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Message Design Animation In Elearning To Stimulate Students To Design Messages Using Technolog Muhammad Lukman Haris Firmansah
International Journal of Educational Research & Social Sciences Vol. 3 No. 2 (2022): April 2022
Publisher : CV. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51601/ijersc.v3i2.353

Abstract

This research is research and development by utilizing animation in e-learning to form new knowledge for students. In addition to knowledge, this research also develops students' skills in designing messages using technology. The results are in the form of videos, animations and blogs, these are the results of the use of ADDIE research and development designs. The ADDIE model is oriented to the competition and conditional audience. The competency results showed that the attendance of 30 students showed an average of 82%, assignments 76%, formative evaluation 82%, summative evaluation 86%, making papers 72%, discussion 88%, work results 86%, and presentations 82%. The ADDIE model also offers validation of the animation media used. The 3 validators showed that the categories were good for 1) The attractiveness and clarity of the message, 2) it was easy to understand both visually and auditory, 3) both the message relevance (systematic and structured). The reason this research was applied is that the use of animation is also used to support the presentation of teaching materials where during the pandemic, bold learning is applied. The use of animation is a lesson plan which is then continued with face-to-face learning with schynchronous zoom integrated with the Moodle application. The summative and formative scoring system uses a google form that is connected to Moodle using a link. In this study also assess the material from the animation of 3 validators in the form of story boards. The average results of the use of messages have a valid and contextual theoretical basis keywords.
Visualization and Message Design Concepts of Presenting Statistical Data through Videos to Improve Understanding Muhammad Lukman Haris Firmansah
International Journal of Multidisciplinary Sciences and Arts Vol. 1 No. 1 (2022): International Journal of Multidisciplinary Sciences and Arts, Article August 20
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (239.793 KB) | DOI: 10.47709/ijmdsa.v1i1.1463

Abstract

Learning statistics generally still presented in the form of stories in the books. This study aims to determine the visualization of the basic concepts of presenting statistical data using video. video designs stories into real stories experienced by students so that fact objectivity is created. it aims to make the messages in the story match the experiences experienced by students. this creating recaling knowledge and creating understanding. The research method used in this research is qualitative research with the phenomenological type, where the video is visually used to present messages, namely the concept of presenting data in tables and diagrams. The presentation technique in the video is in the form of a message demonstration that contains facts, concepts, procedures and principles. As for the data analysis used later, namely the observation data, interviews and documentation after using the video by means of data triangulasi. The research of this study were to compare the observation data, interviews and documentation in the form of student understanding data. Based on the observation data, it shows that students pay attention to the video and can explain the story again in the video. interview data shows and answers many type of data and its presentation. documentation data in the form of activity data in class at the second meeting compared to data at the first meeting without using video. Observations, interviews and the results obtained that observations with the aim of knowing whether students understand the sequence in the story is worth 74%, remembering the presentation data 86%, understanding the explanation of data in tables and diagrams 84%, explaining and explaining problems when the video is repeated 75%. This data was obtained when making observations and asking students when they were shown a video.