NYEPI HOLIDAY PACKAGE:


E-Journal of Tourism Vol.2. No.2. (2015): 68-73 

 

http://ojs.unud.ac.id/index.php/eot  68  e-ISSN: 2407-392X.  p-ISSN: 2541-0857  

Popularity of Tourist Attraction in Bali 

From the Perspective of Foreign Tourists 

 
 I Nyoman Sudiarta 

 
Faculty of Tourism, Udayana University 

Corresponding author: sudiarta.nyoman@yahoo.co.id 

 

ARTICLE INFO 

 

 
Received  

27 February 2015  

Accepted   

11 August 2015 

Available online  

07 September 2015  

 

 

 

 

ABSTRACT 

 

This study aims to determine the popularity of tourist attraction in Bali, the 

position of a tourist attraction in Bali Respondents in this study were foreign 

tourists visiting Bali, the number of samples taken by 100 respondents by 

purposive sampling. Analysis of data using descriptive and statistical analysis 

of multidimensional scaling. The most popular attraction by tourists are Kuta, 

Sanur, Nusa Dua, Jimbaran, Tanah Lot and Ubud. Group tourist attraction in 

Bali positioned into four quadrant and two-dimensional. Dimension 1 is the 

tourist attractions that have many similarity or close competitors and 

dimension 2 is illustrates attraction that has a lot of differences or distant 

competitors. 

 

Keywords: position, attraction, Bali, foreign tourist, multidimensional scaling 

analysis.

 

Introduction 

 
  The era of globalization is interpreted 

vary by academics and practitioners of 

tourism. Globalization on the one hand is 

believed to have a positive impact on the 

sustainability of a tourist attraction. However 

there who believe the era of globalization 

impacting negative for more open competition. 

Bali as part of the tourism destinations in 

Indonesia became one of the destinations that 

have a diversity of attractions, ranging from 

culture, nature and a combination of both.  

 

 Bali has 16 tourist destinations and has 

more than 150 attractions are spread evenly 

throughout in all regency and city in Bali. 

(Bali Provincial Regulation No. 16 Year 2009, 

2009). Although it has many tourist 

attractions, but the number of visits at each 

tourist attraction varied. 10 The appeal which 

was visited by the highest according to the 

department of tourism province of Bali in 

2015 is Tanah Lot 3 million more tourists, 

foreign and domestic, Followed tourist 

attraction Ulu watu as many as 1.1 million 

tourists, Ulun Danu as many as 735 thousand 

tourists, Kintamani only 500 thousand tourists 

in a year. Botanical Garden in Bedugul visit as 

many as 463 thousand tourists, Tirta Empul 

visited by 443 thousand, Hot Water Banjar as 

many as 303 thousand in Singaraja. Bali Safari 

Park is only 300 thousand and Goa Gajah in 

Gianyar was visited 286 thousand foreign and 

domestic tourists in 2015.  

 

 Fluctuations visit the tourist attraction can 

be a sign of competition between attraction 

and perception of diverse travelers against the 

major tourist attraction. Business travel appeal 

is required to be able to implement a strategy 

to maintain and even increase tourist visits and 

study the behavior of tourists through their 

perception of the power of a tourist attraction. 

Various strategies are used academics and 

practitioners such as improving the quality of 

service, increase customer satisfaction and 

loyalty, enhancing the image of tourism 

destinations (Crompton, 1979; Baker and 

Crompton, 2000; Chen and Tsai, 2007; 

Mohamed et al., 2009; Alegre and Garau, 

2010; Li, 2011), as well as failure recovery 

services (Nikbin et al., 2010; Lo et al., 2012; 

Sudiarta, Suardana and Ariana, 2014b). 



E-Journal of Tourism Vol.2. No.2. (2015): 68-73 

 

http://ojs.unud.ac.id/index.php/eot  69  e-ISSN: 2407-392X.  p-ISSN: 2541-0857  

Research of competitive position and using 

multidimensional scaling analysis conducted 

by some researchers (Shaw, 1992; Power, 

Haberlin and Foley, 2005; Mohamed et al., 

2009; Njuguna, 2009; Sudiarta, Suardana and 

Ariana, 2014a). But there is still little that 

examines the competitive position of a tourist 

attraction, especially tourist attraction islands, 

such as Bali (Sudiarta, Suardana and Ariana, 

2014a).  

