Access Speed Research Articles

PENGARUH KUALITAS, KEMUDAHAN PENGGUNAAN, KECEPATAN AKSES DAN KEAMANAN SIA TERHADAP KINERJA KARYAWAN PT. BOOKING INDONESIA

The phenomenon that occurs at booking.com Indonesia is where workers still do not show maximum performance such as late reporting. The purpose of this study was to determine the effect of quality, ease of use, speed of access and security of accounting information systems on the performance of employees of PT. Indonesian Bookings. This research method uses quantitative data analysis techniques. The population of this study were all employees of PT. Booking Indonesia in Bali as many as 50 employees. The method of determining the sample using a saturated sample. The number of research samples is 40 employees of PT. Booking Indonesia Bali. Data analysis using multiple linear regression analysis technique. The results showed that there was a positive influence on the quality of AIS on employee performance at PT. Booking.com Indonesia, there is a positive influence on the ease of use of SIA on employee performance at PT. Booking.com Indonesia, there is a positive effect of SIA access speed on employee performance at PT. Booking.com Indonesia and there is a positive effect of SIA security on employee performance at PT. Booking.com Indonesia

Prototype Sistem Tracking Pada Aplikasi Ambulance Dan Satlantas Berbasis Protokol MQTT

Traffic accidents often result in victims who need help quickly. Communities who know about incidents are often confused about how to take victims to health facilities quickly because there are no vehicles available to transport victims, besides that at the location of the incident there is usually a crowd of residents which causes traffic to be obstructed. This research will build a prototype accident report application that can be used by the public in reporting a traffic accident incident, POLICE and Ambulance Drivers will get information about the location of the incident that occurred to provide fast handling, and the built prototype will be measured access speed using various types of networks (GPRS, 3G, 4G), this is to see if the application can be used in various internet network conditions. The results of this study are an application that can be used to improve services for health facilities and the police, the results of the access speed test show that the built prototype can run well even though it uses a GPRS network with a speed of 1,37 seconds.

FEATURES OF CREATING MANAGEMENT ACCOUNTING OF THE ENTERPRISE BASED ON CLOUD TECHNOLOGIES

This article is devoted to the application of cloud technologies in the management accounting automation system at enterprises. The author considered the terminology of "cloud" and "cloud technologies" and adapted the definition of "cloud management accounting technology" as a technology that allows remote processing and storage of data for thepurpose of making management decisions and managing an economic object. The main advantages of using cloud technologies in management accounting were systematize. The advantages such as a business scaling and its information security, communication speed and data access, backup, update and administration of cloud technologies and databases. In this article, the author singles out specific tasks of management accounting that affect the development and use of information technologies in its automation. The tasks such as: timely provision of information to officials in order to make management decisions for each group of information users; provision of real, timely and comprehensive information about the object of management; provision of a wide range of modern tools for analysis and management decision-making. The issue of processing accounting information in the clouds and setting up communication between the internal and external environment is covered. The author also defined the procedure for processing accounting information based on cloud technologies, which consists of four gradual stages.The author has defined the features of building management accounting of the enterprise based on cloud technologies. The features among which are: taking into account the range of users for whom the management cloud of the enterprise will be available; determination of a specific list of management tasks that can be automated on the basis of cloud technologies; selection, in accordance with the first two features, of a specific list of cloud tools

The Evolution And Impact Of E-Commerce

This research paper delves into the evolution, current trends, and impact of e-commerce on various aspects of business and society. It examines the technological advancements that have facilitated the growth of e-commerce, the challenges faced by e-commerce businesses, and the transformative effects on consumer behavior, the economy, and regulatory frameworks. India is on the verge of a revolution in e-commerce. E-commerce, or electronic commerce, refers to the buying and selling of goods and services over the Internet. It has evolved significantly since its inception and has had a profound impact on various aspects of business, society, and the economy. Here's an overview of its evolution and impact. India's e-commerce market is expanding thanks to factors including rising smartphone adoption, rising wealth, and affordable data plans, which are fuelling the expansion of online retail. India is the second-largest internet market in the world with over 800 million users and 62 billion UPI transactions in 2022.
 Even though e-commerce has been popular in the nation for more than a decade, it is only in recent years that the proper ecosystem has already begun to develop. The speed of internet access, the astonishing widespread use of mobile devices, and active investment have fuelled this industry's expansion, and if present if predictions are accurate, India is on track to become the fastest-growing e-commerce in the world. India has seen a growth in the use of smartphones and the internet in recent years. Due in large part to the "Digital India" effort, there were 830 million internet connections worldwide in 2021. 55% of all connections to the internet were in metropolitan areas, and 97% of those connections were wireless. The number of smartphones has also greatly grown, and by 2026, that number is anticipated to be 1 billion. India's digital economy has benefited from this, and by 2030, it is predicted to be worth US$1 trillion.

