bluuebunny/crossref_metadata_2025 huggingface dataset:
Emotion Recognition for Improving Online Learning Environments: A Systematic Review of the Literature
Authors: Mangaras Yanu Florestiyanto
Published: April 2024

The increased intervention of computer vision in enhancing learning environments has intrigued modern literature on educational research. Affective tutoring system (ATS), student emotion recognition system (SERS), sentiment analysis, and multi-agent system (MAS) have significantly enhanced the online learning environment. Without preceding technologies, online learning environment growth was found to be redundant due to a lack of a corrective mechanism in marginalized viewpoints of tutor in noting facts for their learning environment. As a result, computer vision was found to enhance the online learning environment by providing tutors with enhanced monitoring ability and assistive measures. The following study incorporated a systematic review of 33 papers, efficiently reflecting technology usage in education. The study examined methods for extracting and analyzing emotional data, machine learning algorithms, flexibility to individual learners, camera quality, and ethical issues. This study sought to illuminate these systems' pros and cons. This research shows that emotion recognition systems can improve online learning. These technologies quantify and analyze students' emotional responses, helping educators improve teaching techniques and material. With real-time input on students' emotions, teachers can adjust their methods to keep students engaged and increase academic performance.
Effectiveness of Management Education and Leadership Training for Structural Officers in Karawang District, West Java, Indonesia
Authors: Muhamad Taufik Bintang Kejora Sutarjo,
Published: April 2024

Leadership training for structural officials is one of the trainings carried out by the Karawang Regency Government to improve the quality of human resources, the quality of public services and organizational performance. The research aims to analyze the effectiveness of leadership training management, and formulate a hypothetical model of structural officer leadership training management. This study used qualitative methods with three data collection techniques, namely, interviews, participant observation and document analysis. Based on the results of data analysis, this study concludes that leadership training management has not been fully effective. Based on these findings, this study developed a hypothetical model that is used as a strategy to improve the effectiveness of leadership training management, namely competency-based leadership training that can be implemented in leadership training of structural officials of Karawang district.
Addressing Challenges in Bridging Japanese Research Culture with Malaysian Higher Education for Postgraduates Studies
Authors: Khairul Zahreen Mohd Arof
Published: April 2024

This research article examines the challenges in bridging Japanese research culture with the Malaysian higher education system, specifically focusing on postgraduate studies. It investigates various aspects, including research practices, institutional frameworks, mentor-student relationships, collaboration patterns, funding mechanisms, and publication norms. The investigation is done via literature review and interviews with 25 subject matter experts. This research found that Japanese research practices emphasise meticulous methodologies, while Malaysian practices prioritise local challenges. Institutional frameworks in both countries highlight academic excellence, with Japan emphasising hierarchy and Malaysia emphasising collaboration. Mentor-student relationships in Japan tend to be hierarchical, whereas, in Malaysia, they are more egalitarian. Collaboration is valued in both countries, with Japan emphasising interdisciplinary projects and industry partnerships. Funding mechanisms differ, with Japan benefiting from larger budgets and established agencies. Both countries recognise reputable journals, but Malaysia also values local publications.
The Influence of Brand Image and Influencer’s Credibility on Buying Decisions with Brand Trust as an Intervening Variable A Study on David GadgetIn's Youtube Subscribers
Authors: Nizar Alam Hamdani
Published: April 2024

Purpose: Currently, smartphones are one of the most widely used technologies in the country, including in Indonesia itself, making smartphones a necessity and a must-have priority.

Design/methodology/approach: This study aims to find out how brand image and influencer’s credibility influence the consumers’ purchasing decisions with brand trust as an intervening variable on YouTube subscribers David Gadgetin, a Xiaomi smartphone user in Garut West Java, Indonesia. The method in this study used a descriptive method using a quantitative approach. The data collection technique in this study used a questionnaire as the primary data which was distributed to 100 respondents using a purposive sampling method.  Data analysis technique utilized PLS–SEM.

