Availability Of Internet Access Research Articles

A Pupil-Centric Analysis in the Teaching- Learning Process of Information Technologies Using ICT in Albanian Schools

In the digital age, the importance of ICT education and the challenges of the education sector cannot be overstated. The aim of this study was to evaluate the current situation in the tenth to twelve grade pre-university institutions through a questionnaire administered by the pupils in those classes. The questionnaire specifically requested feedback regarding the teaching quality in ICT, the functionality of ICT laboratories in their schools, the adequacy of ICT equipment used during lessons, the availability of internet access on school premises, the utilization of various software for ICT learning, and the specific areas within ICT where students required additional learning.

How to Enhance Public Participation in Environmental Governance? Evidence from China

Public participation in environmental governance plays a pivotal role in fostering a healthy and sustainable relationship between society and the environment. Despite the convenience afforded by the internet, the level of participation among Chinese citizens remains notably low. Thus, enhancing public enthusiasm for environmental governance is imperative, particularly given the paucity of academic research in this area. To address this gap, we employed the volume of messages on a leadership message board as a proxy for measuring the motivation behind public participation in environmental governance. Utilizing a provincial panel regression analysis, we investigated the determinants of public participation and subsequently conducted a mechanism analysis. Our findings reveal that deteriorating local air quality correlates with heightened motivation for public involvement in environmental governance. Additionally, increased public attention to environmental issues significantly amplifies this motivation, with the availability of internet access and the degree of emphasis placed by local governments on public participation further facilitating this process. This study contributes a theoretical and empirical foundation for enhancing public engagement in environmental governance, thereby fostering the development of a sustainable society.

Data correlation matrix-based spam URL detection using machine learning algorithms

In recent years, the widespread availability of internet access has brought both advantages and disadvantages. Users now enjoy numerous benefits, including unlimited access to vast amounts of information and seamless communication with others. However, this accessibility also exposes users to various threats, including malicious software and deceptive practices, leading to victimization of many individuals. Common issues encountered include spam emails, fake websites, and phishing attempts. Given the essential nature of internet usage in contemporary society, the development of systems to protect users from such malicious activities has become imperative. Accordingly, this study utilized eight prominent machine learning algorithms to identify spam URLs using a large dataset. Since the dataset only contained URL information and spam classification, additional feature extractions such as URL length and the number of digits were necessary. The inclusion of such features enhances decision-making processes within the framework of machine learning, resulting in more efficient detection. As the effectiveness of feature extraction significantly impacts the results of the methods, the study initially conducted feature extraction and trained models based on the weight of features. This paper proposes a data correlated matrix approach for spam URL detection using machine learning algorithms. The distinctive aspect of this study lies in the feature extraction process applied to the dataset, aimed at discerning the most impactful features, and subsequently training models while considering the weighting of these features. The entire dataset was used without any reduction in data. Experimental findings indicate that tree-based machine learning algorithms yield superior results. Among all applied methods, the Random Forest approach achieved the highest success rate, with a detection rate of 96.33% for the non-spam class. Additionally, a combined and weighted calculation method yielded an accuracy of 94.16% for both spam and non-spam data.

An Experiment to Prevent Malicious Actors from Compromising Private Digital Assets Over a Public Network

In the current millennium, human society has immensely improved its ability to obtain and distribute information. This change on the other hand, has caused the majority of daily routines to actively involve the usage of computers and mobile devices, which in turn has made people rely heavily on the availability of internet access. This fact was taken advantage of, causing a massive increase in public networks by people or businesses to draw in customers or just as simple public service. This increase gives both ease and risks which this paper will address, specifically on the security measures in network devices that are nearby, and the solution proposed to provide complementary insight on securing the technologies. The authors of this paper supply the main point of the research through experimental efforts i.e., by testing the solution in a real-life scenario. The solution itself involves the configuration of a Raspberry Pi into a VPN server and rerouting all traffic into the Raspberry server so that it will be encrypted and safe from the dangers that will be mentioned in later parts of this paper. The result of the experiment shows that the proposed solution can successfully encrypt the targeted packet so it can’t be read by malicious attackers. Although the solution works it can’t be simply applied to every public network due to internet connection protocols and its inconvenience. Future research will involve the improvement or rework of the solution until the issues mentioned above are solved.

