Bioplastics are an alternative to conventional plastics that have been used in society. The advantage of bioplastics is that they are easily degraded in nature because they come from easily renewable materials such as...
Bioplastics are an alternative to conventional plastics that have been used in society. The advantage of bioplastics is that they are easily degraded in nature because they come from easily renewable materials such as starch which comes from plants. However, biodegradable plastics have shortcomings in terms of tensile strength so that additional supporting materials are needed in their manufacture. Optimization using the Response Surface Methodology (RSM) central composite design (CCD) in this study aims to obtain optimal mechanical properties (tensile strength). The independent variables used in this study include ZnO concentrations (3%, 6%, and 9%) and glycerol concentrations (2 ml, 5 ml, and 8 ml) as well as mechanical properties such as tensile strength and elongation in response. The optimum conditions were obtained at a concentration of ZnO 6.99% and glycerol 5.32 ml with a tensile strength value of 1.58456 MPa and 9.082201% elongation.
Periodic forest monitoring needs to be done to avoid forest degradation. In general, forest monitoring can be conducted manually (field surveys) or using technological innovations such as remote sensing data derived f...
Periodic forest monitoring needs to be done to avoid forest degradation. In general, forest monitoring can be conducted manually (field surveys) or using technological innovations such as remote sensing data derived from aerial images (drone results) or cloud computing-based image processing. Currently, remote sensing technology provides large-scale forest monitoring using multispectral sensors and various vegetation index processing algorithms. This study aimed to evaluate the use of the Google Earth Engine (GEE) platform, a geospatial dataset platform, in the Vale Indonesia mining concession area to improve accountable forest monitoring. This platform integrates a set of programming methods with a publicly accessible time-series database of satellite imaging services. The method used is NDVI processing on Landsat multispectral images in time series format, which allows for the description of changes in forest density levels over time. The results of this NDVI study conducted on the GEE platform have the potential to be used as a tool and additional supporting data for monitoring forest conditions and improvement in mining regions.
The problem faced by many hospitals in Indonesia is the low efficiency of Waste Water Treatment Plant (WWTP) hospitals. If it does not get the attention, it will have an impact on health and environmental pollution. V...
The problem faced by many hospitals in Indonesia is the low efficiency of Waste Water Treatment Plant (WWTP) hospitals. If it does not get the attention, it will have an impact on health and environmental pollution. Various technologies have been used but experienced many obstacles. Constructed wetlands based on aquatic plants that have been used in developed countries are very prospects of being developed in regions such as Indonesia with a tropical climate. A preliminary study is needed with the first step to investigate the quality of hospital wastewater in Palu City, Indonesia, as a sample. This study aims to obtain a description of hospital wastewater characteristics and to evaluate the performance of the hospital WWTP in Palu. Data collection was done by taking data indirectly through laboratory test results during 2015-2019. Tabulating data using Excel software to illustrate statistics, then presented in the form of bar charts, interpreting according to the quality standards. Investigation results showed that the characteristics of hospital inlet wastewater in Palu are parameter values varying with four high concentration parameters: total coliform, TSS, Ammonia Nitrogen, and COD. The efficiency level of WWTP hospitals in Palu is relatively low in removing pollutants.
Counterfeiting of quality rice was rife in Indonesia. This research was conducted to develop technology to identify differences in premium and non-premium rice quality based on pre-existing digital images. Artificial ...
Counterfeiting of quality rice was rife in Indonesia. This research was conducted to develop technology to identify differences in premium and non-premium rice quality based on pre-existing digital images. Artificial neural networks and digital image processing methods to identify premium and medium (non-premium) rice quality were applied in this research. Statistical analysis of this study used the SPSS program. This research is observation-type research. This research design uses an artificial neural network with uses 3 layers, namely the results of shape feature extraction on the metric, eccentricity, area, and perimeter parameters as input or input layers, hidden or hidden layers, and premium rice and non-premium (medium) rice as output or output layers. This research uses 52 images as training and 20 images as testing. The obtained image was taken at a distance of 25 cm. This research showed that the results of training using artificial neural networks (ANN) on 52 images obtained an accuracy of 92%. The test results using 20 images obtained 95% accuracy, 63.33% sensitivity, and 10% specificity. Based on statistical analysis using the Mann-Whitney test, it obtained the asymph value. Sig (2-tailed) < 0.05 indicates the difference between premium and non-premium rice using metric, eccentricity, perimeter, and area parameters.
Breadfruit is one alternative carbohydrate source in Indonesia. However, breadfruit is seasonal and climacteric crops;it should be processed immediately to produce flour. Native breadfruit flour has many limitations s...
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Adaptation to the concept of sustainability is a problem in developing countries, especially in terms of the level of knowledge, economic capability, environmental conditions, and regional policies. These four aspects...
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A low number in green building development cause the building construction will have an immense direct and indirect impact on future generations. This paper identified the optimum incentive model driving the building ...
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Dengue hemorrhagic fever (DHF) has become an endemic in major cities in Indonesia. The climate change and poor level of awareness and knowledge of the community in Indonesia have caused an increase in the DHF cases. O...
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Based on waste generation projection in 2040, the total waste generation in Gianyar Regency was approximately about 1,208.88 m3/day from a total occupant of 593,436 inhabitants in Gianyar Regency. The existing support...
Based on waste generation projection in 2040, the total waste generation in Gianyar Regency was approximately about 1,208.88 m3/day from a total occupant of 593,436 inhabitants in Gianyar Regency. The existing supporting capacity of Temesi Final Disposal (Temesi Landfill) was 51,500 m3; meanwhile, the total waste generation in Gianyar Regency in 2020 is up to 146,356 m3 consequently Temesi Landfill was overloaded by untreated solid waste since 2020. To reduce waste generation and decrease the treatment burden in Temesi Landfill, solid waste management using 3R methods from household clusters needs to be applied. Using 3R concept, eventually, the waste generation that is disposed into Temesi Landfill can be reduced significantly by 63%, from 1,208.88 m3/day into 446 m3/day with a total weight of 148 tonne/day in 2040. Within the 3R waste management from households, the land requirement could be reduced to only 1.08 Ha in 2020 and 14.35 Ha in 2040 from previously about 3 Ha and 39 Ha. Within the forecast results, it is concluded that the upstream 3R scenario has a significant impact on reducing waste generation; thus, it will also lead to fewer landfill area demands.
The research purposed to analyze the characteristics of chemistry module on acid-base and electrochemistry topic based on vehicle context, to analyze the feasibility of module according to chemistry learning experts a...
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