PENGETAHUAN REMAJA TERHADAP PERLINDUNGAN JENAYAH SCAM DI MALAYSIA

This study provides a comprehensive examination of data privacy and security within the realm of environmental research, highlighting the evolving challenges and innovative solutions in safeguarding sensitive environmental data. Employing a systematic literature review and content analysis, this research scrutinizes peer-reviewed articles, legal documents, and policy papers published from 2014 to 2024. The study's objectives were to explore fundamental principles, assess key developments and cutting-edge solutions, and understand the impact of international standards and regulatory bodies on data protection in environmental studies. Key findings reveal a growing emphasis on robust data governance frameworks, driven by advancements in digital technologies and the global diffusion of regulations such as the GDPR. Innovations in encryption and anonymization techniques have emerged as critical tools in enhancing data security. However, the study identifies a pressing need for interdisciplinary collaboration and stakeholder engagement to navigate the complex landscape of data privacy and security effectively. The study concludes that the future of environmental research is intricately linked to the strategic integration of data privacy and security measures. It recommends a proactive approach to data protection, emphasizing the importance of compliance with international regulations, the adoption of privacy-by-design principles, and the development of education and training programs. Future research should focus on advancing data security technologies and exploring the socio-ethical implications of data use in environmental studies, ensuring the ethical stewardship of sensitive information. Keywords: Data Privacy, Environmental Research, Data Security Solutions, International Regulations.

Life in this digital era is greatly influenced by technological advances. The sheer volume of technology shows that humans and technology cannot mix. In the 5.0 era, there is the idea that technology will work together with humans to improve the quality of life. One area that will benefit from the community is tourism. To increase tourism promotion, people can discover tourist attractions through digital content. Searching on various digital media, usually called social media, allows people to find tourist attractions through digital content. This conceptual research discusses the use of digital content as a tourism promotion tool. The importance of interesting content used in digital promotions so that the display supports the delivery of training presentation materials. This research uses a qualitative approach. The data source for this research comes from questions in a questionnaire regarding the opinions of tourist village managers in Dander District, Bojonegoro Regency regarding making videos based on digital media content to improve promotional skills. This research aims to find out whether there is an increase in knowledge of learning outcomes obtained from training.

The adoption of digital records management in Zimbabwe’s public sector is critical for promoting transparency, accountability, and good governance. However, its success hinges on the perceptions and attitudes of government employees who interact with these systems. This study aimed to explore how government workers perceive digital records and to propose strategies that enhance their use and acceptance. Guided by the technology acceptance model (TAM), which focuses on perceived usefulness and ease of use, the research adopted a qualitative approach using a multiple case study design. Data were collected through interviews and observation across 16 ministries, involving 26 purposively selected participants from records and ICT departments. Thematic analysis was used to interpret the findings. The results revealed that although employees acknowledged the advantages of digital records, they harboured significant concerns about their trustworthiness. Key issues included fears about data security, privacy risks, high implementation and maintenance costs, power outages, and doubts over legal compliance. The absence of an electronic document and records management system (EDRMS) in most departments also contributed to scepticism because digital records created outside such systems were viewed as untrustworthy. Many departments thus retained a hybrid system of both paper and digital records owing to low confidence in digital-only solutions. The study concludes that negative perceptions driven by technological, legal, and infrastructural challenges undermine the full adoption of digital records. It recommends the implementation of EDRMS, investment in ICT training for records professionals, and change management initiatives to support the shift from paper-based to digital records systems.