 

Methodology 

 

       The design of the sample in this study 

using a non-probability sampling, (Malhotra, 

2010). The sampled population are foreign 

tourists, from three continents, namely: (1). 

Europe, (2) American, and (3) Asia because 

they are considered to represent the population 

of the fifteen countries of origin of tourists 

who come to Bali. This research was 

conducted in Bali, on 12 tourist attraction 

(Kuta, Tanjung Benoa, Jimbaran, Nusa Dua, 

Sanur, Medewi, Tanah Lot, Ubud, Kintamani, 

Lembongan, Tulamben and Lovina. Tourists 

who are targeted samples were tourists who 

visit and considered know the tourist attraction 

in Bali. The variables in this study to adapt 

and adopt the results of previous studies 

(Echtner and Ritchie, 1991; Mill and 

Morisson, 2009; Mohamed et al., 2009), 

which can be seen from the aspect (1)  tourist 

atttractions (2) facilities, (3) Infrastructure, (4) 

Cost or price and (5) the hospitality of the 

people.  

 

 After checking and tabulation of data, 

then analysed using multivariate analysis, 

namely Multidimensional scaling (MDS) and 

correspondence Analysis or CA (Hair et al., 

1995). Multidimensional scaling (MDS) is 

also known as perceptual mapping procedure 

which provide the opportunity for researchers 

to specify the relative perception of an object 

such as company, product, idea, or a variety of 

items associated with perception (Hair et al., 

1995). The goal of MDS is ratings about the 

similarities and preferences of tourists in a 

multi-dimensional scale. MDS can be used as 

a strategy to market a tourist attraction based 

on the similarities and differences and 

preferences of travelers (Kotler, 2000; Kotler, 

Keller and Lu, 2009; Kotler, Bowen and 

Makens, 2010; Sudiarta, Suardana and Ariana, 

2014a). 

Results and Discussion 

 

 Results and analysis of the study were 

divided into two, namely: a descriptive and 

statistical analysis. Descriptive analysis 

includes: gender, level of education, the period 

of the visit and the popularity tourist 

attractions in Bali. Analysis statistical used 

Multidimensional scaling (MDS). 

 

Characteristics of Respondents  

 

      Among the respondents, the results show 

that the higest percentage of respondents were 

Australian (25%), followed by Chinese (12%), 

Malaysian and Japanese (6%), Singapore, 

South Korea, French and Taiwanese (4%).  

American and German as well as Indian, 

Dutch, Rusiian and New Zealand represented 

the lowest percentage, i.e., 3% and 2%  

respectively (see Figure 1). 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Figure 1. Nationality of foreign tourist visiting 

Bali (source: primary reseacrh, 2014) 

 

Sex 

 

        Of the 100 respondents, 68.7% were male 

and 31, 3 % female, a difference of 37.4 %. 

This suggests that male tourists to Bali 

outnumbered males by a ratio of 7:3 

 

Education  

 

       Type of education respondents who 

visited the 12 tourist attraction in Bali are 

mostly high school educated (56%), followed 

by postgraduate degree 19 percent, 16 percent 

of Diplome three 3 years and doctoral degree 

about 8.7 percent.  

 

 

0
20
40
60
80

100

A
u

st
ra

li
a

n

M
a

la
y

si
a

S
in
g
a
p
o
re
…

F
re

n
ch

A
m

e
ri

ca
n

In
d

ia
n

R
u

ss
ia

n

T
o

ta
l

25 12 6 6 
4 4 4 4 3 3 2 2 2 2 

100 

Nationality of foreign tourist visiting 
Bali 

Percen…



E-Journal of Tourism Vol.2. No.2. (2015): 68-73 

 

http://ojs.unud.ac.id/index.php/eot  70  e-ISSN: 2407-392X.  p-ISSN: 2541-0857  

Period of visit  

 

      Periods of tourist arrivals in outline can be 

divided into two parts, namely, first-time visits 

and return visits. More than 80 percent 

Foreign Tourists visiting Bali are those who've 

never been to Bali. Only 12 percent of tourists 

who visit the tourist attraction in Bali was their 

first visit. The second visit until the third time 

it reaches 20 percent. More than 50 percent of 

respondents have been more than 5 times. This 

means that Bali is a major tourist destination 

and a second home for them.  

