EKSAKTA - Berkala Ilmiah Bidang MIPA (E-Journal)
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    312 research outputs found

    The Influence of Health Education on Adolescents Knowledge of Reproductive Health in the Working Area of the UPTD Munjul Health Center

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    This study aims to identify adolescents' knowledge about reproductive health before and after health education is carried out in the working area of the UPTD Puskesmas Munjul Majalengka Regency in 2022. This type of research is a quantitative study with one group pre-test and post-test design. The population is 2467 people and the sample in this study is adolescents in the working area of the UPTD Munjul Health Center, Majalengka Regency, as many as 100 people in 2022. Data collection used a questionnaire. The data analysis technique used is the Wilcoxon test. The results showed that the average knowledge of adolescents about reproductive health before being given health education was 60.29% and after being given health education was 80.71%. The results of the hypothesis test with an alpha error rate of 0.05 obtained a value of p <0.05 meaning that there is an effect of health education on adolescent reproductive health knowledge in the working area of the UPTD Munjul Health Center, Majalengka Regency in 2022. It is hoped that health workers can improve health promotion programs such as counseling to adolescents in particular about the importance of reproductive health in order to optimize better adolescent health services

    Design of a Sky Camera-Based Cloud Monitoring Camera at the Agam Space and Atmospheric Observation Station, Bukit Kototabang

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    Indonesia is a center of convection and acts as a driving force for global atmospheric circulation due to its geographical position. Moreover, Kototabang Hill is one of the national strategic areas in the equatorial atmospheric observation room with limited cloud cover data so that tools and development are needed to meet these data needs. Sky Camera for the purpose of observing clouds (Cloud Camera) is urgently needed to complement the need for cloud cover data to support observation and research activities in the field of the atmosphere. The Cloud Camera design is done by modifying the CCD Camera with several supporting devices including fish eye, solar tracker, sun filter and dome. Evaluation of the urgency of these enhancements is discussed in this paper. Among the four combinations of using supporting instruments (dome and sun filter) for the Cloud Camera device, the best image obtained is the device that uses a sun filter and without a dome. Among the four combinations of using supporting instruments (dome and sun filter) for the Cloud Camera device, the best image obtained is the device that uses a sun filter and without a dome

    Exploring Cosmological Dynamics: From FLRW Universe to Cosmic Microwave Background Fluctuations

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    This study explores key aspects of cosmology, starting with the foundational FLRW equations that describe the universe's evolution, emphasizing its homogeneity and isotropy. We incorporate mass viscosity into these equations, shedding light on its role in shaping the universe. Observations of Type Ia supernovae inform our understanding of cosmological parameters, including the Hubble rate and dark energy's effects on cosmic expansion. Cosmic Microwave Background fluctuations are analyzed for insights into cosmic structure. Baryon Acoustic Oscillations provide additional data for estimating critical parameters. We also examine the Hubble Parameter to understand its relation to cosmological parameters. Lastly, we introduce statefinder analysis, unveiling the universe's behavior through key indicators like "r" and "s." This study offers comprehensive insights into cosmology and the universe's evolution

    Third-Generation cephalosporins (3GC) and Fluoroquinolones (FQ) Co-Resistance in Extended-Spectrum Beta-Lactamase-Producing Escherichia coli (ESBL-Ec) from Clinical and Community Isolates

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    The growing AMR issue affects the current antimicrobial therapy recommendations, particularly for broad-spectrum antibiotics, like third-generation cephalosporins (3GC) and fluoroquinolones (FQ). Actually, the inappropriate use of both antibiotics in clinical and community settings increase the resistance of extended-spectrum beta-lactamase-producing Escherichia coli (ESBL-Ec). Although ESBL-Ec is used as a surveillance indicator of bacterial resistance, but currently studies related to 3GC-FQ co-resistance among clinical and community (including human and wastewater samples) based ESBL-Ec isolation, have not been widely carried out. The objective of this study was to analyze the possibility and mechanism of 3GC-FQ co-resistance among ESBL-Ec, in human clinical and communal isolates from previous published research. Out of 257 articles screened, four studies in accordance with our study are included in the analysis. The result indicated that ESBL-Ec derived from all sample sources had 3GC-FQ co-resistance. According to two studies reviewed, blaCTX-M was the most predominant ESBL gene, while the FQ-associated resistant gene dominated by qnr family genes. Resistant genes and co-resistant ESBL-Ec can be spread rapidly through plasmids

    In Silico Study Potential Secondary Metabolite Candidate of Citronella Grass (Cymbopogon nardus) on Immunity Cases

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    Foreign invaders in the form of bacteria, fungi, or viruses can cause various diseases if they enter the body, both molecularly and cellularly. Hence, the body needs a compound that can maintain and enhance the immune and immune systems to recognize abnormal cells that can become a source of disease for the body. Improving immunity/resistance for people with diseases is very important so that people undergoing treatment are given immunostimulant drugs or pharmaceutical preparations. This study aimed to determine the protein network associated with the body's immune system, which was activated by the administration of citronella (Cymbopogon nardus). The research method used is explorative descriptive with in silico analysis using a computational model with software including KNApSAck, Dr. Duke, Pubchem, Swiss ADME, Swiss Target Prediction, Gene Cards, Venny, STRING, and KEGG. Based on the results of pharmacological network analysis, C. nardus contains 40 secondary metabolites, 25 of them have high bioavailability. Based on pharmacological network analysis, (-)-menthol is an important compound that plays a role in the immune system because it is expected to interact with three crucial pathways related to immunomodulators

