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THE IMPACT OF GARUDA INDONESIA SERVICE
TOWARDS CUSTOMER SATISFACTION
By Giovani Septio
International Business 2
014201100193
Table of Contents
Table of Contents Page 1Chapter I - Introduction Page 2
1.1 Introduction Page 2
1.2 Background of Study Page 2
1.3 Statement of Problems Page 3
1.4 Significance of Study Page 4
1.5 Scope and Limitation Page 5
Chapter IIRelated
Literature Review
Page 6
2.1 Foreign Literature Page 6
2.2 Local Literature Page 7
2.3 Theoritical Framework Page 7
2.4 Definition of Terms Page 8
Chapter IIIResearch
Methodology
Page 10
3.1 Research Design Page 10
3.2 Sampling Design Page 11
3.3 Data Collection
Procedure
Page 11
3.4 Reserch Instrument Page 12
3.5 Local of Study Page 13
3.6 Statistical Treatment of
Data
Page 14
3.7 Reliability and Validity Page 16
3.7.1 Reliability Page 16
3.7.2 Validity Page 17
Appendix
Appendix IQuestionnaire Page 18
Appendix IIReferences Page 21
Appendix IIISPSS Result Page 23
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Chapter I
Introduction
1.1Introduction
Airlines industry nowadays is very competitive and keeps growing. The competition in
airlines industry rises from both local and global competitors. Values offered by the
airlines companies are variative and that leaves the customer with many choices. Price
range, service quality, ease of ticketing, and boarding an clearence time might be one of
the customer preferences toward the airline service they choose. Beside the fact that
airlines industry is very competitive, it is also constantly growing.
Business activities, international trade, and tourism are few of many things that are
supported by airlines, and as those activities growing, the airline industry is growing as
well. The growth provides opportunities as well as various challenges to the airline
companies. The opportunities arise because of the increasing demand for the airline
services, while the challenges arise because of the growing numbers of demanding
customers that want a better service quality with better price, aside from the high level
of competition between the airlines.
To compete succesfully in this industry, it is important for the airlines to perform a
better service in order to create a better customer satisfaction. One of the airline
company that is known for their great services toward their customers is the flag airlines
of Indonesia, which is Garuda Indonesia.
1.2Background of Study
The interest in studying the relationship between the Garuda Indonesia service and the
customer satisfaction is stimulated because Garuda Indonesia is one of the most
succesful airlines company in Indonesia, and it has expanded to become a global player
in the airlines industry as the brand awareness for Garuda Indonesia is growing fastly
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due to its various partnership. Its recent partnership with Liverpool FC, whose fan based
is already 55 millions people in Indonesian only is one example. Also, there is the Garuda
Indonesia Experience concept that is offered by Garuda Indonesia, which is one of the
pre and in flight services that combines multi elements such as ease of bookings, In
Flight Entertainment system, and cabin comfort and services that is very competitive in
global level. The customer preferences toward this airlines evntough it is of the most
expensive in the local airlines industry also triggers me to study thoroughly about the
impact between Garuda Indonesia Service and its impact toward their customer
satisfaction.
Garuda Indonesia Experience is a new concept of service designed to allow passengers
to experience Indonesia at its best. From the moment they make flight reservation until
their arrival at the destination, passengers of Garuda Indonesia are pampered with a
sincere and friendly service, the epitome of Indonesian hospitality, as symbolized in
Garuda Indonesia new standard greetings, Salam Garuda Indonesia (Garuda Indonesia,
2011).
By introducing the concept of Garuda Indonesia Experience, Garuda Indonesia is
creating a special brand identity for the company. The concept of Garuda Indonesia
Experience is based on 5 senses (sight, sound, scent, taste, and touch) which includes
24 customer touch points, from pre-journey, pre-flight, in-flight, post flight and post
journey services.
1.3Statement of Problem
The researcher has a curiousity of whether the concept of Garuda Indonesia Service
results in better customer satisfaction or not. If we think backwards, it is even more
crucial to inquire that whether the Garuda Indonesia service has anything to do with the
customer preferences toward this flag airlines. Furthermore, the researcher wants to
know in what parts of the Garuda Indonesia Service that satisfy customers the most, and
what part of it need the most attention to be improved.
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In points, these are the the inquiries that the researcher wants seek for an answer.
To what extent the Garuda Indonesia service become one of the customer
consideration of choosing Garuda Indonesia?
To what extent the Garuda Indonesia service creates better customer
satisfaction?
What features or elements in the Garuda Indonesia service satisfy customers the
most and the least?
1.4Significance of Study
This research will be significantly useful for related stakeholder in the airlines industry.
To Researcher : This research will help the resercher to anser researcher curiosity
regarding the relationship between Garuda Indonesia service and the customer
satisfaction. This research also can be a milestone for the researcher to conduct
more research in the future because of the learning process researcher went
through in conducting this research.
To Airlines : This research will be a useful source of information to develop their
services, enhencing their strength in the Garuda Indonesia service and to
improve the less contributing features of it. This research can also be one of the
evaluation tool for Garuda Indonesia in order to develop their performance and
competitive performance. This research can also be a benchmark for the airlines
company in order to perform a better service to satisfy their customer and
ultimately compete successfuly in the airline industry in Indonesia.