 

Popularity of Tourist Attractions in Bali  

 

 Based on the questionnaire given to 

respondents in 12 major tourist attraction in 

Bali, 100 respondents stated his views as 

follows: Kuta, Sanur, Nusa Dua and Jimbaran 

is a tourist attraction that most known and 

visited by foreign tourists. I call the most 

popular tourist attraction. Tourist attraction 

that is not widely known by foreign tourists is 

Medewi Beach is located in the district of 

Jembrana. The location is far from city center 

Denpasar and Kuta as an exotic tourist 

attraction in Bali. Lack of promotion and 

information one of the causes of the lack of 

information and knowledge rating of Medewi 

Beach. As presented in Table 1. 

 

Table 1.  Foreign Tourist Knowledge of 

Tourists Attractions in Bali 

Name of 

Tourist 

Attractions 

Amount Percentages Rangkings 

Kuta 100 100 1 

Medewi 45 30,0 9 

Tanah Lot 98 98. 7 3 

Tanjung 

Benoa 

97 95. 3 4 

Nusa Dua 99 99. 3 2 

Jimbaran 99 99. 3 2 

Sanur 100 100 1 

Ubud 98 98, 7 3 

Lembongan 88 58,.7 7 

Kintamani 73 48. 7 8 

Tulamben 96 94.0 5 

Lovina 95 82. 7 6 

                Source:  Primary data, 2014 
 
 
 

Multidimensional Scaling (MDS) analysis 

 

 MDS is one of multivariate techniques 

to analyze the relationship of interdependence 

or interrelationship between variables (Hair et 

al., 1995). The software which is currently 

used for the analysis of SPSS with ability 

MDS is making ALSCAL and INDSCAL. The 

range of steps in the analysis of MDS include 

1) the problem formulation, 2) the input data, 

the similarity and dissimilarity value of the 

object is assessed, 3) the selection procedures 

in the form of data MDS metric and non-

metric, 4) the determination of dimensions 

based on research- previous studies, 5) giving 

the name of the group or configuration and 6) 

test the validity and reliability by using the 

value of Stress and R -Square.  

 

 MDS analysis is used to determine the 

competitive position of tourist attraction to 

other tourist attraction. Kuta in this case 

compared to 23 other tourist attractions. 

Dimension 1 depicts a tourist attraction has 

much in common with others tourist 

attractions. Meanwhile, the second dimension 

describes the position of a tourist attractions 

that has a different or far from each other. 

Based on the research described the position of 

tourist attraction in the four quadrants.  

 

 Group tourist attraction that exist in the 

quadrant are: Kuta, Ubud, Tanah Lot and Nusa 

Dua. Segment tourist attraction is competing 

with other groups that are in quadrant II, III 

and IV. Quadrant nearest competitor group is 

an attraction in quadrant II, followed by a 

tourist attraction in quadrant IV and III. Group 

of tourist attractions in quadrant II is Medewi 

Beach, Tanjung Benoa and Jimbaran. The 

nearest competitor tourist attraction in this 

quadrant are quadrant I and II as well as 

competitors furthest is a tourist attraction in 

quadrant IV. Group tourist attraction in 

quadrant III is a tourist attraction Lembongan, 

Lovina and Sanur. Group tourist attraction will 

compete with some of the tourist attraction 

located in quadrant IV, namely Tulamben and 

Kintamani, tourist attraction will also compete 

with the major tourist attraction in quadrant II 

and the farthest is in quadrant IV.  

