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Based on these criteria the obtained samples are 12 automotive and components companies in the period 2008-2012 in Indonesia Stock
Exchange :
Table 3.1 List of Sample
No Code
Company
1. ASII
Astra International Tbk 2.
AUTO Astra Otoparts Tbk
3. GJTL
Gajah Tunggal Tbk 4.
GDYR Goodyear Indonesia Tbk
5. BRAM
Indo Kordsa Tbk 6.
IMAS Indomobil Sukses International Tbk
7. INDS
IndospringTbk 8.
LPIN Multi Prima Sejahtera Tbk
9. MASA
Multistrada ArahSarana Tbk 10.
NIPS Nipress Tbk
11. PRAS
Prima Alloy Steel Tbk 12.
SMSM Selamat Sempurna Tbk
Sources: idx.co.id
C. Data Collection Method
The research uses secondary data. The type of data obtained through research literature which provide theoretical basis and frame of mind to
support primary data, as well as to support problem identification discussion Indriantoro et al, 2009. Secondary data refer to information gathered from
sources that already exist Uma Sekaran and Roger Bougie, 2010. This research data will be acquired from reports on the company’s website, annual
reports of company or the media reports.
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Secondary data used in this study are the annual report of automotive and components industry companies listed on the Indonesia Stock Exchange
in 2008-2012. Data obtained from the Indonesian, www.idx.co.id, Capital Market Reference Center CMRC at the Indonesia Stock Exchange IDX,
companies’ website and www.yahoofinance.com.
D. Data Analyze Method
The method of analysis data in this research is using statistical calculations, the name of application is SPSS Statistical Product and Service
Solutions 20.0 for windows. Once the necessary data collected in this study, and then performed the data analysis consisted of descriptive statistical
methods and test hypotheses : 1. Descriptive Statistic
The data in this study were analyzed with descriptive statistics. Descriptive statistical testing in this research basically is a process
transformation research data in a form of tabulation in order that can be easier to be understood and interpreted. Tabulation in generally is used by
researcher to obtain information about characteristics of primary variable in research. The measurement applied in this descriptive statistical testing
depends on the type of scale of measurement. The descriptive statistical testing obtains a picture or describes data that can be seen from median,
mean, mode, standard deviation, variance, maximum and minimum.
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2. Classical Test Assumption
a. Normality Test
According to Zulkifli Matondang 2009, normality tests are conducted in purpose to detect whether a set of data will be used as basic
start to test hypothesis is empirical data that meets the naturalistic nature. Naturalistic nature is a thought that phenomena symptoms occur in this
nature are natural and patterned. Widhiarso 2009 said that normality tests are some tests to measure whether our set of data having normality
distribution so it can be used in parametric statistic. Tests of normality become important because this is a parametric test and have to normal
distributed Haryadi and Winda, 2011. So, normality tests are some kind of tests to clarify whether the data obtained are normally distributed and,
importantly, represent the whole population or not. Researcher choose two tools to test whether the data is
distributed normally or not. 1 GraphAnalysis
According to Ghozali 2006 normality test can use histogram graph by seeing the form of curve in the graph Normal
Probability PlotP-P Plot namely with see at the spread of the
data dots on the diagonal axis from the normal chart. Basic for decision-making are:
