Level Of Usage Research Articles

Assessing the Impact of Artificial Intelligence Tools on Employee Productivity: Insights from a Comprehensive Survey Analysis

This study provides a nuanced understanding of AI’s impact on productivity and employment using machine learning models and Bayesian Network Analysis. Data from 233 employees across various industries were analyzed using logistic regression, Random Forest, and XGBoost, with 5-fold cross-validation. The findings reveal that high levels of AI tool usage and integration within organizational workflows significantly enhance productivity, particularly among younger employees. A significant interaction between AI tools usage and integration (β = 0.4319, p < 0.001) further emphasizes the importance of comprehensive AI adoption. Bayesian Network Analysis highlights complex interdependencies between AI usage, innovation, and employee characteristics. This study confirms that strategic AI integration, along with targeted training programs and ethical frameworks, is essential for maximizing AI’s economic potential.

The Influence of Discount Cuts and Buzz Marketing Strategies on Live Sales Through E-commerce on Impulsive Buying Behavior

The level of internet usage in Indonesia is considered very high, encouraging the community to continuously adapt to using technology as a medium for business creation. The utilization of technology in the business field requires business actors to enhance creativity and strategies to influence and attract consumer purchasing interest. This research will explain the influence of discounts and buzz marketing strategies on live sales through e-commerce on impulsive buying behavior, with respondents aged 15-29 who reside in Jakarta. The technique used in the research for sample selection is non-probability sampling with purposive sampling. Data collection in this research was conducted by distributing questionnaires. The research analysis technique used is Smart PLS. Ultimately, the results of this study show that discounts on live sales through e-commerce have a positive but insignificant effect on impulsive buying behavior. Meanwhile, buzz marketing in live sales through e-commerce has a significant positive effect on impulsive buying behavior.

A randomized, placebo-controlled trial of purified anthocyanins on cognitive function in individuals at elevated risk for dementia: Analysis of inflammatory biomarkers toward personalized interventions

BackgroundDementia poses a significant global health challenge. Anthocyanins neutralize free radicals, modulate signaling pathways, inhibit pro-inflammatory genes, and suppress cytokine production and may thus have positive cognitive effects in people at increased risk of dementia. We aim to investigate the effects of purified anthocyanins on cognitive function in people at increased risk of dementia according to their inflammation status based on blood-based inflammatory biomarkers. MethodsThis is a secondary analysis of a 24-week randomized, double-blind, placebo-controlled trial. Cluster analysis was performed to categorize two groups based on their individual inflammatory biomarker profile using multiplex sandwich ELISA for the quantitative measurement of cytokines. Descriptive statistics and longitudinal models assessed cognitive outcomes. The primary comparison was the group difference at week 24 based on a modified intention-to-treat analysis. ResultsCluster analysis revealed two distinct inflammatory biomarker profiles. In Cluster 1 (high levels of inflammation biomarkers), anthocyanin treatment showed a statistically significant improvement on cognitive function compared to placebo at 24 weeks. No significant differences were observed in Cluster 2 (low levels of inflammation biomarkers). The demographic characteristics, cognitive scores, and biomarker distributions were similar between treatment groups at baseline. However, cluster 1 exhibited higher BMI, diabetes prevalence, medication usage, and lower HDL cholesterol levels. ConclusionIndividuals with elevated levels of inflammation markers benefited from anthocyanin treatment to enhance cognitive performance, whereas those with lower levels did not. The anti-inflammatory and antioxidant properties of anthocyanins make them a promising intervention, and future prospective trials in people with increased inflammation are warranted.

Integrated Biomarker Response Emphasizing Neuronal Oxidative Stress and Genotoxicity Induced by Oxamyl in Sprague Dawley Rats: Ameliorative Effect of Ginseng as a Neuroprotective Agent.

