International Journal of Advances in Applied Sciences
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Performance fuzzy analytical hierarchy process to identify drought areas for disaster mitigation
Get PDFDrought causes crop failure in the agricultural sector and a limited supply of clean water. Land damage due to drought in Lamongan has reached ±12,000 ha in the last decade. The lack of information regarding drought disaster mitigation resulted in quite large losses in several agricultural sectors. The purpose of this study is to develop a decision support system (DSS) that can provide information regarding the identification of drought-prone areas. The fuzzy analytical hierarchy process (FAHP) method is implemented with four criteria: rainfall intensity, slope, soil type, and distance to the river. FAHP is good for processing the weighting of several criteria and categories to produce good choices. Results, the tests carried out there were 20 sub-districts prone to drought, with an accuracy rate of the FAHP method of 85%. The average value of respondent satisfaction averaged 97.2%. DSS application can provide the status of areas prone to drought. For future studies, the temperature and evapotranspiration parameters can be added, to provide better results
Data mining applied about state madrasah using sentiment analysis on Twitter in Indonesian perception
Get PDFIndonesian people prefer private schools with high prices, which is one of the exciting things to study. In fact, in the modern era, public schools have competed with private schools with international categories. The problem in public schools is the parent's perspective on the quality of education in public schools, especially public madrasahs. In addition, cases such as bullying and violence between schools. People on Twitter also have various perceptions of public madrasas, which are considered to have religiosity. This research uses the keywords public madrasah, quality management, and quality taken from Twitter using the Orange application. The amount of data in this research is 300 tweets from Twitter. As a result, there are both negative and positive sentiments toward public madrasas. However, the negative sentiment is higher than the positive sentiment. This means parents have more trust in private schools than in public madrasahs
Generation 4.0 of the programmer selection decision support system: MCDM-AHP and ELECTRE-elimination recommendations
Get PDFThe industrial world in the era of generation 4.0 needs personnel related to human resources who can handle crucial problems, especially in terms of data digitalization. The purpose of this paper is to analyze the supporting criteria that can be used as a measure of programmer selection for the needs of the industrial world which can provide optimal decisions and pay attention to the use of multi-criteria that have different quantitative assessments such as criteria related to contradictory times in its application. The problem, in the industrial world, does not only require speed alone but requires professional staff who can transform into digital technology, digitalization technology is needed in terms of the data conversion and transferring process, so a programmer has an important role in changing favorable conditions because it requires a selection process to get the best professional from several programmers. The method that can be used in multi-criteria decision-making-analytic hierarchy process (MCDM-AHP) and elimination et choix traduisant la realite (ELECTRE) methods in the concept of elimination. This method is part of the MCDM, which uses eight criteria in the selection and evaluation process. The results obtained from several selected programmers produce several professionally selected people, and can be used as an optimal benchmark for the programmer selection and evaluation process with a long preference index stage through the elimination process, this provides evidence that the selection and evaluation process can determine decision making which is optimal for a select number of programmers that only a few have through the aggregate dominant matrices
ANSYS investigation of solar photovoltaic temperature distribution for improved efficiency
Get PDFA computational analysis of the influence of varying solar module material properties on operating temperature is presented and related to electrical conversion efficiency through the devised method. By varying the properties of density, specific heat capacity, and isotropic thermal conductivity for each material that comprises a solar module, density, and specific heat capacity were found to have the greatest influence on decreasing the operating temperature when increased by a factor of 50% for the glass layer, resulting in a decrease in temperature of 5.33 °C. Utilizing the devised method, which is based on the work of Palumbo, this temperature decrease was correlated to an electrical efficiency increase of 3.08%
Identification of mangrove tree species using deep learning method
Get PDFArtificial intelligence can help classify plants to make identification easier for everyone. This technology can be used to classify mangrove trees. The degradation of mangrove forests has resulted in a 20% loss of biodiversity, an 80% loss of microbial decomposers, reduced C-organic soil, and fish spawning grounds, resulting in estimated losses in the ecological and economic fields for up to IDR 39 billion. The identification of different mangrove species is the first step in ensuring the preservation of these forests. Therefore, this research aimed to develop algorithms and a convolutional neural network (CNN) architecture to classify mangrove tree species with the highest possible accuracy using Python software. The architecture selection for this model includes a batch size of 32, an input image size of 128x128 pixels, four classes, four convolution layers, four rectified linear unit (ReLU) layers, 2x2 max-pooling, and two fully connected layers (FCL). The finding showed that the resulting accuracy from the test was 97.50%, while the validation test was 81.25%, applied to four types of mangrove leaves, including Avicenia marina, Avicenia officialis, Rizophora apiculata, and Soneratia caseolaris
Antioxidant activity and inhibition of α-glucosidase from extract and fraction of leaves and stems of Vernonia amygdalina
