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Web Game Implementasi Metode Agile dalam Pembuatan Sistem Game Edukatif Berbasis Web untuk Pembelajaran Bahasa Inggris Tingkat Sekolat Dasar Pratiwi, Ayu Okta; Qisthiano, M Riski; Aulia, Nanda Aftaa
Jurnal Komtika (Komputasi dan Informatika) Vol 9 No 1 (2025)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/komtika.v9i1.13495

Abstract

This research aims to develop a web-based educational game system aimed at supporting the English language learning process at the elementary school level. The main problem raised is the low interest and motivation of students in learning English through conventional learning methods which tend to be monotonous. To overcome this, a technology-based approach is used by applying Agile methods in the system development process. The Agile method was chosen because it is flexible and allows system development to be carried out gradually and repeatedly according to user needs. The development process includes planning, design, implementation, testing and evaluation stages. The system developed consists of several main features, such as a login page, user dashboard, and game page which includes listening, vocabulary and sentence material. The results of this research show that the system built is able to provide a more interesting, interactive and effective learning experience for elementary school students. Thus, the application of web-based educational game technology can be an alternative solution that supports improving the quality of English learning
Web-Based Educational Platform for Diseases and Drugs using a Large Language Model (LLM) Qisthiano, M Riski; Ruswita, Istiana; Prayesy, Putri Armilia
International Journal Scientific and Professional Vol. 5 No. 1 (2026): December 2025 - February 2026
Publisher : Yayasan Rumah Ilmu Professor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56988/chiprof.v5i1.150

Abstract

This study presents the development of a web-based educational platform leveraging a large language model (LLM) to provide general information on diseases and medications. The platform integrates a curated database of diseases and drugs with the LLM via retrieval-augmented generation. When users enter a disease or drug name, the system retrieves relevant data and uses it as context for the LLM to produce concise responses in a friendly, accessible style. The application is built using native PHP with a MySQL backend and Bootstrap for responsive design. Safety features such as a mandatory disclaimer and filters for emergency conditions ensure that the chatbot does not offer diagnostic or prescriptive advice. Expert reviews indicated that the model-generated content aligned well with the database, and user testing showed high satisfaction with clarity and usability. These results demonstrate that combining structured medical data with a modern LLM can improve public access to reliable health education while maintaining ethical boundaries.