STUDENT BEHAVIOR IN UTILIZATION INTERNET OF LIBRARY BASED ON INFORMATION
Universitas Semarang
Abstrak
Tujuan penelitian untukmengujipengaruhfaktorsosialterhadapminatdan dampaknya padaperilakumahasiswadalampemanfaataninternetperpustakaansebagai media informasi.Metodeyang digunakanadalahmetode surveidenganmenyebarkankuesioner.Datapenelitianyang diperolehdidasarkanpadapersepsimahasiswa Universitas Semarang ataspemanfaataninternet perpustakaanyangdilaksanakan olehPerpustakaanUniversitasSemarangsebagai mediainformasimahasiswa,denganrespondensebanyak95orang.Metode penelitianmenggunakanujivaliditas,ujireliabilitas,danujiasumsiklasik,ujihipotesis,modelregresilinierberganda(path analysis)denganprogramSPSS23.Hasil pengujianfaktor sosialsecara langsung dan tidak langsungmelaluiminat pemanfaataninternet perpustakaantidakberpengaruh terhadapperilakumahaiswadalampemanfaataninternetperpustakaanyang dilaksanakan olehmahasiswaUniversitas Semarang sebagai mediainformasimereka</p>
Abstract
The research objective is to examine the effect of social factors on intention and their impact on student bebavior in utilization internet of library as an information media. The method used is the survey method by distributing questionnaires. The research data obtained is based on the perception student of Universitas Semarang students on the utiliation internet of library carried ont by the research Universitas Semarang Library as a student information media, with 95 respondents. The method uses validity fest, reliability fest, and classic assumption fest, hypothesis fest, multiple linear regression model (path analysis) with SPSS 23 program.The results of testing social Jactors directly and indirectly throngh the intention in using internet of library do not effect on student bebavior in utilization internet of library carried out by Universitas Semarang students as their information media
Keywords:
social factors
· intention
· bebavior
Introduction
Information is a resource that is no less important than factories, equipment, and other company assets. Information Technology (IT) has developed and expanded in all areas of life so that it can improve work effectiveness and efficiency. Large and risky funds are investments faced by the organization. In order to compete, an organization needs an evolving information system, so that decisionmaking tools are expected to be able to provide good information, not only among businesses and the government, but also to universities. In connection with this, information technology has a very important position in universities, especially the internet library. Internet libraries related to the use of computer / internet technology. Computer / internet based internet library is a series of hardware and software designed to transform data into useful information for universities, especially students in order to follow the teaching and learning process. The use of the internet as an individual's behavior to utilize information technology because of the benefits that will be obtained to assist in completing the work. When a technology is believed to be more useful, more important or provide a relative advantage, it will cause someone's interest to use the technology.” Information technology in higher education are expected to be used to improve the quality of student in learning, such as facilitating student to access the Internet easily by making it easy to get the information from online sites. The internet library conducted by the Universitas Semarang can help students and facilitate their lectures as well as information media. Therefore, the use of the internet library is greatly influenced by the behavior of students who use it. In Indonesia, research on the factors that influence the behavior of IT utilization has been carried out. Rahmawati’ and Tjhai* have examined the factors that influence the behavior of information technology utilization. The results of his research indicate that there is a positive and significant influence between social factors and the behavior of information technology utilization. On the other hand, Hasyim® found different research results, namely there was no influence between social factors on the utilization of information technology. Based on the inconsistency of the results of the research that occurred in the studies above, this study will solve the solution to the inconsistency by adding new variables as the intervening variable, namely the intention in using the internet library. From these things, as far as the researcher knows, the researchers have never been studied before and for the researcher this is a research gap that needs to be done. The research objective is to examine the effect of social factors on studen behavior in utilization internet of library with intention as an intervening variable.
Method
This study uses primary data obtained through the distribution of questionnaires to students of the Universitas Semarang Academic Year 2018/2019 which uses the internet of library in order to carry out its lectures as an information medium, which is also a population. The sample in this study was taken by simple random sampling technique with a total of 95 students at the Universitas Semarang. The method for collecting data is the survey method and from various supporting sources. Data analysis uses quantitative analysis with path analysis (using SPSS 23).
