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Investigating success factors of women entrepreneur in Pasar Besar Siti Khadijah Kota Bharu
Get PDFThis study investigates the factors that influence the success of women entrepreneurs through an Islamic lens, focusing specifically on businesswomen at Pasar Besar Siti Khadijah in Kota Bharu. The research explores how entrepreneurial skills, business experience, ethical values in Islam and Islamic financial literacy contribute to business outcomes. Based on survey data collected from local traders, the analysis shows that entrepreneurial skills, experience and financial literacy grounded in Islamic principles significantly support business success. However, ethical values in Islam did not show a direct statistical impact, suggesting that while these values remain deeply embedded in daily practice, they may not serve as a distinguishing factor for success in this context. The study reflects the unique environment of Pasar Siti Khadijah, where cultural norms and practical experience intersect closely with business activities. The findings offer useful insights for future programs aiming to support women entrepreneurs, while also acknowledging limitations such as the specific sample location, the use of self-report surveys and the narrowed focus on selected variables
Development of predictive modeling for suicidal ideation using analytic hierarchy process and data mining approaches in Malaysia
No full textSuicide is a global public health concern, claiming over 720,000 lives annually and standing as the second leading cause of death among young adults. In Malaysia, there are approximately 250 Malaysians attempt suicide each day and at least three fatalities are recorded. Nevertheless, only few studies have explored the factors driving suicidal ideation in young adults or predicted its likelihood. This study seeks to identify and rank the key factors influencing suicidal ideation among Malaysian young adults. Subsequently, the individuals are segregated into distinct groups based on their risk profiles. Finally, predictive models are developed to anticipate the likelihood of experiencing suicidal ideation. This study employed two sets of questionnaires. The first questionnaire was used to rank the influential factors using Analytic Hierarchy Process whereas the second questionnaire was designed to develop a predictive model for assessing the tendency toward suicidal ideation. Stratified sampling was first implemented to determine the sample size for each state and the respondents were then selected randomly from each state. A total of 891 valid responses were obtained. The findings revealed that previous suicide attempts, negative life events, and financial problems were the most influential factors for suicidal ideation. Young adults were successfully segregated into three distinct clusters, representing lower, moderate and higher risk groups using cluster analysis, providing valuable insights into population characteristics. Results showed that Decision Tree using Gini index with three branches outperformed the other predictive models by achieving the lowest misclassification rate. Integrating decision-making frameworks and data mining supports evidence-based decisions that strengthen public health policies and assist healthcare professionals in timely intervention. The findings also contribute to protecting vulnerable populations while promoting societal harmony and public health which aligns with Malaysia’s National Health Polic
Relationship between emotional intelligence and work performance among UAE’S police officers: the mediating role of work engagement and resilience
Get PDFSecurity is regarded as one of life's fundamental requirements; therefore, police institutions are one of the primary pillars of a safe and stable society, especially in the sectors of identity, nationality, customs, and port security. Thus, scholars and practitioners indicate that a low level of police officials' performance is currently one of the most alarming social and economic problems. Therefore, the current study explores the correlation among emotional intelligence ability (EI-ability), work engagement (WE), employee resilience (ER), and work performance (WP) in the police sector in a developing country such as the UAE's Federal Authority for Identity, Citizenship, Customs and Port Security (ICP). Additionally, it examines the mediating effects of WE and ER on the relationship between EI-ability and police officers' WP in the UAE's ICP. The theoretical framework is based on extant literature to accomplish these objectives, utilizing the Conservation of Resources (COR) and Job Demands-Resources (JDR) as foundational theories. To fulfill the study objectives, a quantitative cross-sectional survey method was employed to gather data from a population of 970 police officers working on the front lines in the UAE's ICP. Questionnaires were randomly distributed to 300 ICP police officers selected through simple random sampling, yielding 253 