    Antibacterial Test of Ziziphus spina-christi (L.) Desf. Leaves Extract Againstgram-Positive Bacteria

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    Ziziphus spina-christi (L.) Desf. is a member of the Rhamnaceae family, which has efficacy values as herbal plants used in traditional medicines. The spread of infectious diseases in humans has increased in recent years, raising public awareness of the importance of using traditional medicine as the first line of prevention against infectious diseases. This research aimed to determine the antibacterial activity of fresh extract, infusion, and ethanol extract and to determine the greatest inhibition zone of Z. spina-christi leaves against Gram-positive bacteria (B. cereus, B. subtilis, S. aureus, and S. epidermidis). This research used the survey method with a purposive sampling technique. The results showed that fresh extract, infusion, and ethanol extract of the Z. spina-christi leaves had antibacterial activity against Gram-positive bacteria (B. cereus, B. subtilis, S. aureus, and S. epidermidis) and the greatest inhibition zone was obtained from the ethanol extract with a strong inhibition category

    Nutraceutical Product Ice Cream from Dry Flower (Echinacea purpurea Lour) As an Immunomodulator in Pandemic Era: Ekino Ice

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    Echinacea purpurea is a flower that is rich in its main antioxidant content comes from flavonoids, phenols, and cystic acids can be utilized as an immunomodulator during the Covid-19 pandemic. Ekinase flowers are processed into new innovations in nutraceutical products with the Ekino Ice product label. Goal to innovate nutraceutical products made from dry flower Echinacea purpurea as immunomodulators in the era of the Covid-19 pandemic. This research uses laboratory experimental methods with a qualitative approach. Microscopic test results are known that the sample has a plant characteristic of Echinacea purpurea. KLT test results using UV 366 light is positive flavonoid blue color Rf 0.5 nm with ammonia stain appearance, positive phenol stain blue-black color Rf 0.75 nm with FeCl3 stain appearance, positive cystic acid stain blue color Rf 0.75 nm. Brown organoleptic test results, characteristic smell of Echinacea purpurea, and taste sweet. pH test result 6.42 and melting time test result 16.22 minutes. Ekino Ice has the potential to be a new innovation nutraceutical product as immunomodulators in the era of the Covid-19 pandemic

    Biosorption of Methylene Orange Dye using Langsat Shell by Batch Method

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    Liquid waste is a major problem in the textile industry environment that has the most widespread influence because physical and aquatic characteristics can have a negative impact on waters. Most of the liquid waste produced by batik comes from the dyeing process and environmental pollution. If it is disposed of directly into the environment without prior processing, the environment has a limited ability to degrade dyestuffs. One alternative method to remove the dye in water contaminated with methyl orange is biosorption using a cheap and easily available biosorbent, such as a langsat shell. This study used a batch method with variations in pH, solution concentration, particle size, stirring speed, and contact time. The results of each variation carried out obtained the optimum conditions for the absorption of Methyl Orange, namely at: pH 4, concentration 150 mg/L, and particle size 150 μm. The adsorption isotherm study was carried out, the Langmuir equation yielded a regression coefficient value that was close to one (R2 = 0.9964) so that it could be said to be better with a maximum absorption capacity of 3.1164 mg/

    Investigation Activities of Vitamin D, Interleukin-17A, and Alkaline Phosphatase as Biological Markers in Asthma

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    Inflammation in asthma occurs due to the activation of various cells that produce proinflammatory cytokines. Corticosteroid treatment can affect bone formation, impacting vitamin D levels and alkaline phosphatase (ALP) enzyme activity. This study aimed to evaluate the decrease in vitamin D and increase in ALP due to inflammatory events characterized by an increase in interleukin-17A (IL-17A). The research design is a case-control design. Thirty-four adults with asthma and 34 healthy controls were monitored for blood through laboratory testing. Comparative and correlation statistics were analyzed using Medcalc ver. 19.0.7. All three laboratory parameters showed significant differences between the asthmatic and control groups (P < 0.05). Each vitamin D and ALP gave a good correlated wellults of the IL-17A examination (r = -0.2950; P = 0.015 and r = 0.2590; P = 0.033). There is no significant correlation between Vitamin D and ALP (r = -0.0483; P = 0.696). Moreover, ALP showed a low sensitivity (32%) in identifying vitamin D deficiency in asthmatic patients

    Application of Threshold Generalized Autoregressive Conditional Heteroscedastic (TGARCH) Model in Forecasting the LQ45 Stock Price Return

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    Economics is one of the most important fields for a country. One of the activities that illustrate the importance of the economy in a country is an investment. Investment activities, especially stock investment, are included in the capital market activities that various age groups currently carry out. Stocks are generally known to have high-risk, high-return characteristics. Therefore we need a way to minimize losses in investing. This study uses time series analysis theory to analyze LQ45 stock data.The data used is the closing price of PT. Bank Central Asia, Tbk. obtained from finance.Yahoo.com. The results of this study indicate that the return of daily closing price data of PT. Bank Central Asia, Tbk. during the period 2017-2021, there are heteroscedasticity and asymmetric shocks, so variations of the ARCH/GARCH model are needed to obtain accurate forecasting results. One suitable model is Threshold GARCH (TGARCH). The results of this study indicate that the suitable forecasting model for the data is the MA(3)-TGARCH(1,1) model. The model produces forecasts with an accuracy rate based on MAPE of 0.895% for the next seven day

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