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Web Analytics: How VisitingJogja.com Used in Tourism Recovery Due to the COVID-19 Pandemic

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HCI International 2022 Posters (HCII 2022)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1582))

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Abstract

Visitingjogja.com, a website dedicated to restoring tourism in the Yogyakarta Special Region after the COVID-19 pandemic, is examined in this article. The presence of the COVID-19 pandemic has had a significant impact on the tourism sector. Digital tourism, which incorporates ICT, the internet of things (IoT), and artificial intelligence (AI), as well as other emerging technologies, is one way to revitalize the tourism industry (AI). This study employs a qualitative method and an exploratory research methodology to investigate the use of the website to create a digital tourism system. Web analysis using the rank watch software tool to collect data aid in the investigation. Web Analytics is a methodological study or technique used to collect, measure, report, and analyze illustrated websites based on sentiment analysis, grouping, and topic modeling. Use of Web Analytics to analyze website performance and optimize website usage. We use the Web Analytics analysis method to track organic keywords and analyze performance, activity, and traffic flow on the VisitingJogja.com website. The results of the analysis of the data findings show; 1) Website VisitingJogja.com performance is excellent to use; 2) The promotion strategy carried out by the Yogyakarta Special Region Tourism Office through the VisitingJogja.com website has become an effective information medium. 3) The activity of using the VisitingJogja.com website has not been maximally used as a tourism recovery strategy in the Special Region of Yogyakarta.

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Correspondence to Delila Putri Sadayi .

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Sadayi, D.P., Nurmandi, A., Muallidin, I., Purnomo, E.P., Kurniawan, D. (2022). Web Analytics: How VisitingJogja.com Used in Tourism Recovery Due to the COVID-19 Pandemic. In: Stephanidis, C., Antona, M., Ntoa, S. (eds) HCI International 2022 Posters. HCII 2022. Communications in Computer and Information Science, vol 1582. Springer, Cham. https://doi.org/10.1007/978-3-031-06391-6_53

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