Volume 5, Issue 3, March 2020 International Journal of Innovative Science and Research Technology
ISSN No:-2456-2165
IJISRT20MAR655 www.ijisrt.com 1135
The Effect of Service Quality, Service Marketing Mix
and Costumer Value on Consumer Satisfaction and its
Impact on the Loyalty of the Consumer Industry of
the Low-Cost Carrier Flight in Indonesia
Syahrum Agung
Universitas Ibnu Khaldun
Abstract:- The objectives of this research is to analyze
impact service quality, service marketing mix, and
customer value on customer satisfaction and customer
loyalty in low-cost carrier airline industry, in Indonesia.
The research design used in the study is explanatory
design which explains the causal relationship among
variables and scoring all indicators for each variables.
The study location is in Terminal-2 Soekarno-hatta
Airport, Tangerang, Banten Province. Object of airlines
researched are Citilink, Lionair, Air Asia dan
WingsAir. The dissertation used primary data from
questionnaire filled out by the 200 respondents. The
sample selection used judgment sampling.The analysis
tool used of research used descriptive statistics such as
persentage, mean, and chi-square, and Structural
Equation Modeling (SEM) using Lisrel. The descriptive
analysis shows that the level of service quality, service
marketing mix, customer value, customer satisfaction
and customer loyalty is well perceived. The results of
relationship among variables stated that the Service
Quality has significant impact on customer satisfaction
and loyalty, marketing mix has no significant impact on
customer satisfaction and loyalty; Customer value has
significant impact on customer satisfaction and loyalty,
and customer satisfaction has significant impact on
customer loyalty,
Keywords:- Loyalty , Service Quality, Marketing Mix,
Value, Satisfaction.
I. INTRODUCTION
At present almost all airlines have programs to make
loyal customers, where all of them have similar programs.
Travelers collect points by taking personal trips or business
trips with their partners using airlines, which then points
can be exchanged for air travel or other prizes. The entire
loyalty program is designed for the simple purpose of
giving a reason for passengers to continue using certain
flight services. And now loyalty program users are a very
profitable source of revenue for airlines - in fact, they have
also been adopted by low-cost carriers (LCCs) such as
AirAsia, Jetstar and Cebu Pacific. How can airlines be able
to get greater loyalty from today's travelers who are
increasingly diverse, have to influence, and are faced with
more choices than ever before? Building customer loyalty
is not easy with the increasing number of airlines.
With the characteristics of an aviation services
business with high levels of product risk and timeliness
being important for consumers, finding the ideal model is
difficult to build without combining the variables of service
quality, marketing mix, and customer value into an
inseparable part as a management effort in increasing
customer satisfaction (customer satisfaction).
The low passenger satisfaction with airlines, one of
the main problems caused by several flights often delay,
this was stated by the Ministry of Transportation about the
on time performance (OTP) of six airlines in Indonesia for
the period January-June 2013 or Semester I The OTP value
of an airline is fairly good if the value is above 80%, if the
value is above 70% then the OTP of the airline is fairly
normal, whereas if the OTP value of the airline is below
70% then it is considered bad. From this evaluation, several
factors were found to cause flight delays, namely technical,
non-technical and weather factors. Operational technical
factors are factors of delay caused by airport conditions
(outside of airline management) such as airports cannot be
used, runway cracks, delays in refueling, and queues of
aircraft that will take off or landing at the airport.
Second, non-technical operational factors, namely
flight delays caused by airline management such as flight
crew delays, catering delays, delays due to waiting
passengers who will check-in, aircraft unpreparedness and
late handling on land. These factors accounted for 49.63%
or as many as 36,702 flights. Third, the weather factor with
a percentage of 15.84% or as many as 11,713 flights.
Fourth, other factors, namely flight delays caused by
outside airline management, operational techniques, and
weather, such as riots or demonstrations in the airport area.
These factors accounted for 2.57% or as many as 1,902
flights.
While the factors causing flight cancellations include:
First, operational technical factors with a percentage of
0.50% or as many as 370 flights. Second, operational non-
technical factors 2% or as many as 1,481 flights. Third,
weather factors are 7.74% or as many as 5,726 flights, and
fourth, other factors are 0.13% or as many as 94 flights.
From the data above shows that the problem of flight
delays caused by the biggest factor is non-technical
operations caused by airline management, it will affect the
performance of the service and the assessment of
consumers.
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ISSN No:-2456-2165
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From the identification of the problems above, there
are several factors that affect the satisfaction and loyalty of
airline customers, including the quality of service they feel,
the products of the airline, the promotions they do and the
customer value they get. Based on the formulation of this
problem, the following research questions were asked.
