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Quality of service has a very strong influence on customer satisfaction and on company performance. Improving the quality of service to satisfy and retain customers is one of the most challenging and important issues in recent decades, this is due to its strong effect on business performance in various aspects. One of the factors to meet the quality of service we need to improve the quality of online services. This study aims to determine the determinants of success (CSFs) in improving the quality of online services using a systematic literature review approach to papers published in 2013-2016. According to the findings of 21 relevant papers, there are 8 factors successfully applied: privacy, web design, accuracy of information/quality, ease of use, reliability, security, responsiveness, usability. These proven factors can be used to improve the quality of online services for online marketing and sales.

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The purpose of this research to solve problems in making decisions on key performance indicator system report. To obtain the data needed for this research, the author uses several methods such as observation, interviews, and literature and uses analytical methods Balanced Score Card (BSC), which researchers use to get the perspectives of the company as a balanced and uses analytical methods PIECES to identify problems. The process of managing the information presented in this system ranging from data entry process, store and update it at any time so that employees and departments "head" to get the relevant information, the latest more easily and in real time, the system is also equipped with a graphic KPI report. With a system of this KPI Report, the manager can see the development of the company annually, making it easier to manage employee appraisal data and make recap the results of employee assessments and facilitate in taking a decision based on the results of this assessment. Keywords: employee assessment, Key Performance Indicator, Report

IoT with E-learning is intended to support data collection from devices and share to other devices in use for effective E-learning applications from Smart Campus. This study aims to conduct studies related to online learning models by utilizing Internet of Everything (IoE) technology to support Revolution 4.0. This study aims to support the latest communication paradigm in which the objects of everyday life will be equipped with a series of appropriate protocols and enable them to communicate well with each other as part of the internet. IoE will help improve learning by leveraging the large subject data generated by these objects to provide dynamic services to educators, learners, and even content developers. Using qualitative research methods This research uses a questionnaire to find out the views and assessments of the community in this case online learners regarding online learning as one of the impacts of the Covid-19 pandemic and produces an online learning model that is supported by an integrated system between learning media such as LMS and devices. others use IoE. The results of this study support the implementation of Smart campuses that allow the use of IoE methodologies to make them always ready in certain network areas.