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All Journal SMATIKA Fountain of Informatics Journal JOURNAL OF APPLIED INFORMATICS AND COMPUTING International Journal of New Media Technology Jurnal Nasional Komputasi dan Teknologi Informasi JISKa (Jurnal Informatika Sunan Kalijaga) Jumat Informatika: Jurnal Pengabdian Masyarakat Jurnal Ilmiah Multimedia & Komunikasi INSTALL: Information System and Technology Journal Darma Abdi Karya: Jurnal Pengabdian Kepada Masyarakat Smatika Jurnal : STIKI Informatika Jurnal
Sabrila, Trifebi Shina
Universitas Sari Mulia
Aerospace Engineering Arts Humanities Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Library & Information Science Neuroscience Social Sciences Transportation 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.
Agentic AI Adoption: Balancing Enthusiasm and Ethical Concerns An Exploratory Study Nadia Azaria; Mambang Mambang; Finki Dona Marleny; Trifebi Shina Sabrila
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.v10i3.13070

Abstract

Agentic AI represents a significant paradigm shift in artificial intelligence, transitioning from passive command execution to autonomous goal pursuit. This exploratory study investigates user perceptions toward Agentic AI adoption in Indonesia, focusing on the balance between functional enthusiasm and ethical concerns. The 20 Likert-scale statements were developed based on the Technology Acceptance Model (TAM), Unified Theory of Acceptance and Use of Technology (UTAUT), and AI trust frameworks. These items cover key dimensions including perceived usefulness, ease of use, trust in autonomy, productivity enhancement, data privacy, loss of human control, algorithmic bias, and adoption intention. Utilizing Exploratory Data Analysis (EDA) supplemented with non-parametric tests on a convenience sample of 22 respondents predominantly tech-savvy young adults this study reveals high familiarity with AI tools (54.5% daily users). Respondents showed strong optimism regarding productivity and efficiency (Positive Aspects mean = 3.52), while maintaining notable ethical concerns (Concern Aspects mean = 3.64). The instrument demonstrated excellent reliability (Cronbach’s Alpha = 0.921 overall). Mann-Whitney U tests indicated significant gender differences on certain items, particularly bias concerns. Due to the small sample size and self-selection bias, findings should be interpreted cautiously. This study provides preliminary insights and highlights the need for human-centric design, transparent governance, and culturally appropriate regulations to support responsible Agentic AI adoption in Indonesia.
Digital Escape Room Sebagai Media Edukasi Literasi Digital Bagi Siswa SMA Mambang Mambang; Muhammad Zulfadhilah; Septyan Eka Prastya; Subhan Panji Cipta; Abdul Latif; Ratna Lindawati; Trifebi Shina Sabrila; Finki Dona Marleny
Jumat Informatika: Jurnal Pengabdian Masyarakat Vol. 7 No. 2 (2026): Agustus
Publisher : LPPM Universitas KH. A. Wahab Hasbullah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32764/afja2406

Abstract

This community service activity stems from the low digital literacy skills of high school students in recognizing risks, technological ethics, and verifying the veracity of hoax information amidst the rapid development of digital technology. The main objective of this activity is to broaden knowledge and raise students' awareness of the importance of digital literacy, including online security and internet ethics, through innovative and fun methods. The methods applied are participatory learning and experiential learning approaches, where students play an active role in direct practice using web-based Digital Escape Room educational media. This activity involved 22 10th-grade students as participants. The results of the community service activity showed an excellent success rate, where all participants (100%) successfully completed the game challenges correctly. In addition, at least 80% of participants were able to identify the characteristics of hoaxes and carry out simple verification steps.
Pemanfaatan Teknologi Digital dalam Meningkatkan Etika Komunikasi Online Siswa di Sekolah Ratna Lindawati; Trifebi Shina Sabrila; Abdul Latif; Septyan Eka Prastya; Muhammad Zulfadhilah; Subhan Panji Cipta; Mambang Mambang; Abdul Kadir
Jumat Informatika: Jurnal Pengabdian Masyarakat Vol. 7 No. 2 (2026): Agustus
Publisher : LPPM Universitas KH. A. Wahab Hasbullah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32764/zvg2q555