Is there an effect of service quality on consumer
satisfaction in the domestic low-cost-carrier flight
service industry in Indonesia?
Is there an influence on the service marketing mix on
the satisfaction of the low-cost-carrier domestic aviation
services industry in Indonesia?
Is there an influence of customer value on customer
satisfaction in the domestic low-cost-carrier flight
service industry in Indonesia?
Is there an effect of service quality on consumer loyalty
in the low-cost-carrier domestic aviation industry in
Indonesia?
Is there an effect of the service marketing mix on
consumer loyalty in the low-cost-carrier domestic
aviation industry in Indonesia?
Is there an effect of customer value on consumer loyalty
in the low-cost-carrier domestic aviation service
industry in Indonesia?
Is there an influence of customer satisfaction on
consumer loyalty in the low-cost-carrier domestic
aviation service industry in Indonesia?
II. LITERATURE REVIEW
One important factor that is considered by consumers
in buying a flight service product is the service factor,
which is related to the service or information provided by
the flight attendant to passengers. Service is reflected in the
five dimensions of service quality, namely employee
attitudes and behavior, Access, Reliability, Recovery, and
Reputation, according to Fathi and Farahmand (2013) the
better the staff's ability to provide services, the more
satisfied consumers will be. In addition, the consumer's
decision to choose to use aviation service product or the
reason consumers switch to competitors is inseparable from
the influence of the marketing mix (7P), namely product,
price, place, and promotion, people, process, physical
evidence. Thus, the right strategy is needed in making a 7P
combination so that the products offered by the company
can produce levels of customer satisfaction that have
implications for customer loyalty. This statement is
supported by Raj and Arokiasamy (2012) who found that
consumer loyalty is determined by the marketing mix that
has been done by the company. Cengiz (2007) also states
that the marketing mix affects the level of consumer
satisfaction, which in turn will affect consumer loyalty. In
addition to service quality and marketing odors, according
to Cengiz (2007) Costumer Value also influences consumer
satisfaction and customer loyalty as reflected in 4
dimensions, namely transparency, comfort, social value,
monetary value.
A. Effect of Service Quality on Consumer Satisfaction
The relationship between service quality and
consumer satisfaction according to the thoughts of Hui,
Kandampully and Juwaheer (2009) along with the thoughts
of Lai, Griffin, and Babin (2009) which states that service
quality has a positive effect on customer satisfaction.
According to Schnaars in Hasan (2009) satisfied consumers
can provide a good basis for repeat purchases and the
creation of consumer loyalty. Sanka (2012) revealed that
there is a positive and significant correlation between
dimensions of service quality and customer satisfaction.
According to Bedi in Ming et al. (2010) providing high
quality services is a must for achieving consumer
satisfaction. The research is in line with Naeem and Saif
(2009) who find that consumer satisfaction is the result of
service quality.
Bahar et al. (2009) state user satisfaction is a major
factor in assessing service quality, where consumers assess
the performance of services received and that are felt
directly to the product of service. Munawaroh's research
results (2005) state that good service quality is very
important in creating customer satisfaction. Other research
shows that unlike Hu's (2012) findings, Wardhani's (2006)
study found that to be able to survive and win the
competition in the aviation services industry, airline
companies need to have excellent service quality compared
to competitor companies because consumers will only be
loyal if the quality of services provided in accordance with
consumer expectations. The results of Wardhani's research
(2006) confirm that it is not enough for aviation service
companies to be able to exist in the aviation industry only
to promote the marketing mix strategy but it is necessary
for companies to implement integrated marketing and
service mix in an effort to increase perceived value and
customer satisfaction.
Based on the results of these studies, the following
hypotheses can be established:
H
1
: Service quality affects customer satisfaction
B. The Effect of Marketing Mix on Consumer Satisfaction
According to Kotler and Armstrong (2012) product
quality is a characteristic of a product related to its ability
to meet stated or implied consumer needs. Quality has a
direct impact on product performance so that it is closely
related to Costumer Value and satisfaction. Prices affect the
level of sales, profits, and market share that can be
achieved by a company. According to Xia, Yang, Jackson,
Stoffa, and Sen (2004) price justice refers to the consumer's
judgment whether the price set by the seller is reasonable or
not, acceptable to the consumer or not. The results of the
study of Xia, et al. (2004) price factors influence consumer
satisfaction and customer loyalty, the findings of this study
are reinforced by the results of Herrmann et al. (2007) who
found that consumer satisfaction was directly affected by
price perceptions.
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Widagdo (2011) states that one of the factors that can
influence consumers in purchasing a product is intensive
promotion. Promotion is essentially a form of marketing
communication aimed at driving demand. What is meant by
marketing communication is marketing activities that seek
to disseminate information, influence and or remind target
markets for companies and their products to be willing to
accept, buy, and be loyal to the products or services offered
by the company concerned.
