Reviewerly/exHarmony huggingface dataset:
Leadership Styles and Employee Turnover Intention: A Meta-analytic Path Analysis

This study used meta-analytic estimates and path analysis with structural equation modeling to examine the effects of leadership on employee turnover intentions. This meta-analysis integrated different conceptualizations of leadership, classified them into three categories, and analyzed the relationship between each category of leadership and employee turnover. Results from 244 studies with a total sample size of 98861 and a total effect size of 332 showed that there is (1) a significant, negative correlation between positive leadership and turnover intention, (2) a significant, positive correlation between negative leadership and turnover intention, and (3) non-significant correlation between neutral leadership and turnover intention. As expected, the highest correlation arises between negative leadership and turnover intention. Moderator analyses found that publication status, study design, cultural differences, job type, and industry moderated some but not all pairs of correlations in the study. Meta-analytic path analyses further showed that positive and negative leadership effects on turnover intention were only partially mediated by job engagement.
MEDIA PEMBELAJARAN INFOGRAFIS DALAM MEMBENTUK MINAT BELAJAR SISWA PADA MATA PELAJARAN AQIDAH AKHLAQ DI MADRASAH ALIYAH RAUDHATUL BANATH DI SIDOARJO

Interest in learning is something that is very urgent, therefore, interest in learning must continue to be formed and created and grown in all students so that later they will be successful in carrying out educational programs. The task of increasing interest in learning is a joint task, but those who have a role and closeness to students are subject teachers who often interact with them, so the creativity and innovation of subject teachers in using learning media is very important, especially in increasing interest in learning. This study aims to a) determine the effectiveness of infographic-based learning media in shaping student learning interest, b) determine the effect of infographic learning media on increasing student interest in learning. This type of research is qualitative research using a descriptive approach. There are 3 stages used in this study including data reduction, data presentation, verification and drawing conclusions. In the expert test, 2 experts were carried out, namely media experts and material experts to determine the feasibility of the product. The results of the study show that a) infographic learning media is very effective in shaping student interest in learning b) the resulting infographic learning media has the characteristics of providing feedback with automatic reinforcement, adjusting to speed, opportunity, and needs of students has visual appeal, provide different learning experiences. The implication of this research is that learning media in the form of infographics can increase student interest in learning because learning outcomes will improve by using the right learning media.
Elaborated survey of the Effectiveness and implementation challenges of Crypto currency in Supply Chain Finance

This paper aims to evaluate the effectiveness of cryptocurrency in supply chain finance. Supply chain finance (SCF) is a method of financing that allows businesses to manage their cash flow and improve their working capital by providing short-term financing to suppliers, distributors, and other partners in their supply chain. Cryptocurrency, on the other hand, is a digital or virtual currency that uses cryptography for security and operates independently of a central bank. The integration of cryptocurrency in SCF has the potential to bring a number of benefits, including increased transparency, security, and efficiency in financial transactions. However, there are also challenges associated with the use of cryptocurrency in SCF, such as regulatory issues, lack of understanding, and volatility. This paper will review the current literature on the use of cryptocurrency in SCF and assess the potential benefits and challenges associated with its implementation. Additionally, it will provide an overview of current projects and initiatives in this area, as well as identify potential future developments. The paper will conclude by summarizing the key findings and discussing the implications for the future of SCF.
Straightforward Clarification for Fundamental Algorithms of Artificial Neural Networks

Artificial neural networks (ANNs) have revolutionized the field of science in the last few decades. Unlike classical machine learning (ML) algorithms, which require human effort to craft well-structured features, an ANN automatically extracts complex patterns as features and passes them into ML to perform various downstream tasks, such as classification and segmentation. Hence, ANNs have made most classical ML algorithms obsolete for many tasks. In addition, deep learning-based models, such as convolutional neural networks, recurrent neural networks, graph neural networks, and generative adversarial neural networks, accelerate artificial intelligence (AI) applications. Therefore, it is essential for novices in ML to understand the basic functionality of ANN to pursue deep learning-related algorithms. Considering this importance, this paper explains the major functionalities of ANN algorithms, such as loss function and backpropagation.
Is Status Always a Motivating Factor that Affects the Knowledge Contribution of Q&amp;A Community Users?

