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Project Based Learning: Pembuatan Motion Graphics “Affordable” untuk Klien LB LIA Hidayat, Daffala Viro; Fami, Amata; Prayudo, Galih Ario; Mu'taz, Faris Afra
Jurnal Mahasiswa Kreatif Vol. 2 No. 1 (2024): Januari : Jurnal Mahasiswa Kreatif
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/jmk-widyakarya.v2i1.2246

Abstract

Project-Based Learning (PjBL) is a learning approach where students learn by actively participating in real projects or tasks. This approach aims to prepare learners to face real-world situations and develop skills relevant to careers and everyday life. The (PjBL) approach was used in the creation of this motion graphics titled "Affordable" with the client LB LIA. The PjBL process involved planning, client needs analysis, conceptualization, production and evaluation. The results show that PjBL helps learners develop a deep understanding of graphic design and effective communication skills with clients. PjBL helped learners develop a deep understanding of graphic design and effective communication skills with clients. Although time management and communication challenges arose, collaboration between students and clients successfully overcame these obstacles so that this motion graphics project could run smoothly. With a focus on project-oriented learning, this article can serve as a guide for those interested in maximizing students' educational experience in the real world.
Enriching Grammatical Understanding of Using Japanese Part of Speech in Dokkai Learning with the AI-Powered Oyomi Application Mahira, Nisrina Ishmah; Pratiwi, Iswi Nur; Putri, Evlyn Jane; Yanti, Sevia Dwi; Afifah, Najla Putri; Hidayat, Daffala Viro; Ramadhan, Husni Mubarok; Lestari, Humannisa Rubina
Journal of Internet and Software Engineering Vol. 1 No. 2 (2024): April
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/pjise.v1i2.2617

Abstract

This research focuses on the impact of the Oyomi application on the comprehension of Japanese word classes (part of speech) and sentence structures. The primary issue addressed is the need for efficient and effective language learning tools. The objective is to explore the role of artificial intelligence (AI) within the application in enhancing Dokkai learning. The methodology encompasses a comprehensive analysis of the two principal features contributing to Dokkai learning, the utilization of AI technologies, and a comparison between traditional learning vs AI-powered mobile learning methods. Data collection involved simple linear regression statistical analysis using an F-test and correlation coefficient to gauge the relationship between the usage of the AI-powered Oyomi application and the comprehension of word classes in Dokkai learning. The F test results of 0.01 < 0.05 indicate a significant contribution and a correlation coefficient of 0.8 means the strength of the relationship is very strong. These findings show that AI, when integrated into language learning applications like Oyomi, can provide a more efficient and effective learning experience, especially in Japanese reading comprehension.