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<![CDATA[Environmental Sustainability: How Greenpeace Id Conducts Campaigns Regarding Plastic Waste Management through Social Media in Indonesia ]]>
<![CDATA[Inrinofita Sari]]>;
<![CDATA[Eko Priyo Purnomo]]>;
<![CDATA[Suswanta Suswanta]]>;
<![CDATA[Nuryanti Mustari]]>
<![CDATA[ Jurnal Presipitasi : Media Komunikasi dan Pengembangan Teknik Lingkungan Vol 19, No 3 (2022): November 2022 ]]>
Publisher : <![CDATA[Universitas Diponegoro ]]>
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DOI: 10.14710/presipitasi.v19i3.510-519
<![CDATA[Indonesia is estimated to be one of the largest plastic-producing countries in the world. The high use of plastic will cause people to become dependent on plastic. However, dependence on plastic has a destructive impact, which makes plastic potentially harmful to human health and the environment; Greenpeace shares this concern and makes it the basis for organizing a campaign. This study aims to analyze and see how the Greenpeaceid account interacts with Twitter social media accounts through mentions and hashtags used to drive for handling plastic waste in Indonesia. This study uses qualitative research, which uses Q-DAS (Qualitative Data Analysis Software) to analyze the data; the software used is Nvivo 12 Plus. The result of this research is that Greenpeaceid uses social media as a media campaign related to the issue of plastic waste pollution. The social media used by Greenpeace is twitter; on this social media, the form of a campaign is carried out by using #Pantangplastik and #Breakfreefrompalstic, which contains various documentation related to suitable actions in managing plastic waste so that the environment is not polluted again. The existence of the #Pantangplastik Campaign will gradually reduce the use of plastic waste.]]>
<![CDATA[Biodiversity, Roles, and Potency of Bacteria in Agricultural Land ]]>
<![CDATA[Wahyu Purbalisa]]>;
<![CDATA[Dian Hendrayanti]]>;
<![CDATA[Wahida Annisa Yusuf]]>
<![CDATA[ Jurnal Presipitasi : Media Komunikasi dan Pengembangan Teknik Lingkungan Vol 19, No 3 (2022): November 2022 ]]>
Publisher : <![CDATA[Universitas Diponegoro ]]>
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DOI: 10.14710/presipitasi.v19i3.520-531
<![CDATA[Biotic and abiotic factors influence biodiversity. Environment and human activities change biodiversity. Human activities to get their food through agricultural activities affect the diversity of bacteria in agricultural lands. Cultivation techniques, plant species, plant growth stadia, and soil influence the diversities of bacteria in agricultural land. The dominant bacteria on agricultural land are from the phyla Proteobacteria, Actinobacteria, Acidobacteria, Bacteroidetes, and Firmicutes. Proteobacteria play a role in the nitrogen, carbon, and sulphur cycles, Actinobacteria in the carbon cycle, and Acidobacteria in the nitrogen cycle. Bacteroidetes work as decomposers of organic matter. Firmicutes are required for biocontrol and plant growth. The high use of pesticides in agricultural land has decreased the diversity of bacteria. Indigenous bacteria that survive in the condition of high pesticide residue contamination have the potential as remediation agents for pesticide residues. Indigenous bacteria can degrade pesticide residues through oxidation-reduction and complexation reactions, thereby reducing the level of pesticide contamination.]]>
<![CDATA[Rainwater Harvesting-Based Water Resources Conservation ]]>
<![CDATA[I Made Kariyana]]>;
<![CDATA[Tri Hayatining Pamungkas]]>;
<![CDATA[Ida Bagus Weda Erlangga]]>
<![CDATA[ Jurnal Presipitasi : Media Komunikasi dan Pengembangan Teknik Lingkungan Vol 19, No 3 (2022): November 2022 ]]>
Publisher : <![CDATA[Universitas Diponegoro ]]>
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DOI: 10.14710/presipitasi.v19i3.532-541
