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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.
Perancangan Sistem Informasi Kuliner “Vokasi Laper” Berbasis Web dengan Metode Extreme Programming Manurung, Maryetha; Alkautsar, Muhammad Farhan; Pratiwi, Iswi Nur; Riupassa, Muhammad Hafidz Sidqi; Saputra, Ananda Pratama; Giri, Endang Purnama; Ridha, Ahmad
Jurnal Rekayasa Sistem Informasi dan Teknologi Vol. 1 No. 3 (2024): Februari
Publisher : Yayasan Nuraini Ibrahim Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59407/jrsit.v1i3.284

Abstract

Penelitian ini bertujuan merancang sistem informasi kuliner berbasis web yang difokuskan untuk mahasiswa Sekolah Vokasi IPB University. Saat ini, belum ada platform yang memfasilitasi pengguna dalam menemukan lokasi tempat makan. Namun pentingnya website sebagai sumber informasi krusial, terutama dalam konteks kuliner semakin meningkat menjadi saluran yang sangat relevan. Penelitian ini dilakukan dengan menerapkan metode extreme programming meliputi tahap perencanaan, desain, pengkodean, dan pengujian. Hasil penelitian ini yaitu terciptanya Vokasi Laper sebagai sistem informasi kuliner berbasis web. Diharapkan dengan adanya solusi ini akan menjadi penunjang bagi mahasiswa dalam menemukan informasi mengenai lokasi tempat makanan di sekitar kampus dengan lebih mudah dan cepat, serta dapat memperkaya pengalaman kuliner mereka. Kata kunci: Kuliner, Situs Web, Extreme Programming.