Distribution here is related to efforts to facilitate and
facilitate the delivery of products from producers to
consumers so that their use is as needed. Companies must
determine what methods and channels will be used to
deliver products to consumers, this will certainly form the
selection of distribution channels that can work well so that
products can reach consumers and meet their satisfaction.
Asgharpoour (2012) states that distribution factors
provide facilities for consumers; or provide access to a
product. Asgharpoour's research results (2012) found that
the distribution intensity had a significant positive effect on
customer satisfaction.
Based on the results of these studies, the following
hypotheses can be established:
H
2
: Marketing Mix influences Consumer Satisfaction
C. Effect of Costumer Value on Consumer Satisfaction
Value is an estimate of consumers about the total
ability of a product to meet their needs. The value of each
product actually depends on how far the product can
approach the ideal product, including the price.
Management must be able to know where and how to offer
high value. A high value will result in customer
satisfaction. This is supported by research Tam (2004)
which shows the fact that perceived value has a positive
effect on customer satisfaction.
Based on the results of these studies, the following
hypotheses can be established:
H
3
: Costumer Value affects Consumer Satisfaction
D. Effect of Service Quality on Consumer Loyalty
Research by Manjunath and Aluregowda (2013)
shows that service quality is an important element in
creating customer satisfaction and loyalty. Siddiqi (2011)
states consumer loyalty results from high-quality service
and customer satisfaction. Akbar and Parves (2009)
explained that service quality and loyalty have a positive
and significant relationship.
In making policies to increase loyalty, service quality
needs to be considered because it affects customer loyalty
(Yani, 2004).
Based on the results of these studies, the following
hypotheses can be established:
H
4
: Service Quality influences Consumer Loyalty
E. Effect of Marketing Mix on Consumer Loyalty
The marketing mix can be used as a marketing tool
that makes it easy for companies to achieve their marketing
goals. The components in the marketing mix include
product, place, price, promotion. The results of Maulindah's
(2011) research found that there was a significant positive
effect on product, place, price, promotion on consumer
loyalty. Meanwhile, Cengiz and Yayla (2007) formed a
research model by hypothesizing that the marketing mix as
a single variable has many implications both directly and
indirectly on customer satisfaction, perceived value,
customer loyalty, and word of mouth. The results of the
study prove that the marketing mix influences both directly
and indirectly on customer satisfaction, perceived value,
customer loyalty, and word of mouth.
In contrast to Cengiz and Yayla (2007), the findings
of Alfin and Alhabsji (2013) found that service quality and
product quality have a significant effect on corporate image
and customer satisfaction, and proven corporate image has
a significant effect on customer satisfaction and customer
trust, but the corporate image has no effect on customer
satisfaction. If the findings of Cengiz and Yayla (2007) find
four elements of the marketing mix have a significant effect
on customer satisfaction, perceived value, customer loyalty,
and word of mouth, in contrast to Owomoyela and
Olasunkanmi's (2013) research which found that the price
element has no significant effect on customer loyalty. From
the several studies conducted above, it is seen that each
research has a different model framework and the
implications for loyalty and word of mouth are also
different.
Based on the results of these studies, the following
hypotheses can be established:
H5: Marketing Mix influences Consumer Loyalty
F. Effect of Customer Value on Consumer Loyalty
Yang and Peterson (2004) found the perception of
customer value has a positive effect on customer loyalty,
customer satisfaction has a positive effect on customer
loyalty, the perception of customer value has a positive
effect on customer satisfaction. Novianti et al (2019) and
Pan et al (2011) found that consumer satisfaction has a
positive effect on consumer loyalty. Atalik and Arslan
(2007) examined the effect of customer value on consumer
loyalty in the aviation service industry in Turkey, the study
departed on the thought that there has been a shift of
marketing activities that only focus on issues of quantity,
quality, functionality, availability, accessibility, delivery,
price shifts to Costumer Value creation. The results found
that Costumer Value had a significant positive effect on
consumer loyalty.
Based on the results of these studies, the following
hypotheses can be established:
H6: The Value of the Customer influences Consumer
Loyalty
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G. Effect of Consumer Satisfaction on Consumer Loyalty
In the research of Molina et al. (2007), Molaee et al.
