JOURNAL INFORMATION AND TECHNOLOGY MANAGEMENT (JISTM)

ENHANCING ACCOUNTING INFORMATION SYSTEMS: THE ROLE OF CLOUD ACCOUNTING AND TECHNOLOGY IN HOSPITALITY

2024-12-11T16:35:04+08:00

Cloud accounting and technology advances have had a significant impact on the quality of accounting information systems, particularly in the hospitality industry. The integration of cloud accounting into accounting practices has enabled faster and more efficient data processing, leading to increased accuracy and improved operational performance. Furthermore, technology advances have contributed to the development of cloud-based accounting systems, which provide enhanced decision-making capabilities and contribute to higher-quality information systems. These advancements have been instrumental in promoting cost-effectiveness for firms and enhancing firm performance through digital transformation and digital leadership. This study explores the influence of cloud accounting and technological advancements on the quality of accounting information systems within the hospitality industry. With the rapid evolution of technology, cloud accounting has emerged as a transformative tool for enhancing data management and processing capabilities in various sectors. Through a quantitative data analysis, this study aims to provide valuable insights into the evolving landscape of accounting information systems in the hospitality industry in response to cloud accounting and technological advancements. The findings of the study on the effect of cloud accounting and technology advances on the quality of accounting information systems within the hospitality industry have significant contributions towards regulators as they can enhance the policy, government to improve on their decision making, as well as educators to develop curricula that focus on the importance of technology in accounting practices.

A BIBLIOMETRIC ANALYSIS OF COMPUTATIONAL THINKING IN SCIENCE LITERACY FOR EARLY CHILDHOOD EDUCATION

2024-12-26T17:58:35+08:00

This study explores the burgeoning field of Computational Thinking (CT) within Science Literacy for Early Childhood Education, highlighting its increasing significance in developing essential skills for the digital age. Despite the recognized importance of integrating CT in early educational curricula, there remains a substantial gap in comprehensive, empirical studies that map the evolution and impact of this integration. Employing a bibliometric analysis, this research utilized Scopus Analyzer and VOSviewer software to examine scholarly publications and delineate trends and patterns in the literature. A total of 1,027 documents were analyzed to extract data on publication trends, keyword occurrences, and international co-authorship dynamics. The analysis reveals a significant increase in research output over recent years, emphasizing the growing academic and educational interest in CT. The most frequent keywords associated include "computational thinking," "programming," and "educational technology," which are often linked with interactive and interdisciplinary teaching methods enhancing problem-solving and critical thinking skills among early learners. Additionally, the study identifies robust collaborative networks across highly contributing countries like the United States, the United Kingdom, and Taiwan, which are pivotal in advancing the research and application of CT in science literacy. The findings underscore the critical role of CT in early childhood education as a catalyst for developing future-ready skills, suggesting an ongoing need for strategic educational reforms and enhanced teacher training programs to integrate CT effectively into early childhood curricula. The study concludes that while the interest and research in CT are growing, concerted efforts are necessary to optimize its educational implementation and impact.

TIME SERIES PATTERNS RECOGNITION WITH DYNAMIC DATA REDUCTION IN NILM APPLIANCE IDENTIFICATION

2024-12-22T08:28:10+08:00

The convergence of advancements of Internet of Things (IoT) capabilities, cou-pled with the accessibility of inexpensive and user-friendly sensors, has propelled the emergence of various new domains, and one such domain is Non-Intrusive Load Monitoring (NILM). A pivotal aspect of these technological advancements is the identification of appliances through the analysis of disaggregated power consumption signatures. The length of these signatures is contingent upon the frequency of data collection, where higher frequencies correspond to lengthier time series. To address this, we introduce a novel dynamic time series data reduction methodology, tailored to efficiently extract regions of interest from extended time series data. Subsequently, the efficacy of appliance classification using these extracted sub-ranges is assessed through the utilization of Matrix Profile techniques. The experimental validation is conducted utilizing the Plug-Load Appliance Identification Dataset, thus offering a concrete empirical basis for our approach's evaluation and verification. The proposed approach has successfully improved the overall accuracy of identifying the appliances in PLAID dataset with a significant margin as compared to the baseline approach.

THE QUALITY OF HUMAN RESOURSCES AND TRANSPARENCY OF VILLAGE FUNDS ON THE UTILIZATION OF INFORMANTION TECHNOLOGY

2025-01-05T11:08:35+08:00

Organizations, including the village government sector, have faced ethical issues and transparancy issues, and the challenge of providing the best service to society. Village government stakeholders need to be concerned about performance and ensure that excellent corporate governance (GCG) aligns with the central and village government vision. The objective ot this study is examine the role of human resources and transparency of village funds on information technology, then what is the role of information technology as a mediator on the performance of village officials. The population in this study was all village government officials in north luwu regency with a total of 90 villages participating online (Google Form). Structural equation modeling (SEM) is used to test the relationship between variables. The research results show that human resources and transparency of village funds have no effect on information technology. In contrast, information technology has a positive and significant effect on the performance of village officials.

A BIBLIOMETRIC ANALYSIS OF DIGITAL MARKETING RESEARCH IN MALAYSIA

2024-12-11T16:01:06+08:00

This study aims to investigate the landscape of digital marketing research in Malaysia through two key research questions. Firstly, it examines the current publication trends within the field of digital marketing, uncovering evolving research interests from the time span of 1997 to 2024. Secondly, the article analyses the current scientific production and citation patterns of publications on digital marketing in Malaysia. Utilizing bibliometric methods, this study identifies 167 documents from the Scopus database. It presents an analysis of annual scientific production, average citations per year, top 10 source titles, sources' production over time, most relevant authors, most relevant affiliations, and the most frequent words found in the dataset. By providing insights into the state of digital marketing research in Malaysia, this study aims to inform businesses, researchers, and policymakers, offering a foundation for strategic decision-making, guiding research directions, and enhancing understanding of the dynamic landscape of digital marketing in the Malaysian context.

CONTROL OF UPPER LIMB REHABILITATION DEVICES: A BIBLIOMETRIC STUDY

2024-12-26T17:26:30+08:00

The study analyzes research trends, collaboration patterns, and key focus areas in the field of upper limb rehabilitation devices using bibliometric methods. With advancements in robotics and assistive technologies, these devices have become crucial for individuals with upper limb impairments, particularly stroke survivors. However, the rapid increase in publications necessitates a comprehensive understanding of research directions and influential contributions. This study used the Scopus Analyzer and VOSviewer software to examine a dataset of 1,208 publications. The Scopus analyzer provided insights into publication trends and author productivity. At the same time, VOSviewer was employed to map keyword occurrences and co-authorship networks, revealing the main topics and collaborative linkages across countries. The analysis highlights a steady increase in research output from 2015 to 2024, with a slight decline in the last two years, likely due to shifting research priorities or market saturation. Keywords such as "rehabilitation," "stroke," "upper limb," and "exoskeleton" indicate strong interest in assistive technology for motor recovery, while terms like "adaptive control" and "impedance control" emphasize the importance of control mechanisms tailored to patient needs. Additionally, international collaboration networks are led by countries like China, the United States, and Italy, reflecting their high research impact and extensive partnerships. In conclusion, this bibliometric analysis offers valuable insights into the progress and collaborative efforts within upper limb rehabilitation devices research, highlighting the interdisciplinary nature of the field and identifying potential areas for future exploration. This study serves as a reference for researchers aiming to develop further rehabilitation control solutions that enhance the quality of life for patients with upper limb impairments.

APPLICATION ARTIFICIAL NETWORK FROM DATABASE PREDICTED NORMALIZED TEMPERATURE AND HUMIDITY IN ROOM

2024-12-22T08:18:35+08:00

The Artificial neural network is a mathematical model that tries to simulate the structure and functionalities of biological neural networks. A neural network is a machine that is designed to model the way in which the brain performs a particular task or function of interest. Basic building block of every artificial neural network is neuron. Such a model has three simple sets of multiplication, summation and activation. The purpose of this network is to examine neural network and their emerging applications in the field of engineering focusing on control. The network is implemented by using electronic components and is simulated in software on a digital computer. In this work examined the application of neural network for predicted normalized temperature and humidity in room and the learning process. A neural network derives its computing through its massively parallel distributed structure and its ability to learn and generalize. Generalization refers to the neural network’s production of reasonable outputs for inputs not encountered during training or learning. The function of which is to modify the synaptic weights of the network in an orderly fashion to attain a desired design objective. The needs for neural networks, training of neural networks and important algorithms have been discussed. Artificial Neuron is sum function that sums all weighted inputs and bias. At the exit of artificial neuron the sum of previously weighted inputs and bias is passing trough activation function that is also called transfer function. It concluded by identifying limitations, recent advances and promising future research directions.

THE INFLUENCE OF PERSONNEL MANAGEMENT INFORMATION SYSTEMS AND HUMAN RESOURCES COMPETENCE ON SYSTEM USER SATISFACTION THROUGH PROMOTION SERVICE QUALITY

2024-12-30T09:47:16+08:00

The aim of this research is to find out how SIMPEG and human resource competence can provide quality promotion services so that they can provide satisfaction to system users. This research is a quantitative study with a population of 109 which is a combination of employees from the Health Service and the East Luwu Regency Education Service, where the sample was determined using saturated sampling where the entire population was sampled. Data collection uses a questionnaire that has been tested using validity and reliability tests. The data that has been collected will be subjected to descriptive and verification tests using the SmartPLS statistical tool. SIMPEG has a direct positive and significant effect on the quality of promotion services but is not significant on user satisfaction, while the quality of promotion services is able to mediate the relationship between SIMPEG and user satisfaction. Human resource competency has a positive and significant effect on the quality of promotion services and user satisfaction. Service quality has also been proven to be able to mediate the relationship between competency and user satisfaction. The conclusion of this research is that the important role of the use of information systems, in this case SIMPEG, is considered capable of providing satisfaction with promotion services for employees, especially for employees of the Health Service and Education Service. Increasing human resource competency is important in providing promotion services to employees in the Health Service and Education Service so that it can increase employee 3nd system user satisfaction.

