Increase In Internet Usage Research Articles

Study of Internet addiction among medical students

Background Internet addiction is a serious and growing problem. There is an emerging public health concern over the increase in Internet usage, particularly among adolescents. Aim The purpose of this study was to assess the pattern of Internet use among university students and to evaluate the personality and the associated psychiatric disorders with students of Internet addiction. Participants and methods A total of 300 medical students were subjected to the Internet Addiction Test (IAT) developed by Young in 1998. Personality evaluation by Eysenck Personality Questionnaire and psychiatric interview by Arabic version of Mini-International Neuropsychiatric Interview were done for Internet addicts to assess any associated personality or psychiatric disorders. Results Students were divided into four Internet user groups according to their IAT total scores: normal Internet users (n=117, 39.0%), mild Internet addicts (n=116, 38.7%), moderate Internet addicts (n=64, 21.3%), and severe Internet addicts (n=3, 1.0%). Males were more prone than females to develop severe forms of Internet addiction. Family environment had a major effect on developing Internet addiction. Neurotics and introverts were more susceptible to develop Internet addiction than others. Depression and anxiety were significantly associated with Internet addiction. Conclusions This study suggests that students who use the Internet excessively exhibit significantly more psychiatric symptoms than students who use the Internet less frequently. In addition, pathological Internet addicts appear to have a distinctive personality and social profile when compared with nonpathological users.

Financial Literacy and Its Impact on Fraud Detection of Indonesia's Generation Z

Everyone in the world had to adjust their way of life during the Covid-19 epidemic, since lockdown and quarantine measures were enacted in the majority of countries. As a result, social engagement and communication were forced to take place through the internet. Consequently, as in the case of Indonesia, the number of internet users expanded dramatically over this time period. With an increase in internet users and activity comes an increase in financial fraud. According to this study, Financial literacy has an effect on someone's capacity to spot fraud. From investigating through various literature and conducting surveys, Individuals with a high score in both financial knowledge and behavior have a better capacity to identify fraud. It might also be claimed that Indonesia's youth generation have financial literacy knowledge and skills. As technology advances, more research with the inclusion of digital literacy may be conducted. This will help people to get understanding of the digital world as well as financial expertise.

Possibilities of Nursing High Education in the Context of COVID-19 - Reality and Perspectives

Aim/objective: The Covid-19 pandemic has swept the world and affected our daily life in various ways. While this impact is often negative, it has pushed some areas for development, overcoming challenges, and generating new opportunities. This article reviews the problem, its triggers, consequences, and perspectives. Background: The education sector faced a challenge at the beginning of the pandemic of maintaining security and high-quality teaching simultaneously, especially since there was no online teaching experience. Healthcare faculties were at the forefront of such difficulties, as the training included not only theoretical but also simulation and practical teaching, the implementation of which was initially unimaginable. Design and Methods: The article reviews and describes the global situation through secondary data analyses published in SCOPUS and PubMed from 2020-2022. Also, an analysis of survey results conducting in May 2020 at the University of Georgia (UG) School of Health Sciences. Results and Conclusions: To formulate the main difficulties will be taken list: teaching, research, and communication. Along with education, the challenge was increasing Internet usage, which in many cases led to delays in the teaching-learning process. Creating virtual platforms and developing online pedagogy is undoubtedly a significant pandemic challenge.

Cyber Threats Prediction Model using Advanced Data Science Approaches

In the era of technology and the widespread use of the internet, internet users' data and personal information are more at risk. Among various cyber-attacks, DDOS is one of the most dangerous cyber-attacks, which uses single or multiple victims for the unavailability of resources on a small and large scale. The amount and intensity of cyber attacks are also increasing gradually with increasing internet usage. So, defensive strategies are also built with time to protect a network and network devices from many breaches and attacks attempted by many cyber terrorists. Instead of traditional defense mechanisms, data science makes it impressive and easy to predict and detect cyber attacks. This study proposed a data science-based prediction model using a substantial dataset CICDDOS2019. In this research, different models of Machine Learning, e.g., Decision Tree, Random Forest, SVM, and Naïve Bayes, are applied after making this dataset clean and considering the best relevant features for getting maximum accuracy to detect and predict the cyber threats.

