Reviewerly/exHarmony huggingface dataset:
Multiple Choice Question Difficulty Level Classification with Multi Class Confusion Matrix in the Online Question Bank of Education Gallery

The importance of test question planning as a critical element in improving the quality of education is undeniable as it helps teachers evaluate student understanding. The creation of questions must consider the level of difficulty, which is often divided into three categories: easy, medium, and difficult. Predicting the difficulty level of questions has great importance as it helps teachers create test questions that match students' abilities. In this study, we view the identification of item difficulty as a classification problem. The data used includes questions from elementary and junior high school, with various machine learning methods applied to perform classification. We tested Random Forest, Logistic Regression, SVM, Gaussian, and Dense NN, considering embedding, lexical, and syntactic features. The evaluation results show that the best method in identifying the difficulty level of questions in subjects is using Random Forest, resulting in an accuracy of 84%. Meanwhile, in other cases, the best method is also Random Forest, with an accuracy of 80%. Our research shows that the use of feature embedding and TF-IDF has a significant positive impact on the accuracy of the resulting model.
Acceptance of Information Technology Security Among Universities: A Model Development Study

This study aims to investigate the acceptance model of information technology security among religious higher education institutions in Indonesia, especially focusing on lecturers or lecturers. This study adopts the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) model with the addition of additional variables, namely security, privacy, and trust. As reflected in various studies of information systems (IS), many IS models are developed by adopting, combining, and adapting previous models. The researcher in this study developed his model based on input-process-output logic as well as processional and causal models of the information systems (IS) success model. The resulting model has a structure with ten variables and 43 indicators. The relationship between variables is explained through 19 influence links. In addition, in the implementation of the study, the authors break down the model into more detailed assessment instrument levels. Although this model development study may have limitations related to the assumptions used and the researcher's understanding, it has the potential to make a theoretical contribution in terms of the proposition of the new model. In addition, it is important to consider transparency in the development of proposed models and data collection instruments presented as practical points for further research in the context of religious higher education institutions in Indonesia.
Image Classifier based on Histogram Matching and Outlier Detection using Hellinger distance

In this paper, we developed a prediction model based on histogram matching of Chest X-ray images. Hellinger distance metric is used to match two histograms. The chest x-ray images are pre-processed and converted to histograms. A benchmark histogram is obtained by finding the average of all pixel intensity values. Then outlier images are detected by comparing the histogram of an image with the benchmark histogram using the hellinger metric. Finally, a prediction method is proposed which matches the histogram of unseen images to histograms of nearest neighbor images. Hypertuning of input parameters to the proposed prediction method is performed to get the best set of parameters. The proposed model gives an accuracy of 92.3 % and F1 score of 94.6 % on the training set, accuracy of 86.2% and F1 score of 89.6% on the test set.
Menelusuri Gejolak dan Antusiasme Tren Pencarian Genre Musik di Indonesia dari 2018 sampai 2023

Purpose: The purpose of this research is to analyze the search trends of music genres in Indonesia in the period of 2018-2023. In this study, four popular music genres in Indonesia were used as analysis samples, namely; Islamic music, jazz music, rock music, and dangdut music. Method: The method used is a qualitative type, which acts to describe the data narrative read from the google trends tool which also functions as a data analysis instrument. Result and Discussion: The results of this research found; that (1) The search trend for dangdut was very popular in the duration of 2018-2023 beating the three other music genres, even the search trend for dangdut music dominated in almost every province in Indonesia (2) The search trend for jazz music and rock music competed fiercely in the period 2018-2023, overtaking each other in that period. (3) In terms of graphical appearance, the trend of Islamic music does not seem to increase much compared to the search trends of the other three music genres throughout the last five years (2018-2023) (4) Central Java and Lampung provinces always appear in the top five provinces in the search trends of Islamic music, jazz music, rock music, and dangdut genres. Conclusion: The conclusion obtained in this study is that the search trend for certain music genres is strongly influenced by the culture or group of people who have an attachment to it. The more the music genre can enter many groups of society, the more fans there will be and of course this will increase the search trend for the music genre on social media, as discussed in this study.
Analisis Sistem Pengendalian Internal terhadap Akuntansi Persediaan Barang pada Indomaret Dwikora 2 Palembang

