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Analysis of the Application of Blockchain and Artificial Intelligence to Overcome Accounting Fraud in Islamic Banking
No full textBlockchain and Artificial Intelligence (AI) are current technologies that provide increased efficiency and performance for all aspects of human life, especially in the Islamic banking sector. This study aims to analyze the concepts of blockchain and AI in accounting and find out the benefits and opportunities when applied simultaneously to accounting information systems in Islamic banking. This study uses a qualitative approach, with basic-research based research by utilizing data sources in credible published papers. This study explains that blockchain and AI can reduce risk and overcome accounting fraud in accounting information systems in Islamic banking. As well as providing transparency, security guarantees and real time transaction recording
Bibliometric Analysis: Developmental Theory of Research Studies The Growth of SMEs in the Last Five Years
Get PDFThis study aims to analyze how research on the growth of SMEs which have been published within a period of five years starting from 2017-2022. This research method is a literature review using a bibliometric analysis approach starting from defining the keywords for micro business growth and 'Journal' in the Publish or Perish application with Google Scholar as the database. After narrowing the results by selecting a special topic. Then compiled meta data using the Vosviewer application which is used to visualize research trends. The results show that the classification of research on MSME growth is divided into 7 clusters of 70 items and 404 links with the colors Red, Dark Blue, Dark Green, Light Blue, Light Green, Orange, and Purple. Research on the growth of micro, small and medium enterprises is mostly carried out in 2017 and at least in 2022. There is still very little research on the growth of MSMEs which is shown in network visualization, Overlay Visualization and Density Visualization Vosviewer
Smart Functional Literacy Using ICT to Promote Mother Tongue Language and Inclusive Development among Ethnic Girls and Women in Northern Thailand
Get PDFThis article reports on the results of a participatory action research study that aimed to explore the socio-economic context, Smart Functional literacy, Language Literacy, and ICT literacy of ethnic girls and women in Northern Thailand. Qualitative research methods were used, including documentary studies, interviews, focus group discussions, observations, and participatory training and work-shops. The first finding revealed that within the three main contexts of ethnic girls and women: (1) most of them come from mountainous farming families and receive primary education in their communities; (2) Smart Functional literacy, particularly when embedded with ICT, was well-liked by participants; (3) Mother Tongue language literacy was decreasing in significance compared to Thai, English, and Chinese languages; and (4) ICT literacy was most accessible and beneficial via smartphones and social media. The second finding indicated that Smart Functional literacy could facilitate gender balance and support all key languages. The top three demanded contents were entrepreneurship skills, Thai language, and smart farming. The third finding shows that integrating Smart Functional literacy with Mother Tongue language improved participants' awareness, facilitated their integration with ICT and heritage and crafts, and enabled inclusive development that met all demands of ethnic girls and women, including their Mother Tongue, resulting in increased pride in storytelling and confidence
The Effect of Concept Visualisation on Critical Thinking Skills in Science Learning Among Malaysian Primary School Children
Get PDFIt was necessary to promote critical thinking skills among students because a lack of critical thinking skills among students had been a persistent drawback in primary science education. According to studies, the idea visual image was used to improve critical thinking skills with some techniques being more practical than others. The study’s goal was to determine whether conception mapping (a conception visual image technique) was an effective technique for developing essential thinking ability in science learning among Malaysian primary school children. For this purpose, students using concept mapping were compared to students using mind mapping (the existing visualisation technique). A quasi-experimental methodology was used with a total of seventy students; thirty-five students in the mind map class and the remaining
was in the concept map class. The concept map class used concept mapping strategy while the mind map class used mind mapping strategy. The two classes were given a
pre-test and a post-test on their science achievement and critical thinking skills. The gain score means for science achievement and critical thinking skill in both groups
were compared using independent t-test and descriptive statistics. In learning science, a satisfaction questionnaire and a behavioural checklist were also used to assess students’ attitudes and interactions with concept mapping and mind mapping. The data analysis results showed that the gain score means for the concept map class were
greater than the gain score means of the mind map class on science achievement as well as critical thinking with p< .05 indicating statistical significance. In addition, students in the concept map class were more positive about the visualisation technique used than students in the mind map class (p< .05). As a result, the findings supported