usable responses, achieving an impressive response rate of 84 percent. The collected data were analyzed using Partial Least Squares Structural Equation Modelling (PLS-SEM) to assess the study's hypotheses. The results indicate a significant and positive influence of EI ability, WE, and ER on police officers' work performance. Furthermore, EI ability was found to have a positive and significant impact on WE and ER within the UAE's ICP police officers. Crucially, the findings reveal that WE and ER partially mediate the relationship between EI ability and police officers' work performance in the UAE's ICP. These findings contribute to the literature by highlighting the relevance of EI, WE, and ER as personal resources and abilities in enhancing police officers' work performance. Understanding these components enables police institutions' decision makers to optimize police officers' work engagement and resilience to enhance their work performance
The effect of e-learning system quality on training engagement to improve creativity among workforce of public sector in the Ministry of Interior Abu Dhabi, United Arab Emirates (UAE)
Get PDFCreativity development has become crucial in changing scenarios worldwide, especially in the changing nature of work requirements. The majority of governments worldwide stress the implementation of e-learning systems and continuously urge the improvement of the quality of e-learning. Furthermore, without engaging the learners, the success of any program will be difficult. Therefore, the purpose of the study is to identify the impact of e-learning system qualities on training engagement to improve creativity among the employees in the Ministry of Interior Abu-Dhabi, United Arab Emirates. The ministry was chosen due to the UAE's focus on employees’ creativity to cope with the economic downturn after the COVID-19 pandemic. Although the government invested a lot in e-learning system qualities, they were facing issues during the implementation of it. The investment theory of creativity has been used as the underpinning theory to develop the framework which has been tested over the data collected from 400 employees working at the Ministry of Interior Abu-Dhabi using the questionnaires adopted from prior studies. After ensuring the external model for checking the reliability of the data, the inner model was evaluated to test the hypothesis raised in the study. The findings revealed that all the direct and indirect hypotheses were accepted, confirming that e-learning system qualities significantly impacted employees’ creativity and training engagement mediates the relationship between the dimensions of e-learning system qualities (system quality, service quality, interface quality and emotional quality) and employees’ creativity. Theoretically, this study contributed to the use of the investment theory of creativity in studying the context of e-learning system qualities and training engagement in improving employees’ creativity. From a practical point of view, this study found that e-learning system quality and training engagement have great potential to enhance employees’ creativity in the UAE based on the factors studie
Developing a work-related well-being framework for generation Z employees in an intelligent environment in Hainan hotels
Get PDFThe concept of employees’ work-related well-being has both positive and negative impacts on employees’ job experience. As Generation Z employees become the dominant hotel workforce, their diverse characteristics significantly influenced their work-related well-being, particularly within the evolving intelligent environments of hotels in Hainan, China. However, lacking a unified definition of work-related wellbeing necessitates the development of a tailored framework for Generation Z hotel employees. This study explores the definition, components, and clusters of work-related well-being for Generation Z employees in Hainan hotels, aiming to develop a comprehensive framework. Utilizing the Delphi method, the study engaged 20 Generation Z hotel employees as respondent samples, conducting four rounds of data collection and analysis to identify, determine, and categorize the definitions, components, and clusters of work-related well-being. The initial round of semi-structured interviews indicated that Generation Z employees' work-related well-being refers to the perceptions and feelings experienced from satisfaction with the workplace, intrinsic motivation with engagement, fulfillment of personal needs, and receiving mental support. Subsequent rounds of questionnaire analysis identified and determined 7 clusters and 52 components of work-related well-being for Generation Z employees in Hainan hotels, with all clusters and components having recognition means between 3.6 and 4.8 and achieving a 70% and above consensus. This led to the development of a work-related well-being framework for Generation Z hotel employees. The framework extends the PERMA model by adding two critical clusters: (1) diverse needs and work-life balance, and (2) hotel environment with artificial intelligence supports. It underscores the unique characteristics of Generation Z employees and the influence of intelligent environments in hotels and addresses gaps in existing work-related wellbeing research. Furthermore, the framework provides a theoretical basis for studying Generation Z employees' work behavior. It offers hotel managers insights to enhance human resource management systems and develop sustainable talent development plans
