International Journal on Advanced Science, Engineering and Information Technology
Not a member yet
2006 research outputs found
Sort by
Developing Touchless Dispenser System Based on IoT to Support Hydration Needs for University Students in New Normal Phase in Indonesia
Get PDFFollowing the global pandemic of COVID-19, in August 2021, Indonesia achieved a total of 3.930.300 cases, the highest in Southeast Asia. However, the government is keen on promoting the new normal phase and planning to open schools and permit face-to-face learning, from elementary up to universities. This means that public facilities and infrastructures will be used and can be the medium for virus transmission, as it will require 48 to 72 hours for the virus to be inactive on those surfaces. This will make people reluctant to touch surfaces, especially when it comes to public facilities that can provide for their needs. One of the most important is the need for hydration which is often overlooked. About 25% of college students were found dehydrated, and 37,5% showed signs of it. Dehydration could prove a serious threat to health had it been overlooked and could affect physical and cognitive performance, having more effects on students and lectures, requiring both in their activities. To support the needs of hydration amidst the pandemic, this research developed a touchless water dispenser system using the waterfall model, utilizing a cloud database with ESP32, controlled by users through an android application. The design is easy and cheap to install, even on regular dispensers, making it an effective and efficient alternative public facility providing hydration service to support the new normal phase
College Students’ Perception and Concerns regarding Online Examination amid COVID-19
Get PDFGrowing concerns about online examinations have led to various investigations of techniques for improvement. With most higher education institutions shifting to online learning and examination amid COVID-19, these concerns, including the academic dishonesty, validity, reliability, and anxiety of online examination, are more critical than ever. This paper presents the outcomes of the survey to elicit the perceptions of undergraduate students from two universities in South Korea and Malaysia towards undertaking online exams and the associated concerns. Additionally, the study explores the potential of artificial intelligence (AI) in addressing these concerns. There are three main research questions: 1) How has AI been adopted to tackle the four main concerns in online exams? 2) What are the students’ perceptions regarding these concerns? Are there any differences between South Korean and Malaysian students? 3) What is the extent of the stress level when webcam proctoring and timers are implemented during online exams? The survey results show that both South Korean and Malaysian students agree that online exams make cheating more accessible than in-person exams. They also suggest that selecting questions randomly from a question bank could discourage cheating. Moreover, the study highlights that both groups of students experience moderate stress levels when webcam proctoring is used over Zoom during online exams, and they experience a high-stress level when timers are set for each question
Hybrid Feature Extraction and Infinite Feature Selection based Diagnosis for Cardiovascular Disease Related to Smoking Habit
Get PDFElectrocardiography (ECG) is a growing study in the realm of patient monitoring systems to detect cardiovascular disease (CVD) by smoking habits. This study investigated the categorization and analysis of CVD related to smoking habits using the ECG dataset from the Physikalisch-Technische Bundesanstalt (PTB). After acquiring ECG data, the feature vectors were extracted using hybrid feature extraction (a mix of statistical, energy, and entropy characteristics). To extract features from obtained ECG signals, nineteen characteristics were merged. Artifacts in the signal are being reduced by using a zero phase butterworth filter, and the peak identification of ECG signal is attained by using the Pom-Tompkins method. Then, infinite feature selection was used to delete unnecessary characteristics or choose the best feature subsets. After choosing the best characteristics, the ECG signals of smokers and non-smokers are classified using a supervised classifier (K-Nearest Neighbor (KNN)). KNN classifier has the advantage of balancing the data for the classification of smoker and non-smokers. This discovery has several benefits, including earlier detection of cardiovascular disorders and great assistance to physicians during surgery. The results of the experiment are evaluated using classification Accuracy, F-Score, Specificity, Sensitivity, and Mathews Correlation coefficient (MCC) for the proposed technique, and the process efficiently discriminated the ECG signals of smokers from non-smokers in comparison to the previous methods; the suggested strategy improved accuracy by 3-40%
Comparative Analysis of Sugarcane Varieties in the Milagro Canton, Ecuador