the conclusion that the concept mapping strategy was more effective in improving students’ critical thinking skills and science learning. Thus, concept mapping was preferred over mind-mapping as a classroom learning tool for science teaching and learning in primary schools to support science learning and the development of critical thinking skills
Enhanced Image Classification for Defect Detection on Solar Photovoltaic Modules
Get PDFSolar photovoltaic modules are a technology that utilizes solar energy. Solar photovoltaic modules have many advantages, such as clean electric energy without pollution, very simple to channelling energy, and the most important is that it does not produce greenhouse gas emissions and can be built in remote areas because it doesn't require energy transmission. In actuality, solar photovoltaic module systems are minimal maintenance and do not require any moving parts, but they still have more chances to get various defects by the environment or human beings. Once PV modules are electrically linked, the performance of the entire system might be impacted by any problem between them. Error-prone areas may be difficult to locate or recognise in a big solar photovoltaic module. A solar photovoltaic modules system can hide it until the whole system collapse or breakdown. On the surface of the photovoltaic modules, solar cell defects are identified based on cell shapes and textures. However, high similarity of characteristics among the shapes and textures has been a major challenge in defect classification process. The objective of this research was to develop and analyse feature extraction used for classification techniques for defect detection of solar photovoltaic modules surfaces. Methodologically, the entire study used a quantitative experiment technique. This research uses the Gaussian Naïve Bayes Algorithm using a ratio of training data and testing data of 70:30 resulting in an accuracy value of 46%. The second algorithm uses K Nearest Neighbour using a ratio of training data and testing data of 95:05 resulting in an accuracy value of 62%. Both methods combine Statistical Feature Extraction and GLCM. Statistical tools provide quantitative information about the intensity distribution of pixels in an image, capturing important statistical properties such as mean, standard deviation, skewness and kurtosis. GLCM, on the other hand, analyses the spatial relationship between pixel pairs and extracts texture features such as contrast, correlation, energy and homogeneity. The accuracy value shows that the KNN algorithm is better when compared to the Naïve Bayes algorithm. Using the same data, these results are compared again using Convolutional Neural Network. The architecture used uses Le Net which is then modified into 3 2D layers and 1 Maxpooling screen. Experiments also compare the size of the image as input, using relu activation and adam optimization. The experiment results in the highest accuracy value at a ratio of 70:30 for training data and test data, which is 68%
Factors Affecting the Academic Performance of Postgraduate Nursing Students in Selected Universities in Pakistan
Get PDFA key factor in the advancement of the nursing profession is nursing education. It helps nurses develop their leadership and management abilities, giving them the chance to take on managerial and administrative responsibilities in healthcare institutions. Nursing students in Pakistan face a unique set of challenges that can impact their academic performance. An Explanatory Sequential Mix-Method study design was used to investigate the interplay of various factors that affect the academic performance of postgraduate nursing students in the selected universities in Pakistan. Building upon the exploration of factors influencing educational grades, this study further inquire strategies to address and mitigate the challenges faced by nursing students. Six medical/health sciences universities in three of Pakistan's province capital cities provided the data. 230 Masters nursing students completed an adopted questionnaire about the challenges faced by postgraduate nursing students. Academic performance was assessed using standards established by Pakistan's Higher Education Commission. Qualitative data was collected by interviewing 12 informants; an interview guide was used. Students’ demographics were calculated by Mean and + SD. The grading point means differences of postgrad nursing students with demographic factors and the impact of student, institution, and supervisor factors nursing student’s grades were computed by ANOVA and t-test. Significance in differences concerning age group was calculated by the Posthoc Tukey test. The relationship between demographics and students, institutional, and supervisor factors was estimated by Pearson correlation. The best predictors among four factors were identified by multiple regression analysis. Thematic analysis was carried out for qualitative data analysis. Key findings of the study indicate a significant mean difference in the academic performance of nursing students and financial support. Furthermore, employment status is found to be the best predictor amongst all student-related factors. Moreover, the qualitative findings of this study are also considerably matched with the results of quantitative analysis as qualitative data collected on the factors affecting students’ academic performance during in-depth-interviews is contextualizing quantitative results. By identifying the challenges faced by this unique student population and interventional strategies, current study provides valuable insights that can inform educational organizations, Government and faculty members. This can lead to the the creation of a more supportive and enriching learning environment for postgraduate nursing students
