There are so many areas in Indonesia that are prone to landslides. Bogor is the regency with the most frequent landslides. Therefore, high community preparedness is needed to deal with the landslide, especially at the...
There are so many areas in Indonesia that are prone to landslides. Bogor is the regency with the most frequent landslides. Therefore, high community preparedness is needed to deal with the landslide, especially at the household level because it is the spearhead of preparedness and influence disaster risk. The objective of this research is to measure and analyze the level of household preparedness for facing landslide. The location of this research is in Cibadak Village, Bogor regency where a landslide disaster had happened. This is a quantitative research. The number of the samples were 100 household. Data collection was done by surveying samples and distributing questionnaires. The data would be analyzed with descriptive analysis, and the results of level of household preparedness would be categorized to five levels which were very prepared (80-100), prepared (65-79), almost prepared (55-64), less prepared (40-54), and not prepared (0-39). The results of the research are the average index value of Knowledge and Attitude (KA) parameter is 66.77, Emergency Planning (EP) parameter is 52.24, Warning System (WS) parameter is 64.80, Resources Mobilization Capacity (RMC) parameter is 51.25 and the level of household preparedness for facing landslide is 59.26 or and it is significant at the almost prepared level.
A successful geothermal field size assessment requires integrative data analysis of all aspects to determine the optimum capacity to be installed. Nowadays, numerical simulation becomes a powerful tool in a geothermal...
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Remote sensing techniques provide valuable insights into lithological interpretation and improve the accuracy of geological surveys. Due to the complex terrain of Langkawi Island, which is in the northwestern part of ...
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Remote sensing techniques provide valuable insights into lithological interpretation and improve the accuracy of geological surveys. Due to the complex terrain of Langkawi Island, which is in the northwestern part of the Malay Peninsula, conducting detailed field investigations is challenging. However, advancements in technology have made remote sensing an effective method for surveying areas that are hard to access. In this study, Landsat 9 data, with a spatial resolution of 30 m, served as the primary source of information. The initial preprocessing of this data was done using ENVI software. After preprocessing, carefully selected band combinations and ratios were used to extract valuable geological insights. Remote sensing-based lithological interpretation is crucial in modern geological surveys. In this study, the band ratio technique was employed to map the lithological distribution. This study focused on the southern end of the Langkawi archipelago, specifically the Dayang Bunting and Tuba Islands, where the geological characteristics are of particular interest due to their unique geological history and topography. To achieve the objectives, the band ratio technique applied to satellite imagery allows for the derivation and analysis of the lithological distribution patterns on these islands. This study compared previously used band ratio combinations with those tested here to find the most effective for distinguishing lithology types. After testing 32 permutations, by comparing with the original geological map and combining previous field observations, the four most successful combinations were visually evaluated: RGB 2/3 2/5 2/6, 4/3 4/6 4/7, 2/4 2/6 2/7, and 5/2 5/6 5/7. On Dayang Bunting and Tuba Islands, these combinations revealed distinct colors, differentiating limestone, marble, and granite. This study enhances the understanding of lithological composition in Dayang Bunting and Tuba Islands and demonstrates the effectiveness of band ratio techniques fo
The rapid development of technology, information, and communication requires students to master digital literacy. In addition, the rapid development of technology also affects environmental conditions, so it is necess...
The rapid development of technology, information, and communication requires students to master digital literacy. In addition, the rapid development of technology also affects environmental conditions, so it is necessary to master environmental literacy to understand and interpret environmental conditions, as well as build students’ awareness of environmental issues. This study aims to determine the correlation between digital literacy and student environmental literacy. The population in this research includes 11th-grade students of SMAN 1 Batu. The research sample amounted to 102 students, and the sampling technique used was purposive random sampling. Data were collected through digital literacy questionnaires, environmental literacy questionnaires, and environmental literacy tests. The data were tested for normality and homogeneity prerequisites and then analyzed using the Pearson Correlation statistical test. The results obtained show that the average digital literacy score of students is 105.1, including the high category, and the average student environmental literacy score is 279.7, included in the medium category. The high level of digital literacy will make students more critical in accessing technology and digital media. Digital literacy includes the process of finding, using multiple sources, evaluating, and using information to produce original products, with the maximum application of digital literacy, which is expected to support students’ environmental literacy in providing knowledge, understanding, and building an attitude of caring for the environment. The data obtained shows that there is a positive relationship between digital literacy and environmental literacy.
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.
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.
High rise buildings should be made as sufficient seismic performance, so it won't immediately collapse when an earthquake occurs. Therefore, lateral strengthened stories are required in high rise buildings to enha...
High rise buildings should be made as sufficient seismic performance, so it won't immediately collapse when an earthquake occurs. Therefore, lateral strengthened stories are required in high rise buildings to enhance the lateral rigidity of structure. The use of lateral strengthening has a great effect on the entire seismic performance. A 20-stories high rise steel structure building was evaluated on this research comparing the structures' inelastic behaviour using two seismic force-resisting system, i.e., special moment frame and eccentrically braced frame. The analysis of inelastic behaviour in this research using static non-linear analysis, i.e., pushover analysis. By using pushover analysis, the inelastic behaviour of structures, including story drift, shear story, displacement, plastic joint formation, and ductility, were obtained. In the elastic condition, the shear story of the eccentrically braced frame system is smaller than the special moment frame system. While in plastic condition, the shear story of the eccentrically braced frame system is larger than the special moment frame system. The story drift and the displacement of the special moment frame system are indicated to be larger than the eccentrically braced frame system. These results show that the eccentrically braced frame system has better rigidity than the special moment frame system.
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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