(2013) and Anggraeni and Kerti Yasa (2012) stated that
there is a positive and significant influence between
customer satisfaction and customer loyalty. Anton in Singh
(2006) states that repurchase intentions, recommending
products or services, loyalty and profitability have a
positive relationship with satisfaction. Hallowell (1996)
which states that customer satisfaction is a prerequisite for
consumer loyalty. Loyal consumers have a lower tendency
to switch brands, are less price-sensitive, buy more and
more often, become the strong word of mouth, create
business referrals. Based on the theoretical review above,
the framework of this research can be elaborated as
follows:
H7: Consumer Satisfaction influences Consumer Loyalty
Based on the results of the hypotheses above, the
conceptual model of this study can be described as in
Figure as follows:
Fig 1:- Conceptual Framework
Hipotesis
Based on the framework in the picture above can be
used for research models, then the research hypothesis can
be formulated as follows:
H1: Quality of service affects customer satisfaction in the
low-cost carrier airline service industry in Indonesia.
H2: The marketing mix affects customer satisfaction in the
low-cost carrier airline service industry in Indonesia.
H3: Costumer Value influences customer satisfaction in the
low-cost carrier airline industry in Indonesia.
H4: Service quality influences consumer loyalty in the low-
cost carrier airline service industry in Indonesia.
H5: Marketing mix influences consumer loyalty in the low-
cost carrier airline service industry in Indonesia.
H6: The value of the customer influences consumer loyalty
in the low-cost carrier airline service industry in Indonesia.
H7: Consumer satisfaction influences consumer loyalty in
the low-cost carrier airline service industry in Indonesia.
III. RESEARCH METHDOLOGY
The design in this study belongs to causal design,
which is a design that aims to analyze the relationship
between one variable with another variable. In order to
fulfill the design, the research was conducted descriptively
and explosively. Descriptive research to describe or
describe the condition of each research variable after using
empirical data, while explanation research to explain the
causal relationships between research variables. For testing
hypotheses used quantitative techniques with multivariate
analysis methods, including the development of structured
equation models (SEM).
This research was conducted from January 2017 in the
form of collecting preliminary data and information in
order to determine the problems indicated in the research
object. This research was conducted at Terminal 2,
Soekarno-Hatta Airport in Tangerang, Banten, a gathering
place for people who were leaving or had arrived on a low-
cost carrier. The list of names of airlines in Indonesia
included in the low-cost carrier group is Citilink, Lionair,
Air Asia and WingsAir. In this study, the study population
was all consumers who had carried out flight activities
The sampling technique in this study uses a
probability sampling technique that is a sampling technique
that provides equal opportunities for each element
(member) of the population to be selected as a sample
member. The sampling technique in this study uses
judgment sampling by selecting respondents who have just
arrived at the Terminal -Final terminal:
Soekarno-Hatta Airport, Tangerang, Banten Province;
Juanda Airport, Surabaya, East Java Province;
Kualanamu Airport, Medan, North Sumatra;
Halim Perdana Kusuma Airport, Jakarta, DKI Jakarta
Province, and
Adi Sutjipto Airport, Yogyakarta.
The respondent waits at various resting places to
continue the journey home. The selected respondents were
users of low-cost-carrier flights from the 4 brands above
that were used at least 2 times in a row. Sampling was done
at the airport because passengers still experience
remembering and they can feel directly tangible. In
addition, guarding the objectivity of passengers who have
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actually boarded a plane. This research will use 200
samples
IV. DATA ANALYSIS
The goodness of Fit Analysis
To find out whether the proposed structural model is
compatible with facts or empirical data (goodness of fit), it
is carried out with various criteria, namely:
Absolute fit indices,
Incremental fit índices,
Parsimony fit índices.
According to Hair et al. (2010), the use of 4-5
goodness of fit criteria is sufficient as long as each of the
goodness of fit criteria is represented.
A. Absolute fit indices criteria
Chi-Square Probability Value
Chi-Square probability value of at least 5% shows that
empirical data has similarities with the theory. Because the
probability value is 0.0 under 5%, the model is not fit.
Root Mean Square Error of Approximation (RMSEA)
RMSEA value of less than 5% percent is a measure
that the model is fit, values ranging from 0.05 to 0.08
indicate that the model has a reasonable error estimate.
Therefore, because the probability value is 0.07 below 0.1,
the model is fit.
The goodness of Fit Index (GFI)
GFI value is a measure of the accuracy of the model in
producing observed matrix covariance. GFI values range
between 0 and 1. GFI values greater than 0.9 indicate a
good model fit. Therefore, because the GFI value is 0.85,
the model is not fit.
B. Incremental fit indices criteria
Adjusted Goodness of Fit Index (AGFI)
AGFI values greater than 0.9 indicate a good model
fit. Thus, because the AGFI value is 0.80, the model is not
fit.
Normed Fit Index (NFI)
NFI values generally above 0.9 indicate the model is
fit. Therefore, because the NFI value is 0.70, the model is
not fit.
