Analysis of Tripadvisor Acceptance in Indonesia using Technology

Acceptance Model 2: Case Study of E-Ticketing in Solid Travel

Consumers

Rizki Annisa Putri

, Dwi Kartikasari

Applied Business Administration, Politeknik Negeri Batam

Department Business Management, Batam, Indonesia

Jl. Ahmad Yani, Batam Centre 29461, Indonesia

Keywords: Solid Travel, E-Ticketing, TripAdvisor, Technology Acceptance Model 2

Abstract: This study is aimed to determine the Acceptance of E-Ticketing on TripAdvisor in Solid Travel Batam. The

respondents of this research were Solid Travel consumers who have made transactions using the e -ticketing

system on TripAdvisor. The sample size for this study was 260 respondents. The sampling technique using

the purposive sampling method with the Slovin formula. In this research, data were collected through

questionnaires given to respondents through the google form link. This research used the descriptive

method. This method is done by using the Validity Test, Reliability Test, Linearity Test, and SEM (Structural

Equation Model) Test. The results of this study are all variables in the TAM 2 (Technolog y Acceptance

Model 2) model correlate with each other.

1 INTRODUCTION

1.1 Background

In this digital era, the internet has become such a

necessity for everyday life. It has also led to many

great advancements for modern businesses, including

travel businesses. The use of the internet and

technology make things much easier.

The competition in the travel industry is not only

about the products, but also the services offered to the

consumer. One of the most impactful ones is e-

Ticketing service. E-Ticketing allows the consumer to

do everything online, whether it's on a website or a

mobile APP. The consumer can book a ticket anytime,

anywhere. Since everything is done online (online

booking), the consumer will get an electronic ticket

(e-Ticket) instead of a paper ticket. An e-Ticket is a

record of a booking which contains all the same

information that a paper ticket has on it. But instead

of being physically printed, it's stored in the computer

system. It is basically the equivalent of the old style

paper ticket, except with e-Tickets, the consumers no

longer have to worry about losing their ticket.

One of the companies in the travel industry that

offers e-Ticketing service is Solid Travel. This

company is located in Batam and provides travel and

tourism-related services packages in the city and ferry

tickets for Singapore to/from Batam. Since not all of

its consumers is from Batam City, even those who are

from the city sometimes just don't have time to come

to the office to make a booking. So the e- Ticketing

service really helps the consumer to make things

easier. Solid Travel is also quite active in promoting

its products and services on TripAdvisor so more

consumers make bookings there. For that reason, the

author wants to make an analysis of consumer

acceptance of the e-Ticketing system on TripAdvisor.

Unfortunately, up to this point not every consumer

is lucky enough to have access or knows how to take

full advantage of the internet, including the e-

Ticketing system. According to the research, there are

also some risks of using eTicket that might get the

consumer some trouble, such as internet connection

problems, data loss, run out of phone's battery, etc. In

order to achieve the objectives of implementing e-

ticketing, an evaluation is needed to assess the

acceptance of the e-ticketing system. Add to this the

use of E-Ticketing that is not yet in great demand by

customers due to the unstable level of user visits

(Alhabsyi et al., 2018).

282

Putri, R. and Kartikasari, D.

Analysis of Tripadvisor Acceptance in Indonesia using Technology Acceptance Model 2: Case Study of E-Ticketing in Solid Travel Consumers.

DOI: 10.5220/0010354902820290

In Proceedings of the 2nd International Conference on Applied Economics and Social Science (ICAESS 2020) - Shaping a Better Future Through Sustainable Technology, pages 282-290

ISBN: 978-989-758-517-3

Therefore the researcher raised the title

"ANALYSIS OF TRIPADVISOR ACCEPTANCE

IN INDONESIA USING TECHNOLOGY

ACCEPTANCE MODEL 2: CASE STUDY OF E-

TICKETING IN SOLID TRAVEL CONSUMERS"

1.2 Problem Formulation

The formulation of the problem that can be found in

the background above is as follows:

1. Does subjective norms have a significant effect

to user image of the E-Ticketing system on

TripAdvisor?

2. Does image have a significant effect to user

perceived usefulness of the E-Ticketing system

on TripAdvisor?