 

 While groups of tourist attraction in 

quadrant IV are a tourist attraction Tulamben 

and Kintamani, a tourist attraction it is a close 



E-Journal of Tourism Vol.2. No.2. (2015): 68-73 

 

http://ojs.unud.ac.id/index.php/eot  71  e-ISSN: 2407-392X.  p-ISSN: 2541-0857  

1.51.00.50.0-0.5-1.0-1.5

Dimension 1

1.5

1.0

0.5

0.0

-0.5

-1.0

-1.5

D
im

e
n

s
io

n
 2

Lovina
Tulamben

Kintamani

Lembongan.island

Ubud

Sanur

Jimbaran

Nusa.Dua

Tanjung.Benoa

Tanah.Lot

MedewiKuta

Individual differences (weighted) Euclidean distance model

Derived Stimulus Configuration

competitor of the tourist attraction in a row 

Sanur, Lovina and lembongan, three is a 

tourist attraction that offers water. Why 

compete with the Kintamani tourist attraction 

that offers water attractions. Tourists move or 

relocate in other tourism destinations because 

of several factors such as the quality of tourist 

attraction, satisfaction, satisfaction post-

recovery services, as well as the image of the 

tourist attraction. Kintamani within the last 5 

years the negative spotlight for a few things 

like cleanliness, parking and also the 

friendliness of the local guides especially by 

street vendors. It is possible that tourist shift to 

another tourist attraction. AS presented in 

Figure 2.  

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Figure 2. Position of  Tourists Attractions in 

Bali 

 

 

Conclusion and Recommendation 

 

Conclusion      

 

   Based on the research objectives, namely 

to determine the popularity of a tourist 

attraction, determine the position of each 

tourist attractions in Bali. Kuta, Sanur, Nusa 

Dua, Jimbaran Tanah Lot and Ubud are the 

most populer tourists’ atractions acoording to 

the foreign tourists. Position tourist attraction 

can be described with two dimensions: one 

dimension is an attraction that has a lot of 

similarities and a second dimension is the 

attraction that has many differences. Medewi 

Beach, Tanjung Benoa and Jimbaran are 

groups that has many similarities and also as a 

close competitor.  

Recommendations 

 

After knowing the position of 

competitors then the next step is to determine 

the strategy being used either as a leader or a 

follower. Because each a tourist attraction in 

Bali has similar potency, namely the the 

potential of nature, culture and a combination 

of both. So the strategy that can be done is by 

means of improve infrastructure, increase the 

service satisfaction and of service recovery in 

the event of complaints as well as to build the 

image of a tourist attraction and satisfaction 

through the quality of service recovery (Baker 

and Crompton, 2000; Saha and Theingi, 2009; 

Alegre and Garau, 2010; Sudiarta, Suardana 

and Ariana, 2014b). 

 

Limitations 

 

 Each study has limitation. This study 

has limitations because it does not compare 

with the respondent tourists, which may have 

similarities or differences with this research. 

Future research is expected to complement the 

weakness of this study. MDS analysis does not 

provide a solution strategy, so it needs to be 

supplemented with the analysis such as the 

analysis of the correspondent so that it can be 

seen each tourist attraction competed in 

several indicators, such as culture, technology 

and so on. 

 

 

References 

 

 

Alegre, J. and Garau, J. (2010) ‘Tourist 

satisfaction and dissatisfaction’, 

Annals of tourism research. Elsevier, 

37(1), pp. 52–73. 

 

Baker, D. A. and Crompton, J. L. (2000) 

‘Quality, satisfaction and behavioral 

intentions’, Annals of tourism 

research. Elsevier, 27(3), pp. 785–

804. 

 

Bali Provincial Regulation No. 16 Year 2009 

(2009) ‘Bali Provincial Regulation 

No. 16 Year 2009 on Spatial Planning 

of Bali Province Year 2009-2029.’ 

 

 

 



E-Journal of Tourism Vol.2. No.2. (2015): 68-73 

 

http://ojs.unud.ac.id/index.php/eot  72  e-ISSN: 2407-392X.  p-ISSN: 2541-0857  

Chen, C.-F. and Tsai, D. (2007) ‘How 

destination image and evaluative 

factors affect behavioral intentions?’, 

Tourism management. Elsevier, 28(4), 

pp. 1115–1122. 

 

Crompton, J. L. (1979) ‘An assessment of the 

image of Mexico as a vacation 

destination and the influence of 

geographical location upon that 

image’, Journal of travel research. 

Sage Publications Sage CA: Thousand 

Oaks, CA, 17(4), pp. 18–23. 