Climate change has led to increased and varying pest infestation patterns, triggering a rise in pesticide usage and exposure. The effects of oxamyl, a widely used nematicide in Egypt, encompasses typical signs of carbamate intoxication; nevertheless, long-term effects of oxamyl exposure, particularly on the nervous system, require further elucidation. This study systematically investigated the mechanism and manifestations of repeated subacute exposure to sublethal doses of oxamyl in male SD rats. Data showed a dose-dependent genotoxic effect, manifested as increased bone marrow micronuclei and decreased brain expression of key genes involved in neurogenesis and neuronal development. Coincidently, brain histopathology showed dose-dependent neurodegeneration in various regions, associated with a significant increase in GFAP immunoreactivity, indicative of neuroinflammation. Biochemical examination revealed a typical pattern of cholinesterase inhibition by carbamates in serum and brain tissue, as well as increased oxidative stress markers in the brain such as SOD activity reduction, alongside an increase in NO and MDA. The ability of Ginseng at a 100 mg/Kg dose to ameliorate the effects of oxamyl exposure was investigated. Ginseng use, either as a protective or therapeutic regimen, attenuated the observed genotoxic, neuroinflammatory, and biochemical alterations. Our results indicate that repeated exposure to oxamyl triggers an integrative neurotoxic response, driven by genotoxicity, oxidative stress, and neuroinflammation, that could trigger an increase in neurological and cognitive disorders. These findings emphasize the urgent need for confirmatory translational studies in human subjects to assess these changes and inform policy decisions regarding safe levels of usage and appropriate agricultural and public health practices.

A new insight on efficient ammonia borane dehydrogenation withRu-Imine@Al2O3 catalyst

Ammonia borane is widely recognized as a reliable source of hydrogen. However, for efficiently generate hydrogen from ammonia borane, the use of appropriate catalysts is necessary. Transition metal catalysts, significantly enhance the hydrogen production. In our study, we focused on synthesizing a catalyst, Ru-Imine@Al2O3, by incorporating ruthenium-imine onto the surface of alumina in an ethanoic solution. We conducted this synthesis under ambient conditions. We employed advanced analytical techniques to characterize it. To better understand the structure and composition of catalyst. Notably, this is the first time that Ru-Imine and Ru-Imine@Al2O3 have been used for dehydrogenation of ammonia borane. During our experiments, we found that the Ru-Imine@Al2O3 catalyst exhibited excellent activity in the dehydrogenation process of ammonia borane, releasing hydrogen. We tested different levels of Ru-Imine usage and observed the best performance with 10 % Ru-Imine complex in a 10 mg catalyst. Under these conditions, the catalyst produced 19531 mL H2gcat.−1min−1, at 30.0 ± 1 °C. the catalytic activity of 100 % Ru-Imine was also tested under the specified conditions and produced 14183 mL H2gcat.−1min−1. To gain further insights into the reaction, we thoroughly determined the kinetics and proposed a mechanism for the dehydrogenation process. Our findings revealed that Ru-Imine@Al2O3 catalyzed dehydrogenation of ammonia borane exhibited a lower activation energy (Ea) of 21.9 kJ mol−1. This implies that the reaction can proceed more easily and efficiently with the presence of the catalyst. Furthermore, we assessed the reusability of the catalyst and found that it demonstrated excellent performance even after eight cycles with 100 % conversion of ammonia borane. This highlights the potential of the Ru-Imine@Al2O3 catalyst for repeated use without significant degradation in its activity. These findings contribute to the advancing of hydrogen generation technologies and offer promising prospects for utilizing ammonia borane as a hydrogen source.

Assessing post-Covid-19 Lebanese teachers’ attitudes towards ICT and their level of integration in the classroom in relation to their years of experience

In this technological era, the implementation of Information and Communication Technology (ICT) into the learning environment is impacted by many factors, chief among them are those related to the teachers whose experience and attitude play a key role in the proper integration of technology. This study purports to investigate the effect of teachers’ experience on their attitude towards ICT integration and their level of usage in the classroom. It used a quantitative descriptive method by adopting two surveys (Hernández-Ramos et al., 2014 and Sánchez et al., 2012) as the main instrument for data collection. The survey was administered in four English language private urban schools in Lebanon. This study shows that the teachers hold an overall positive attitude towards ICT integration in the classroom. However, no significant relationship between their attitude and years of experience is identified. While teachers demonstrate a moderate to low ICT usage, a significant negative correlation between their use of ICT in the classroom and their years of experience is evident. These findings are not consistent with the prevalent literature that tends to associate positive attitudes towards technology with higher usage of ICT in different educational settings around the world. Limitations of the study and recommendations for sustainable implementation of ICT in the classroom are provided.

