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Journal : Journal of Information System, Technology and Engineering

The Effectiveness Analysis of Distance Learning by Optimizing the Use of Information Technology Dede Ridho Firdaus; Budi Harto; Handy Ferdiansyah
Journal of Information System, Technology and Engineering Vol. 1 No. 1 (2023): JISTE
Publisher : Yayasan Gema Bina Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61487/jiste.v1i1.4

Abstract

In this study, the IS Success Model is used to analyze data on the use of information technology for distance learning during a pandemic in schools in order to determine the factors that influence the application of e-learning in remote learning systems. This study employed a quantitative approach to identify the elements that influence the effectiveness of using technology in distance learning activities. Data collection and data analysis procedure is needed for this research because this research uses quantitative approach to the problem. With respect to the research approach, researchers use methods, analytical techniques, and tools appropriate to the approach quantitatively to get precise results. The research has been successful in examining how information technology is employed in distance learning activities using the Delone and McLean models. As a result, it is possible to make the following conclusions: Google Classroom is the second most widely used program for use in remote learning activities after Zoom. Users' happiness with the usage of apps is influenced by information quality, service quality, user characteristics, and system use in this study.
The Application of Support Vector Machine Method to Analyze the Sentiments of Netizens on Social Media Regarding the Accessibility of Disabilities in Public Spaces Handy Ferdiansyah; Nurul Komaria; Ilham Arief
Journal of Information System, Technology and Engineering Vol. 1 No. 1 (2023): JISTE
Publisher : Yayasan Gema Bina Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61487/jiste.v1i1.8

Abstract

According to the Ministry of Social Affairs of the Republic of Indonesia, based on data from the Central Bureau of Statistics, there will be 22.5 million people with disabilities in Indonesia. As time goes on, it is possible that the number of people with disabilities will increase. So, facilities and infrastructure that are friendly to people with disabilities must be given great attention. Various comments from the public regarding this matter arose on social media, especially Twitter, both positive and negative. There are lot of tweet in Indonesian related to this matter, which will be classified using the Support Vector Machine algorithm with the Radial Basis Function kernel using Grid Search and cross-validation. The parameters used are in the range C, γ and produce a maximum accuracy of the parameter combination, result of this study was aligned with previous research that a good and appropriate parameter combination of C and γ in the RBF kernel SVM method will produce maximum accuracy of the classification results.