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All Journal Dinamik Bulletin of Electrical Engineering and Informatics Jurnal Simantec Proceedings Konferensi Nasional Sistem dan Informatika (KNS&I) INTEKNA SMATIKA 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 SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan International Journal of New Media Technology JURNAL PENDIDIKAN TAMBUSAI Jurnal Nasional Komputasi dan Teknologi Informasi CSRID (Computer Science Research and Its Development Journal) Jurnal Tekno Kompak Seminar Nasional Teknologi Informasi Komunikasi dan Administrasi [SEMINASTIKA] Pencerah Publik Jurnal Informasi dan Teknologi Journal of Applied Engineering and Technological Science (JAETS) JTIULM (Jurnal Teknologi Informasi Universitas Lambung Mangkurat) Jurnal Sains Komputer dan Teknologi Informasi Journal of Engineering, Technology, and Applied Science (JETAS) Jurnal Peduli Masyarakat JURNAL PENDIDIKAN, SAINS DAN TEKNOLOGI Tematik : Jurnal Teknologi Informasi Komunikasi Journal of Computer Networks, Architecture and High Performance Computing Jumat Informatika: Jurnal Pengabdian Masyarakat Majalah Ilmiah UPI YPTK Jurnal Ilmiah Multimedia & Komunikasi TIERS Information Technology Journal Jurnal Informatika Dan Tekonologi Komputer (JITEK) Jurnal Forum Kesehatan : Media Publikasi Kesehatan Ilmiah Dinamika Kesehatan: Jurnal Kebidanan dan Keperawatan Journal of Pharmaceutical Care and Sciences Sinergi International Journal of Communication Sciences Adpebi Science Series Politeia : Journal of Public Administration and Political Science and International Relations INSTALL: Information System and Technology Journal Midwifery And Complementary Care Smatika Jurnal : STIKI Informatika Jurnal
Mambang
Universitas Sari Mulia
Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Transportation Other

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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.
Three-Dimensional Animation Design for the Local History Animation "The Origins of Banjarmasin City" Bie, Kalistowen; Daud, Excel; Suliana, I Made; Sabrila, Trifebi Shina; Mambang
Jurnal Ilmiah Multimedia dan Komunikasi JIMK Vol. 10 No. 2, December 2025
Publisher : Sekolah Tinggi Multi Media "MMTC" Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56873/jimk.v10.i2.583

Abstract

The preservation of local history in the digital era requires innovative and interesting media, especially for the younger generation. This study documents the process of designing and producing a 3D animated film entitled "The Origin of the City of Banjarmasin" using Blender software. The project development method includes four main stages: historical exploration, pre-production, production, and post-production. The project produced a short animated film consisting of four key scenes that represent the thematic narrative of Banjarmasin's history, starting from life in a river village to its evolution into a modern city. In production, a hybrid approach is used by combining manual 3D modeling and the utilization of asset templates from open source for efficiency. The results of this project show that Blender is an effective tool for creatively visualizing historical content. 3D animation has proven to have strong potential as an educational medium to revitalize and convey local cultural heritage visually, interactively, and attractively to the digital generation. Three-dimensional visualization allows audiences to experience the historical atmosphere more deeply than conventional media, while opening up more engaging and memorable learning opportunities.
Innovation in Crop Nutrition Planning Based on Rainfall Prediction Using Singular Spectrum Analysis and Boosting to Optimize Agricultural Management Yuslena Sari; Mambang Mambang; Muhammad Zulfadhilah; Subhan Panji Cipta; Muhammad Nursandi; Finki Dona Marleny; Ricardus Anggi Pramunendar; Sunardi Sunardi; Eka Setya Wijaya; Aurelia Monica Sari; Muhammad Alkaff
Journal of Applied Engineering and Technological Science (JAETS) Vol. 7 No. 2 (2026): Journal of Applied Engineering and Technological Science (JAETS)
Publisher : Yayasan Riset dan Pengembangan Intelektual (YRPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/z3mgdv08

Abstract

The high variability of rainfall in tropical climates presents a major challenge for agricultural management, as weather uncertainty often leads to inefficient fertilization practices due to nutrient loss. This study aims to develop a robust framework for rainfall prediction, which can inform a flexible and precise crop nutrient scheduling system. Utilizing an hourly rainfall dataset (n=6,624) obtained from IoT sensors, the research proposes an approach that integrates Singular Spectrum Analysis (SSA) for signal decomposition and noise reduction with Gradient Boosting algorithms (LightGBM and XGBoost). Spline interpolation was employed to handle missing data, while SSA served to disentangle deterministic trends from random noise, enabling the models to perform more effectively on the refined dataset. Empirical evaluation demonstrates that the SSA-XGBoost hybrid model achieves superior performance, with an RMSE of 0.0057 and an R² of 0.8278, significantly outperforming the SSA-LightGBM model (R² 0.2879), which struggled to capture non-linear patterns within this dataset. The high predictive accuracy of the SSA-XGBoost model facilitates the implementation of responsive nutrient management strategies, wherein fertilizer application can be deferred during forecasted periods of high rainfall to prevent runoff and environmental pollution. This research contributes to the field of hydroinformatics by demonstrating the effectiveness of combining SSA and XGBoost as a cost-efficient yet high-performance solution for mitigating climate-related risks in tropical wetland agriculture.
Design and Build 3D Animation Soto Banjar Using Luther Sutopo's Method for Blender-Based Cultural Introduction Nabila Khalilah Sabrina; Muhamad Kurniawan; Muhammad Azmi; Trifebi Shina Sabrila; Mambang
IJNMT (International Journal of New Media Technology) Vol 13 No 1 (2026): Vol 13 No 1 (2026): IJNMT (International Journal of New Media Technology)
Publisher : Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/ijnmt.v13i1.4498

