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All Journal Format : Jurnal Imiah Teknik Informatika Journal Collabits
Wibowo, Aditya Dwi
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Computer Science & IT Engineering

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Optimization of Education through Artificial Intelligence: Exploration of Types of AI and Their Contribution in Education Wibowo, Aditya Dwi; Mudhohi, Ahmad Faqih; Wulandari, Dapita Apriani; Milah, Eli Agus; Vinanti, Caterina
Journal Collabits Vol 2, No 2 (2025)
Publisher : Journal Collabits

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/collabits.v1i2.27233

Abstract

Artificial Intelligence (AI) is an increasingly developing technology that plays a crucial role in various fields, including the education system. AI can enhance the efficiency and effectiveness of the education system through various methods such as adaptive learning, predictive analysis, intelligent tutoring systems, natural language processing, and gamification. Artificial Intelligence (AI) is expected to continue to evolve. As AI has great potential to optimize and improve many aspects of human life, including education, health, business, technology, and more. Therefore, this idea is adopted by researchers to further optimize AI capabilities in the world of education and contribute to the efficiency and effectiveness of the education world. This research discusses the role of artificial intelligence in improving the efficiency and effectiveness of the education system. A literature review technique is used to collect and analyze information on this topic. The research shows that artificial intelligence can increase the efficiency and effectiveness of the education system by accelerating and facilitating the learning process, providing personalized recommendations, predicting student behavior, and improving data management.
Perancangan Aplikasi Media Sosial TeiTei Chairulsyah, Diofavian Rafif; Panggabean, Claudio Nehemia; Wibowo, Aditya Dwi; Salamah, Umniy
FORMAT Vol 14, No 2 (2025)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/format.2025.v14.i2.003

Abstract

Digital transformation has driven the need for social media platforms that can provide simple, personal, and effective interactions. However, many existing applications tend to offer complex features that are less relevant to user needs. This research aims to design and develop TeiTei, a web-based social media application that emphasizes ease of use, convenience, and interactivity. This research includes identifying user needs, designing a user-friendly interface using the CSS Bootstrap framework, developing a PHP-based system with the Laravel framework, and managing the database using MySQL. In addition, a search algorithm was implemented to improve the efficiency of finding other users on the platform. The results of this research produced a web-based social media application prototype that can meet user needs through an intuitive interface design and relevant features. The implementation of search algorithms also adds value by expanding users' social networks. This research is expected to make a significant academic contribution to the development of social media applications, as well as serve as a reference for similar studies aimed at enhancing digital social interaction experiences.
Co-Authors Chairulsyah, Diofavian Rafif Milah, Eli Agus Mudhohi, Ahmad Faqih Panggabean, Claudio Nehemia Salamah, Umniy Vinanti, Caterina Wulandari, Dapita Apriani