Industrial Relations Practices in the Malaysian Public Sector: A Case Study of CUEPACS
Get PDFIndustrial relations are a cornerstone in shaping the intricate dynamics between employees, employers, and government entities within a nation's labor landscape. This research paper embarks on a comprehensive exploration of industrial relations practices within Malaysia's public sector, casting a specific spotlight on the Congress of Unions of Employees in the Public and Civil Services (CUEPACS). The primary objective of this study, examining industrial relations practices in Malaysia's public sector from the vantage point of CUEPACS, is to gain a profound understanding, conduct a meticulous analysis, and shed light on the distinctive experiences, hurdles, and contributions of CUEPACS in molding industrial relations within this sector. Employing a qualitative research approach, the study navigates the intricate terrain of industrial relations in Malaysia's public sector through a single-case study framework. Qualitative interviews, taking the form of semi-structured conversations, stand as the linchpin of data collection. These dialogues unfold with senior trade union leaders representing a diverse tapestry of trade unions spanning various employment sectors, complemented by insights from a public representative. The research embarks on its journey by meticulously tracing the historical underpinnings of industrial relations in Malaysia, harking back to the colonial era when trade unions emerged as stalwart responses to exploitative labor practices. The study meticulously underscores key legislative landmarks and milestones that have left an indelible imprint on labor relations in the nation. Furthermore, the research meticulously dissects prominent industrial relations theories, including unitarism, pluralism, and the human resource management perspective. These theoretical frameworks act as prisms, elucidating the ideological foundations of industrial relations in Malaysia's public sector and their resonance with the objectives and endeavors of CUEPACS. The research delves deep into the distinctive challenges confronting Malaysia's public sector, including bureaucratic rigidity, political interventions, and the far-reaching impacts of globalization on the civil service workforce. These challenges serve as crucibles for comprehending CUEPACS' advocacy for the rights and well-being of public sector employees, furnishing valuable insights into the broader landscape within which the organization operates. Moreover, the research interweaves specific case studies and empirical research germane to industrial relations in Malaysia's public sector. These empirical narratives yield invaluable insights into the perspectives and experiences of public sector employees, their engagement with entities like CUEPACS, and the efficacy of collective bargaining mechanisms in addressing their concerns. This research serves as a clarion call, underscoring the paramount importance of grasping the intricacies of industrial relations within the public sector. Its significance extends beyond the realms of academia, encapsulating a pragmatic imperative for policymakers, trade union leaders, and public sector employees alike. This research lays a solid foundation for a deeper exploration of CUEPACS, with subsequent chapters poised to unfurl the organization's history, organizational structure, activities, and the formidable challenges it confronts while championing the interests of public sector workers. The findings of this study in Malaysia's public sector reverberate widely, laying the groundwork for a more profound comprehension of the role played by organizations like CUEPACS in shaping labor relations and advocating for the welfare of public sector employees. It cogently underscores the importance of proactive advocacy for employee rights, the adaptability of labor relations practices to evolving workforce dynamics, and the indelible impact of harmonious industrial relations on organizational triumph
The Influence of Multimedia on Grade 7 Social Studies Students’ Motivation in the Maldives
Get PDFThe purpose of the study is to examine the influence of multimedia on student’s motivation in grade 7 social studies in the Maldives. It is a case study using qualitative method. The objectives of the study are to identify how multimedia influences students’ motivation in learning, to recognize students' perspectives of using multimedia in learning, identify teachers' perspectives of using multimedia in teaching and to study the multimedia teaching methods that incorporated in the class. One of the primary schools in Male’ involving 20 grade 7 students have been purposefully selected. For focus group interviews, 10 participants who had extensive exposure to learning social studies through multimedia were interviewed, while the remaining 10 participants were selected from a class that rarely uses multimedia. Furthermore, 2 teachers who frequently and rarely use multimedia were used for the observation. Qualitative data was collected through a series of ongoing classroom observations of the teachers and students. Interviews with teachers and students were conducted at the beginning and at the end of the data collection phase. Coding