Findings: The results of this study indicate that brand image has a positive effect on brand trust. Influencer’s credibility has a positive effect on brand trust. Brand image has a positive effect on purchasing decisions. Influencer’s credibility has a positive effect on purchasing decisions. Brand trust has a positive effect on purchasing decisions. Brand image has a positive effect on purchasing decisions with brand trust as an intervening variable and influencer’s credibility does not affect purchasing decisions with brand trust as an intervening variable.
Development and Employment of Cyber Security of e201 File Web Application for Data Center College of the Philippines of Laoag City, Inc.
Authors: Aristotel Aaron Agpaoa
Published: April 2024

Web-based systems in today's interconnected world play a vital role and need of enhanced cybersecurity measures to protect sensitive information since cybercrimes are increasing rapidly. The focus of the study is on the development of an e201 file web application for the Data Center College of the Philippines which will be accessed through a web browser. The objective study is to evaluate the cybersecurity of the developed application, particularly in handling essential personnel records using confidential data OWASP ZAP security testing tool and its software quality based on ISO 25010 specifically in software functionality, usability, and security to determine if it is ready for live deployment. The study utilizes the Research and Development model as its research design to achieve its purpose. The conceptual framework of the study utilized the used of Input-Process-Output model and the Agile Iterative model in the development. The result of the security testing and suggestions of the OWASP ZAP, cyber security was employed in the web application including Content Security Policy Header, HTTOnly Cookie flags, SameSite attribute, X-Content-Type-Options Header, and Anti-CSRF Token.  With an overall mean of 4.41 in the result of Users Acceptance Testing, it implies that the system is a great help for the institution. The positive feedback received from evaluators confirmed that the development of the e201 files web application were successful. This study implies that utilizing the OWASP Zap is a great help in strengthening cybersecurity and ISO 25010 in the software quality assurance of web applications of educational institutions.
The Food Instagrammer Effect in the Study of Advertising Literature
Authors: Afifatur Rohimah
Published: April 2024

Food Instagrammer became a new trend of society. Proven by many food photo posts by users of Instagram social media accounts. Food is no longer an object of hunger busting, but it has become a worthy object to exploit in order to gain existence on social media. Food Instagrammer become the determining trend of food photo trends on Instagram, because the food is presented with the technique of food. The more full Instagram timeline with food photos is the real evidence of a new phase in the advertising world, advertising is no longer a corporate communication tool created by the advertising agency, the presence of social media makes everyone able to Produce advertising content. In this study, tried to reveal the world of advertising that is entering a new phase due to the presence of social media by Food Instagrammer. Based on the analysis results of 80 respondents, it was obtained that almost 80% more interested in food advertising by Food Instagrammer primarily on Instagram, rather than conventional advertising by companies that appear on social media. After thorough analysis, researchers get surprising data. For respondents, the advertising of companies on social media is considered to be disturbing, and is often avoided. Unlike the advertising by Food Instagrammer, more often sought as a reference source, because more natural in the presentation of persuasive information.
Simulation and Economic Modelling of a Floating Solar Photovoltaic (FSPV) System using PVSyst
Authors: Jeffrey T. Dellosa
Published: April 2024

This paper examines the economic feasibility of implementing a Floating Solar Photovoltaic (FSPV) system in a Philippine Lake using the PVsyst simulation tool. The study involved a detailed simulation of the FSPV system's performance, considering various environmental and technical parameters. Key aspects such as system configuration, energy yield, and financial metrics including payback period and net present value were analyzed. Results indicate that the FSPV system could significantly contribute to local energy needs while proving to be a financially viable investment due to substantial reductions in CO2 emissions and lower energy costs compared to traditional power sources. According to assessments and simulations performed using PVSyst software, the FSPV system would possess a capacity of 10 kWp, with an expected available energy output of 13,599 kWh per year and an expected energy consumption of 12,940 kWh per year. The economic modeling of the FSPV system revealed a relatively short payback period of 4.8 years, with a net present value of Php 741,732.00 and a substantial return on investment of 227.5%. The Levelized Cost of Energy (LCOE) was estimated at Php 6.18 per kWh. The study underscores the potential of FSPV systems to meet the renewable energy needs of isolated communities by leveraging local water bodies for solar installations.
Design of a Decision Support System for Power Plant Thermal Efficiency Management at PLTU X
Authors: I. Wayan Cahya Prabawa
Published: April 2024

Efficiency management is one of the important pillars of the asset management system implemented at PLTU X based on PJBS guidelines to manage the power plant reliably and efficiently, which can support realising the company's vision of becoming a trusted power plant manager in Southeast Asia. As with efficiency management functions in other lines, the aim of power plant efficiency management is also to reduce production costs and ensure that the plant can operate efficiently all the time by controlling thermal losses in the power plant cycle. Determining efficiency management recommendations is very necessary to minimise the level of thermal losses that occur in the power plant's thermal cycle after evaluation. There is a series of evaluation processes that must be carried out to determine recommendations for optimising generator efficiency management; however, the process is currently still manual and takes a long time. With the advantages of a decision support system, which is usually used in determining systematic strategic decisions, it is hoped that this design can help engineers determine steps based on recommendations produced by the system precisely and in real-time so that they can be executed immediately to increase the efficiency of power plants even more. optimal.
Examination of Approaches for Identifying Vulnerabilities in Smart Contracts
Authors: Janhavi Satam
Published: April 2024