Rapid, accurate publication and dissemination of clinical trial results: benefits and challenges.

Large-scale clinical trials are essential in cardiology and require rapid, accurate publication, and dissemination. Whereas conference presentations, press releases, and social media disseminate information quickly and often receive considerable coverage by mainstream and healthcare media, they lack detail, may emphasize selected data, and can be open to misinterpretation. Preprint servers speed access to research manuscripts while awaiting acceptance for publication by a journal, but these articles are not formally peer-reviewed and sometimes overstate the findings. Publication of trial results in a major journal is very demanding but the use of existing checklists can help accelerate the process. In case of rejection, procedures such as easing formatting requirements and possibly carrying over peer-review to other journals could speed resubmission. Secondary publications can help maximize benefits from clinical trials; publications of secondary endpoints and subgroup analyses further define treatment effects and the patient populations most likely to benefit. These rely on data access, and although data sharing is becoming more common, many challenges remain. Beyond publication in medical journals, there is a need for wider knowledge dissemination to maximize impact on clinical practice. This might be facilitated through plain language summary publications. Social media, websites, mainstream news outlets, and other publications, although not peer-reviewed, are important sources of medical information for both the public and for clinicians. This underscores the importance of ensuring that the information is understandable, accessible, balanced, and trustworthy. This report is based on discussions held on December 2021, at the 18th Global Cardiovascular Clinical Trialists meeting, involving a panel of editors of some of the top medical journals, as well as members of the lay press, industry, and clinical trialists.

Web Caching Hybrid Algorithm by Semantic Similarity

Recently, most companies have been conducting their business through the cloud network, so increasing the speed of data access via the Internet has become very important. Therefore, the importance of cache algorithms lies in increasing the speed of data access. As we know, there are cache substitution algorithms that work well with the cache when applied to the processor cache, but they hardly work when applied to caching for web purposes. The reason for this discrepancy is that it is not intended to increase the complexity of this type of storage. Considering the challenges of cache usage in terms of the large discrepancy in file size and the heterogeneous model of user access to data in a web environment, especially with pages with dynamic content, there is a real need to develop 'web cache' algorithms. In this paper, a hybrid algorithm for web caching using semantic similarity is developed. The GDFS algorithm was developed using NGD (Normalized Google Distance) to determine the semantic similarity between cache objects, which resulted in better performance in comparison to other algorithms. The results showed that the web cache hybrid algorithm using semantic similarity increased the hit rate compared to the basic algorithms by up to 80.10%. The proposed hybrid algorithm was able to overcome the problem of the low byte hit rate in the GDFS algorithm. The improvement in the byte hit rate reached 65%. This indicates an increase in the byte hit rate. The results showed that the web cache hybrid algorithm using semantic similarity reduced the page load time using distance measured from Google compared to the page load time using other algorithms that do not use semantic similarity and do not use cache. The results showed that the web cache hybrid algorithm using semantic similarity reduced the page load time from 4.17 seconds using GDFS-Line to 2.16 seconds using GDFS-NGD.

Instructors' self-efficacy, perceived benefits, and challenges in transitioning to online learning.

Drawing on social cognitive theory, this study investigated instructors' online teaching self-efficacy during the sudden, COVID-19-induced transition to online teaching. The pandemic has forced instructors to shift to online teaching, arming them with valuable hands-on experience in this alternative teaching mode. This study examined instructors' online teaching self-efficacy, perceived benefits, intention to implement online teaching strategies in their future teaching, and the challenges encountered during this transition. A total of 344 instructors completed the developed and validated questionnaire. The data were analyzed using multiple linear regression modeling, using the stepwise estimation technique. The findings demonstrate that affiliated universities, the quality of online learning, and previous use of learning management systems (LMS) are significant predictors of instructors' online teaching self-efficacy. Online teaching self-efficacy, along with gender, quality of online learning, and professional training are significant predictors of the perceived benefits of online learning during emergencies. Meanwhile, the quality of online learning and professional training are significant predictors of instructors' intention to implement online teaching strategies and learning technology tools. Instructors ranked remote assessment as the most challenging factor in online teaching during emergencies, and internet access or internet speed as the first and most complicated hindrance for students in this transition. This study helps in understanding instructors' online teaching self-efficacy during the sudden transition and the positive consequences of shifting to the online mode due to the COVID-19 pandemic on the higher education field. Recommendations and implications are discussed.

