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Digital Records Management System and Firm’s Resilience in the Mainstream Media Industry
No full textIn the age of technological innovations infiltrating every facet of human and organization’s
endeavors; the records management processes are not left out as there is an opting for a more
efficient approach, hence, announcing digital records management systems. This study examined
the empirical association between Digital Records Management Systems (DRMS) and Firm’s
Resilience in the main-stream media industry. This study adopts the Technology Acceptance
Model by Fred Davis in 1986 as theoretical foundation. In order to elicit information as it regards
to the study, the descriptive survey research design was adopted by the researcher, amongst 67
personnel on a census study with 50 research instruments retrieved and validated for analysis using
Spearman Rank Order Correlation Coefficient. On the basis of analysis, the study found that realtime
collaboration, document archiving and document clouding which are the dimensions of
DRMS all have moderately positive significant relationship with firm’s resilience in the
mainstream media industry. Amongst others the study recommends that management of
organizations in mainstream media industries should invest in real-time collaboration tools and
encourage its use among employees. This will help improve overall productivity within the
organization
Classification of Heart Disease Using a Stacking Framework of BiGRU, BiLSTM, and XGBoost
No full textThis study aims to develop a heart disease classification model using an ensemble
approach by leveraging a Stacking framework that combines BiGRU, BiLSTM, and XGBoost
models. In this research, the BiGRU and BiLSTM models are utilized as base models to extract
temporal and spatial features from sequential data, while XGBoost is employed as a metamodel
to perform the final classification based on the features generated by the two base
models. The test results show that the BiGRU model achieves an accuracy of 0.77, while the
BiLSTM model achieves an accuracy of 0.85. By applying the Stacking technique using
XGBoost as the meta-model, the classification accuracy significantly increases to 0.92. These
findings indicate that the Stacking framework can effectively enhance heart disease
classification performance, making it a potentially powerful tool for medical applications in
heart disease diagnosis
Quantitative Analysis Digital Literacy of Secondary and Higher Vocational School Students in the Digital Economy Background - Preliminary Empirical Research Based on 181 Samples from Zhejiang, China
No full textImproving digital literacy has become one of China's important strategies in the digital economy
era, leading to an important mission of vocational education to cultivate digital talents. A
quantitative digital literacy survey was conducted among 181 secondary vocational and higher
vocational students in Zhejiang, China. Data analysis showed that the self-score of digital literacy
among vocational students was relatively high (3.97/5). Differences in digital literacy between
secondary vocational and higher vocational students reached the level of significance, but not
between students of different genders or different ages. The four dimensions of digital literacy,
digital awareness, computational thinking, digital learning and innovation, and digital social
responsibility" have significant correlation pair wisel
Application of the Sufficiency Economy Philosophy for Work and Integration of Life and Work Affecting the Career Success of Commercial Bank Employees in Northeastern Thailand
No full textThis research aimed to study the application of the sufficiency economy philosophy in the
workplace and the integration of life and work, and how they affect the career success of
commercial bank employees in northeastern Thailand. The population consisted of commercial
bank employees. The sample included 383 commercial bank employees, selected using stratified
random sampling based on the population proportion in each province of northeastern Thailand.
A questionnaire was used as the research tool. Statistics for data analysis included percentage,
mean, standard deviation, and multiple regression. The results indicated that the application of the
sufficiency economy philosophy at work, particularly in the aspects of reasonableness, knowledge,
and moderation, as well as the integration of life and work in terms of readiness to always work,
significantly influenced the career success of commercial bank employees in northeastern
Thailand. Additionally, the integration of life and work, specifically in the area of work-time
flexibility, also had a notable impact on the career success of these employees
Analyzing and Enhancing Data Management for the E-Library Transaction System
No full textThis study examines the role of information systems in enhancing data management and operational efficiency within library operations, focusing on the case of SMP Negeri 8 Palembang. Information systems are designed to facilitate the management and storage of data, enabling the generation of precise and accurate information. Such systems can minimize errors and improve efficiency and speed in data-related operations, such as borrowing and returning books.The research analyzes the limitations of manual processes currently in place and evaluates the potential benefits of a web-based information system for library book transactions. Using PHP for development and MySQL for database management, the study investigates how such a system can address inefficiencies and error-prone manual processes.Key findings from this research indicate that the implementation of a web-based application significantly enhances the ability of library staff to record and process borrowing and returning transactions, as well as manage student membership data. This analysis underscores the transformative impact of technology in reducing operational bottlenecks and fostering a more efficient, accurate, and user-friendly library management environment at SMP Negeri 8 Palembang. The study not only highlights system development outcomes but also provides insights into the broader implications of integrating technology into library operation
Leveraging Online Learning and Certification Platforms for Technical Skill Development: A Strategy to Mitigate Unemployment
No full textThe key objective of this study is to discover the role of online learning and certification platforms
for technical skill development as a strategy to mitigate unemployment. In the world of information
technology, various online learning and certification systems have proven to be useful in filling in
the skills gap. Using a literature review, this paper explores how these mediums have become a
major cause of reducing the level of unemployment. This paper also discusses tools like Coursera,
edX, Squarespace, and LinkedIn for technical skills development and therefore the employee’s
marketability, thus increasing employment opportunities. These platforms enable people to gain
some of the most sought-after skills in today’s market at a cheaper price and much faster than such
traditional Universities. These platforms provide recognition certificates that enable unemployed
individuals to gain more employment chances, especially in emerging industries such as cloud
computing, Data Science, and IT. Employers and jobseekers will equally benefit from these
platforms and this will help in producing and enhancing a skilled workforce that will lead to
reduced employment rates in the society. Additionally, this paper analyzes skill-based learning
and certifications to meet the shifting demands of the labor market and to offer valuable insights
for policymakers, educational institutions, and employers who seek ways to reduce the level of
unemployment
Inclusive Education in Higher Education Institutions: A Comprehensive Review of Key Components and Framework for Implementation
No full textInclusion' in education, central to Sustainable Development Goal 4 within Agenda 2030, has
gained global prominence. However, its meaning varies widely due to diverse local interpretations,
leading to inconsistent practices. The complexity and lack of comprehensive global documentation
of the concept often results in confusion, with different stakeholders assigning different meanings
to it. This ambiguity challenges the effective implementation of inclusive education policies
worldwide.
