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61,005 resultsShowing papers similar to Social Media Based Decision Support Model To Solve Indonesian Waste Management Problem: An Improved Version
ClearAnalysis of Popular Social Media Topics Regarding Plastic Pollution
Researchers applied five topic modelling techniques including LDA, HDP, LSI, NMF, and STM to 274,404 plastic pollution-related tweets to identify dominant public discourse themes on social media. The analysis revealed that certain techniques were more effective at capturing topic coherence and prevalence, providing policymakers with tools to understand public opinion and target environmental communication strategies.
Public Attention Formation in the "Diet Kantong Plastik" Social Movement
This qualitative study examines how Indonesia's Plastic Bag Diet Movement used social media to build public attention for reducing plastic use, finding that consistent, informative messaging and strategic timing helped grow the campaign's reach. The research suggests that digital advocacy can effectively raise environmental awareness but must also close the gap between awareness and individual action.
Do Social Media Posts Influence Consumption Behavior towards Plastic Pollution?
Researchers surveyed 213 individuals to assess how social media posts influence consumer behavior toward plastic pollution, finding that information campaigns on social media can shift attitudes and reduce plastic consumption intentions.
Twitter data analysis to assess the interest of citizens on the impact of marine plastic pollution
Analysis of approximately 140,000 tweets about marine plastic pollution found that public engagement peaked in response to high-profile events like media reports and plastic ban announcements, with most activity from non-expert users sharing alarming content, while scientific accounts generated less engagement, suggesting that science communication strategies need rethinking.
Regional Model Development of Plastic Waste Monitoring: Basic Framework from Population and Public Market in Central Java-Indonesia
This paper develops a regional monitoring framework for plastic waste management in Central Java, Indonesia, linking population data and public market activity to plastic waste generation and environmental flow. The framework is designed to support local governments in tracking and managing plastic pollution entering coastal and ocean environments.
Evaluation of formal waste reduction facility location compared to recyclable plastic waste generation in Denpasar City, Bali, Indonesia
Researchers modeled the spatial distribution of recyclable plastic waste generation across 200 households in Denpasar City, Bali, using six machine learning algorithms, with a Light Gradient Boosting Machine (LGBM) model achieving an R2 of 0.954 on test data. Spatial analysis of formal waste reduction facility coverage revealed only 32% area coverage and 46% capacity utilization, indicating major gaps in the city's waste management infrastructure.
Legal and socio-economic outlook of waste bank: Environmental pollution and public health assessment in sustainable household waste management practices
This study develops a regulatory model for household waste management in Indonesia, analyzing the legal frameworks governing waste banks and assessing their public health and socio-economic implications within the context of sustainable waste management reform.
Generative AI and Discovery of Preferences for Single-Use Plastics Regulations
This paper is not about microplastics — it investigates whether generative AI tools can reliably capture consumer preferences for single-use plastics regulations by analyzing large-scale social media data.
Machine learning approach for automated beach waste prediction and management system: A case study of Mumbai
Researchers developed a machine learning system to predict beach waste generation patterns in Mumbai, aiming to enable more effective and automated waste management for one of the world's most polluted coastal cities.
Coastal Community Perspective, Waste Density, and Spatial Area toward Sustainable Waste Management (Case Study: Ambon Bay, Indonesia)
Researchers assessed community perspectives and waste density in coastal areas of Ambon Bay, Indonesia, finding that improving community understanding of waste management is essential for supporting sustainable coastal waste management programs.
Global Plastic Waste Management: Analyzing Trends, Economic and Social Implications, and Predictive Modeling Using Artificial Intelligence
This study analyzed global plastic waste management practices and used artificial intelligence models to predict future waste trends. The researchers found that current waste management systems are struggling to keep up with rising plastic production, posing threats to ecosystems, human health, and the economy. The AI models help forecast where waste generation is headed, which could inform better policy decisions.
Ocean plastic crisis—Mental models of plastic pollution from remote Indonesian coastal communities
Remote coastal communities in Indonesia are overwhelmed by plastic pollution despite low plastic literacy, largely because rising living standards have increased single-use plastic consumption while geography and poor waste infrastructure leave communities with few disposal options. The study highlights the need for supply-side interventions and better waste management systems, not just consumer education.