Optimized image enhancement of colour processing for retinal fundus image
No full textIdentifying Diabetic Retinopathy (DR) features based on retinal fundus images traditionally involves eye examinations by ophthalmologists. However, these original retinal fundus images often exhibit challenges such as low contrast, non-uniform illumination, and colour inconsistency, which can impact the accuracy of DR classification. Therefore, enhancing image quality by applying colour image processing techniques to the original retinal fundus images is crucial. This study introduces two novel techniques designed to overcome the limitations of existing algorithms. Firstly, a new colour correction algorithm named Fuzzy Tuned Brightness Controlled Single-Scale Retinex Histogram Matching (fTBCSSRhm) is proposed to address the issue of colour inconsistency in the dataset. Secondly, the enhanced Tuned Brightness Controlled Single-Scale Retinex with Hybrid Particle Swarm Optimization - Contrast stretching (eTBCSSR-HPSOCS) algorithm is introduced to tackle the limitations of the standard Particle Swarm Optimization (PSO) algorithm in HPSOCS, which is prone to local optima and exhibits low convergence rates. This technique combines the L-component of the LAB colour model with an enhanced velocity mechanism in PSO and contrast stretching (lavHPSOCS). Its goal is to fine-tune parameters automatically, reduce over-enhancement, avoid unwanted artifacts, and preserve intricate details. This approach aims to improve optimization by balancing exploration and exploitation and refining velocity control. The proposed algorithm underwent both qualitative and quantitative evaluations. Tests on 600 retinal fundus images from primary and secondary datasets were performed to benchmark the algorithm two existing approaches. The results show that the qualitative performance of the proposed enhancement is more favourable to ophthalmologist specialists compared to other images. Quantitatively, the method outperforms others with the lowest mean squared error (MSE) of 44.729, the highest peak signal-to-noise ratio (PSNR) of 32.768, and entropy of 0.977. It achieved a 95.034% success rate in classification accuracy. The study introduces a new colour correction model and an optimized image enhancement model, significantly improving retinal fundus image quality and establishing the most effective model for image quality enhancemen
Work safety scale influcing safety behaviour in signaller army
No full textThis study investigates the factors influencing safety behaviour in the Signaller Army, focusing on Work Safety Scale (WSS) factors, including co-worker safety, supervisor safety, management safety practices, and satisfaction of safety programs. The primary objectives were to assess the level of safety behaviour, analyse how WSS factors influence safety behaviour, and identify which WSS factors has the strongest impact on safety behaviour. A quantitative survey was conducted, collecting data from 295 military personnel, including Officers and Other Ranks. The data was analyzed using SPSS version 28.0, employing descriptive statistics, Pearson product-moment correlation coefficient analysis, and multiple regression analysis. The results revealed that Signaller Army personnel exhibited a high level of safety behaviour, with a mean score of 3.893. All WSS factors showed a significant positive relationship with safety behaviour. Specifically, co-worker safety (r = 0.552, p-value < 0.001), supervisor safety (r = 0.931, p-value < 0.001), management safety practice (r = 0.923, p-value < 0.001), and satisfaction of safety programs (r = 0.779, p-value < 0.001) were positively correlated with safety behaviour. Multiple regression analysis revealed that supervisor safety (b = 0.456) was the most influential factor, followed by management safety practices (b = 0.410), co-worker safety (b = 0.118), and satisfaction of safety programs (b = 0.091). These findings emphasize the importance of leadership, effective organizational practices, and strong teamwork in promoting safety behaviour within the military. The study offers valuable insights into improving safety culture and behaviour in military contexts, highlighting the need for targeted strategies to enhance safety culture and reduce operational risk
A zakat distribution for Asnaf empowerment at Lembaga Zakat Negeri Kedah (LZNK)
