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Inventory Information System is an information technology-based system that aims to assist organizations or institutions in managing and monitoring inventory more efficiently and provides an overview of the inventory information system, the main focus of its development, and the expected benefits of implementing this system. Using a manual system for each product written with a book, of course, is not efficient can result in  inventory data easily lost and damaged, easy to occur errors or data loss.  To overcome the occurrence of these problems is there is a web-based inventory information system application to solve the occurrence of errors that are often found in the world of work. Based on the results obtained This research can overcome the problem of data loss, data errors, with the help of this information system can help solve problems that often occur. This information system is made according to the needs of the White Elephant University efficiently and accurately.

A mental illness is a syndrome, psychological, or behavioral disorder in which a person is dysfunctional at work. The problem is that medical personnel or doctors who are professionals in the field of psychology are not comparable to mental illness, especially teenagers. The initial diagnosis by web based and using the Extreme Programming (XP) method. Meanwhile, the main objective of the research is to determine the quality of the web system based on the perceptions of respondents, namely Darul Ihsan Vocational High School students. Measuring the quality of an expert web system using the WebQual instrument. There are three aspects of WebQual that will be measured, namely: usability, information, and interaction quality. Based on the questionnaires distributed to respondents, the expert web system was developed to fulfill the three aspects of WebQual (usability, information, and interaction, with a score of 83.78%, 80%, and 82.97% in the good category.

Stikubank University (Unisbank) Semarang has implemented a web-based learning system known as a smart campus in which there is an integrated smart campus e-learning model. E-learning applied by Unisbank management is an online learning medium by utilizing information technology to make it easy for all students and lecturers to use in the teaching and learning process. This study aims to analyze the success of university e-learning based on the adaptation of the Delone and McLean information system success model. Primary data and secondary data were used in this study, a questionnaire instrument was used to obtain primary data. Furthermore, the data is processed quantitatively using the Smart PLS 3.0 software. The results of the data test were then analyzed descriptively to provide a narrative description of the research results. The results of research data processing showed that (1) Student assessment of system quality in the e-learning system had no significant effect on intention to use with a p-value of 0.729; (2) Student assessment of system quality in the e-learning system has a significant effect on user satisfaction with a p-value of 0.002; (3) Student assessment of information quality in the e-learning system has a significant effect on intention to use with a p-value of 0.025; (4) Student assessment of information quality in the e-learning system will have a significant effect on user satisfaction with a p-value of 0.000; (5) Student assessment of service quality in the e-learning system has no significant effect on intention to use with a p-value of 0.166; (6) Student assessment of service quality in the e-learning system will have a significant effect on user satisfaction with a p-value of 0.000; (7) User satisfaction related to the e-learning system has a significant effect on intention to use with a p-value of 0.000; (8) Intention to use e-learning system has a significant effect on net benefits p-value 0.004; (9) User satisfaction in the e-learning system has a significant effect on net benefits with a p-value of 0.000. Keywords: PLS, SEM, SmartPLS 3.0, E-Learning, Information Systems success, Delone & McLean Model.