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Journal : big data analytics and data science

Artificial Intelligence-Based Early Warning System for Disaster Management: A Literature Review Systematic and Bibliometric Analysis Ridwan Zulkifli; Zainal Arifin Hasibuan; Irawan Afrianto; Bella Hardiyana; Sri Supatmi
Big Data Analytics and Data Science Vol. 1 No. 2 (2026): June: Big Data Analytics and Data Science
Publisher : Asosiasi Pengelola Jurnal Informatika dan Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66472/bdas.v1i2.392

Abstract

The increasing frequency and intensity of natural disasters globally demands the development of more accurate and responsive Early Warning Systems (EWS). In recent years, Artificial Intelligence (AI) has been increasingly applied in natural disaster mitigation, but the approaches used are still diverse and spread across various domains. This study aims to present a systematic literature review on the application of AI and deep learning in natural disaster early warning systems. This review was conducted following the PRISMA 2020 guidelines by analyzing literature published during the 2020–2025 period. The selection process resulted in 102 studies meeting the inclusion criteria, with 30 full-text articles being analyzed in depth to map disaster types, AI methods, data sources, and characteristics of early warning systems developed in various regions, including Asia and Africa. The review results show the dominance of deep learning approaches, particularly time series-based models such as Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU), particularly in flood forecasting and land deformation prediction. More advanced architectures, such as Transformer, are beginning to be adopted to capture long-term temporal patterns, while the combination of convolutional neural networks (CNN) with remote sensing data is widely used for spatial mapping of disaster events. Furthermore, the integration of sensor data and the Internet of Things (IoT) shows potential in supporting more responsive early warning systems. However, most research remains limited to the modeling or simulation stage, with little discussion of the real-time and operational implementation of EWS. This review highlights the gap between AI model development and the implementation of reliable early warning systems and provides a conceptual foundation for the future development of more integrated AI-based disaster mitigation systems.
Co-Authors Abdul Razak, Rizky Septiana Agus Sevtiana Agustia, Richi Dwi Alif Finandhita Alif Finandhita Ana Hadiana Andri Heryandi Andri Heryandi Andri Heryandi Andry Maulana Awaludin Angga Setiyadi Ani Anisyah Arinten Dewi Hidayat Asali, Frans Fernando Atin, S Atin, Sufa Bella Hardiyana Bobi Kurniawan, Bobi Dedeng Hirawan Dedeng Hirawan, Dedeng Deni Kurniawan, Deni Derry Berni Cahyady Devy Normalasari Dodi Syaripudin Dwi Agustia, Richi Dwi Novia Al Husaeni Eddy Prasetyo Nugroho Eddy Soeryanto Soegoto Edwin Fajar Nurdiansyah Egi Cahyo Prabowo Eko Budi Setiawan Elisabet Nila S. C. P Erna Piantari Estiko Rijanto Estiko Rijanto Estiko Rijanto Estiko Rijanto Fazri Muhamad Kurnia Finadhita, Alif Finandhita, Alif Firdaus Musyafi Firdaus, Dony Waluya Furqon, Rifan Muhammad Hanhan Maulana Harjono, Risqi Windu Hernalom Sitorus Heryandi, Andri Ibrahim Danial Bisulthon Ifan Dwiguna Irfan Dwiguna Irfan Dwiguna Saputra Irfan Dwiguna Sumitra Irfan Sumitra Irham Jundurrahmaan Janivita Joto Sudirman Joto Sudirman, Janivita Lia Warlina Lusianto Lusianto M Wisnu Hidayatulloh Maulana Awaludin, Andri Maulana, Hanhan Mouhamad Hatta Hiroshi Sasmita Muhamad Nawawi Muhammad Fahmi Irfan Muhammad Ilham Budiawan Muhammad Yanuar, Eko Mutia, S Nanang Abdurahman Nizar Rabbi Radliya Nurhikmah Taliasih Petrus Sokibi Putra Hilmana, Primarazaq Noorshalih Rafdhi, A A Raju Riyanda Rakhmanuddin, Iid Ramadhan Wijanarko Resviani, Devi Richi Dwi Agustia Richi Dwi Agustia Ridho Taufiq Subagio Rifqi Fahrudin Rini Nuraini Sukmana Rizal Rachman Rizki Adha Rizki, Ikhsan Nurul Setiyadi, Angga Sri Supatmi Sri Titi Handayani Sufa Atin Sufa Atin Sufa Atin Sufa'atin Sufa’atin Sufa’atin Suryana, Taryana Suseno, Taufiq Rizky Darmawan Taryana Suryana Ucu Nugraha Widayanti, A Yanuar, Eko Muhammad Yanyan Herdiansyah Yasmi Afrizal Yatawa, H S Yulistian Suryono Zainal Arifin Hasibuan zulkifli, ridwan