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All Journal JOURNAL OF APPLIED INFORMATICS AND COMPUTING Darma Abdi Karya: Jurnal Pengabdian Kepada Masyarakat
Nadia Azaria
Universitas Sari Mulia
Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Social Sciences Other

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Workshop Kreativitas Digital: Menggali Potensi Imajinasi Siswa Sekolah Dasar Melalui Integrasi Artificial Intelligence Subhan Panji Cipta; Nadia Azaria; Mambang Mambang; Muhammad Zulfadhilah; Septyan Eka Prastya; Abdul Latif; Ratna Lindawati; Trifebi Shina Sabrila; Finki Dona Marleny
Darma Abdi Karya Vol. 5 No. 1 (2026): Darma Abdi Karya: Jurnal Pengabdian Kepada Masyarakat
Publisher : LPPM POLITEKNIK LP3I

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38204/darmaabdikarya.v5i1.2943

Abstract

Kemajuan teknologi kecerdasan buatan (Artificial Intelligence/AI) menuntut pengenalan sejak dini agar dapat dimanfaatkan secara positif.  Ditemukan fakta bahwa 90% siswa kelas VI telah menggunakan smartphone setiap hari, namun lebih dari 85% di antaranya belum pernah mendengar istilah Artificial Intelligence atau mengetahui bahwa algoritma AI mengendalikan aplikasi hiburan yang mereka gunakan sehari-hari. Kegiatan Pengabdian kepada Masyarakat (PkM) ini bertujuan untuk meningkatkan pengetahuan siswa mengenai AI serta peranannya dalam mendukung kreativitas dan imajinasi. Metode yang digunakan adalah pendekatan participatory learning dan experiential learning, yang melibatkan 27 siswa kelas VI. Rangkaian kegiatan meliputi sosialisasi, pemaparan materi edukatif menggunakan media audiovisual interaktif, serta praktik langsung penggunaan teknologi AI sederhana. Hasil evaluasi yang dilakukan melalui observasi partisipatif selama sesi praktik, penilaian kualitas karya digital yang dihasilkan siswa, serta pengisian angket umpan balik setelah kegiatan menunjukkan bahwa program ini memberikan dampak positif yang signifikan dalam meningkatkan pemahaman kognitif serta merangsang kreativitas siswa. Metode ini dinilai lebih efektif dibandingkan pembelajaran konvensional dalam memperkenalkan teknologi masa depan kepada siswa sekolah dasar.
Sasirangan Motif Classification Using MobileNetV2 Transfer Learning for Cultural Heritage Preservation Nadia Azaria; Mahdi Mahdi; Muhammad Hanafi; Mambang Mambang; Trifebi Shina Sabrila; Finki Dona Marleny
Journal of Applied Informatics and Computing Vol. 10 No. 3 (2026): June 2026
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v10i3.12648

Abstract

Sasirangan is a traditional textile from South Kalimantan renowned for its unique motifs and deep cultural significance. However, the preservation of Sasirangan motifs is increasingly challenged by the declining number of skilled craftsmen and inadequate digital documentation. This study presents the development of an automated motif classification system to support the digital preservation of Sasirangan cultural heritage. The system was developed using the MobileNetV2 architecture with transfer learning from ImageNet pre-trained weights, implemented through the TensorFlow framework. A dataset comprising 70 images from 9 different Sasirangan motifs was utilized. To address the limited dataset size, various data augmentation techniques were applied. In the proof-of-concept phase, a binary classification task (Gigi Haruan vs. Unknown) was conducted using an 80:10:10 training-validation-test split. Experimental results demonstrated strong model performance, achieving 96.06% test accuracy for Gigi Haruan motif detection, 96.5% average F1-score, and 98.31% rejection accuracy for non-Sasirangan images. Additionally, a user-friendly web interface based on Gradio was developed, featuring real-time prediction through webcam integration. This study highlights the effectiveness of transfer learning in classifying traditional textile motifs and provides a solid foundation for future advancements, including multi-class classification and cloud-based database integration. The proposed system is expected to contribute significantly to the documentation, education, and preservation of Sasirangan cultural heritage in the digital era.
Co-Authors Abdul latif Finki Dona Marleny Mahdi Mahdi Muhammad Hanafi Muhammad Zulfadhilah Ratna Lindawati Sabrila, Trifebi Shina Septyan Eka Prastya Subhan Panji Cipta