Evaluation of Follow-Up Monitoring Information System Using Hot Fit Model

This study evaluates the effectiveness of the Follow-Up Monitoring Information System (SIPTL) of the Supreme Audit Agency of the Republic of Indonesia (BPK RI) based on the HOT Fit Model. Evaluation is focused on external SIPTL or from the auditee side. This research is qualitative research with a case study approach, and the object of the research is the Inspectorate of Majene Regency, West Sulawesi. Evaluation is carried out on human aspects (system use and user satisfaction), organization (organizational structure), and technology (system, information, and service quality). In the human aspect of human resources (HR) management, it shows the suitability of the field of experience, knowledge, and competence. In the organizational aspect, controlling access rights is very good in the form of passwords for each admin and SIPTL inputer. In terms of technology, the speed of access between pages and the addition of features in the SIPTL application is very high. Thus, in general, the external SIPTL application at the Majene Regency Inspectorate has been effective based on the HOT Fit Model. The disadvantages of SIPTL at this time are the absence of regular training for users, communication with users that has not been running optimally, the absence of regular password changes, and the absence of regular application updates. Further research is recommended to evaluate the internal SIPTL, namely from the perspective of BPK RI as a user and the addition of research objects as a comparative analysis.

Utilization of 5G Technologies in IoT Applications: Current Limitations by Interference and Network Optimization Difficulties-A Review.

5G (fifth-generation technology) technologies are becoming more mainstream thanks to great efforts from telecommunication companies, research facilities, and governments. This technology is often associated with the Internet of Things to improve the quality of life for citizens by automating and gathering data recollection processes. This paper presents the 5G and IoT technologies, explaining common architectures, typical IoT implementations, and recurring problems. This work also presents a detailed and explained overview of interference in general wireless applications, interference unique to 5G and IoT, and possible optimization techniques to overcome these challenges. This manuscript highlights the importance of addressing interference and optimizing network performance in 5G networks to ensure reliable and efficient connectivity for IoT devices, which is essential for adequately functioning business processes. This insight can be helpful for businesses that rely on these technologies to improve their productivity, reduce downtime, and enhance customer satisfaction. We also highlight the potential of the convergence of networks and services in increasing the availability and speed of access to the internet, enabling a range of new and innovative applications and services.

Examining the breaching of personal data in cyberspace from the perspective of psychological violence

The digital world has taken an active role in people’s lives day by day. In this context, information that directly or indirectly identifies the person has also found its place in the digital world. The right to privacy and the protection of personal data, which is also defined as a personal right, can be violated consciously or unconsciously in the digital world due to anonymity, speed and easy accessibility. When it comes to the illegal capture, sharing and use of personal information by others without their consent, people are sometimes unaware that these actions are against the law. However, data breach acts can cause emotional trauma on the person. Emotional effects can sometimes be much more severe and irreversible than physical effects. For this reason, I carried out my study on the importance of data security and that the violation of personal data can also cause psychological violence. The research was carried out online by creating a questionnaire as a data collection tool with the quantitative research method. As a study group, it was aimed to reach people over the age of 18 in Turkey. In order to address the problematic of the research, an online questionnaire was created via Google Forms and this questionnaire was distributed on the online network and 50 people, 22 female and 28 male, were reached from Turkey by random sampling method.In the survey, 17 multiple choice questions and 2 open ended questions were asked. The questions are prepared within the scope of the determination of whether the personal data of the individuals have been violated and the psychological effects on individuals whose personal data are violated.As a result; It is considered that the violation of personal data is directly proportional to the negative psychological effects on individuals.

Vina-FPGA: A Hardware-Accelerated Molecular Docking Tool With Fixed-Point Quantization and Low-Level Parallelism