A MILP-based approach to address the production and distribution planning of large industrial gas supply chains

This paper focuses on addressing the Production Routing Problem (PRP) of industrial gas supply chains (SC). The work introduces a Mixed-Integer Linear Programming (MILP) based approach to effectively tackle this challenging problem. The proposed framework aims to increase company profits by optimizing both production and distribution activities simultaneously. For the distribution part, a route generation algorithm is employed to initially generate a set of feasible routes, ensuring that only routes with practical significance are considered. Subsequently, the mathematical model is developed considering only the set of routes generated. The formulation includes decisions associated with plants production levels, plant selection to supply the different consumers, clients to be visited per trip and day, quantity to be delivered and routes to be used. As part of the problem, it is considered that trucks can make several trips per day, as well as trips of several days. To take into account the last feature, the approach accounts for the explicit effect of the lead time on production and distribution decisions. In this way, the work allows for different delivery times for customers included in the same route, according to their inventories and usage levels. The model considers fleet unavailability until they return to the plants after finishing a trip. Finally, two case studies, one motivating and the other industrial size, are presented and solved. The results obtained demonstrate the effectiveness of the proposed approach to solve the case studies in reasonable CPU times.

PREVALENCE OF ANXIETY SYMPTOMS AND ASSOCIATED FACTORS AMONG ADULTS IN NORTHWEST SYRIA

Introduction: In Northwest Syria, an area plagued by persistent conflict and instability, our understanding of the prevalence of anxiety remains limited. The aim of this study is to assess the occurrence of anxiety symptoms among adults living in Northwest Syria. Materials and Methods: This study was conducted with a cross-sectional approach, this research delves into the adult population residing in designated sub-districts of Northwest Syria, with a special emphasis on the Idlib district, covering both Idlib city and Atmeh camps. Targeting individuals aged 18 years and older, the study employed a straightforward random sampling method to recruit participants from these localities. Results: A total of 890 adults participated to the study. Nearly half of the participants (49%) identified as male, while over half (58%) were below 40 years old, and the majority (79%) were married. The findings revealed that 75% of participants exhibited symptoms of anxiety. Moreover, prolonged mobile phone usage, exceeding 4 hours daily, exhibited a correlation with heightened anxiety symptoms prevalence. Notably, geographical location acted as a modifier in the relationship between anxiety symptoms and mobile phone usage. Specifically, individuals in Idlib city demonstrated increased odds of anxiety symptoms with excessive phone usage. Conclusion: The study revealed a significant increase in anxiety symptoms, notably associated with excessive mobile phone usage, geographical location, gender, and income level. Women and those with lower incomes were notably vulnerable, with discernible variations observed across specific locations. Various factors, including those highlighted in the findings, alongside external influences such as the recent earthquake and persistent political unrest, collectively contribute to heightened susceptibility to anxiety among individuals in this region.

Applying New Media Techniques for Conveying News and Information by Journalists of Broadcasting News Channels

Despite the fact that the new media through which people around the world are aware of the up-to-date developments as it is the most widespread form of communication, there are still confusions and unclarities among the journalists of news channels in delivering news and data. This research aims to know whether journalists and members of media have developed the new technics and taken advantage of them, or they had not improved. The distinction and selecting the most suitable applications that journalists increasingly use as new media technics require a scientific way of research in order to clear the confusion properly. This research is a scientific attempt to identify the level of awareness and usage of the new media technics by journalists of the Kurdish news channels through taking a sample of the channels’ correspondents that would indicate what suitable applications and how they are used as a new media technic. The research is qualitative and is conducted through surveys. Questionnaires are responded to by 84 correspondents of the news channels, from which samples are intentionally taken. The respondents’ opinion is measured this way. A number of objectives have been achieved in this research. The most important one that the researcher has realized is that the majority of the journalists that work in the news channels are males. Additionally, the majority of the research sample indicates WhatsApp is the most used app. Recommendations are provided at the end of the research.

Higher Learning Female Scholars’ Knowledge and Usage of Emergency Contraceptive Pills in Dodoma Tanzania