To customer (passanger): This research can be a source of information that
function as a review from other customer rearding the services they got from
Garuda Indonesia and how well they perceive the service itself, especially the
Garuda Indonesia Experience. It can also be the information for a preview for
customer who hasnt been in flight with Garuda Indonesia.
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To future researcher : This research can be a source of literature review for
future researcher, especially in the airlines business research and customer
satisfaction research.
1.5Scope and Limitation
In the sudy of this topic, the researcher will gather opinion and assesment from Garuda
Indonesia customer that have been in either domestic or international flight with
Garuda Indonesia. The questionaire will be spread both in papers to the passanger
waiting before they boarding in the airport. The researcher collects the data from
journals, aricles, and previous research related to the airlines industries and the
customer satisfaction in order to enrich the quality of the research.
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Chapter 2
Related Literature Review
2.1 Foreign Litearature
Passenger satisfaction in airline operations has become critically important and
(Dennett, 2000) suggest that as competition created by deregulation has become
more intense, service quality in the airline industry has also received more attention.
Airline companies also attempted to differentiate their services through the use of
computerized reservation systems which were also designed to create customer
loyalty in the distribution channels (Lee, 1996).
Maintaining quality are the main concerns of business today. Providing quality is not
a concern of manufacturing companies alone. The delivery of high-quality service
becomes a marketing requirement among air carriers as a result of competitive
pressure (Ostrowski, 1993). (Chang, 2002) argue that quality in airline service is
difficult to describe and measure due to its heterogeneity, intangibility, and
inseparability, and only the customer can truly define service quality in the airline
industry (Butler, 1992).Previous airline service studies are concentrated in modeling
the effect of perceived service quality at the aggregate construct level, though
examining the effects of individual dimensions of service attributes has potentially
great utility for airline managers (Patterson, 1997).The perceptions of airline service
quality are quite diverse and do not seem to fit any single existing quality model such
as the service quality (Haynes, 1994).
(Kotler, 1996) defined customer satisfaction as the level of a persons felt sate
resulting from comparing a products perceived performance or outcome in violation
to his/her own expectations. So, customer satisfaction could be considered a
comparative behavior between inputs beforehand and post obtainments.
(Cronin, 1992) originate empirical provision for the idea that perceived service
quality led to satisfaction and argued that service quality was actually an antecedent
of consumer satisfaction. (Hubbert, 1994) determined that service encounter
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satisfaction was quite distinct from overall satisfaction and perceived quality. Service
quality will vary; the definitions are all formulated from the customer perspective:
that is, what customers perceive are important dimensions of quality.
2.2 Local Literature
As mentioned by (Umar, 2003), service in general is the good feeling that is given to
someone else with ease and satisfying his/her needs. Service quality, according to
(Tjiptono, 2005), is a measurements on how good a service can meet its customer
expectation.
To make the measurements and judgements of a service quality easier, a tool called
SERVQUAL has been developed. SERVQUAL (service quality) is a multi item scale that
can be used to measure the customer perception of a quality of service that covers
five dimensions (Manulang, 2008) :
1) Tangibles : A companys ability to show its existance to the external parties.
Appearence, companys infrastructure and its environment is a real proof of the
service given.
2) Reliability : An ability to provide the promised service in accurate, satisfying, and
in timely manner.
3) Responsiveness : An ability to react and help the customer quickly and accurately
with clear information delivery.
4) Assurance : A guarantee in the form of knowledge, courtesy, and ability thatcan
build customers trust toward companys service.
5) Empathy : Giving attention and care personally towards customer in order to
understand what their needs and wants.
2.3 Theoritical Framework
This research is meant to understand the relationship between a service concept namely
Garuda Indonesia Experience and its impact towards Garuda Indonesias customer
satisfaction. As the Garuda Indonesia Experience itself is essentialy an integrated service
provided by the airline, its quality measurements can be done by covering 5 dimension of
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service which are tangibles, reliability, responsiveness, assurance, and empaty, using
SERVQUAL method.
In this research, the topic is narrowed by focusing on the customer satisfaction as a result of
the service concept impementation. So the customer satisfation can be classified as
dependent variable, while the quality of service concept (Garuda Indonesia Experience) that
is viewed in five dimension (tangibles, reliability, responsiveness, assurance, and empathy)
can be classified as independent variable.
2.4 Definition of Terms
Airlines : an organization providing a regular public service of air transport on one or
more routes
Assurance : A guarantee in the form of knowledge, courtesy, and ability thatcan
build customers trust toward companys service.
Customer : a person who purchases goods or services from another
IndependentVariable
DependentVariable
CustomerSatisfaction
(Y)
Tangibles (X1)
Reliability (X2)
Responsiveness(X3)
Assurance (X4)
Empathy (X5)
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Empathy : Giving attention and care personaly towards customer in order to
understand what their needs and wants.
Garuda Indonesia Experience : A service concept provided by Garuda Indonesia that
emphasize on Indonesian hospitality of sincere and friendly service, from the
moment the passenger make reservations until they reach the destination.
Passanger : a traveller on a public or private conveyance other than the driver, pilot,
or crew
Quality : the degree of excellence of something
Reliability : An ability to provide the promised service in accurate, satisfying, and in
timely manner
Responsivenes : An ability to react and help the customer quickly and accurately
with clear information delivery
Satisfaction : fulfilment of ones wishes, expectations, or needs
Service : A type ofeconomicactivity that is intangible, is not stored and does
notresult inownership.A service is consumed at thepoint of sale.
