Siregar, Dewi Rahmadani
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Heavy Metals Contamination and the Evolution of Environmental Policy: A Comprehensive Bibliometric Reviews Nofriandi, Alwi; Frinaldi, Aldri; Lanin, Dasman; Rembrandt, Rembrandt; Yulkifli, Yulkifli; Dewata, Indang; Siregar, Dewi Rahmadani; Insani, Munadia; Sati’at, Nur Anisa; Febrina, Suci
Science and Environmental Journal for Postgraduate Vol 7 No 1 (2024): Science and Environmental Journals for Postgraduate (SENJOp)
Publisher : Postgraduate School, Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/senjop.v7i1.273

Abstract

This study investigates the relationship between heavy metal pollution and environmental policy through a bibliometric analysis of research published between 2009 and 2023. Heavy metal contamination, involving toxic elements such as lead, cadmium, and mercury, poses significant risks to human health and ecosystems, particularly in areas of intensive industrial activity. The study aims to assess research trends, policy advancements, and collaborative networks to identify gaps and propose future directions. Data were extracted from Scopus, employing keywords like “heavy metals” and “environmental policy”. Biblioshiny software facilitated analyses of publication trends, geographic distribution, co-authorship networks, and citation impact. The findings reveal a marked increase in research output from 2015, driven by international policy initiatives like the Minamata Convention. China leads in publication volume, reflecting its industrial challenges, while other nations like India and Brazil emphasize collaborative efforts. Keyword analyses highlight themes such as health risks, pollution monitoring, and policy evaluation. The study underscores the critical role of global cooperation in addressing pollution through innovative technologies and effective policies.Future research should explore the impact of climate change on heavy metal mobility, long-term health effects, and the integration of AI and IoT in environmental monitoring. These steps are vital for advancing sustainable solutions to mitigate heavy metal pollution.
Multi-Criteria Analysis to Map Malnutrition Vulnerability to The Impact of Climate Change in West Sumatra, Indonesia Defriani Dwiyanti; Barlian, Eri; Razak, Abdul; Dewata, Indang; Syah, Nurhasan; Siregar, Dewi Rahmadani
Public Health of Indonesia Vol. 12 No. 1 (2026): January - March
Publisher : YCAB Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36685/phi.v12i1.1203

Abstract

Background: Indonesia is the world's second most disaster-prone country and faces significant climate change impacts. West Sumatra has high malnutrition, moderate food insecurity, and disaster risk. Mapping climate vulnerability is critical for mitigation and adaptation. Objective: Building on this need, this study aims to map the vulnerability of malnutrition due to climate change in West Sumatra Province, Indonesia. Methods: The research employed an analytical descriptive approach, utilizing secondary data from official agencies. Sources included the Central Statistics Agency of West Sumatra Province, the Meteorology, Geophysics and Climatology Agency, the Indonesian Nutrition Status Survey, and the Indonesian Health Survey from 2019 to 2023. The data covered three vulnerability indicators: exposure, sensitivity, and adaptive capacity. These were analyzed by the Weighted Product method and classified into five categories of vulnerability (very low, low, medium, high, very high) using the Equal Interval method. Results were presented as thematic maps using ArcGIS software. Results: The analysis revealed that 5.3% of areas had very high vulnerability to malnutrition linked to climate change. Meanwhile, 10.5% were high, 26.3% medium, 42.1% low, and 15.8% very low. The coastal regions of Mentawai, West Pasaman, and South Coast were the most vulnerable. Vulnerability was determined by exposure, sensitivity, and adaptive capacity. Regions with higher vulnerability had greater sensitivity and lower adaptive capacity. Regions with lower vulnerability showed better adaptive capacity. Conclusions: Based on the findings, it is recommended to prioritize areas with high and very high vulnerability. Efforts should be focused on improving access to health and nutrition services, empowering women in household food decisions, and strengthening food systems to strengthen regional adaptive capacity. Keywords: mapping; vulnerability; malnutrition; climate change