Abstract

Soto Banjar merupakan salah satu kuliner khas Kalimantan Selatan yang memiliki nilai budaya tinggi di masyarakat Banjar. Sayangnya, pengenalan kuliner ini masih terbatas, terutama di kalangan generasi muda yang lebih familiar dengan media digital. Penelitian ini bertujuan untuk merancang dan membangun animasi 3D berbasis Blender dengan pendekatan metode Luther Sutopo, sebagai media visual edukatif untuk memperkenalkan Soto Banjar. Proses pengembangan dilakukan melalui tahapan konseptualisasi, desain, implementasi, dan evaluasi. Tokoh utama bernama Sophie dirancang sebagai representasi penonton dalam mengeksplorasi cerita tentang Soto Banjar. Animasi dikembangkan dengan dukungan perangkat lunak Blender, serta pemanfaatan aset karakter dari Mixamo dan environment dari Sketchfab. Hasil evaluasi menunjukkan bahwa animasi yang dihasilkan efektif dalam menyampaikan nilai-nilai budaya secara menarik dan edukatif, serta mampu menjadi media alternatif promosi budaya lokal yang inovatif
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 Kadir Abdul Latif Abdul latif Adini, Muhammad Hifdzi Ahmad Hidayat Ahmad Hidayat Ahmad Hidayat Ahmad Riki Renaldi Ahmad Riki Renaldy Akhmad Baddrudin Amelia, Mahlianor Anggrita Sari Anggrita Sari Antonia Yenitia Ari Yunus Hendrawan Aulia Fitri, Aulia Aurelia Monica Sari Ayu Ahadi Ningrum Bambang Lareno, Bambang Bayu Nugraha Bayu Nugraha Bie, Kalistowen Bima Wicaksono Cipta, Subhan Panji Daud, Excel Dixky Dixky Dwi Salmarini, Desilestia Fatimah, Nora Ova Putri Martiani Febriani, Wulandari Finki Dona Marleny Fitriansyah, Muhammad Haldi Budiman Haniffah Sri Rinjani Hati Waruwu, Riang Heni Pujiastuti Hudatul Aulia Husna Karima Ika Hariati Ika Hariati Ika Hariati Ika Hariati, Ika Hariati Indah Tri Handayani Indah Wulandari Jaya Hari Santoso Johan Wahyudi Johan Wahyudi, Johan Kamarudin Kartika Kartika Kunti Nastiti Liliana Swastina M Samsul Hasbi M Samsul Hasmi Maria Ulfah Maulida, Ihdalhubbi Maulida, Nur Meilianti Melda Melda Melda, Melda Meyska Widyandini Miranda Miranda Mohammad Basit, Mohammad Muhamad Kurniawan Muhammad Alkaff Muhammad Azmi Muhammad Khairul Akbar Muhammad Nursandi Muhammad Riduan Syafi’i Muhammad Satrio Ayuba Muhammad Zaini Bakri Muhammad Ziki Elfirman Muhammad Zulfadhilah Mukhaimy Gazali Muliawan, dadang Mutiara R, Chatrine Indri Mutmainah Mutmainah Mutmainah Mutmainah Nabila Khalilah Sabrina Nahdi Saubari Nalo Valentino Naparin, Husni Nisa, Reny Ayu Nor Azizah Novita Sari Novriansyah, Irvan Nur Hafiz Ansari Nur Meilianti Maulida Nurhaeni Nurhaeni Nurhaeni Nurhaeni Nurhasanah Nurhasanah Oktavia, Samita Oktovin, Oktovin Pasaribu, Annisa Pebrianti, Eva Wulani Prasetya, M. Riko Anshori Prastya, Septyan Eka Pratama, Ramadhani Noor Putri Putri Putri Putri, Putri Rafi'i, Rafi'i Rahmini Rahmini Ramli, Muhammad Reza Ratna Lindawati Reni Emiliya Ricardus Anggi Pramunendar Risdianti, Risdianti Risma Maulida Risma Risma Rismawati Rismawati Rizkian Muhammad Fikri Rochman, Wisnu Nur Ropikah Ropikah Ropikah, Ropikah Rudy Ansari Rudy Ansari Rudy Ansari, Rudy Rusidah Rusidah Rusidah, Rusidah Sabella, Billy Sabrila, Trifebi Shina Samita, Mambang Sandro Nesta Pembriano Sari, Anggrita Sa’adah Sa’adah Septyan Eka Prasetya Septyan Eka Prastya Septyan Eka Prastya Septyan Eka Prastya Siti Gadis Hardianti Subhan Panji Cipta Subhan Panji Cipta Subhan Panji Cipta Subhan Panji Cipta Suliana, I Made Sultan Arrasyid SUMARNI ZAINUDDIN Sunardi, Ph.D., Sunardi Syapotro, Usman Tasya Salsabila Theresia Kurniati Seran Tiara, Astia Rahma Tumanggor, Agustina Hotma Uli Wahyudin, Rahmawati Wijaya, Eka Setya Winda Astria Nuansa Saputri Winda Astria Nuansa Saputri Windarsyah Windarsyah Wulandari Febriani Wulandari Febriani Yanti Saubari Yanti Saubari Yuslena Sari, Yuslena