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All Journal JURNAL TEKNOLOGI DAN ILMU KOMPUTER PRIMA (JUTIKOMP) Abdimas Toddopuli: Jurnal Pengabdian Pada Masyarakat
Andi Nurfadillah Ali
Institut Teknologi Bacharuddin Jusuf Habibie
Agriculture, Biological Sciences & Forestry Civil Engineering, Building, Construction & Architecture Computer Science & IT Other

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Implementasi Pembelajaran Berbasis Kecerdasan Buatan Di Upt Sd Negeri 16 Parepare Muhaimin Hading; Radhiansyah Radhiansyah; Nurul Chairunnisa Noor; A. Syahrinaldy syahruddin; A. Inayah Auliyah; Andi Nurfadillah Ali; Muhammad Ikhwan Burhan; Muhammad Irsan
Abdimas Toddopuli: Jurnal Pengabdian Pada Masyarakat Vol. 6 No. 2 (2025): Volume 6, No 2, Juni 2025
Publisher : Universitas Cokroaminoto Palopo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30605/atjpm.v6i2.6311

Abstract

Pemanfaatan teknologi dalam pendidikan dasar menjadi semakin krusial di tengah perkembangan era digital dan Revolusi Industri 4.0. Kegiatan pengabdian ini dilatarbelakangi oleh pentingnya peningkatan literasi teknologi di lingkungan sekolah dasar, khususnya dalam pemanfaatan kecerdasan buatan (Artificial Intelligence/AI) untuk mendukung proses belajar mengajar yang lebih interaktif dan adaptif. Program ini dilaksanakan di UPT SD Negeri 16 Parepare dengan tujuan utama untuk mengimplementasikan pendekatan pembelajaran berbasis AI. Metode pelaksanaan meliputi pelatihan intensif kepada guru mengenai konsep dan praktik penggunaan AI, penerapan langsung AI dalam kegiatan pembelajaran di kelas, serta evaluasi untuk mengukur dampak kegiatan. Hasil kegiatan menunjukkan adanya peningkatan pemahaman dan keterampilan guru dalam mengintegrasikan AI ke dalam pembelajaran, serta meningkatnya minat dan partisipasi aktif siswa selama proses belajar. Kegiatan ini memberikan kontribusi positif dalam memperkenalkan transformasi digital di lingkungan sekolah dasar, serta berpotensi menjadi model replikasi untuk sekolah lainnya.
Feature Based Classification for Automated Essay Scoring Muhaimin Hading; Muhammad Ikhwan Burhan; Andi Nurfadillah Ali; A. Inayah Auliyah; Mardhiyyah Rafrin; Arliyanti Nurdin; Wiwit Melayu
JURNAL TEKNOLOGI DAN ILMU KOMPUTER PRIMA (JUTIKOMP) Vol. 8 No. 2 (2025): Jurnal Teknologi dan Ilmu Komputer Prima (JUTIKOMP)
Publisher : Fakultas Teknologi dan Ilmu Komputer Universitas Prima Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34012/jutikomp.v8i2.7397

Abstract

Essays play a crucial role in traditional assessments, but evaluating them accurately, efficiently, and fairly poses a major challenge for educators. Automated Essay Scoring (AES) aims to address this issue by leveraging computational techniques to support teachers in the grading process. This study explores a classification model to classify the score based on the feature we created. We incorporate additional features aligned with the ASAP 2.0 scoring rubric, such as Lexical Sophistication, Source Adherence, Novelty and Relevance, and a Semantic Disruption feature. These features are used to construct a distributed representation of essays, which is then input into a Support Vector Machine (SVM) model for holistic score prediction. The proposed model achieved a Quadratic Weighted Kappa (QWK) score of 0.8397, indicating a high level of agreement with human raters. The results demonstrate the effectiveness of combining rubric-informed features with a non-linear classifier. The findings can be implemented for educational settings, where the model can be utilized to provide scalable and consistent scoring support, reduce grading workload for instructors, and deliver timely feedback to students. By aligning with rubric-based criteria, the approach can also foster more transparent and constructive learning processes, helping students identify specific areas for improvement in their writing. While the model exhibits strong predictive performance, it also presents limitations related to interpretability and generalizability, especially across diverse writing prompts and domains.
Co-Authors A. Inayah Auliyah A. Syahrinaldy syahruddin Arliyanti Nurdin Hading, Muhaimin Mardhiyyah Rafrin Muhammad Ikhwan Burhan Muhammad Irsan Nurul Chairunnisa Noor Radhiansyah Radhiansyah Wiwit Melayu