An Investigation of the Relationship Between Parents’ Socioeconomic Standards and their Children’s Online Safety; Perspective: Bangladesh

"The field of child-computer interaction has garnered significant interest from researchers worldwide. Nevertheless, the discourse around the protection of children’s digital safe, that includes privacy and security remains significantly underrepresented in both Bangladesh and the broader global south. In situations where a significant portion of senior and adult persons lack awareness regarding optimal strategies for effectively utilizing digital gadgets and tools, it is difficult to anticipate a higher level of proficiency among younger individuals. Privacy generally encompasses the capacity of individuals to exercise control over, get access to, and govern their personal data. In contrast, the security system serves to mitigate the risk of unauthorized access, data leakage, or cyber intrusions, therefore safeguarding the data from potential compromise. Previous studies have indicated that the responsibility for safeguarding the digital privacy and security of children lies with both parents and children themselves. Regrettably, a dearth of scholarly investigations exists within the domain, hindering the ability to systematically monitor and analyze the potential relationship between parental socioeconomic status and the privacy and safety of their offspring. This research aims to discover the correlation. This study employed semi-structured interviews with a sample of 48 parents and 42 children from diverse socioeconomic backgrounds, including high income, middle income, and low-income groups. The collected data were subjected to statistical analysis. The findings of this study indicate that children from high income families are more susceptible to online safety issues compared to their counterparts from low-income households. This vulnerability is attributed to factors such as the widespread availability of internet access and personal digital devices, greater purchasing power on online platforms, and a lack of parental monitoring. This study presents a limited number of recommendations for parents and children across various socioeconomic backgrounds in order to enhance the state of internet safety for children."

Overlaying DAQ Systems on Existing Control Systems for Modernizing Power Plants to Realize Industry 4.0

In Industry 4.0, digital technologies are integrated with control systems to use enterprise applications and data analytics to improve the efficiency and productivity of industrial processes. However, power plants in Sri Lanka are yet to get such applications primarily due to lack of data acquisition capabilities, high cost of control systems supplied with data analytic applications and lack of awareness about the capabilities of such applications.Though data analytic applications can be developed locally, obtaining data from power plants cannot be done without changing the existing control systems. This paper proposes a model to overlay a Data Acquisition System (DAQ) on top of the existing plant control system without replacing it. The acquired data can be used for Industry 4.0 applications. Due to the loose coupling of the control systems, DAQ and data analytic applications, each can be updated independently preserving each system’s investment.To demonstrate the model, an implementation of DAQ in hydropower plants in Sri Lanka in the 2000s - at a time when data analytics was not considered a part of the power plant control systems and data communication was not readily available- is discussed. Many faults were detected by these DAQs. The local development saved about Rs. 30 million for the Ceylon Electricity Board (CEB). Early fault detection would have saved billions of rupees for the CEB and Sri Lanka. This development shows the ingenuity of the engineers of the CEB at a juncture where the services and the financial operation of the CEB are questioned.Due to the availability of Internet access and the advancement of cloud systems at present, data analytics and AI applications are within the reach of power plants in Sri Lanka. By implementing the proposed model to collect data from existing control systems, the Sri Lankan Power Utility (CEB) can consider implementing Industry 4.0 applications locally without spending an excessive amount of foreign currency.

Development and Formative Evaluation of a Virtual Exercise Platform for a Community Fitness Center Serving Individuals With Physical Disabilities: Mixed Methods Study.

People with disabilities experience numerous barriers to being physically active, such as transportation issues, a lack of trained exercise professionals who understand disabilities, and facility access. The use of a virtual exercise platform (VEP) may provide an alternative and limit certain barriers. The aim of this mixed method study was to evaluate user interaction (effectiveness, efficiency, and satisfaction), the strengths and weaknesses of the user interface, and the user experience with a VEP. Participants were recruited from a community fitness facility that offers programs for people with disabilities. Inclusion criteria were being older than 18 years, fluent in English, and availability of internet access. Features of the VEP included articles, prerecorded videos, live Zoom classes, web-based class registration, weekly progress tracking, incentives, and surveys. A one-on-one Zoom session was scheduled with each participant, during which they completed certain tasks: (1) create an account or login, (2) register for class, (3) join class, (4) add to calendar, and (5) complete surveys. As participants completed tasks, quantitative observations (time on task, task success, rate of task completion, and number of errors by users, which determined task difficulty), qualitative observations were made and interviews were conducted at the end of the session. The "concurrent think-aloud" method was encouraged by the moderator to gauge participants' thoughts as they worked through testing. Participants also completed the System Usability Scale (SUS) and Questionnaire for User Interface Satisfaction (QUIS). A total of 5 people with disabilities (3 male, 2 female), aged 36-78 (mean 54) years, with education levels from high school to PhD, were recruited. Devices used for testing included a laptop (n=3), a Chromebook (n=1), and a desktop (n=1). All participants completed tasks #1 and #2 without errors but could not complete task #4. One participant completed task #5 with difficulty and another completed task #3 with difficulty. The average time to complete each task was: (1) 82 seconds (55-110), (2) 11 seconds (4-21), (3) 9 seconds (5-27), and (4) 921.5 seconds (840-958). The mean SUS score was 86.5/100, and the mean user QUIS score was 8.08 out of 10. Qualitative observations indicated that the system was simple, user-friendly, and accessible. People with disabilities reported high usability and user satisfaction with the web-based exercise platform, and the system appears to be an efficient and effective physical activity option.