Objective: By reviewing various previous works, this paper collects the multiple of approaches, strategies used to identify vulnerabilities in smart contracts. Blockchain is a decentralized technology that securely and immutably, records transactions across numerous computers in a visible manner. On a blockchain, smart contracts are self-executing agreements that independently execute and verify contract conditions. This reduces the need for middlemen and increases transparency. Smart contract vulnerabilities are problems in the code that could allow other parties to gain access to, alter, or steal assets as a result of mistakes, faults or imperfections made during development, thereby causing financial and operational harm. In this paper we have algorithms, techniques to detect vulnerabilities in smart contract using deep learning found in literature surveys. Methods: We have found some techniques using opcode, bytecode, Skip-Gram-Word2Vec to convert the smart contract file. Findings: We have found that LSTM, Vanilla-RNN, GRU have very less accuracy 49.64,53.68,54.54. Novelty & Applications: We will come with some different algorithms that will understand different vulnerability with more accuracy. We have come with CNN, Xception, EfficientNet-B2 which has accuracy high then LSTM, Vanilla-RNN, GRU i.e.71,69,75 percent.
Impact of Big Data Analytics on Digital Marketing: Academic Review
Authors: Md. Aminul Islam
Published: April 2024

Strategic decisions require the use of analytics and big data technologies. Previous study has focused on big data applications, ethics, benefits, drawbacks, and analytical viewpoints, among other things. The goal of this study is to conduct a comprehensive literature assessment in these areas and to fill any research gaps on the impact of big data analytics on digital marketing approaches. We attempted to cover as many as 200 articles, news, publications, and other portals to investigate studies conducted from the past to the present. As a result, this study evaluated the current literature on big data applications and discovered that digital marketing is a vast sector in which big data has a considerable influence on the creation of digital advertising strategies and how advertising is influenced by big data.  Using the greatest big data applications, according to past research, can assist selected organizations in overcoming severe limits during one of the world's most catastrophic pandemics. This outcome will benefit academics and industry in two ways: first, the experimental output will navigate the state of mind on the relationship between digital marketing, digital advertising, and big data analytics; second, the data-based result will improve the ability to think more creatively in the future with other industry affiliations.
Assessing Initiatives to Alleviate Living Conditions in Communities: The Case of Computer Literacy Training Conducted
Authors: Rosalinda B. Guiyab
Published: April 2024

The study rigorously assesses the effectiveness of a capacity-building program focused on computer literacy. It employed the Input-Activities-Output-Outcome-Impact (IAOOI) framework, in which the constituent elements and processes were scrutinized, discerning their contributions towards generating tangible outcomes and eventual impacts on project participants. The study also highlights the accrued advantages, encountered challenges, and invaluable insights gained, thereby affirming the training's efficacy in enhancing the lives of its beneficiaries. The findings underscore a predominance of young adult, female participants, many of whom are married. The results demonstrate pronounced positivity across all stages of the IAOOI model, attesting to the program's remarkable relevance, responsiveness, and invaluable support in bolstering participants' professional pursuits.
The nature and practices of the use of Machine Learning and Deep Learning Frameworks to assist Software Project Management: A Developing Country Context
Authors: Nana Kwame Gyamfi
Published: April 2024

The study conducted a comprehensive analysis of literature and interviews related to the use of ML and DL in SPM, identifying challenges and gaps in the field. The study adopts a qualitative research design, gathering data through semi-structured interviews with project managers involved in SPM using ML and DL frameworks. The collected data is analysed using thematic analysis to capture the participants' subjective experiences, perceptions, and opinions. The findings suggest that while the use of AI techniques for SPM has been gaining attention, it is still in its infancy, with limited research and practice in developing countries. The study also emphasizes the unique challenges faced by developing countries in SPM, including limited resources, diverse stakeholders, cultural differences, and rapid changes. It suggests that ML and DL frameworks can offer advantages in enhancing the productivity, innovation, and competitiveness of software projects in these contexts. However, the study acknowledges that there are limitations to these AI techniques for SPM, and further research is needed to address these limitations. The study bridge the gap between theory and practice by offering practical insights for project managers and recommendations for future research in utilizing ML and DL frameworks to assist SPM.
Cognitive Competence of Prospective Elementary Teachers on Realistic Mathematic Education through Cooperative Learning
Authors: Puji Lestari
Published: April 2024

