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INDONESIA
Journal of Applied Science, Engineering, Technology, and Education
Published by PT. Mattawang Mediatama Solution
ISSN : -     EISSN : 26850591     DOI : https://doi.org/10.35877/454RI.asci1116
Core Subject : Science, Education, Engineering,
Civil Engineering, Building, Construction & Architecture Computer Science & IT Electrical & Electronics Engineering Industrial & Manufacturing Engineering Other
Journal of Applied Science, Engineering, Technology, and Education (ASCI) is an international wide scope, peer-reviewed open access journal for the publication of original papers concerned with diverse aspects of science application, technology and engineering.
Arjuna Subject : Umum - Umum
Articles 32 Documents
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Search results for , issue "Vol. 3 No. 1 (2021)" : 32 Documents clear
Forging An Optimized Bayesian Network Model With Selected Parameters For Detection of The Coronavirus In Delta State of Nigeria Ojugo, Arnold; Otakore, Oghenevwede Debby
Journal of Applied Science, Engineering, Technology, and Education Vol. 3 No. 1 (2021)
Publisher : Yayasan Ahmar Cendekia Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (495.914 KB) | DOI: 10.35877/454RI.asci2163

Abstract

Machine learning algorithm have become veritable tools for effective decision support towards the construction of systems that assist experts (individuals) in their field of exploits and endeavor with regards to problematic tasks.. They are best suited for tasks where data is explored and exploited; and cases where the dataset contains noise, partial truth, ambiguities and in cases where there is shortage of datasets. For this study, we employ the Bayesian network to construct a model trained towards a target system that can help predict best parameters used for classification of the novel coronavirus (covid-19). Data was collected from Federal Medical Center Epidemiology laboratory (a centralized databank for all cases of the covid-19 in Delta State). Data was split into training and investigation (test) dataset for the target system. Results show high predictive capability.
Forging An Optimized Bayesian Network Model With Selected Parameters For Detection of The Coronavirus In Delta State of Nigeria Ojugo, Arnold; Otakore, Oghenevwede Debby
Journal of Applied Science, Engineering, Technology, and Education Vol. 3 No. 1 (2021)
Publisher : Yayasan Ahmar Cendekia Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (495.914 KB) | DOI: 10.35877/454RI.asci2163

Abstract

Machine learning algorithm have become veritable tools for effective decision support towards the construction of systems that assist experts (individuals) in their field of exploits and endeavor with regards to problematic tasks.. They are best suited for tasks where data is explored and exploited; and cases where the dataset contains noise, partial truth, ambiguities and in cases where there is shortage of datasets. For this study, we employ the Bayesian network to construct a model trained towards a target system that can help predict best parameters used for classification of the novel coronavirus (covid-19). Data was collected from Federal Medical Center Epidemiology laboratory (a centralized databank for all cases of the covid-19 in Delta State). Data was split into training and investigation (test) dataset for the target system. Results show high predictive capability.
Comparison Between Blood Haematology of Egyptian Freshwater Food Fish and Ornamental Fish Mohamed Abdelhamid, Abdelhamid; Refaey, Mohamed Moaaz; Mohammed El-Sayed, Hazem Ga'far; Ahmed Mo'aty, Gehad
Journal of Applied Science, Engineering, Technology, and Education Vol. 3 No. 1 (2021)
Publisher : Yayasan Ahmar Cendekia Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (505.393 KB) | DOI: 10.35877/454RI.asci31116

Abstract

The present study was carried out to compare between some freshwater food fish species and some other freshwater ornamental fish species commonly known in Egypt, concerning the haematological parameters, dressing percent, fillet (boneless meat) percentage, and chemical composition of the fish flesh on dry matter basis. Four food fish species (Nile tilapia, grass carp, catfish, and Tobara from Manzalah Fish Farm, Dakahlia governorate, General Authority For Developing Fish Wealth, Ministry of Agriculture, Cairo, Egypt) and two ornamental fish (Koi and Fan-tail (Goldfish), from local ornamental fish trade shops, Mansoura, Dakahlia governorate, Egypt) species all belonging to the freshwater fishes were sampled, three fishes from each. Body measurements of the individual fishes were recorded, blood samples were withdrawn, live body weight was recorded, fish were dressed (eviscerated) and filleted, the flesh were minced, dried, and sieved for chemical analysis. From the forgoing results, it could be concluded that the worthiness comparison among fish species for physical, biochemical and haematological parameters, and fish quality must be done between similar species, sex, size, physiological status, nutritional status, rearing system. These parameters are variable and influenced by genetically and environmental aspects.
Comparison Between Blood Haematology of Egyptian Freshwater Food Fish and Ornamental Fish Mohamed Abdelhamid, Abdelhamid; Refaey, Mohamed Moaaz; Mohammed El-Sayed, Hazem Ga'far; Ahmed Mo'aty, Gehad
Journal of Applied Science, Engineering, Technology, and Education Vol. 3 No. 1 (2021)
Publisher : Yayasan Ahmar Cendekia Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (505.393 KB) | DOI: 10.35877/454RI.asci31116