Status is an important individual characteristic and motivation factor affecting users’ knowledge contribution, yet the relationship between them is still contradictory. This study subdivides users and investigates the influence mechanism of core and non-core user’s online status on knowledge contribution, and the boundary condition in the process to extend previous study and solve the problem of conflicting conclusions. Based on the social exchange theory and impression management theory, our study analyzes 422905 data from 184000 users in Zhihu roundtable, using entropy weight method to identify different categories of users (core users and non-core users) and hierarchical linear modeling to analysis. We find that the perception of cost and benefit of online status and impression management motivation of different categories of users were different. The higher the status of users, the more willing core users are to take conservative defensive strategies (decrease quantity and avoid low-quality of knowledge contribution), while non-core users are to adopt active acquisitive strategies (increase quantity and provide high quality of knowledge contribution) to maintain or enhance their image and gain benefits. This study enriches the research of user knowledge contribution behavior, and has important reference significance for subsequent research on knowledge contribution by emphasizing the differences in impression management motivations, strategies and cost-benefit perceptions of different categories of users. Keywords: online status; knowledge contribution; user categories; impression management; topic attention
The current status and future mode of reciprocal film development

In the current film market, the audience is no longer the main consumer group of the film, the audience evaluation standard of the film has changed from "good" to "good", in such a background, interactive film emerge at the historic moment. Interactive films stimulate the audience participation through some means, so as to produce emotions and behaviors related to the film. Interactive movies refer to bring users into the scene through visual, auditory, tactile and other ways, so that users can have more choices and experiences in the process of watching the film. Interactive movies have not been developing for a long time, but in recent years, especially during the epidemic, "cloud viewing" has become a new normal. Therefore, this paper discusses the development status and future mode of interactive film in detail, aiming to provide help for the development of interactive film in China.
E-Archive In Plaju Ulu Village Based On Web

Abstract:The focus of this research is to design a Web-Based E-Archive in Plaju Ulu Village for services regarding E-Archives.The system development method uses the prototype method, while the system modeling uses Data Flow Diagram. This application testing is done using black box testing, where this testing is used to see done only observe the results of execution through test data and check the functionality of the software.The results of this research produce an e-archive application, and can provide information about any archives in Plaju Ulu Village, Palembang City. The system testing technique used in this study is black box testing, this test obtains input conditions for all functional needs of the program. Based on the test results ranging from admin features, incoming mail data features, outgoing mail data features, personnel data features, incoming mail archive features, outgoing mail archive features, all results are valid or successful. Users of this e-archive application consist of services, kasi, and lurah.&#x0D; .Keywords: E-Archives, Data Flow Diagram, black box testing; application.
KLASTERISASI SENTIMEN ULASAN PENGGUNA APLIKASI BCA MOBILE PADA PLATFORM GOOGLE PLAY STORE DENGAN ALGORITMA K-MEANS CLUSTERING

Financial banking app is increasingly becomes part of daily lifestyle. From survey conducted by Top Brand Index showed one of the most popular banking app is BCA Mobile. This study was conducted to analyze BCA Mobile app user feedback from App reviews in google play store platform. The data is collected using scrapping method with google-play-scrapper library in python. Using K-Means Clustering algorithm to analyze 662 reviews in 26 December 2022 until 30 December 2022 time period. The clustering process is supported by Term Frequency-Inverse Document Frequency weighting method to help calculate the importance of a word in a set of document. This clustering process produces ten cluster, with silhouette score of 0.1027277 and average star rating of 2.65. &#x0D;
PERANCANGAN DASHBOARD UNTUK PEMANTAUAN TERHADAP KEBUTUHAN PEMBELIAN MATERIAL PADA PT XYZ MENGGUNAKAN METODE OLAP

This XYZ company is engaged in Agribusiness. In the process of coconut processing palm oil needs the help of materials such as iron, steel, and so on. The data to be processed from this company is material purchasing data. Of course, processing this data requires an application from the business intelligence or commonly abbreviated as Business Intelligence or BI. Deployed BI application is a dashboard to display the amount of material purchases along with targets, Order Unit, Category, Location, and Date. The process is created with perform ETL processing on OLTP, and OLAP data. Then will make dashboard using Power BI which is then uploaded to the website so that it can be accessed by users online. In this research method using the OLAP method. This OLAP method aims to analyze deeper data regarding the year, month, and date. Analyze in more detail using drilldown. The drilldown is used in order to be able to analyze in detail the amount of material purchase requirements which will be analyzed in more depth regarding the achievement of material purchasing needs. The final result of this research is a dashboard. This can be used as a reference by the user for material monitoring and analysis
2 User-centered recommender systems