3. Does job relevance have a significant effect to

user perceived usefulness of the E-Ticketing

system on TripAdvisor?

4. Does output quality have a significant effect to

user perceived usefulness of the E-Ticketing

system on TripAdvisor?

5. Does result demonstrability have a significant

effect to user perceived usefulness of the E-

Ticketing system on TripAdvisor?

6. Does subjective norms moderated by

experience have a significant effect to user

perceived usefulness of the E-Ticketing system

on TripAdvisor?

7. Does subjective norms moderated by

experience have a significant effect to user

intention to use of the E-Ticketing system on

TripAdvisor?

8. Does subjective norms moderated by

voluntariness have a significant effect to user

intention to use of the E-Ticketing system on

TripAdvisor?

9. Does perceived ease of use have a significant

effect to user perceived usefulness of the E-

Ticketing system on TripAdvisor?

10. Does the perceived usefulness have a significant

effect to user intention to use of the E-Ticketing

system on TripAdvisor?

11. Does perceived ease of use have a significant

effect to user intention to use of the E-Ticketing

system on TripAdvisor?

12. Does intention to use have a significant effect to

user usage behavior of the E-Ticketing system

on TripAdvisor?

1.3 Research Purpose

The research purpose to be achieved are as follows:

1. To be able to know the significant effect of

subjective norm with user image of the E-

Ticketing system on TripAdvisor.

2. To be able to know the significant effect of

image with user perceived usefulness of the E-

Ticketing system on TripAdvisor.

3. To be able to know the significant effect of job

relevance with user perceived usefulness of the

E-Ticketing system on TripAdvisor.

4. To be able to know the significant effect of

output quality with user perceived usefulness of

the E-Ticketing system on TripAdvisor.

5. To be able to know the significant effect of

result demonstrability with user perceived

usefulness of the E-Ticketing system on

TripAdvisor.

6. To be able to know the significant effect of

subjective norms moderated by experience with

user perceived usefulness of the E-Ticketing

system on TripAdvisor.

7. To be able to know the significant effect of

subjective norms moderated by experience with

user intention to use of the E-Ticketing system

on TripAdvisor?

8. To be able to know the significant effect of

subjective norms moderated by voluntariness

with user intention to use of the E-Ticketing

system on TripAdvisor.

9. To be able to know the significant effect of

perceived ease of use with user perceived

usefulness of the E-Ticketing system on

TripAdvisor.

10. To be able to know the significant effect of

perceived usefulness with user intention to use

of the E-Ticketing system on TripAdvisor?

11. To be able to know the significant effect of

perceived ease of use with user intention to use

of the E-Ticketing system on TripAdvisor?

12. To be able to know the significant effect of

intention to use with user behavior of the E-

Ticketing system on TripAdvisor?

1.4 Benefit of Research

Based on the above research, as a result that can be

implemented as well as beneficial for the parties

concerned in it, the following research benefits can

be implemented as follows:

a. Practical benefits,

The practical benefits is to provide advice to relevant

institutions and to improve the management strategy

of the E-Ticketing system at Solid Travel.

Analysis of Tripadvisor Acceptance in Indonesia using Technology Acceptance Model 2: Case Study of E-Ticketing in Solid Travel

Consumers

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b. Theoretical Benefits,

The theoretical benefits is expected to find out the

interests and behavior of customers when using the

e-ticketing system on TripAdvisor on Solid Travel

and being an input related to existing learning system

about user acceptance of technology, especially on the

e-ticketing system in Indonesia and also the results of

this study is expected to provide recommendations to

organizations with the aim of developing the use of e-

tickets and providing guidance or input for researchers

of similar objects.

2 REVIEW OF LITERATURE

2.1 Theoretical Review

1. TripAdvisor

TripAdvisor is an online travel company that

operates a website and mobile app with user-

generated content, a comparison shopping website,

and offers online hotel reservations as well as

bookings for transportation, lodging, travel

experiences, and restaurants.

2. E-Ticketing

E-ticketing is an electronic ticket or the digital ticket

equivalent of a paper ticket. The term is most

commonly associated with airline issued tickets.

3. Technology Acceptance Model 2

TAM 2 is a theory of acceptance of information

technology systems designed to explain how users

use and understand an information technology

system. The original TAM construct made is

perceived usefulness, perceived ease of use, and

user intention to use and then they added some

external constructs experience and voluntariness

(Venkatesh & Davis, 2000).