Abstract

The present study was carried out to compare between some freshwater food fish species and some other freshwater ornamental fish species commonly known in Egypt, concerning the haematological parameters, dressing percent, fillet (boneless meat) percentage, and chemical composition of the fish flesh on dry matter basis. Four food fish species (Nile tilapia, grass carp, catfish, and Tobara from Manzalah Fish Farm, Dakahlia governorate, General Authority For Developing Fish Wealth, Ministry of Agriculture, Cairo, Egypt) and two ornamental fish (Koi and Fan-tail (Goldfish), from local ornamental fish trade shops, Mansoura, Dakahlia governorate, Egypt) species all belonging to the freshwater fishes were sampled, three fishes from each. Body measurements of the individual fishes were recorded, blood samples were withdrawn, live body weight was recorded, fish were dressed (eviscerated) and filleted, the flesh were minced, dried, and sieved for chemical analysis. From the forgoing results, it could be concluded that the worthiness comparison among fish species for physical, biochemical and haematological parameters, and fish quality must be done between similar species, sex, size, physiological status, nutritional status, rearing system. These parameters are variable and influenced by genetically and environmental aspects.
Effect of COVID-19 in Bangladesh: Challenge and Overcome Rana, M. Shohel; Rony, Mohammad Abu Tareq; Aktar, Nilufa; Hossain, Kabir; Shuvo, Tonmoy Alam; Begum, Susmita; Ul Hosna, Asma
Journal of Applied Science, Engineering, Technology, and Education Vol. 3 No. 1 (2021)
Publisher : Yayasan Ahmar Cendekia Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1263.548 KB) | DOI: 10.35877/454RI.asci128

Abstract

To control and minimize, many countries have to try to impose radical lockdown, red zone and movement control or stay on their residents. The effectiveness of these alleviation measures is highly dependent on collaboration and the fulfillment of all members of a civilization. The knowledge, attitudes and practices people hold toward the disease play a vital role in determining a society’s willingness to accept behavioral change of the people. This study was to determine the Effect of COVID-19 in among the Bangladeshi public. A cross-sectional online survey of 260 Bangladeshi residents of various sectors and professions was conducted via Google form. Descriptive statistics, chi-square tests, t-tests and one-way analysis of variance (ANOVA) were conducted. Principal component analysis (PCA) was considered to design a standardized scale to measure the mental stress and socioeconomic crisis. Logistic regression was applied to estimate the statistically significant association between different variables on awareness level of the country and cluster analysis (CA) was applied to examine the reliability of each item according to the components to develop a composite score. The overall rate of the level of awareness of Bangladeshi people was only 25%, although 96.9% knowing COVID-19 epidemic. The 33.5% maintain lock down and 40.0% people maintain social distance. We found lack consciousness of People spreadCOVID-19that maybe increase about 68.1% over the country and there is positive correlation between people knowing COVID-19 and awareness level. Losses in education sector are found statistically significant. The PC 1 (first principal component) explained 9.328 % of the variance which was moderate positive loaded with locality people maintain social distance (0.568) and strong positive loaded with people maintain lockdown in locality (0.619). Moreover, result shows that, stay at home was the best method to reduce this pandemic situation, and agriculture sector may overcome this economic distress. However, Meta-Analysis showed that there is strong association between awareness levels of COVID-19 and washing hands daily in the lockdown area.
Effect of COVID-19 in Bangladesh: Challenge and Overcome Rana, M. Shohel; Rony, Mohammad Abu Tareq; Aktar, Nilufa; Hossain, Kabir; Shuvo, Tonmoy Alam; Begum, Susmita; Ul Hosna, Asma
Journal of Applied Science, Engineering, Technology, and Education Vol. 3 No. 1 (2021)
Publisher : Yayasan Ahmar Cendekia Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1263.548 KB) | DOI: 10.35877/454RI.asci128

