The growth of information and technology has given significant influence on the tourism industry and system, both positive and negative impacts. As of now, through social media, tourists and destinations or tourism attractions may interact with one another, monitor, and give opinions, as well as evaluate every form of service given firsthand, by various internet platforms. One of the heritage site tourism attractions that utilize social media in attracting tourists' interest is Kota Tua. This study aims to identify social media used by the Kota Tua tourism area manager as a media to promote; furthermore, this study compares the performance of each social media platforms. Also, this study examines the influence of social media toward tourist motivation in visiting Kota Tua Jakarta. The approach utilized in this study is quantitative with a descriptive method. Whereas the sampling technique used is incidental sampling with the number of involved respondents of 100 people. Gathered data is then analyzed through linear regression analysis method by using SPPS v.25.0 program. Linear regression analysis is conducted to see if there are any social media influences toward the tourist motivation of visit. This study has found that visitors that come to Kota Tua are mostly high school students, whereas the most frequently used type of social media to access information about Kota Tua is Instagram. The result of data analysis also shows that there is indeed a correlation between social media variable with the tourist motivation of visit to Kota Tua Jakarta. This study is expected to be a reference related to the role of social media for the tourism industry, especially historical heritage attractions. The limitations of this study are respondents who are limited and cannot represent or be generalized as domestic tourists in general (Indonesian scope).

The analysis model is validated using structured equation modeling (PLS-SEM) on datasets of both local and international trade exhibition attendees and the Indonesian halal business. Along with examining the model, this study will incorporate consumer satisfaction to validate the perceived quality factors conclusions. It is highlighted the importance of examining the relationship between perceived quality, value perception, satisfaction, and loyalty. We received 262 completed questionnaires in total. The structural models and measurements were examined using a combination of partial most minor (PLS) and structural equation techniques (PLS-SEM). Our empirical investigation supports the conceptual framework hypothesis by demonstrating that quality, value perception, and satisfaction consistently positively and significantly affect behavioral intent.