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ISSN No:-2456-2165
Abstract:- The objectives of this research is to analyze With the characteristics of an aviation services
impact service quality, service marketing mix, and business with high levels of product risk and timeliness
customer value on customer satisfaction and customer being important for consumers, finding the ideal model is
loyalty in low-cost carrier airline industry, in Indonesia. difficult to build without combining the variables of service
The research design used in the study is explanatory quality, marketing mix, and customer value into an
design which explains the causal relationship among inseparable part as a management effort in increasing
variables and scoring all indicators for each variables. customer satisfaction (customer satisfaction).
The study location is in Terminal-2 Soekarno-hatta
Airport, Tangerang, Banten Province. Object of airlines The low passenger satisfaction with airlines, one of
researched are Citilink, Lionair, Air Asia dan the main problems caused by several flights often delay,
WingsAir. The dissertation used primary data from this was stated by the Ministry of Transportation about the
questionnaire filled out by the 200 respondents. The on time performance (OTP) of six airlines in Indonesia for
sample selection used judgment sampling.The analysis the period January-June 2013 or Semester I The OTP value
tool used of research used descriptive statistics such as of an airline is fairly good if the value is above 80%, if the
persentage, mean, and chi-square, and Structural value is above 70% then the OTP of the airline is fairly
Equation Modeling (SEM) using Lisrel. The descriptive normal, whereas if the OTP value of the airline is below
analysis shows that the level of service quality, service 70% then it is considered bad. From this evaluation, several
marketing mix, customer value, customer satisfaction factors were found to cause flight delays, namely technical,
and customer loyalty is well perceived. The results of non-technical and weather factors. Operational technical
relationship among variables stated that the Service factors are factors of delay caused by airport conditions
Quality has significant impact on customer satisfaction (outside of airline management) such as airports cannot be
and loyalty, marketing mix has no significant impact on used, runway cracks, delays in refueling, and queues of
customer satisfaction and loyalty; Customer value has aircraft that will take off or landing at the airport.
significant impact on customer satisfaction and loyalty,
and customer satisfaction has significant impact on Second, non-technical operational factors, namely
customer loyalty, flight delays caused by airline management such as flight
crew delays, catering delays, delays due to waiting
Keywords:- Loyalty , Service Quality, Marketing Mix, passengers who will check-in, aircraft unpreparedness and
Value, Satisfaction. late handling on land. These factors accounted for 49.63%
or as many as 36,702 flights. Third, the weather factor with
I. INTRODUCTION a percentage of 15.84% or as many as 11,713 flights.
Fourth, other factors, namely flight delays caused by
At present almost all airlines have programs to make outside airline management, operational techniques, and
loyal customers, where all of them have similar programs. weather, such as riots or demonstrations in the airport area.
Travelers collect points by taking personal trips or business These factors accounted for 2.57% or as many as 1,902
trips with their partners using airlines, which then points flights.
can be exchanged for air travel or other prizes. The entire
loyalty program is designed for the simple purpose of While the factors causing flight cancellations include:
giving a reason for passengers to continue using certain First, operational technical factors with a percentage of
flight services. And now loyalty program users are a very 0.50% or as many as 370 flights. Second, operational non-
profitable source of revenue for airlines - in fact, they have technical factors 2% or as many as 1,481 flights. Third,
also been adopted by low-cost carriers (LCCs) such as weather factors are 7.74% or as many as 5,726 flights, and
AirAsia, Jetstar and Cebu Pacific. How can airlines be able fourth, other factors are 0.13% or as many as 94 flights.
to get greater loyalty from today's travelers who are From the data above shows that the problem of flight
increasingly diverse, have to influence, and are faced with delays caused by the biggest factor is non-technical
more choices than ever before? Building customer loyalty operations caused by airline management, it will affect the
is not easy with the increasing number of airlines. performance of the service and the assessment of
consumers.
Root Mean Square Error of Approximation (RMSEA) Consistent Akaike Information Criterion (CAIC)
RMSEA value of less than 5% percent is a measure The model is suitable if the CAIC value is smaller
that the model is fit, values ranging from 0.05 to 0.08 than the saturated and independence CAIC values.
indicate that the model has a reasonable error estimate. Therefore, because the CAIC value is 672.44, the Saturated
Therefore, because the probability value is 0.07 below 0.1, CAIC value is 1322.65 and Independent CAIC is 1784.7,
the model is fit. the model is fit.
