1,720,961 research outputs found

    Model kebijakan strategis pengelolaan lingkungan kawasan industri (Studi Kasus Kawasan Industri Jababeka dan EJIP di Kabupaten Bekasi)

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    The model of key factors contributing to support sustainability of the environmental management in the industrial estate were studied. These factors were the result of the prior research of prospective analysis that classified as the leverage factors and the driving factors. These factors were studied by the Analytical Hierarchy Process (AHP) as the criteria and alternatives input to elaborate the priority in the model of environmental management. AHP matrices were analyzed by purposive expert in the depth interview procedure. The analysis result showed that the industrial estate manager is the most important as the firts actor in the model (63.7%), the second actor is the industrial company as the tenant of the first actor (25.8%), and third actor is the local government (10.5 %). The priority of the dimension of the model in a row were economic (38.1%), social (19.4%), institutional management (19.3%), ecology (13.8%) and technology (9.4%). For developing the model there were five driving factors that develop the alternatives of the policy for achieving the goal. The priority of the alternatives in a row were improving the quality of industrial wastewater (29.5%), improving wastewater quality of integrated wastewater treatment plant outlet of the estate manager facility (21.5%), obtaining the industrial water demand (19.1%), conducting 3R (reduce, reuse and recycle) program of hazardous waste, and maintaining and supporting employed people in condusive work environment. By AHP result which resulting the priority of actors, dimensions, and alternatives, the model was developed effectively

    Study of Eco-Enzyme Application in Reducing Nitrite Concentration and Ph Value in Water Sample

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    The number of high fruit loss must be resolved immediately. East Java produces the highest number of banana and orange. To prevent the fruit loss, as mitigation, the fruit loss can be used to make eco-enzymes as biodegradable agents which was made from nature to treat contaminated water from nitrite contamination and high pH value. Contaminations such as nitrite in water pose significant risks, particularly to organisms. Nitrite contamination can adversely affect humans by reacting with hemoglobin, leading to the formation of methemoglobin, which hampers the blood's ability to bind with oxygen and transport it to body tissues. Eco-enzymes serve as biocatalysts to accelerate the nitrification process, converting ammonia into nitrate with nitrite as an intermediate product. This study was conducted on a laboratory scale, using water samples comprised of distilled water and nitrite standard solution. Two types of eco-enzymes, derived from banana and orange waste, were applied at a 5% concentration to reduce nitrite levels and pH values in the water samples. The results indicated that the orange eco-enzyme reduced nitrite concentrations by 73.2% and pH values by 38.42%, while the banana eco-enzyme achieved a reduction of 93.89% in nitrite concentrations and 23.15% in pH values. As an application of this study, the 5% eco-enzyme solution holds promise for use in biological treatment within wastewater treatment plants, particularly in aeration tanks, to enhance the nitrification process, thereby aiding in the reduction of nitrite concentrations and pH values in wastewater

    Greenhouse gas emission calculation and energy impact of TPS3R flamboyan using waste reduction model (WARM) V.15: Implications for disaster risk reduction

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    Background: Human activities contribute to increased greenhouse gas concentrations, such as CO₂ and CH₄, which intensify the greenhouse effect and elevate Earth's temperature. TPS3R Flamboyan aims to reduce plastic waste through recycling, composting, and landfilling at TPA Cipeucang. While these processes help reduce waste, they can also produce CO₂ emissions. This study evaluates the CO₂ emissions from the baseline waste management scenario and compares it with an alternative scenario using the Waste Reduction Model (WARM) to assess GHG emissions and energy use. Methods: Data was collected in June 2020 from TPS3R Flamboyan and TPA Cipeucang in South Tangerang, analyzing waste types and GHG emissions using the WARM software. The study utilized baseline and alternative waste management scenarios to assess CO2 emissions and energy use, with input data on various waste types such as food waste and plastics. WARM compared the emissions and energy use for each scenario, providing insights on GHG reductions and energy efficiency in waste management practices. Findings: Total GHG emissions from baseline MSW generation and management (MTCO2E) is  -2.23 and total GHG emissions from alternative MSW Generation ad management (MTCO2E) is -4,46. Total Energy use from baseline MSW Generation and Management (million BTU) is -33.98 and total Energy use from alternative MSW generation and Management (million BTU) is -92.22. Conclusion: Both scenarios indicate that the alternative scenario results in a higher reduction of emissions compared to the baseline management. This demonstrates the effectiveness of the alternative waste management practices in reducing greenhouse gas emissions. Novelty/Originality of this article: This research provides a novel approach by using the Waste Reduction Model (WARM) application, developed by the U.S. Environmental Protection Agency (EPA), to estimate greenhouse gas emissions and energy use in municipal solid waste management scenarios. This application offers high-level estimates for emissions reduction and energy efficiency, providing valuable insights for waste management practices

    Greenhouse gas emission calculation and energy impact of TPS3R flamboyan using waste reduction model (WARM) V.15: Implications for disaster risk reduction

    Get PDF
    Background: Human activities contribute to increased greenhouse gas concentrations, such as CO₂ and CH₄, which intensify the greenhouse effect and elevate Earth's temperature. TPS3R Flamboyan aims to reduce plastic waste through recycling, composting, and landfilling at TPA Cipeucang. While these processes help reduce waste, they can also produce CO₂ emissions. This study evaluates the CO₂ emissions from the baseline waste management scenario and compares it with an alternative scenario using the Waste Reduction Model (WARM) to assess GHG emissions and energy use. Methods: Data was collected in June 2020 from TPS3R Flamboyan and TPA Cipeucang in South Tangerang, analyzing waste types and GHG emissions using the WARM software. The study utilized baseline and alternative waste management scenarios to assess CO2 emissions and energy use, with input data on various waste types such as food waste and plastics. WARM compared the emissions and energy use for each scenario, providing insights on GHG reductions and energy efficiency in waste management practices. Findings: Total GHG emissions from baseline MSW generation and management (MTCO2E) is  -2.23 and total GHG emissions from alternative MSW Generation ad management (MTCO2E) is -4,46. Total Energy use from baseline MSW Generation and Management (million BTU) is -33.98 and total Energy use from alternative MSW generation and Management (million BTU) is -92.22. Conclusion: Both scenarios indicate that the alternative scenario results in a higher reduction of emissions compared to the baseline management. This demonstrates the effectiveness of the alternative waste management practices in reducing greenhouse gas emissions. Novelty/Originality of this article: This research provides a novel approach by using the Waste Reduction Model (WARM) application, developed by the U.S. Environmental Protection Agency (EPA), to estimate greenhouse gas emissions and energy use in municipal solid waste management scenarios. This application offers high-level estimates for emissions reduction and energy efficiency, providing valuable insights for waste management practices

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    Variations on the Author

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    “Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship

    Appropriate Similarity Measures for Author Cocitation Analysis

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    We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis

    Dispelling the Myths Behind First-author Citation Counts

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    We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more sophisticated methods

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