PurposeThis paper aims to discuss the questioning around the current suitability of ownership both for accessing to certain property (housing, to be more specific) and chattels (digital contents, animals and autonomous robots) that have recently flourished, favored by technological advances and the change in the values of the millennials’ in a context of crisis.Design/methodology/approachThe process of substitution (e.g. through alternative housing tenures, such as intermediate tenures and collaborative housing, licensing digital contents) or erosion/elimination (e.g. owning animals and robots, tokenization through blockchain) of ownership through key types of property and chattels.FindingsOwnership, both of land and goods, is again at the stake. Technological advances and/or new values of millennials in a context of crisis have led to questioning the suitability of ownership to favor universal access to housing, of holding music and other digital contents, have limited the faculties of animals’ and pets’ owners and are favoring the evolution of autonomous robots into subjects of law rather than mere objects.Research limitations/implicationsOnly key property (housing) and chattels are studied (digital contents, animals, robots). There is no broad study of the global current situation of ownership.Practical implicationsIt is discussed how the changes of values and technological advances in a context of crisis have impacted in the strength and reliability of ownership to allow access to property and chattels.Social implicationsThese changes in ownership change how we can access to property (housing) and to chattels (digital media) and even to changes in what is considered “object” such as what is happening in Europe with animals and robots.Originality/valueThis is a new approach to consequences of the crisis in the field of housing (fractioning of ownership -temporal and shared ownership-, collaborative economy) and a change of values in the new millennial generation (animals) in this context and owing to the advance of the new technologies (robots). Is ownership again at the stake?

The construction and management of exhibition informatization is the main task and choke point during the process of Chinese exhibition industry’s transformation and promotion. There are three key points expected to realize a breakthrough during the construction of Chinese exhibition informatization, and the three aspects respectively are adopting service outsourcing to construct and maintain the database, adopting advanced chest card technology to collect various kinds of information, developing statistics analysis to maintain good cutomer relations. The success of Chinese exhibition informatization mainly calls for mature suppliers who can provide construction and maintenance of database, the proven technology, a sense of data security, advanced chest card technology, the ability of data mining and analysis and the ability to improve the exhibition service basing on the commercial information got from the data analysis. Several data security measures are expected to apply during the process of system developing, including the measures of the terminal data security, the internet data security, the media data security, the storage data security and the application data security. The informatization of this process is based on the chest card designing. At present, there are several types of chest card technology: bar code chest card; two-dimension code card; magnetic stripe chest card; smart-chip chest card. The information got from the exhibition data will help the organizers to make relevant service strategies, quantify the accumulated indexes of the customers, and improve the level of the customer’s satisfaction and loyalty, what’s more, the information can also provide more additional services like the commercial trips, VIP ceremonial reception.

Purpose: This study aims to explore the critical role of data security in continuous improvement within Industry 4.0 settings. It focuses on identifying how robust data security practices enable organizations to enhance operational efficiency, foster innovation, and protect sensitive information assets. Additionally, the research highlights the interplay between technological advancements, regulatory compliance, and proactive risk management in achieving sustainable organizational growth. Design/methodology/approach: The research adopts a mixed-method approach to investigate the role of data security in continuous improvement within Industry 4.0. A comprehensive literature review was conducted to identify key theoretical frameworks and best practices related to cybersecurity and continuous improvement. The study also incorporates case analysis of Industry 4.0 technologies, such as IoT, AI, and big data analytics, highlighting their integration with data security strategies. By analyzing real-world applications and leveraging predictive analytics and compliance audits, the research demonstrates how secure data practices can enhance organizational performance and foster innovation. Findings: The study identifies that data security is an indispensable component of continuous improvement in Industry 4.0. Secure data practices enhance decision-making, promote operational resilience, and enable proactive risk mitigation. Moreover, they support compliance with regulatory frameworks, such as GDPR and ISO 27001, while fostering a culture of innovation and trust among stakeholders. The findings also reveal significant challenges, including technological complexity, resource constraints, and rapidly evolving cyber threats. Research limitations/implications: The research is limited by the availability of empirical data on specific Industry 4.0 applications. Future studies could expand on the practical implementation of data security measures across diverse industries and explore the economic implications of continuous improvement strategies. Additional research on emerging technologies, such as blockchain and quantum computing, could further enrich the understanding of secure data management. Practical implications: The study provides actionable insights for businesses seeking to integrate data security into their continuous improvement processes. It emphasizes the importance of investing in advanced security technologies, workforce training, and compliance frameworks to enhance organizational resilience. These recommendations are particularly relevant for enterprises navigating the complexities of Industry 4.0. Originality/value: This paper contributes to the literature by linking data security directly with continuous improvement in Industry 4.0. It offers a novel perspective on the strategic importance of secure data practices, supported by both theoretical insights and practical applications. The findings are valuable to researchers, policymakers, and industry leaders focused on sustainable growth and technological innovation.