OPTIMIZATION OF NEW CONSTRUCTIVE HEURISTIC ALGORITHMS FOR PERMUTATION FLOW SHOP SCHEDULING PROBLEM

2024-12-26T16:57:47+08:00

This paper presents a new heuristic designed specifically for minimizing makespan in scheduling problems. The proposed approach incorporates a dual bottleneck phase combined with a pre-initial arrangement to enhance optimization of new heuristic. By introducing both major and minor bottleneck identification phases, the heuristic effectively identifies critical processing machines with significant completion times. To evaluate the performance, this study employed the Taillard benchmark and the upper bound (UB) makespan as comparative tools, assessing the new heuristic against the well-known NEH heuristic. Computational results clearly demonstrate that the new heuristic significantly outperforms the NEH heuristic in reducing the total completion time. The consistent lower RPD values and negative percentage errors indicate that ICHA is more effective in approaching the optimal makespan as indicated by the Taillard UB.

A BIBLIOMETRIC ANALYSIS: AI-DRIVEN DATA PLACEMENT OPTIMIZATION IN CLOUD REPLICATION ENVIRONMENTS

2024-12-11T17:25:47+08:00

Data placement strategy using artificial intelligence (AI) in cloud replication environments has garnered significant attention in recent years. Several studies have examined this area, aiming to enhance data replication techniques by integrating AI algorithms. There is still a minimum number of studies that have discovered the trending of the existing literature that reveals cloud replication leveraging artificial intelligence techniques in the current body of knowledge. This study explores this field's significance and relevance through a bibliometric analysis, particularly its integration with artificial intelligence (AI) techniques. The study highlights key trends and developments, highlighting the collaborative potential between cloud replication and AI technologies. The outcome of this study contributes to practitioners and researchers in evaluating and identifying potential areas for future exploration in AI-driven data placement optimization in cloud replication environments.

THE EFFECT OF INTEGRATING IOT SYSTEM IN THE SMART FARMING OF RED ONION (ALLIUM CEPA)

2024-12-29T11:44:39+08:00

Smart farming is pivotal in advancing agriculture, offering innovative solutions to optimize crop yields and monitor plant growth. This study proposes the use of the Internet of Things (IoT) in smart farming to determine the optimal watering interval for red onions (Allium cepa). The system incorporates Arduino technology, utilizing a water pump and humidity sensor for automated irrigation. Three watering schedules were tested: 8, 12, and 18 hours. The results indicate that an 8-hour interval yielded the highest growth (3.5 ± 1.20 cm) within three weeks, followed by 12 hours (3.4 ± 1.33 cm) and 18 hours (2.0 ± 0.67 cm). Factors such as soil type, nutrition, and environmental conditions may influence these outcomes. Future work, including greenhouse cultivation, is suggested to enhance data precision and agricultural productivity.

EXPLORING THE ETHICAL ISSUES ABOUT AI IN ART AND DESIGN IN SI CHUAN, CHINA

2024-12-24T12:50:53+08:00

This study explored the ethical challenges posed by the application of Artificial Intelligence (AI) technology in the field of art and design. With the rapid development of AI technology, it had a profound impact on the art and design industry but had also raised a range of moral and ethical issues including personal privacy, data security, attribution of responsibility, prejudice and discrimination, employment issues, economic inequality, ethical principles and values, disinformation and manipulation. This study aimed to identify and understand the ethical challenges that may be encountered when AI technologies were applied in art and design, including the impacts on attribution of artistic creations, copyrights, cultural diversity, and personal privacy, and to propose solutions and strategies. Through quantitative research on art and design students in Sichuan, China, the results showed that students generally expressed concerns about the ethical risks of AI application in art and design. This study emphasised the need for art and design education to pay attention to the ethical issues posed by AI, and to train students as both technology users and moral guardians, promoting innovation while safeguarding ethics and social responsibility.