<![CDATA[Denpasar City has an index of population increase worth 2.07% every year. It is feared that this will become a new problem in terms of environmental sustainability, such as the overexploitation of groundwater to meet the community’s water needs. This study aims to support the sustainability of water resources by using Rainwater Harvesting (RWH) as a form of green building planning. The method used in this study is a quantitative descriptive method, which is an analysis method carried out to calculate and describe the scale of RWH in the focus of the system’s effectiveness with the study location in the campus environment of the Ngurah Rai University Denpasar. The results of the study stated that 11 roofs of capture buildings produced rainwater of 1,783,350 litres/year. Another analysis said that this RWH method could cover all water needs, especially water used for flushing toilets. It is stated that the total water deficit of -703,734 litres/year can be subsidized from the entire remaining rainwater harvesting water of 879,624 litres/year. In addition, rainwater harvesting also plays a role as a form of effort to maintain the conservation of water resources and the application of green buildings that are energy efficient and environmentally friendly.]]>
<![CDATA[Fluctuations of PM2.5 and NOx Concentration and Their Relationship with Meteorological Factors in the Rural Area (Case Study: Puncak Bogor) ]]>
<![CDATA[Ni Putu Intan Permata Teani]]>;
<![CDATA[Ana Turyanti]]>;
<![CDATA[Ronald Christian Wattimena]]>;
<![CDATA[Yudith Vega Paramitadevi]]>;
<![CDATA[Farhan Kurniawan]]>
<![CDATA[ Jurnal Presipitasi : Media Komunikasi dan Pengembangan Teknik Lingkungan Vol 19, No 3 (2022): November 2022 ]]>
Publisher : <![CDATA[Universitas Diponegoro ]]>
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DOI: 10.14710/presipitasi.v19i3.451-463
<![CDATA[Rural areas are generally synonymous with better air quality than urban areas. However, if there is an agricultural activity, it has the potential to release nitrogen from the soil, be oxidized and form NO and NO2 in the air. These two gases encourage the formation of secondary PM2.5 particulates in the air of rural areas. This study aims to analyze fluctuations in PM2.5 concentration in rural areas, the effect of its precursor NOx, and the influence of meteorological factors. The location used as a case study is the Cibeureum area, Puncak, Bogor Regency. The data used are PM2.5, NO, NO2, NOx concentration data (per 3 hours), rainfall, air temperature, wind speed and direction in 2019 and 2020, which were analyzed using correlation and linear regression and the open-air package provided by RStudio. The results showed that the concentration of PM2.5 with NOx as a precursor had a significant positive correlation in 2019 (r = 0.68) and 2020 (r = 0.63). Cumulative precipitation affects the concentration of PM2.5 and NOx in the air. Meteorological factors have a small correlation value to fluctuations in PM2.5 concentration and NOx concentration except for air temperature (r = 0.3).]]>
<![CDATA[Methylene Blue Adsorption by Activated Carbon and Nano–Activated Carbon from Biomass Waste: A Review ]]>
<![CDATA[Mindriany Syafila]]>;
<![CDATA[Qomarudin Helmy]]>;
<![CDATA[Akhmad Masykur Hadi Musthofa]]>
<![CDATA[ Jurnal Presipitasi : Media Komunikasi dan Pengembangan Teknik Lingkungan Vol 19, No 3 (2022): November 2022 ]]>
Publisher : <![CDATA[Universitas Diponegoro ]]>
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DOI: 10.14710/presipitasi.v19i3.553-565
<![CDATA[Dyes are becoming increasingly prevalent in wastewater, and their presence caused serious threats to the environment. One of the most widely used dyes is methylene blue which has been used in the textile industry to dye cotton, wool, and silk. As a solution to this problem, using biomass (usually considered agricultural or plantation waste) as activated carbon is an important issue. Because based on previous studies, these materials are not only abundant and affordable but also have high efficiency in removing dye. Therefore, this paper will provide a further review of the latest research on the use of activated carbon from biomass as an adsorbent for methylene blue, which includes the conversion process of biomass into activated carbon, the mechanism of methylene blue adsorption, the factors that influence adsorption process, and the characteristics of activated carbon. In addition, it also reviewed the implementation of nanotechnology on activated carbon from biomass to adsorb with methylene blue.]]>
