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All Journal Jurnal of Applied Multimedia and Networking
Selly Artaty Zega
Politeknik Negeri Batam
Arts Decision Sciences, Operations Research & Management Education Other

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Implementasi Dan Analisis Motion Graphic Quality Awareness Sebagai Media Informasi Di PT. Infineon Technologies Batam Selly Artaty Zega; Harish Manarul Fauzi
JOURNAL OF APPLIED MULTIMEDIA AND NETWORKING Vol 6 No 1 (2022): Journal of Applied Multimedia and Networking
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jamn.v6i1.4178

Abstract

Along with developments and advances in technology, industries need information media to increase their production by optimizing human resources. One of the information media that can be used is motion graphics. Therefore, the problem in this study is to implement awareness of the quality of motion graphics as an information media at PT. Infineon Technologies Batam and to find out the effect of motion graphics on changes in employee performance on quality awareness of information media. In this final project, the method of multimedia development is Villamil–Molina. Analyzing the motion graph is a quantitative method using the EPIC model. Respondents in this study arie employees of PT. Infineon Technology Batam. The results of this final project will be in the form of motion graphics in MP4 format as a media of quality awareness information and the analysis of employee interest in motion graphics quality awareness based on the motion graphics produced.
Mengatasi Data Error Pada Proses Data Cleaning Motion Capture Motive Optitrack Selly Artaty Zega; Ahmad Saropi; Timothy Ronaldy; Yogi Ilhami; Muhammad Farabi
JOURNAL OF APPLIED MULTIMEDIA AND NETWORKING Vol 6 No 1 (2022): Journal of Applied Multimedia and Networking
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jamn.v6i1.4210

Abstract

Motion capture is a technology in the multimedia industry useful for recording movement in digital using a censor method. Motion capture technology is further developing time in time, motion capture is already used in some digital products like a game, visual effects, and animation films. on recording section motion capture its sight motion by the optical sensor or magnet sensor, next step is the data cleaning process, the data cleaning process will clean the movement noise or error. Using motion capture will make the production process faster because motion capture is not using the manual keyframe method. This article’s purpose is to help motive users to make the data cleaning process become faster with the research and development method. With data that has been collected in several recording processes, the writer hopes this article can be used as a guide in recording motion until the data cleaning process with motive application.
PREDIKSI RATING FILM ANIMASI BERDASARKAN ELEMEN MISE EN SCENE MENGGUNAKAN NEURAL NETWORK Odi Isya Winanda; Selly Artaty Zega; Raihan Hilmawan
JOURNAL OF APPLIED MULTIMEDIA AND NETWORKING Vol 3 No 1 (2019): Journal of Applied Multimedia and Networking
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (250.737 KB) | DOI: 10.30871/jamn.v3i1.1427

Abstract

A production house can make adjustments in releasing the film if knows the possibility of success to the related film. The goal is to get maximum profit after thefilm is released. It can even use a prediction to know how market developmentsare. In this study, the authors used data from IMDb to predict the rating on a film.Because IMDb is the largest database consisting of relevant and comprehensiveinformation related to films. It is necessary to consider the additional features ofvisual, which basically refers to everything that appears on the screen. Everythingcaptured by the camera consisting of settings, lighting, the human figure, andcomposition, these four elements are part of the mise en scene. To determine thelevel of accuracy in film rating predictions, the author uses the science of softcomputing, namely the neural network, focusing on the prediction part. Theaccuracy of the animated movie rating prediction is based on the mise en sceneelement which is equal to 44%, the accuracy is based on the average of each testoption.
Motion Graphic Sebagai Media Edukasi Cybercrime di Kalangan Mahasiswa Selly Artaty Zega; Samuel Butar- Butar; Nelmiawati Nelmiawati
JOURNAL OF APPLIED MULTIMEDIA AND NETWORKING Vol 7 No 1 (2023): Journal of Applied Multimedia and Networking
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jamn.v7i1.5091

Abstract

Cybercrime is crime using the internet network, this crime can be snared by anyone, one of them is Informatics Engineering Students, the author has distributed questionnaires, to obtain data on victims of cybercrime crimes for Informatics Engineering Students, data obtained that victims of cybercrime crimes are higher than those who are not ensnared become victims of cybercrime, this happens because of the lack of information obtained by students.Motion graphics are used as a medium to provide education to Informatics Engineering students regarding cybercrime crimes, these media are used because they can display videos with a visual text, images, and audio that are interesting and easy to understand.The research method used is Research And Development (RND), with the product development method, namely Villamil Molina, using quantitative descriptive analysis, through alpha testing with the interview method to motion graphic media experts and beta testing with the Likert scale measurement method to Informatics Engineering Students. This research produced a motion graphic video with a duration of 5 minutes 12 seconds in mp4 format, and obtained the results of a product feasibility analysis with a percentage of 86% and categorized as very feasible.
Co-Authors Ahmad Saropi Harish Manarul Fauzi Muhammad Farabi Nelmiawati Nelmiawati Odi Isya Winanda Raihan Hilmawan Samuel Butar- Butar Timothy Ronaldy Yogi Ilhami