Reviewerly/exHarmony huggingface dataset:
Web-Based Library Information System Using Rapid Application Development (RAD) Method at Qamarul Huda University

The library is an important part of higher education, where the teaching and learning process does not escape from teaching materials and reference materials. Qamarul Huda Badaruddin University is one of the universities in NTB which has a library with a desktop-based library system. This has an impact on the management of libraries and users which in this case students become ineffective and inefficient. With a high need for libraries, library managers, namely librarians and students as users, need a web-based information system so that they can be used from anywhere and anytime, simply using a smartphone or computer. To answer the above problems, the authors design and build a web-based library information system at Qamarul Huda Badaruddin University using the Rapid Application Development (RAD) method. The framework uses CodeIgniter which allows developers to create web applications with Rapid Application Development (RAD) development characteristics. The Qamarul Huda Badaruddin University Library Information System consists of 12 functional requirements, which cover all the requirements for the Qamarul Huda Badaruddin University library. Completion of each module also refers to all stages of the Rapid Application Development (RAD) method and all of them can run well
Implementation of the Kano Model and Importance and Performance Analysis in the Development of a Web-Based Knowledge Management System

The student department is a work unit that oversees, accommodates and handles various kinds of student activities, both academic and non-academic. The problem that is usually faced by the student department is the occurrence of a knowledge gap (k-gap) between old and new office holders. This problem is caused by the frequent rotation of positions in university departments, while this position rotation is not followed by holding knowledge sharing sessions between employees. The purpose of this research is to develop a web-based knowledge management system for student departments that can overcome the knowledge gap problem. The method used in this research is the Importance and Performance Analysis (IPA) and the Kano Model. The reason for choosing the IPA method is because IPA can be used to measure the value of respondents' mastery of research attributes and can also measure the importance value of an attribute based on the respondent's perception. The Kano model is used in this study because Kano can categorize the attributes of a product or service based on how well the product/service is able to satisfy customer needs. The result of this study is a student department knowledge management system which can reduce the value of the knowledge gap by 1.63 points.
The Impact of Leadership Styles on Job Satisfaction in the ICT Sector, Egypt

Purpose:The main purpose of this study is to investigate the impact of leadership style (transformational and transactional) on employees' job satisfaction.Design/methodology/approach: A mixed-method approach has been used for data collection.A selfstructured questionnaire with non probability convenience sampling was carried out for collecting the quantitative data.500surveys were delivered to the employees in all different management levels, but 388 respondents completed the questionnaires, making the response rate 78%.SPSS version ( 26) IBM has been used to statistically analyze the collected quantitative data.ANOVA and Multiple Regression P-Value are used to test this study's hypotheses.The semi-structured interviews have been done with 10 managers using the judgmental sampling strategy.Thematic analysis was selected as a method for analyzing the qualitative data. Findings:The findings of the study support that transformational and transactional leadership styles significantly positively affect job satisfaction among employees. Research limitations:The study is limited to the examination of two leadership styles, neglecting other styles that could affect employees' job satisfaction levels.Empirical implications: The findings of this study contribute to providing a guideline model to top management containing which behaviors of leadership should be followed when hiring managers in this sector.Top management must focus on specific behaviors related to both leadership styles that lead to increased satisfaction among employees at work.
Digitizing Learning Media of Advertising Communication Based on Multimedia Animation at Politeknik Negeri Media Kreatif

Learning Media has a very important role in the lecture process. Currently, the State Polytechnic of Creative Media (Polymedia) is not maximal in Digitizing Learning Media, lecturers still use the lecture method in explaining Advertising Communication material, Polymedia should have multimedia and animate interesting lectures for students. The State Polytechnic of Creative Media, Jakarta campus, is the object of research. The specific objective of this research is the digitization of Learning Media in the Multimedia Animation-Based Advertising Communication course. The urgency of the research is the importance of computer-based multimedia in learning so that real efforts need to be made in order to improve the quality of learning so that learning objectives can be effectively achieved. This study uses the Multimedia Development Life Cycle (MDLC) method with six stages, namely: Design, Material Collecting, Assembly, Testing, and Distribution
Face Recognition using Webcam with K Nearest Neighbors Algorithm for Employee Presence

Attendance is an activity to store data related to employee attendance. Therefore, it is necessary to have a presence with a biometric identification system such as facial identification so that the presence can run quickly and at a low cost. Attendance system helps employees and companies to run attendance faster and cheaper. The K Nearest Neighbor algorithm has a function as a classification algorithm in machine learning. The K value which is the highest accuracy by reaching 100% is 4 people with the determination of K equal to 3
Retraction: Detection and Classification of Breast Cancer Using improved Grey Wolf Algorithm (IOP Conf. Ser.: Mater. Sci. Eng. 1084 012023)

This article has been retracted by IOP Publishing following an allegation that this article may contain tortured phrases [1]. IOP Publishing has investigated in line with the COPE guidelines and have found tortured phrases to be masking overlap of other work [2-3] and agrees this work should be retracted. IOP Publishing wishes to credit PubPeer commenters [4] and the Problematic Paper Screener for bringing this issue to our attention. The authors have neither confirmed whether they agree or disagree to this retraction. [1] Cabanac G, Labbe C, Magazinov A, 2021, Tortured phrases: A dubious writing style emerging in science. Evidence of critical issues affecting established journals. arXiv:2107.06751v1 [2] Zou L, Yu S, Meng T, Zhang Z, Liang X, Xie Y, 2019, A Technical Review of Convolutional Neural Network-Based Mammographic Breast Cancer Diagnosis", Computational and Mathematical Methods in Medicine 2019 [3] Nahid A, Kong Y, 2017, Involvement of Machine Learning for Breast Cancer Image Classification: A Survey, Computational and Mathematical Methods in Medicine 2017 [4] https://pubpeer.com/publications/D2890893EA445EE73047F71B625304
Fingerprint biometric voting machine using internet of things