Tangibles : A companys ability to show its existance to the external parties.
Appearence, companys infrastructure and its environment is a real proof of the
service given
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Chapter III
Research Methodology
3.1 Research Design
This research is designed to answer researcherscuriosity regarding the impact of Garuda
Indonesia service towards customer satisfaction, so the research will be conducted
quantitatively. Quantitative method is method that focuses on derivation of conclusion from
existing data using proven statistical or general quantitative methods. In the group we
encounter different modelling methods for information of business systems. (Mundar,
2012). Despite the quantitative measurements this research use, in the questionaire there
will be also questions that need descriptive answer regarding which features of Garuda
Indonesia service that the respondent fell most contributing to their satisfaction, and th ey
feel the least contributing thus need some improvement in that features.
The researcher has developed a timeline in conducting the research step by step to meet
the deadline of every single activity in the whole research. Below is a table showing the time
frame of the research:
Time Activities
2nd week of February Preparing the topic of the research and the
research sample,
3rd week of February Conducting literature review both foreign
and local, as well as preparing the theoritical
framework for dependent and independent
variable
4th week of February Preparing the research design, sampling
design, and questionnaire.
1st week of March Revising the research proposal
2nd week of March Submitting the research proposal
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3.2 Sampling Design
A sample is taken from target population being researched. If the sample is adequate, it will
have the same characteristics of the population (Zikmund, 2003) and the findings are usually
used to make the conclusion about the populant (Field, 2009).
The respondant most suitable to this research are those who has been in a flight with
Garuda Indonesi. This is intended to get the answer from respondents who are experienced
enough with current Garuda Indonesia service so the respondents can provide well-thought
answers. The sample will be taken from the passanger in the Soekarno-Hatta airport. Thus,
sampling method used in this research is judgemental or purposive sampling which is a non
probability method. Non-probability sampling refers to the objects that are selected based
on the judgment of the researcher and usually generalizations from this methods are
posible, although not by using statistical techniques (Zikmund, 2003). A purposive sample,
also commonly called a judgmental sample, is one that is selected based on the knowledge
of a population and the purpose of the study. The subjects are selected because of some
characteristic (Babbie, 2001). This method is used because the way researcher spreads the
questionnaires is by asking first whether the respondant fit the criteria above.
3.3 Data Collection Procedure
The data collected in this research is obtained from primary and secondary sources, in which
the primary sources are survey using the questionnaire as a tool to be spread to the
respondants, and the seconary sources are obtained by reviewing related literature both
foreign and local.
Survey is a research techniques in which responses is collected through structured
instrument from a sample in some form or the behaviour of respondents is observed and
describe in some way (Zikmund, 2010).
A questionnaire is simply a tool for collecting and recording information about a particular
issue of interest. It is mainly made up of a list of questions, but should also include clear
instructions and space for answers or administrative details (Oppenheim, 1992).
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In order to obtain the primary source of data, the researcher has prepared the
questionnaire, and it will be spread to the people who fit the criteria to be the sample of
this research
3.4 Research Instrument
The research basically relies on questionnaire and literautre study of both foreign and local
related to the topic of the research. Specifically, in the questionnaire there will be inquiries
regarding the gender of the respondents and their age to identify the demography of the
respondents. There will be questions regarding the five variable and its indicator which will
be shown below:
Variable Indicator Measurement
Tangibles (X1) Plane type Interval Scale
Facility
Flight Attendance Neatness
Equipment Sophistication
Brochure aesthetics
Reliability (X2) Accuracy of keeping
promises
Interval Scale
Punctuality
Procedure Implementation
Concern
Sincererity of the employee
Responsivness (X3) Clarity of information Interval Scale
Timing of assistance
Accuracy of asistance
Readiness to assist
Willingness to assist
Assurance (X4) Trust Interval Scale
Security
Comfort
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Courtesy
Insurance
Empathy (X5) Personal Attention Interval Scale
Comfortable operation hours
Understanding needs
Goodwill
Tolerance
Customer Satisfaction Feeling satisfied
Giving reccomendation
Repeat purchase
Price to quality assumption
Meting expecation
3.5 Local of Study
The researcher has limited the scope of this research into several qualification. This is done
to make the research effective and efficient. The researcher also has determined the size of
sample to be surveyed. Sample size has an effect on how the sample findings accurately
represents the population (Bums, 2010). Sample sizes depend on factors such as the time
and money available to collect the data (Hair, 2006).
To be specific, the local of study the researcher has determined is:
Population:
People who have been in flight with Garuda Indonesia
Area of Population:
Soekarno-Hatta Airport
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Sample Size:
To determine the sample size, researcher uses Slovin equation:
In which: n = sample size
N = Population size
e = error
Population size (N), which is taken from the number of Garuda Indonesia passanger
perday, is 54322 and error estimaton is 10%, so the sample size is:
3.6 Statistical Treatment of Data
The data obtained in this research will be proccessed statiscally by using multiple regression
method because there are several independent variables that influence one dependent
variable which are tangibles, reliability, responsiveness, assurance, and empathy as
independent variables and customer satisfaction as dependent vaiable. The mathematical
treatment of this data will be:
In which:
Y = Customer satisfaction
a = Constant
b1...b5 = Regression coefficient
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x1 = Tangibles
x2 = Reliability
x3 = Responsiveness
x4 = Assurance
x5 = Empathy
x = sum of all data values
N = Number of data items in population
n = number of data items in sample
Standard Deviation
In order to prove whether there is a relationship betwen whole variables (tangibles,
reliability, responsiveness, assurance, and empathy) toward customer satisfaction, the
researcher will conduct F test with level significance of 0.05.