ЦИФРОВЫЕ ТЕХНОЛОГИИ В РЕЖИМЕ ДНЯ УЧАЩИХСЯ ПЯТЫХ КЛАССОВ ШКОЛ С РАЗНОЙ СТЕПЕНЬЮ ИНФОРМАТИЗАЦИИ

The relevance of research is dictated by the widespread computerization of the educational process and leisure of adolescents. Emotional, specific stress arising under the influence of EC generates sleep disturbances, rhythmic processes in the body, daily routine and other adverse changes, which, accumulating, become a threat to the health of EC users. It is these factors and their relationship with the level of electronic information load of a teenager that have been the focus of research. A population study of the daily routine, duration and duration categories of individual components of the daily routine and different types of computer activity of 5th grade students in ten regions of the country was conducted. The students were divided into two groups depending on how widely the schools in which they study use computer technology (CT): actively using CT (ACT), and less actively (inactive) using CT (NCT). The following factors were taken into account: equipment of classes and provision of school students with computers and individual EUs, availability of Internet access; characteristics of the effectiveness of the use of information and computer technologies (ICT). Significant differences between the groups under consideration were manifested in all types of computer activity. With a higher confidence, this manifested itself over the weekend. The duration of certain types of computer activities (homework, participation in webinars, games, networking, watching movies, videos, etc.) and the total time of all computer classes per day per 5th grade student were significantly longer in the ACT group. Students from NCT schools spend more time walking on weekends and watching TV, and on school days they have less static (sedentary) load. Studies have shown that the active use of CT in school turns into their active use in an extracurricular setting, and in terms of the duration and frequency of use of EC, a group of ACT school students surpasses a group of children from NCT schools. The differences between the groups (ACT and CNT) manifested themselves in different forms of computer communication, both educational and entertaining.

Investigation of the Relationship Between Nomophobia and Social Studies Teachers' Social Network Use

The smartphones we use in every aspect of our lives can be accessed anywhere without the limitation of physical space. This situation has led to excessive use of smartphones. Individuals, when unable to access their smartphones, experience anxiety and distress, revealing their nomophobic tendencies. Additionally, the availability of internet access on smartphones has increased the use of social networks. In this context, the research aims to determine the relationship between social studies teachers' purposes for using social networks and nomophobia. In the study, a quantitative research model called the correlational survey model was employed to determine the relationship between social studies teachers' purposes for using social networks and their levels of nomophobia. The sample of the research consists of 330 social studies teachers working in state schools affiliated with the Ministry of National Education in Turkey. The data of the research were collected using the "Personal Information Form," "Nomophobia Scale," and "Social Media Usage Purpose Scale." According to the research findings, there was no significant relationship between the gender of social studies teachers and their use of social networks or nomophobic perceptions. However, a statistically significant relationship was found between the use of social networks and nomophobic perceptions of social studies teachers based on factors such as unlimited internet use, education level, seniority, age, and internet usage duration. A weak significant relationship was determined between social studies teachers' usage of social networks and their nomophobic perceptions.

The Village SDGs? Can Partnership Aspect Enhance the Economic Development in Pangandaran Village?

This study describes the implementation of SDG programs through partnerships to improve economic development in Pangandaran villages. This research adopts qualitative research method and case study design. A qualitative approach was used because this study aims to analyze how the SDG program builds the economy in Pangandaran village through partnerships. Furthermore, the case study approach was chosen because this study focuses on partnership policies in the SDGs. The data obtained in this study are in the form of primary and secondary data. Primary data were obtained using purposive sampling techniques. To obtain primary data, semi-structured and unstructured interviews were conducted. Secondary data comes from other sources through literature research. The stages of data analysis are data consideration, data display, and drawing and verifying conclusions.  The analysis revealed that one of the SDG programs, the partnership aspect, has been implemented in Pangandaran village to promote economic development. However, there are still some obstacles in the implementation process. This is reflected in several aspects such as cooperation with third parties, availability of Internet access in villages, village statistics and goods export activities.