The problem that occurs in this company is the frequent loss of inventory. Therefore this study aims to determine the procedure for receiving, issuing goods and to evaluate the internal control system for inventory accounting at Indomaret Dwikora 2 Palembang. This study uses qualitative data analysis and data obtained through observation, interviews and documentation. From the results of the study, it can be concluded that the internal control system implemented by the company has not been running effectively and efficiently because there are several elements of internal control that have not gone well, such as the absence of strict separation of store functions and warehouse functions and goods inspection transactions. implemented by one function only. In addition, regular employee rotation has not been carried out, in warehouses and Indomaret stores there are still several CCTVs whose cameras are blurry and even turn off and there is also no monitoring function that aims to monitor consumers who shop at Indomaret stores so that they can anticipate acts of theft and the like..
Sistem Informasi Sebagai Peluang dan Tantangan Dakwah

Application of a management information system to the Da'wah Organization Management Organization, which entails knowledge of the management information system, its goals, benefits, and features, as well as the Da'wah Organization Organization's management information system, from which we can learn how to apply this In missionary organizations, there is management, which starts with data processing and ends with data programming. Information systems need to be capable of offering useful information to managers, especially for users, in order to support operations and management within an organization in an integrated manner. Today's organizations need the involvement of many more internal parties than they did in the past when it came to their role and involvement in the development and management of information systems.&#x0D; Keywords: development, information systems, management
Intelligent Inspection for Pipeline System

It is important to monitor the pipeline on a regular basis to reduce the possibility of leaks, spills, and theft. This inspection also serves to record real occurrences and their environmental impacts. With the support of advanced GPS, sensors, and communication technologies, unmanned aerial vehicles (UAVs) provide the support of intelligent inspection for pipeline systems. UAV path planning is an important part of pipeline inspection, which is to design a flight path with the least cost or time in advance. This chapter introduces the development of mathematical models and efficient solution algorithms for UAV path planning. The model strictly considers multiple inspection missions, the intricate terrain threats, and the harsh operational requirements. Meanwhile, for the complex structure and the large scale of pipeline, improved intelligent algorithm is used to improve the efficiency of model solution.
MULTI-DOMAIN MACHINE LEARNING APPROACH OF NAMED ENTITY RECOGNITION FOR ARABIC BOOKING CHATBOT ENGINES USING PRE-TRAINED BIDIRECTIONAL TRANSFORMERS

Chatbots have recently become essential in various fields, ranging from customer service and information acquisition to entertainment. The use of chatbots reduces operational costs and human errors while providing services at any time. This work presents a Named Entity Recognition (NER) model for the Arabic booking chatbot, focusing on booking tickets and appointments across multiple domains. This research paves the way for the development of chatbots that can support multiple booking domains, contributing to the advancement of the Arabic language in this field. We adopt deep machine learning and transfer learning approaches to solve this task. Specifically, we utilized and fine-tuned the AraBERTv0.2 base model to develop the Named Entity Recognition for Booking Queries (NERB) model. Furthermore, we extended it to the Domain-Aware Named Entity Recognition for Booking Queries (DA-NERB) model by adding an additional input for domain type and an embedding layer. The input to our proposed model consists of text sequences of reservation requests, while the output includes sequences of tags representing entities within the input sequences. For training and testing, we synthesized the Arabic Booking Chatbot-Synthetic Dataset (ABC-S Dataset), comprising 76,117 reservation samples that span seven different domains and encompassing 26 categories of named entities. Additionally, we collected the Arabic Booking Chatbot-Collected Dataset (ABC-C Dataset) from volunteers to evaluate our model using various samples. It's worth noting that these datasets are written in informal Arabic, specifically the Levantine dialect. The proposed model achieves 100% and 96.9% accuracy scores on ABC-S (test set) and ABC-C, respectively. Both the datasets and the code for our model are publicly available to support research in the field of Arabic chatbots.
The Evolution of CBDC in G20 Economies Design, Progress and Strategy

This paper aims to provide a comprehensive examination of the rapidly evolving landscape of Central Bank Digital Currencies (CBDCs) within G20 economies. It seeks to differentiate the primary use cases of retail, wholesale, and cross-country CBDCs across the four development stages: research-, development-, pilot- and live-stage. The research reveals that, except for Argentina, all G20 economies are in advanced research or proof-of-concept stages, each with unique motivations and design considerations. Also, eastern nations, notably China, India, and Russia are progressing toward the imminent launch of retail CBDCs. In contrast, predominant western economies like the USA, UK and Eurozone remain in exploratory phases, preparing for a potential future launch should CBDC integration become necessary. Also, it can be concluded that CBDC is seen as an addition to cash and not as a replacement in all portrayed economies. Furthermore, most countries are undecided regarding the underlying technology, but are certain to distribute CBDCs via intermediaries and not directly via the Central Bank to avoid disintermediation. Noticeably, most G20 economies are involved in one of twelve international projects for cross-country CBDCs which are currently underway.
Non-contact topography using quadratic optimization approach in diffraction phase microscopy