Comparative Fit Index (CFI)
CFI values generally above 0.9 indicate a fit model.
Therefore, because the CFI value is 0.77, the model is not
fit.
Incremental Fit Index (IFI)
IFI values are generally above 0.9 to indicate that the
model is fit. Therefore, because the IFI value is 0.77, the
model is not fit.
Relative Fit Index (RFI)
RFI values generally above 0.9 indicate the model is
fit. Therefore, because the RFI value is 0.64, the model is
not fit.
C. Parsimonious fit indices criteria
Expected Cross-Validation Index (ECVI)
The model is fit if the ECVI is smaller than the ECVI
independence value. Therefore, because the ECVI value is
2.11 and ECVI independence is 8.54, the model is fit.
Akaike Information Criterion (AIC)
The model is suitable if the AIC value is smaller than
the independence AIC value. Because the AIC value is
457.52 and the Independence value of AIC = 1698.73, the
model is fit.
Consistent Akaike Information Criterion (CAIC)
The model is suitable if the CAIC value is smaller
than the saturated and independence CAIC values.
Therefore, because the CAIC value is 672.44, the Saturated
CAIC value is 1322.65 and Independent CAIC is 1784.7,
the model is fit.
Parsimonious Goodness of Fit Index (PGFI)
If the PGFI value is> 0.60, then the model is fit.
Therefore, because the PGFI value is 0.65, the model is fit.
Root Mean Residual (RMR)
RMR value below 0.1 will be better. Thus, because
the value of the RMR is 0.084, the model is fit. Based on
the results of the Goodness of Fit test, it is known that from
the Incremental fit indices criteria there is not a single
benchmark that states the fit model. Therefore it is
concluded that there will be at least one test of influence
between variables that are not significant.
Structural Model Analysis
After analyzing the measurement model, so does the
analysis of goodness of fit, next is the structural model
analysis to determine the effects of variables in the research
model. As a starting point, if the statistical value of t is
greater than the statistical value of t (table) of 1.96, the
magnitude of the effect is significant or real.
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Fig 2
Evidence of the Research Hypothesis
The influence of Service Quality on Consumer
Satisfaction is 0.34. Statistical value of t arithmetic =
3.13 above the value of t table (n> / = 30; α 5%) = 1.96.
Thus, the null hypothesis is rejected, so that Service
Quality influences Consumer Satisfaction.
The magnitude of the influence of the Marketing Mix
on Consumer Satisfaction is 0.04. Statistical value t =
0.24 under 1.96. Thus, the null hypothesis is accepted,
so that the Marketing Mix does not significantly
influence Consumer Satisfaction.
The influence of Customer Value on Consumer
Satisfaction is 0.33. The statistical value of t arithmetic
= 2.26 above 1.96. Thus, the null hypothesis is rejected,
so that Customer Value influences Consumer
Satisfaction.
The influence of Service Quality on Consumer Loyalty
is 0.24. The statistical value of t arithmetic = 2.19 above
the value of 1.96. Thus, the null hypothesis is rejected,
so that Service Quality influences Consumer Loyalty.
The magnitude of the influence of the Marketing Mix
on Consumer Loyalty by 0.01. Statistical value t = 0.08
below 1.96. Thus, the null hypothesis is accepted, so
that the Marketing Mix does not significantly influence
Consumer Loyalty.
The influence of Customer Value on Consumer Loyalty
is 0.27. The statistical value of t arithmetic = 2.00 above
the value of 1.96. Thus, the null hypothesis is accepted,
so that Customer Value influences Consumer Loyalty.
The effect of Consumer Satisfaction on Consumer
Loyalty is 0.38. The statistical value of t arithmetic =
1.99 above the value of 1.96. Thus, the null hypothesis
is rejected, so that Consumer Satisfaction influences
Loyalty
V. DISCUSSIONS AND FINDINGS
Based on the results of descriptive analysis and
causality analysis, there are analysis results that need to be
discussed further because they are not in line with
expectations. The results of the analysis are summarized in
the following sub-chapters, namely:
Influence test
A. Service Quality affects Consumer Satisfaction.
The results of this study indicate that service quality
affects customer satisfaction. One factor that determines
customer satisfaction is the customer's perception of the
quality of services provided. Customer perception of
service influences:
The level of customer interest
Customer satisfaction
Score
The process of perception of a service does not require
the customer to use the service first. The factors that
influence customer perception or service are:
Price
Imagery
Service phase
Moment of service
This is in line with research conducted by Jangdish, N
Sheth (1991). Airlines need to pay attention to factors that
influence customer perceptions of the service industry.
