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Enhancing Job Performance through Specialized Training: The Role of Job Satisfaction and Motivation in College and University Office Worker
Full text linkThe effectiveness with which an organization utilizes its human resources is a key determinant of its overall performance. Specialized training programs play a crucial role in enhancing employees' skills and developing new competencies. This study investigates the impact of training on job performance among office workers in college and university settings, with a particular emphasis on how job satisfaction and motivation influence this relationship. The research utilizes secondary data and a structured questionnaire, analyzing responses from a sample of 150 office workers through SPSS analysis software. The study finds a significant positive correlation between training and job performance, indicating that well-designed training programs contribute to improved employee achievement. Furthermore, the study explores how job satisfaction and
motivation mediate the relationship between training and performance. The results reveal that both job
satisfaction and motivation play critical roles in understanding the effects of training on job performance. The
findings highlight the importance of not only implementing effective training programs but also addressing
factors that enhance job satisfaction and motivation. Organizations should focus on creating training programs
that are tailored to employees' needs while also fostering a work environment that supports job satisfaction and
motivation. This dual approach is essential for maximizing the benefits of training and improving overall job performance. The study provides valuable insights for managers and policymakers aiming to design and implement training initiatives that drive performance and employee satisfaction
Exploratory Study on the Acceptance of Mobile Learning in the Commercial Banking Sector
Full text linkIn the era of digitalisation, mobile learning – the use of mobile technologies to access educational content and training – has emerged as a transformative tool with significant potential benefits for various sectors. However, the commercial banking sector in Malaysia faces low adoption rates due to resistance to change, limited awareness, technical barriers, and data security concerns. This study investigates the acceptance of mobile learning among employees in the commercial banking sector, focusing on their attitudes, beliefs, and expectations. Specifically, the research aims to (i) examine the impact of mobile learning on organisational learning and improvement, (ii) investigate the perceived benefits, challenges, and expectations of employees, and (iii) explore the factors contributing to the acceptance of mobile learning. Using a qualitative methodology within the interpretivism paradigm, data were collected through semi-structured interviews, focus group discussions, and document analysis. Participants included decision makers and operational employees from various levels within the sector in the Klang Valley, encompassing Selangor and Kuala Lumpur. Data analysis techniques such as thematic analysis and constant comparative analysis were employed to identify patterns and themes. The findings reveal the perceived impact of mobile learning on organisational improvement, professional development, and operational efficiency, with varying acceptance levels among decision makers and operational employees. Key factors influencing adoption include leadership, training, and user friendly platform. A comprehensive framework is proposed, addressing these factors and providing actionable strategies for successful implementation. In conclusion, this study offers valuable insights and practical guidance for commercial banks aiming to leverage mobile learning. While the findings are specific to a case study within the commercial banking sector in Malaysia, they provide a foundation for future empirical research in other business environments. However, the study's limitations include its focus on a single sector and geographical region, which may affect the generalisability of the findings
Implementation of Hybrid Indexing, Clustering and Classification Methods to Enhance Rural Development Programme in South Sulawesi
Full text linkLimited involvement of communities and village institutions in planning, implementing, and supervising village development activities, as well as difficulty in monitoring development results, resulted in a lot of untapped natural potential in traditionally managed villages due to technological limitations and low levels of education. Development in rural areas faces obstacles from internal factors such as lack of initiative and knowledge among rural communities and external factors such as constraints on government support. Village development and assistance program is a strategy implemented to accelerate socio cultural development to increase the capacity of village governance and more organized administration. The village assistance programme can motivate and engage rural communities during the participatory and transparent phase of village development. The criteria used in this study were produced through the identification, verification, and validation stages by experts consisting of academian, government, and researchers. The objectives of this research are to develop a community standard of living index based on verified criteria collected from selected communities, to cluster the village based on the community standard of living index, to classify a village based on the Developing Village Index(DVI), Human Development Index(HDI), and Community Standard of Living Index(CSLI), and to map the relevant experts with the priority needs of a village based on the input from the villages. The initial stage in this study involved the design of the questionnaire, the process of criteria weighting, and the scoring of villages by communities. CSLI was developed to represent the community welfare level for each village. Clustering techniques such as Self-Organizing Map, Fuzzy C-Means, and Xie-Beny methods are utilized to clustering villages according to the Community Standard of Living Index. The Fuzzy Tsukamoto and Smallest of Maximum methods were then used to classify villages into less development, which involved CSLI-Clusters as indicators. Using the cosine similarity algorithm for knowledge recommendation is village identified, utilizing community feedback as the foundation. Based on the clustering results using CSLI Score, Head of Family, and Number of Residence criteria, it is stated that all villages are divided into 3 clusters, which are CSLI-Good, CSLI-Average, and CSLI-Poor. The classification technique using the CSLI-Cluster, DVI, and HDI criteria showed that as many as 22 villages had the status of Less Development level, and 8 villages were declared Developed. This research identified the following recommended fields: agricultural science in 11 villages, social sciences in 11 villages, economics in 10 villages, entrepreneurship in 8 villages, marine science,forestry, and computers in 11 villages each, and regional planning in 2 villages with 82% accuracy. The result validation of decisions on the placement of accompanying experts in each village with actual data was carried out using the confusion matrix metho, which are accurate = 0.819, precision = 1, recall = 0.819, and F1 Score = 0.9. This shows that the accuracy status indicates a high percentage of correct predictions, and then the F1 Score of 0.9 indicates a well-balanced trade-off between precision and recall, demonstrating the model's overall effectiveness. The government can use the findings of this research as a decision-making tool regarding equitable village development programs