Having cognitive competence in mastering learning theory and designing learning is one of the important competencies for prospective teachers to have. The description of prospective teacher competence is important for lectures to follow up. One approach to learning in mathematics is Realistic Mathematic Education (RME). RME is a student-centered approach to learning mathematics adopted from the Netherlands and holds to the principle that mathematics is a human activity. This learning approach has been implemented massively in the last few decades in Indonesia and has had a positive impact so this approach is important to teach. However, there are still many prospective elementary teachers who do not know and understand what and how to implement RME itself. Because of the importance of the cognitive competence that prospective elementary teachers must have regarding this RME approach, further research is needed on this matter. The aim of this study is to describe how the cognitive abilities of prospective elementary teachers on RME approach with the application of cooperative learning. The method used in this study was descriptive qualitative with observation and survey data collection techniques which were analyzed using cognitive levels according to PISA and Anderson on 50 prospective elementary teachers in Yogyakarta State University or in Bahasa Universitas Negeri Yogyakarta (UNY) 4th semester students. The results of this study were that most students had a fairly good theoretical understanding of RME. Although to apply it in learning mathematics requires more training, especially in designing contextual problems and how to evaluate them with various other approaches in learning mathematics.
Lesson from COVID-19: Next Pandermics Preparedness from Buddhist Approach
Authors: Pattamawadee Sankheangaew
Published: April 2024

This paper has three objectives 1) to study the influence of digital and new technology on COVID-19 diagnosis and healthcare 2) To study COVID-19 from Buddhist Philosophical Perspective 3) To guide pandemics preparedness and primary care from Buddhist approach. COVID-19 stands for corona (CO), virus (VI), disease (D), or SARS-CoV-2, is a respiratory virus first identified in December 2019 in Wuhan, China (WHO, 2019). It is an epidemiological crisis that caused the deaths and sudden destruction of wealth and health of people around the world. Many countries responded to the crisis with what could only be called urgent prevention and treatment. In the 21st century, our society is based on digital and new technology that can control and prevent the COVID-19 pandemics. However, these ways for solving the problem of COVID-19 pandemics are rising an epistemological crisis too. There are some problems with the COVID-19 diagnosis. From Buddhist philosophy perspective, COVID-19 teaches us the coronavirus is causing us to experience some heightened forms of the three marks of our existence which are the impermanence (aniccā), the suffering (duḥkha), and the non-self (anatta). The establishment of scientific expertise and innovation has shown its value and educating the public about testing, diagnosis, communication, treatment, and vaccine development to prevent the next emergence diseases.
Experience of Student in the University of San Jose Recoletos (USJR) Senior High School (SHS) ICT Enhancement Curriculum Innovating an Augmented Reality App in 21st Century Classroom.
Authors: Joan S. Rajah
Published: April 2024

This study aims to know and determine the students’ experience in innovating an Augmented Reality App as material for learning and delivering lessons that can be used in the future classroom. AR may bridge the gap between the classroom and the physical experience.  Augmented Reality is a supplementary tool in delivering the topic. An innovative AR app strengthens the technical or techy skills of students taking the ICT Enhancement subject in Senior High.
Beyond Pedagogical Expertise: Best Practices of Classroom Advisers Toward an Effective Advising Framework
Authors: Renedict B. De Leon
Published: April 2024

Teachers do not just teach as they also fill the role of being classroom advisers of their students. This study explores their best practices through their lived experiences in managing the students in terms of their academic responsibilities, behavior, and even personal problems. The study employed a qualitative research design specifically a phenomenological approach wherein the participants of the study were selected through homogeneous purposive sampling. A series of semi-structured interviews were conducted after that, the interviews were transcribed and analyzed. The researcher came up with six emergent themes: (1) Raison d’etre: Reason for Being; (2) Development through Challenges; (3) Secure Attachment; (4) Observance of In Loco Parentis; (5) Adaptive Strategies, and; (6) Evidence of Success. It was found that classroom advisers described their lived experiences as challenging yet fulfilling duties. The best practices of classroom advisers involve establishing a connection with the students, valuing individuality, having constant communication, providing guidance, practicing parenting roles, yearning for the success of the students, being proactive, observing inclusivity in the classroom, and setting boundaries. The evidence of the success of their best practices, as presented by participants, includes gaining the trust of their students through listening and sharing stories, receiving messages of appreciation, and seeing the students transform for the better. An Effective Advising Framework was proposed based on the findings of the study which could be helpful in the classroom advisers for both public and private educational institutions.
Less Is More: Proposed Home-School Disaster Risk Reduction Plan
Authors: Angela C. Napa
Published: April 2024