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According to Michael Porter a company is also
influenced by the industrial environment. The strength of
the competition is
The threat of new entrants (barries to new entry)
The threat of substitution products
Bargaining power of suppliers (bargaining power of
suppliers)
Bargaining power of buyers (bargaining of customers)
Fighting between members of the industry (rivalry
among exiting firms)
From the consumer side, consumers have influence or
bargaining power. Consumers demand better service
quality and also want lower prices.
B. The marketing mix has no significant effect on
consumer satisfaction.
In this study, the result is that the Marketing Mix does
not significantly influence consumer satisfaction. The
marketing mix is a set of tools that marketers can use to
shape the characteristics of services offered by customers
(Keller, 2009). This study shows that the marketing mix
does not affect satisfaction, it shows that all the sets of tools
used do not all affect. The findings in this study are that
facilities such as comfortable seats have little value and the
service for quite a lot of delays but other indicators almost
all have high values, so indicators that have low values will
be covered with other values. Consumers have the choice
of several low-cost carrier airlines that provide competitive
offers starting from price, products offered, promotions,
and location. In the porter, theory states a low-cost
leadership strategy (overall cost leadership) (Porter, 1985).
In this theory, the characteristic is that the company
concentrates its attention on the selling price of cheap
products to reduce production costs, promotion and
research. In this study, all airlines put forward low prices
C. Customer Value influences Consumer Satisfaction.
In this study shows that customer value affects
customer satisfaction, consumers will see how much value
is issued with the benefits received. This is in line with the
theory of Keen (2003: 273) which states that Cost-Benefit
Analysis as an analysis that describes the business reasons,
why or why specific investment is not chosen. According to
Remenyi (2007: 152), defining Cost-benefit Analysis
(CBA) is to evaluate whether the effectiveness of benefits
is greater than the cost or easily meets the needs of the
community. In line with this theory, the consumer will
evaluate the costs he incurred.
D. Service Quality affects Consumer Loyalty.
In this research, it is shown that service quality
influences consumer loyalty. This is in line with this
research, according to the theory from Griffin, Jill (2012),
in building customer satisfaction an airline must pay
attention to one of them variable service quality. Good
service quality will affect customer satisfaction. Customer
satisfaction will have an impact on consumer loyalty. In
this study, customer satisfaction is an intervening variable.
The results of this study indicate that the customer
satisfaction variable as an intervening variable strengthens
the consumer loyalty variable. The quality of services
starting from the airline's physical facilities used by
consumers such as bus facilities, check-ins, aircraft
conditions need to be considered by the airline
E. The marketing mix does not significantly influence
Consumer Loyalty.
In this study shows that the marketing mix does not
significantly influence consumer loyalty, it shows that the
airline needs to innovate to strengthen consumer loyalty. In
accordance with Kim's theory (2017; 44) it is necessary to
raise. Airlines need to improve services and expand market
share and expand market segments. The quality of services
provided must focus on consumers by providing
improvements including by:
Improve facilities such as wider seat spacing.
Continuously communicating with customers, one of
them is by creating loyalty programs, for example with
the LLCC (Loyalty Low-Cost Carrier) program.
In order to expand market segments, it is necessary to
create new programs to increase consumer loyalty. Loyalty
programs that can be developed are loyalty programs that
penetrate the family. This program can be called the Low-
Cost Carrier Family Loyalty
F. Customer Value influences Consumer Loyalty.
In this study, it was found that customer value affects
consumer loyalty. In this study in line with research
conducted by Kim (2017) new innovations and creativity
are needed. Companies need to create value innovation to
their customers, namely by providing the maximum benefit
but by reducing costs as low. This requires innovation and
creativity. In this study, researchers suggest that airlines
make innovations that can provide more benefits for
consumers including trimming the check-in process,
consumers who already have tickets directly get a seat,
consumers will be faster in the check-in process, so that
consumers will be more efficient in time. Other strategies
that can be used to increase customer value by reducing
costs include reducing in-flight entertainment, operating
second-hand aircraft, and using airports that are not playing
airports. If costs can be reduced, it is hoped that there will
be units that can be improved in quality such as service
processes and other marketing mix strategies.
G. Consumer Satisfaction influences Consumer Loyalty.
In this study, customer satisfaction affects customer
loyalty, it shows that airline customer satisfaction must be
built, from customer satisfaction will form loyalty. This
theory is consistent with Griffin's theory, Jill (2005: 31),
customer satisfaction is a measure for companies to get
loyalty from consumers and loyalty is a reliable measure to
predict growth and sales. In building consumer loyalty
when it comes to flight, management needs to look at who
is the market segment of the LCC. The LCC Aviation
Market Segment is on average Baby Boomers, Generation
X and Generation Z for which they have their own
characteristics.