ADAPTASI WARGA EMAS TERHADAP TEKNOLOGI: KAJIAN TENTANG PENGGUNAAN DAN CABARAN

2024-12-11T16:56:44+08:00

Dalam era revolusi digital, teknologi telah menjadi elemen penting dalam kehidupan seharian, merentasi pelbagai generasi. Warga emas, yang pada awalnya mungkin kurang terdedah kepada kemajuan teknologi, kini semakin digalakkan untuk memanfaatkan teknologi dalam pelbagai aspek kehidupan, seperti komunikasi, kesihatan, dan urusan kewangan. Kajian ini bertujuan untuk menilai tahap adaptasi warga emas terhadap teknologi serta mengkaji cabaran yang mereka hadapi dalam penggunaan teknologi terkini. Melalui pendekatan kuantitatif, soal selidik diedarkan kepada 30 responden berumur 60 tahun ke atas. Hasil kajian mendapati bahawa walaupun sebahagian besar warga emas telah mula menggunakan teknologi dalam kehidupan harian mereka, terutamanya aplikasi komunikasi dan kesihatan, mereka masih menghadapi cabaran seperti kesulitan memahami fungsi teknologi yang kompleks, kekurangan literasi digital, serta kebimbangan terhadap keselamatan dan privasi dalam talian. Walaupun demikian, majoriti responden menyedari manfaat signifikan teknologi dalam meningkatkan kualiti hidup mereka, terutamanya dalam kekal berhubung dengan keluarga dan memantau kesihatan. Kajian ini mencadangkan supaya program latihan yang lebih terfokus dan bantuan teknikal disediakan untuk membantu warga emas menyesuaikan diri dengan teknologi secara lebih efisien dan selamat.

In the era of digital revolution, technology has become an essential element in everyday life, spanning across various generations. The elderly, who were initially less exposed to technological advancements, are now increasingly encouraged to utilize technology in various aspects of life, such as communication, health, and financial matters. This study aims to assess the level of adaptation among the elderly to technology and to examine the challenges they face in using current technology. Using a quantitative approach, a survey was distributed to 30 respondents aged 60 and above. The results showed that while most elderly individuals have started using technology in their daily lives, particularly communication and health applications, they still face challenges such as difficulties in understanding complex technology functions, lack of digital literacy, and concerns about online safety and privacy. Nevertheless, the majority of respondents recognized the significant benefits of technology in improving their quality of life, especially in staying connected with family and monitoring their health. This study suggests that more focused training programs and technical assistance should be provided to help the elderly adapt to technology more efficiently and safely.

A TREND IN PUBLISHING ARTIFICIAL INTELLIGENCE PERSONALIZED EDUCATION: ENHANCING LEARNING EXPERIENCES FOR UNIVERSITY STUDENTS

2024-12-29T11:37:21+08:00

This bibliometric analysis explores the emerging landscape of Artificial Intelligence (AI) in personalized education, revealing a significant growth in research publications from 2004 to 2024. The study examines research trends, publication patterns, and collaborative efforts across disciplines, with findings indicating a sharp increase in publications from 200 per year in 2020 to a projected 500 by 2024. Analyzing data from Scopus, the research highlights AI's transformative potential in higher education, with Social Sciences (46%) and Computer Science (23.3%) dominating the publication landscape. Key themes include personalized learning, adaptive learning technologies, and integrating advanced tools like ChatGPT while addressing critical ethical considerations around data privacy and responsible AI implementation. The global research ecosystem, led by the United States, United Kingdom, and China, demonstrates a collaborative approach to developing AI-driven educational solutions that promise to enhance individual learning experiences and outcomes for university students.

EXPERIENCES AND CHALLENGES OF INTELLIGENT REMOTE CONTROL BREAKER (IRCB) DEVELOPMENT

2024-12-22T08:33:12+08:00

The growing adoption of digital technologies in power distribution networks has highlighted limitations in traditional substation circuit breaker (CB) control methods, particularly their dependence on dedicated hardware and complex installations. This study addresses these challenges by proposing an alternative solution for Remote Circuit Breaker (RCB) control using mobile devices. The primary objective is to simplify and enhance the operational flexibility of circuit breaker control without requiring extensive infrastructure modifications. The proposed method utilizes mobile devices equipped with a Human-Machine Interface (HMI) that connect directly to network ports located outside power distribution substation buildings. This approach minimizes the need for additional hardware installations and reduces operational complexity. Preliminary findings demonstrate that this solution provides reliable control capabilities while maintaining ease of deployment and cost-effectiveness. The results suggest that adopting mobile-device-based RCB control can significantly streamline substation operations and contribute to the modernization of power distribution systems.

3D ADVENTURE GAME DEVELOPMENT: CHINESE TRADITIONAL TRAIL

2024-12-11T16:19:45+08:00

As younger generations become more detached from their cultural heritage, there is a growing need for innovative solutions to make learning about traditions more engaging and accessible. This study addresses the challenge of preserving and promoting traditional Chinese customs and culture in an increasingly digital and globalized world. The primary objective of this research is to design and implement a digital tool that promotes the popularization of Chinese culture, making it accessible to users in different cultural contexts. By blending entertainment with education, the game aims to overcome the challenges of cultural detachment and create a meaningful connection between users and Chinese heritage. To tackle this issue, this study proposed and developed a 3D adventure game to introduce users to traditional Chinese customs through interactive and immersive gameplay. The game is built using Unity3D for its versatile game development capabilities, while Blender is utilized for scene design. Users can explore these environments, interact with cultural objects, and receive detailed information on customs, activities, and artifacts, fostering a deeper understanding of Chinese traditions. Grounded on feedback from users, the developed 3D Chinese Traditional Trail game enhances realism and engagement, providing an interactive platform that encourages learning through exploration.