In order to prove whether there is a relationship between either variables toward cusomer
satisfaction, the researcher will conduct T test with level of significant of 0.05.
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3.7 Reliability and Validity
Insofar as the definitions of reliability and validity in quantitative research reveal two
strands: Firstly, with regards to reliability, whether the result is replicable. Secondly, with
regards to validity, whether the means of measurement are accurate and whether they are
actually measuring what they are intended to measure.
3.7.1 Reliability
The extent to which results are consistent over time and an accurate representation of the
total population under study is referred to as reliability and if the results of a study can be
reproduced under a similar methodology, then the research instrument is considered to be
reliable (Joppe, 2000).
(Kirk, 1986) identify three types of reliability referred to in quantitative research, which
relate to: (1) the degree to which a measurement, given repeatedly, remains the same (2)
the stability of a measurement over time; and (3) the similarity of measurements within a
given time period.
(Charles, 1995) adheres to the notions that consistency with which questionnaire [test]
items are answered or individuals scores remain relatively the same can be determined
through the test-retest method at two different times. This attribute of the instrument is
actually referred to as stability. If we are dealing with a stable measure, then the results
should be similar. A high degree of stability indicates a high degree of reliability, which
means the results are repeatable. (Joppe, 2000) detects a problem with the test-retest
method which can make the instrument, to a certain degree, unreliable. She explains that
test-retest method may sensitize the respondent to the subject matter, and hence influence
the responses given. We cannot be sure that there was no change in extraneous influences
such as an attitude change that has occurred. This could lead to a difference in the
responses provided. Similarly, (Crocker, 1986) note that when a respondent answer a set of
test items, the score obtained represents only a limited sample of behaviour. As a result, the
scores may change due to some characteristic of the respondent, which may lead to errors
of measurement. These kinds of errors will reduce the accuracy and consistency of the
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instrument and the test scores. Hence, it is the researchers responsibility to assure high
consistency and accuracy of the tests and scores
3.7.2 Validity
The traditional criteria for validity find their roots in a positivist tradition, and to an extent,
positivism has been defined by a systematic theory of validity. Within the positivist
terminology, validity resided amongst, and was the result and culmination of other
empirical conceptions: universal laws, evidence, objectivity, truth, actuality, deduction,
reason, fact and mathematical data to name just a few (Winter, 2000).
Validity determines whether the research truly measures that which it was intended to
measure or how truthful the research results are. In other words, does the research
instrument allow you to hit "the bulls eye" of your research object? Researchers generally
determine validity by asking a series of questions, and will often look for the answers in the
research of others.
(Wainer, 1998) describe the validity in quantitative research as construct validity. The
construct is the initial concept, notion, question or hypothesis that determines which data is
to be gathered and how it is to be gathered. They also assert that quantitative researchers
actively cause or affect the interplay between construct and data in order to validate their
investigation, usually by the application of a test or other process. In this sense, the
involvement of the researchers in the research process would greatly reduce the validity of
a test.
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Appendix
Appendix I
Questionnaire
The Impact of Garuda Indonesia Service Towards Customer Satisfaction
Firstly, let me introduce myself. My name is Giovani Septio, a student in President University
majoring in Management study program, concentrate in International Business and currently
enrolled in 8th semester. My intention in sending the form is to ask for your help in filling this
questionnaire, which I will use to construct my Final Project in Research and Methodology subject.
This questionnaire consists of 3 (three) parts, which are: A) Personal Information; B) General
Instruction; C) Statement of Garuda Indonesia Service Impact to the Customer Satisfaction. I wouldlike to say thank you for your willingness to spend your time to fill this questionnaire.
Have youe ever traveled with Garuda Indonesia Airlines?
a. Yes
b. No
A.Personal Information
Full Name:
Gender:
a. Male
b. Female
Age:
a. 50
B. General Instruction
In this section you are asked to give an opinion on how much the following statement in
accordance to Garuda Indonesia Service Impact to the Customer Satisfaction. Please rate the
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following statement according to Strongly Disagree (SD), Disagree (D), Neither Agree or Disagree
(N), Agree (A), and Strongly Agree (SA).
Choose 1, if you are Strongly Disagree (SD) with the statement
Choose 2, if you are Disagree (D) with the statement
Choose 3, if you are Neither Agree or Disagree (N) with the statement
Choose 4, if you are Agree (A) with the statement
Choose 5, if you are Strongly Agree (SA) with the statement
C. Statement of Garuda Indonesia Service Impact towards Customer
Satisfaction
The impact of Garuda Indonesia Service to the customer satisfaction are divided by five aspects:
Tangibles, Reliability, Responsiveness, Assurance, Empathy. Thus you will be given statements
which will be assessed according to the corresponding dimension.
