The Application of Artificial Intelligence in an Automatic Scientific Article Summarization System with a Gemini AI Engine

DOI

10.2991/978-94-6463-878-3_13How to use a DOI?

Keywords

Artificial Intelligence (AI); Automatic Summarization System; Scientific Article; System Usability Scale (SUS)

Abstract

Students at Politeknik Negeri Bali often face difficulties when completing their final projects, especially in reviewing large numbers of scientific articles. The process of searching, reading, and understanding relevant literature is time-consuming and may hinder learning efficiency and research quality. To address this, an AI-based automatic summarization system was developed to help students quickly grasp the core content of academic articles, thereby facilitating a more efficient understanding of the literature. However, existing AI models, including ChatGPT, still have limitations in summary accuracy, contextual understanding, recognition of domain-specific terminology, and adaptability to diverse article types, often resulting in incomplete or fragmented summaries. This study aims to: (1) develop an accurate, comprehensive, and adaptive AI-based academic article summarization system; (2) design the system to meet the needs of Politeknik Negeri Bali students in final project completion; and (3) evaluate its effectiveness in improving thesis writing efficiency and quality. Effectiveness was assessed using the System Usability Scale (SUS) with 10 statements rated on a 5-point Likert scale. Fifty-four valid responses were obtained from sixth-semester Software Engineering Technology students. The system achieved an average SUS score of 80.1, categorized as “Excellent” and interpreted as “Outstanding” in user experience, earning an A grade (Very Good). Non-functional testing indicated responsive performance and fast processing for most requests. Overall, the system demonstrated excellent usability and is considered a valuable academic tool for supporting students in understanding and efficiently processing scientific literature.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Gde Brahupadhya Subiksa
AU  - I Nyoman Eddy Indrayana
AU  - I Putu Astya Prayudha
AU  - I Ketut Gede Sudiartha
AU  - Yessi Aprilia Waluyo
PY  - 2025
DA  - 2025/10/31
TI  - The Application of Artificial Intelligence in an Automatic Scientific Article Summarization System with a Gemini AI Engine
BT  - Proceedings of the International Conference on Sustainable Green Tourism Applied Science - Engineering Applied Science 2025 (ICOSTAS-EAS 2025)
PB  - Atlantis Press
SP  - 101
EP  - 111
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-878-3_13
DO  - 10.2991/978-94-6463-878-3_13
ID  - Subiksa2025
ER  -