Digital Literacy Analysis of Primary School Students

Digital Literacy plays an important role from contributing to education to giving birth to a generation that is ready and can contribute to the times. The study aims is to describe the situation and condition of students’ digital literacy in the city of Palembang. This is a qualitative type of research with a survey technique. Data were collected through field observations, student questionnaires and interviews, using the Miles and Huberman model data analysis techniques including: (1) data display, (2) reduction, (3) conclusion drawing, and (4) data verification. Based on the results of the study, it showed that students’ digital literacy from the critical thinking aspect (the ability to analyze and think critically in using digital technology) reached 83%, in the E-safety aspect (able to maintain security when using digital technology) reached 58%, in the digital cultural component (have the ability to communicate and contribute through digital technology media) reaching 58%, in the collaboration and creativity component (the ability to collaborate and be imaginative in using digital technology media) reaching 55%, in the find information component (the ability to select good or bad information), good reached 73.3%, in the communication component (the ability to communicate and also socialize through digital technology media) reached 63.3%, and in the functional and skill component (students are able to operate digital technology media according to their needs and functions) reached 76 %. Based on observations, it shows that the cultivation of digital literacy has been carried out in learning with the support of adequate facilities and infrastructure such as the availability of internet access, computers, projectors, and several digital teaching aids and other facilities and infrastructure.
 Keywords: Digital Literacy, Primary School, Qualitative Research

From Silicon to Himalayan Valley(s): Tales of Serendipitous Exposure and Interfaith Contact on Social Media

This study compares two adjacent remote valleys in the Himalayas of Pakistan, which only differ in terms of the availability of internet access. Using a unique methodological approach, combining a natural experiment design and an interview method, we explore the role of serendipitous exposure and interfaith contact on social media in relation to the religious majority’s knowledge about religious minorities and willingness to engage with them. We find that those who have internet access and use social media show more knowledge about and engagement with religious minorities than those who do not. Serendipitous exposure largely explains the differences—social media users do not intentionally seek information about religious minorities but still serendipitously come across it while using social media for other activities. Moreover, social media users tend to have extensive networks of social ties (i.e., Facebook friends), which frequently cut across religious lines and likely act as the main facilitators of serendipity. We argue that mediated serendipity and increased interfaith contact promoted by social media platforms are essential contributors to democratic citizenship in present-day Pakistan, where religious minorities represent a small segment of the population and often face discrimination and persecution.

The Performance Evolution of Antivirus Security Systems in Ultradense Cloud Server Using Intelligent Deep Learning

When creating an antivirus, not only the latest security mechanisms are taken into account, but also the needs of users. That’s why this antivirus works together at high speed. The program interface allows it to choose the most optimal function. Free delivery allows a large number of users to rate this product. With the help of an intelligent deep learning model, a smart solution was proposed in this article to identify the security threats. It enables rapid detection and efficient treatment of polymorphic and encrypted viruses. Infected archives can now be detected when opened. This helps prevent its software from getting infected again. The program has the ability to create a confidence zone, which allows reducing the scanning time by creating a list of objects subject to scanning. This list should only contain sources that you are sure of. This application is designed to provide reliable protection for your computer. The proposed model allows it to protect its computer from all types of viruses and various Trojans, root kits, worms, and other malicious objects.

Tantangan Pembelajaran Hybrid di Perguruan Tinggi

The transmission of Covid 19 urges all countries in the world to carry out universal transformations in various fields including education. This study aims to describe the design and challenges in hybrid learning. This research is a literature study research that is analyzing various relevant literatures with the research focus. The results of the study illustrate that hybrid learning is carried out by utilizing various applications such as LMS and google classroom coupled with limited face-to-face learning. Some of the challenges in implementing hybrid learning include being faced by lecturers and students, for lecturers to add to their work such as digitizing learning materials and disseminating them through various social media features that are accessible to students, and developing learning tools. Another challenge is the difficulty in motivating students. The challenges for students include low learning motivation, low internet access availability, and not being able to work in groups because of the rules for crowding and wearing masks and maintaining health protocols.