Abstract

This community service (PKM) activity aims to improve students' online communication ethics through the utilization of digital technology. Conducted at SMKS 1 Muhammadiyah Banjarmasin on January 23, 2026, the activity involved 25 students as participants. The method applied was an educative-participatory approach integrating Computer Mediated Communication (CMC) theory and digital literacy framework, implemented through interactive presentations, Digital Escape Room simulations, case studies, and pre-test/post-test instruments. Data reveal that 97% of Indonesian students aged 13–18 access the internet daily (APJII, 2024), yet 45% have experienced cyberbullying and 62% share information without prior verification (UNICEF, 2023). Results showed significant improvement in students' understanding of online communication ethics across all measured dimensions, including digital netiquette, hoax identification, privacy awareness, and responsible use of digital media. Students demonstrated high enthusiasm through active discussion participation. This program is expected to contribute to the formation of an ethical digital communication culture in the school environment and serve as a model for sustainable digital literacy education.
Edukasi AI melalui Program “Berkenalan dengan AI: Robot Pintar Sahabat Manusia” bagi Siswa Sekolah Dasar Trifebi Shina Sabrila; Mambang; Muhammad Zulfadhilah; Septyan Eka Prastya; Subhan Panji Cipta; Abdul Latif; Ratna Lindawati
Jumat Informatika: Jurnal Pengabdian Masyarakat Vol. 7 No. 2 (2026): Agustus
Publisher : LPPM Universitas KH. A. Wahab Hasbullah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32764/7s7sf398

Abstract

The acceleration of Artificial Intelligence (AI) technology development brings major transformations in various aspects of life, including the elementary education sector. However, a wise and targeted understanding and utilization of AI among elementary school students is still very minimal, where digital technology is more often associated with entertainment media or online games. This Community Service activity aims to educate and improve the digital literacy of 5th and 6th-grade students at SDN Kebun Bunga 6 Banjarmasin through an interactive and fun introduction to basic AI concepts under the theme "Getting to Know AI: Smart Robots as Human Companions." The implemented implementation method includes the preparation stage (coordination and module preparation), the implementation stage (pre-test, interactive material presentation, practical demonstration of prompt engineering using Google Gemini, and a critical discussion session), and the evaluation stage (post-test). Quantitative evaluation results show a significant increase in students' understanding, where the average pre-test score of 45.67 increased to 88.33 in the post-test. In addition, students demonstrated high critical thinking skills during the question-and-answer session and were able to practice creating learning prompts independently. The outputs of this activity are an increase in students' digital literacy, a Guidebook for Using AI Wisely for Elementary School Students, and a scientific publication that supports the readiness of the younger generation to face the digital era.
Co-Authors Abdul Kadir Abdul Latif Abdul Latif Abdul Latif Abdul latif Abdul Latif Adriani, Adella Agus Eko Minarno Bie, Kalistowen Christian Sri Kusuma Aditya Daud, Excel Delakamin, Putri Ika Finki Dona Marleny Finki Dona Marleny Ghifari, Nabil Najwa Al Hapsari, Erwenda Tri Ilmiyanor, Akhmad Hafi Ivan Cavanneva Royd M. Ulil Albab Mahdi Mahdi Mambang Mambang Mambang Maretmy, Angella Maulina, Riska Muhamad Kurniawan Muhamad Kurniawan, Muhamad Muhammad Azmi Muhammad Azmi, Muhammad Muhammad Hanafi Muhammad Nursandi Muhammad Zulfadhilah Mujaddid Izzul Fikri Mujaddid Izzul Fikri Nabila Khalilah Sabrina Nadia Azaria Nadia Azaria Nisa, Zapiratun Pepriyani, Nor Lintang Rahman, Sultan Nur Ramadhani, Amanda Putri Ramadhani Ramdhani, Amanda Putri Ratna Lindawati Reski, Chatherina Royd, Ivan Cavanneva Sabrina, Nabila Khalilah Sari, Veronica Retno Septian, Daniel Marvelino Septyan Eka Prastya Septyan Eka Prastya Septyan Eka Prastya Subhan Panji Cipta Subhan Panji Cipta Subhan Panji Cipta Suliana, I Made Sultan Nur Rahman Veronica Retno Sari Yahu, Mikhael Neta Yanti, Hardi Yufis Azhar