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PERAN STRATEGIS PEMUDA DALAM MITIGASI BENCANA DI INDONESIA: A SYSTEMATIC LITERATURE REVIEW Yonatan Yolius Anggara; Dyah Respati Suryo Sumunar; Nursida Arif; Rosyid Shidiq Hidayatulloh
Jurnal Samudra Geografi Vol 8 No 2 (2025)
Publisher : Program Studi Pendidikan Geografi, Fakultas Keguruan dan Ilmu Pendidikan, Universitas Samudra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33059/jsg.v8i2.11383

Abstract

Abstract: Indonesia, as a disaster-prone country, requires effective disaster mitigation efforts. Youth participation in disaster mitigation has increased significantly over the past few decades, marked by their involvement in various preparedness activities and policy advocacy. This study aims to identify, analyze, and summarize the contributions of youth in disaster mitigation, as well as explore the supporting factors and challenges they face, through a systematic literature review. The findings indicate that youth play an important role across several scales: individual scale, pre-disaster, during disaster, post-disaster, and community scale. The factors driving youth involvement include system support, individual capacity, as well as motivation and active participation. However, there are challenges that hinder youth engagement, such as limited resources, system weaknesses, and a lack of awareness and participation from the community. This study recommends developing community-based disaster mitigation and utilizing social media as a campaign tool. These findings underscore the importance of empowering youth to play an active role in disaster mitigation in a more structured and sustainable manner.
Analyzing Public Sentiment on The 2024 'Galodo' Disaster Using Natural Language Processing (NLP) Yonatan Yolius Anggara; Dyah Respati Suryo Sumunar; Nurul Khotimah; Rosyid Shidiq Hidayatulloh
International Journal of Geography, Social, and Multicultural Education Vol. 3 No. 2 (2025): 1 October 2025
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/ijgsme.v3n2.p1-12

Abstract

This study investigates public sentiment during flash floods (Galodo) in West Sumatra by analyzing Twitter data using Natural Language Processing (NLP) via text2data.com. The research applies Latent Dirichlet Allocation (LDA) for topic modeling to identify dominant themes in public discussions. Findings indicate that 97.9% of sentiments expressed were positive, primarily centered on disaster impacts, situational updates, flood causes, and community reactions to government-led disaster management efforts. The study underscores social media’s influence in shaping public discourse during crises. A key contribution of this research is its integration of LDA-based topic modeling with sentiment analysis, specifically targeting Twitter discussions on flash floods in West Sumatra. This methodological approach offers valuable insights into how communities communicate and perceive natural disasters through digital platforms. The results suggest that social media fosters constructive dialogue during environmental emergencies, which can inform crisis communication strategies and enhance disaster response policies. By examining public sentiment and discussion trends, the study highlights the potential of social media analytics for improving disaster management frameworks. The predominance of positive sentiments reflects community resilience and engagement, providing policymakers with data-driven perspectives to optimize emergency responses. This research advances understanding of digital communication patterns during disasters, demonstrating the utility of NLP and topic modeling in crisis-related social media analysis.Ultimately, the findings emphasize the importance of leveraging social media data to gauge public sentiment, enabling more effective disaster communication and policy adaptations in vulnerable regions like West Sumatra.