2.2 Research Accomplished

1. Research from M. I. Alhabsyi (2017) under the

title Analisis Penerimaan Website E- Ticketing

Menggunakan TAM 2 Pada Perusahaan KAHA

Tours & Travel and the result in research is

Perceived of Use affects User Intervention.

2. Research from Sri Endarwati, Ningsih, & Utami

(2011) under the title Analisis Penerimaan

Pengguna E-Ticketing Dengan Pendekatan

Technology Acceptance Model (TAM) pada

Perusahaan Penerbangan di Wilayah Yogyakarta

and the result in research is e-ticketing users are

still very low.

3. Research from Dyna S (2011) under the title

Technology Acceptance Model of Mobile

Ticketing and the result in is prior experience,

perceived usefulness, trust, has a positive effects

on the intention to use.

2.3 Conceptual Framework

Figure 1 Conceptual Model Technology Acceptance

Model 2

• Hypothesis 1 = Subjective norm expected has a

significant effect on user image of the E-Ticketing

system on TripAdvisor.

• Hypothesis 2 = Image expected has a significant

effect on user perceived usefulness of the E-

Ticketing system on TripAdvisor.

• Hypothesis 3 = Job relevance expected has a

significant effect on user perceived usefulness of

the E-Ticketing system on TripAdvisor.

• Hypothesis 4 = Output quality expected has a

significant effect on user perceived usefulness of

the E-Ticketing system on TripAdvisor.

• Hypothesis 5 = Result demonstrability expected

has a significant effect on user perceived

usefulness of the E-Ticketing system on

TripAdvisor.

• Hypothesis 6 = Subjective norm moderated with

experience expected has a significant effect on

user perceived usefulness of the E-Ticketing

system on TripAdvisor.

• Hypothesis 7 = Subjective norm moderated with

experience expected has a significant effect on

user intention of use of the E-Ticketing system on

TripAdvisor.

• Hypothesis 8 = subjective norm moderated with

voluntariness expected has a significant effect on

user intention to use of the E-Ticketing system on

TripAdvisor.

• Hypothesis 9 = Perceived ease of use expected has

a significant effect on user intention to use of the

E- Ticketing system on TripAdvisor.

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284

• Hypothesis 10 = Perceived usefulness expected

has a significant effect on the intention of users of

the E- Ticketing system.

• Hypothesis 11 = Perceived ease of use of

information systems has a positive effect on user

intention to use of the E-Ticketing system on

TripAdvisor.

• Hypothesis 12 = Intention to use has a positive

effect on user usage behavior of the E-Ticketing

system on TripAdvisor.

3 METHOD OF RESEARCH

3.1 Research Design

This thesis will use quantitative research. This

research is quantitative because the data from this

study are in the form of numbers and the analysis

will be conducted using a statistical program

(Sugiyono, 2013).

3.2 Research Focus and Subjects

The focus of researchers in this study is the customer

of Solid Travel. The subjects of this research are the

customer of Solid Travel who have made transactions

using the e-ticketing system on TripAdvisor.

3.3 Data Collection Techniques

This study uses data collection techniques in

questionnaire. The questionnaire created with a list

of structured questions with multiple choice

questions. This questionnaire will be the source of

data that can be used for data analysis material. The

answer to each question will be measured on a Likert

scale, which is a scale that has gradations from very

positive to negative (Likert, 1932). The survey will

be conducted online and will be uploaded at

https://docs.google.com/forms so that the data

collected can be structured.

4 RESULT AND DISCUSSION

4.1 Result

In this chapter the researcher will describe the data

and the results of research on the problems that have

been formulated in Chapter I.

4.4.1 Validity Test

Validity test is used to calculate the correlation value

of each question item with the total score using

SPSS. The question items will show significant

results at values less than 0.01. In this study N

=260, then df = N (260)-2 = 258. df 258 = 0.159.

Decision making is measured if r Calculate

(Corrected Item-Total Correlation) is higher than r

Table that is equal to 0.159. Basic decision making,

r Calculate> r Table then the variable is said to be

valid r Calculate <r Table then the variable is invalid.

