Reviewerly/exHarmony huggingface dataset:
Kesalahan Bahasa pada Buku Ajar Bahasa Arab Kelas IX MTs Semester Genap yang Disusun Oleh MGMP Kabupaten Kediri

In the world of education, there is a textbook, which is a book that is used to clarify and simplify the presentation of material so that students are more active in learning and independent towards the expected knowledge or skills. Textbooks must have good quality so that learning objectives can be achieved properly. In the Minister of Education and Culture of the Republic of Indonesia Number 8 of 2016 Article 3 Paragraph 5 states that the contents of a textbook in a textbook must fulfill several aspects, namely material aspects, linguistic aspects, presentation aspects, and graphical aspects. The focus of this research lies in the linguistic aspect. In reality, there are still textbooks that do not meet the aspects of using language that is good and right, especially in learning Arabic. This study aims to find out the language errors contained in arabic textbooks class IX Islamic Junior High School even semester compiled by Deliberations of Subject Teachers in Kediri district, and correction of the language errors. This study used the library method using content analysis techniques, in which researchers analyzed textbooks and studied various reference books to obtain a theoretical basis for the problem under study. The results of the research show that there are several language errors in the arabic textbooks. These errors are reviewed from three sides, namely from the side of syntax, morphology, and writing. Syntactic errors consist of eight forms of errors. As for morphological errors, there are six forms of errors. Then for writing errors there are four forms of errors.
D Craft System

The Web Development Internship is a comprehensive program designed to equip aspiring developers with the skills and practical experience required to build dynamic and user-centric websites. Throughout this internship, participants will delve into the exciting world of web development, gaining hands-on experience with modern technologies and frameworks while contributing to real-world projects. Understand the fundamentals of web development, including HTML, CSS, and JavaScript. Explore the role of front-end and back-end development in creating a complete web application.
The Effectiveness of Circumlocution Strategy towards the Students’ Speaking Skills at SMA-IT Al-Biruni Makassar

This research’s aim is to find out whether the circumlocution strategy effectively improves the students’ speaking skills at SMA-IT Al-Biruni Makassar. This research used a pre-experimental method which consisted the eleventh-grade students of SMA-IT Al-Biruni Makassar as the subjects. The research instruments for data collection used in this research are the pre-test and post-test to determine students' skills in terms of fluency before and after treatment. The result of this research showed that the t-test value was higher than t-table value. The mean score of the post-test is higher than the mean score of the pre-test. It means that the null hypothesis (H0) was rejected while the alternative hypothesis (H1) was accepted. In other words, there is significant difference between the result of the pre-test and post-test in teaching speaking skill in fluency by using circumlocution strategy. Based on the findings, the researcher concluded that the circumlocution strategy effectively improved students' speaking skills in terms of fluency in the eleventh grade at SMA-IT Al-Biruni Makassar.
إدراك وتطبيق إدارة المعرفة بجامعة سرت من وجهة نظر أعضاء هيئة التدريس بها

The research aimed to identify the level of awareness and application of knowledge management at the University of Sirte from the point of view of its faculty members. The research community consisted of all faculty members working at the university, which amounted to 656 faculty members. The research sample consisted of 242 faculty members, and to achieve the research objectives, it was Preparing a questionnaire that, in its final form, consisted of 30 statements divided into six dimensions.: awareness of knowledge management, knowledge generation, knowledge organization, knowledge application, knowledge circulation and sharing, and difficulties in applying knowledge management. The results of the research showed that the level of awareness and application of knowledge management at the University of Sirte from the point of view of its faculty members is moderate. The research also concluded that there are difficulties facing the application of knowledge management, most notably the weakness of the infrastructure and the availability of electronic devices necessary to apply knowledge management. In light of the results, it was presented The research is a set of proposals and recommendations that contribute to addressing the difficulties facing the application of knowledge management.
APLIKASI SISTEM LAYANAN PEMESANAN JASA DESAIN DAN APLIKASI BERBASIS ABDROID PADA PT. PUTRA WISANGGENI SATU MENGGUNAKAN METODE WATERFALL