DIGITAL TOOLS FOR ENHANCING ARABIC VOCABULARY ACQUISITION: A BIBLIOMETRIC ANALYSIS

2024-12-26T17:47:10+08:00

The study provides a bibliometric analysis of research on "Digital Tools for Enhancing Arabic Vocabulary Acquisition," aiming to understand emerging trends, influential contributors, and international collaborations in this domain. With the rapid growth of digital language learning tools, particularly for Arabic—a language with unique linguistic characteristics—there is a need to assess the research landscape and identify key focus areas. Despite increasing attention to Arabic vocabulary acquisition, a gap persists in systematically analyzing the scope and impact of digital interventions. This analysis uses data retrieved from the Scopus database, totaling 1,166 documents, with VOSviewer and Scopus Analyzer tools employed to visualize keyword trends, co-authorship patterns, and citation networks. Findings reveal a steady increase in publications over the years, with a sharp rise after 2020, likely spurred by the COVID-19 pandemic's push towards digital learning solutions. Prominent keywords include "language acquisition," "digital game-based learning," and "artificial intelligence," indicating a shift towards integrating interactive and adaptive technologies in Arabic language education. The United States, China, and the United Kingdom are identified as leading contributors, with significant collaborations also evident across European and emerging countries. This diverse global research network highlights a collaborative approach to addressing challenges in Arabic vocabulary acquisition. Overall, the analysis underscores the growing importance of digital tools in enhancing Arabic vocabulary learning, pointing towards an evolving field where foundational language acquisition theories intersect with technological advancements. This study offers valuable insights for educators, researchers, and policymakers interested in fostering Arabic language acquisition through innovative digital solutions.

AUGMENTED REALITY BASED VISUAL ATTENTION AND WORKING MEMORY ANALYSIS FOR CHILDREN USING COMPUTER VISION

2024-12-22T08:22:36+08:00

The mental learning arrangement of children and the impact of visual attention make computer vision researchers extremely inquisitive. Understanding child psychology in the early stage is one of the significant factors for their smooth mental growth which includes thinking patterns, learning styles, and psychological development. Visual inclining is one of the primary drivers of mental advancement in a child where the visual system is constrained by the subject’s eye. In this context, the idea of visual attention in children could uncover new learning patterns by means of the visual framework which is addressed by this research. Previous researchers attempted to discover various aspects in this context such as kid improvement, conduct acknowledgment, and field of intrigue where they did not use computer vision and augmented reality technology adequately. This research presents a rigorous investigation to learn about children's psychological development through assigning interactive tasks to children. For this, this research developed a computer vision-based augmented reality system that gets a grouping of videos and identifies data from participating individuals. In this context, this research audited the coordination of eye, head, and hand developments amid the execution of a block copying assignment. Overall experimental investigation performed by this research presents a significant pattern to understand children's phycology. The impacts of the proposed investigation using computer vision-based augmented reality will contribute significantly to design improved education materials for children from an early stage.

DEEP LEARNING-BASED CLASSIFICATION OF TOXIC ONLINE COMMENTS USING LONG SHORT-TERM MEMORY (LSTM) FOR SENTIMENT ANALYSIS

2024-12-31T15:16:39+08:00

Toxic online comments have become a growing issue, spread hate and negativity, and create hostile environments that discourage constructive dialogue in online communities. They can lead to psychological distress for individuals, reduce user participation, and harm the reputation of platforms. Thus, the study aims to identify different types of toxic comments and determine whether they are positive, negative, or neutral. Analyzing various articles revealed key types of toxicity, such as obscenity, threats, severe toxicity, identity hate, and insults. A dataset comprising approximately 159,000 comments from an open-source website, specifically Wikipedia’s talk page edits and thoroughly cleaned the dataset through pre-processing. Sentiment analysis was performed using the VADER Lexicon to understand sentiment polarities in these comments. Additionally, two deep learning approaches, LSTM and LSTM with GloVe word embeddings, were tested to compare the performance of both models. The data was split into an 80:20 ratio for training and testing, and tested different hyperparameters: batch sizes of 32, 64, and 128, and epochs set at 5, 10, and 15. The best results were achieved from LSTM with GloVe word embeddings, yielding an accuracy of 0.904, with a batch size of 64 and 5 epochs, and the highest precision recorded at 0.89. While the findings are promising, there is potential for improvement, including comparisons with other deep learning methods and alternative word understanding techniques.