Table 1: Validity Test

Variable r Calculate r Table Validation

Subjective Norm

X1.1 0,665 0,159 Valid

X1.2 0,792 0,159 Valid

Image

X2.1 0,811 0,159 Valid

X2.2 0,780 0,159 Valid

X2.3 0,606 0,159 Valid

Job Relevance

X3.1 0,811 0,159 Valid

X3.2 0,748 0,159 Valid

Output Quality

X4.1 0,781 0,159 Valid

X4.2 0,791 0,159 Valid

Result Demonstrability

X5.1 0,849 0,159 Valid

X5.2 0,758 0,159 Valid

X5.3 0,802 0,159 Valid

Perceived Usefulness

Y1.1 0,800 0,159 Valid

Y1.2 0,807 0,159 Valid

Y1.3 0,844 0,159 Valid

Perceived Ease Of Use

Y2.1 0,833 0,159 Valid

Y2.2 0,825 0,159 Valid

Y2.3 0,860 0,159 Valid

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Intention To Use

Y3.1 0,873 0,159 Valid

Y3.2 0,886 0,159 Valid

Usage Behavior

Y4.1 0,789 0,159 Valid

Y4.2 0,802 0,159 Valid

Experience

Z1.1 0,762 0,159 Valid

Z1.2 0,825 0,159 Valid

Voluntariness

Z2.1 0,804 0,159 Valid

Z2.2 0,669 0,159 Valid

4.4.2 Reliability Test

Measurements in the reliability test of this study were

done by measuring once by combining all the

variables to be tested for reliability by using SPSS

version 16. The test results were declared reliability

if Cronbach's Alpha statistical reliability values >

0,60.

Table 2: Reliability Test

Total Value Test

Cronbach’s

Alpha

Result

0,974 0,6 Reliable

4.4.3 Linearity Test

Linearity test is used to determine whether two

variables have a significant linear relationship or not.

Linearity testing by way of linear regression using

SPSS and variable advance has passed the test of

validity and reliability. It is stated that it passed the

linearity test if the value of Significant Linearity is

<0,05.

Table 3: Linearity Test

Variable

Name

Significant

Linearity

Expected

Value

Result

X1 → X2 0,000 <0,05

Linier

X2 → Y1 0,000 <0,05

Linier

X3 → Y1 0,000 <0,05

Linier

X4 → Y1 0,000 <0,05

Linier

X5 → Y1

0,000 <0,05

Linier

Z1 → Y1 0,000 <0,05

Linier

Z1 → Y3 0,000 <0,05

Linier

Z2 → Y3 0,000 <0,05

Linier

Y2 → Y1 0,000 <0,05 Linier

Y1 → Y3 0,000 <0,05

Linier

Y2 → Y3 0,000 <0,05

Linier

Y3 → Y4

0,000 <0,05

Linier

Figure 2 Results of Dependent Variable and Independent

Variable Relationships

4.4.4 SEM Analysis

After conducting the validity test, the reliability test

and the linearity test and the test results are valid

with the test standards used. Data has been

normal multivariate and also passed the Outlier test

so that testing can proceed to the SEM test phase

using AMOS.

From the figure below it can be seen the

results of the TAM 2 model processing into AMOS

to test the correlation of independent variables to

the dependent variable

Table 4 Goodness of Fit

Index

Goodness of Fit

Result

Expected

value

Information

Chi-Square 2882,199

Expected

e small

good

Probabilities 0,000 ≥0,05 not good

CMIN/DF 11,707 ≤2 not good

RMSEA 0,203 ≤0,08 not good

P Ratio 0,891 ≥0,60 good

CFI 0,970 ≥0,95 good

GFI 0,441 ≥0,95 not good

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If there are two Goodness of Fit criteria that meet

the criteria, the model is said to be good or feasible

(Solimun, 2006). In the table above, the Fit Model

Testing Result looks at the value of Chi- square,

Significance Probability, CMIN / DF, RMSEA, P

Ratio, CFI, GFI. declared eligible for the next process.