This paper aims to outline the various components of inclusive education, drawing on a
comprehensive review of the literature on this concept. The resulting framework is designed to
guide educational institutions in implementing effective inclusive practices.
Initially, inclusive education was mainly associated with catering for students with disabilities and
bridging the gap between special education and mainstream education. However, the concept of
inclusion is much wider in scope.
The right to inclusive education is now defined as a process that shapes culture, practice and policy
within the educational setting. Inclusive education aims to address the diverse needs of individual
students, and to remove barriers that hinders the presence, participation and achievement of
learners. An inclusive approach places emphasis on providing support to groups of learners who
may underachieve or be marginalized or excluded.
This paper identifies key core features of inclusive education through an extensive analysis of
literature and studies focusing on its practical implementation and monitoring. These features
cover various aspects, including the education and learning environment, teacher support, a whole
person approach, respect for value of diversity, stakeholder consultation and collaboration,
partnerships, financing, monitoring and sharing of expertise and resources. The latter components
form a comprehensive framework for understanding and implementing inclusive education
practices.
Implementing inclusive education effectively requires a shared understanding of its meaning. This
paper addresses this challenge by presenting a structured framework of inclusive education
components. By providing this practical guide, the paper aims to facilitate the implementation of
inclusive practices across diverse learning environments. The proposed framework serves as a
valuable tool for institutions seeking to enhance their inclusivity, thus supporting the realization
of Sustainable Development Goal 4
Exploring The Religio-Socio Ethical Dimensions of Ai-Driven Evangelism: Opportunities, Challenges, And Implications
No full textThis paper investigates the impact of AI-driven evangelism, focusing on its religiosocio
ethical dimensions. It highlights the integration of artificial intelligence in religious
practices, addressing its benefits such as broader access to spiritual content, personalized
education, and improved engagement with younger audiences alongside significant challenges,
including concerns over authenticity, empathy, and ethical implications of machine-mediated
guidance. The study stresses the importance of establishing ethical frameworks for AI use
within religious institutions. Recommendations include developing ethical guidelines that align
with theological principles, providing ongoing education for religious leaders on AI, and
engaging congregations in discussions about technology integration. The paper concludes by
advocating for balanced approaches to AI that enhance spiritual experiences while respecting
diverse faith practices. Overall, it emphasizes the necessity for continued dialogue among
religious communities to successfully navigate the complexities introduced by AI in spiritual
life
Enhancing Campus Communication: Advanced ML Techniques for College Chatbots
No full textThis research explores the development and deployment of a college chatbot using
advanced machine learning techniques to enhance communication and support within the
campus community. The chatbot is designed to efficiently handle a variety of student inquiries
by leveraging natural language processing and deep learning models. Through a detailed
methodology, evaluation of metrics, and real-world testing, this study demonstrates how the
chatbot enhances student engagement and administrative efficiency. Challenges encountered
during development included managing ambiguous queries and ensuring data accuracy and
relevance. Future work aims to expand the chatbot's capabilities with personalized interactions,
voice-based queries, and multilingual support to better serve a diverse student body and further
improve functionality.
This research paper provides an analysis of designing, applying, and utilizing a college
chatbot’s powered by advanced ML techniques. The functions demonstrate its prospective to
rationalize campus communication, offering a scalable, efficient, and user-friendly solution to
meet the changing needs of modern educational institutions
GIS-Enhanced Crop Yield Modeling with Machine Learning
No full textIndia, with its vast population and agrarian society, faces challenges in agricultural practices.
Many farmers continue to grow the same crops repeatedly without experimenting with new
varieties. To address these issues, we have developed a system using machine learning
algorithms aimed at helping farmers. Our system recommends the most suitable crops for
specific lands based on soil content and weather conditions. It also provides information on
the appropriate type and number of fertilizers and the necessary seeds for cultivation. By using
our system, farmers can diversify their crops, potentially increase their profit margins, and
reduce soil pollution