Get PDFSugarcane is of great economic importance for the country; large and small sugarcane growers depend on this crop. In the present research, a comparative study was conducted between sugarcane varieties for a period of five (2017-2021) and ten years (2012-2021). Data from the Valdez mill and CINCAE were processed with descriptive statistical tools. The results indicated that the most cultivated varieties from 2017 to 2021 were ECU-01 and CC85-92; for the period from 2012 to 2021, the varieties CC85-9 and ECU-01. The EC-02 variety stood out in tons of cane harvested per hectare from 2012 to 2021 and the EC-02, ECU-01, and EC-06 varieties from 2017-2021. Varieties EC-06, EC-02, and EC-05 stood out in yield of 50kg bags of sugar per hectare from 2017 to 2021, and in 2012 to 2021 the varieties EC-02 and ECU-01, respectively. Varieties EC-06, EC-04, and EC-05 (2017-2021) and RAGNAR (2012-2021) achieved lower cutting age. Varieties EC-06 and EC-05 (2017-2021) and EC-02 and RAGNAR (2012-2021) presented the highest poll percentage (%). Finally, varieties EC-06 and EC-05 (2017-2021) and RAGNAR and CC85-9 (2012-2012) had better yields in kilograms of sugar per ton of cane (KATC). It is concluded that there is a moderate positive correlation between the variable tons of cane/ha and bags of sugar/ha and a very high positive correlation between KATC and sucrose content in juice (pol grades)
The Analysis of Factors Affecting Behavioral Intention and Behavior Usage of E-Wallet using Meta-UTAUT Model
Get PDFMassive increase in e-wallet users makes e-wallets an alternative payment transaction method in Indonesia. Research and surveys by Boku Inc. predict that e-wallet users in Indonesia will increase by three times in 2025. This study aims at identifying the factors underlying users' intention and behavior in using e-wallet services by applying the meta-UTAUT model. Variables were examined in the meta-UTAUT model, and other variables, including anxiety, trust, redressal, and service smartness, that underlie the purpose and behavior of using e-wallets from the user's perspective were added. This research is a quantitative study making use of primary data collected through online questionnaires to 269 e-wallet service users. The PLS-SEM method was utilized as a statistical analysis method with SmartPLS 3.3.3 software to process the data. This study found that trust has a positive effect on acceptance attitudes, redressal has a positive effect on trust, and service smartness has a positive effect on behavioral intentions. In contrast, anxiety negatively influences user attitudes towards e-wallet services, while effort expectancy and social influences have no direct and insignificant effect on intentions to use e-wallets. To contribute to e-wallet research that focuses more on the user's perspective, further research is on investigations of perceived security and perceived risk so that the model used can have predictive relevance with a higher R-square value
Designing Web-Based Knowledge Building for Pedagogical Content Knowledge Development of Prospective Teachers
Get PDFProspective teachers need to be competent in teaching mathematics. Web-based Knowledge Building is designed to train prospective teachers to have knowledge and skills in teaching mathematics to elementary students. The research and development studies using the ILDF model consist of three phases: exploration, enactment, and evaluation. In the exploration phase, 175 prospective teachers respond 5 points Likert scale for need analysis. We get information that prospective teachers have moderate abilities and conceptual knowledge but high abilities in procedural knowledge. Also, they highly intend to improve their competence in teaching mathematics. They have high skills in learning in an online environment. In the enactment phase, the Moodle application was designed and developed Web-based building knowledge running by LMS. Arithmetic’s instruction course installed in LMS organized in 16 sessions and facilitated by document video, and quiz. The prototype was validated by three subject matter and three learning media experts. In the evaluation phase, the prototype was validated by 40 prospective teachers. The results were that the prototype has a higher score in easy to use, subject matter organizing, adequacy and breadth of subject matter, and benefit. In conclusion, web-based knowledge building is valid and appropriate for developing prospective teacher education. The web-based knowledge building is advantaged in information access, collaboration, knowledge construction, and learners’ responsibility in knowledge acquisition
Transaminase Enzyme Activity and Histopathology Evaluation of Rat’s Liver Induced by DMBA with Temulawak Extract (Curcuma xanthorrhiza)
Get PDFTemulawak rhizome (Curcuma xanthorrhiza) contains curcumin and xanthorrhizol, which may be used as breast cancer drugs and hepatoprotection. This study aims to analyze the activity of alanine and aspartate transaminase enzymes and the histopathological picture of 7,12-Dimethylbenz(α)anthracene (DMBA)-induced rat liver due to the administration of temulawak extract. This study used 28 female white rats, divided into seven treatment groups, a control group (normal and DMBA) and a treatment group induced by temulawak extract orally with doses of 35, 70, 140, 210, and 280 mg/kg Body Weight (BW) during the 11-week study period. The results obtained were that the application of temulawak extract had a significant effect on alanine transaminase (ALT) levels but did not differ between groups. Aspartate transaminase (AST) levels differed at a 35 mg/kg BW dose. Temulawak extract at a dose of 140 mg/kg BW, the De Ritis ratio at normal values. The results of the histopathological analysis showed hepatocyte repair and sinusoidal dilatation were less than optimal at a dose of 140 mg/kg BW. This study concluded that the temulawak extract showed a significant but insignificant difference in the ALT value. The AST value significantly differed in administering temulawak extract at a dose of 35 mg/kg BW. The dose of 140 mg/kg BW controls the value of the De Ritis ratio to the normal value. Temulawak extract is expected to improve the healing of the liver damaged by carcinogenic substances