From the appropriate model, each path can be

determined from each variable. The path coefficient

is the hypothesis in this study. The Independent

Variable with the symbol (X), which is presented in

the following structural equation:

- X1 = Subjective Norm

- X2 = Image

- X3 = Job Relevance

- X4 = Output Quality

- X5 = Result Demonstrability

The dependent variable with the symbol (Y),

as follows:

- Y1 = Perceived Usefulness

- Y2 = Perceived Ease of Use

- Y3 = Intention to Use

- Y4 = Usage Behavior

The moderator variable with the symbol (Z),

as follows:

- Z1 = Experience

- Z2 = voluntariness

4.4.5 Hypothesis Test

After the goodness of fit test and the model are

considered feasible, the next step is to test the

hypothesis which is the goal of this study by using

the SEM method by looking at the probability or p-

value of the structural relationship. The research

hypothesis was tested using SPSS AMOS, The

hypothesis was accepted or considered significant if

the p-value was less than 0.05 (α = 5%).

Table 5 Hypothesis Test

S.E. C.R. P Result

X2<-X1

Y1<-X2

Y1<-X3

Y1<-X4

Y1<-X5

Y1<-Z1

Y3<-Z1

Y3<-Z2

Y1<-Y2

Y3<-Y1

Y3<-Y2

Y4<-Y3

0,102

0,027

0,043

0,028

0,033

0,01

0,012

0,033

0,061

0,056

0,073

9,322

-2,707

-7,75

12,381

10,656

4,082

9,555

6,208

15,274

-7,551

18,609

15,703

***

0,007

***

significant

Based on the table above, the results of the

hypothesis test have outlined how much a significant

influence on each variable examined in this study.

From these data the following Hypothesis test results

have significant results:

1. Subjective Norm (X1) have significant effect to

Image (X2). The results seen from the p-value

(***) shows a very small number far below

0,05.

2. Image (X2) have significant effect to perceived

usefulness (Y1). The results seen from the p-

value of 0,007 is smaller than 0.05.

3. Job Relevance (X3) have significant effect to

perceived usefulness (Y1). The results seen

from the p-value (***) shows a very small

number far below 0,05.

4. Quality Output (X4) have significant effect to

perceived usefulness (Y1). The results seen

from the p-value (***) shows a very small

number far below 0,05.

5. Results Demonstrability (X5) have significant

effect to perceived usefulness (Y1). The results

seen from the p-value (***) shows a very small

number far below 0,05.

6. Subjective Norm that moderated by Experience

(Z1) have a significant effect on perceived

usefulness (Y1). The results seen from the p-

value (***) shows a very small number far

below 0,05 .

7. Subjective Norms moderated by Experience

(Z1) have a significant effect on Intention to

Use (Y3). The results seen from the p-value

(***) shows a very small number far below

0,05.

8. Subjective Norm moderated by Voluntariness

(Z2) have a significant effect on Intention to

Use (Y3). The results seen from the p-value

(***) shows a very small number far below

0,05.

9. Perceived usefulness (Y1) have significant

effect to perceived ease of use (Y2). The results

seen from the p-value (***) shows a very small

number far below 0,05.

10. Perceived usefulness (Y1) have significant

effect to Intention to Use (Y3). The results seen

from the p-value (***) shows a very small

number far below 0,05.

11. Perceived Ease of Use (Y2) have significant

effect to Intention to Use (Y3). The results seen

from the p-value (***) shows a very small

number far below 0,05.

12. Intention to Use (Y3) have significant effect to

Usage Behavior (Y4) The results seen from the

Analysis of Tripadvisor Acceptance in Indonesia using Technology Acceptance Model 2: Case Study of E-Ticketing in Solid Travel

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287

p-value (***) show a very small number far

below 0,05.

4.2 Discussion

The discussion based on statistical analysis and

hypothesis testing that has been done on each research

variable:

1 Subjective Norm to Image

Based on the test results in the first hypothesis, it

was found that subjective norm had a significant

effect to the image on E-Ticketing system users on

TripAdvisor at Solid Travel. Subjective Norm can

be said to have a significant effect on the Image

because it has a p value smaller than 0.05.

2 Image to Perceived Usefulness

Based on the test results in the first hypothesis, it was

found that image had a significant effect to perceived

usefulness on E-Ticketing system users on

TripAdvisor at Solid Travel. Image can be said to

have a significant effect on perceived usefulness

because it has a p value smaller than 0.05.

