Trimulia, Aria Sena (2023) Pemanfaatan Teknologi Artificial Intelligence Chatgpt-Openai Sebagai Solusi Pembuatan Website Portofolio Pribadi. Undergraduate thesis, Fakultas Teknologi Informasi Universitas Merdeka Malang.
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Abstract
This study analyzes the use of the artificial intelligence technology ChatGPT-OpenAI as a solution for creating personal portfolio websites. In today's era, having an attractive and effective portfolio website is important for individuals who want to showcase their work and expertise. However, the website creation process often takes significant time and knowledge. This study uses experiments and tests to evaluate the use of ChatGPT as a virtual assistant for creating portfolio websites. In addition, this study also compares the use of simple and complex commands in creating websites with the help of ChatGPT. ChatGPT is a widely trained AI language model that can generate human-like text. It is hoped that the use of ChatGPT in website creation can speed up development, resolve technical challenges, and improve the overall quality of portfolio websites. This study used the R&D method with the Rapid Application Development (RAD) approach. By collecting data using the UEQ questionnaire, this study analyzes user satisfaction, ease of use, and other aspects related to the user experience when visiting portfolio websites. With the RAD approach, researchers succeeded in creating an effective and responsive portfolio website with the help of ChatGPT. The results of this study are expected to provide insight into the effectiveness and efficiency of using AI technology in creating personal portfolio websites, as well as provide guidance for developers in choosing the right approach to using ChatGPT.
Item Type: | Thesis (Undergraduate) |
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Additional Information: | Aria Sena Trimulia NIM: 19083000116 |
Uncontrolled Keywords: | Artificial Intelligence, ChatGPT, Personal portfolio website |
Subjects: | Q Science > QA Mathematics Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
Divisions: | Fakultas Teknologi Informasi > S1 Sistem Informasi |
Depositing User: | fufu Fudllah Wahyudiyah |
Date Deposited: | 25 Mar 2025 03:03 |
Last Modified: | 25 Mar 2025 03:03 |
URI: | https://eprints.unmer.ac.id/id/eprint/4637 |
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