Discussion
Classical Assumptions The Normality Test shows that the data is normally distributed because it shows the value of Kolmogorov-Smimov X = 0.671; Z = 1416 and Y = 1.739 greater than 0.05, so the data in the regression model of this study were declared to be normally distributed. Multicollinearity test shows that all VIF values in the first regression result are variables X = 1.142 and the value of Tolerance variable X = 0.958 while the VIF value in the second regression result is variable X = 1.773; Z = 2.048 and the Tolerance variable value X = 0.452; Z = 0.506, the regression model does not occur multicollinearity. The results of the regression test 1 show that the influence between the social factors 2% of the library on the intention using the internet library does not have a problem of heterocedasticity. This is evidenced by the points that spread randomly and spread high above and below the number 0 on the Y axis which are irregular and do not form a specific pattern, so it is concluded that this test does not occur the problem of heterocedasticity. Based on regression test 2 shows that the influence between the social factors on student behavior in utilizing internet of library there is no problem of heterocedasticity. This is evidenced by the points that spread randomly and spread high above and below the number 0 on the Y axis which are irregular and do not form a specific pattern, so it is concluded that this test does not occur the problem of heterocedasticity. Hypothesis testing Hypothesis 1 will test the influence of social factors on the intentions of utilization internet of library. Hypothesis 1 testing was done through multiple linear regression with path analysis, determinant coefficient test, F statistical test and t statistical test. The Effect of Social Factors on the Intention Utilization Internet of Library Table 1 R?and t Test of Social Factors on the Intention Utilization Internet of Library Model R® Test Adjusted R t Test Standardized Coefficients Square Social Factors 0.352 (Beta) 0.028 Sig P 0.001 | 0.05 Table 1, the number of Adjusted R Square is 0.352, meaning that 35,2 % of social factors can be explained by intention utilization internet of library variables, while the variables. The remaining 64.8 % are explained by other causes outside the research first equation can be made to calculate the path coefficient that is by regression equation showing the hypothesized relationship. Z=bX+e Z =0,028 X+ 0.419 ()] w0t e value = (1-0.3522)° = (0.648)* = 0.419 Standardized beta coefficient of social factor 0.028 and significant (p <0,05) that is 0,001 means social factors have effect on the intention utilization internet of library. For the value of standardized beta coefficient 0.028 is the parh value pl. The Effect of Social Factors on Student Behavior in Utilization Internet Library through Intention Table 2 R? t and F Test of Social Factors on Student Behavior in Utilization Internet Library through Intention Model Social Factor R2 Test Adjusted R Square t Test Standardized Coefficients F i Test Table 2, the Adjusted R Sgnare number is 0.179 means that 17,9 % Intentions can be explained by social factors variables, while the remaining 82.1 % are explained by other causes outside the research variables. ANOVA test or F test, the value of F arithmetic is 3.108 with significance level of 0.032. Because the probability of 0.032 is greater than 0.05 then social factors and Intention do simultaneously. not affect the student behavior in utilization internet library Table 2, the path coefficient is calculated by making structural equation ie regression equation showing the hypothesized relation. In this case the equation of both is: Y Y =bX+b,Z+e =0.136X+0.020 Z +0.746.............(2) #re2 value = (1 — 0.136)* = (0.864 ) = 0.746 Value of standardized beta coefficient of social factor 0.136 and Intention 0.020 with significance level respectively 0.864 and 0.670. The value of standardized beta coefficient 0.136 is the path value p3 and the value of standardized beta coefficient 0.020 is the path value p2. Path Analysis Result of Social Factors on Student Behavior in Utilization Internet Library through Intention el =0.579 Intention @ pl1=0,028 Social Factors ® Figure 2 and = po=5 3=0,136 table 2 show that the direct =0.020 > Behavior 8] e2=10.746 influence of social factors on intention internet of library is positive 0.136 and significant 0.065 (above 0,05), so it can be concluded that social factors do not have direct effect on student behavior in utilizing internet library. While the indirect influence among social factors on student behavior in utilization internet library influence because it is above 0.05 i.e 0.670. through intention shows no significant Totally, the effects of social factors on student behavior in utilization internet library are: The direct effect of social factors on student behavior in utilization internet library (p3) = 0.136 The indirect effect of social factors on student behavior in utilization internet library (p1 x p2) = (0.028 x 0.020)= 0.001 Total effect of social factor correlation on student behavior in utilization internet library (p3 + (plxp2)) = (0.136 + 0.001)= 0.137 The results of path analysis in hypothesis test 1 states that there is no direct effect of social factors on student behavior in utilization internet library through intention . This indirect effect is supported by empirical evidence. This is because the multiplication values of standardized beta pl and p2 coefficients are smaller than the value of standardized beta p3 coefficient. It is possible to explain these results, namely: (1) The model is proven not good, because if they on the comparison of Adjusted R Sguare value with the estimated error, is that the standard error is larger. (2) The occurrence of errors in the data structure in this research includes : (a) the possibility that there is mistake of recording or inputting data to the computer; (b) the number and characteristics of the sample are only 95 people and the characteristics of the data obtained from the questionnaire is limited, means that the data limitations to be processed make the quality lower. This is because there are some respondents who do not fill correctly, consequently the results are not in accordance with reality. Overall it shows that social factors do not directly affect the student behavior in utilization internet library, while the intention do not have significant effect among social factors on student behavior in utilization internet library. Therefore Ha is rejected.
Conclusion
a. Social factors directly do not effect on student behavior in utilization internet library by showing insignificant results B.Social factors indirectly do no effect on student behavior in utilization internet library through intention by showing insignificant results