Get PDFPrevious studies have shown that bitter leaf (Vernonia amygdalina Del.) has the ability as an antioxidant and an α-glucosidase inhibitor. Still, the difference in antioxidant activity and α-glucosidase inhibition based on the leaves and stems parts have not yet been determined. The effect of flavonoid-enriched extract on antioxidant activity and inhibition of α-glucosidase has not yet been determined. This research aimed to assess the impact of flavonoid-enriched extract from the leaves and stems part of the bitter leaf. The leaves and stems part of the bitter leaf were extracted using Soxhlet apparatus with 80% methanol and then underwent successive fractionation with petroleum ether, chloroform, and ethyl acetate. The crude extract and the fraction were concentrated and followed by the determination of total flavonoid, total phenolic, antioxidant activity, α-glucosidase inhibition activity, and calculated the IC50 of α-glucosidase inhibition. This research showed that chloroform-ethyl acetate leaf fraction was the best fraction with the higher total flavonoid (24.091±0.972 mg QE/g DW), total phenolic (84.299±4.589 mg GAE/g DW), diphenylpicrylhydrazyl (DPPH) antioxidant activity (33.881 μM TE/g DW), ferric reducing antioxidant power (FRAP) antioxidant activity (312.022±1.745 μM TE/g DW) and α-glucosidase inhibition activity with an IC50 value 1.23 mg/mL
Drying kinetics of modification cassava-seaweed noodles using an oven
Get PDFConsumption of noodles in the world is always increasing. Noodles made from wheat flour are unhealthy because they cause diabetes, so alternative noodles are needed, such as modified cassava flour and seaweed. Modification cassava is used because it does not contain gluten and seaweed has nutritional value to make healthy, low-calorie noodles. The purpose of this study was to determine the temperature and time of the drying parameters of seaweed noodles. The drying method uses an oven with variable temperature (60, 70, 80, and 90 ) and drying time (2, 4, 6, 8, and 10 hours). The results of the study obtained optimal water content at 60 with 6 hours of 11.75%. The drying kinetics evaluated by logarithmic equation, optimal drying constant value at 80 of 0.67 h-1 with R2 0.9391. Effective moisture diffusivity (Deff) maximum evaluated by second Fick law obtained 9.35×107 m2/sec at temperature 90 with R2=0.9227. The proximate value of ash content is 12.11%, protein is 9.46%, lipid is 0.10%, and carbohydrates is 65.08%
Nano-bioremediation of heavy metals from environment using a green synthesis approach
Get PDFThe quality of human life is compromised due to the increased concentration of toxic heavy metals in air, water, and soil which is directly interacted with living life. Exceed levels of Cr, Cd, Cu, As, Zn, Pb, and Hg influence the living chain and not only causes human damage but also greatly effects animals, plants, and microorganisms. The consistent increase in drawbacks of traditional methods makes them a poor choice for the remediation of heavy metals. In comparison to that, the use of advanced technology at nano levels gives promising results. Many nanomaterials such as carbon nanotubes, nanofibers, nanoflowers, and nanoadsorbents of different metals such as copper, titanium, zinc, gold, silver, iron, cerium, and manganese use along with different biological materials increase the nano-bioremediation rate in the field of science and pose industrial and environmental applications. Being a cost-effective, eco-friendly, controllable nature of nano-bioremediation technology, they lack background knowledge, and handling at the commercial level. This review highlights different types of nanomaterials, how they are implemented in different application, their green synthesis approach, and the boon and bane of using nano-bioremediation technology in real-time
Mitigation of PQ issues in EV charging station connected distribution system using novel RSMLI-based shunt APF
Get PDFIn the present scenario, the significant use of electric vehicles (EVs) is growing rapidly in the automotive industry due to cheaper transportation, no fossil fuel required, low maintenance, no fuel cost, and low impacts on the environment over the formal internal combustion engine (ICE) vehicles. In actuality, these EVs are powered by batteries that are charged by a utility-grid-based charging facility. A power-electronic conversion-based charging device is used in this charging station to charge the battery packs in the EV system. The problem statement of this work is identified, these conversion devices in charging units proliferate the power quality of the utility grid. To overcome these problems, a classical square-wave inverter-based active power filter (APF) is employed. The major problems in classical inverters are high common-mode voltage, more harmonic profile, high dV/dt stress, high switching stress, and low efficiency. The contribution of this work is proposing the multilevel inverter (MLI) based APF for better compensation over classical inverters. In this approach, a novel reduced-switch MLI-based APF has been proposed for the mitigation of harmonic currents and also enhances the power factor in utility-grid-connected distribution systems. The effectiveness of the proposed reduced-switch multilevel inverter (RSMLI)-APF is validated by integrating the number of charging units with the MATLAB/Simulink tool, and simulation outcomes are shown along with comparisons
Six tree species physiological responses to air pollution in Pulogadung Industrial Estate, East Jakarta, Indonesia and Universitas Indonesia Campus, Depok, Indonesia
Get PDFAir pollution is a global issue that has a harmful impact on living things and the environment. It is commonly recognized that bioremediation, including the use of tree plants, helps reduce air pollution. Tree plants can respond physically to air pollution. The value of the air pollution tolerance index (APTI) can be used to determine the physiological response. Based on APTI values, this study seeks to determine the tolerance levels and physiological response differences of six tree plant species (Mangifera indica, Pterocarpus indicus, Cerbera odollam, Pometia pinnata, Syzygium myrtifolium, and Swietenia macrophylla) in Pulogadung Industrial Estate, East Jakarta and Universitas Indonesia (UI) Campus, Depok. Environmental factors and APTI values with relative water content parameters, leaf extract pH, ascorbic acid content, and total chlorophyll content were measured in six kinds of tree plants at both research sites. The maximum APTI score in the Pulogadung Industrial Estate was 9.79 0.13, indicating that Mangifera indica plants are air pollution tolerant. Meanwhile, Pterocarpus indicus is classified as sensitive to air pollution, with the lowest APTI score of 6.59 0.18 at the UI Campus, Depok. The APTI test results revealed that tolerant species had high relative water content (RWC) values and ascorbic acid concentration, whereas sensitive species had low RWC values and poor total chlorophyll content