&lt;p align="justify"&gt;&lt;span style="font-size: 11.0pt; line-height: 115%; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; mso-fareast-theme-font: minor-fareast; mso-bidi-font-family: Arial; mso-bidi-theme-font: minor-bidi; mso-ansi-language: EN-US; mso-fareast-language: EN-US; mso-bidi-language: AR-SA;" lang="EN-US"&gt;PT. Putra Wisanggeni Satu is a company that is active in the field of digital platforms, business and trade consultants in the company. Almost all service ordering activities use WhatsApp messenger. revisions are in demand and vulnerable to conversation data being lost or accidentally deleted. The aim of this research is to design and build an Android-based application for ordering design services and applications to improve service quality and make it easier to order services more efficiently. This research involves several steps, including problem analysis, data collection, application design and development and application testing. At the data collection stage, it was carried out using interview and observation methods and for the system development method using the waterfall method. At the application testing stage, the blackbox testing method shows that almost all features are implemented successfully and function properly as well as the results of usability testing, on the Effectiveness aspect of 94.2%, Efficiency aspect of 0.163 goals / Sec with an overall relative efficiency value of 83.3%. And for the satisfaction aspect of 78.5 . The results of this study indicate that the application can view service price lists, place service orders, service revisions and pay by bank transfer method.&lt;/span&gt;&lt;/p&gt;
The Digital Frontier: Exhibiting the Transformative Impact of Technology on Enhancing Event Attendees’ Experiences in Oman

Purpose: The main purpose of this study is to review the benefits of technology in transforming events based on attendees’ perspectives and to evaluate the influence of technology on event attendees’ experiences in Oman. Design/methodology/approach: The study used a quantitative research approach and a descriptive research design. Non-probability sampling was used in this study. The data was collected from 137 respondents through a questionnaire. The data were analyzed using frequency distribution, percentage, rank, weighted mean, and Pearson’s coefficient. Findings: Among the participants, the majority of the visitors attended more than five events per year and most of the people liked attending physical events. The highest mean score for the benefits of technology in transforming events based on attendees’ perspectives was ‘Using technology to post comments, read others comments, and enquiring about the events. The highest mean score for the influence of technology on event attendees’ experiences in Oman was ‘Technology helped to learn about the events, search for promo codes, discount coupons, and get tickets at discounted prices.’ Research limitations/implications: Technology and events interaction help in the creation of culturally relevant technology-driven events in Oman. Event planners and organizers can think of various ways to improve the attendees’ experience through various technologies. Social media integration, new mobile applications, and other interactive technologies provide customized experiences. The results of this provide opportunities for further analysis of the effects of artificial intelligence (AI), virtual reality (VR), and augmented reality (AR) on Omani event experiences. It will help attract more people to events and thus increase tourism in the country. Social Implications: Technology impacts people’s attendance at events in Oman with significant social ramifications that touch on some societal concerns. It provides insights into how technical advancements and cultural values and customs could be harmonized to create mutually beneficial relationships of both the past and the present. Events that increasingly rely on technology may require programs to improve people’s digital literacy to guarantee that people can take full advantage of and participate in tech-driven experiences. Originality / Value: It is critical to investigate the technological developments in the event industry and determine how event planners and organizers may use them to provide their guests with an experience. Despite its significance, to date, no research has been conducted on how technology affects the experiences of event participants in Oman. As a result, the current study is crucial, and its findings will be useful to many stakeholders, including the Ministry of Heritage and Tourism, tourism organizations, tour planners, planners, and organizers of events. Keywords: Event Attendees’ Experience, Event Technologies, Event Technology Influence, Event Technology Benefits, Event Characteristics.
GPU Database Systems Characterization and Optimization

