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All Journal Jurnal Informatika Jurnal Pilar Nusa Mandiri ILKOM Jurnal Ilmiah EXPLORE Journal Ilmiah Rinjani : Media Informasi Ilmiah Universitas Gunung Rinjani EXPLORE Al-Zayn: Jurnal Ilmu Sosial & Hukum Jurnal Kecerdasan Buatan dan Teknologi Informasi Explore Jurnal Informatika International Journal of Scientific Research Jurnal Perlindungan Masyarakat Bestuur Praesidium
Erfan Wahyudi
Institut Pemerintahan Dalam Negeri, Indonesia
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Social Sciences

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Pemanfaatan Media Sosial Instagram Oleh BNBP Dalam Upaya Mitigasi Bencana Erfan Wahyudi
Jurnal Perlindungan Masyarakat: Bestuur Praesidium Vol. 1 No. 1 (2024): Maret 2024
Publisher : IPDN Kampus NTB

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In the era of technological advancement and digitalization, public access to various information has become increasingly facilitated through social media. Social media platforms, such as Instagram, are considered effective tools to meet the trending information needs. The use of Instagram is not confined solely to individuals and businesses; it extends to various institutions, including the National Disaster Management Agency (BNPB). BNPB, as a governmental body, leverages Instagram as a means to disseminate information related to natural disasters and mitigation efforts. This research aims to comprehend the impact of BNPB's utilization of Instagram in the context of disaster mitigation within the community. The research methodology employed is a qualitative descriptive approach, involving the observation of BNPB's Instagram account and interviews with one of its followers, namely bnpb_indonesia. This qualitative study focuses on observing and analyzing the social environment from an individual perspective. The research findings indicate that the Instagram account bnpb_indonesia serves as an effective platform for disseminating information regarding natural disasters. Through this account, the public can stay updated on the latest news concerning natural disasters and receive education on disaster mitigation methods. BNPB actively employs Instagram as a means of socialization to educate the public about the importance of awareness regarding regions prone to disasters.
Transformasi Digital untuk Mitigasi Banjir: Optimalisasi Sistem Informasi di Jawa Barat Akmal Alamsyah; Erfan Wahyudi
Jurnal Perlindungan Masyarakat: Bestuur Praesidium Vol. 1 No. 2 (2024): September 2024
Publisher : IPDN Kampus NTB

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Penelitian ini bertujuan untuk mengkaji upaya mitigasi banjir di Provinsi Jawa Barat dengan fokus pada integrasi sistem informasi berbasis digital, partisipasi masyarakat, dan tantangan yang dihadapi dalam pelaksanaannya. Metode penelitian yang digunakan adalah studi pustaka, dimana informasi, analisis dan sintesis diperoleh dari berbagai sumber yang relevan dengan topik mitigasi banjir di Jawa Barat. Langkah-langkah penelitian meliputi identifikasi topik penelitian, pencarian pustaka, pemilihan sumber informasi, analisis dan sintesis, penulisan dan pembahasan, serta validasi dan peer review. Hasil penelitian menunjukkan bahwa integrasi sistem informasi berbasis digital telah menjadi komponen kunci dalam upaya mitigasi banjir di Jawa Barat. Penggunaan teknologi seperti sensor cuaca, penginderaan jauh, dan sistem informasi geografis telah memungkinkan pemantauan yang lebih baik, peringatan dini yang cepat, dan pengambilan keputusan yang akurat dalam menghadapi ancaman banjir. Namun, masih terdapat tantangan dalam penerapan sistem informasi ini, antara lain ketersediaan sumber daya, keamanan data, dan integrasi antar institusi. Selain itu, partisipasi masyarakat juga menjadi faktor penting dalam mitigasi banjir di Jawa Barat. Melalui pendidikan, pelatihan dan kesadaran, masyarakat dapat menjadi lebih siap dan responsif terhadap ancaman banjir. Program partisipatif, seperti pembentukan kelompok relawan atau komite mitigasi bencana di tingkat desa, terbukti efektif dalam meningkatkan ketahanan masyarakat terhadap banjir.
Penggunaan Big Data dan Machine Learning dalam Perumusan Kebijakan Publik: Tinjauan terhadap Prinsip Partisipasi Warga Negara Erfan Wahyudi; Muhammad Suhardi; Wiredarme
Jurnal Perlindungan Masyarakat: Bestuur Praesidium Vol. 3 No. 1 (2026): Maret 2026
Publisher : IPDN Kampus NTB

