Rancang Bangun Aplikasi Pengarti Kata-Kata Kasar Berbasis Website

Aziz, Abdul and , Endang Wahyu Pamungkas, S.Kom., M.Kom., Ph.D. (2024) Rancang Bangun Aplikasi Pengarti Kata-Kata Kasar Berbasis Website. Skripsi thesis, Universitas Muhammadiyah Surakarta.

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Abstract

In the era of information technology advancement and globalization, interactions in the online world have become widespread. However, the use of offensive language in the Indonesian language has become a serious issue. In an effort to address this problem, the author has developed an application for detecting and translating offensive language. This application aims to assist users in avoiding and reducing the use of offensive language. With features such as translating offensive words, providing polite alternatives, detecting languages, and transforming offensive sentences into more polite ones. The development method used is the waterfall model, involving stages of requirement analysis, design, coding, testing, and maintenance. This application is focused on Indonesian and commonly used regional languages, with linguistic limitations. The development of this application is expected to increase user awareness of the use of offensive language and promote healthier communication in the online world. The results and discussion indicate that the author has successfully created a web-based application for detecting and translating offensive language. The application is designed using NextJs for the frontend and Strapi for the backend connected to a PostgreSQL database, and utilizes Large Language Models (LLM) with the Langchain framework to process offensive language. Usability testing using the System Usability Scale (SUS) was conducted to measure the success and usability of this application, achieving a score of 83.75, categorized as Excellent and Acceptable. Thus, it can be concluded that this application meets the needs for detecting and softening offensive language, and functions well and optimally.

Item Type:	Thesis (Skripsi)
Uncontrolled Keywords:	application, offensive language, Indonesian language, communication, users, offensive language detection.
Subjects:	T Technology > TZ Technical Information > TA02 Software. Aplication
Divisions:	Fakultas Ilmu Komunikasi dan Informatika > Teknik Informatika
Depositing User:	ABDUL AZIZ
Date Deposited:	06 Aug 2024 06:52
Last Modified:	06 Aug 2024 06:52
URI:	http://eprints.ums.ac.id/id/eprint/125942

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