Disaster happens anywhere and anytime. It hampers economic growth, undermines social stability, and changes geographical characteristics. This research focused on crafting a home-school DRR plan through the collaborative initiatives of the University of Batangas and its students and families, thus strengthening the home-school partnership. Just like what is mentioned in the title, the less that is done through a home-school partnership, the more meaningful the impact. Specifically, this research determined the respondents’ DRR knowledge, practices, and strategies and measured the impact of the said strategies. The DRR plan and possible integration of DRR themes into the curriculum will improve the DRR efforts being made in every community where university students live. The target participants were 507 college students of the University of Batangas, selected via stratified random sampling with a 5% margin of error and a 95% confidence interval. Descriptive statistics were applied to analyze the gathered data, such as the weighted mean, percentage, frequency count, and standard deviation. The in-depth information gathered from the interview was integrated into the results. The findings were as follows: the DRR knowledge of the respondents and the DRR practices applied were observed to be of great extent. Meanwhile, the impact of such practices was evident for most items but strongly evident for items that concern family living and home routines. The DRR plan crafted out of the home-school partnership is intended to assist the barangay in the implementation of some identified initiatives. Of equal importance is the integration of DRR themes into the identified university courses (NSTP, STS, and PE).
Study of Enhancement of Student Entrepreneurship Competence through Digital Learning Models
Authors: Siti Resmi
Published: April 2024

This research aims to conduct a study of increasing entrepreneurial students at the Center for Excellence Vocational High School in the Special Region of Yogyakarta through digital learning models. The role of a vocational school teacher is required to give birth to graduates with an entrepreneurial mentality, for this reason it is necessary to familiarize students with the application of entrepreneurship. The habit of implementing entrepreneurship in schools can be achieved through learning activities, applying entrepreneurial characteristic values in schools and entrepreneurship practices. The research approach uses qualitative research and data collection through focus group discussions. The informants for the research were teachers from Center for Excellence Vocational High School in the Special Region of Yogyakarta. Data collection was carried out in a focused and directed manner to respond to questions related to student entrepreneurship, financial literacy and learning models. The results of the study show that the quality of education is inseparable from the role of digital technology, so it is only natural that there are differences in the quality of education in various regions. Therefore, the learning process in Vocational High School needs to be planned, implemented and controlled to achieve the goal of producing graduates with an entrepreneurial mentality
Leading the Leader: Positive and Resilient Leadership (PRL) in Urban Public Schools through Filipino Public-School Teachers’ Metaphorical Perspectives
Authors: Mariciel B. Baligod
Published: April 2024

Positive leadership and resilient leadership are two types of leadership that share several commonalities, both of which seemingly respond and offer suitability to the unpredictable and volatile landscape and requirements of the times. While separately, there has been substantial empirical work on positivity and resilience in leadership, no study has been undertaken to combine both so that one type of leadership, i.e. Positive and Resilient Leadership (PRL), can emerge. Further, positivity and resilience in leadership have so far remained understudied among public organizations, particularly in urban public schools, a sector that considers ineffective leadership as among the major problems that hinder the quality of public education. Also, while previous studies have focused on such leadership from the perspective of school leaders, there remains a dearth of literature on understanding it from the standpoint of those being led, such as the teachers. To fill these gaps, this study examined the possible nature and characteristics of PRL by employing qualitative content analysis and thematic analysis in an attempt to (a) determine the metaphors Filipino teachers in urban schools use to describe leadership that is both positive and resilient, (b) identify how these metaphors capture the traits of positive and resilient school leaders in these schools, and (c) explore various situational practices of PRL in the Philippine urban public school sector. Findings showed five (5) categorizations of metaphors that were drawn from the responses of the public school teachers, indicating how PRL can provide them P.O.W.E.R., i.e. positivity, opportunity, wisdom, empathy, and reinforcement in six (6) aspects of school management, namely: (a) planning and implementation of school policies, programs, activities, and projects, (b) decision-making, (c) personnel management, (d) implementation of innovation and change, (e) resource generation and utilization, and (f) communication within and outside the organization that could improve urban public school teachers performance and well-being.
Factors Affecting Synchronous E-Learning amid Covid-19
Authors: Ryan Jay O. Agron
Published: April 2024

