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Journal : IPSIKOM

APLIKASI PERMAINAN KARTU MEMORI BERBASIS WEB UNTUK PEMBELAJARAN KOSAKATA BAHASA SUNDA (STUDI KASUS SEKOLAH DASAR NEGERI BINAWARGA CIPONGKOR) Ridwan Nur Hakim; Dini Rohmayani
IPSIKOM Vol. 13 No. 2 (2025): Jurnal Ipsikom
Publisher : LPPM UNIVERSITAS INSAN PEMBANGUNAN INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58217/ipsikom.v13i2.430

Abstract

In today's digital era, technology-based learning is an important need, especially in maintaining the use of regional languages such as Sundanese which are increasingly rarely used in everyday life. This study aims to design, implement, and test a web-based memory card game application as a medium for learning Sundanese vocabulary for elementary school students. The development method used is the waterfall model which includes the stages of analysis, design, implementation, testing, deployment, and maintenance. This application was developed using React with Tailwind CSS for the frontend, Node.js with Express JS, and PostgreSQL as the database. The main features provided include difficulty level selection, point system, leaderboard, and vocabulary and student data management by the admin. The results of black box testing all features have run 100% according to their functions, and the results of User Acceptance Testing (UAT) from 3 testing parameters namely features, design, and user satisfaction show a very positive response from teachers with a satisfaction level of 95.1% and from students of 74.6%. These findings show that the application can be well received by users and is able to increase students' interest in learning Sundanese language.
PERANCANGAN FITUR ANOTASI PADA CHATGPT MENGGUNAKAN EKSTENSI BROWSER Elza Satria Bhima Sakti; Dini Rohmayani
IPSIKOM Vol. 13 No. 2 (2025): Jurnal Ipsikom
Publisher : LPPM UNIVERSITAS INSAN PEMBANGUNAN INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58217/ipsikom.v13i2.435

Abstract

The rapid advancement of large language models such as ChatGPT has revolutionized text-based interactions, yet lacks built-in annotation mechanisms for marking, storing, and revisiting critical conversation points. This study designs and implements a browser extension using ReactJS and Tailwind CSS with local storage via IndexedDB, following a five-stage waterfall model encompassing requirements analysis, system design, implementation, testing (black-box and user acceptance), and maintenance. The extension supports CRUD operations on annotations, automatic navigation to annotated text positions, and JSON import/export without disrupting ChatGPT’s original interface. Testing demonstrates full compliance with functional specifications, while a UAT with 11 participants reports average satisfaction scores ≥ 4.55 for usability, UI coherence, and review efficiency, confirming enhanced productivity and learning experience. In conclusion, the extension effectively facilitates critical thinking and collaboration in web-based learning, with future work exploring cross-device synchronization, real-time collaboration, and AI-driven annotation suggestions to further optimize user engagement.