and memo writing were used to evaluate data obtained through in-depth field interviews. The findings of this study indicated that lessons conducted in multimedia presentation are much better than the traditional method. Students’ interest, motivation and participation were reported to have increased using multimedia presentation. On the other hand, traditional instruction had no influence on the students’ academic achievement and motivation. The traditional method had difficulties in grasping abstract topics and thus made learning process harder. The multimedia elements used in the multimedia presentation group caused the students to be attentive and enjoyable (satisfaction) while the use of pictures and text, videos and animations influence motivation and enhanced learning. Students in the multimedia group were more involved in the learning process due to increased class participation. The use of multimedia integrated instructional methods, such as multimedia presentations, games, demonstrations and simulations, helps to improve instruction and motivation towards learning
Factors Affecting Financial Reporting for Decision Making Among Selected Small and Medium Enterprises in the Oil and Gas Sector in Malaysia
Get PDFFinancial reporting for decision-making is crucial as it demonstrates the organisation study of costs, expenditures, and cash flow. Given the prevalence of sustainability and
external reporting, it has been expected that financial reporting gains significance among O&G SMEs. While earlier research observed the impact between management characteristics, particularly human capital attributes, and financial reporting responsiveness, the studies on the link between management characteristics and financial
reporting responsiveness have been limited. Moreover, given the importance that managers place on the financial reporting process, specifically after the adoption of
financial activities on managerial skill and financial reporting timeliness, evidence regarding the factors affecting financial reporting for decision-making purposes among Malaysian O&G SMEs is lacking. Therefore, this study aims to investigate the factors affecting financial reporting for decision-making in O&G SMEs. A complete analysis of the literature indicates a significant correlation between the qualification of accounting
staff, managers’ skills, preparation of financial statements, comprehensive financial information, and financial literacy in the financial reporting decision-making among O&G SMEs. This study data was collected through an online survey (Google Forms) of 152 O&G SMEs across Malaysia and Statistical Package for the Social Sciences (SPSS) version 25. The SPSS was also used to test the study hypotheses via multiple regression analysis. As a result, it was found that the accounting staff's qualifications, the managers’ skills, the preparation of financial statements, the availability of comprehensive financial information, and financial literacy directly affected the financial reporting decisions by O&G SMEs. Additionally, the findings demonstrated that the O&G SMEs adopted an optimal level of financial reporting decision-making, with the optimisation of comprehensive financial information, manager skill, and financial literacy as the top priorities. The literature, policy, and management contributions, limitations, and future research suggestions are highlighted
Global Mentoring Circle Program (GMCP) Factors on the Effectiveness of GMCP: The Case of Dell Technologies
Get PDFTechnology is advancing exponentially, and those who can adapt quickly and successfully will prosper in this uncertain world. Studies have shown that investing in
people development will increase performance and productivity, increase engagement and retention and increase in innovation and creativity. This research will be a case
study on understanding an internal program called Global Mentoring Circle Program (GMCP) in Dell Technologies. GMCP was launched 2 years ago and there is no sufficient evidence data to determine what factors have a significant relationship to the effectiveness of the program. GMCP is a group mentoring program where there are 7-8 mentees to a mentor. When the program ends, the mentees will be invited to take the survey to so that the writer can provide a recommendation to the President. A pilot was conducted by inviting 140 managers to join, 127 managers accepted, and 81
managers responded to the survey. The 4 independent variables were tested, which are structure, content, mentor, and mentee. Based on the statistical data, the results show
that the data sets were reliable. Using Pearson’s Correlation Analysis, the results show that the structure, mentor and mentee have a strong correlation with the
effectiveness whereas the content has a weaker correlation with the effectiveness of the program. Multiple regression analysis reveals that the mentor has the strongest relationship, followed by mentees and structure factors. It is also concluded that the content has little bearing on the GMCP's effectiveness. On the effectiveness of the GMCP in their development, 92% of the participants “agree” and “strongly agree” that the program was effective to their development. In summary, the pilot is very successful, and the writer will recommend to the President to go ahead with the program at the global level. Besides that, the framework can be used in any industry and any organization globally. In this regard, this research can be a piece of valuable
information to the organization as well as to future researchers in similar areas