This article explores how college students adopt video conferencing software for distance education. This research aims to examine the factors that influence the spread of video conferencing programs in Indonesia. A video conferencing application is a multimedia program that generates audio and visual content to facilitate real-time, two-way communication between its users. Because of COVID-19, classes of all kinds are now being taken online. As a result, more people are turning to tools like video conferencing. Therefore, learning how to access student video conferencing software is crucial. The UTAUT 2 and Delone & McLean models will be integrated into the analysis. A total of 327 people answered the survey. Next, we used the PLS-SEM technique in smart pls 3.0 to analyze the data collected from the respondents. The R-Square value of 26.2% for the retention intent variable and 62.3% for the user satisfaction variable demonstrate that independent variables in the study can explain endogenous variables and that the remaining variance is influenced by factors external to the survey.
Savings dan Payment unit is one of the units of the Koperasi Pegawai Republik Indonesia Diponegoro University (KPRI). In the development of these units already have information systems infrastructure, namely the Cooperative Information Systems (SIMASPRI) and KPRI website. However, data processing on the system has not been integrated also not all business processes can be handled through the information system. SIMASPRI does not have features that allow members to carry out registration processes, loan applications, deposit payments, and installments online. So, members must come to the cooperative every time they want to carry out a registration or transaction process. Meanwhile, KPRI has a target for members to be able to process registration, deposit payments, apply for loans, and pay installments online using a website or mobile application. So it is necessary to improve the features and functions of the Cooperative Information Systems and KPRI website, as well as the design in the mobile version with the aim to offer convenience to members in accessing. Therefore, an analysis of business architecture and information system architecture design as a basic framework of business solutions to solve problems in optimizing the use of information technology. This study uses the TOGAF (The Open Group Architecture Framework) framework with the stages passed, namely preliminary, vision architecture, requirements management, business architecture and information system architecture consisting of data architecture and application architecture. From the analysis of the architectural design and approval of KPRI Diponegoro University manager, the proposed blueprint business architecture, data architecture and application architecture as the basic foundation needed to support business activities in the Saving dan Payment unit KPRI Diponegoro University.
The growing number of private transportation ownership from year to year creates congestion problems, especially in urban areas. Public transportation conditions such as the Rapid Transit Bus (BRT) are an alternative way to use transportation. BRT Trans Semarang Corridor 1 is the busiest public transportation route in Semarang City that stretches from Mangkang Terminal to Penggaron Terminal. About 50% of the passengers of BRT Trans Semarang Corridor 1 chose to walk to and from the bus stops. However, in reality, currently, the conditions of the pedestrian paths are less than optimal in creating pedestrian comfort, and the integration system is still minimal with various modes. The purpose of this study is to identify a travel demand model suitable for pedestrian BRT Trans Semarang Corridor 1 passenger using the new urbanism 3D approach (Density, Diversity, Design). Where the data collection for analysis needs using naturalistic observation techniques by looking at the condition of the object of research in a more real way directly to the field. Density analysis used descriptive statistical analysis methods and simulated interpolation of population and building density data using the ArcGIS 10.3 application to generate pedestrian demand for their environmental density. In analyzing diversity using the land-use distribution simulation method with ArcGIS 10.3 and FAR (Floor Area Ratio) analysis using the 2016 Sketchup simulation. Compile a pedestrian path model recommendation under pedestrian demand.
Nowadays, the utilization of Internet of Things (IoT) is commonly used in the tourism industry, including aviation, where passengers of flight services can rate their satisfaction levels towards the product and service they use by writing their reviews in the form of text-based data on many popular websites. These passenger reviews are collections of potential big data and can be analyzed in order to extract meaningful informations. Some text mining algorithms are already in common use, including the Bayes formula and Support Vector Machine methods. This research proposes an implementation of the Bayes and SVM methods where these algorithms will operate independently yet integrated with other modules such as input data, text pre-processing and shows output result concisely in one single information system. The proposed system was successfully delivered 1000 documents of passenger reviews as input data, then after implemented the pre-processing method, the Bayes formula was used to classify the document reviews into 5 categories, including plane condition, flight comfort, staff service, food and entertainment, and price. While simultanously, the positive and negative sentiment contained in the review document was analyzed with SVM method and shows the accuracy score of 83.6% for a training to testing set ratio of 50:50, while 82.75% accuracy for the 60:40 ratio, and 83.3% accuracy for the 70:30 ratio. This research shows that two different text mining algorithms can be implemented simultaneously in a effective and efficient way, while still providing an accurate and satisfying performance results in one integrated information system.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.