Get PDFZakat is an integral part of the Islamic financial system, serving as a mechanism to purify wealth and improve the welfare of the community. Although zakat institutions have long been present in Malaysia, challenges remain in ensuring equitable distribution of zakat to asnaf and ensuring that the distribution system effectively empowers them economically. This study uses General Systems Theory (GST) to examine the interrelationship between zakat and human capital, and their integration into an efficient distribution model. The study uses a qualitative methodology by conducting in-depth interviews, and thematic analysis assisted by ATLAS.ti software to show that while LZNK’s zakat distribution is in line with maqasid syariah, there is a need for integration of technological tools, such as the Zakat on Touch platform, and stronger empowerment programs to foster sustainable socio-economic independence for asnaf. The findings suggest that LZNK’s initiative to develop a comprehensive empowerment strategy, which includes skills training and capital provision, is critical to reducing the asnaf’s dependence on zakat. However, challenges such as the accuracy of asnaf selection, transparency of fund distribution, and resolution of socioeconomic issues remain. The report concludes with recommendations to improve zakat management through increased community participation, advancement of technology systems, and creation of programs that focus on developing long-term empowerment to transform asnaf from recipients to donors of zaka
Pembentukan model Al-Qalb dalam komponen ijtihadik bagi program Ulul Albab
Get PDFThis study aims to form an al-Qalb model for improving the ijtihadik component in an Islamic educational program, namely Program Ulul Albab. This is because al-Qalb has significant intellectual potential regarding the ijtihadik component. Previous studies stated that there is a need for improving the ijtihad component based on the less favorable results. Thus, this study has three objectives: first, to identify the concept of al-Qalb in the construction of ijtihadik elements; second, to analyze the form of implementation of the ijtihadik component in the Program Ulul Albab; and third, to form the al-Qalb model in the implementation of the ijtihadik component of the Program Ulul Albab. The research approach used in this study is qualitative, with an exploratory research design. Data from documentation and interviews were analysed using content analysis methods. A total of 11 respondents from Maktab Rendah Sains Mara (MRSM) Kepala Batas and Sekolah Menengah Kebangsaan Agama Kedah participated in this study. The study’s results found that no specific modules were used in implementing ijtihadik in both institutions. The existing approaches are more focused on physical development. Meanwhile, the theoretical approach based on Bloom's Taxonomy is less appropriate and less effective in developing ijtihadik. Thus, this study contributes to the Program Ulul Albab in the implementation of ijtihadik components based on the cognitive and affective domains of al-Qalb from an Islamic perspective, along with the purification of the heart (tazkiyat al-Qalb) from negative elements
Digital poverty phenomenon among B40 school students in Kedah, Malaysia
Get PDFThe COVID-19 pandemic highlighted the essential role of information and communication technology (ICT) in education as students shifted to home-based learning from classroom learning in school. However, this transition also exposed significant disparities in ICT access, amplifying digital poverty among disadvantaged groups, particularly B40 households in rural Malaysia. This study examines digital poverty among B40 school students in Kedah focusing in three rural districts by exploring its categories, contributing digital poverty factors among the school students, and students’ perceptions of technology in online learning. A qualitative research design was adopted, involving structured interviews with 55 students from rural schools in Baling, Sik, and Pulau Tuba, Langkawi. The findings indicated that digital poverty among B40 students is driven by limited access to digital tools, unreliable internet connectivity, low ICT literacy, and economic challenges especially within financial problems. These barriers hinder students’ learning experiences, emphasizing the stark disparities in ICT adoption between rural and urban regions. While online learning holds a significant potential, students' perceptions of its effectiveness remain moderate, largely due to inadequate infrastructure and insufficient preparation. The study underscores the urgent need for targeted interventions to combat digital poverty issues including enhancing the school ICT infrastructure, providing affordable digital tools for students, and fostering digital literacy among the students. These initiatives are crucial for ensuring equitable access to education and supporting Malaysia’s progress towards becoming a digitally inclusive society. The findings provide actionable insights for policymakers and digital stakeholders in developing strategies to bridge the digital poverty, particularly for vulnerable student populations