Customers’ satisfaction on the implementation of Ladies Coach for KTM Komuter.

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3.1 Introduction
In this chapter will discuss about the method that been use to collect all the data. I also include the technique that been use to make the research.
3. Methodology for Data Collection
3.2 Sampling technique
In order to get the result I choose to use sampling techniques. Sampling techniques are scientific methods of selecting samples from populations. As far as possible, the samples selected must be random and representative of the population from which the samples are selected. The sampling technique used in each study depends on the nature of the population of interest. For this project I have chosen convenience sampling. Convenience sampling is recommended for pre-testing of questionnaires, the gathering of ideas and
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Questionnaires
 I distributed 60 of questionnaire to the female and male customer of KTM Komuter at the Bank Negara stations.
Observation
 I also observed the KTM Komuter environment and try by myself using the ladies coach.
3.3.1 Independent variable
The independent variables used in this study are respondents’ preference and overall satisfaction toward Ladies Coach of KTM Komuter.
3.3.2 Dependent variable
Dependent variables is specific service quality attributes which consist of KTM Komuter frequency, fare, punctuality, seat availability and comfortable, facilities inside the transportation and cleanliness.

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CHAPTER 4 - ANALYSIS AND RESULT
4.1 Introduction
After the data are analyzed completely, the result of descriptive analysis is explained in the following subsections respectively.
4.2 Samples and profiles
Descriptive Analysis
Majority of the respondents are female with 68.3% (41) and 63.3% (38) were single. Most of the respondents selected were Malaysians and 61.7% (37) of them were Malay. Forty three (71.7%) respondents were teenagers (18 – 29 years old) and 56.7% (34) of the respondents were graduated. Other demographic profile percentages are listed in Table 1.
Table 1: Demographic Profile percentage characteristics
No. Variables Frequency Percent %
1 GENDER
Female
Male
41
19
68.3
31.7
2 MARITAL STATUS
Single
Married
Divorced
38
20
2
63.6
33.3
3.3
3 AGE
Less than 18
18-29
30-49
Above 50
4
43
12
1
6.7
71.7
20.0

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