Critical Success Factor Model for the Implementation of Information System in Institutions of Higher Learning in Indonesia
Full text linkThe successful adoption of information systems in institutions of higher learning is a critical factor in enhancing the efficiency, productivity, and competitiveness of institutions higher learning in the digital age. However, the influence of organizational culture, particularly hierarchical culture, on the success of information system adoption remains a complex and underexplored area, especially in the context of institutions higher learning Banten Province, Indonesia. The problem with implementing information systems in private universities is the need for more quality, and the role of the information system has not been optimal in supporting institutional operation, so it does not produce the information needed by top management as a basis for decision- making. This research introduces a critical success factor model for the implementation of information system adoption in institutions of higher learning within the region. The success of an Information System (IS) measurement is a step of extended evaluation as it consists of some steps and dimensions used. Organizational hierarchical support is needed to secure funding. It provides a referral strategy and supports the entire Information System (IS) effort and its implementation to ensure the realization of objectives. This research assessed the hierarchical culture that prevails in institutions of higher learning in Banten Province using surveys, interviews and content analysis. This study also investigated how this culture impacts the success of information system adoption, considering system use, use satisfaction, and system effectiveness. The proposed model integrates organizational hierarchical culture theory elements and DeLone and McLean’s model for adopting information systems successfully. The proposed model combines organizational hierarchical culture theory elements and DeLone and McLean’s theory of successfully adopting information systems. It aims to provide an understanding of the relationship between organizational hierarchical culture and the successful implementation of information systems in the context of institutions of higher learning in Banten Province, Indonesia. The questionnaire was distributed to university leadership respondents using a Google Form link with confirmed reliability and validity. Structural Equation Modeling (SEM) using SmartPLS version 3 software was used to present the data. SEM path analysis shows the central construct relationships in the data. The results obtained from this research indicate the influence of hierarchical culture in organizations on the success of information systems in institutions of higher learning in Banten Province, Indonesia. This research provides a comprehensive picture of organizational hierarchical culture’s influence on the success level in evaluating information systems in higher learning. The proposed model can become a reference for future research, especially at universities where researchers combine the success of information systems and contribute to the progress of higher learning in this new area
Impact of Covid-19 Pandemic on the Construction Industry in Malaysia: Issues and Challenges
Full text linkThe COVID-19 pandemic in Malaysia has left a lasting impact on the construction industry with a suspensions and delays in projects progress and completion schedule that has created uncertainty at present and in the years ahead. It suffered a loss of approximately RM19 billion and also had to bear excess costs which also included more than 4,000 infections at various work sites as of December 2021 making it extremely vulnerable. While the pandemic may have brought with it some silver linings, it is crucial that the industry players to conduct research broadly and openly, lest future pandemic preparedness in research repeat the hard-fought lessons of today. The purpose of this research is to explore, explain and determine the factors that facilitate cause and effect of Covid 19 pandemic to the construction industry with a specific focus on the housing development’s issues and challenges. The study aims to provide a comprehensive analysis of the impact of the COVID-19 outbreak to contractors, developers and/or industrial players in Malaysia, society and the economy and to investigate the preventive measures taken to reduce the impact. Qualitative research approach using a single case study method was adopted for the data collection. The data was collected from multiple sources of evidence which comprised of semi-structured interviews, documentation review, observation and archival records. In-depth interviews were conducted with 50 individuals which comprise of founder, owner, director, shareholder, manager, engineer, consultant and worker of construction and housing development companies. This appropriate study design, collaboration, data collection and data sharing shall enable to unpacks the key responses to the issues and challenges, the efficacy of current initiatives, and summarize the lessons learnt as an update on the information available to the industry, business, authorities and societies. In addition, this research is to develop and evaluate innovative strategies and technologies to improve access to the project management, quality, safety, and cost effectiveness in the construction industry. This report review captures a number of specific suggestions for support. For example, support for the industry players, government, societies, key management and workers, creating safer construction site’s environments, wide-scale financial support, greater awareness around the industry which were badly affected by COVID-19 and putting in place robust processes for learning and reflection on the impact of the pandemic. This report will benefit construction firms, governments, leaders, and customers in addressing a pandemic-like situation in the future
A Model for AI-Based Teaching and Learning Adoption for Elementary School Teachers in West Java, Indonesia
Full text linkArtificial Intelligence (AI) is a computer system that mimics the human brain's ability to process information and make decisions. AI technology is used to learn patterns in
data and make predictions or decisions based on that learning. Based on the current situation, elementary school teachers need help in adopting AI technology due to