Recommender systems aim at facilitating users’ search and decision-making when they are faced with a large number of available options, such as buying products online or selecting music tracks to listen to. A broad range of machine learning models and algorithms has been developed that aim at predicting users’ assessment of unseen items and at recommending items that best match their interests. However, it has been shown that optimizing the system in terms of algorithm accuracy often does not result in a correspondingly high level of user satisfaction. Therefore, a more user-centric approach to developing recommender systems is needed that better takes into account users’ actual goals, the current context and their cognitive demands. In this chapter, we discuss a number of techniques and design aspects that can contribute to increasing transparency, user understanding and interactive control of recommender systems. Furthermore, we present methods for evaluating systems from a user perspective and point out future research directions.
Corruption and economic growth in Nigeria: dynamic causality and asymmetric relationships

Purpose This study aims to intend to investigate the dynamic causality and asymmetric relationships between corruption and economic growth of Nigeria. Design/methodology/approach Toda–Yamamoto (TY) Dynamic Causality Test and Non-linear Autoregressive Distributed Lag Model (NARDL) were used for the estimations, for the period 1984–2018. Findings The result reveals the existence of bidirectional causality between control of corruption and economic growth, Similarly, in both the short run and long run, corruption can affect economic growth and economic growth can as well affects corruption. Research limitations/implications Findings of the research are limited to Nigeria whose data were used, based on TY causality test and NARDL as the econometrics techniques applied, for a period 1984–2018. Practical implications For a meaningful progress to be recorded in Nigeria in terms of economic growth, the country must device some means for strengthen the control of corruption. Originality/value The study was able to prove empirically, the existence of not only causality between corruption and economic growth but also asymmetric effect of corruption on economic growth and that of economic growth on corruption in both the long run and short run, as against the previous studies that are lopsided on the effect of corruption on economic growth only.
Sun-Tracking Solar Panel System for improved Energy Collection Efficiency

This study presents a suntracking solar panel system for improved energy collection efficiency. The system utilizes a solar panel equipped with a servo that follows the sunâ€™s movement throughout the entire day to maximize collection of energy. Results show that the sun-tracking system outperforms fixed solar panels by increasing energy collection by up to 30 percent. The increased energy collection efficiency of the sun- tracking system offers a promising solution to help meet the growing demand for renewable energy sources.
A Blockchain-Based Framework for Efficient Health Record Management

The COVID-19 pandemic has significantly changed the healthcare industry’s challenges. The main impediment in front of health workers is the monitoring of patients by maintaining proper distances. The most recent technological advances aided in the resolution of these challenges. Smart and connected health (SCH) devices are a viable solution for the prevalent healthcare issues. Treatment becomes more strategic, preventive, and tailored to the individual, making it more effective. The Internet of medical things (IoMT) technology allows data to be collected remotely and treated using cloud computing to analyze it. Personal privacy is very important when it comes to healthcare data. The collected data must be transferred securely from device to computing facility. Not only should data be transferred securely, but it should also be stored securely. It must be made available to the person, and all other aspects must be prohibited. As a result, we propose a blockchain-based framework for efficiently transferring and storing healthcare data. We have chosen the hybrid consensus algorithm for blockchain implementation. The evaluation outcome depicted that the healthcare blockchain approach exhibited better results in terms of number of processed records. The hash function applied in the proposed system provides the necessary confidentiality for patient records. The provision for a public–private key combination assures patients that their records are secure and transferred to the specific person or consultant to whom they wish to show.
Professional Development of IT Industry Specialists at the Workplace: Trends, Focus and Prospects

To date the digital economy is a key mechanism for accelerating economic growth in the countries of the postindustrial stage of the development. However, at the global level, plans for its development are blocked by a serious shortage of specialists in the field of information and communication technologies, that is the main driving force of the digital economy. Therefore, the issue of overcoming the shortage of ICT specialists in order to ensure high rates of development of the digital economy and competitiveness in the global market is on the agenda today. The given study is devoted to the peculiarities of professional development of specialists in the field of information technology. The purpose of this study is to present an information model for organizing professional development for IT specialists at the workplace, built on the basis of the architecture of modern IT competencies. The work presents the results of the implementation of the preparatory, analytical, empirical stages of the study. Within the preparatory stage, a selection of relevant educational and end-to-end technologies, that can ensure effective interaction between the subjects of the educational process, was made. At the stage of analytics, an analysis of the structure of the IT-specialist market was carried out. At the third stage, an analysis of data on the needs of the IT industry and the labor market was conducted. The results of the study can be used as initial work-based data for organizing professional development for IT specialists.
VISUALISASI DAN PREDIKSI KEDATANGAN PENUMPANG NGURAH RAI MENGGUNAKAN METODE HOLT-WINTERS

