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All Journal Jurnal Pendidikan Terapan Journal of Embedded Systems, Security and Intelligent Systems Journal of Education for Creativity and Innovation
La Ode Lisbar
Universitas Negeri Makassar
Humanities Computer Science & IT Education Languange, Linguistic, Communication & Media Social Sciences Other

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Analisis Dampak ChatGPT pada Model Blended Learning dalam Pendidikan Teknik: Studi Kasus dalam Matematika La Ode Lisbar; Fatur Rahman; Sri Rahayu
Jurnal Pendidikan Terapan Vol 2, No 3 September (2024)
Publisher : Sakura Digital Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61255/jupiter.v2i3.207

Abstract

Penelitian ini menyoroti kebutuhan mendesak akan integrasi ChatGPT dalam model blended learning di pendidikan teknik, khususnya dalam pembelajaran matematika. Menghadapi tantangan kurikulum modern, penerapan ChatGPT menjadi krusial dalam memberikan dampak signifikan pada peningkatan kualitas pembelajaran matematika serta menandai pergeseran penting dalam bidang teknologi pendidikan. Tujuan penelitian adalah untuk memberikan wawasan tentang bagaimana integrasi teknologi bahasa alami seperti ChatGPT dapat mempengaruhi proses pembelajaran. Penelitian ini menggunakan desain penelitian kuantitatif dengan rancangan cross-sectional dan melibatkan pengumpulan data melalui survei dan analisis data menggunakan metode statistik. Hasil penelitian menunjukkan bahwa sebagian besar mahasiswa menggunakan ChatGPT untuk tujuan akademis, namun keandalan ChatGPT dalam melakukan perhitungan numerik masih menjadi perdebatan. Penelitian ini menyoroti kelebihan dan kekurangan ChatGPT dalam pembelajaran matematika, serta menekankan pentingnya menerapkan pemikiran komputasi serta berpikir kritis ketika menggunakan ChatGPT. Penelitian ini merujuk pada interaksi ChatGPT dengan mahasiswa serta dampaknya dalam pendidikan. Dengan demikian, artikel ini dapat memberikan gambaran tentang pemanfaatan ChatGPT dalam aspek pendidikan.
Development of Doe'ku Application: A Digital Solution to Manage Personal Finance Effectively Nur Annafiah; M. Miftach Fakhri; La Ode Lisbar; Amelia Syamsuddin; Nur Yahya Akhmad; Aprilianti Nirmala S
Journal of Embedded Systems, Security and Intelligent Systems Vol 5, No 3 (2024): November 2024
Publisher : Program Studi Teknik Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/jessi.v5i3.5039

Abstract

The development of the Doe'ku application aims to provide an effective digital solution for managing personal finances. The application is designed to improve users' financial literacy through various features, such as transaction records, budget setting, savings plans, and scheduled transactions. This study utilizes the prototype model software development method, which allows for continuous interaction between developers and users during the application creation process. The results show that the Doe'ku application can assist users in effectively monitoring and managing their finances. User evaluations showed that the application provides an optimal user experience with an intuitive and responsive interface. In addition, the application is designed to be accessible and easy to operate, meeting both the functional and nonfunctional needs of users. As such, the Doe'ku application is expected to contribute significantly to improving users' financial literacy and personal financial management capabilities.
Development of AI-Based Android Application AEyes to Assist Visually Impaired in Face Recognition and Describing the Environment La Ode Lisbar; Syahrul -; Kurnia Prima Putra
Journal of Education for Creativity and Innovation Vol. 2 No. 1 (2026): Agustus
Publisher : PT. Global Research Collaboration

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66314/jeci.v2i1.677

Abstract

Access to visual information and social interaction remain significant challenges for individuals with visual impairments, particularly in recognizing surrounding environments and identifying nearby people independently. Existing assistive applications generally focus only on object detection or require human assistance or additional hardware, limiting their practicality and support for user independence. This study aims to develop AEyes, an Android-based assistive application integrating MediaPipe and FaceNet for facial recognition and a Large Language Model (LLM) for contextual environmental description with Text-to-Speech features. The research employed a Research and Development (R&D) approach using the Waterfall model. Application feasibility testing was conducted based on ISO/IEC 25010 standards. Data were collected using system validation instruments for functional suitability, usability questionnaires for user satisfaction, and observation for portability, performance efficiency, maintainability, and usability effectiveness and efficiency. Usability testing involved 10 students at SLB-A Yapti Makassar. Results indicate that the application meets high technical feasibility and usability criteria. Functional Suitability achieved a score of 1, usability effectiveness reached 96%, efficiency was 0.04488 goals/sec, and user satisfaction reached 86% (very satisfied). The application demonstrated efficient performance with average CPU usage of 5.6% and memory consumption of 251.3 MB. It also achieved 100% portability across 6 different Android versions and a Maintainability Index of 99.89 (Excellent). These findings indicate that AEyes is feasible for use and has the potential to support user independence based on initial testing results. However, this study is limited by its small-scale testing and has not yet evaluated long-term impacts in real-world usage.
Co-Authors Amelia Syamsuddin Aprilianti Nirmala S Fatur Rahman Kurnia Prima Putra M. Miftach Fakhri Nur Annafiah Nur Yahya Akhmad Sri Rahayu Syahrul -