User Satisfaction Analysis of Online Public Access Catalog Using End User Computing Satisfaction Method

Libraries are organizations with the activities of collecting, processing, disseminating, preserving, and presenting information that in which the Online Public Access Catalog (OPAC) have been widely adopted. However, the analysis of OPAC satisfaction is still rare. This study discusses the analysis of user satisfaction of OPAC. This study aims to determine the effect of content dimensions, accuracy, format, ease of use, and timeliness using the End User Computing Satisfaction (EUCS) method, a method for measuring the level of user satisfaction of a system. SPSS software was used to analyze user satisfaction. Sig. value of the content variable is greater than 0.1 (0.667), hence the hypothesis zero (H0) is accepted. It means that the content variable has no effect on user satisfaction. Sig. value for the accuracy variable is less than 0.1 (0.009), hence the


Introduction
Currently, the development of information and communication technology is quite rapid in the era of globalization and affects various aspects of life, both in government and private institutions, as well as on entertainment and education. This makes people aware of the importance of information throuth an information media, a medium that can be used in the information transaction process. In library operation, information techology can be used to support the service (Putra, 2014).
Libraries are organizations with the activities of collecting, processing, disseminating, preserving, and presenting information. The development of information and communication technology has brought changes in various sectors including the world of libraries. The use of information and communication technology has brought big changes in the world of libraries, such as activities that were previously carried out manually can now be done online (Pudjiono, 2006).
The digital library or digital library offers convenience for users to access electronic sources at unlimited times and opportunities. Users can use these information sources without having to be tied to library operating hours such as working hours or library opening hours (Saleh, 2010). Since the Regional Libraries have implemented OPAC services, until now there has never been an analysis of user satisfaction with these OPAC services. By knowing the effect of content, accuracy, appearance, user ease of 47 use, and timeliness can be used as materials to evaluate in providing library services, and can improve good and satisfying service.
Based on the background described above, the authors are interested in analyzing the OPAC service to determine the level of satisfaction of OPAC users. Therefore, a research was conducted to analyze user satisfaction of OPAC using EUCS Method.

Research Methods
EUCS is a method for measuring the satisfaction level of information system users by comparing expectations and reality, when viewed from the system side End User Computing Satisfaction is an overall evaluation of all information system users based on their experience in using the system (Suprapta, 2018 Figure 1 shows the research framework. First, Problem Identification step identify the problem. Identification of research process problems is important because it can determine the quality of the research carried out and to formulate problems that will become the background contained in the OPAC which will serve as problem formulations. From the identified problems presented in the background, the problem formulation obtained in this study is "How to analyze the OPAC using the EUCS method.

2) Dependent Variable (Y)
Dependent variable (dependent) is a variable that is influenced by other variables. The dependent variable consists of user satisfaction.

b. Research Hypothesis
The hypothesis is a temporary answer whose answer must be proven first used in research. The hypothesis can be accepted and rejected as evidence of whether or not there is a relationship between the variables used.
H1: There is an influence on the variable content, accuracy, format, ease of use timeliness on the variable user satisfaction. H0: There is no influence on the variable content, accuracy, format, ease of use timeliness on the variable user satisfaction. Questionnaires are distributed to all users who access the OPAC service.
The population in this study were 526 users who accessed OPAC. The sampling technique used is probability sampling using simple random sampling, the size of the sample to be taken is using the Slovin formula as below: n=526 / 6.26 (4) n=84.0255591 (5) Based on the calculation of the sample that has been done using Slovin opinion, the sample to be used in this study is 85 people.
Data analysis in Figure 1 contains many tests as follow.

a. Validity Test
The validity test is a test of the level of reliability of the measuring instrument used. The instrument is said to be valid if r count > r table with a significance value of 0.1 and df = n-2 it is said that the question item is valid, but if r count < r table then the question item is invalid.

b. Reliability Test
Reliability test is the extent to which the results of measurements using the same object will produce the same data, if the correlation is 0.7, it is said that the item provides a sufficient level of reliability, on the contrary, if the correlation value is below 0.7, it is said that the item is less reliable. Conclusions are the answer to a predetermined goal, while suggestions must be written in a study that must be appropriate based on the research results and conclusions that have been made (Sugiyono, 2018). The final step and drawing conclusions are taken to obtain a proper understanding and determine the effect of the variable content, accuracy, format, ease of use, timeliness on user satisfaction on the Online Public Access Catalog.

Validity Test
The

Normality Test
The normality test in this study was conducted to see whether the data tested was normally distributed or not. Satisfaction. 0.195 is greater than 0.1, so it can be concluded that the data is normally distributed.

Multicollinearity Test
Multicollinearity test was conducted in this study to test whether there is intercorrelation or collinearity between independent variables in a regression model. Intercolerance is a linear relationship or a strong relationship between one independent variable and another. A good regression model is a model that does not occur multicollinearity. The multicollinearity test was used to determine the significance value of the Variance Inflation Factor (VIF).
The criteria for decision making from the multicollinearity test are: a. If the VIF value is <10 and the Tolerance Value is greater than 0.1, it can be concluded that the test in these variables is declared to have no multicollinearity.
b. Conversely, if the VIF value> than 10, it can be concluded that there is multicollinearity. From the multicollinearity test, the VIF value of the content variable is simultaneously (together) affect the user satisfaction variable (Y).

Coefficient Of Determination Test (R Square)
The coefficient of determination test is a test used to measure the accuracy or similarity of the regression line derived from the hypothesis. The coefficient of determination is used to see the contribution given by the independent variable to the dependent variable.

Conclusions
Based on the results of research on the Online Public Access Catalog User Satisfaction Analysis using the End User Computing Satisfaction method, the following conclusions can be drawn. First, based on the analysis of the Multiple Linear Regression Test, the Sig. value of the content variable was 0.667 that greater than 0.1, hence H0 is accepted and prove the content variable has no effect on user satisfaction. Sig. value. of the accuracy variable was 0.009 that less than 0.1, hence H0 is rejected and prove that the accuracy variable has an effect on user satisfaction. Sig. value of the format variable was 0.054 that less than 0.1, hence H0 is rejected and prove that the format variable had an effect on user satisfaction. Sig. value of the ease of use variable was 0.700 that greater than 0.1, hence H0 was accepted and prove that the ease of use variable had no effect on user satisfaction. Sig. value of timeliness variable was 0.120 that greater than 0.1, hence H0 is accepted and prove that the timeliness variable has no effect on user satisfaction. Second, based on the results of the F test, it can be concluded that the Sig. value was 0,000 that less than 0.1, hence it can be concluded that the variable content (X1), accuracy (X2), format (X3), ease of use (X4), timelines (X5) simultaneously (together) affect the user satisfaction variable (Y).