The Paradox of Indonesia Cyberspace Policy and Cooperation: Neoclassical Realism Perspective

Cyberspace is a new threat to state security, especially in Indonesia. The increase of internet users in Indonesia is followed by several policies Jakarta takes to adapt to the fast pace of cyberspace challenges. To manage cyberspace in Indonesia, the government has developed ITE Law to regulate Indonesia’s cyberspace and prevent threats coming from within. Moreover, realizing cyberspace offers many opportunities. The government also cooperates with other actors like ASEAN to formulate ASEAN Digital Masterplan to enhance cyberspace contribution toward economic recovery after the COVID-19 pandemic. However, there is a contradiction between ITE Law, especially the Regulation of the Minister of Communication and Informatics No. 5 of 2020, and the cyberspace cooperation that the government tries to impose. These phenomena raise the question of why the Indonesian government takes contradiction policy on cyberspace between domestic and international levels. This research examined the reason behind the paradoxical policy of the Indonesian government’s ITE Law and the ASEAN Digital Masterplan regarding cyberspace policy, especially from 2016 to 2021. A qualitative method was employed to achieve the objective, with disciplined configurative reports and government documents regarding its cyber policy as the data. The data were analyzed using the theory of neoclassical realism to identify the Indonesian government’s cyberspace policy behavior on domestic and international levels. This paradoxical situation between the domestic and international levels of the Indonesian government’s cyberspace policy was created by how the Indonesian government identified threats. The Indonesian government still faced instability at the domestic level to identify the category of threats toward the regime due to the inheritance of the authoritarian regime government model it experienced before. The opposite response at the international level occurred because the socialization and institutionalization in the region have created strategic culture. Accordingly, the strategic culture of cyberspace has restricted the Indonesian government from applying the same idea at the domestic level. The Indonesian government should adapt the popular strategic culture at the international level to ensure prestige.

Design and development of the application monitoring the use of server resources for server maintenance

Abstract Websites must assure web server availability in light of the worldwide increase in internet users. Web server monitoring is the process of examining web application server utilization by showing data in the form of statistics or graphs. Data about web server use will help server owners make decisions about server availability. The purpose of this study is to create a web monitoring program capable of retrieving and storing data from Java application server resources. The research methodology utilized in this study is divided into two phases: data gathering and software development. The data gathering step includes doing a literature study, conducting a survey, distributing questionnaires, and analyzing comparable apps. The development phase employs the waterfall methodology. The outcome of this study is a web application that can monitor the Java application server’s resource use and send email alerts when resource usage becomes excessive. To summarize, web application server monitoring may be utilized to alleviate developer workload.

PKM Pendampingan Digital Marketing untuk Meningkatkan Penjualan UKM Produksi Tahu di Desa Brani Kulon

Internet-based technology has a great impact on the business world. In addition, technological developments also create great business opportunities. But on the other hand, the increase in internet users is not followed by an increase in the ability of SMEs, especially SMEs to produce tofu by Mrs. Suraye in Brani Kulon Village. The lack of knowledge of the owners of SMEs producing tofu, Mrs. Suraye in Brani Kulon Village, about digital marketing has inspired the community service team to provide assistance and use information and communication technology. Then you can practice it directly by using the Google Maps application and the Tokopedia marketplace. The method used in this service is mentoring and training SME partners in tofu production in using digital marketing for their business. The target to be achieved in this community service is the implementation of digital marketing assistance to increase sales of tofu production SMEs. The result of this service activity is an increase in the knowledge and skills of SME owners in the use of technology, especially the Google Maps application as a means of information on the location of SMEs and the use of Tokopedia accounts as a medium for online sales. The impact of digital marketing is very influential in the expansion of the marketing network so as to increase the sales of MSMEs producing Mrs. Suraye tofu.

The Effect of the Internet on Inflation: A Research on ASEAN-5 Countries

Information and communication technologies have become widespread with the onset of globalization, affecting almost every facet of human life. Increasing internet usage has made accessing information swift and easy. The internet has also had a significant economic impact and provided financial benefits to nations all around the world to increase productivity and efficiency and reduce costs. Customers had been able to access products at lower prices as a result of the reduction in market entry barriers and search costs, which led to an increase in competition in the markets. The research aimed to investigate the effect of the internet on inflation in ASEAN-5 countries (Indonesia, Malaysia, Philippines, Singapore, and Thailand). Consumer prices (annual %) were used as an indicator of inflation, and individuals using the internet (% of population) were used as an indicator of internet usage. Control variables such as unemployment rate, real interest rate, energy use and money growth were also included in the research. Panel data analysis was performed using the data of ASEAN-5 countries covering the period of 1994-2014. Pooled least squares method (Pooled OLS) was applied to obtain an estimation of the model. As a result, it is found that as internet usage increases, inflation rates decrease in ASEAN-5 countries.