Molecular docking (MD) is one of the core steps in the expensive and time-consuming process of drug design, which is basically an optimization problem based on scoring functions. AutoDock series MD software is widely accepted by academia and industry, among which AutoDock Vina (Vina) is the latest and most popular version due to its accuracy and relatively high speed. However, contrast to its prior version, i.e., AutoDock4, hardware acceleration approaches of Vina are rarely reported. In this article, we propose Vina-field-programmable gate array (FPGA), a hardware-accelerated Vina implementation with FPGA that exploits the low-level parallelism. First, the fixed-point quantization is analyzed and realized to accelerate the MD algorithm with a better energy efficiency in hardware. To boost the performance of the module-level computation, multiple in- module hardware pipelines have been designed and implemented. Besides, a strategy for fast accessing to block RAM (BRAM) is implemented by utilizing the layout of data, which brings four times memory access speed to the intermolecular and intramolecular energy computing modules. Under the same 140 ligand–receptor benchmarks, Vina-FPGA performs up to <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$6.9\times $ </tex-math></inline-formula> (average <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$3.7\times$ </tex-math></inline-formula> ) faster than a state-of-the-art CPU does while consuming only 2.5% energy with similar docking accuracies. Compared to the GPU-accelerated implementation or Vina-GPU, the average energy consumption of Vina-FPGA is merely 45%.

Design and Implementation of a Secure Virtual Private Network Over an Open Network (Internet)

Aim: The main objective of this research project is to design and implement a functional secure virtual private network over the internet considering that use of traditional fixed telephones lines is not cost effective and it is unsecured especially in the context of Cameroon.&#x0D; Methods: In the VPN, internet is used as the data pipelined replacing the traditional data lines. This approach was deployed through simulation with CISCO Packet Tracer.&#x0D; Results: Simulation results showed that the system can provide a secured, reliable and cost effective transmission system over the Internet for organizations in Cameroon. As such, VPNs form an integral part of remote business communications across the internet due to the inherent risks that exist when sending private information over a public network.&#x0D; Conclusion: VPNs not only prevent unethical use of private business correspondence by unauthorized parties but they also play an important role in reducing the environmental impact of business travel.&#x0D; Recommendations: This study recommend an organization which considers security as its top priority to embrace the rather expensive solution of implementing an email/Web/DNS/FTP server at each site rather than using only a single email/web/DNS/FTP server for the entire intranet. This will reduce the amount of information that organization sends across the Internet and increase information access speeds. Home users or small office can equally be installed with an email/web/DNS/FTP server. Also, in the remote access case, a company can outsource the installation and management of their remote access VPN server to the ISP. Moreover, just using IPSec for remote access users is not enough. Remote access IPSec VPN implementation should always be associated with a tunneling protocol such as PPTP.

Sistem Pendukung Keputusan Pemilihan Kartu Internet Smartphone Menggunakan Metode MOORA dan WASPAS

Currently the internet is the most widely used source of information among the public to find the information needed. The use of the internet can meet the needs of information sources that are fast, easy, precise, accurate and inexpensive. Through the internet can access a variety of information and knowledge according to relevant needs. The internet also has several advantages that are not shared by other conventional sources of information, access to information can be done with restrictions on distance, time and space which is part of the advantages of the internet. Making it possible to get the source of the information obtained. Thus, based on the results of a survey conducted by the previous author, involving 30 respondents who had used internet service packages before, the result was that 90% of respondents had difficulty making the right choice, according to the criteria they wanted. With a decision support system using the MOORA and WASPAS methods, it will be easier to find a solution to the problem of choosing an internet package based on the conditions offered by the various internet operators themselves. These criteria include speed, signal, internet quota, active period and price. Based on the calculations of these two methods, the best smartphone internet card title is alternative A1 with the name Telkomsel with a value for the MOORA method, which is 0.437, while the WASPAS method is 0.942 as the best alternative. So that people don't need to worry about choosing an internet card for smartphones that are good and have good access speeds

MEMBANDINGKAN KECEPATAN SINYAL WIFI ID DENGAN SINYAL WIFI WARUNG KOPI MENGGUNAKAN NET SPEED MONITOR

In this modern era, of course we are no strangers to advanced technology called the internet. To be able to connect data globally, an intermediary is needed which is commonly called an internet signal. Because a job is affected by how fast the internet signal is, this study aims to compare the signal strength at the maximum distance of the internet signal between wifi id and wifi coffee shop. Determination of QoS parameters is done by measuring internet access speed with Net Speed Monitor and measuring Upload and Download. Factors affecting the difference in signal speed are the type of device, the transmission medium and the resistance.

Origin of the temporal stability control of living system nonequilibrium

Following Ervin Bauer we accept that a living system can be characterized by its stable nonequilibrium. We represent such a system by a model hierarchy and relate system stability to computational delays across the hierarchy. For natural computation across the system assembly we advocate chaotic computation, and evaluate computational delay at the different organizational levels of the hierarchy. We compute inter-elemental access speed for the atomic and cell levels, and conclude that cell-related speed is 1000–10,000 times that of the atom level, confirming that on moving from the system-as-itself level towards the system-as-atoms level overall level access speed reduces. We conclude that Bauer's living system description as a stable nonequilibrium is justified.