PENILAIAN APLIKASI PEMBELAJARAN SOKONGAN PELAJAR BERASASKAN REKA BENTUK PERSUASIF

2024-12-11T15:34:49+08:00

Pembelajaran abad ini berhadapan dengan cabaran besar terutama sewaktu pandemik. Pembelajaran dalam talian merupakan antara faktor penurunan prestasi pelajar yang disebabkan oleh hilang fokus, kurang motivasi, tekanan serta gangguan psikologi. Keadaan ini menyebabkan motivasi dan sikap pelajar terhadap pembelajaran menurun. Permasalahan ini dapat diselesaikan dengan sokongan teknologi pembelajaran yang mampu mengukuhkan sikap pelajar terhadap pembuatan keputusan serta meningkatkan pengalaman pembelajaran, prestasi dan motivasi. Media komunikasi seperti audio video didapati masih kurang memenuhi keperluan dalam meningkatkan tahap pengalaman pembelajaran pelajar. Teknologi pembelajaran berasaskan persuasif perlu dibangunkan khusus bagi mensasarkan perubahan sikap pelajar dalam pembelajaran berkesan. Kajian ini dilakukan bagi menguji aplikasi sokongan pembuatan keputusan TemanKajianKu (TKK) sebagai alatan pembelajaran kendiri berasaskan reka bentuk persuasif. Antara prinsip persuasif yang akan dikaji adalah seperti prinsip pengurangan, penyesuaian, pelaziman, dan pemantauan kendiri. Skop pengguna sasaran adalah dalam kalangan pelajar universiti. Hasil kajian menunjukkan respon positif pengguna prototaip aplikasi TKK dengan cadangan penambahbaikan. Selain itu, responden juga menyatakan aplikasi TKK mampu memberikan pengalaman pembelajaran positif dan berpotensi mengukuhkan pengalaman pembelajaran berkesan. Kepentingan kajian ini juga adalah sejajar dengan TERAS UKM yang memacu kepada Pendidikan 4.0 dalam penerapan pengalaman pembelajaran berkesan.

Learning in this century faces significant challenges, especially during the pandemic. Online learning is one of the factors contributing to the decline in student performance due to loss of focus, lack of motivation, stress, and psychological disturbances. This situation has led to a decrease in students' motivation and attitudes towards learning. This problem can be addressed with learning technologies that can strengthen students' attitudes towards decision-making and enhance learning experiences, performance, and motivation. Communication media such as audio and video are still insufficient to meet the needs of improving students' learning experiences. Persuasive-based learning technology needs to be developed specifically to target changes in student attitudes for effective learning. This study was conducted to test the decision-support application, 'TemanKajianKu' (TKK), as a self-learning tool based on persuasive design. Among the persuasive principles to be studied are the principles of reduction, adaptation, conditioning, and self-monitoring. The target user scope is university students. The results of the study show positive responses from users of the TKK application prototype, with suggestions for improvements. Additionally, respondents stated that the TKK application can provide a positive learning experience and has the potential to strengthen effective learning experiences. The importance of this study is also in line with UKM's core objective, which drives Education 4.0 towards implementing effective learning experiences.

THE IMPACT OF MATHEMATICAL MODELING ON AIR TRAFFIC CONTROL EFFICIENCY: A COMPREHENSIVE STRUCTURED REVIEW

2024-12-26T17:09:12+08:00

Air travel is crucial for global connectivity, yet it faces increasing challenges due to rising air traffic volumes and complex operational demands. Mathematical modeling has emerged as a transformative solution in air traffic control (ATC), enhancing efficiency and safety across the aviation sector. This review delves into the application and outcomes of mathematical models in ATC by analyzing recent literature that incorporates various computational techniques for optimizing air traffic flow, predicting and mitigating conflicts, and improving decision-making processes. In order to attain this, we thoroughly searched scholarly articles from well-known databases, for instance, Scopus as well as IEEE articles published in the last decade, focusing on studies that demonstrated clear numerical results regarding the effectiveness of mathematical modeling in ATC operations. The flow of the study is based on the PRISMA framework. By analyzing a comprehensive selection using an advanced searching approach on Scopus and IEEE database found (n=22), the final primary data was analyzed. The review highlights significant advancements, such as the development of algorithms capable of optimizing flight paths, reducing airspace congestion, and enhancing fuel efficiency, which collectively contributes to more sustainable aviation practices. The findings are divided into four themes, which are (1) optimization of ATC operations, (2) route and flight scheduling optimization, (3) resilience and robustness in atm systems, and (4) technological advances and their integration in air traffic management (ATM). Conclusively, mathematical models have proven indispensable for maximizing ATC efficiency and are pivotal in guiding strategic planning and policy-making to accommodate future air traffic growth while maintaining high safety standards.