Variable: Tangibles 1 2 3 4 5
The type of plane used by Garuda Indonesia is good
The facility Garuda Indonesia offer is modern
The flight attendance of Garuda Indonesia is neat
The equipment is sophiscated
The brochure of Garuda Indonesia is attractive
Variable: Reliability
Garuda Indonesia is keeping their promisesGaruda Indonesia is departure according to the schedule
The procedure is implemented correctlly
Garuda Indonesia concern to the customers' wants
Garuda Indonesia employees are sincere to help the
customers
Variable: Responsiveness
Garuda Indonesia deliver clear information
The assistance Garuda indonesia gives right on-time
Garuda Indonesia always ready to assist the customer
The assistance of Garuca Indonesia is accurate
The employees and flight attendance are willing to help
Variable: Assurance
Garuda Indonesia give trust to the customer
The security in the plane is good
Garuda Indonesia give comfort to the passanger
Garuda Indonesia give insurance to the passangers
The courtesy of flight attendance is good
Variable: EmpathyGaruda ndonesia gives personal attention
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Garuda Indonesia has comfortable operating hours
Garuda Indonesia understand people needs
Garuda Indonesia shows goodwill towards their
customers
Garuda Indonesia shows tolerance towards their
customers
Variable: Customer Satisfaction
I am satisfied with Garuda Indonesia service
I will recommend Garuda Indonesia to other people
I will travel using Garuda Indonesia again
I consider the price I pay worth the service I get
Garuda Indonesia service has met/surpass my
expectation
From your opinion, what elements of Garuda Indonesia service that is most and the least
contributing to your satisfaction?
Thank you, this marks the end of the questionnaire. I personally would like to say thank you very
much for the valuable time you have spent to fill my questionnaire.
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APPENDIX II
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P. Kotler and G. Amstrong (1996), Principles of Marketing, Prentice-Hall, New Jersey.
Tjiptono, Fandy, and Gregorius Chandra (2005), Service: Quality and Satisfaction, Andi Publication,
Yogyakarta.
Umar, Husein (2003), Riset Pemasaran dan Perilaku Konsumen, PT Gramedia, Jakarta.
Wainer, H., & Braun, H. I. (1988). Test validity. Hilldale, NJ: Lawrence Earlbaum Associates
Winter, G. (2000). "A comparative discussion of the notion of validity in qualitative and quantitative
research". The Qualitative Report, 4(3&4). Hilldale, NJ: Lawrence Earlbaum Associates
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APPENDIX III
SPSS RESULT
Validity Test Result
Variable: Tangibles
Correlations
Plane Total1
Plane
Pearson Correlation 1 1,000**
Sig. (1-tailed) ,000
N 30 30
Total1
Pearson Correlation 1,000** 1
Sig. (1-tailed) ,000
N 30 30
**. Correlation is significant at the 0.01 level (1-tailed).
Correlations
Facility Total1
Facility
Pearson Correlation 1 1,000**
Sig. (1-tailed) ,000
N 30 30
Total1
Pearson Correlation 1,000** 1
Sig. (1-tailed) ,000
N 30 30
**. Correlation is significant at the 0.01 level (1-tailed).
Correlations
FlightAttNeatne
ss
Total1
FlightAttNeatness
Pearson Correlation 1 1,000**
Sig. (1-tailed) ,000
N 30 30
Total1
Pearson Correlation 1,000** 1
Sig. (1-tailed) ,000
N 30 30
**. Correlation is significant at the 0.01 level (1-tailed).
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Correlations
EquipmentSoph
istication
Total1
EquipmentSophistication
Pearson Correlation 1 1,000**
Sig. (1-tailed) ,000
N 30 30
Total1
Pearson Correlation 1,000** 1
Sig. (1-tailed) ,000
N 30 30
**. Correlation is significant at the 0.01 level (1-tailed).
Correlations
BrochureAesthe
thics
Total1
BrochureAesthethics
Pearson Correlation 1 1,000**
Sig. (1-tailed) ,000
N 30 30
Total1
Pearson Correlation 1,000** 1
Sig. (1-tailed) ,000
N 30 30
**. Correlation is significant at the 0.01 level (1-tailed).
Variable: Reliability
Correlations
Promise Total2
Promise
Pearson Correlation 1 1,000**
Sig. (1-tailed) ,000
N 30 30
Total2
Pearson Correlation 1,000** 1
Sig. (1-tailed) ,000
N 30 30
**. Correlation is significant at the 0.01 level (1-tailed).
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Correlations
Punctuality Total2
Punctuality
Pearson Correlation 1 1,000**
Sig. (1-tailed) ,000
N 30 30
Total2
Pearson Correlation 1,000** 1
Sig. (1-tailed) ,000
N 30 30
**. Correlation is significant at the 0.01 level (1-tailed).
Correlations
Procedure Total2
Procedure
Pearson Correlation 1 1,000**
Sig. (1-tailed) ,000
N 30 30
Total2
Pearson Correlation 1,000** 1
Sig. (1-tailed) ,000
N 30 30
**. Correlation is significant at the 0.01 level (1-tailed).
Correlations
Concern Total2
Concern
Pearson Correlation 1 1,000**
Sig. (1-tailed) ,000
N 30 30
Total2
Pearson Correlation 1,000** 1
Sig. (1-tailed) ,000
N 30 30**. Correlation is significant at the 0.01 level (1-tailed).