Statistical Dataset and Data Acquisition System for Monitoring the Voltage and Frequency of the Electrical Network in an Environment Based on Python and Grafana

This article presents a unique dataset, from a public building, of voltage data, acquired using a hybrid measurement solution that combines PythonTM for acquisition and GrafanaTM for results representation. This study aims to benefit communities, by demonstrating how to achieve more efficient energy management. The study outlines how to obtain a more realistic vision of the quality of the supply, that is oriented to the monitoring of the state of the network; this should allow for better understanding, which should in turn enable the optimization of the operation and maintenance of power systems. Our work focused on frequency and higher order statistical estimators which, combined with exploratory data analysis techniques, improved the characterization of the shape of the stress signal. These techniques and data, together with the acquisition and monitoring system, present a unique combination of low-cost measurement solutions, which have the underlying benefit of contributing to industrial benchmarking. Our study proposes an effective and versatile system, which can do acquisition, statistical analysis, database management and results representation in less than a second. The system offers a wide variety of graphs to present the results of the analysis, so that the user can observe them and identify, with relative ease, any anomalies in the supply which could damage the sensitive equipment of the correspondent installation. It is a system, therefore, that not only provides information about the power quality, but also significantly contributes to the safety and maintenance of the installation. This system can be practically realized, subject to the availability of internet access.

تجربة التعليم الإلكتروني لقسم دراسات المعلومات بجامعة السلطان قابوس في ظل جائحة كورونا

ملخص أدى انتشار وباء كورونا المستجد في جميع أنحاء العالم إلى تغييرات في الممارسات الاجتماعية وكيفية عمل المؤسسات. ولم يكن قطاع التعليم في منأى من هذه التغييرات، حيث فرض الوباء إجراءات غير مسبوقة أدت إلى توقف العمل في العديد من المؤسسات الحكومية وتطبيق التباعد الاجتماعي. ومن الجدير بالذكر أن العملية التربوية تقوم على التفاعل بين الأفراد، الذي يتعارض مع مبادئ التباعد الاجتماعي، ويهدد العملية التعليمية ويعرضها للانهيار. ونتيجة لذلك، سعت المؤسسات التعليمية إلى إيجاد بدائل للتعليم التقليدي، والتي تجسدت بتبني نمط التعلم الإلكتروني من خلال المنصات الإلكترونية المختلفة التي تدعم العملية التعليمية إلكترونيًا. هدفت الدراسة الحالية إلى تقييم تجربة قسم دراسات المعلومات في جامعة السلطان قابوس في التعلم الإلكتروني في ظل جائحة كورونا. اعتمدت الدراسة المنهج الكمي من خلال توزيع استبانة على طلبة القسم للتعرف على تصورهم لتجربة التعلم الإلكتروني. وقد كشفت نتائج الدراسة: أن نظام التعليم في قسم دراسات المعلومات بجامعة السلطان قابوس اعتمد بشكل أساسي على استخدام مجموعة من المنصات الإلكترونية. واتفق الطلبة على أن بعض المقررات الدراسية كالتدريب الميداني ومقررات الفهرسة والتصنيف، لا تصلح للتعليم الإلكتروني. ومن بين التحديات الرئيسية التي كشفت عنها الدراسة عدم كفاية أو توافر شبكة الإنترنت بشكل مستمر، وأن عدد من المقررات تحتاج إلى تفاعل تقليدي وغير مناسبة للتعليم عن بعد. وبناءً على النتائج، أوصت الدراسة بضرورة زيادة الوعي التكنولوجي لدى الطلبة وتدريبهم على الاستخدام الأمثل لأدوات وبرامج التعليم عن بعد. The spread of COVID-19 worldwide has led to major changes in social practices and how institutions operate. The education sector has not been far from these changes, as the pandemic has imposed unprecedented measures that have led to the suspension of work in many institutions and the application of social distancing. The educational process is based on interaction between individuals and contradicts social distancing principles which threatened the entire educational process. As a result, educational institutions began to seek alternatives to traditional education by adopting e-learning through the various electronic platforms that support the educational process electronically. This study aimed to evaluate the Information Studies Department’s experience at Sultan Qaboos University in e-learning. The study adopted a quantitative approach by distributing a questionnaire to the department’s students to identify their perception of the e-learning experience. The findings revealed that the education system in the Information Studies Department at Sultan Qaboos University relied mainly on the use of a combination of electronic platforms. The students agreed that some practical courses are not suitable for e-learning: such as field training, indexing and classification courses. Among the main challenges revealed by the study was the lack of constant availability of Internet access and many courses needed traditional interaction and were not suitable for distance education. Based on the results, the study recommended increasing the technological awareness of both students and educators and training them in the optimal use of distance education tools and software

