Reviewerly/exHarmony huggingface dataset:
PENGARUH PENGGUNAAN CANVA TERHADAP BELAJAR MENULIS TEKS PROSEDUR

This study aims to identify the effect of Canva on learning to write student procedure texts at SMK Negeri 2 Trenggalek. This research design is in quantitative research and is conducted with quasi-experimental research. This research uses two types of variables. The first variable is Canva, which will affect the dependent variable. Which was goinh to get effect from dependent variable. The sample of this study is X grade students of SMK Negeri 2 Trenggalek. Researchers chose X RPL B as the control group and X AK B as the experimental group. Each class has thirty-six students, but the total number of students participating in this study is eighteen members in each class.&#x0D; The instruments used in this study were tests, there were pre tests and post tests. The researcher gave a pre test to both classes before conduchting the treatment. Then, the post test was given to both classes after the researcher applied the treatment in the experimental class. The test consists of questions that students must rewrite procedural text through Canva media. After the data is collected, the researcher will analyze the data using an independent sample T-Test. Before conducting an independent sample t-test, researchers must conduct a normality test: Based on the results of the data, the Sig. value in Saphiro-Wilk of experimental group 0.188 is greater than 0.05 and Sig. in Saphiro-Wilk of Control Group 0.036 is greater than 0.05. This means that the samples in this study are normally distributed. Based on the "Independent Sample Test", Sig. (2-tailed) of the posttest is 0.026 &lt;0.05. then as a basic rule for making an independent sample t-test it can be concluded that Ho is rejected and Ha is accepted. Thus, it can be concluded that there is a significant effect of students' procedure text writing learning in the experimental group and control group. Based on this result. Canva as the treatment of this research is an effective learning media for learning to write procedure texts for students.&#x0D; The results of this study indicate that the use of Canva in learning English at SMK is the right choice for teachers, and Canva application is very useful in the teaching and learning process. In addition, this media helps students in learning, because it can be accessed anytime, and anywhere. So, Canva is a media that can be used to increase the level of motivation and learning ability of students. It is one of the effective media in learning writing for students in high school.
The Effect of Information Technology on the Effectiveness of Accounting Information Systems at PT Seraphim Karya Agung

This study aims to analyze the influence of information technology on the effectiveness of accounting information systems at PT Seraphim Karya Agung. Phenomena used to test the effectiveness of accounting information systems include: data security, time, accuracy, variety of reports or output, and relevance. The inhibiting factors that exist in the implementation of accounting information systems are human resources, time and completeness of data. The solutions provided to increase the effectiveness of the accounting information system at PT Seraphim Karya Agung are: (1) improving HR soft skills, namely time discipline, by giving warnings and harsh reprimands to undisciplined employees, (2) increasing the ability of accounting information systems to overcome crash down condition of the system which can slow down the process of making financial reports, (3) related to data completeness, the accounting department of auxiliary expenditures that processes financial data that still uses a manual system to immediately transfer its use to accounting information systems by providing education and training.
ODFM: Abnormal Traffic Detection Based on Optimization of Data Feature and Mining

The booming of computer networks and software applications has led to an explosive growth in the potential damage caused by network attacks. Efficient detection of abnormal traffic in networks is appealing for facilely mastering the traffic tracking and locating for network usage at low resource cost. High quality abnormal traffic detection of Internet becomes particularly relevant during the automated services of multiple application situations. This paper proposes a novel abnormal traffic detection algorithm called ODFM based on the optimization of data feature and mining. Specially, we develop a feature selection strategy to reduce the feature analysis dimension, and set a peer-to-peer (P2P) traffic identification module to filter and mine the related service traffic to reduce the amount of data detection and facilitate the abnormal traffic detection. Experimental results demonstrate that the proposed algorithm greatly improves the detection accuracy, which verifies its effectiveness and competitiveness in the general tasks of abnormal network traffic detection.
Nature-Inspired Optimization for Virtual Machine Allocation in Cloud Computing: Current Methods and Future Directions