limited training, lack of resources, and resistance to change. In order to address this problem, this research aims to identify the factors influencing the adoption of AI
technology among primary school teachers in West Java, Indonesia. The research involved 384 participants and used a quantitative approach. Specific factors influencing AI adoption were identified by developing a model for AI-based teaching and learning and assessing readiness factors. The results from the study identified optimism, innovativeness, insecurity, discomfort, perceived value, perceived trust,
perceived usefulness, and perceived ease of use as factors in the successful adoption of AI among primary school teachers in West Java. The customized adoption model
provides a practical roadmap for integrating AI into teaching and learning processes, highlighting regional specificities while remaining relevant to similar educational challenges worldwide. The assessment of readiness factors provides actionable insights for fostering a supportive environment for technology integration. The study concluded with recommendations for future research and implications for educators, administrators, and policymakers
Security and Privacy Challenges in The Internet of Medical Things (IOMT): A Comprehensive Review
Full text linkAs technology continues to advance at a rapid pace, the Internet of Things (IoT) has emerged as a transformative force in our daily lives, with intelligent devices seamlessly integrated into our homes and workplaces, revolutionizing the way we interact with the world. However, as the IoT has expanded to include medical devices, concerns have arisen over the security of personal information and the potential for data breaches. This paper takes a closer look at the privacy and security challenges that arise with the Internet of Medical Things, exploring potential solutions to safeguard sensitive information from unauthorized access and misuse. The motivation of this review is to provide valuable insights into IoMT's context. It aims to benefit healthcare professionals, data scientists, and technologists. The study covers AI models that maintain patient privacy while enhancing patient care, nuanced techniques for data scientists, and inspiration for building secure and effective IoMT solutions for technologists. Ultimately, it seeks to empower and inform
stakeholders in shaping the future of healthcare through IoMT technologies
Evaluation of the Effectiveness of Government Policy on MSMEs Through Empirical Data Analysis in Lampung
Full text linkMicro, Small, and Medium Enterprises (MSMEs) play an important role in the Indonesian economy, including in Lampung Province. Although the government has issued various policies to support the development of MSMEs, the effectiveness of these policies still needs to be evaluated in depth. This research aims to evaluate the effectiveness of government policies in supporting MSMEs in Lampung through empirical data analysis. The research uses an empirical data analysis approach to evaluate the effectiveness of MSME support policies in Lampung. The analytical method in this research uses literature study through collecting and analyzing secondary data in the form of journal articles, government documents, and other scientific articles about entrepreneurship and MSMEs sourced from libraries. It is hoped that the results of this research will provide a comprehensive evaluation of the effectiveness of government policies in supporting MSMEs in Lampung, as well as identifying supporting and inhibiting factors for policy success. This research found that government policy in supporting MSMEs in Lampung had a positive impact in encouraging the growth of the MSME sector in Lampung. However, there are still challenges that still need improvement, namely lack of socialization, and limited access for MSMEs in remote areas
Pentahelix collaborative analysis through stakeholder engagement in realizing sustainable environmentally based tourism village governance to support the achievements of the Village SDGs
Full text linkSDGs are a combination of universal and sustainable goals, targets, and indicators that can be applied to measure the reality of development, at the global, national, regional, area, and even village levels. Village SDGs are an integrated effort, one of which is to realize networked villages and culturally responsive villages to accelerate the achievement of the SDGs. The importance of a collaborative approach in village development to reduce village disparities, one of which is in the development of tourist villages. This study will analyze the goals and targets of the 17th Village SDGs, namely Partnership for village development through the role of stakeholders with their involvement in the governance of environmentally-based sustainable tourist villages in Tlemang Village, Indonesia. The method used in this study is descriptive qualitative through direct observation, structured interviews, and documentation studies. The results of this study indicate that stakeholder involvement in the process of environmentally-based tourist village governance is carried out by the government, academics, mass media, communities, and the private sector, each of which has a role consisting of policymakers, coordinators, facilitators, implementers, and accelerators. The success of this collaboration has earned Tlemang Village the title of Intangible Cultural Heritage
Deviation in Song Lyrics: A Study How Songwriters Use Deviation to Creative Emotional Resonance, Tell Stories or Convey Messages
Full text linkThis study conducts a discourse analysis of song lyrics to examine the linguistic, discourse, and poetic devices used to create meaning and shape listener interpretation. Analyzing 15 song lyrics, the research reveals patterns of deviation in language use, highlighting how songwriters challenge dominant discourses and create new meanings. The findings provide insights into how language and music intersect and demonstrate how song lyrics can be used to explore complex social and cultural issues. The study's results contribute to our understanding of the role of language and music in shaping our experiences and perceptions, with implications for music therapy, education, and cultural studies. This study is delimited to a qualitative analysis of song lyrics and does not include other music or artistic expression forms. The study focuses specifically on the linguistic, discourse and poetic devices used in song lyrics and does not examine other aspects of music, such as melody, harmony, or rhythm. The study is also limited to analyzing 15 song lyrics and does not claim to represent all song lyrics or genres. The study's findings are also based on critical discourse analysis and may not be generalizable to other research methods or approaches. The study's focus on deviation in language use also delimits the study to examine how songwriters challenge dominant discourses and does not explore other ways language and music intersect