I Gusti Ngurah Rai International Airport is one of the airports in Indonesia which is located in Bali which has a large number of passenger arrivals because Bali has many interesting tourist attractions to visit. I Gusti Ngurah Rai international airport data certainly has a large size so that Business Intelligence (BI) technology is needed, namely a dashboard to process this data and gain insight. Forecasting the number of passenger arrivals is also carried out in order to be able to analyze what the number of passenger arrivals would be like in the future. Therefore, in this case the dashboard was made using the prototyping method and data mining with forecasting or forecasting using the Holt-Winters triple exponential smoothing method. The smoothing parameters used are alpha = 0.3, beta = 0.01, and gamma = 0.01 with the MAPE result of 32.04%. With the visualization on the dashboard, it is hoped that it will make it easier for the company that manage the airport to monitor the number of passenger arrivals at I Gusti Ngurah Rai International Airport so that they are able to make decisions in managing the airport.
PERANCANGAN APLIKASI BERBASIS WEB UNTUK PEMESANAN PRODUK EKSTERIOR DAN INTERIOR PADA BENGKEL LAS KRISNA

One way to create information services for consumers is to create a website. At this time the website is easily accessible by the public, besides that the website also has many advantages, namely being able to provide information accurately, easily and quickly to be accessed which can help consumers to find out about a product that is needed. Welding workshop business is a business that is much needed by the community. Krisna welding workshop is a workshop engaged in the business of welding services and the manufacture of exterior and interior products that use iron as basic materials. To help make it easier to provide information to consumers and help process reports, a web-based application design is made for ordering iron-based exterior and interior products at a krisna welding workshop. The method that will be used to design this application is to use the waterfall method. Using the waterfall method so that the design made can be more structured because the waterfall method has stages that can make the flow of this design run more optimally. And of course the transaction can run smoothly, and the flow of the transaction process can be well structured.
SISTEM PENDUKUNG KEPUTUSAN DALAM KELAYAKAN PENGAJUAN KREDIT KENDARAAN BERMOTOR DI PERUSAHAAN X MENGGUNAKAN METODE NAÏVE BAYES

The purpose of this research is to analyze and design a program that can assist decision making in the process of accepting a motor vehicle loan application in accordance with the given criteria so as to produce a prediction of the value of opportunities in the feasibility of granting motor vehicle loans and minimize human errors that occur in the process Credit Application data analysis. The method used in this research is one of the classification methods, is the Naive Bayes algorithm menthod.&#x0D; The results of the research that has been carried out are applications that are designed to calculate the probability value of the data criteria that have been entered, so that a decision suggestion can be obtained whether the data can be accepted or rejected, from research conducted the more training data provided, the more accurate the value will be. generated probabilities, and the designed application is executed through the Microsoft SQL Server Management Studio (SSMS). From the results of the experiments that have been carried out, it can be seen that the program can provide probability values ​​according to the Naive Bayes method according to the criteria data provided.
Research on Innovative Strategies for Online Education Management in Universities in the Era of Big Data

In the era of the Internet, the continuous development of information technology represented by 5G, big data, artificial intelligence, etc. has driven the transformation of university education from traditional offline education mode to digital, networked, and intelligent online education mode. Online education in universities has become an important way to promote educational reform and innovation. However, in the process of Digital transformation of education, there are still many problems such as solidification of teaching management mode, insufficient integration of online resources, lack of intelligent education practice platform, etc., so it is urgent to improve the online education management ability of colleges and universities. In the future, university education management needs to use big data tools to improve management level, explore educational resources, unify teaching and learning, and achieve the transformation and upgrading of online education management mode.
PERANCANGAN SISTEM INFORMASI NILAI MURID BERBASIS WEBSITE PADA SMA PELITA KASIH

The development of science and technology is increasingly rapid in the field of information technology such as internet technology. In the education sector in Indonesia, almost all tertiary institutions are quite familiar with and make good use of internet technology. Such as services to find out information on tuition fees, grades, and so on.&#x0D; At the level of high school education (SMA). Not many schools are well acquainted with the benefits of this internet technology. One of them is SMA Pelita Kasih, this technology is only used as an additional facility to display simple information. This technology has not been utilized as the main media database, one of which is a valuable. Value data processing is still done manually, this process is considered quite slow and requires precision to maintain the accuracy of the data. Therefore it is necessary to develop a system to streamline time and maintain data confidentiality.&#x0D; In developing this system, the stages used were from the Development System Development Life Cycle (SDLC), namely, Planning, Analysis, Design, Programming, Testing, Operation, and Maintenance. While the programming language used by the author is XAMPP and Sublime Text 3.