An expanding range of services is offered by cloud data centers. The execution of application tasks is facilitated by assigning (VMs) Virtual Machines to (PMs) Physical Machines. Speaking of VM allocation in the cloud service center, two key factors are taken into consideration: quality of service (QoS) and energy consumption. The cloud service center aims to optimize these aspects while allocating VMs. On the other hand, cloud users have their priorities and focus on their specific requirements, particularly throughput and reliability. User requirements are considered by the cloud service center, resulting in VM allocation that meets QoS targets and optimizes energy consumption. Cloud service centers must, therefore, find a balance between QoS and energy efficiency while considering the user's requirements. To achieve this, various optimization algorithms and techniques must be employed. The objective is to find the best allocation of VMs to PMs. Due to the NP-hardness of the VM allocation problem, nature-inspired meta-heuristic algorithms have become commonly used to solve it. However, there are no comprehensive and in-depth review papers on this specific area. This paper aims to bridge a knowledge gap by providing an understanding of the significance of metaheuristic methods to address the VM allocation issue effectively. It not only highlights the role played by these algorithms but also examines the existing methods, provides comprehensive comparisons of strategies based on key parameters, and concludes with valuable recommendations for future research.
A New Steganography Method for Hiding Text into RGB Image

Now-a-days, the network has significant roles in transferring data and knowledge quickly and accurately from sender to receiver. However, the data is still not secure enough to transfer quite confidentially. Data protection is considered as one of the principal challenges in information sharing over communication. So, steganography techniques were proposed which are the art of hiding information that prevents secret text message detection from intruders. Nevertheless, most steganography methods use low bits number of secret messages. Moreover, these methods applied a single logic gate for encrypting the secret message. Therefore, this paper proposes a new method for the encryption of secret messages based on the Huffman technique to reduce the secret message dimensions. In addition, the proposed method uses two different logic gates namely XOR and XNOR for increasing the message security. The RGB Lena image is used as the cover image of the secret message. There are six different experiments conducted with respect to various lengths of the secret messages in bits. The experimental results show that when using the highest number of bits (i.e., 66288), the proposed method achieved 0.0233 MSE, 64.4589 PSNR, 0.9999998 SSIM, and 8.2383 encryption time. The proposed method has the ability to encrypt the secret message with a high number of bits.
Exploring the Role of Smartphone Apps for Livestock Farmers Data Management Extension and Informed Decision Making in Nigeria

This research explores the role of smartphone apps in supporting livestock farmers in data management, extension services, and informed decision-making. The study investigates the potential benefits and challenges associated with the adoption and use of smartphone apps in the livestock farming sector. The findings reveal that smartphone apps provide a convenient and efficient way for farmers to record and analyse data, enabling real-time monitoring and data-driven decision-making. These apps also act as effective tools for extending agricultural information to farmers, providing access to resources and creating virtual communities for knowledge sharing. Moreover, smartphone apps empower farmers to make informed decisions by providing real-time information on weather, market prices, and disease alerts. However, challenges such as reliable internet connectivity, technical literacy, and the accuracy of app-based information need to be addressed for successful app adoption. Overall, smartphone apps have the potential to revolutionize livestock farming by enhancing data management, extending agricultural knowledge, and enabling informed decision-making, requiring collaboration among farmers, app developers, extension services, and policymakers. However, it is important to note that while smartphone apps can supplement traditional extension services, they should not be seen as a complete replacement, as access to reliable internet connectivity and technical literacy can pose limitations in some rural areas. It is therefore, essential to ensure that the data and information provided by these apps are accurate, reliable, and context-specific. Farmers should be cautious of potential biases and limitations in the algorithms used by these apps and should supplement the app-based information with their own knowledge and experience.
Secure Seaport Management System using Blockchain Technology

Worldwide, shipping documents are still primarily created and handled in the traditional paper manner. Processes taking place in shipping ports as a result are time-consuming and heavily dependent on paper. Shipping documents are particularly susceptible to paperwork fraud because they involve numerous parties with competing interests. With the aid of smart contracts, a distributed, shared, and append-only ledger provided by blockchain technology allows for the addition of new records. In order to increase maritime transport and port efficiency and promote economic development, this paper examines current maritime sector developments in Iraq and offers a paradigm to secure the management system based on a hyper-ledger fabric blockchain platform. The performance evaluation of the proposed system implies two scenarios: one organization and two organizations by examining throughput and latency. High transaction transmission rates on large block sizes produced positive results. Similarly, employing a small block size and higher send rates results in poor performance. Additionally, it was noted that throughput will decrease and latency will rise as the number of organizations increases. Block size and block timeouts should be high in applications with many concurrent transactions in order to maintain good throughput.
Systematic Literature Review: The Trend of English for Midwifery Teaching Material in The Digital Era