<![CDATA[Study of Rhizosphere Bacteria on the Coast of Mempawah Mangrove as Bioremediation Agents ]]>
<![CDATA[Aini Sulastri]]>;
<![CDATA[Jumiati Jumiati]]>;
<![CDATA[Putranty Widha Nugraheni]]>;
<![CDATA[Leonardus Sandy Ade Putra]]>;
<![CDATA[Eka Kusumawardhani]]>
<![CDATA[ Jurnal Presipitasi : Media Komunikasi dan Pengembangan Teknik Lingkungan Vol 19, No 3 (2022): November 2022 ]]>
Publisher : <![CDATA[Universitas Diponegoro ]]>
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DOI: 10.14710/presipitasi.v19i3.464-476
<![CDATA[The production and accumulation of organic matter in the mangrove ecosystem allow this area to be rich in microbes and potentially develop as a source of various extracellular enzymes. This research aims to create effective microorganisms as bioremediation agents and determine the composition of the types of bacteria found in mangrove areas, sediments, leaf litter, stems, and mangrove plants. Sediment and vegetation were obtained as samples for being diluted and isolated, then spread onto media to get a single pure colony using Zobell 2216 method. The virgin territory formed is distinguished by characterization using macroscopic observations. It was found that the composition of bacteria isolated from the mangrove area contained 59 isolates with various visible characteristics consisting of 20 isolates of sedimentary bacteria, 27 isolates of bacteria on stems, and 12 isolates of bacteria derived from mangrove leaves. Bacterial isolates S08, B27, and D04 have the potential for the bioremediation of Hg metal. Bacterial isolates S58, B35, and D13 have potential for Pb bioremediation, while bacterial isolates S27, B35, and D12 have potential as Fe bioremediation agents.]]>
<![CDATA[Soil Quality Index Mapping Using GIS and Sentinel-2 Image in Jember, East Java ]]>
<![CDATA[Putri Tunjung Sari]]>;
<![CDATA[Indarto Indarto]]>;
<![CDATA[Marga Mandala]]>
<![CDATA[ Jurnal Presipitasi : Media Komunikasi dan Pengembangan Teknik Lingkungan Vol 19, No 3 (2022): November 2022 ]]>
Publisher : <![CDATA[Universitas Diponegoro ]]>
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DOI: 10.14710/presipitasi.v19i3.566-577
<![CDATA[Soil is a solid mineral and organic matter from weathering rocks over the years. The current condition shows many productive lands that are of low quality. Soil quality must be a top priority in land management efforts to support the sustainability of ecology. This study proposes to soil quality index (SQI) assessment of paddy fields in Jember Regency, Indonesia, using the principal component analysis (PCA) method based on spatial data. The research procedure consists of (1) making land units, (2) soil sampling, (3) laboratory analysis, (4) principal component analysis (PCA), (5) assessment of soil quality index (SQI), and (6) Thiessen polygon analysis. The correlation results show the average correlation value < 0.5 (not significant). The soil quality is determined by three main components: total P, silt fraction, and clay fraction. The results of the soil quality analysis showed that 68,888 Ha was in the very low-quality category, and 39,948 Ha was in the low-quality category. Meanwhile, paddy fields included in the medium category are only 3,513 Ha. The addition of organic matter can improve the quality of paddy fields.]]>
<![CDATA[Sensitivity Analysis on Soil and Water Assesment Tool (SWAT) Model at Brantas Watershed, East Java Indonesia ]]>
<![CDATA[Mohamad Wawan Sujarwo]]>;
<![CDATA[Indarto Indarto]]>;
<![CDATA[Marga Mandala]]>
<![CDATA[ Jurnal Presipitasi : Media Komunikasi dan Pengembangan Teknik Lingkungan Vol 19, No 3 (2022): November 2022 ]]>
Publisher : <![CDATA[Universitas Diponegoro ]]>
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DOI: 10.14710/presipitasi.v19i3.498-509