GPUs offer massive parallelism and high-bandwidth memory access, making them an attractive option for accelerating data analytics in database systems. However, while modern GPUs possess more resources than ever before (e.g., higher DRAM bandwidth), efficient system implementations and judicious resource allocations for query processing are still necessary for optimal performance. Database systems can save GPU runtime costs through just-enough resource allocation or improve query throughput with concurrent query processing by leveraging new GPU resource-allocation capabilities, such as Multi-Instance GPU (MIG). In this paper, we do a cross-stack performance and resource-utilization analysis of four GPU database systems, including Crystal (the state-of-the-art GPU database, performance-wise) and TQP (the latest entry in the GPU database space). We evaluate the bottlenecks of each system through an in-depth microarchitectural study and identify resource underutilization by leveraging the classic roofline model. Based on the insights gained from our investigation, we propose optimizations for both system implementation and resource allocation, using which we are able to achieve 1.9x lower latency for single-query execution and up to 6.5x throughput improvement for concurrent query execution.
CORRELATION BETWEEN THE ACCURACY OF MEDICAL TERMINOLOGY AND DIAGNOSTIC CODES FOR RESPIRATORY CASES IN HOSPITAL INPATIENTS

Accuracy of writing terminology medical necessary to get accurate diagnosis code. Based on results studies introduction to document record medical patient take care Inpatient diagnosis of respiratory cases carried out at Mitra Pedan General Hospital was found to be 60% inaccurate medical terminology and 40% diagnostic code inaccuracies. This research aims to determine the relationship between accuracy in writing medical terminology and accuracy respiratory case diagnosis code for the patient take care stay. Deep method study This namely analytics with a retrospective approach. Amount population 530 documents with sample a total of 229 documents use proportionate stratified random sampling technique. Research instruments include observation guidelines, interview guidelines, checklists, and ICD – 10. Data management by editing, coding, classification, tabulation, cleaning, and data presentation. Analysis using univariate and bivariate. Accuracy writing diagnoses in respiratory cases was more than 140 documents (61%). big rather than inaccuracy as many as 89 documents (39%). For accuracy accurate respiratory case diagnosis code more than 195 documents (85%). big than inaccuracy as many as 34 documents (15%). Data is processed with the Chi-Square statistical test using SPSS, the p value is = 0.149 so p&gt; 0.05. In conclusion namely H0 accepted and Ha rejected, meaning that there is no connection between accuracy of writing medical terminology with accuracy of respiratory case diagnosis codes at Mitra Pedan General Hospital in 2022. This because in handle inaccuracy writing medical terminology, coding officers will confirm directly with doctor so that the resulting diagnosis code still accurate.
DIGITAL MARKETPLACE IN SMEs SUSTAINABILITY

The application of the K-Means algorithm in digital marketplaces is an effective data analysis strategy for grouping customers, products or reviews based on certain characteristics. In the context of digital marketplaces, K-Means is used to understand customer behavior, improve the shopping experience, and optimize business operations. This article describes the basic concept of implementing K-Means in a digital marketplace, including implementation steps and benefits that can be obtained. This method helps marketplaces in customer segmentation, product recommendations, sentiment analysis, and data-driven decision making. By using K-Means, digital marketplaces can optimize marketing strategies, product and service offerings, and increase overall customer satisfaction. In conclusion, the K-Means algorithm is an important tool in data analysis that supports the growth and success of digital marketplaces in the ever-developing digital era.
SPYWARE AS BARRIER TO E-MARKETING: AN EMPIRICAL STUDY

