PENGARUH BRAND IMAGE TERHADAP LOYALITAS WISATAWAN BERBELANJA DI TOKO OLEH-OLEH RAMA KRISNA TUBAN

Increasing number of tourist will directly give impact to the tourism supporting industrial sector, one of them is Balinese souvenir industry. There are many Balinese souvenir shops in Bali, which make a competition among them becomes more intense, so every company will try to give a better impression for the tourists and try to make them satisfied and make them to visit again. One of the famous Balinese souvenir shop is a souvenir shop of Rama Krisna Tuban. This research aims to determin the influence of Brand Image on tourist loyalty. Respondents in this study amounted to 185 respondents, sample selection using the Purposive sampling method, the data in the study was analyzed using multiple regression analyses assisted by the SPSS statistical version 17.0 for Windows. The results of this research there are three factors that forms the Brand Image and it was found that there was a significant influence between the strength of brand associations on tourist loyalty, there was a significant influence between favorability of brand associations on tourist loyalty, and there was a significant influence between uniqueness of brand associations on tourist loyalty).

The Analysis of Electronic Word of Mouth, Destination Image, and Visiting Decision on Satisfaction

The purpose of this study was to find out the influence of electronic word of mouth and destination image on satisfaction through the visiting decision to the visitors of Banjarejo Tourism Village. The population in this study were all visitors of the Banjarejo Tourism Village. The total of samples was 120 respondents with incidental sampling techniques through a Likert scale questionnaire. The data collection method used a questionnaire. Data analysis used classical assumption test and hypothesis test (t-test and path analysis) with SPSS 25 statistical version. The results showed that electronic word of mouth had a positive influence and significant on visitor satisfaction, destination image had a positive influence and significant on visitor satisfaction, visiting decision had a positive influence and significant on visitor satisfaction, and the visiting decision mediated the influence of electronic word of mouth and destination image on visitor satisfaction.

MOTIVASI WISATAWAN BERBAGI PENGALAMAN WISATA MELALUI INSTAGRAM

There are many photo posts or videos uploaded by tourists at Padang-Padang beach and make it an interesting phenomenon because travelers have shared their tourism experience to social media. The research aims to find out the motivation of tourists to share that travel experience. Respondents in this study amounted to 190 respondents, sample selection using the Purposive sampling method, data in the research was analyzed using factor analysis assisted by the SPSS statistical version 17.0 for Windows. The results of this study are: 1) the motivation of tourists to share travel experiences through Instagram social media at Padang-Padang beach in general is at good level. 2) based on the analysis of factors obtained the results that there are five motivational factors that motivate tourists to share travel experience through Instagram social media at Padang-Padang beach with the loading value factor of 32,154%. The results of this study can be suggested to the organizer to provide local tour guide who can inform more about Padang-Padang beach to tourists.

Some inequalities for statistical submanifolds of quaternion Kaehler-like statistical space forms

Motivated by one of the problems proposed by [Vilcu and Vilcu, Statistical manifolds with almost quaternionic structures and quaternionic Kaehler-like statistical submersions, Entropy 17 (2015) 6213–6228] in this paper, we study the statistical submanifolds of quaternion Kaehler-like statistical space forms and provide an answer to the problem. Further, we derive the statistical version of Chen inequality for totally real statistical submanifold in such ambient.

Some results on exhaustiveness in asymmetric metric spaces

We introduce here the notion of exhaustiveness, which is related with the notion of equicontinuity, in asymmetric metric spaces. We give the relation between equicontinuity and exhaustiveness in such spaces and some theorems and results about it. We show that in the asymmetric situation forward convergence does not imply backward convergence (or vice versa), the limit of a sequence of exhaustive functions may not be continuous, also may not be unique. Also, we prove a type of Ascoli theorem using the notion of exhaustiveness in the asymmetric case. Finally, following Caserta and Kocinac [3], we will investigate some properties of a statistical version of exhaustiveness in asymmetric metric spaces.

Is the Theory of Natural Selection a Statistical Theory?

In The Structure of Biological Science (Rosenberg [1985]) I argued that the theory of natural selection is a statistical theory for reasons much like those which makes thermodynamics a statistical theory. In particular, the theory claims that fitness differences are large enough and the life span of species long enough for increases in average fitness always to appear in the long run; and this claim, I held, is of the same form as the statistical version of the second law of thermodynamics.For the latter law also makes a claim about the long run, and its statistical character is due to this claim: thermodynamic systems must in the long run approach an equilibrium level of organization that maximizes entropy. Over finite times, given local boundary conditions, an isolated mechanical system, like the molecules in a container of gas, may sometimes interact so as to move the entropy of the system further from, instead of closer to the equilbrium level. But given enough interacting bodies, and enough time, the system will always eventually move in the direction prescribed by the law. Thus, we can attach much higher probabilities to the prediction that non-equilibrium systems will reflect greater entropy in future periods than we can to predictions that they will move in the opposite direction. And as we increase the amount of time and the number of bodies interacting, the strength of the probability we can attach to the prediction becomes greater and greater.