Differences in Cyberchondria, Internet Addiction, Anxiety Sensitivity, Health Anxiety, and Coronavirus Anxiety Among Students: A Web-Based Comparative Survey

Background: Students’ health-related anxiety may exacerbate cyberchondria and internet addiction (IA), especially during pandemics such as the Coronavirus disease 2019 (COVID-19). However, the associations of students’ demographic and academic characteristics with cyberchondria, anxiety, and IA have not yet been examined. Aim: The present study aimed to compare university-level students’ scores in cyberchondria, IA, and anxiety (i.e. anxiety sensitivity, health anxiety, and coronavirus anxiety) based on students’ characteristics of number of years online, grade point average (GPA), the field of study, year of study, gender, and the availability of Internet access at school. Methods: Data were collected using valid questionnaires from 143 university-level students via a web-based survey. Results: Cyberchondria levels were moderate, IA mild, anxiety sensitivity low, health anxiety typical, and coronavirus anxiety functional. No significant differences in the total scores of the compared variables were noted between the compared groups. However, some individual items differed, as follows: 1) Cyberchondria differed according to the student’s GPA and the availability of the Internet access at school and 2) IA differed according to all characteristics; and 3) anxiety sensitivity and health anxiety differed according to students’ GPA. Conclusions: The students did not demonstrate high levels of cyberchondria, IA, anxiety sensitivity, or anxiety caused by searching for online health information. Conceptual differences in the concepts can be used in designing interventions to help students prevent and manage such challenges and address avoidance behaviors.

Spam Mail Detection Using Optimization Techniques

On account of the widespread availability of internet access, email correspondence is one among the most well-known cost-effective and convenient method for users in the office and in business. Many people abuse this convenient mode of communication by spamming others with conciseness bulk emails. They use emails to collect personal information of the users to benefit financially. A literature review is conducted to investigate the most effective strategies for achieving successful outcomes while working with various spam mail datasets. K-Nearest Neighbor, Support Vector Machine, Naive Bayes, Decision Tree, Random Forest, and Logistic Regression are all employed in the implementation of machine learning techniques. To make classifiers more efficient, bio-inspired algorithms such as BAT and PSO are used. The accuracy of every classification algorithm along with and without optimization is observed. Factors such as accuracy, f1-score, precision, and recall are used to compare the results. This work is implemented in Python along with GUI interface Tkinter.

Antara Ada dan Tiada: Studi Terhadap Tingkat Kehadiran dan Keaktifan Mahasiswa dalam Pembelajaran Online di Era Covid-19

The study aims to analyze the level of students’ attendance and interaction as well the availability of internet access during online learning in the era of Covid-19 pandemic. The case study is conducted at the English Language Education Study Program, Faculty of Education and Teacher Training State Islamic University of Mataram. This research is a part of quantitative research design with surveys. The researcher developed a set of questionnaire in Google Form and shared it to the students via WhatsApp group. 215 students participated in this study. It was found that most of the students attended the class throughout the meetings, but it could not be concluded that they participated during the class from the beginning till the end of the meeting. The causes were by the lack of internet access, instability of signal as well as the availability of the devices. The phenomenon showed that students exist in the class but do not exist. A successful learning occurs when interaction and communication run smoothly among students and teachers.

TINGKAT STRESS MAHASISWA SELAMA PEMBELAJARAN DARING DI MASA PANDEMI COVID-19

As an effort to prevent and spread Covid-19, the government has implemented online learning activities from home. Online learning causes problems for students due to the availability of internet access, internet quota, the number of assignments given, and a lack of understanding of the material provided. These problems can trigger students to experience stress. The purpose of this study was to determine the stress level of students during online learning during the Covid-19 pandemic. The research method is descriptive. The sample in this study was 171 nursing students using a proportionate stratified random sampling technique. The sampling technique used is proportionate stratified random sampling. The results showed that 52 (30.4%) students experienced mild stress, 115 (67.3%) moderate stress, and 4 (2.3%) severe stress. In this study, it can be concluded that the stress level of students during online learning during the Covid-19 pandemic is moderate level. This research is expected to provide information and descriptions to educational institutions as a follow-up to prevent stress on students.