Effective data management strategy and RDD weight cache replacement strategy in Spark

With the dramatic increase in internet users and their demand for real-time network performance, Spark has distributed computing environment has emerged. It is widely used due to its high-performance caching mechanism and high scalability. In the face of the unpredictability of data access patterns in the current big data environment, the data shuffling phase is prone to the problems of under-utilization of Spark cluster resources, high computational latency, and high task processing latency. Based on this, this paper proposes an intermediate data management strategy based on the data shuffling phase. Firstly, the size of the data generated in the data shuffling phase of the Spark platform is predicted by random sampling. The strength division strategy obtains the skewed data degree to obtain the part with excessive skew deviation. Finally, the adaptive data management strategy is applied to perform the corresponding computation tasks by the data deviation. In addition, to improve the response time, memory usage, and computation latency of Spark applications, an adaptive cache replacement algorithm based on RDD partition weights is proposed, which takes into account the influence of four weight factors such as computation cost, usage times, partition size and life cycle of RDDs by reasonably calculating the RDD partition weight values. Compared with the current mainstream baseline algorithms, the data management algorithm based on the data mash-up phase proposed in this paper can effectively reduce resource usage and computational response latency. The RDD-based partition weighted adaptive cache replacement algorithm proposed in this paper can fully use memory resources and effectively reduce the problem of resource wastage.

CHALLENGES, OPPORTUNITIES AND REMEDIES OF BUSINESS AND ECONOMICS IN THE DIGITAL ERA: AN OVERVIEW

This notion of this article is to explore the challenges, opportunities and suggest amicable solutions as remedies to overcome the challenges by applying the prevailing opportunities in the eld of business and economics in the digital era. Accordingly, certain challenges of the digital era are incorporated which include: Automation, Blockchain Technologies, Change Management, COVID-19 Pandemic Era, New Skill, e-commerce, Expansion of Industries, Security Threats, Digital Age, Information and Communication infrastructure, Infrastructural Challenges, Focus on the Environment, Labor and Social Relations, Lack of Clear and Dened Rules, National Data Regulations, Security and Privacy, Skills Challenges, Tax Regulation, Technology and Jobs Scare, and Trade Facilitations. Besides the challenges, opportunities to make use of the digital era particularly in business and economics are also taken in the study and they are: Blockchain Technology, Communication Services, Digital Transformation, Digitalization, Digitalization and Gender Equality, Domestic Resource Mobilization, e-commerce, e-commerce Development, Growth Creative Sector, Increased Internet Usage, Innovation, Digital Technologies, Internet Technologies, Labour-intensive Sectors, Marketing and Sales, Online Marketing, Production Processes, Reduction in Trade Costs, Technology Transformation and Technology and Public Service Provision. In order to overcome the challenges and make use of the opportunities, the following amicable and remarkable solutions are suggested and they are: Attention to Policymakers, Specic Strategies and Innovative Policies, Financial Assistance, High Skilled Labour Force, Improving Trade Logistics, Innovation Capacity, Responsible Role Makers, Role of Government, Role of International Community and The National e- strategy.

Effect of COVID-19 on Internet Usage of People with Disabilities: A Secondary Data Analysis.

The coronavirus disease (COVID-19) pandemic has led our society to lead a life different than before. People, including those with disabilities, have come to rely on information from the Internet. However, there is a lack of empirical studies on the impact of the pandemic on the Internet usage of people with disabilities. To address this gap, this study analyzed data from the 2020 Digital Divide Survey, which comprised data on 7000 non-disabled people and 2200 people with disabilities. This was used to compare the changes in usage of Internet services, and awareness and experience of COVID-19-related non-face-to-face services among non-disabled people and people with physical disabilities, brain lesions, visual impairments, hearing impairments, and language impairments. People with and without disabilities reported increased internet usage, but the increase was significantly higher in the non-disabled population than in people with disabilities (p < 0.05), except for people with language impairments. Specific changes to service usage, experience, and usefulness were different according to the type of disability. The non-disabled population showed a significantly greater increase in the use of social participation services than people with physical disabilities (p < 0.05). The results of this study suggest that digital services need to be developed flexibly to address the unique needs of people with different types of disabilities.

Effect of Parental Perception on the Prevalence of Adolescent Internet Gaming Disorder During the COVID-19 Pandemic.