Background An emergency contraceptive pill (ECP) is one of the contraceptive methods that provide the last chance of preventing unplanned and unintended pregnancy once there is unsafe sexual intercourse. Higher learning scholars are at danger of getting an unwanted and unplanned pregnancy which poses a major public health concern and needs to be addressed. Therefore study examines higher-learning female scholars’ the level of knowledge and usage of Emergency Contraceptive pills in Dodoma Tanzania.  Methodology A Quantitative descriptive cross-sectional study and a multi-stage sampling technique were used to obtain 909 higher learning female scholars’ aged between 18 to 35 years old residing at Dodoma University, St. John, and College of Business Education in Dodoma, Tanzania. Data was collected using a self-administered questionnaire and analyzed using SPSS version 20  Results The Respondent rate was 99.7%. Among 906 respondents only 30.6% knew emergency contraceptive pills (ECP), 27.7% had never heard about emergency contraceptive pills and 19.5% had ever used ECPs. Among those with knowledge, 33.7% reported using emergency contraceptive pills while for those with no previous knowledge, 21.8% had used ECP. At CI of 95% and p<0.05, the use of ECPs had statistical significance with age, level of education, marital status, ever heard of ECPs, level of knowledge, and sexual relationship.  Conclusion The results of the analysis of this study show that the level of knowledge and usage of emergency contraceptive pills among higher-learning female scholars’ in Dodoma Tanzania was low. At CI of 95, the use of ECPs had a statistical relationship with age, level of education, marital status, ever heard of ECPs, level of knowledge, and sexual relationship.

Social Media's Influence on Productivity in Working Space Facilities : Studies on Cofffe Shop in Cimahi City, Indonesia

This study aims to determine and analyze the influence of social media on productivity in workspace facilities located in coffee shops. Employing a quantitative descriptive research method, primary data were collected through questionnaires distributed to 106 respondents who use these workspaces in Cimahi City. Data analysis was conducted using simple regression to measure the relationship between social media usage and productivity levels. The results indicate that social media has a significant positive impact on productivity within coffee shop workspaces, demonstrating a strong correlation between the two variables. These findings have important implications for both the development of knowledge in productivity management and for coffee entrepreneurs. Coffee shop owners are encouraged to leverage social media as a tool to attract customers, build community engagement, and enhance interaction, all of which can contribute to increased visitor productivity. This research also opens avenues for further studies on additional factors influencing productivity in collaborative workspaces in public venues.

Analysis of Intelligent Equipment Usage for Work-Related Musculoskeletal Disorders Prevention in Miners - Shanxi Province, China, 2023.

Work-related musculoskeletal disorders (WMSDs) are prevalent in the workforce and occur across various industries. Surveys show that the prevalence of WMSDs among miners is generally over 50%. High levels of intelligent equipment usage (IEU) can decrease the prevalence of WMSDs among miners by 7.49% and reduce pain by 13.69% on average. Stepwise regression analysis proved that IEU can reduce the harmful effects of workload on WMSDs. New Quality Productive Forces (NQPF) should also focus on health productivity. Disease prevention departments should consider the impact of NQPFs on occupational health and actively guide intelligent equipment design.

Adsorption of ciprofloxacin from aqueous solutions using cellulose-based adsorbents prepared by sol-gel method

Ciprofloxacin (CIP) is one of the most widely used antibiotics to treat bacterial infections. Consequently, there is concern that it may contaminate water resources due to its high usage level. It is therefore necessary to monitor, trace, and reduce exposure to these antibiotic residues. In the current study, the extraction of CIP from water was performed using a green adsorbent material based on cellulose/polyvinyl alcohol (PVA) decorated with mixed metal oxides (MMO). This cellulose/MMO/PVA adsorbent was synthesized using a simple sol-gel method. The prepared adsorbent materials were then characterized using a range of methods, including scanning electron microscopy, energy-dispersive X-ray spectroscopy, gas adsorption analysis, X-ray diffraction, and Fourier Transform infrared. The impact of pH, adsorbent dose, contact time, and CIP concentration on ciprofloxacin extraction were examined. The equilibrium and kinetic adsorption data were well described using the Freundlich model (R2 = 0.965). The optimum conditions for CIP adsorption were: pH = 4.5; adsorbent dosage = 0.55 g·L−1; contact time = 83 min; and initial CIP concentration = 2 mg·L−1. The adsorption capacity of the cellulose/MMO/PVA adsorbent for CIP removal was ∼19 mg·g−1 (CIP removal = 86.48 %). This study shows that cellulose/MMO/PVA adsorbents have potential for removing contaminants from aqueous environments.