Present paper motive is to explore perceptions of customers towards Spyware issues in E-Marketing and their structural relationship to influence the perception. In present scenario E-Marketing is playing an essential part in Indian economy, especially where Prime Minister promotes cashless economy or online marketplace. Although E-marketing is one of the best modern and economical mediums for reaching out to new customers, although internet has created many advantages for the business but it has also brought many numerous risks. It would be wise to contemplate the various E-marketing ethical issues because innovative way of marketing has also lead to unethical practices as spyware problem. Spyware has been in controversy as it gets setup without knowledge and breaks the user’s privacy; even it has the potential to be misused. The study has revealed the customers have no control on their personal information as spyware leads to control the online user’s visits, collecting personal information and also misusing the same. Majority Customers are unaware regarding Spyware problems and they do not know how to handle with it. As the result the customers felt more Unsecure while transacting on the network because of their ignorance in this respect as SEM analysis has revealed that most of the variance in spyware is explained by two factors, Unsecure and Control. The results of the study are useful for the marketers as it would help them to frame comprehensive policy in relation to protect the personal information of customers so that they can feel safe and secure while buying online.
FAKTOR-FAKTOR YANG MEMPENGARUHI KURANGNYA MINAT BELAJAR MATEMATIKA SISWA KELAS VI SD NEGERI 10 KOTA BARU

The purpose of this studi was to determine the factors affecting the lack of interest in lerning mathematics for sixth grade students of SD Negeri 10 Kota Baru. The subjects in this study were students and teacher of mathematics six grade SD Negeri 10 Kota Baru.This study uses qualitative research methods, data collection techniques in this study using interviews and documentation, research instruments using interview sheets. Data analysis in this study is data collection, data reduction, data presentation and conclusion drawing. While the validity of the data used is triangulation data sources.The results of the study found that the factors that influence the lack of interest in learning mathematics for grade VI students of SD Negeri 10 Kota Baru are factors from within students (internal) and factors from outside (external). The internal factors include student attitudes, student motivation and intelligence, while external factors include the family environment, social environment, as well as teachers and how to educate. The attitude of students who are not good, and low motivation towards a learning and the level of student ability that is less can result in a lack of student interest in a learning. In addition, the way teachers teach is less effective, the family environment and social environment are not good also affect students' interest in learning mathematics.
The Future of SIEM in a Machine Learning-Driven Cybersecurity Landscape

As cyber threats become increasingly sophisticatedand complex, traditional Security Information and Event Management (SIEM) systems are struggling to keep up. The integration of artificial intelligence (AI) and machine learning (ML) into SIEM tools is transforming the way organizations detect, investigate, and respond to security incidents. This paper explores the future of SIEM tools in the context of the evolving cybersecurity landscape and discusses how organizations can prepare for the adoption of ML-enabled SIEM systems.ML-enabled SIEM systems significantly enhance the capabilities of traditional SIEM tools,enabling them to more effectively detect and respond to both known andemergingthreats.Organizations must develop a robust data strategy,invest in talent,and adopt ML-enabled SIEM solutions gradually to fully take advantage ofthepotentialof these technologies.Staying up-to-date with the latest trends in ML and cybersecurity isalsocrucial for organizations to maximize the benefits of ML-enabled SIEM tools.
ANALISISI PERBEDAAN HASIL BELAJAR SISWA PADA SAAT PEMBELAJARAN TATAP MUKA DAN DARING DI MASA PANDEMI COVID-19 PADA SISWA SDN 11 NANGA PINOH

This study aims to determine differences in student learning outcomes during face-to-face and online learning at SD Negeri 11 Nanga Pinoh. The subjects in this study were fourth grade students. This study uses a qualitative method with a case study approach. Data collection techniques in this study used observation and documentation. The procedure in the research includes the preparation stage, the implementation stage, the final stage of the research. The results of the research show that there are differences in results of students’ daily tests during face-to-face and online learning. This is because the learning prosess when online is not optimal, compared to face-to-face learning in face-to-face learning, teachers more easily understand the characteristics of their students than during online learning. Therefore, only 30% of students’ daily test scores during online learning complete the KKM. Whereas during face-to-face learning 70% of students complete the KKM
ANALISIS STRATEGI GURU DALAM MEMBELAJARKAN SISWA MEMBACA PERMULAAN DI SDN 18 TUBUNG