Over the years, rapid urbanisation aided by advanced technologies and population increment has significantly altered the natural environment into concrete jungles resulting in adverse environmental degradation. In order to mould a sustainable, resilient and green future, global efforts and directives have been introduced, such as the 17 Sustainable Development Goals, low-carbon cities, and others at international and local levels. Nevertheless, grassroots initiatives and actions are crucial in producing results. Presently, there is no mechanism to measure the relevant environmental components into a comprehensive system indicating Malaysia’s level of environmental resilience. Though the local governments have to report their development performance via MURNINET, a system developed by PLANMalaysia, this system does not include environmental resilience. As such, this study on the Environmental Resilience Index (ERI) was embarked on, proposing five environmental components that can be used by local authorities to assess environmental resilience. ERI covers environmental resources, built environment, climate conditions, natural disasters and environmental issues. On the other hand, this paper shares an ERI pilot analysis of the environmental resources of the study area, Selangor, Malaysia, consisting of 9 districts. The data used to analyse are majorly secondary data from official reports of responsible technical departments and agencies in Malaysia to ensure the validity and reliability of data. The output of this analysis was generated using ArcGIS software as it relates to the weightage of different components and sub-components. The results show that most districts in Selangor have an ERI level of moderate level, while three districts, namely Sabak Bernam, Sepang and Petaling, are categorised as having low ERI levels.

Electricity is one of the most important aspects of human survival on the planet. Due to advancements in communication technology, the Home Automation System is gaining popularity. The smart sensors can sense physical parameters and can help in creating a better environment to live in. With advancement in technology and interlinking of the devices with android app, security of data has become the most important parameter that has to be considered while designing such smart systems emphasis has to be given to design them as energy efficient system. The proposed system is an IoT based energy efficient automation system with security features for home and industrial automation. The appliances in this system can be controlled from anywhere, i.e., in the local network without the internet as well as over the internet. To make the system more flexible different features like mood switching, dimming, timer controlled, alexa assistant etc. was implemented. The proposed system will be long range communication system using LoRa protocol with a smaller number of hardware components required for the automation system. It will be a modernize solution and no expert worker will be needed, thus it will reduce the overall cost of the automation system.