The education sector, which was tagged as the most affected by the COVID-19 pandemic, has been following a course determined by the consequences of this global health hazard. Its continuity amid the pandemic made possible the implementation of synchronous e-learning (S-EL) even if universities across the globe had insufficient preparation.  Given this scenario, it is then the purpose of this study to provide an objective evaluation of S-EL implementation. The factors affecting learning effectiveness were revealed and the factors that students would like their institutions to consider were likewise taken into account. It is recommended that these factors be considered prior to implementation of S-EL.
EEG Sensor-Based Frequency Domain Analysis for Epileptic Seizure Detection
Authors: Abhishek Parikh
Published: April 2024

FMRI cannot apply to patients with implants and it has several limitations like temporal resolution, hence the EEG based detection of abnormal activities for epileptic patients is very important as if correct treatment and medication given to patient on correct time it can make the patient seizure free. In this paper we have proposed technique and it’s outcomes for the detection of epileptic seizure by using frequency domain analysis technique of EEG sensor array. And comparing it we’ve achieved classification accuracy is less 59% which is as compared to our previous study using time domain features which was 96.5%. We conclude that frequency domain features like Power spectral density, Kurtosis shall not be the selection but time domain features such as standard deviation and quartile ranges shall be considered.
A Comprehensive Review of Exploring the Dynamic Evolution of Digital Wallets and Currencies in the Face of Challenges, Innovation, and the Future Landscape from 2008 to 2023
Authors: Asmaa.A. Mohammed
Published: April 2024

The advent of digital payments in the last few years had not only led to the proliferation of electronic wallets or e-wallets where users deposit their funds and then use them to make secured and efficient transactions. E-wallet make it as an expectation; to give the customers the concrete, safe, and efficient way to manage digital assets like cryptocurrencies, and also tends to facilitate online transactions. In essence, this paper discusses the evolution of digital wallets in the timeframe of 2008 and present, giving spotlight to the difficulties such as security and interoperability. These factors are facilitated through technological advancements, ambiguous regulations and the change in consumer behaviors. Innovative solutions provided are the latest technologies in security and establishments of joint-ventures industries, among others. Trends forecast beyond 2021 include the merging of cryptocurrencies and decentralized finance and potential threats like quantum-resistant encryption. A digital wallet consisting of a digital block and a program called "the agent" has been designed by us. This program is responsible for conducting trading operations, sending and receiving money, as well as verifying the digital currency based on the permissions granted by the issuing bank. The wallet has been encrypted using the cyclic present lightweight block cipher algorithm. The growth of electronic wallets, also known as e-wallets, has facilitated cashless, safe, and effective transactions for small business owners and customers. The research developed a technique to pinpoint the transactional structure of the digital economy's e-wallet payment system, aiming to increase public awareness of digital currency and encourage its use in online transactions.
IoT and Machine Learning based Precision Agriculture through the Integration of Wireless Sensor Networks
Authors: N. Mohana Priya
Published: April 2024

In this study, the integration of IoT technology and machine learning (ML) algorithms with precision agriculture are studied, with an emphasis on optimizing irrigation management through wireless sensor networks. Data are collected in real time from various sensors that measure temperature, humidity, moisture in the soil and water levels. Such data is used to predict the demands for water and control pump operations based on them. They employed different machine learning (ML) models, including Support Vector Machine (SVM), Decision Trees (DT), Random Forest (RF) and Naive Bayes (NB). The accuracy of pump operation predictions is then evaluated. SVM presents the highest overall accuracy. Followed closely by DT and RF. Confusion matrices can be used to glean insights into the misclassification patterns of each model, guiding the selection of the most effective ML approach for precision agriculture applications. IoT and ML technologies together enable real-time monitoring, adaptive control, and data-driven decision-making in agriculture, all of which can help towards efficiently using water resources in dealing with climate change and rapidly growing food demands.
Identification of Parkinson’s Disease Using Stacking Classifier
Authors: Kaushik Subramanian
Published: April 2024