Objective During the coronavirus disease (COVID-19) pandemic, several studies have found that Internet usage and gaming times have increased among adolescents. Parents’ Internet literacy and attitudes toward Internet gaming have been reported to affect children’s Internet gaming disorder (IGD). We hypothesized that parents’ attitudes toward Internet use and gaming would affect the prevalence of IGD among adolescents. Methods A total of 199 mothers of children who played Internet games were surveyed online to gather information regarding their demographic characteristics, children’s Internet use patterns, psychological factors, and Internet gaming literacy. Results Among adolescents, increased Internet usage or gaming time was not associated with IGD, but the presence of attention deficit hyperactivity disorder (ADHD) was. Among parents, anxiety, depression, and family togetherness were not related to IGD, but a positive perception of gaming protected against the development of IGD, whereas a negative perception was a risk factor for IGD. Conclusion Increased gaming time neither causes nor correlates with IGD in adolescents, even though ADHD may be a risk factor for IGD. Parents’ positive or negative perceptions of gaming can be protective or present a risk factor, respectively, for their children’s development of IGD.

The Relationship of Social Media Addiction With Internet Use and Perceived Health: The Moderating Effects of Regular Exercise Intervention.

The popularity of online social media in recent years has not only brought information and social convenience to people's lives, but has also given rise to many problems, among which social media addiction (SMA) has become a concern of many scholars and experts. Past research has shown that regular exercise (REx) can have many health benefits for the body, so numerous scholars and experts believe that this may be one possible strategy for reducing the health effects of online community addiction and Internet use (IU). Therefore, this study adopted a secondary data research approach to explore and predict the effect of age on social media use and personal health, and therefore included age as a control variable to investigate whether the intervention of REx, excluding the effect of age, moderates the effect of SMA on IU and on perceived health (PH). The participants of this study were adults aged 18 years or older in Taiwan, using the 2019 “Survey Research Data Archive,” Vol. 7, No. 5 data. A total of 1,933 questionnaires were retrieved, and after elimination of invalid responses, 1,163 data were analyzed using Partial Least Squares Structural Equation Modeling, PLS-SEM. The results were as follows: (1) SMA positively affected IU, (2) SMA could negatively affect PH, (3) there was no statistical effect of IU on PH, (4) SMA did not indirectly affect PH through IU, (5) REx had a moderating effect on SMA and IU, and (6) REx did not regulate the effect of SMA on PH. First, from these results, it is clear that the negative health effects of SMA may not be simply due to prolonged IU. Secondly, while it is true that the moderating effect for people with low levels of SMA can reduce IU, for people with high levels of SMA, the moderating effect of REx becomes a catalyst for increased Internet usage behavior. Finally, we draw conclusions based on the results of the study and propose directions and recommendations for follow-up research.

Hate Speech Detection using ML Algorithm

The difficulties that must be overcome when dealing with hate speech are not new. Hateful acts on social media have increased dramatically in recent years as a result of increased internet usage. Thanks to advancements in technology, it is now possible to provide a platform where people may freely express their thoughts and experiences. If this is the case, it will not be a problem. However, we sometimes witness hostile comments circulating on social media that are directed at a specific person or group. Hate speech is a statement that discriminates against a person or a group of people based on caste, creed, nationality, or other factors. Our study tries to address the aforementioned issue by utilising Deep Learning techniques to recognise hate speech and categorise it into several categories such as extremely positive, negative, or neutral. For classification, the SVM method was utilised.

Novel Approach for Intrusion Detection Using Simulated Annealing Algorithm Combined with Hopfield Neural Network

With the continued increase in Internet usage, the risk of encountering online threats remains high. This study proposes a new approach for intrusion detection to produce better outcomes than similar approaches with high accuracy rates. The proposed approach uses Simulated Annealing algorithms [1] combined with Hopfield Neural network [2] for supervised learning to improve performance by increasing the correctness of true detection and reducing the error rates as a result of false detection. The proposed approach is evaluated on an intrusion detection data set called KDD99[3]. Experimental tests demonstrate the potential of the proposed approach to rapidly detect high precision and efficiency intrusion behaviors. The proposed approach offers a 99.16% accuracy rate and a 0.3% false-positive rate.Department of Information Technology,

Technology facilitated sexual violence: a comparative study between working and non-working females in Egypt before and during the COVID-19 pandemic

BackgroundDuring the COVID-19 pandemic, quarantine measures policies increased Internet usage, leading to technological hazards as technology facilitated sexual violence (TFSV).AimThe current work aimed to assess TFSV among working and non-working Egyptian females before and during COVID-19.MethodsThe current work is a cross-sectional observational comparative study using an anonymous online questionnaire distributed through social platforms among working and non-working Egyptian females.ResultsTFSV was reported by 50.3% of the participants; however, regarding some forms of digital sexual violence, there was a significant decrease during COVID-19 lockdown than before it, considering; threatened creation form (7.8%, 12.0%; p = 0.017); non-consensual pornography (31.4%, 51.9%; p < 0.001) and online sexual harassment and cyber-stalking types (80.9%, 89.4%; p < 0.001). Only 17.3% of the study participants knew the identity of the perpetrator. TFSV led 6.4% to abstain from social media, and 3.9% reported the incident to a law agency.ConclusionsThe current study revealed that almost half of women experienced TFSV. Although time spent on the Internet by the whole participants during the pandemic was significantly higher than before, there was a significant decrease in some types of TFSV. The current study revealed that divorced females working in non-governmental sectors experienced harassment more significantly than others. There is crucial importance to set laws and penalties against perpetrators of TFSV to provide a safe technological environment for women.