3 Job Relevance to Perceived Usefulness

Based on the test results in the first hypothesis, it was

found that job relevance had a significant effect to

perceived usefulness on E-Ticketing system users on

TripAdvisor at Solid Travel. Job relevance can be said

to have a significant effect on perceived usefulness

because it has a p value smaller than 0.05.

4 Quality Output to Perceived Usefulness

Based on the test results in the first hypothesis, it was

found that quality output had a significant effect to

perceived usefulness on E-Ticketing system users on

TripAdvisor at Solid Travel. Quality output can be

said to have a significant effect on perceived

usefulness because it has a p value smaller than 0.05.

5 Results Demonstrability to Perceived

Usefulness

Based on the test results in the first hypothesis, it was

found that results demonstrability had a significant

effect to perceived usefulness on E- Ticketing

system users on TripAdvisor at Solid Travel. Results

demonstrability can be said to have a significant

effect on perceived usefulness because it has a p

value smaller than 0.05.

6 Subjective Norm moderated by Experience to

Perceived Usefulness

Based on the test results in the first hypothesis, it was

found that subjective norm moderated by experience

had a significant effect to perceived usefulness on E-

Ticketing system users on TripAdvisor at Solid

Travel. Subjective norm by experience can be said

to have a significant effect on perceived usefulness

because it has a p value smaller than 0.05.

7 Subjective Norm moderated by Experience to

Intention to Use

Based on the test results in the first hypothesis, it was

found that subjective norm moderated by experience

had a significant effect to intention to use on E-

Ticketing system users on TripAdvisor at Solid

Travel. Subjective norm by experience can be said

to have a significant effect on perceived usefulness

because it has a p value smaller than 0.05.

8 Subjective Norm moderated by Voluntariness

to Intention to Use

Based on the test results in the first hypothesis, it was

found that subjective norm moderated by

voluntariness had a significant effect to intention to

use on E-Ticketing system users on TripAdvisor at

Solid Travel. Subjective norm by voluntariness can

be said to have a significant effect on perceived

usefulness because it has a p value smaller than 0.05.

9 Perceived Usefulness to Perceived Ease of Use

Based on the test results in the first hypothesis, it was

found that perceived usefulness had a significant

effect to perceived ease of use on E-Ticketing system

users on TripAdvisor at Solid Travel. Perceived

usefulness can be said to have a significant effect on

perceived usefulness because it has a p value smaller

than 0.05.

10 Perceived Usefulness to Intention to Use

Based on the test results in the first hypothesis, it was

found that perceived usefulness had a significant

effect to intention to use on E-Ticketing system users

on TripAdvisor at Solid Travel. Perceived

usefulness by voluntariness can be said to have a

significant effect on perceived usefulness because it

has a p value smaller than 0.05.

11 Perceived Ease of Use to Intention to Use

Based on the test results in the first hypothesis, it was

found that perceived ease of use had a significant

effect to intention to use on E-Ticketing system users

on TripAdvisor at Solid Travel. Perceived ease of use

by voluntariness can be said to have a significant

effect on perceived usefulness because it has a p value

smaller than 0.05.

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12 Intention to Use to Usage Behavior

Based on the test results in the first hypothesis, it was

found that intention to use had a significant effect

usage behavior on E-Ticketing system users on

TripAdvisor at Solid Travel. Intention to use by

voluntariness can be said to have a significant effect

on perceived usefulness because it has a p value

smaller than 0.05.

5 CONCLUSIONS &

RECOMMENDATIONS

5.1 Conclusions

Some conclusions related to the previous discussion

regarding analysis of trip advisor acceptance in

Indonesia using technology acceptance model 2: case

study of e-ticketing in solid travel consumers,

including:

1. Subjective norms have significant effect to the

image of E-Ticketing users on TripAdvisor

meaning that if the subjective norms of system

use continue to increase it can affect the user's

image in the future.

2. Image have significant effect to the perceived

usefulness of E-Ticketing on TripAdvisor

means that if the system image continue to

improve, it can affect the perceived usefulness

in the future.

3. Job relevance have significant effect to the

perceived usefulness of E-Ticketing on

TripAdvisor, meaning that the relevance of

work from the use of the system continues to

increase so it can affect the perceived usefulness

in the future.

