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All Journal Sistemasi: Jurnal Sistem Informasi TRANSFORMATIKA: Jurnal Bahasa, Sastra, dan Pengajarannya
Oktariansyah, Haris
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Humanities Computer Science & IT Electrical & Electronics Engineering Languange, Linguistic, Communication & Media Other

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Identifikasi Jenis-Jenis Parafrasa Artificial Intelligence Quillbot dalam Bahasa Indonesia: Identification of Types of Paraphrasing by Artificial Intelligence Quillbot in Indonesian Oktariansyah, Haris; Ernawati, Yeni
Transformatika: Jurnal Bahasa, Sastra, dan Pengajarannya Vol. 9 No. 4 (2025): TRANSFORMATIKA: JURNAL BAHASA, SASTRA, DAN PENGAJARANNYA
Publisher : Universitas Tidar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31002/transformatika.v9i4.2972

Abstract

This study aims to identify the types of paraphrases generated by the artificial intelligence tool QuillBot in Indonesian and to analyze its effectiveness in reducing plagiarism in academic writing. The research employed a descriptive qualitative method with documentation and data analysis techniques, based on Longacre’s (1995) paraphrase theory. The data were taken from 18 journal abstracts covering topics in linguistics, education, and artificial intelligence. Additionally, the abstracts were sourced from various study programs within the Faculty of Social Humanities at Universitas Bina Darma Palembang to ensure linguistic variety and enrich the analysis. All abstracts were paraphrased using QuillBot Premium and analyzed with Turnitin. The results show that from 123 sentences, QuillBot generated six of seven paraphrase types: Equivalent (74), Negative Antonym (2), Generic-to-Specific (1), Amplification (14), Specific-to-Generic (12), and Contraction (20). Furthermore, QuillBot was found effective in reducing plagiarism, with an average decrease of 28.89% based on Turnitin results. The greater the initial similarity, the higher the reduction after paraphrasing. As supporting data, the perceptions of five final-year students were gathered, and respondents stated that QuillBot helped simplify the paraphrasing process and reduce similarity scores, although manual revision was still needed to ensure accuracy and naturalness of meaning.
UI/UX Development of Mobile-based Palembang-Indonesia Dictionary application using Design Thinking Method Indah Sari, Ayu Puspita; Ramdhani, Muhammad Iqbal; Andri, Andri; Oktariansyah, Haris; Mawarni, Mawarni; Novita, Dinda
Sistemasi: Jurnal Sistem Informasi Vol 13, No 1 (2024): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v13i1.3605

Abstract

This research aims to develop an optimal User Interface (UI) and User Experience (UX) in a Palembang-Indonesian dictionary mobile application using the Design Thinking method. The background of this study is grounded in the significance of a well-designed UI/UX in enhancing the usability and attractiveness of dictionary applications. Through a literature review, this research analyzes relevant design concepts and principles, and identifies challenges in the development of UI/UX for dictionary applications. The research methodology involves the stages of Design Thinking, encompassing user understanding, problem definition, solution exploration, prototype creation, and testing. The outcomes of this research encompass the development of a more intuitive, efficient, and user-centered UI/UX for the dictionary application. The findings of this research can serve as a guideline for the development of mobile-based dictionary applications, ensuring a favorable user experience. It is expected that this research will make a valuable contribution to the fields of UI/UX and dictionary application development, enhancing accessibility and the quality of dictionary applications for Palembang-Indonesian language users.
Co-Authors Andri Andri Ernawati, Yeni Indah Sari, Ayu Puspita Mawarni Mawarni Novita, Dinda Ramdhani, Muhammad Iqbal