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Correlations
Sincerity Total2
Sincerity
Pearson Correlation 1 1,000**
Sig. (1-tailed) ,000
N 30 30
Total2
Pearson Correlation 1,000** 1
Sig. (1-tailed) ,000
N 30 30
**. Correlation is significant at the 0.01 level (1-tailed).
Variable: Responsiveness
Correlations
ClarityofInfo Total3
ClarityofInfo
Pearson Correlation 1 1,000**
Sig. (1-tailed) ,000
N 30 30
Total3
Pearson Correlation 1,000** 1
Sig. (1-tailed) ,000
N 30 30
**. Correlation is significant at the 0.01 level (1-tailed).
Correlations
TimingofAssista
nce
Total3
TimingofAssistance
Pearson Correlation 1 1,000**
Sig. (1-tailed) ,000
N 30 30
Total3
Pearson Correlation 1,000** 1
Sig. (1-tailed) ,000
N 30 30
**. Correlation is significant at the 0.01 level (1-tailed).
Correlations
AccofAssist Total3
AccofAssist
Pearson Correlation 1 1,000**
Sig. (1-tailed) ,000
N 30 30
Total3 Pearson Correlation 1,000** 1
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Sig. (1-tailed) ,000
N 30 30
**. Correlation is significant at the 0.01 level (1-tailed).
Correlations
Readiness Total3
Readiness
Pearson Correlation 1 1,000**
Sig. (1-tailed) ,000
N 30 30
Total3
Pearson Correlation 1,000** 1
Sig. (1-tailed) ,000
N 30 30**. Correlation is significant at the 0.01 level (1-tailed).
Correlations
Willingness Total3
Willingness
Pearson Correlation 1 1,000**
Sig. (1-tailed) ,000
N 30 30
Total3
Pearson Correlation 1,000** 1
Sig. (1-tailed) ,000
N 30 30
**. Correlation is significant at the 0.01 level (1-tailed).
Variable: Assurance
Correlations
Trust Total4
Trust
Pearson Correlation 1 1,000**
Sig. (1-tailed) ,000
N 30 30
Total4
Pearson Correlation 1,000** 1
Sig. (1-tailed) ,000
N 30 30
**. Correlation is significant at the 0.01 level (1-tailed).
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Correlations
Security Total4
Security
Pearson Correlation 1 1,000**
Sig. (1-tailed) ,000
N 30 30
Total4
Pearson Correlation 1,000** 1
Sig. (1-tailed) ,000
N 30 30
**. Correlation is significant at the 0.01 level (1-tailed).
Correlations
Comfort Total4
Comfort
Pearson Correlation 1 1,000**
Sig. (1-tailed) ,000
N 30 30
Total4
Pearson Correlation 1,000** 1
Sig. (1-tailed) ,000
N 30 30
**. Correlation is significant at the 0.01 level (1-tailed).
Correlations
Courtesy Total4
Courtesy
Pearson Correlation 1 1,000**
Sig. (1-tailed) ,000
N 30 30
Total4
Pearson Correlation 1,000** 1
Sig. (1-tailed) ,000
N 30 30
**. Correlation is significant at the 0.01 level (1-tailed).
Correlations
Insurance Total4
Insurance
Pearson Correlation 1 1,000**
Sig. (1-tailed) ,000
N 30 30
Total4 Pearson Correlation 1,000** 1
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Sig. (1-tailed) ,000
N 30 30
**. Correlation is significant at the 0.01 level (1-tailed).
Variable: Empathy
Correlations
PersonalAttenti
on
Total5
PersonalAttention
Pearson Correlation 1 1,000**
Sig. (1-tailed) ,000
N 30 30
Total5
Pearson Correlation 1,000** 1
Sig. (1-tailed) ,000
N 30 30
**. Correlation is significant at the 0.01 level (1-tailed).
Correlations
OperationHours Total5
OperationHours
Pearson Correlation 1 1,000**
Sig. (1-tailed) ,000
N 30 30
Total5
Pearson Correlation 1,000** 1
Sig. (1-tailed) ,000
N 30 30
**. Correlation is significant at the 0.01 level (1-tailed).
Correlations
UnderstandingN
eeds
Total5
UnderstandingNeeds
Pearson Correlation 1 1,000**
Sig. (1-tailed) ,000
N 30 30
Total5
Pearson Correlation 1,000** 1
Sig. (1-tailed) ,000
N 30 30
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**. Correlation is significant at the 0.01 level (1-tailed).