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This study aims to analyze the use of big data and machine learning in public policy formulation by positioning citizen participation as a foundation of democratic legitimacy. The study responds to the growing assumption that data-driven policy is more objective, efficient, and rational, while it may also narrow public participation when governmental decisions rely excessively on digital data and algorithmic recommendations. This research employs a qualitative method with a normative-conceptual approach and library research. The data sources consist of legal materials, policy documents, and academic literature related to big data, machine learning, public policy, digital government, algorithmic governance, and citizen participation. The analysis is conducted through qualitative content analysis and normative interpretation to assess the relationship between analytical technology and participatory principles within the public policy cycle. The findings show that big data and machine learning can strengthen problem identification, agenda setting, policy formulation, implementation, and policy evaluation. However, these technologies also create risks of technocratic policymaking, data bias, underrepresentation of vulnerable groups, weak accountability, and the reduction of citizen participation into mere digital data. This study argues that data-driven policy must preserve public consultation, data correction, citizen objection, decision explanation, and public deliberation. The contribution of this study lies in framing citizen participation as a normative limit on the use of big data and machine learning in public policy formulation.
Integrasi Artificial Intelligence dalam Manajemen Risiko Bencana Pemerintah Daerah: Peluang, Tantangan, dan Model Tata Kelola Adaptif Erfan Wahyudi; Lalu Ahmad Murdhani
Jurnal Perlindungan Masyarakat: Bestuur Praesidium Vol. 2 No. 2 (2025): September 2025
Publisher : IPDN Kampus NTB

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This study aims to analyze the opportunities and challenges of integrating artificial intelligence into local government disaster risk management and to formulate an adaptive governance model that is accountable and ethical. This research employed a qualitative approach using a conceptual-analytical case study method. Data were collected through in-depth interviews, limited discussions, and document analysis of regulations, digital transformation policies, disaster management documents, and relevant academic publications. The data were analyzed thematically through data reduction, theme categorization, data presentation, interpretation, and model formulation. The findings reveal that AI offers strategic opportunities to support risk mapping, disaster prediction, early warning systems, vulnerability analysis, intervention prioritization, and rapid evidence-based decision-making. However, AI integration also faces serious challenges, particularly data fragmentation, data quality, algorithmic bias, black-box models, personal data protection, cross-agency coordination, and limited bureaucratic capacity. The main contribution of this study is the formulation of an adaptive AI governance model consisting of six components: integrated data governance, AI as a decision-support system, algorithmic accountability, cross-sectoral coordination, ethical and data protection safeguards, and continuous adaptive evaluation. This model positions AI as an instrument of public management to strengthen disaster risk reduction in a rapid, accountable, and ethical manner while remaining under meaningful human control.
Co-Authors -, Hoiriyah Achmad Syauqi Agus Miswanto Ahmad Nazar Ahmad Subki Ahmad Subki ahmad yani Ahmed Shodiq Al Misry Akhmad Muzakka Akmal Alamsyah Baihaki, Makmun Baiq Nonik Ria Riska Efendi, Muhamad Masjun Efendi, Muhammad Masjun Elias Hendrik Frasawi erniwati, surni Ery Rizal Hidayat Fobia, Benhard Benyamin Hidayat, Ery Rizal Hoiriyah - I Made Yoga Jaya Kusuma Ifik Arifin Imran, Bahtiar Karim, Muh Nasirudin Karya Gunawan Karya Gunawan Lalu Ahmad Murdhani Lalu Delsi Samsumar, M.Eng. M Zulpahmi M. Zulpahmi Makmun Baihaki Marzuki Maspaeni Maspaeni Moh Subli Moh. Subli Moh. Subli Muahidin, Zumratul Muhammad Masjun Efendi Muhammad Masjun Efendi Muhammad Rijal Alfian Muhammad Suhardi Muhammad Suhardi Muhammad Zohri Muhammad Zohri, Muhammad Murdhani, Lalu Ahmad Muzakka, Akhmad Novian, Lalu Efendi Nurul Yakin Nurul Yakin Nurul Yakin Riska, Baiq Nonik Ria Rosidin Rosidin Rosidin Rosidin Salman Salman Selamet Riadi Selamet Riadi Subektiningsih Subektiningsih Subki, Ahmad Suryadi, Emi Wiredarme Wiredarme Zaeniah Zaeniah Zaeniah Zulpahmi, M Zulpahmi, M.