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The purpose of this study is to determine the effect of destination images consisting of cognitive images, unique images and affective images on loyalty through visitor satisfaction at Mount Bromo natural tourism destinations. This type of research is explanatory research and data collection techniques through questionnaires. The sampling technique uses the purposive sampling technique with the characteristics of people who have been to Mount Bromo. The sample in this study amounted to 110 respondents. The analysis technique uses hypothesis testing and the two model multiple regression test. Results of research show that cognitive imagery, unique imagery and affective imagery have a significant effect on visitor satisfaction, furthermore cognitive imagery and affective imagery have a significant effect on visitor loyalty while unique images have no significant effect on visitor loyalty. If seen from the indirect effect, the results of cognitive image and unique image have a significant effect on loyalty through visitor satisfaction, while affective image does not affect loyalty through visitor satisfaction.

The tourism industry has the characteristic interdependence : (1) Hospitality Industry (Food and Baverage, and accommodation); (2) Travel (Retail and Wholeseller; The operator); (3) Visitor Services (Attraction; Event; and Tourism Agencies). Therefore, to build a strong tourism industry needed a strong organisational relationships. Power and dependence is an important basic building cooperation between organizations. One of the cities in Indonesia that are prominent in tourism is Kota Batu. Kota Batu is the icon of tourism in East Java. Even in the year 2006-2007, the industry of tourism in Kota Batu had dropped shraply because of overflow of Lapindo mud. In 2012, the total tourists visiting the Kota Batu reached 1,603,441 visitors. In 2013 increased 1,881,446 and 2,089,022 tourists in 2014. That number rises quickly compared in 2007, when the condition of the Kota Batu dropped as the number of tourist visits less than 1 million people. Now, in 2016, The government of Kota Batu target revenue of Rp 1 trillion, where 80% is derived from the tourism sector. Therefore, in the study will be analized how the government power in developing the tourism industry in Kota Batu. The technical analysis of this research uses a combination of analysis statistics and policy analysis. The analysis unit of this study is the tourism industry in Kota Batu. This research population are the stakeholders in the tourism industry : tourism entrepreneur and community. Based on the statistics analysis, the aspect of power has significant influence towards the development of the tourism industry. This shows the importance of the government role in developing the tourism industry.

This study aims to determine: 1) the influence of tourist village attraction to image of tourist village; 2) the influence of community based tourism  to image of tourist village; and 3) the influence of community based tourism  in strengthening   tourist village attraction to images of tourist village. This research was conducted in Batu City with a sample of 120 tourists. The results show: 1) the  tourist village attraction has a significant effect to images of  tourist village; 2) the influence of community based tourism has a significant effect  to images of tourist village; and 3) the community based tourism does not  strengthen the influence of tourist village attraction to images of  tourist village, but the direct influence of Community Based Tourism on the image of a tourist village is greater than the direct effect of the attractiveness of a tourist village on the image of a tourist village

This study aims :1) to examine the effect of strategic alliances and government policies on the achievement of competitive advantage of micro, small and medium creative enterprises, 2) to assess the role of government policies in moderating the relationship between strategic alliances and competitive advantage. This study was conducted in 130 micro, small and medium craft enterprises in Malang Raya. Using SEM-PLS in WarpPLS 6.0, this study finds that strategic alliances have significant effects on competitive advantage. Government policy does not moderates the relationship between strategic alliances and competitive advantage, but at the same time it serves as the driver of strategic alliances and the predictor of competitive advantage. Government policies have the highest loading factor, followed by strategic alliances. Thus, micro, small and medium enterprises in creative economy must focus on optimizing strategic alliances to greatly improve their competitive advantage. In addition, the government can driven strategic alliances while providing facilitation, support, and policies that encourage improvements in competitive advantage.