MENEROKA KESEDARAN TERHADAP TEKNOLOGI IMERSIF: POTENSI DAN CABARAN

2024-12-11T17:37:21+08:00

Teknologi imersif, seperti Realiti Maya (VR) dan Realiti Terimbuh (AR), semakin mendapat perhatian dalam sektor pendidikan di seluruh dunia, termasuk di Malaysia. Kajian ini bertujuan untuk meneroka tahap kesedaran dan penerimaan teknologi imersif dalam kalangan guru, pelajar, dan kakitangan pendidikan di Negeri Perlis. Kajian ini juga mengenal pasti strategi yang berkesan untuk meningkatkan pelaksanaannya dalam bilik darjah. Data kajian dikumpulkan melalui soal selidik yang melibatkan 90 responden daripada kakitangan sektor pendidikan, guru dan pelajar. Dapatan kajian menunjukkan bahawa teknologi imersif berpotensi besar untuk meningkatkan tahap penglibatan pelajar serta memudahkan pemahaman terhadap konsep-konsep yang kompleks dalam mata pelajaran disekolah. Responden menyatakan bahawa penggunaan AR dan VR telah menjadikan pembelajaran lebih menarik dan interaktif, sekaligus meningkatkan motivasi pelajar. Walau bagaimanapun, terdapat beberapa cabaran yang dikenal pasti, antaranya kos peralatan yang tinggi, kekurangan latihan untuk guru, dan masalah teknikal seperti kesukaran mengakses teknologi di kawasan luar bandar. Kajian ini turut mencadangkan beberapa strategi untuk mengatasi cabaran-cabaran tersebut, termasuk memperluaskan akses kepada peralatan teknologi imersif melalui kerjasama dengan pihak kerajaan dan sektor swasta, serta menyediakan latihan komprehensif kepada guru-guru agar mereka lebih bersedia mengintegrasikan teknologi ini ke dalam pengajaran. Tambahan pula, kurikulum harus disesuaikan agar selari dengan penggunaan AR/VR dalam mencapai objektif pembelajaran. Namun demikian, teknologi imersif berpotensi untuk memperbaiki pengalaman pembelajaran dan meningkatkan motivasi pelajar, namun usaha yang lebih agresif diperlukan untuk memastikan kejayaan pelaksanaannya dalam sistem pendidikan di Malaysia terutama di negeri Perlis.

Immersive technologies, such as Virtual Reality (VR) and Augmented Reality (AR), are gaining increasing attention in the education sector worldwide, including in Malaysia. This study aims to explore the level of awareness and acceptance of immersive technologies among teachers, students, and educational staff in Perlis. It also identifies effective strategies to enhance its implementation in the classroom. Data for this study was collected through a survey involving 90 respondents from the educational sector, including teachers and students. The findings indicate that immersive technologies have great potential to enhance student engagement and facilitate understanding of complex concepts in school subjects. Respondents reported that the use of AR and VR has made learning more engaging and interactive, thus increasing student motivation. However, several challenges were identified, such as the high cost of equipment, lack of training for teachers, and technical issues, including difficulties in accessing the technology in rural areas. This study also proposes several strategies to address these challenges, including expanding access to immersive technology equipment through collaborations with the government and private sectors, and providing comprehensive training to teachers to better prepare them for integrating this technology into their teaching. Additionally, the curriculum should be adjusted to align with the use of AR/VR to meet learning objectives. Nonetheless, immersive technologies hold great potential to improve the learning experience and increase student motivation, but more aggressive efforts are needed to ensure its successful implementation within the education system in Malaysia, particularly in Perlis.

KEBERKESANAN LAMAN WEB ULPL@POLINILAI: PENGURUSAN MAKLUMAT LATIHAN DAN PEMBANGUNAN PENGURUSAN KAKITANGAN

2024-12-30T09:12:58+08:00

Latihan dan pengurusan pembangunan kakitangan yang berterusan adalah penting untuk mengekalkan kelebihan daya saing dalam persekitaran kerja. Ia juga dapat meningkatkan kecekapan serta kepuasan kerja kakitangan. Unit Latihan & Pendidikan Lanjutan merupakan unit di bawah bahagian sokongan akademik yang bertanggungjawab untuk menganjurkan Kursus Dalam Perkhidmatan , merancang dan mengurus program Pembelajaran Sepanjang Hayat serta mengurus kemudahan pengurusan di ULPL. Pembangunan laman web maklumat latihan dan pembangunan kakitangan ini dibangunkan untuk membantu menyediakan maklumat yang komprehensif dan teratur merangkumi pengurusan latihan, kemudahan dan perkhidmatan diberikan. Objektif bagi penyelidikan ini adalah untuk mengenal pasti tahap keberkesanan laman web ULPL@POLINILAI melalui persepsi kebergunaan dan persepsi kemudahan penggunaan laman web. Kajian ini berdasarkan sumber utama dan menggunakan teknik persampelan bertujuan yang memfokuskan kepada pengguna perkhidmatan ULPL dari November 2023 hingga Mac 2024. Hasil kajian dianalisis menggunakan perisian Statistical Packages for The Social Sciences 25.0 bagi memenuhi objektif kajian. Dapatan menunjukkan keberkesanan laman web melalui persepsi kebergunaan dan persepsi kemudahan pada tahap tinggi. Ia mendapati laman web ULPL@POLINILAI berkesan untuk pengurusan kursus dalaman dan luaran, pengurusan PSH, dan pengurusan kemudahan. Ia juga sejajar dengan kemajuan teknologi semasa dengan laman web ini lebih mudah dalam kebolehcapaian maklumat kepada kakitangan.

