal, Muzaffer, Perdue, Richard R., and Sirgy, M. Josep. Handbook of Tourism and Quality of Life Research. USA: Springer
Echtner, Charlotte M and Ritchie, J.R.Brent. 2003. The Meaning and Measurement of Destination Image. The Journal of Tourism Studies. Vol. 14 No.1 May: 37–49
- Tourist Village for Rural Economic Development
Yasser Azka Ulil Albab
- Springer Singapore