Abstract

To control and minimize, many countries have to try to impose radical lockdown, red zone and movement control or stay on their residents. The effectiveness of these alleviation measures is highly dependent on collaboration and the fulfillment of all members of a civilization. The knowledge, attitudes and practices people hold toward the disease play a vital role in determining a society’s willingness to accept behavioral change of the people. This study was to determine the Effect of COVID-19 in among the Bangladeshi public. A cross-sectional online survey of 260 Bangladeshi residents of various sectors and professions was conducted via Google form. Descriptive statistics, chi-square tests, t-tests and one-way analysis of variance (ANOVA) were conducted. Principal component analysis (PCA) was considered to design a standardized scale to measure the mental stress and socioeconomic crisis. Logistic regression was applied to estimate the statistically significant association between different variables on awareness level of the country and cluster analysis (CA) was applied to examine the reliability of each item according to the components to develop a composite score. The overall rate of the level of awareness of Bangladeshi people was only 25%, although 96.9% knowing COVID-19 epidemic. The 33.5% maintain lock down and 40.0% people maintain social distance. We found lack consciousness of People spreadCOVID-19that maybe increase about 68.1% over the country and there is positive correlation between people knowing COVID-19 and awareness level. Losses in education sector are found statistically significant. The PC 1 (first principal component) explained 9.328 % of the variance which was moderate positive loaded with locality people maintain social distance (0.568) and strong positive loaded with people maintain lockdown in locality (0.619). Moreover, result shows that, stay at home was the best method to reduce this pandemic situation, and agriculture sector may overcome this economic distress. However, Meta-Analysis showed that there is strong association between awareness levels of COVID-19 and washing hands daily in the lockdown area.
COVID-19 cases prediction using regression and novel SSM model for non-converged countries Patil, Rupali; Patel, Umang; Sarkar, Tushar
Journal of Applied Science, Engineering, Technology, and Education Vol. 3 No. 1 (2021)
Publisher : Yayasan Ahmar Cendekia Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (903.292 KB) | DOI: 10.35877/454RI.asci137

Abstract

Anticipating the quantity of new associated or affirmed cases with novel coronavirus ailment 2019 (COVID-19) is critical in the counteraction and control of the COVID-19 flare-up. The new associated cases with COVID-19 information were gathered from 20 January 2020 to 21 July 2020. We filtered out the countries which are converging and used those for training the network. We utilized the SARIMAX, Linear regression model to anticipate new suspected COVID-19 cases for the countries which did not converge yet. We predict the curve of non-converged countries with the help of proposed Statistical SARIMAX model (SSM). We present new information investigation-based forecast results that can assist governments with planning their future activities and help clinical administrations to be more ready for what's to come. Our framework can foresee peak corona cases with an R-Squared value of 0.986 utilizing linear regression and fall of this pandemic at various levels for countries like India, US, and Brazil. We found that considering more countries for training degrades the prediction process as constraints vary from nation to nation. Thus, we expect that the outcomes referenced in this work will help individuals to better understand the possibilities of this pandemic.
Prevalence and determinants of mental distress during COVID-19 outbreak in Bangladesh: evidence from an online survey Saha, Shilpi Rani; Khan, Dr. Md. Mobarak Hossain
Journal of Applied Science, Engineering, Technology, and Education Vol. 3 No. 1 (2021)
Publisher : Yayasan Ahmar Cendekia Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (540.013 KB) | DOI: 10.35877/454RI.asci150