 

Echtner, C. M. and Ritchie, J. R. B. (1991) 

‘The meaning and measurement of 

destination image’, Journal of tourism 

studies, 2(2), pp. 2–12. 

 

Hair, J. F., Anderson, R. E., Tatham, R. L. and 

Black, W. C. (1995) ‘Multivariate 

Data Analysis with Readings, Prentice 

Hall Englewood Cliffs’, NJ Google 

Scholar. 

 

Kotler, P. (2000) ‘Marketing Management: 

Millennium Edition’. Pearson 

Education North Asia Limited. 

 

Kotler, P., Bowen, J. T. and Makens, J. C. 

(2010) Marketing for Hospitality and 

Tourism (Fifth Edition). New Jersey: 

Pearson Prentice Hall. 

 

Kotler, P., Keller, K. L. and Lu, T. (2009) 

Marketing management in China. 

Prentice Hall. 

 

Li, W. (2011) ‘Study of service recovery of 

travel agency based on customer 

satisfaction’, in International 

Conference on Economics and 

Finance Research, pp. 545–548. 

 

Lo, M.-C., Mohamad, A. A., Songan, P. and 

Yeo, A. W. (2012) ‘Rural tourism 

positioning strategy: a community 

perspective’, in International 

Conference on Economics Marketing 

and Management, Singapore. 

Retrieved from www. ipedr. 

com/vol28/5-ICEMM2012-T00022. 

pdf. 

 

 

Malhotra, N. K. (2010) ‘Basic Marketing 

Research: application to contemporary 

issues (International edition). Canada’. 

Prentice Hall International. Inc. 

 

Mill, R. C. and Morisson, A. M. (2009) The 

Tourism System. The United States of 

America: Kendall Hunt Publising 

Company. 

 

Mohamed, B., Omar, S. I., Muhibudin, M. and 

Shamsudin, N. (2009) ‘Measuring The 

Malaysian Tourism Competitiveness 

of Cities Through The Application of 

Multi dimentional Scaling Analysis’, 

in Emerging Trends in Tourism and 

Hospitality, pp. 230–239. 

 

Nikbin, D., Ismail, I., Marimuthu, M. and 

Jalalkamali, M. (2010) ‘Perceived 

justice in service recovery and 

recovery satisfaction: the moderating 

role of corporate image’, International 

Journal of Marketing Studies, 2(2), p. 

47. 

 

Njuguna, J. I. (2009) ‘Strategic positioning for 

sustainable competitive advantage: an 

organizational learning approach’, 

KCA Journal of Business 

Management. KCA University, 2(1). 

 

Power, J., Haberlin, D. and Foley, A. (2005) 

‘Developing The Positioning of The 

Irish Rural Tourism Product–The Role 

of Image and Market Focus’. 

 

Saha, G. C. and Theingi (2009) ‘Service 

quality, satisfaction, and behavioural 

intentions: A study of low-cost airline 

carriers in Thailand’, Managing 

Service Quality: An International 

Journal. Emerald Group Publishing 

Limited, 19(3), pp. 350–372. 

 

Shaw, M. (1992) ‘Positioning and price: 

merging theory, strategy, and tactics’, 

Hospitality Research Journal. Sage 

Publications Sage CA: Thousand 

Oaks, CA, 15(2), pp. 31–39. 

 

 

 

 

 



E-Journal of Tourism Vol.2. No.2. (2015): 68-73 

 

http://ojs.unud.ac.id/index.php/eot  73  e-ISSN: 2407-392X.  p-ISSN: 2541-0857  

Sudiarta, I. N., Suardana, I. W. and Ariana, N. 

(2014a) ‘Multidimensional Scaling: 

Bali Tourism Destination Marketing 

Strategy’, Journal Ilmiah Hospitality 

Management, 5(1), pp. 13–24. 

 

Sudiarta, I. N., Suardana, I. W. and Ariana, N. 

(2014b) ‘Positioning of tourist 

attraction in Bali from the perspective 

of domestic tourist’, in Proceedings of 

the 5 th International Tourism Studies 

Association Conference: Tourism, 

Cities and the environment in the 

Asian Century. The Department of 

Park and Wildlife Perth Western 

Australia.