E-learning is an educational system that uses information technology in the learning process. One of the platforms that can be used in developing e-learning is Moodle. This research investigates the implementation of e-learning in the learning process in the Computer Education Department. The purpose of this research is to examine the use of E-learning in supporting the learning process. The respondents of this research are 130 active students of the Computer Education Department from the 2016 to 2018 Batches. The method used is a research questionnaire whose data are analyzed using the SPSS Statistics 25 program. This research shows no significant effect of student expectation on e-learning in supporting the learning process. Meanwhile, ease of e-learning, e-learning performance, and social influence for the benefit of e-learning have a significant effect on supporting the learning process and improve learning independence.

This paper reports on MDM of a combination of helical-phased modes comprising ring modes and HG modes. 44Gbps data transmission is achieved by a wavelength division multiplexing (WDM)-MDM system of two center-launched helical-phased ring modes and two 3µm radially offset HG mode on wavelengths 1550.12nm and 1551.72nm for a 1500m-long multimode fiber. The power coupling coefficients, degenerate mode group delays and bit error rates are analyzed for different HG modes and radial offsets.

This paper reports on MDM of a combination of helical-phased modes comprising ring modes and HG modes. 44Gbps data transmission is achieved by a wavelength division multiplexing (WDM)-MDM system of two center-launched helical-phased ring modes and two 3µm radially offset HG mode on wavelengths 1550.12nm and 1551.72nm for a 1500m-long multimode fiber. The power coupling coefficients, degenerate mode group delays and bit error rates are analyzed for different HG modes and radial offsets.

The Internet of Things (IoT) refers to the interconnected framework of web-connected objects that can collect and transfer information over a remote network without requiring any human intervention. The rapid progression in the development of IoT-based devices and their expansion towards making the medical care facility financially more savvy, proactive, and customized, has given rise to the development of the "Internet of Medical Things (IoMT)" that are assumed to function proactively in all domains of the healthcare industry. Within this framework, the IoMT-based healthcare system delivers various advantages, such as quick and unfailing treatment, enhanced communication, cost minimization, etc., through the exploitation of several new technologies. For instance, machine learning has significantly helped with the exploitation of various healthcare systems; fog computing not only minimises the cost of communication but also provides low latency; blockchain delivers its users a much better way of protecting sensitive and confidential information and data they possess. In this survey, a comprehensive elaboration of the IoMT-based healthcare systems based on modern technologies was conducted. This article describes various techniques and solutions of IoMT healthcare systems in the context of emerging technologies, and the related future trends and applications for a better understanding of how IoMT can enhance the healthcare industry now and in future.

Although weblogs are a popular medium of communication, their influence on society is unclear. In particular, studies that investigate the impact and influence of blogosphere on the community and government have not been fully exploited. Such studies are important especially to the government in reshaping and realigning the policies related to new media. This article presents the outcomes of a study to identify measures on how to assess the influence of weblogs. At least four dimensions are critical for measuring weblog influence, which are recognition (number of in links and number of visitors), activity generation (number of comments and number of posts), novelty (number of out links), and credibility of a blog (number of information presentation type, number of factual errors, and number of hyperlink citations). It is hereby proposed that these dimensions make up a measure called the Blog Influence Index.

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