![]() ![]() It uses the electronic signature God and software to collect and extract the original characteristic data of user’s electronic signature and then extracts the characteristics of average writing speed, duration, and average pressure on the basis of these data for analysis. This study uses the current mainstream computer vision technology to compare and analyze the handwriting dynamic characteristics of electronic signature and conventional signature. ![]() This method is frequently utilized in e-government, e-commerce, banking and insurance, medical care, and other industries. They may effectively cope with the electronization of traditional signature handwriting and ease the difficulties of authenticating the identification information of the signatory of electronic documents when used in conjunction with electronic documents. In addition to the other activities or services, technology has enabled human beings to write on electronic devices, which is due to the fact that these devices will generate electronic signature handwriting that is extremely useful for human beings. It is this technological-assisted equipment that has drastic effects on the lifestyle of every creature in general and human beings in particular. Also, the results show that average of Y in western Indonesia is greater than in eastern Indonesia with difference of 20.45.ĭuring the last two or three decades where innovations in technology have been dominant, especially the rapid development of electronic information technology, various types of electronic devices have been developed for different application areas. The results give an estimated order one semiparametric regression model of scholastic aptitude test scores with three knots of 70.64 80.32, and 90.67, and minimum generalized cross validation value of 204.42. Therefore, in this research model Y affected by t (as nonparametric component) and X (as parametric component) use longitudinal semiparametric regression based on least square spline estimator. To investigate Y from year to year we can use longitudinal data. Place of SIC is dummy variable, so we can use parametric regression approach. ![]() One of estimator in nonparametric regression is least square spline that include knots which can accommodate locally properties and give good flexibility. Association between t and scholastic aptitude test score ( Y ) have no certain pattern (as nonparametric component). This test is affected by some factors for instances percentage of student candidates who pass to enroll in that enrolment year ( t ), and place of these colleges (SIC) where the student candidates enroll ( X ). Scholastic aptitude test is one of tests used to select student candidates who want to enroll to the state Islamic colleges (SIC) in Indonesia. ![]()
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