Introduction: The implementation of digital solutions in primary health care has brought significant changes and improvements to traditional systems. However, the integration between traditional medical cultures and digital solutions remains a hurdle to be overcome. Despite this, the implementation of these solutions brings advantages such as improved access to care, increased patient engagement, enhanced efficiency, and better health outcomes. However, there are challenges to be overcome, such as resistance to change, concerns about privacy and data security, as well as infrastructure and internet access issues. Through collaboration between healthcare providers, policymakers, and technology developers, it is possible to successfully overcome these challenges and integrate digital solutions into primary health care. Methodology: An integrative literature review was conducted to analyze case studies and relevant research on the implementation of digital solutions in primary health care. Articles published between 2010 and 2023 were selected from databases such as PubMed, Scielo, and Medline, addressing the benefits, challenges, and outcomes related to digital solutions. Data analysis was performed qualitatively and quantitatively, grouping relevant information and highlighting improvements in primary health care. Objective: This scientific article aims to explore the impact of digital solutions in primary health care, comparing and contrasting traditional systems with the advantages and challenges of implementing digital solutions. Discussion: The implementation of digital solutions in primary health care has brought significant advantages, such as improved access to care, increased efficiency, and better health outcomes. However, it also presents challenges, including resistance to change, concerns about data privacy, and the need to assess cost-effectiveness. Case studies highlight both successful and unsuccessful implementations, providing valuable insights into the factors that contribute to success or failure. To harness the full potential of digital solutions in primary health care, it is crucial to consider the impact on the doctor-patient relationship, ensure effective data management and analysis, and integrate digital solutions into existing healthcare systems. Additionally, ethical considerations, adequate training for healthcare professionals, and patient acceptance play important roles in the successful implementation of these solutions. Conclusion: The implementation of digital solutions in primary health care brings various advantages, such as improved access, increased efficiency, and better health outcomes. However, it is essential to address ethical issues, such as data privacy and security, and ensure that these solutions are accepted, effective, and integrated into existing healthcare systems. Training and education for healthcare professionals play a crucial role in the successful adoption of these solutions, as well as patient acceptance and adoption. Looking to the future, advances in digital technology have great potential to transform primary health care, provided the necessary skills are considered and there is collaboration among stakeholders. By addressing these considerations, primary health care can make the most of the benefits of digital solutions, improving healthcare delivery for individuals.

According to behavioral finance theory, a person's investment decisions can involve aspects or elements of behavior, so that they are influenced by irrational attitudes. This study aims to determine individual behavior in making family investment decisions in terms of herding behavior and risk tolerance as well as demographic factors in the community in the city of Tasikmalaya. Primary data was taken by distributing questionnaires with snowball sampling technique and collected as many as 247 samples. Data were analyzed using crosstabs analysis and multiple regression analysis. The results of the descriptive analysis showed that the people of the city of Tasikmalaya are more likely to choose to invest in moderate risk assets and low risk assets, with a fairly low level of herding behavior and a fairly low level of risk tolerance. The results of the crosstabs analysis showed that there was no significant difference in determining the choice of the type of family investment, between women and men in the Tasikmalaya city community. However, the results of the analysis of other demographic factors, namely marital status, income, and age, there are significant differences in determining the choice of the type of family investment. The results of the multiple regression test showed that herding behavior and risk tolerance, simultaneously, had a significant effect on family investment decisions in the community in the city of Tasikmalaya. The results also showed that partially herding behavior had no significant effect on investment decisions in the community in the city of Tasikmalaya, but risk tolerance partially had a significant effect on investment decisions in the community in the city of Tasikmalaya..

This cross-sectional study aimed to explore the level of health literacy, health behavior, social support and quality of life among socially dependent elderly people , and to investigate correlations and predictable factors for their quality of life. 450 elderly people in Thailand's Phayao province were chosen using a multi-stage cluster sampling method. Data were collected using questionnaires between November 7th, 2022 and January 30th, 2023. Descriptive analysis, independent t-test, one-way ANOVA, Pearson's correlation coefficient, and multiple regression analysis were used to analyze the data. The results showed that health literacy (HL-3ESA) and social support were adequate, health behavior (HB-3ESA) was good, and quality of life (QL) was at a good level. QL differed significantly between groups according to age, occupation, education, BMI, and disease condition. Cognitive function and information on HL-3ESA and emotional support were positively and significant in their correlation with QL, whereas HL-3ESA was negatively significant in its correlation with QL. Multiple regression analysis indicated that seven dependent variables predicted QL; disease condition (β= 3.94), frequency of health information (β=.932), HB-3ESA (β= -.526), occupation (β= -.386), age (β= -.215), HL-3ESA (β= .210),and social support (β= .124) and all were able to predict QL from samples at 27.3%. The findings should be used to help set up activities to promote health care measures for socially dependent elderly in the area under study and similar areas.