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The loyalty of each generation is very different, if in
the past loyal customers were measured by making
repeated purchases regularly, buying between product lines
and services, referring to others and showing immunity to
competitors' attractiveness. The airline must see that the
factors that affect loyalty are very segmented. Several
factors affect loyalty:
Factors that influence loyalty are internal and external
factors, internal factors consist of psychological factors
and personal factors. While external factors consist of
social, cultural, social class factors.
Internal factors include motivation, perception, lifestyle
and the learning process
Compilers of social factors are people's life style, work
environment and friends, family environment and the
media
Personality and values is one of influencing consumer
loyalty
From these factors, the airlines need to study these
factors to make recommendations in decision making.
VI. IMPLICATION FOR MANAGEMENT
Summary results of the descriptive analyzes of each
dimension that were rated low on each variable are restated.
Quality of Service. In this variable, the Access
dimension is consumer disappointment over the fact
that departure is delayed and the lack of information is
fast and transparent, and service rights to consumers as
a result of delays outside the time limit are still low.
Marketing mix. In this variable, in terms of the
marketing mix offered to consumers, it turns out that
complained about is the service product offered, such as
a narrow seat and the type of food and drinks offered
are too simple, especially expensive. In addition to
products, the service process of employees at check-in
locations and on hospitality aircraft as well as firmness
is inadequate. Services for delays / adequate delay still
do not provide satisfaction to consumers, because the
airline has not provided maximum service in the event
of a delay. The form of compensation given to
consumers in the event of a delay still does not provide
satisfaction to consumers. The departure schedule (take-
off) from the assessment results still has a negative
value, meaning that there are still airlines that do not
match the scheduled departure. From the findings
above, it is necessary to study the types of consumers
today, at this time consumers do not only focus on
product-based (quality products) but they need customer
satisfaction, customer care, customer engagement and
empowering the customer through real-time delivery.
Customer Value. In this variable, the social dimension
with indicators of pride felt and sense of prestige to be
shown, such as those of friends/colleagues / family,
does not appear.
Consumer satisfaction. Consumers have tried to
suppress the hopes or desires of airline services.
However, even though consumer expectations are not
grandiose, the reality is that there are still
disappointments.
Loyalty. In this variable, there are indicators that
become a barrier to consumer loyalty, namely
consumers will choose the cheapest price of the
available airlines, except when on the specified
schedule only 1 type of airline will serve it.
Based on the results of the low assessment, further
deepening is done to understand it and provide input
solutions to management.
The top management of the low-cost carrier airline
periodically must evaluate the company's strategy and
functional strategies related to the marketing mix of
services, especially those applied to this type of aviation
services. Attention especially on marketing mix that has
a direct impact on consumers, so that customer
satisfaction, values, and loyalty can be improved.
In terms of the service process, namely how the airline
office at the airport when helping passengers check-in,
serving passengers in the cabin and exiting the plane, as
well as luggage safety. In the service process, it is
expected that a pleasant attitude from the officer must
be maintained so that it remains in an optimal position.
Therefore, the causes that make officers feel dissatisfied
with work and have a bad impact when serving
passengers must be known and addressed.
In the event of a delay or departure delay. One cause of
the delay is due to a series of delays that are difficult to
avoid. Officers should have been able to serve
passengers who seemed disappointed with the delay.
This type of logging airline determines the frequency of
departures with many time schedules, even though the
number of passengers can be served with fewer time
schedules. As a result, there was an intent to divert
passengers' departure on the next flight. Therefore, this
delay is deliberate by airlines in the field. Departure
delays or advance flight departure hours even though
informed by email, SMS, or WA is a disappointment for
prospective passengers, because it will change the plan
that was previously prepared.
Implement a management information system as
follows: Passenger Service Solution, Internet Booking
Engine System, Self Service System, Cargo Integration
Solution, and Network and Schedule Management
System so that all can be monitored properly.
Education and Training
As an aviation service industry, aspects of the
availability of human resources both in quantity and
quality, qualifications, and competencies must be
possessed. Cases of the behavior of pilots, stewards or
officers on the runway should not need to occur if the
development of human resources goes well. Therefore, HR
development through the implementation of training
programs and HR development must be carried out
effectively. Likewise, the monitoring and evaluation of HR
performance must be able to be carried out according to
high-quality standards and good SOPs.
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VII. CONCLUSION
A. Conclusion of Descriptive Analysis results
All findings have been analyzed based on descriptive
studies and have also been discussed. It is known that
consumers judge badly for delayed departures as well as the
lack of information about them; narrow seating and the type
of food and drink offered is too simple; and the attitude of
employees at check-in locations and on planes where
friendliness and firmness are inadequate.
However, the discussion section has ended by
providing input to the airline management one of the
solutions that need to be considered based on the input
from the respondent. With improvements in the positive
direction for consumers, it is expected that the level of
consumer satisfaction will increase and also have an impact
on true loyalty..
B. Conclusion of Causality Analysis
Based on the results of the causality analysis in the
form of influence between latent variables in the model set
in chapter 3, it is concluded that not all hypotheses have a
positive and significant influence.
The accepted hypotheses are:
Quality of service to consumer satisfaction of the low-
cost-carrier domestic aviation service industry in
Indonesia
Customer value for consumer satisfaction in the low-
cost-carrier domestic aviation service industry in
Indonesia
Quality of service to consumer loyalty in the low-cost-
carrier domestic aviation industry in Indonesia
Customer value for consumer loyalty in the low-cost-
carrier domestic aviation service industry in Indonesia
Consumer satisfaction with consumer loyalty in the
low-cost-carrier domestic aviation service industry in
Indonesia
The rejected hypotheses are:
Marketing Mix does not affect Consumer Satisfaction,
whereas according to the concepts and results of
previous studies there is a positive and significant
effect;
Marketing Mix does not affect Consumer Loyalty,
whereas according to the concepts and results of
previous studies there is a positive and significant
effect.
SUGGESTION
Based on the results of research and discussion, and
adjusted for the benefits of this study, the suggestions
proposed are:
A. For the Government
Public sector companies that serve the public
specifically Indonesian citizens must be protected under
the laws and regulations derived from it
Specifically for government airlines, they must
participate in controlling public sector services such as
the formation of the Indonesian national airline
association.
The government should review the departure schedule
proposed by the airline.
Implementation of flight schedule implementation must
be closely monitored by flight route supervisors.
The addition of a new airport specifically for LCC, of
course, can be a solution for the already very heavy
traffic and reduce schedule delays.
Determination of lower and upper fares must be
reviewed, so that flight safety must not be reduced,
because all airlines must have the same level of safety,
both LCC and medium and full service.
To reduce the level of accidents the government needs
to make rules to monitor financial reports, maintenance
reports and aircraft maintenance on a regular basis
B. For the company's management
Based on the results of this study the company must
pay attention to the following matters:
Management needs to review the service strategy to find
out weaknesses as well as to develop better service
programs including:
Provide better quality services such as comfortable
chairs and other facilities that meet consumer comfort
The speed of response from the airlines to complaints.
Guarantees against schedule delays, airlines should
adhere to the schedule according to permits and
recommendations set by the Ministry of Transportation,
so that consumers are not disadvantaged.
The airline must be able to provide several alternative
communications that can be used to make it easier for
passengers to meet in asking for help.
Airlines must be able to convince customers that the
aircraft they are using is able to guarantee the safety of
passengers so that responsibility and professionalism of
work from pilots or staff of the airlines are required.
Management needs to review departure schedules in
order to minimize the risk of departure delays rather
than excessive departure schedules.
There should be a separation between LCC aircraft
airports and large planes. For example, special airports
to accommodate aircraft for the LCC fleet are stationed
outside the city. Meanwhile, the main airport is near the
city.
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Management needs to review what customer value has
been given to consumers because consumers need
functional, emotional and spiritual values. Today's
consumers not only need quality products but already
need speed. Consumers at that time were still product
based, then increased customer-based, customer
engagement reached empowering the customer through
real-time delivery.
Management needs to show commitment to meet the
wants and needs of customers, try to be better than
competitors and all elements work together to create
superior customer value.
Management needs to examine how companies see their
customers, companies must be able to see their
customers holistically have mind, heart, and spirit.
Management needs to review how the ratio of loyalty
measurement can be measured through Purchase Action
Ratio or Brand Advocacy Ratio so that it can measure
the market share of the company and the company's
growth.
The management should pay attention to the Minister of
Transportation's Regulation No. 89 of 2015 concerning
handling flight delays (delay management), so that
consumers are not disadvantaged.
From the results of different tests found some
differences from the demographic data of respondents,
this shows that the airline must better understand the
characteristics of consumers, the company needs to do
more market research on the characteristics of
consumers.
C. For further research
The results of this study recommend that further
research be carried out in the form of:
Further research to explore why the marketing mix of
low-cost carrier services does not affect passenger
satisfaction and passenger loyalty
Further research to explore this research model when
examined on non-low cost carrier flight services so that
it can be used as a comparison with low-cost carrier
flight services.
Further research is suggested to include elements of
people mix and process mix separately to be used as
variables
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