Parkinson's disease, a neurodegenerative condition, impacts millions of individuals across the globe. Timely and precise identification is imperative for efficient administration and therapy. The current study centers around utilizing machine learning algorithms to forecast Parkinson's disease by analyzing biomedical and clinical information. A comprehensive dataset comprising demographic information, medical history, and clinical assessments is collected and preprocessed to handle missing values and ensure data quality. To determine the most significant factors that can predict the disease, methods for selecting and extracting features are employed. The effectiveness of stacking classifier algorithm is assessed in terms of their ability to make accurate predictions. The dataset is split into two parts, one for training and the other for testing. Cross-validation is used to adjust the model's hyperparameters and stay away from overfitting. The model has been thoroughly assessed using conventional classification metrics and support vector machines (SVM). The findings of this research indicate that machine learning has significant potential in accurately predicting Parkinson's disease. Consequently, healthcare providers have the ability to enhance the well-being of individuals with Parkinson's disease and detect those who may be at risk at an earlier stage of the condition. This study adds to the continuous attempts to make use of advanced data analysis methods for the prompt detection and treatment of neurodegenerative disorders such as Parkinson's.
Artificial Neural Network based MPPT Controller with Boost Converter for Varying Solar Insolation in Arba Minch
Authors: Murugaanandam S, K.
Published: April 2024

Solar energy is an elixir of energy that can be used to generate electricity with the help of technology. Ethiopia has an abundance of natural geometric to generate electrical energy from solar irradiation. Renewable energy is a promising word for making the country free of fossil fuels. However, due to low efficiency, it necessitates a variety of methods to maximise output efficiency. In this effort, a MATLAB-SIMULINK PV module model was created to stuff Maximum Power Point (MPP) from solar energy. To test the performance of the proposed model, a closed loop system was created using a conventional controller and an artificial neural network (ANN). The developed model was put through its paces with various isolations. In response to uncertain solar irradiation conditions, the Artificial Neural Network ANN associated with the PV module delivered fast response and minimal oscillations.
Better Pedagogical Practices Could Enhance the Learning Performance of Students by Adopting Hybrid Learning Approach
Authors: Bishnu Paramguru Mahapatra
Published: April 2024

In order to provide students a well-rounded education that may improve their academic performance, this study focuses on the Hybrid Learning approach, which combines conventional classroom ways of teaching with new learning strategies. A hybrid learning strategy combines traditional classroom instruction with online resources to provide students with a well-rounded education. The learning results for students are optimally balanced via a hybrid learning strategy. It allowed students to concentrate on their studies from anywhere, and they were able to make better use of their time in class because to the abundance of technologically-enabled learning materials at their fingertips. Forty students were included in this research. Nineteen students served as the Experimental group and were taught using the hybrid mode of learning; twenty-one students served as the Control group and were taught using the conventional approach. The trial lasted for a full four weeks. According to the results, pupils in the experimental group who used hybrid educational approaches outperformed those in the control group who used more traditional methods. Students' academic performance may be enhanced by the integration of digital tools into traditional classroom instruction.
Typhoon Guard: Windows Protection System for Typhoon
Authors: Dexter M. Toyado
Published: April 2024

Typhoons are hazard that is threatening the Philippines every year. Design and construction of the houses and shelter in Catanduanes changes rapidly incorporating provision against wind speed. The effect of typhoon become the basis in the design of structures and the windows components. The study sought to answer what is the type of house built in Catanduanes, what is typical window system used for houses/building in Catanduanes, what are the protection and provision being implemented to withstand the effect of high winds pressure, and what are the safety practices to counter the effect of high winds of typhoon? Most designs and houses constructed in the late 80’s already introduced these provisions that make them easy to install the windows shutter locally termed as “typhoon guard”. This was also implemented by architects, engineers, and owners as a mandatory inclusion in the building construction and design.  The selection criteria for designer and owner include the budget, structural integrity of the window, and aesthetical appearance. Respondents acknowledge that windows must be protected from the force of gusty winds and debris impact and this will also ensure that your entire house or building stays safe and intact. Many respondents agree that it is vital to protect the window from breakage by using materials that can withstand the full force of the wind pressure or employing protection components to keep the window intact and safe. However, most owners of nipa hut and a handful of owners of bungalow houses suffer minor and major damages during super typhoon Rolly, and they have common concerns about their safety and evacuation to safe buildings is the ultimate safety practice to mitigate the risk pose by the typhoon. It is recommended that typical windows systems to be used in homes and buildings must be rigid enough to withstand wind forces.   Safety practices to counter the effect of high winds of typhoon includes removal of possible debris and projectile must be practiced. Also, Integrated windows protection design such as windbreaker must be re-integrated into the design of the building and adopt new window design to mitigate typhoon wind forces.
The Implementation of “WE R GREEN” Program in ADHI Construction Projects for CO2 Emission Efficiency
Authors: Ratih Dwi Anggraeni
Published: April 2024