Unveiling University Students’ Perceptions on Their Teachers’ Digital Competence

In contemporary society, digital competence has become increasingly important for people in everyday life as well as in working life. Hence, it is vital that today’s higher education contain an appropriate degree of digitization both in terms of content and approaches, something which is particularly important in higher education, where there is a pronounced expectation of what one should be able to handle in terms of digitization when one enters the workplace. Drawing on insights from previous research, this study seeks to explore the integration of digital elements in higher education pedagogy via students’ perceptions of digital integration in their education and evaluate their assessments of teachers’ digital competence. Special attention is given to collaborative learning practices facilitated by digital technologies. The research questions posed to guide the aim are: How do university students perceive the integration of digital elements within their education, and what are their assessments of their teachers’ digital competence in utilizing these technologies? The results show that teachers’ digital competence varies across disciplines which might influence their utilization of digital pedagogical methods and tools. Moreover, both engineering and non-engineering students reported varying levels of usage of digital collaborative learning methods which might reflect discipline-specific preferences and practices in collaborative learning. Also, despite high confidence levels in using digital tools, students exhibited limited awareness of existing digital functionalities. These results seek to inform pedagogical practices, institutional policies, and professional development initiatives to cultivate a digitally proficient educator workforce and have relevance globally for all involved in teaching and learning in higher education.

Hubungan antara Penggunaan Media Sosial, Aktivitas Fisik dan Tingkat Stres Terhadap Status Gizi Usia 18 – 25 Tahun Di RW.03 Kelurahan Kebayoran Lama Utara

Nutritional problems in adults are affected by the use of social media which results in increased sedentary activity which can cause nutritional problems and increased stress levels. The increase in stress levels affects the increase in food intake so it can affect nutritional status. The general purpose of this study was to analyze the relationship between social media usage, physical activity, stress levels and nutritional status of adults in 3rd Hamlet North Kebayoran Lama, South Jakarta. This type of research is quantitative study with cross-sectional design approach. Primary data collected in this study included nutritional status, social media usage, physical activity, and stress levels in age 18 – 25 years in 3rd Hamlet North Kebayoran Lama, South Jakarta. Secondary data was obtained from journals, articles, literature, and sites related to research. The sample for this study was 63 residents who were selected by purposive sampling according to inclusive and exclusive criteria. Chi Square was used to analyze the data. The results of this study revealed that there was no relationship between the use of social media and nutritional status (p = 0.223), there was no relationship between physical activity and nutritional status (p = 0.181), there was a relationship between stress levels and nutritional status (p = 0.005). From this study, it was concluded that there is relationship between stress levels and nutritional status in age 18 – 25 in 3rd Hamlet North Kebayoran Lama.

A study on substance abuse awareness and usage trends within the construction sector

Purpose To address safety risks, worker well-being concerns and productivity losses in construction due to substance misuse, this study aims to explore awareness and usage levels of various substances among Nigerian construction professionals. The findings aim to inform targeted interventions and policy development to tackle these industry-specific challenges. Design/methodology/approach A comprehensive literature review identified several substances and intoxicants commonly used in construction, which informed the development of a well-structured questionnaire. This questionnaire was distributed to both construction professionals and nonprofessionals. The Shapiro-Wilk test assessed the normality of awareness and utilization scores for each substance, while the Kruskal-Wallis H-test explored significant differences in awareness and usage scores among different respondent groups. Findings Despite reporting low awareness of substances commonly used in construction, a significant proportion (over 60%) of respondents admitted to using several of these substances in their construction activities. This highlights a concerning disconnect, with more than half (62.5%) exceeding a predefined threshold (3.5) for significant substance use. Ten out of the 16 substances surveyed fell into this category, indicating a widespread issue within the industry. Practical implications The findings of this study highlight the need for increased education and awareness programs about the dangers of substance misuse in the construction industry. Construction companies should implement regular training sessions and workshops to educate workers on the risks associated with substance use. Additionally, there should be stricter enforcement of substance use policies and routine substance testing to deter misuse. These measures can enhance safety, improve worker well-being and boost overall productivity in the construction industry. Originality/value The insights from this study can inform the development of international policies and best practices for substance use prevention and worker well-being in the construction industry. Sharing these findings with international organizations, policymakers and industry stakeholders can help create broader guidelines and frameworks adaptable for implementation in various countries.