Correlations
Goodwill Total5
Goodwill
Pearson Correlation 1 1,000**
Sig. (1-tailed) ,000
N 30 30
Total5
Pearson Correlation 1,000** 1
Sig. (1-tailed) ,000
N 30 30
**. Correlation is significant at the 0.01 level (1-tailed).
Correlations
Tolerance Total5
Tolerance
Pearson Correlation 1 1,000**
Sig. (1-tailed) ,000
N 30 30
Total5
Pearson Correlation 1,000** 1
Sig. (1-tailed) ,000
N 30 30
**. Correlation is significant at the 0.01 level (1-tailed).
Variable: Customer Satisfaction
Correlations
FeelingSatisfied Total6
FeelingSatisfied
Pearson Correlation 1 1,000**
Sig. (1-tailed) ,000
N 30 30
Total6
Pearson Correlation 1,000** 1
Sig. (1-tailed) ,000
N 30 30
**. Correlation is significant at the 0.01 level (1-tailed).
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Correlations
Reccomend Total6
Reccomend
Pearson Correlation 1 1,000**
Sig. (1-tailed) ,000
N 30 30
Total6
Pearson Correlation 1,000** 1
Sig. (1-tailed) ,000
N 30 30
**. Correlation is significant at the 0.01 level (1-tailed).
Correlations
RepeatPurchas
e
Total6
RepeatPurchase
Pearson Correlation 1 1,000**
Sig. (1-tailed) ,000
N 30 30
Total6
Pearson Correlation 1,000** 1
Sig. (1-tailed) ,000
N 30 30
**. Correlation is significant at the 0.01 level (1-tailed).
Correlations
AttPricetoQualit
y
Total6
AttPricetoQuality
Pearson Correlation 1 1,000**
Sig. (1-tailed) ,000
N 30 30
Total6
Pearson Correlation 1,000** 1
Sig. (1-tailed) ,000
N 30 30
**. Correlation is significant at the 0.01 level (1-tailed).
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Correlations
MeetingExpecta
tion
Total6
MeetingExpectation
Pearson Correlation 1 1,000**
Sig. (1-tailed) ,000
N 30 30
Total6
Pearson Correlation 1,000** 1
Sig. (1-tailed) ,000
N 30 30
**. Correlation is significant at the 0.01 level (1-tailed).
Reliability
Variable: Tangibles
Case Processing Summary
N %
Cases
Valid 30 100,0
Excludeda 0 ,0
Total 30 100,0
a. Listwise deletion based on all variables in the
procedure.
Reliability Statistics
Cronbach's
Alpha
N of Items
,840 6
Inter-Item Correlation Matrix
Plane Facility FlightAttNeatnes
s
EquipmentSophi
stication
BrochureAesthet
hics
Total1
Plane 1,000 1,000 1,000 1,000 1,000 1,000
Facility 1,000 1,000 1,000 1,000 1,000 1,000
FlightAttNeatness 1,000 1,000 1,000 1,000 1,000 1,000
EquipmentSophistication 1,000 1,000 1,000 1,000 1,000 1,000
BrochureAesthethics 1,000 1,000 1,000 1,000 1,000 1,000
Total1 1,000 1,000 1,000 1,000 1,000 1,000
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Item-Total Statistics
Scale Mean if
Item Deleted
Scale Variance
if Item Deleted
Corrected Item-
Total Correlation
Squared
MultipleCorrelation
Cronbach's
Alpha if ItemDeleted
Plane 19,5000 95,431 1,000 . ,802
Facility 19,5000 95,431 1,000 . ,802
FlightAttNeatness 19,5000 95,431 1,000 . ,802
EquipmentSophistication 19,5000 95,431 1,000 . ,802
BrochureAesthethics 19,5000 95,431 1,000 . ,802
Total1 10,8333 29,454 1,000 . 1,000
Scale Statistics
Mean Variance Std. Deviation N of Items
21,6667 117,816 10,85431 6
Variable: Reliability
Case Processing Summary
N %
Cases
Valid 30 100,0
Excludeda 0 ,0
Total 30 100,0
a. Listwise deletion based on all variables in the
procedure.
Reliability Statistics
Cronbach's
Alpha
N of Items
,840 6
Inter-Item Correlation Matrix
Promise Punctuality Procedure Concern Sincerity Total2
Promise 1,000 1,000 1,000 1,000 1,000 1,000
Punctuality 1,000 1,000 1,000 1,000 1,000 1,000
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Procedure 1,000 1,000 1,000 1,000 1,000 1,000
Concern 1,000 1,000 1,000 1,000 1,000 1,000
Sincerity 1,000 1,000 1,000 1,000 1,000 1,000
Total2 1,000 1,000 1,000 1,000 1,000 1,000
Item-Total Statistics
Scale Mean if
Item Deleted
Scale Variance
if Item Deleted
Corrected Item-
Total
Correlation
Squared
Multiple
Correlation
Cronbach's
Alpha if Item
Deleted
Promise 19,5000 95,431 1,000 . ,802
Punctuality 19,5000 95,431 1,000 . ,802
Procedure 19,5000 95,431 1,000 . ,802
Concern 19,5000 95,431 1,000 . ,802
Sincerity 19,5000 95,431 1,000 . ,802
Total2 10,8333 29,454 1,000 . 1,000
Scale Statistics
Mean Variance Std. Deviation N of Items
21,6667 117,816 10,85431 6
Variable: Responsivenes
Case Processing Summary
N %
Cases
Valid 30 100,0
Excludeda 0 ,0
Total 30 100,0
a. Listwise deletion based on all variables in the
procedure.