Keep Your Litter in the Loop: Predicting Generation Z’s Intention to Recycle Single-use Plastic Waste
Researchers investigated the factors predicting Generation Z's intention to recycle single-use plastic waste in Indonesia, examining how government policy awareness, social movement influence, and behavioral determinants shape recycling intentions among young consumers amid growing plastic waste challenges.
Efektivitas Hukum Lingkungan Dalam Mengurangi Sampah Plastik Di Lautan Indonesia Pada Era Globalisasi
Researchers examined the effectiveness of environmental law in reducing plastic waste in Indonesian seas during the era of globalization, assessing whether legal frameworks and the spread of awareness through social media can meaningfully curb plastic pollution in marine ecosystems.
Contribution of social media to cetacean research in Southeast Asia: illuminating populations vulnerable to litter
Researchers used social media data to identify cetacean (whale and dolphin) sightings and entanglement with marine litter in Southeast Asia, filling critical knowledge gaps about plastic pollution impacts on marine mammals. The study shows social media can be a valuable tool for conservation research in regions with limited scientific monitoring.
Improving residential plastic waste management strategies for increasing value added to environmental sustainability
Researchers surveyed community awareness and behavior regarding plastic waste management in an Indonesian village, identifying gaps between knowledge and practice. Improving community engagement with proper plastic waste disposal is essential for reducing the plastic entering waterways and eventually becoming microplastics.
A Quantitative Dynamic Model for Managing Litter Abundance in the Trash Trap of an Urban Lake in Indonesia
Researchers developed a mathematical model to predict and manage litter accumulation in an urban lake in Indonesia, identifying key drivers of debris buildup. Urban lake management requires continuous litter control to prevent plastic waste from breaking down into microplastics in aquatic environments.
Information Extraction from Unstructured Data on Microplastics through Text Mining
Researchers used text mining and natural language processing to analyze unstructured news and social media data about microplastic pollution. The approach revealed hidden trends and public concerns that are not always captured in academic literature, offering a new way to track how awareness of microplastics is evolving.
Marine Waste Management Policy As An Effort To Prevent Environmental Pollution And Sustainability Of Marine Ecosystems: Indonesia Perspective
This paper reviews Indonesia's marine waste management policies and concludes that plastic waste is the dominant type of marine litter in Indonesian waters, but existing regulations have not been fully enforced. The authors call for stronger upstream and downstream controls on plastic production and disposal to protect marine ecosystems, which are major sources of seafood for human consumption.
The predictive model for COVID-19 pandemic plastic pollution by using deep learning method
Researchers built a deep learning model to predict how pandemic-related plastic waste — masks, gloves, and sanitizer bottles — would spread as pollution across Iranian megacities during COVID-19. Their neural network outperformed six other modeling methods, offering a tool for governments to manage hazardous plastic waste during future health crises.
Campaigning Environmental Conservation During the Pandemic: A Social Media Reception Analysis
This study analyzed how environmental conservation campaigns shifted to social media during COVID-19 lockdowns to maintain public engagement. Social media campaigns about plastic pollution have become important tools for raising awareness of microplastic contamination and motivating policy change.
The Effects of Community Characteristics on Solid-Waste Generation and Management in the Village (A Case Study: Kurandak, North Sumatra)
A study in a North Sumatra village used questionnaires and interviews to assess how demographic and socioeconomic factors influence both household waste generation and participation in waste management. Education, income, and knowledge about waste management were significant predictors of both waste volume and responsible disposal behavior. Community-level programs that address these factors could improve plastic waste management in rural settings.
Construction of a plastic waste management policy model in the coastal city of Padang
Researchers evaluated plastic waste management policies in the coastal city of Padang, Indonesia, using descriptive interviews with stakeholders across relevant government agencies, finding that existing policies focus exclusively on land-based household waste and lack specific provisions for coastal plastic management. They found that the only applicable national regulation (Presidential Regulation No. 83 of 2018 on Marine Waste Management) has not been effectively implemented in coastal cities like Padang.
The impact of improper solid waste management to plastic pollution in Indonesian coast and marine environment
Indonesia's plastic pollution problem in coastal and marine environments is largely driven by improper solid waste management on land, with rivers carrying significant plastic loads to the sea. The study emphasizes that improving terrestrial waste collection and disposal infrastructure is essential for reducing Indonesia's substantial contribution to ocean plastic pollution.