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search engines based on the correlation between website findability based on Google traffic rank with website characteristics based on the
number of Internal Link, External Link, Google Indexed Pages, and Total Daily Page Views on a website. This research uses content analysis
which is a method for collecting and analyzing website content
According to Onaifo and Rasmussen (2013), the content analysis approach on the web will be utilized in four steps to support this
study. In the first step, the aims and objectives of the research are conducted. In this study, the objective of content analysis is to evaluate
correlation website findability based on Google traffic rank with website characteristics based on the number of Internal Link, External Link,
Google Indexed Pages, and Total Daily Page Views. The second stage is to select the sample to be used in this study, which a hotel that have
official website that able to analyze on web analytical tools. In the third stage, data is collected from web analytical tools, such as alexa.com,
seoquake.com, websiteoutlook.com. In the fourth step, the collected data will analyze and evaluate by the researcher.

4.0 DATA ANALYSIS

4.1 PROFILE OF VARIABLE
Table 4.1 presented the frequency, percentage of all the variables in this research; includes Hotel’s website, number of Global
Traffic Rank, Internal Link, External Link, Total Daily Page Views, and Google Indexed Pages. From 263 Hotel in Province Bali, Indonesia
that are surveyed, only 203 hotels that have official websites. For the global traffic rank, there is (53.23%) valid to be analyzed. In terms of
website reputation on Internal link, there is (75.7%) valid to be analyzed, while the external link is only (74.14%). Next, the google indexed
pages have (74.14%) that able to be analyzed. And then there is (53.99%) websites can be analyzed from the website analytic tools. In
conclusion, there is 132 hotels’ websites that can be analyzed.

Profile of Variable Frequency Percentage (%) Valid Not Valid
Hotel Website 203 77.19 203 60
Global Traffic Rank 140 53.23 140 123
Internal Link 199 75.7 199 64
External Link 195 74.14 195 68
Google Indexed Pages 195 74.14 195 68
Total Daily Page Views 142 53.99 142 121
Valid Hotels Websites = 132 websites

Table 4.1: Profile of Hotels’ Websites

4.2 DESCRIPTIVE ANALYSIS

Table 4.2: Descriptive Analysis

The metrics of descriptive statistic and variation of the variables in the population evaluated throughout this research are shown in
Table 4.2. Some of the hotels' global traffic rankings were weak, shown by their top ranks. A few of the websites were scored quite well,
while the majority of the websites were ranked low. For instance, the highest-ranking hotel website was placed 524th worldwide, while the
websites were ranked 3,134,074th worldwide on average. The statistics for the global traffic ranking is similarly very variable, with a standard
deviation of 3,028,879. With the exception of some websites, the hotels' websites obtained a really poor reputation rating. The websites get
an average of 83 internal links. The statistics for reputation score similarly reveal a substantial diversity on a standard deviation of 128, with
a website having 1450 internal links and the lowest having 4. On the other hand, hotel websites get a poor reputation since the average
number of external links obtained by a website is 21, with a standard deviation of 16. The most external links are 96, while the lowest are 1.
Table 4.2 provides descriptive statistics regarding the number of hotel websites that Google has indexed. Google indexes an average of
18,849 pages for each hotel website. On the other hand, the lowest number of hotel pages indexed by Google is 1,000, and the largest number

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