This study aims to conduct a literature review related to the trend of English for midwifery teaching material in the digital era. The research method used in this study is the SLR (Systematic Literature Review) method. Data collection is done by documenting articles that have similar research. The articles used were 12 national journals indexed by Google Scholar published period 2011-2023. Based on this research, it was found that midwifery English teaching materials are in the form of printed and digital teaching materials. 58% printed midwifery English teaching materials are in the form of booklets, modules, pocket books and textbooks. 42% Digital midwifery English teaching materials in the form of web, android, duolingo applications and google classroom application. Based on the SWOT analysis that has been carried out, there are weaknesses in the existing midwifery English teaching materials, namely that they are less supportive when used independently by students without being accompanied by a teacher and require other technology to access them. Therefore, improvements should be made in the development of midwifery English teaching materials so that they can help students understand the material optimally. This research is expected to provide additional knowledge for ESP English lecturers, especially in the field of midwifery, so as to increase the creativity and quality of lecturers in making midwifery English teaching materials. This research qualifies, elaborates and describes previous research regarding the trend of English for midwifery teaching material in the digital era, based on the searches that have been done no one has conducted this research.
USING LCMS MOODLE FOR ORGANIZING DISTANCE AND MIXED LEARNING

The paper considers theoretical and practical aspects of the application of the weboriented system of educational content management Moodle in the process of informative training of students of higher education institutions during distance and mixed learning. The features of the system have been allocated, namely: openness of the system and its free use; flexibility in setting up the system (adaptation of the system to the desired educational model); large user community (exchange of experience in developing various applications and extensions); a variety of educational materials (texts, images, video, audio, presentations, etc.); system functionality (convenience and safety during operation); convenient evaluation system, etc. The allocated features of the educational content management system Moodle, gave grounds for establishing the advantages of its use for the presentation of educational material during distance and mixed learning formats. The stages and features of creating a distance learning course on the discipline "Algorithms and Data Structures" are described. The stages are proposed, namely: ordering a distance course and further approval by the system administrator; filling the distance course with educational materials: notes or presentations of lectures, tasks for laboratory (practical) works; tests and test tasks for lecture material (theoretical material of laboratory works), etc. General approaches to the application of the Moodle educational content management system are presented, in particular, methods of presenting methodical and educational materials, methods for evaluating the results of educational activities of higher education students, etc. The components of the distance learning course on the discipline "Algorithms and Data Structures" are illustrated and methodological instructions on filling specific components of the distance course are provided. Clarifications were provided on filling the distance learning course with tests and test tasks. Also, attention was focused on the journal of assessment of academic achievements of higher education applicants and specified aspects regarding the assessment of all necessary components (tasks, practical work), etc. According to the results of the study, it can be stated that the use of the Moodle educational content management system during distance and mixed learning can fully ensure the assimilation of the theoretical and practical aspects of information disciplines.
Artificial intelligence literacy in libraries

The rapid expansion of artificial intelligence (AI) poses challenges as well as opportunities for anyone or anything dealing with digital technologies, including libraries. Libraries and librarians have a twofold challenge in that they simultaneously must consider AI applications in library operations as well as AI skills and knowledge as part of the information literacy (IL) training they provide for their users, whether it be in IL programmes or informal learning contexts. This study follows a learning circle in which 123 librarians in Sweden did a pre-existing online course about AI and met up at regular intervals to discuss its contents in a library perspective. The increased knowledge about AI and libraries and the confidence to pass on this knowledge to library users is measured through a self-efficacy test conducted on three separate occasions during the learning circle. The result from the test shows an increase in AI knowledge during the learning circle, although the small sample makes it difficult to draw definitive conclusions. A focus group from the learning circle was interviewed to get an in-depth understanding of librarians’ core topics of concern and excitement regarding AI and libraries. The results from the interview showed that there was a mainly positive view of AI in relation to making library collections more accessible and easier to manage, while there was more concern regarding AI’s impact on the media landscape and how this could impact library users. Introspectively, the focus group perceived challenges in including AI when teaching IL to users as well as in the lack of AI skills among colleagues that could make it difficult to apply or discuss AI in relation to the workplace and the library profession. This paper presents a method of increasing AI knowledge among librarians and library staff. It highlights topics relevant for several library types when faced with the development and application of AI in libraries and in society that based on the results of the study are difficult to escape. The insights may prove useful when planning educational endeavours and when considering library development and strategy related to AI and their implications for libraries and library users.
A Study of E-Authentication Systems Based on QR Codes Through Analysis