Ongoing training and management of staff development is essential to maintaining a competitive edge in the work environment. It can also increase the efficiency and job satisfaction of staff. The Training & Continuous Education Unit is under the academic support division responsible for organizing In-Service Courses, planning and managing Lifelong Learning programs, and managing management facilities at ULPL. The development of this training and staff development information website was developed to help provide comprehensive and organized information covering training management, facilities, and services provided. The objective of this research is to identify the level of effectiveness of the ULPL@POLINILAI website through the perception of usefulness and the perception of ease of use of the website. This study is based on primary sources and uses a purposive sampling technique that focuses on ULPL service users from November 2023 to March 2024. The results of the study are analyzed using Statistical Packages for The Social Sciences 25.0 software to meet the objectives of the study. Findings show the effectiveness of the website through the perception of usefulness and the perception of convenience at a high level. It found the ULPL@POLINILAI website effective for internal and external course management, PSH management, and facility management. It is also in line with current technological advances with the website being easier in the accessibility of information to staff.

BUILDING INFORMATION MODELLING IN CONSTRUCTION: CHALLENGES AND IMPROVEMENT OF FACILITIES MANAGEMENT

2024-12-26T16:42:42+08:00

This research aims to investigate the challenges of BIM adoption in facilities management and suggest improvements in facilities management. Interview sessions were conducted with six construction experts who have been construction experts in the construction field for at least ten years. The research collected several challenges to the adoption of BIM in facilities management, which include limitations in the adoption of BIM in facilities management and integration of BIM to transfer information and data to the facilities maintenance stage. The improvements suggested by the respondents were converting the facilities management process, which currently is manual, into a digital tool, and cultivating BIM talents and BIM teams,

A REVIEW ON SMART HOME DESIGN AND TECHNOLOGY FOR ELDERLY

2024-12-11T17:09:25+08:00

The global elderly population is rapidly increasing, presenting significant challenges in providing suitable housing and care services, particularly in Eastern and South-Eastern Asia. This study explores the potential of smart home technologies, Internet of Things (IoT), and artificial intelligence (AI) in addressing the needs of the aging population, focusing on enhancing quality of life and supporting aging in place. The research examines three key areas: (a) architectural design considerations for elderly-friendly smart homes, emphasizing ergonomics, accessibility, and psychological well-being, (b) integration of IoT technologies for health monitoring, safety features, and emergency response systems, and (c) the role of AI in predictive healthcare and enhancing overall care delivery. The study also addresses ethical considerations, implementation challenges, and the importance of user-centered design in the adoption of these technologies.

THE EFFECT OF DIFFERENT COLOUR LEDS ON DATA TRANSMISSION

2024-12-29T11:41:16+08:00

Visible light communication (VLC) is a communication method where light is utilized as a medium of communication for data transmission. VLC is also regarded as a viable technique for indoor applications, assisting Wi-Fi to handle the spectrum crunch. This study aims to investigate the effect of different LED colours towards the distance and efficiency of data transmission with solar panels as a receiver. The experiment entailed gathering and inspecting components such as Arduino UNOs, solar panels, and LEDs, as well as replacing damaged or poorly kept ones to ensure correct operation and efficient debugging. A program was uploaded to the Arduino UNO boards to handle data transmission, including noise cancellation and ensuring synchronisation. Red, yellow and green LEDs are used as a transmitter light source. The experiment was conducted in a dark room as minimum ambient light noise is required to ensure accurate results. The study concluded that red colour LED could transmit the data at a longer distance than the other two colours but with low efficiency. It shows that light intensity and light sensitivity of the solar panel play a crucial role in data transmission performance.

MODEL CONSTRUCTION AND CULTIVATION PATH OF DIGITAL LITERACY OF CHINESE NEWSPAPER EDITORS

2024-12-24T12:34:12+08:00

In the context of digital development, improving the digital literacy of all people has become the foundation for the development of China's digital economy. The objective of this study is to develop a digital literacy model for Chinese newspaper editors and propose practical paths to improve digital literacy, thereby providing opportunities for them to enhance professional capabilities and promote the integrated development of the publishing industry in the digital age. This study is a concept paper which adopted a descriptive qualitative research method to analyze the necessity and urgency of improving the digital literacy of Chinese newspaper editors, summarized the global definition and framework of digital literacy, and constructed a digital literacy model for Chinese newspaper editors. It includes four dimensions: digital awareness, digital competence, digital practice, and digital development, presenting a progressive relationship. Based on this model, strategies for cultivating and improving the digital literacy of Chinese newspaper editors were proposed, including: cultivating digital awareness, improving digital competence, strengthening digital practice, and achieving digital development.