In July 1999, after the Constitutional Court ruled that the Constitutional Court violated the provisions of the planned amendment, the government amended the ordinance on the planning and use of urban planning facilities, which resulted in the enactment of the ordinance on urban planning (July 1, 2000), which has not been implemented for more than 20 years. In response, the government introduced a special system to encourage private companies to participate in a bid to minimize the possibility of releasing and developing urban parks. The special business of private public aid should be based on public assistance and the effectiveness of public interest, based on procedural trust and business standards. Therefore, what are the factors that are important to residents and experts in business. We used cross tab analysis, t-test and multiple regression analysis According to the results of the analysis; First, it is necessary to set the development direction for each park. Second, we should avoid the position of business-oriented arrangement of non-park facilities. Third, it is necessary to establish a citizen participation governance system in order to revitalize special projects for private parks. Fourth, publicness should be strengthened as much as possible. As a result of this study, it is possible to provide basic data that can contribute to the improvement of the quality of life of the citizens,

This study investigated whether descriptive analyses, experimental analyses, and reinforcer assessments produced similar patterns of data. Descriptive analyses were conducted to identify baseline levels of disruptive behavior and to systematically describe the co-variation between disruptive behaviors and teacher attention, peer attention, and the academic task. Data on disruptive behavior were analyzed by computing conditional probabilities associated with the preceding and maintaining stimuli (e.g., peer attention). Experimental analyses were conducted to examine the extent to which disruptive behavior was sensitive to the instructional task or to the systematically programmed consequences (e.g., teacher attention). A preference assessment was conducted to identify preferred stimuli for each subject (e.g., edibles). Hypotheses were developed and interventions were based on a simple contingency reversal using a changing condition within subject multiple baseline across subjects design and implemented within the naturally occurring reading class. Six children between the ages of 6--7 years within an urban school district served as subjects. The results showed that both descriptive and experimental analyses produced similar data for all six subjects. In addition, the intervention derived from the preference assessment was shown to be more effective than the interventions derived from the descriptive and experimental analyses for all six subjects. Results are discussed in terms of costs, efficacy, and efficiency of the various assessment procedures investigated.

The purpose of this study is to determine the influence of circuit learning on improving the physical fitness of elementary school students. This research was conducted at SDN 135 Sajoanging Wajo Regency of South Sulawesi Province, with a sample of 20 people. The method used in this study is to use asi experiments. The data analysis technique used in this study is to use descriptive analysis and inference analysis, descriptive analysis is used to describe the results of this study while inference analysis uses uji_t with a significant degree α=0.05 analysis used with the help of SPSS version 20.0. The results of this study found that circuit learning had a significant influence on improving the physical fitness of elementary school students. Thus, it can be concluded that circuit learning is one of the alternatives to improving the physical fitness of school students.

Blockchain technology is increasingly recognised for its ability to enhance transparency, reliability, and accuracy in supply chain operations. This study examined the influence of blockchain adoption on data accuracy within the supply chain management system of the Nigerian National Petroleum Company Exploration & Production Limited (NEPL), Benin City. Four blockchain constructs data integrity, transaction accuracy, error rate reduction, and data security were assessed as predictors of data accuracy. Data accuracy was measured using seven Likert-scale items evaluating the correctness, uniformity, and reliability of supply chain records. A descriptive survey research design was adopted, and a sample of 138 respondents was determined using the Taro Yamane formula. Data were collected through a structured questionnaire and analysed using descriptive statistics, reliability tests, and multiple regression analysis. Findings revealed that data integrity (β = 0.322, p < .001), transaction accuracy (β = 0.276, p = .002), error rate reduction (β = 0.241, p = .007), and data security (β = 0.295, p = .001) each significantly enhanced data accuracy. Collectively, the predictors explained 70.8% of the variance in data accuracy. The study concludes that blockchain adoption substantially improves data accuracy in NEPL’s supply chain operations. It recommends institutionalising blockchain systems, building staff capacity, and strengthening regulatory support.