This study aims to determine the teacher's strategy in teaching students to read the beginning at SDN 18 Tubung. The research was carried out in the lower grades especially in the first grade. This research is a type of qualitative research where the research results are described in accordance with reality in the field. The subject in this study is a Class I Teacher and the object of this study is the teacher's strategy in teaching students to read the beginning. Data collection techniques are carried out by interviews, and observation and documentation. The research instruments used are interview guideline sheets and observation sheets. Data processing techniques go through three stages, namely data reduction, data presentation and drawing conclusions.The results of this study show that: 1) The planning stage, teachers have not been able to make learning designs; 2) The stage of learning implementation, it was found that in teaching students to read the beginning in class I, the teacher used various strategies including letter card strategies, syllable cards, and word cards, singing strategies, alphabetical methods, and syllable methods; 3) Learning evaluation stage, the teacher provides a formative evaluation by asking students to take turns reading the letters listed on the board or taking The letter cards available are as the teacher mentioned.
Translation Analysis: Syntactic, Semantic, and Pragmatic Strategies Used in Translating A Website of an Academic Institution

This research aims to discover the emerging translation strategies and the types of translation strategies most frequently used on a website of an academic institution. In finding the data, the researcher employs the descriptive qualitative method by applying the translation strategy theory proposed by Andrew Chesterman in the form of syntactic, semantic, and pragmatic strategies on a website of an academic institution such as the Universitas Hasanuddin website. There are 11 emerging translation strategies on the website; 4 Syntactic Strategies (Literal, Loan/Calque, Transposition, and Phrase Structural Change), 4 Semantic Strategies (Synonymy, Hyponymy, Distribution Change, and Pharaprase), and 3 Pragmatic Strategies (Explicitness Change, Information Change, and Transediting). The result shows that the most frequently used translation strategy is Syntactic Strategies (Literal 60% or 44 data, Loan/Calque 23% or 17 data, Transposition 8% or 6 data, and Phrase Structural Change also 8% or 6 data). Then the second one is Semantic Strategies (Synonymy 7% or 1 datum, Hyponymy 7% or 1 datum, Distribution Change 64% or 9 data, and Pharaprase 21% or 3 data), and last is Pragmatic Strategies (Explicitness Change 8% or 1 datum, Information Change 85% or 11 data, and Transediting 8% or 1 datum).
Impact of SIEM on Compliance: Achieving Security and Adherence Simultaneously

Security Information and Event Management (SIEM) solutions are broadly used as important tools to identify, prevent, and respond to cyber security incidents. Recently, SIEM systems have immensely advanced to become extensive solutions that provide a broad view of IT infrastructures, help IT teams spot cyber risks, and devise proactive mitigation strategies aimed at minimizing time and expenditure for incident response. Besides, SIEM addresses a vast range of regulatory requirements, like state and international regulations with which organizations must comply together with industry-specific policies and standards. As such, this review paper explains how SIEM helps businesses meet regulatory requirements and achieve compliance with industry best practices.
Fuzzy Set Theory Applied on Li-Fraumeni Syndrome Homeopathic Selection of Remedies

In this study, by using the basic concepts and results of the Fuzzy Set Theory, the ambiguous circumstances of homeopathy, regarding the selection, dilution, and potencies are analyzed by parameterization concepts. A comprehensive study of Li-Fraumeni syndrome (LFS) as a genetic autosomal dominant disease is described as related to mutations in the P53 genes. The analysis of the effects and different potencies of some homeopathic medicines like Calcarea Fluorica, Thuja, Carcinosin, Phytolacca, and Calcarea Phos as complementary and alternative medicines are represented through the graphical representation of the different age groups of people. In the context of the Langmuir equation, the dilutions using the Hahnemann and Korsakovian methods with implementing the Fuzzy Set Theory are analyzed.