4. The output quality have significant effect to the

perceived usefulness of the E-Ticketing on

TripAdvisor meaning that if the output quality

from the use of the system continues to increase,

it can affect the perceived usefulness in the

future.

5. Result demonstrability have significant effect to

the perceived usefulness of E-Ticketing on

TripAdvisor, meaning that the result

demonstrability of the use of the system

continues to increase, it can affect the perceived

usefulness in the future.

6. Subjective norm moderated by experience have

significant effect to the perceived usefulness of

E-Ticketing on TripAdvisor meaning that if

subjective norm that are moderated by

experience from the use of the system continue

to be improved it can affect the perceived

usefulness in the future.

7. Subjective norm that are moderated by

experience have significant effect to the

intention to use on TripAdvisor meaning that if

subjective norm that are moderated by the

experience of using the system continue to be

improved it can affect intention to use in the

future.

8. Subjective norm that are moderated with

voluntariness have significant effect to the

intention to use of E-Ticketing users on

TripAdvisor means that if subjective norm that

are moderated with voluntariness from the use

of the system continue to be improved it can

affect intention to use in the future.

9. Perceived ease of use have significant effect

to the perceived usefulness of E-Ticketing on

TripAdvisor means that if perceived ease of use

of the system continues to be improved it can

affect future perceived

usefulness.

10. Perceived usefulness have significant effect to

intention to use of E-Ticketing users on

TripAdvisor means that if perceived usefulness

of using the system continue to be improved it

can affect intention to use in the future.

11. Perceived ease of use have significant effect

to intention to use of E-Ticketing users on

TripAdvisor meaning that if perceived ease of

use of the system continues to be improved

can also affect intention to use in the future.

12. Intention to use have significant effect to

usage behavior of E-Ticketing on TripAdvisor

meaning that if intention to use is increased it

will affect usage behavior in the future.

5.2 Recommendations

Based on research that has been done, suggestions

that can be taken into consideration for research

and also for future companies are as follows:

1. Practical Recommendation

a) Paying attention to the content and

appearance of websites and applications to

beregularly updated, keep updating

information to be more accurate, adding

package options to the website and

removing information that is not used.

b) Creating a system that is simple but still

clear so that it can be understood by all

people, so the system will be easily

mastered by the user.

Analysis of Tripadvisor Acceptance in Indonesia using Technology Acceptance Model 2: Case Study of E-Ticketing in Solid Travel

Consumers

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c) Continuing to update and improve the

quality of the system will increase user

interest in continuing to use this system in

the future.

d) Maintaining better service quality so that

users continue to use the e-ticketing system

on TripAdvisor and not move to other

applications. By the way the system must

be unique both in terms of design and

appearance have good navigation in

cultivating the use of digital applications

that can provide benefits for users so that

old habits will be eliminated when there is

no other choice but to use the digital

application.

2. Theoretical Suggestions

The author suggests that future studies be analysed

using the latest models such as TAM 3 or can modify

the conceptual model. In addition, it is expected that

further research can take extensive samples so that

the results obtained are more accurate in accepting

the E-Ticketing website on TripAdvisor on Solid

Travel.

ACKNOWLEDGEMENTS

Thanks are addressed to Director, all of staff and the

customers of PT Lim Lee Solid Indonesia who has

given the opportunity to the writer to research and be

able to implementation system information in this

company.

REFERENCES

Alhabsyi, F. A., Astuti, E. S., & Riyadi, R. (2018).

Kesuksesan Implementasi E-Ticketing (Studi Kasus Pada

Pt. Kereta Api Indonesia (Persero) Tentang Business

To Customer Di Stasiun Kota Malang).

Likert, R. (1932). A Technique for the Measurement of

Attitudes. publisher not identified.

Solimun. (2006). Penggunaan Structural Equation

Modeling (SEM) Dalam Penelitian. Universitas

Brawijaya, Malang.

Sugiyono. (2013). Metode Penelitian Kuantitatif,

Kualitatif, dan R&D. Bandung: CV Alfabeta.

Venkatesh, V., & Davis, F. D. (2000). A theoretical

extension of the technology acceptance model: Four

longitudinal field studies. Management Science.

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