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All Journal Bulletin of Electrical Engineering and Informatics Jurnal Simantec Jurnal Informatika dan Teknik Elektro Terapan Proceedings Konferensi Nasional Sistem dan Informatika (KNS&I) JOIV : International Journal on Informatics Visualization Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JOURNAL OF APPLIED INFORMATICS AND COMPUTING Jurnal Komtika (Komputasi dan Informatika) Martabe : Jurnal Pengabdian Kepada Masyarakat Jurnal Nasional Komputasi dan Teknologi Informasi CSRID (Computer Science Research and Its Development Journal) Jurnal IMPACT: Implementation and Action Technologia: Jurnal Ilmiah Seminar Nasional Teknologi Informasi Komunikasi dan Administrasi [SEMINASTIKA] Jurnal Informasi dan Teknologi Journal of Applied Engineering and Technological Science (JAETS) JTIULM (Jurnal Teknologi Informasi Universitas Lambung Mangkurat) JURNAL PENDIDIKAN, SAINS DAN TEKNOLOGI Tematik : Jurnal Teknologi Informasi Komunikasi Journal of Computer Networks, Architecture and High Performance Computing Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Walisongo Journal of Information Technology Jumat Informatika: Jurnal Pengabdian Masyarakat Majalah Ilmiah UPI YPTK Jurnal Media Informatika TIERS Information Technology Journal Jurnal Informatika Dan Tekonologi Komputer (JITEK) Digital Transformation Technology (Digitech) Adpebi Science Series Jurnal Kolaborasi Sains dan Ilmu Terapan INSTALL: Information System and Technology Journal Darma Abdi Karya: Jurnal Pengabdian Kepada Masyarakat Jurnal Komtika (Komputasi dan Informatika) Jurnal Informatika Dan Tekonologi Komputer INTECH - Informatika Dan Teknologi Density Journal
Finki Dona Marleny
Universitas Muhammadiyah Banjarmasin
Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Library & Information Science Mathematics Neuroscience Social Sciences Transportation Other

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Journal : journal of applied informatics and computing

 1 
Analysis of the Impact of Violent Content on Social Media on Adolescent Cyberpsychology Using Support Vector Machine and Random Forest Febriani, Wulandari; Mambang, Mambang; Prastya, Septyan Eka; Sabella, Billy; Marleny, Finki Dona
Journal of Applied Informatics and Computing Vol. 10 No. 1 (2026): February 2026
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v10i1.11415

Abstract

Adolescent exposure to violent content on social media has emerged as a critical issue due to its potential impact on mental health and cyberpsychological well-being. This study aims to classify multiple cyberpsychological impacts experienced by adolescents as a result of exposure to violent content on social media using a multi-label machine learning approach. A quantitative method was employed using self-reported data collected from 550 Indonesian adolescents aged 12–18 years through an online questionnaire. Psychological impacts were measured using adapted instruments from the Depression Anxiety Stress Scales (DASS-21) and cyberpsychology scales, then transformed into multi-label targets. Support Vector Machine (SVM) and Random Forest algorithms were implemented using a One-vs-Rest strategy. Model performance was evaluated using Hamming Loss, precision, recall, and Macro F1-score. The results indicate that SVM outperformed Random Forest with a Hamming Loss of 23.16% and a Macro F1-score of 0.42, particularly in predicting dominant labels such as anxiety and decreased self-confidence. However, both models showed limited performance in predicting minority labels such as depression and academic decline due to data imbalance. These findings highlight the importance of handling imbalanced data in cyberpsychology-based machine learning research and demonstrate the potential of multi-label classification in representing the complexity of psychological impacts of digital violence on adolescents.
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.
Co-Authors Abdul latif Ade Putri Maharani Adha, Muhammad Iqbal Ahmad Aqli Ahmad Faisal Hamidi Ahmad Hidayat Ahmad Hidayat Ahmad Hidayat Ahmad Nawawi Ahmad Nawawi Ahmad Riki Renaldy Akhmad Baddrudin Antonia Yenitia Aulia Fitri Aulia Fitri Aulia Fitri, Aulia Aurelia Monica Sari Ayu Ahadi Ningrum Bambang Lareno, Bambang Bayu Nugraha Bima Wicaksono Damayanti, Alfisah Dixky Dixky Elisa Fitriana Fatahulrahman, Maman Febriani, Wulandari Fitriansyah, Muhammad Gazali, Mukhaimy Hamdani Hamdani Haniffah Sri Rinjani Hudatul Aulia Ihdalhubbi Maulida Ihsanudin Indah Wulandari Jaya Hari Santoso Johan Wahyudi Johan Wahyudi Johan Wahyudi, Johan Kamaruddin Kamarudin Kamarudin Kamarudin Kartika Kartika Liliana Swastina Lufila, Lufila M Samsul Hasbi M Samsul Hasmi Mahdi Mahdi Maman Fatahulrahman Mambang Mambang Fitriansyah Mambang Mambang Maria Ulfah Maulida, Ihdalhubbi Meila Izzana, Meila Melda Melda Miranda Miranda Muhammad Alkaff Muhammad Hanafi Muhammad Khairul Akbar Muhammad Noval Muhammad Nursandi Muhammad Riduan Syafi’i Muhammad Satrio Ayuba Muhammad Tantowi Jauhari Muhammad Zaini Bakri Muhammad Ziki Elfirman Muhammad Ziki Elfirman Muhammad Ziki Elfirman, Muhammad Ziki Muhammad Zulfadhilah Mukhaimy Gazali Mutmainah Mutmainah Nadia Azaria Nadia Azaria Nahdi Saubari Nalo Valentino Nor Azizah Novita Sari Novriansyah, Irvan Nur Hafiz Ansari Nur Meilianti Maulida Nurhaeni Nurhaeni Prastya, Septyan Eka Putri Putri Putri Putri, Putri Radhitya Abdi Nurhafiz Rahmini Rahmini Raisya Alifa Khansa Ratna Lindawati Reni Emiliya Ricardus A P, Ricardus A Ricardus Anggi Pramunendar Risma Maulida Risma Risma Rismawati Rismawati Rizkian Muhammad Fikri Rizma Nurhaliza Ropikah Ropikah Rudy Ansari Rudy Ansari Rudy Ansari, Rudy Sa'adah Sa'adah Sabella, Billy Sabrila, Trifebi Shina Samita, Mambang Sandro Nesta Pembriano Sa’adah Sa’adah Septian Eka Prastya Septyan Eka Prastya Septyan Eka Prastya Shofia Zulfa Subhan Panji Cipta Subhan Panji Cipta Sunardi, Ph.D., Sunardi Susanti, NurAina Tasya Salsabila Theresia Kurniati Seran Tiara, Astia Rahma Trifebi Shina Sabrila Tumanggor, Agustina Hotma Uli Wijaya, Eka Setya Winda Astria Nuansa Saputri Winda Astria Nuansa Saputri Windarsyah Windarsyah Wulandari Febriani Yulisa Suryana Yuslena Sari, Yuslena