<![CDATA[Brantas Watershed and its tributaries (approximately 14,103 km2) are essential in supplying water for About 30% of the East Java province population. Management of water resources in this watershed has become a challenging issue. The modelling processes' conformity and results to mimic the existing hydrological processes are still in question. This study aims to analyze sensitive parameters of the SWAT (Soil & Water Assessment Tool) model on the significant watershed. The input model is climate and spatial (DEM, soil layer, LULC) data. The observes the hydrological processes monthly and annually from the model result. Next, Sensitivity analysis using the SWAT-CUP tool and SUFI algorithm shows 18 sensitive parameters. The nine (9) parameters have a more than 50% sensitivity level. The four (4) correlated to the soil layer's runoff generation and water movement. Then, eight (8) parameters are related to baseflow calculation. Simulation results illustrate the strong effect of climate change (especially rainfall) on water yield and sedimentation.]]>
<![CDATA[Factors Related to Community Waste Management in Kota Baru Sub District Jambi City in 2022 ]]>
<![CDATA[Willia Novita Eka Rini]]>;
<![CDATA[Fajrina Hidayati]]>;
<![CDATA[Marta Butar Butar]]>;
<![CDATA[Oka Lesmana]]>;
<![CDATA[Diani Lahanavia Rahayu]]>
<![CDATA[ Jurnal Presipitasi : Media Komunikasi dan Pengembangan Teknik Lingkungan Vol 19, No 3 (2022): November 2022 ]]>
Publisher : <![CDATA[Universitas Diponegoro ]]>
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DOI: 10.14710/presipitasi.v19i3.659-668
<![CDATA[Waste that is not managed properly can cause environmental pollution and health problems. This study is to find out what factors are related to waste management in the community to reduce the amount of waste generation in Kota Baru SubDistrict, Jambi City. This study used an analytical survey method with a cross-sectional. The population in this study was 80,062 families with a sample of 106 respondents with a sampling technique using stratified random sampling. The independent variables in this study were knowledge, attitudes, subjective norms and control over behavior, while the dependent variable was waste management. The measuring tools used are observation sheets and questionnaires. Data analysis was carried out univariate and bivariate (using chi-square = 0.05). The results showed that there was no relationship between attitudes (p value = 0.132), subjective norms (p value= 0.138) with waste management and there is a relationship between behavioral control (p value = 0.00), knowledge (p value = 0.00) with waste management. From the results of this study, knowledge and control of behavior greatly affect waste management. It is suggested to increase public knowledge by providing information in the form of posters and so on as well as increasing waste management facilities.]]>
<![CDATA[Affecting Factors of Generation and Weight Domestic Waste in Tanjung Karang Village Mataram City ]]>
<![CDATA[Astrini Widiyanti]]>;
<![CDATA[Taufikul Hadi]]>;
<![CDATA[Moh. Irvan]]>
<![CDATA[ Jurnal Presipitasi : Media Komunikasi dan Pengembangan Teknik Lingkungan Vol 19, No 3 (2022): November 2022 ]]>
Publisher : <![CDATA[Universitas Diponegoro ]]>
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DOI: 10.14710/presipitasi.v19i3.607-625
<![CDATA[Tanjung Karang Village is a priority tourism destination. Strategic tourist destinations need to maintain environmental cleanliness to achieve sustainable waste management to create comfort and satisfaction for visitors. The purpose of this study is to analyze the generation, weight, composition of waste, and influencing factors. The method in this study is a field survey to measure the generation and weight of waste with 13 households sample for 8 days. Data analysis has analyzed the Kolmogorov Smirnov Normality Test and the Dummy Variable Multiple Regression Test. The waste generation in Tanjung Karang Village is 3 liters/person/day and the weight of waste is 0.5 kg/person/day. The composition of the most waste is 56% organic waste. 28% plastic. and the others are metal, B3 waste, paper, glass, and so on. The most widely used plastic waste is food packaging plastic, High Density (HD), and High Density Polyethylene (HDPE). Influencing factors the generation and weight of waste are type of house, number of occupants, land area, occupation, and income. The recommendation for waste management in Tanjung Karang Village is that 56% of organic waste can be processed by composting, ecoenzyme, and biopore holes. Plastic waste 18% can be reduced by using plastic converted into containers.]]>