In order to improve security and user experience, this article suggests an authentication system that combines Quick Response (QR) code technology with One-Time Password (OTP) technology. Each time an authentication attempt is made, the system generates a unique QR code and an OTP that must be scanned with a mobile device in order to complete the authentication process. Encrypted data, validated by the server, including the user's identity and the OTP included in the QR code. An effective, user-friendly, and secure way of user identification is provided by the suggested system, which is essential in the modern digital world. An effective and safe way to authenticate consumers in online transactions is through an e-authentication system that makes use of OTP and QR code technologies. This method offers a straightforward two-factor authentication technique that effectively blocks illegal access by combining the advantages of OTP and QR code technology.
THE EFFECT OF SMALL GROUP DISCUSSION TOWARDS STUDENTS WRITING SKILL AT SMKN 1 BANGKINANG

The purpose of this study was to determine the significant effect of the use of the small group discussion learning model on the writing skills of the students of SMKN 1 Bangkinang Kota. This research method uses experimental quantitative research with a quasi-experimental research design. The sample in the study consisted of 2 classes, namely the experimental class and the control class, totaling 71 students. The data collection instrument used pretest and posttest tests. The data analysis technique used normality test, homogeneity test, and hypothesis testing (t test). The results showed that the writing skills of the students of SMKN 1 Bangkinang Kota using the conventional learning model was with an average value of 76.34. Writing skills using the small group discussion learning model is with an average value of 79.76. The results of the "t" test obtained tcount &gt; ttable, namely 2,914 &gt; 2,009 with a significant level of 0.05 or 5% which states Ha is accepted and H0 is rejected. This proves that the small group discussion learning model has a significant influence on the writing skills of the students of SMKN 1 Bangkinang Kota
ENGLISH TEACHERS’ ATTITUDES TOWARDS GOOGLE FORM AS AN ONLINE ASSESSMENT TOOL

The Covid-19 pandemic has resulted in a shift into online learning, including in English language learning. One of the popular online learning platforms in Indonesia is Ruangguru, where students can access English learning materials on its application anytime and anywhere. This study aims to find out Indonesian high-school students’ perceptions of Ruangguru as an English online learning tool. A questionnaire and guided interviews were used to collect the data from Indonesian high-schoolers who use Ruangguru. The data were analyzed using a mixed-methods approach using descriptive statistics and qualitative analysis. The results indicate that Ruangguru is positively perceived by online English learners, namely because its videos give clear instructions that can motivate the students into becoming autonomous learners. However, some learners still encounter problems regarding the constraints posed by online learning and digital gap. Regardless, most of them see Ruangguru as a helpful English learning tool during the online education era.
Development of Educational Augmented Reality Game as English Language Learning Media with Character Education Values

The primary objective of this research is to create an educational Augmented Reality game as a learning tool. This media can be accessed on Android smartphones and developed using the Unity application. The study adopts a research and development (R&amp;D) approach, following the ADDIE development model, which includes Analysis, Design, Development, Implementation, and Evaluation stages. The validation process involves assessments by subject matter experts, media experts, and language experts, resulting in a highly favorable rating with a validity percentage of 96.33 percent for the learning media. To conduct the testing, 15 fifth-grade Elementary School students are selected using purposive sampling. The students’ responses to the educational game, focusing on the English language topic “part of the human body” and incorporating Augmented Reality, were overwhelmingly positive, with a percentage of greater equal to 70 percent for each assessment indicator.
Virtual &amp; Augmented Reality for Medical Training and Rehabilitation

Virtual and augmented reality technologies offer opportunities to create training and rehabilitation tools in virtual or augmented environments, giving users a first-person experience. Designing such systems requires defining the most critical components to be simulated, and to what degree they can be successfully simulated, considering the context of their use and the effectiveness of interactions. There are several research questions to which we have provided answers, including: How can the user be represented in the virtual environment, and what is the added value of this representation for medical training purposes? How can interaction fidelity impact user performance in surgical simulation-based training? What is the impact of augmented reality feedback on the performance of a patient's gait rehabilitation process? In addition, I will present two rehabilitation assistance systems for improving patient usability and motivation: 1) for upper limb motor rehabilitation after stroke in virtual reality; 2) gait rehabilitation in augmented reality.