tugas bahasa inggris bisnis II

All material which contained in this blog, it just for english assignment in Gunadarma University. This blog wasn't intend to plagiarism from the origin article.

This study intended to determine whether variables such as revenue sharing is equivalent frequency of withdrawal of savings and significant effect on the number of new customers. From 2 (two) variables, what variables dominate the number of new customers at Al-karomah Martapura BMT. The information obtained from this research can be used as input for the BMT Al-karomah Martapura to be able to increase the number of new customers, according to a predetermined annual goals is to increase the number of new customers.
Data of this study are secondary data obtained directly from the Institute of Islamic Finance Al karomah Martapura BMT. The data is taken either through the annual report document or other documents that support for research data. The required data is the data equivalent Ratio Profit Sharing Savings, Financing and Disbursement Frequency Number of new customers who were taken from January 2003 until October 2004.
Analysis model used in this study is multiple regression model. To determine the significance of this research variables simultaneously on the number of new customers and the F test technique was used to determine the significance of the research variables partially to the number of new customers to use testing techniques t. Using a significance level of 5%.
The results showed that: all variables simultaneously (Equivalent Ratio For X1 = X2 = Frequency Results and Financing Disbursements) has a significant influence on the variable Y (Number of New Customers) at BMT Al karomah Martapura with count equal to 5.607 M is bigger than the F table that is equal to 3.52 at 5% level. Partial variable X1 (Equivalent Ratio Profit Sharing) had no significant effect on variable Y (Number of New Customers) with 0.473 t to less than t table is 1.729 at level 5% and partial variable X2 (Frequency Financing Disbursements) has an influence a significant correlation with Y (Number of New Customers) with 3.346 t to greater than t table is 1.729 at 5% level. Determinant coefficient (R2) of 0.371 or 37.1% indicated that X1 and X2 variables contributed 37.1% towards increasing the number of new clients, while the remaining 0.629 or 62.9% influenced by other variables that do not exist in this study .