The goodness of Fit Index (GFI) Parsimonious Goodness of Fit Index (PGFI)
GFI value is a measure of the accuracy of the model in If the PGFI value is> 0.60, then the model is fit.
producing observed matrix covariance. GFI values range Therefore, because the PGFI value is 0.65, the model is fit.
between 0 and 1. GFI values greater than 0.9 indicate a
good model fit. Therefore, because the GFI value is 0.85, Root Mean Residual (RMR)
the model is not fit. RMR value below 0.1 will be better. Thus, because
the value of the RMR is 0.084, the model is fit. Based on
B. Incremental fit indices criteria the results of the Goodness of Fit test, it is known that from
Adjusted Goodness of Fit Index (AGFI) the Incremental fit indices criteria there is not a single
AGFI values greater than 0.9 indicate a good model benchmark that states the fit model. Therefore it is
fit. Thus, because the AGFI value is 0.80, the model is not concluded that there will be at least one test of influence
fit. between variables that are not significant.
Fig 2
A. Conclusion of Descriptive Analysis results Based on the results of research and discussion, and
All findings have been analyzed based on descriptive adjusted for the benefits of this study, the suggestions
studies and have also been discussed. It is known that proposed are:
consumers judge badly for delayed departures as well as the
lack of information about them; narrow seating and the type A. For the Government
of food and drink offered is too simple; and the attitude of Public sector companies that serve the public
employees at check-in locations and on planes where specifically Indonesian citizens must be protected under
friendliness and firmness are inadequate. the laws and regulations derived from it
Specifically for government airlines, they must
However, the discussion section has ended by participate in controlling public sector services such as
providing input to the airline management one of the the formation of the Indonesian national airline
solutions that need to be considered based on the input association.
from the respondent. With improvements in the positive The government should review the departure schedule
direction for consumers, it is expected that the level of proposed by the airline.
consumer satisfaction will increase and also have an impact Implementation of flight schedule implementation must
on true loyalty.. be closely monitored by flight route supervisors.
The addition of a new airport specifically for LCC, of
B. Conclusion of Causality Analysis course, can be a solution for the already very heavy
Based on the results of the causality analysis in the traffic and reduce schedule delays.
form of influence between latent variables in the model set Determination of lower and upper fares must be
in chapter 3, it is concluded that not all hypotheses have a reviewed, so that flight safety must not be reduced,
positive and significant influence. because all airlines must have the same level of safety,
both LCC and medium and full service.
The accepted hypotheses are: To reduce the level of accidents the government needs
Quality of service to consumer satisfaction of the low- to make rules to monitor financial reports, maintenance
cost-carrier domestic aviation service industry in reports and aircraft maintenance on a regular basis
Indonesia
Customer value for consumer satisfaction in the low- B. For the company's management
cost-carrier domestic aviation service industry in Based on the results of this study the company must
Indonesia pay attention to the following matters:
Quality of service to consumer loyalty in the low-cost- Management needs to review the service strategy to find
carrier domestic aviation industry in Indonesia out weaknesses as well as to develop better service
Customer value for consumer loyalty in the low-cost- programs including:
carrier domestic aviation service industry in Indonesia Provide better quality services such as comfortable
Consumer satisfaction with consumer loyalty in the chairs and other facilities that meet consumer comfort
low-cost-carrier domestic aviation service industry in The speed of response from the airlines to complaints.
Indonesia Guarantees against schedule delays, airlines should
adhere to the schedule according to permits and
The rejected hypotheses are: recommendations set by the Ministry of Transportation,
Marketing Mix does not affect Consumer Satisfaction, so that consumers are not disadvantaged.
whereas according to the concepts and results of The airline must be able to provide several alternative
previous studies there is a positive and significant communications that can be used to make it easier for
effect; passengers to meet in asking for help.
Marketing Mix does not affect Consumer Loyalty, Airlines must be able to convince customers that the
whereas according to the concepts and results of aircraft they are using is able to guarantee the safety of
previous studies there is a positive and significant passengers so that responsibility and professionalism of
effect. 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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