Timely access to primary care in New Brunswick: Variability across health regions.

To examine the factors that influence variation in timely access to primary care across the different health regions in New Brunswick. Descriptive and comparative study of organizational practices in primary care practices based on speed of access. Data were collected from December 2019 to March 2020 using semistructured interviews conducted by telephone, in person, or online, according to participants' preferences. New Brunswick. Participants were primary care providers. Two types of regions were targeted: those with a higher proportion of citizens with timely access to primary care (regions with faster access) and those with less timely access (regions with slower access). A sample of 27 participants was used. Organizational practices (ie, new technologies, team-based health services, performance measurement, method of appointment booking, and physician remuneration model) according to prevalence of timely access. Participants in regions with faster access measured their performance more often (45.5% vs 12.5%, P=.046), did not use mixed compensation models (0.0% vs 31.3%, P<.001), and managed more patients (average of 2157 patients vs 950, P=.025), compared with participants from regions with slower access. This study found that performance measurements and other organizational practices are favourably linked to timely access to primary care.

Art Installation Design and Algorithm Research Oriented to Heterogeneous Computing Architecture and Particle Swarm Algorithm

Traditional high-performance computers generally use commercial general-purpose processors. When constructing large-scale parallel computing systems, they will face many challenges in system efficiency, power consumption, system maintenance, and cost. Heterogeneous architectures have begun to become the key to constructing supercomputer systems. In order to improve the optimization efficiency of the particle swarm algorithm, based on the simplified particle swarm algorithm, an improved strategy for fusion of population information is proposed. Only using the optimal position of the individual particle and the optimal position of the population to update the particle position makes the algorithm description simpler, construct a random term that depends on the population information to increase the diversity of the population, and design an adaptive control function equation to balance the algorithm's global detection and local detection. This article aims to study the design and algorithm of art installations for heterogeneous computing architecture and particle swarm algorithm. Aiming at the two heterogeneous system components of GPU and FPGA in heterogeneous computing systems to solve the dual heterogeneous problem between various computing components and applications, a task flow model for heterogeneous computing systems is proposed, which adopts heterogeneous systems. The structure focuses on the deterministic and nondeterministic calculation methods of particle swarm algorithm and carries out parallel research algorithms of particle transport data to analyze the design of art installations. The experimental results show that by making full use of the GPU hardware storage structure to improve memory access speed and reduce cache failure, the combination of particle swarm algorithm and heterogeneous computing system enables the calculation of the carrier components to obtain 3 times the acceleration effect; through the energy analysis model, Heterogeneous computing system components can obtain at least 1.5 times performance improvement.

A Strategy for Developing an Effective Cache Catalogue in the Communication Domain

This research paper presents a method and device for resolving the challenges faced in the prior art, specifically related to low access speed of the cache catalogue and low storage use efficiency. The proposed method involves the construction of a cache catalogue, comprising a public data catalogue and a private data catalogue. The public data catalogue records data block information of public data, while the private data catalogue records data block information of private data. Additionally, the method includes determining the data type of the target data associated with a read-write request transmitted by a first processor. This data type can be classified as private data or public data. The target data's data block information is then recorded in the cache catalogue. The method and device presented in this research are suitable for the communication field and aim to enhance the recording of data block information in a multi-processor system.

Firearm Owners' Preferences for Locking Devices: Results of a National Survey.

Firearm Owners' Preferences for Locking Devices: Results of a National Survey.

Impact of Cloud Services on Performance of Information Management of Small Enterprises. A Review of the Literature

Purpose: The aim of the study is to examine the impact of cloud technology on performance of information Management in Small Enterprises.&#x0D; Methodology: This study adopted a desktop literature review. It utilized content analysis of the reviewed literature related to cloud computing in in small enterprises.&#x0D; Findings: The study revealed that the adoption of cloud computing contributes to improved performance of SME’s. The small enterprises have been able to serve their customers better and have reduced operational costs and increased profits. Cloud computing also helps organizations and SME’S to offer decentralized services and give flexibility to staff as they can operate wherever they are as long as they have internet connection.&#x0D; Unique Contribution to Theory, Practice and Policy: The study recommended that issues associated with connectivity and speed of access should be addressed by government bodies concerned with internet service provision regulation. The service providers should ensure that the systems are user friendly easy to use to enable better adoption access across the rest of the SME’s so that the effect of cloud service can be realized.