THE USE OF DELONE AND MCLEAN IS SUCCESS MODEL AND UTAUT APPROACH IN REVIEWING ANY FACTORS WHICH INFLUENCE KOMINFO PORTAL SYSTEM

摘要

Department of Data Center and Information Facilities (Pusdatin) of the Ministry of KOMINFO is one of the Ministries in Indonesia that has the task of carrying out affairs in the field of communication and information technology in the government. The Web Portal Kominfo has many benefits every day for the performance of employees. At present the web Portal used by internal parties experiences obstacles such as the SLA that is not yet clear and sometimes slow response. So that it inhibits operational activities. For this reason management of the Ministry of Information and Technology Center conducts an evaluation on the Communication and Information Web Portal system so that employees have no difficulty in using it. The purpose of researching and analyzing how successful the implementation of the web portal system at the Ministry of Communication and Information, with the method used DeLone and McLean, and two additional variables from UTAUT. The population is internal employees who already have accounts to use the web portal and the number of samples needed in the study of 356 samples, and data processing using Smart PLS. This research uses several variables from DeLone & McLean, including: Information Quality, System Quality, Service Quality, Use, User Satisfaction, Net Benefit, and two additional variables from UTAUT, namely Performance Expectancy and Effort Expectancy. Some of the variables involved in this study include some influence on the Communication and Information web portal. The success of information systems is strongly influenced by several factors, where these factors are very dependent on the conditions and environment in which the system is implemented. To find out which factors are the most dominant, a factor analysis is needed by first submitting a number of hypotheses on factors that are theoretically considered to influence the success of the system. Data processing results show that 6 out of 11 hypotheses are considered to be proven, namely that user satisfaction is strongly influenced by second main factors as follows: information quality, service quality, and net benefits influenced by Intention to use , User Satisfaction, and the remaining any 5 hypothesis are rejected.