The status of extended reality technology in South Africa's mining industry

The economic upheaval of COVID-19 forced companies to invest in emerging technologies to aid recovery. One such technology is extended reality, which is becoming a mature and innovative tool. Early adopters are seeing significant benefits in learning, training, immersive data visualization, and remote assistance. In South Africa, the mining industry is increasingly interested in using extended reality to optimize and innovate operations. The Minerals Council of South Africa's July 2021 report highlighted the potential of extended reality's to achieve zero-harm production and modernize the industry. However, the extent of extended reality adoption in mining remains unclear due to limited information on its usage. This study addressed this gap by distributing an online survey to assess awareness, knowledge, and current uses of extended reality in South Africa's mining sector. The results indicated that virtual and augmented reality had the highest levels of awareness and usage, primarily for learning and training. Mixed reality, however, had the lowest awareness and knowledge levels. In terms of applications, visualization and remote assistance had the least use cases. These findings highlight that the South African mining industry is deficient in its understanding and use of extended reality technologies. Without better awareness and application, the South African industry risks missing out on the full benefits of extended reality. The study underlines the need for the South African mining industry to improve its outlook on extended reality technologies to fully leverage their potential applications and benefits.

Exploring the Usage Effectiveness of a Nursing Charge System.

The nursing charge system for inpatient accounting has been utilized in healthcare institutions for years. However, the level of its effectiveness in meeting the needs of nursing services, including further development, has not been systematically evaluated. A cross-sectional study based in Delone and McLean's information system success model was applied to explore the level of effective nursing charge system usage across the five dimensions of system quality, information quality, service quality, user satisfaction, and net benefits. We conducted a survey of the inpatient units of a medical center in Taiwan from June 23, 2021, to July 23, 2021. A total of 214 valid questionnaires were collected. Using a 5-point Likert scale, the dimension with the highest score was information quality (3.71), followed by service quality (3.37), user satisfaction (3.36), net benefits (3.31), and system quality (3.23). Older nurses ( r = -0.176) and those with more clinical experience ( r = -0.151) viewed the nursing charge system as having less information quality. The comfort level with using the computer was positively associated with system quality ( r = 0.396), information quality ( r = 0.378), service quality ( r = 0.275), user satisfaction ( r = 0.417), and net benefits ( r = 0.355). The opinions of nurses are vital. User feedback and advice should be investigated regularly to achieve system optimization.

Quantifying urban park use in the USA at scale: empirical estimates of realised park usage using smartphone location data

A large body of evidence connects access to greenspace with substantial benefits to physical and mental health. In urban settings where access to greenspace can be limited, park access and use have been associated with higher levels of physical activity, improved physical health, and lower levels of markers of mental distress. Despite the potential health benefits of urban parks, little is known about how park usage varies across locations (between or within cities) or over time. We estimated park usage among urban residents (identified as residents of urban census tracts) in 498 US cities from 2019 to 2021 from aggregated and anonymised opted-in smartphone location history data. We used descriptive statistics to quantify differences in park usage over time, between cities, and across census tracts within cities, and used generalised linear models to estimate the associations between park usage and census tract level descriptors. In spring (March 1 to May 31) 2019, 18·9% of urban residents visited a park at least once per week, with average use higher in northwest and southwest USA, and lowest in the southeast. Park usage varied substantially both within and between cities; was unequally distributed across census tract-level markers of race, ethnicity, income, and social vulnerability; and was only moderately correlated with established markers of census tract greenspace. In spring 2019, a doubling of walking time to parks was associated with a 10·1% (95% CI 5·6-14·3) lower average weekly park usage, adjusting for city and social vulnerability index. The median decline in park usage from spring 2019 to spring 2020 was 38·0% (IQR 28·4-46·5), coincident with the onset of physical distancing policies across much of the country. We estimated that the COVID-19-related decline in park usage was more pronounced for those living further from a park and those living in areas of higher social vulnerability. These estimates provide novel insights into the patterns and correlates of park use and could enable new studies of the health benefits of urban greenspace. In addition, the availability of an empirical park usage metric that varies over time could be a useful tool for assessing the effectiveness of policies intended to increase such activities. Google.

A machine learning model for predicting phishing websites

There are various types of cybercrime, and hackers often target specific ones for different reasons, such as financial gain, recognition, or even revenge. Cybercrimes are not restricted by geographical boundaries and can occur globally. The prevalence of specific types of cybercrime can vary from country to country, influenced by factors such as economic conditions, internet usage levels, and overall development. Phishing is a common cybercrime in the financial sector across different countries, with variations in techniques between developed and developing nations. However, the impact, often leading to financial losses, remains consistent. In our analysis, we utilized a dataset featuring 48 attributes from 5,000 phishing webpages and 5,000 legitimate webpages to predict the phishing status of websites. This approach achieved an impressive 98% accuracy.