Ahmad, Azhar
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Mobile Learning Media for Enhanced Motivation in Audio and Video Processing: A Vocational Multimedia Approach Fadilah, M. Nuran; Ahmad, Azhar; Yunus, Yunus
Letters in Information Technology Education (LITE) Vol 7, No 1 (2024)
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um010v7i12024p01-06

Abstract

activities to be replaced by technology. Based on the results of observations and initial observations made at SMKN 1 Pasuruan, at SMK PGRI 8 Malang, and at SMKN 3 Kota Bima, a problem was found, namely difficulties in understanding the material in the subject of Audio and Video Processing Engineering because the media was lacking. The objectives of the research activities were to develop mobile-based learning media, describe learning media, analyze the feasibility of learning media, and describe the level of student learning motivation. The developed learning media is stored in .apk format so that it can be operated on a smartphone. The learning media development model adapts the Plomp development model, consisting of an initial investigation or preliminary research phase, a development or prototyping phase, and an assessment phase. In the initial investigation phase or preliminary research, analyze the learning of audio and video processing techniques and find a problem. Then, in the development or prototype phase, there were validation results from media experts of 91.31 per cent and results from material experts of 93.3 per cent. Finally, in the testing phase of the field test on 26 students, the results were 86.71 per cent, and the measurement of learning motivation was 82.85 per cent. Referring to the results of the research, the implementation of the mobile-based learning media that was developed is very feasible to be applied in the learning process. It is quite efficient and effective in increasing student learning motivation
Vision-based autonomous mapping and exploration on robot tracked vehicle Mohd Shah, Hairol Nizam; Mat Yusoff, Muhamad Afif; Kamis, Zalina; Ahmad, Azhar; Baharon, Mohd Rizuan; Arshad, Mohd Ali
Bulletin of Electrical Engineering and Informatics Vol 12, No 6: December 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v12i6.5952

Abstract

Vision based mapping is an emerging technology with decades of research advancements. The most famous mapping method available is silmuntaneous localization and mapping (SLAM) which provide an accurate map projected in a simulation. Unfortunately, SLAM requires an active sensor in order to acquire the data from its environment opposite the vision-based mapping which requires a passive sensor to collect data. This project aims to develop an autonomous mapping and exploration algorithm, design a controller for the robot-tracked vehicle and analyze the accuracy of the algorithm. The problem in autonomous mapping is precision, limitation of computational power and complex computation. So, the algorithm will be based on the visual odometer algorithm through a single-visual sensor. The robot tracker has also been designed and implemented on Raspberry Pi 3. The accuracy of two object with different height was calculated to ensure the validation of the algorithm being able to project the real object in 3D projection. The result for the task is shown in figures as to present the capability of the algorithm in projecting the map in 3D projection. The algorithm works as expected but still requires improvements to increase the precision of the map projection.