Abstract

Novel Coronavirus disease 2019 (COVID-19) is an ongoing pandemic and life-threatening highly infectious disease outbreak. The people of Bangladesh are at high risk of COVID-19 and have already experienced various socio-economic, Physical health, and psychological consequences. Particularly, mental health problems are dominantly reported in the literature and should be controlled. The main objective of this epidemiological study is to assess the mental distress and identify its determinants using an online-based survey. Such information is urgently needed to develop feasible strategies for Bangladesh. An online survey was conducted for this study from May 01 to May 05, 2020. A total of 240 respondents provided self-reported online responses. Respondent’s mental distress was measured by the General Health Questionnaire 12 (GHQ-12) and by the self-rated mental health (SRMH) questions. Various kinds of statistical analyses ranging from simple to multivariable logistic recession were performed using SPSS 23.0. About 31.3% and 48.3% of respondents were mentally distressed by GHQ-12 and SRMH questions, respectively. Logistic regression analysis revealed that mental distress was significantly higher among those respondents, whose usual activity was affected by the coronavirus (OR = 6.40, 95% CI: 1.87 - 21.90, p<0.001) and whose financial stress was increased due to lockdown (OR = 2.12, 95% CI: 1.01 – 4.46, p<0.05) on GHQ-12. Female sex (OR = 1.97, 95% CI: 1.03 – 3.75, p<0.05) and respondents with poor mental health before the outbreak (OR = 3.38, 95% CI: 1.18 – 9.72, p<0.05) were also significantly affected by mental distress on SRMH. At least thirty-one percent of the respondents were found to be mentally distressed. Some of the study findings, particularly significant determinants, should be considered while developing strategies to reduce the burden of mental distress among study respondents or similar groups.
Preferences between Caesarean Section and Normal Vaginal Delivery among the reproductive women in Bangladesh Parvej, Md. Iftakhar; Tabassum, Mimma; Aktar, Nelufa
Journal of Applied Science, Engineering, Technology, and Education Vol. 3 No. 1 (2021)
Publisher : Yayasan Ahmar Cendekia Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (393.977 KB) | DOI: 10.35877/454RI.asci152

Abstract

Amount of death due to pregnancy are gradually decreasing worldwide, among all of these estimated deaths, one-fifth of the maternal death recorded in southern Asia. The increasing rate of caesarean section (CS) delivery and the improved safety of surgical skill are the big reason of reduced pregnancy related mortality rate. Bangladesh has the increasing CS rate on southern Asia. This study aimed to identify the different factors affecting the increasing rate of CS in Bangladesh This cross-sectional survey was conducted between January 2020 - March 2020 among the married women at reproductive age (15-49 years age) having at least one under five years child of Dhaka and Noakhali district in Bangladesh. A questionnaire was designed to survey the preference of their delivery mode. Bivariate logistic regression analysis was performed to identify the factors. A total of 357 Bangladeshi women participated in the survey and 55.7% declared they would prefer normal vaginal delivery (NVD) and 37.3% had no clear preference. The actual scenario was the overall CS rate was 51.8% during 2015-2019. But it was very high (77.8%) for the 40 years and above women. The study revealed several important factors that significantly affect the increasing rate of CS for childbirth. Maternal age, religion, current place of residence, working status, monthly household income, birth order, marital age and year of childbirth were found to have significant effect on the high rate of CS. All those who have had face CS at least once in our study faced various problem, they reported. Most of them was feeling tired to do little work and suffered long term back pain. This study will help policy makers in formulating appropriate programs to cope with this challenge efficiently and effectively. Some Special programs should be taken to increase the social awareness and values to save both mother and child, which may lead to decrease the rate of CS in Bangladesh.
The Enhancement in Mastery Abilities of Geometric Transformation Formulas Through Play Lucky Card Technique on the Students of Class VIII-2 at SMP Negeri 3 Barru, Indonesia Talha, Muhammad
Journal of Applied Science, Engineering, Technology, and Education Vol. 3 No. 1 (2021)
Publisher : Yayasan Ahmar Cendekia Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (351.242 KB) | DOI: 10.35877/454RI.asci164

Abstract

The method used in this study was a classroom-based action research that aimed to improve students' mastery of the geometric transformation formulas through the Play Lucky Card technique. This study was conducted in class VIII.2 of SMP Negeri 3 Barru with 23 students. The results achieved after the study was carried out for two cycles were as follows: In the first cycle, there were 40.63% of students who had the ability to master the geometric transformation formulas in the sufficient category. Whereas in the classical results, it was found that the students' average score was 68.06 in the 54.6-64.5 interval or in the sufficient category. In the second cycle, there were 56.25% of students who had the ability to master the mathematical formulas in the high category, 28.13% of students had the ability to master the mathematical formulas in the very high category. From the results of the final evaluation of the second cycle, it was classically found that the students' average score was 76.75 in the 64.6-84.6 interval or in the high category. Based on the results of the final evaluation, the students of class VIII.2 had an absorption amounted to 86.75%, and other data showed that the students of class VIII.2 who scored > 65 (84.38%), were in the high and very high category. Thus, it can be concluded that there was an increase in the ability to master the geometric transformation formulas of class VIII.2 students at SMP Negeri 3 Barru after the implementation of Play Lucky Card technique, there was an increase in motivation and activeness as well as the presence of students following the mathematics learning process. This was reflected in the number (quantity) of students who raised their hands to work on the questions on the blackboard which tended to increase from one meeting to the next. Moreover, almost all students submitted every homework according to predetermined deadlines.

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