Reliability Statistics
Cronbach's
Alpha
N of Items
,840 6
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Inter-Item Correlation Matrix
ClarityofInfo TimingofAssista
nce
AccofAssist Readiness Willingness Total3
ClarityofInfo 1,000 1,000 1,000 1,000 1,000 1,000
TimingofAssistance 1,000 1,000 1,000 1,000 1,000 1,000
AccofAssist 1,000 1,000 1,000 1,000 1,000 1,000
Readiness 1,000 1,000 1,000 1,000 1,000 1,000
Willingness 1,000 1,000 1,000 1,000 1,000 1,000
Total3 1,000 1,000 1,000 1,000 1,000 1,000
Item-Total Statistics
Scale Mean if
Item Deleted
Scale Variance
if Item Deleted
Corrected Item-
Total
Correlation
Squared
Multiple
Correlation
Cronbach's
Alpha if Item
Deleted
ClarityofInfo 19,5000 95,431 1,000 . ,802
TimingofAssistance 19,5000 95,431 1,000 . ,802
AccofAssist 19,5000 95,431 1,000 . ,802
Readiness 19,5000 95,431 1,000 . ,802
Willingness 19,5000 95,431 1,000 . ,802
Total3 10,8333 29,454 1,000 . 1,000
Scale Statistics
Mean Variance Std. Deviation N of Items
21,6667 117,816 10,85431 6
Variable: Assurance
Case Processing Summary
N %
Cases
Valid 30 100,0
Excludeda 0 ,0
Total 30 100,0
a. Listwise deletion based on all variables in the
procedure.
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Reliability Statistics
Cronbach's
Alpha
N of Items
,840 6
Inter-Item Correlation Matrix
Trust Security Comfort Courtesy Insurance Total4
Trust 1,000 1,000 1,000 1,000 1,000 1,000
Security 1,000 1,000 1,000 1,000 1,000 1,000
Comfort 1,000 1,000 1,000 1,000 1,000 1,000
Courtesy 1,000 1,000 1,000 1,000 1,000 1,000
Insurance 1,000 1,000 1,000 1,000 1,000 1,000
Total4 1,000 1,000 1,000 1,000 1,000 1,000
Item-Total Statistics
Scale Mean if
Item Deleted
Scale Variance
if Item Deleted
Corrected Item-
Total
Correlation
Squared
Multiple
Correlation
Cronbach's
Alpha if Item
Deleted
Trust 19,5000 95,431 1,000 . ,802
Security 19,5000 95,431 1,000 . ,802
Comfort 19,5000 95,431 1,000 . ,802
Courtesy 19,5000 95,431 1,000 . ,802
Insurance 19,5000 95,431 1,000 . ,802
Total4 10,8333 29,454 1,000 . 1,000
Scale Statistics
Mean Variance Std. Deviation N of Items
21,6667 117,816 10,85431 6
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Variable: Empathy
Case Processing Summary
N %
Cases
Valid 30 100,0
Excludeda 0 ,0
Total 30 100,0
a. Listwise deletion based on all variables in the
procedure.
Reliability Statistics
Cronbach's
Alpha
N of Items
,840 6
Inter-Item Correlation Matrix
PersonalAttentio
n
OperationHours UnderstandingN
eeds
Goodwill Tolerance Total5
PersonalAttention 1,000 1,000 1,000 1,000 1,000 1,000
OperationHours 1,000 1,000 1,000 1,000 1,000 1,000
UnderstandingNeeds 1,000 1,000 1,000 1,000 1,000 1,000
Goodwill 1,000 1,000 1,000 1,000 1,000 1,000
Tolerance 1,000 1,000 1,000 1,000 1,000 1,000
Total5 1,000 1,000 1,000 1,000 1,000 1,000
Item-Total Statistics
Scale Mean if
Item Deleted
Scale Variance
if Item Deleted
Corrected Item-
Total Correlation
Squared
Multiple
Correlation
Cronbach's
Alpha if Item
Deleted
PersonalAttention 19,5000 95,431 1,000 . ,802
OperationHours 19,5000 95,431 1,000 . ,802
UnderstandingNeeds 19,5000 95,431 1,000 . ,802
Goodwill 19,5000 95,431 1,000 . ,802
Tolerance 19,5000 95,431 1,000 . ,802
Total5 10,8333 29,454 1,000 . 1,000
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Scale Statistics
Mean Variance Std. Deviation N of Items
21,6667 117,816 10,85431 6
Variable: Customer Satisfaction
Case Processing Summary
N %
Cases
Valid 30 100,0
Excludeda 0 ,0
Total 30 100,0
a. Listwise deletion based on all variables in the
procedure.
Reliability Statistics
Cronbach's
Alpha
N of Items
,840 6
Inter-Item Correlation Matrix
FeelingSatisfied Reccomend RepeatPurchase AttPricetoQuality MeetingExpectat
ion
Total6
FeelingSatisfied 1,000 1,000 1,000 1,000 1,000 1,000
Reccomend 1,000 1,000 1,000 1,000 1,000 1,000
RepeatPurchase 1,000 1,000 1,000 1,000 1,000 1,000
AttPricetoQuality 1,000 1,000 1,000 1,000 1,000 1,000
MeetingExpectation 1,000 1,000 1,000 1,000 1,000 1,000
Total6 1,000 1,000 1,000 1,000 1,000 1,000
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Item-Total Statistics
Scale Mean if
Item Deleted
Scale Variance
if Item Deleted
Corrected Item-
Total
Correlation
Squared
Multiple
Correlation
Cronbach's
Alpha if Item
Deleted
FeelingSatisfied 19,5000 95,431 1,000 . ,802
Reccomend 19,5000 95,431 1,000 . ,802
RepeatPurchase 19,5000 95,431 1,000 . ,802
AttPricetoQuality 19,5000 95,431 1,000 . ,802
MeetingExpectation 19,5000 95,431 1,000 . ,802
Total6 10,8333 29,454 1,000 . 1,000
Scale Statistics
Mean Variance Std. Deviation N of Items
21,6667 117,816 10,85431 6
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