As the leading state-owned construction company in Indonesia, PT Adhi Karya (Persero) Tbk (ADHI) has taken certain steps to address sustainability issues, especially when it comes to improving the environmental quality of infrastructure projects. "WE R GREEN" is an environmental program that emphasizes water conservation (W), energy efficiency (E), waste management (R, which stands for remove, reduce, reuse, and recycle), and tree planting activity (GREEN). This study used a construction project in Depok as the sample, where every action has a close relationship with the environment. The purpose of this study is to determine the CO2 efficiency of some project activities following the implementation of the "WE R GREEN" initiatives. The data consists of water consumption, project office building usage, electricity consumption, solid waste production, and planted tree specification. According to the data, total CO2 emissions were 110,62 tons CO2e year prior to program implementation, and the emission has dropped to 73,59 tons CO2e annually following the initiatives. This concludes that the total of 37,03 tons CO2e per year, or 33%, are reduced. Assuming the same number of people and project activities throughout all 109 ADHI projects to put the program into practice. The estimated annual CO2 output would thus decrease 4.036,06 tons CO2e.
Factors Influencing the Use of E-Assessment in Engineering Education During Emergency Remote Teaching: A Qualitative Approach
Authors: Amal Al-Badi
Published: April 2024

The study aims to investigate engineering education instructors' observations and experiences with e-assessment challenges during the COVID-19 pandemic's Emergency Remote Teaching (ERT) period. The study employed a focus group discussion method with a criterion sample of seven instructors from engineering education in a higher education institution. The data gathered was transcribed and analyzed using thematic analysis, which revealed four major themes: benefits, challenges, different types of remote assessment, and recommendations and guidelines for future better practice. The study's findings offer insights into the challenges faced by engineering education instructors during the ERT period, as well as recommendations for future better e-assessment practices.
Understanding Job Satisfaction and Its Influences in Nigerian Government Firms: A Systematic Literature Review
Authors: Onyemaechi Daniel Udechukwu
Published: April 2024

Job satisfaction is seen as a critical factor in employee performance. This article focuses on a thorough review of the literature to identify the numerous elements that influence job satisfaction and assess their relative importance in shaping employee performance in government-owned firms. The existing literature conceptualizations of job satisfaction are diverse, reflecting the broadness of critical perspectives on the subject. Job satisfaction is conceptualized in various ways in the existing literature, emphasizing the intricacy of key views on the subject. A systematic literature review entailed the following steps: (a) identifying databases and a set of publications; (b) selecting articles and creating a database; and (c) doing bibliometric analysis, content analysis, and verifying the relevance of results to future study. The review included publications from 2013 through 2023 and encompassed psychology, sociology, economics, and management science. Examining existing theoretical writings and practical tests reveals psychological and methodological flaws. Despite countless critical attempts to define exactly what constitutes job satisfaction, no clear and obvious definition has emerged. Similarly, there is a lack of crucial consensus among academics about what factors contribute to job satisfaction, resulting in diverse research methodologies. However, despite the growing popularity of job satisfaction studies, several of these characteristics have yet to be thoroughly investigated, and some research has produced inconsistent conclusions regarding the intensity of specific elements’ influence on job satisfaction. Hence, this study meets that demand by doing a thorough review of the literature and showing the direction of recent research.
Effectiveness Analysis of Water Injection into the GTD Compressor Duct in Its Various Stages
Authors: Ma Jiarui
Published: April 2024

this report presents the results of the authors research using the developed CompressorWI program to assess the influence of water injection conditions into the compressor ducts of GTD and GTU on their parameters and characteristics.
The Effect of Tagline "Beli Sekarang, Bayar Nanti" on Decision to Use Shopee Paylater
Authors: Maria Christina Ayubella Lestari
Published: April 2024

This study aims to determine the effect of the tagline "Beli Sekarang, Bayar Nanti” on decision to use Shopee PayLater for Generation Z in Bekasi, West Java, Indonesia. The theoretical studies used in this research are persuasive communication; SOR (Stimulus-Organism-Response) theory; marketing communication; tagline (familiarity, differentiation, message or value), and purchase decision. This is a quantitative research; distributing questionnaires to 100 respondents in Bekasi area. The sampling technique in this study is nonprobability sampling, namely purposive sampling. Data analysis techniques used is descriptive analysis and simple linear regression analysis. The results showed that there is a relationship between the tagline "Beli Sekarang, Bayar Nanti" and the decision to use Shopee PayLater with a correlation coefficient value of 0.510. The effect of the tagline "Beli Sekarang, Bayar Nanti" on the decision to use Shopee PayLater is 26%.