In this article, we present an approach that utilizes a quadratic optimization procedure enabling nanoscale surface profile measurement. The effectiveness of this method is demonstrated through experimentally obtained noisy interferograms.
Frequency-Domain Engineering of Bright Squeezed Vacuum for Continuous-Variable Quantum Information

Bright squeezed vacuum (BSV) is a non-classical state of light offering capacity for encoding information. We design quantum correlations of BSV using nonlinear holography, showcasing cluster state generation and spectrum shaping for quantum information applications.
Femtosecond Laser based Post-Processing Free True Random Number Generator

We experimentally demonstrate a high-entropy source based on the intensity fluctuation in a femtosecond laser. The setup successfully passes statistical tests without any post-processing. The generator can be potentially used for quantum communication and cryptography.
Web-Based Programming of Geographic Information System Programming Of Broken Road Mapping In Kampar Regency

In Kampar Regency, congestion occurs at many points, both on protocol roads and village roads. In addition to the fact that Kampar Regency has a large population, the density of transportation or congestion that occurs is also caused by damage to roads. This is also a factor that causes traffic accidents on the highway. The damage to the road could not be handled quickly by the Kampar government. This is because Kampar Regency has a fairly large area, and the survey process that must be carried out is quite time-consuming and costly. Difficulties are also experienced by the community who wants to report a road damage, including because they do not know the procedure that must be done to report it. The Road Reporting System, offers a reporting mechanism, where the reporter can send his report anywhere in Kampar Regency to the Department of Highways of Kampar Regency. The purpose of this research is to make it easier for the public to report damaged road conditions using a damaged road reporting system website that can be accessed online. . The research method used in this research is the waterfall method. This waterfall method has a sequential flow of software starting from planning, analysis, design, implementation, testing, and maintenance. This system design uses Unified Modeling Language (UML) and Object-Oriented Analysis Design (OOAD). The programming language used is PHP Framework Yii and MySQL database.
Impact of Social Media on Sales Activities of Small Businesses in Hyderabad

Abstract: Social media can be a powerful tool to help businesses in any size to reach their sales targets. This study attempts to investigate the impact of social media on sales activities using a quantitative approach to obtain a profound view of this phenomenon. An online questionnaire was distributed to the listed small businesses in Hyderabad, Telangana State, India via their emails. Data were collected from small businesses through self-administered questionnaire. 197 participants were accomplished. Descriptive and inferential statistics are applied to the measured variables under study. Brand Awareness, Sales Transactions, Sales Revenue, Engagement Tool, Customer Relations and Product/Service Improvement are used as determinants of Sales Activities in this study. Confirmatory Factor Analysis, Discriminant Validity and Hypothesis testing are used in the practical analysis to examine the impact of social media on the determinants of sales activities. The results show that social media has a positive significant impact on the all involved variables (constructs) i.e., Brand Awareness, Sales Transactions, Sales Revenue, Engagement Tool, Customer Relations and Product/Service Improvement. Apparently, small businesses should focus on social media to incorporate sales performance into their marketing tactics.
Transforming Education and Management Using Blockchain Applications

Abstract: The integration of blockchain technology has brought about revolutionary advancements in various domains, including education and information management. This research paper explores the diverse applications of blockchain in enhancing the efficiency, security, and transparency of library record management, academic records management, online attendance systems, and online exams portals.
"Transformative Realities: The Social Impact of Virtual Reality"

