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All Journal Otoritas : Jurnal Ilmu Pemerintahan Control Systems and Optimization Letters
Islam, MD Nazmul
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Aerospace Engineering Automotive Engineering Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Social Sciences

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Navigating digital platforms: a comparative study into Turkish political communication strategies on tiktok and twitch Uyumaz, Canan; Islam, MD Nazmul
Otoritas : Jurnal Ilmu Pemerintahan Vol 13, No 3 (2023): (December 2023)
Publisher : Department of Government Studies Universitas Muhammadiyah Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26618/ojip.v13i3.12912

Abstract

This paper explores the use of new media platforms Twitch and TikTok by Turkish politicians leading up to the Presidential Elections of 2023. The paper focuses on the unique attributes of these platforms and establishes a comparison between the two by a coding scheme. This coding scheme has been constructed based on Cervi et al.’s (2023) methodological framework. It includes four themes: content, frequency, engagement, and interaction. These four themes will be examined through comparative analysis methodology. A selection of twenty TikTok videos for each sample and Twitch stream statistics will be analyzed by the numerical data, dates, and content pattern. To assess the political communication strategies that are applied by politicians, the paper will underline the possible importance of new media platforms in political campaigns. It should be noted that further research in this area is needed and there is also an emerging need to explore the evolving role of Twitch and TikTok in political campaigns.
Navigating digital platforms: a comparative study into Turkish political communication strategies on tiktok and twitch Uyumaz, Canan; Islam, MD Nazmul
Otoritas : Jurnal Ilmu Pemerintahan Vol. 13 No. 3 (2023): (December 2023)
Publisher : Department of Government Studies, Universitas Muhammadiyah Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26618/ojip.v13i3.12912

Abstract

This paper explores the use of new media platforms Twitch and TikTok by Turkish politicians leading up to the Presidential Elections of 2023. The paper focuses on the unique attributes of these platforms and establishes a comparison between the two by a coding scheme. This coding scheme has been constructed based on Cervi et al.’s (2023) methodological framework. It includes four themes: content, frequency, engagement, and interaction. These four themes will be examined through comparative analysis methodology. A selection of twenty TikTok videos for each sample and Twitch stream statistics will be analyzed by the numerical data, dates, and content pattern. To assess the political communication strategies that are applied by politicians, the paper will underline the possible importance of new media platforms in political campaigns. It should be noted that further research in this area is needed and there is also an emerging need to explore the evolving role of Twitch and TikTok in political campaigns.
Next-Generation 3D Vision and Robotic Integration Technologies for Commercial Vehicle Manufacturing Islam, Md Nazmul; Aihua, Ren; Isyaku, Muhammad; Boa, Benfor Nana; Alam, Shahin
Control Systems and Optimization Letters Vol 4, No 1 (2026)
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/csol.v4i1.284

Abstract

This research project explores the development of 3D machine vision and robot integration technology tailored for commercial vehicle manufacturing and testing. As the industry increasingly demands higher efficiency and quality, the integration of advanced machine vision systems with robotic automation presents a transformative solution. Advanced robotics technologies involve the latest advances in robotics, including integrating sophisticated control systems, sensors, data fusion techniques, and machine learning algorithms. These innovations enable robots to adapt better and interact with their environment, ultimately increasing their accuracy. The main focus of this study is to cover the most common industrial robotic machining processes and to identify how specific advanced technologies can improve their performance. In most of the studied literature, the primary research objective across all operations is to enhance the stiffness of the robotic arm’s structure. This study investigates the implementation of 3D machine vision for precise component inspection, guided assembly, and real-time process adaptation. Key challenges, including high initial costs and complexity of integration, are addressed alongside potential benefits such as improved product quality and reduced operational costs. By leveraging cutting-edge technologies, this research aims to enhance manufacturing processes, ultimately contributing to the advancement of intelligent manufacturing in the commercial vehicle sector. The findings will provide valuable insights for manufacturers seeking to optimize their production capabilities and maintain competitiveness in a rapidly evolving market.
Co-Authors Aihua, Ren Alam, Shahin Boa, Benfor Nana Isyaku, Muhammad Uyumaz, Canan