Simulation of Single-Phase on-Grid Photovoltaic Inverter for Power Injection and Active Power Filter
Get PDFCurrently, most photovoltaic (PV) sources are connected to the grid. This research discusses single-phase on-grid PV inverters. A two-stage inverter which consisted of a boost-type DC-DC converter and a single-phase inverter, was used. In addition, the inverter improved the power quality to deliver PV maximum power. The entire power generated by PV was to be delivered to PCC, and power quality in PCC was also improved. In this system, the grid only drew or supplied active power. The P&O algorithm, as a simple algorithm, was used to control the boost converter to obtain the maximum PV power. In a single-phase inverter, the DC link voltage regulation was carried out using the PI control (outer loop), while the hysteresis control was used to control the output current (inner loop). The voltage control regulated the power delivered from the PV to the PCC by maintaining a constant DC bus voltage at the specified value. With the current control, a single-phase inverter provided two compensations: reactive power and harmonics. In this research, a simulation to control a two-stage inverter was created by using PSIM. Irradiation for PV was varied between 0-1000 W/m2 for 5 seconds. The simulation results showed that the controls performed could work well, as shown by the maximum power injection from the PV to the PCC in which the grid current was sinusoidal (harmonic mitigation) and reactive power compensation was performed
Increasing the Competitiveness of Agroindustry Sago Products through Resource Optimization
Get PDFThe main source of agro-industrial raw materials mainstay of Meranti Islands Regency is Sago plants. The research aims to optimize resource use to increase the Sago agro-industrial competitiveness. Surveys were used as the research method. The census was chosen to take 56 respondents for review. SEM-PLS and Diamond Porters used data analysis methods—factors condition: natural, human, scientific, capital, and infrastructure resources. Demand conditions include household or small industry demand, export demand, and demand between districts, provinces, and countries. Related and supporting industries include manufacturing, home, distribution of Sago farmers, Sago refineries ownership, and a sewage treatment industry. Firm structure, strategy, and rivalry have competition between regions and countries and create labor. The government's role includes ease of licensing, research on Sago, land mapping, access to capital, and coaching. Chances include domestic political conditions and the use of social media. Competitiveness can be reflected in business profits. Results of the research show that demand conditions, firm structure, factor conditions, related and supporting industries, strategy and business competition, government involvement, and chances were determinants of increasing competitiveness of the agro-industrial Sago product. However, the condition factors (physical/natural resources, infrastructure resources, human resources, capital resources, and scientific resources) determine the most. In the future, utilization conditions need to be optimized to increase the competitiveness of the Sago agro-industrial as well as improve the welfare of the community
RGB Channel Combinations Method for Feature Extraction in Image Analysis
Get PDFLatest image analysis deep learning algorithms use diverse methods to extract features from images based on the Convolution Neural Network (CNN). CNN has a convolution layer consisting of RGB as three overlapping channels in the feature extraction process, and such architecture enables the backbone network to flow without losing each hue information. Therefore, 3D input data consisting of 3 channels to process the RGB channel consists of a large-scale neural network with many layer blocks. This processing method exhibits high accuracy. However, in terms of practicality, it results in big inefficiencies such as memory overhead and computational overhead. This study proposes the RGB Channel Combinations Method for Feature Extraction in Image Analysis to resolve such inefficiencies. This is a method that converts the RGB value into one tensor structure by combining each weight and bias and makes it possible to pass through the backbone network without damaging hue information. Based on the experiment results, it is confirmed that the accuracy decreased by 1.42% compared to the pre-existing method, but the number of parameters used by the input layer decreased. It is confirmed that the pre-processing used in the proposed method gained an additional computational overhead, but the number of input parameters decreased to 1/3 in the feature extraction stage performed afterward. As the proposed method applies to all image analysis algorithms, its expandability is extremely high and can process a large amount of image data