Power consumption management in hybrid optical – Wireless access network

The power consumption of access networks is the major – concern of today scientific community. The demand for high data rates along with the rapid increase of internet users requires power efficient access technologies. In this paper, a mixed integer linear programming (MILP) model is developed to minimize the overall power consumption in optical – wireless access network. To test the model, a random traffic profile has been generated and analyzed. The results show that powering off some active devices during low traffic times effectively reduces the network power consumption. Also, the using of the mixed integer linear programming (MILP) model under different traffic profile ratios results in a significant drop in power consumption by about 31%, 23% and 20% at different traffic values.

Analysing the Mediating Effect of Social Media on Online Shopping Using Partial Least Square

Introduction: Online shopping has become more popular due to increased internet usage, and social media has dramatically influenced and modified customer behavior and decisions to buy from online businesses. Because people are busy and have hectic schedules, online shopping has become increasingly popular in the twenty-first century. Therefore, this study aimed to examine the mediating effect of social media on online shopping behavior in Nigeria. Methodology: The study used quantitative approach and self-administered questionnaires were used to collect data from 380 online shoppers. The study employs the partial least square structural equation modelling (PLS-SEM) approach to identify critical dimensions influencing online shopping behavior in Nigeria and to explore the correlational relationships among constructs. Results: The results and applications of PLS-SEM evolve a variety of findings; advertising had an insignificant effect on online shopping behavior, while a positive relationship was found between advertising and social media effect. Similarly, the proposed relationship between social media effect and online shopping behavior is supported. In contrast, the projected relationship between trust and online shopping behavior is significant. Finally, the result revealed a strong correlation between trust and online shopping behavior. Implication: The study contributed to the existing literature and have significant practical implications that can help managers and marketers of online stores to take measures on factors that may influence online shopping behavior in Nigeria.

Design of a DFS to Manage Big Data in Distance Education Environments

Information technologies have invaded every aspect of our lives. Distance education was also affected by this phase and became an accepted model of education. The evolution of education into a digital platform has also brought unexpected problems, such as the increase in internet usage, the need for new software and devices that can connect to the Internet. Perhaps the most important of these problems is the management of the large amounts of data generated when all training activities are conducted remotely. Over the past decade, studies have provided important information about the quality of training and the benefits of distance learning. However, Big Data in distance education has been studied only to a limited extent, and to date no clear single solution has been found. In this study, a Distributed File Systems (DFS) is proposed and implemented to manage big data in distance education. The implemented ecosystem mainly contains the elements Dynamic Link Library (DLL), Windows Service Routines and distributed data nodes. DLL codes are required to connect Learning Management System (LMS) with the developed system. 67.72% of the files in the distance education system have small file size (&lt;=16 MB) and 53.10% of the files are smaller than 1 MB. Therefore, a dedicated Big Data management platform was needed to manage and archive small file sizes. The proposed system was designed with a dynamic block structure to address this shortcoming. A serverless architecture has been chosen and implemented to make the platform more robust. Moreover, the developed platform also has compression and encryption features. According to system statistics, each written file was read 8.47 times, and for video archive files, this value was 20.95. In this way, a framework was developed in the Write Once Read Many architecture. A comprehensive performance analysis study was conducted using the operating system, NoSQL, RDBMS and Hadoop. Thus, for file sizes 1 MB and 50 MB, the developed system achieves a response time of 0.95 ms and 22.35 ms, respectively, while Hadoop, a popular DFS, has 4.01 ms and 47.88 ms, respectively.

The Digital Economy and the Importance of Technology in Economic Growth

This study investigates internet users, economic growth and digital. This study investigates data at the start point year of 2000 to 2020 to generate "autoregressive vectors" that can be utilize for determine relationship among the variables. This model is to analyze among growth of the economic, the individual user from internet, also there is digital economic spending at Indonesia using secondary data from the World Bank. We discovered there is a development of digital economy who has a substantial and has influence on the growth of economic, implying that there is digital economy is critical to economic progress, but the growth of the modern economy cannot being separated from the influence of internet users. This study proves that a decrease in internet users will increase economic growth, just as an increase in the economy when it declines will lead to an increase in internet users.