Abstract: The social impact of virtual reality (VR) is a multidimensional phenomenon that encompasses various aspects of human interaction, education, healthcare, and entertainment. As VR technologies continue to advance, their influence onsociety becomes increasingly profound. This abstract provides a concise overview of the social impact of VR, emphasizing key themes such as accessibility, education, and privacy. In education, VR offers immersive learningexperiences, transcending traditional boundaries and providing students with opportunities for interactive and experiential learning. However, challengesrelated to access and inclusivity must be addressed to ensure that the benefits of VR education are widespread. In healthcare, VR applications contribute to innovative therapeutic interventions, medical training simulations, and mental health treatments. The transformative potential of VR in healthcare isaccompanied by ethical considerations, including privacy concerns and the need for responsible implementation. The social impact of VR also extends to the realm of entertainment, where virtual environments offer new forms of interactive storytelling and gaming experiences. As virtual worlds become increasingly realistic, questions arise regarding the psychological and social implications of prolonged engagement in immersive digital environments. The abstract highlights the importance of cybersecurity measures to protect users within virtual networks, addressing issues such as data privacy, identity theft, and the responsible use of VR technologies. The social impact of virtual reality isa dynamic interplay between technological advancements and societal considerations. accessibility, education, healthcare, entertainment, and ethical considerations are virtual reality technologies. Virtual reality (VR) has emerged as a transformative technology with profound implications for society. Its social impact extends across various domains, influencing how individuals interact, learn, and experience the world. VR also raises ethical concerns, such as privacy issues and potential social isolation. As this technology continues to evolve, understanding and addressing these social implications will be crucial in harnessing the full potential of virtual reality for the betterment of society. As VR continues to evolve, its social impact will likely shape the way people learn, work, and connect, necessitating ongoing exploration of its benefits and challenges for society.
Blockchain disruption in healthcare industry: Case studies, challenges and way forward

Blockchain technology has emerged as a transformative force in various industries, and healthcare is no exception. The health care industry can unlock possibilities that were never even seen before since blockchain revolutionized the way this industry operates, offering unparalleled advancements in its procurement, patient services, research, and medical diagnosis. This white paper explores the potential of blockchain to disrupt and revolutionize the healthcare sector, focusing on its impact on data security, interoperability, supply chain management, and patient empowerment. Furthermore, it embarks on an in-depth study of the use cases and benefits of implementing blockchain in the healthcare industry and seeks to understand its adoption through different real world case studies. As Blockchain becomes increasingly popular today it becomes important to analyze its benefits and enable it to permeate the health care industry sustainably. The transformative journey into Blockchain has not been tapped fully and comes with a plethora of implementation and adoption challenges. This research paper also identifies the challenges faced in implementing this technology and seeks to find a way forward for this disruptive technology. Ultimately, this research paper concludes that the benefits that accrue from blockchain outweigh the challenges and encourages greater adoption of blockchain technology in healthcare due to the innumerous benefits it offers.
Features of the value-motivational component of creative industry employees' psychological readiness for career making

Introduction. The effectiveness and productivity of modern organizations in the field of creative industries, depends on their employees, in particular, employees' psychological readiness to overcome the challenges faced by organizations, as well as to develop professionally and build a career. This involves studying the level of development of the main components of employees' psychological readiness for career making, among which the value-motivational component occupies a prominent place. Aim. To find out empirically the features of the value-motivational component of the employees' psychological readiness for career making of workers in the sphere of creative industries. Methods. The data were collected and processed using various diagnostic tools and a questionnaire-passport in the form of Google Forms. Results. The authors describe the essence of the value-motivational component of the psychological readiness for career making in creative industries, analyze the levels of development of its components (career values and career motivation) and the relationship between the value-motivational component and its general indicator and its micro-level (characteristics of employees), meso-level (characteristics of the organization) and macro-level (characteristics of society) factors. Conclusions. The findings reflect the peculiarities of the development of the value-motivational component of employees' psychological readiness for career making in creative industries, in particular, in war conditions, which will be useful in career management, both for the employees themselves and for management staff.
Educational Web Solution for Cyber Security

The core objective of the study presented in this paper was to develop an all-encompassing educational platform focused on teaching cybersecurity of web applications. This effort produced a dual-component solution - The educational portal and a deliberately vulnerable web application. The paper delves into an examination of entities and collectives specializing in cybersecurity, and from this analysis, OWASP and its OWASP Top 10:2021 initiative emerged as guiding references. A comparative evaluation of existing instructional tools was undertaken to pinpoint their limitations and subsequently improve them in the proposed solution’s design and deployment. The highlight of this project is an instructional platform that provides detailed guides on developing applications and subsequently unveiling their weaknesses through cyberattacks. The intentionally flawed application constructed for simulation purposes aligns with prevailing standards and technologies. Feedback on the realized solution was garnered through tests conducted with the intended user demographic. The finalized educational platform is not only accessible globally but also holds potential as a primary or auxiliary academic resource in university settings.