Free elections are one of democracy's principles. Elections will be used to choose the representatives of the people. It is underlined on how important it is to organize free, fair, and secret elections. Traditionally, voting used to be conducted by stamping on paper, then placing it in a ballot box with the chosen candidate. Each vote in every ballot box must be counted separately, and the votes for each contender must then be added up to determine which candidate had the most votes. Everything was done manually, it will take longer to announce the winner. Numerous errors are being made, but they will not change the outcome. In this study, a significant system that stops electoral malpractices and expedites the voting process will propose. The controller utilized in this project is the Arduino Uno. The user is authenticated using a fingerprint. Everybody's fingerprints differ from one another. The device is programmed using the Arduino IDE, and the ballot card is displayed, and the results are stored in the cloud. Only a registered voter may cast a vote, and the system alerts users to any fraud. This project protects citizens' freedom to vote and ensures an impartial election.
Audio Podcast and Video Practical for Short and Long-Term Memory Student

Listening items on the Marlins Test are more varied with various nationality accents. Seafarers' listening ability can be improved by listening to different language accents. This research used here is a quasi-experimental research design. The sampling method used for Non-Probability Sampling. Based on the results of the analysis and discussion, the following conclusions are obtained: there is no significant difference between Using Audio Podcast and Video Practical Training (Students with Short Term and Long-Term Memory) groups; there is no significant difference between Student Short Term Memory – Student Long Term Memory; there is a significant difference between the two Audio Podcast groups (Student Short Term Memory – Student Long Term Memory); there is no significant difference between the two Video Practical Training groups (Student Short Term Memory – Student Long Term Memory). The use of audio podcasts in teaching listening needs to be increased because it is effective for students inside and outside the classroom. The existence of podcasting contributes to helping teaching and learning activities run well. That is because listening comprehension becomes a complex process to understand spoken language in English Foreign Language learners. The use of audio podcasts in achieving listening skills in teaching activities needs to be investigated further. Literature research using the systematic review method to determine the effectiveness of audio podcasts in teaching listening at all levels of students needs to be studied further. The use of audio podcasts in teaching listening needs to be increased because it is effective for students inside and outside the classroom.
Comparison of SVM, NBC, and KNN Classification Methods in Determining Students’ Majors at SMK N02 Manokwari

The stages of choosing a major for prospective SMK students are rarely the beginning of the next career determination. The determination of the major aims to make students more directed in receiving lessons based on the abilities and talents of the students, and, of course, when the student graduates, they already have the skills to get a job if they do not continue their education to college. The method used in this study is data mining techniques. But not all data mining algorithms perform well in classifying the selection of interest paths at the SMK level. Therefore, this study will discuss the comparative analysis of the performance level of the Support Vector Machine (SVM) classification algorithm and the Naïve Bayes Classifier (NBC) and K-Nearest Neighbors (KNN). Comparison of NBC, KNN and SVM methods was measured using feeding accuracy for the KNN method to get an accuracy of 54.56%, then for the NBC method to get an accuracy of 74.78%, and the SVM method to get an accuracy of 58.70%. Then it can be concluded that the three methods, based on the attributes used by the NBC method, got high accuracy, which is 74.78%.
Multi-agent Reinforcement Learning Approach to Enhance Proactive and Resilience System based IoT

Internet of Things (IoT) systems that use reinforcement learning and multi-agent system are described in this research. Intelligent agents reside on computers that comprise this system. They enable a system to take independent actions, communicate with other systems, and adapt to changing situations. We presented a system that uses intelligent agents embedded in machines to determine which procedures are most critical and how they should be distributed. Robots with intelligent agents can improve their decision-making abilities. The proposed system and transmitting rule function compare the scheduling problem with early completion, efficiency, and delay in checking the system and the dispatching. Multi-agent using resilience systems are competitive even in a continually developing environment. It is possible that reinforcement learning with intelligence agents will be used in the future because it provides users with a unique approach to problem-solving. Additionally, these methodologies have new ways to optimize complex systems in scheduling, project planning, and other business-related domains when used in conjunction with the Internet of Things (IoT) standard technology. The rest of the paper is organized in give section, after providing the introduction, in 2nd section previous work has been discussed, in the third section, the methodology is discussed, in the 4th dataset and result and discussion is explain in the last work is concluded
Training of Using Quizizz Application to Increase the Arabic Teachers Quality in Pandemic Time

Before the Covid-19 pandemic, learning evaluations generally used question sheets in printed form which were done by students and supervised by teachers. However, during the Covid-19 pandemic, it was not possible to use the evaluation sheet in printed form. Evaluation sheets using paper are less effective in their implementation. This makes a demand that Arabic language teachers or educators must be able to optimize the use of website-based applications as an easy means of evaluating learning so that the learning process can be more interesting and challenging. Therefore, the article gave the training of Using Quizezz Application to Increase the Arabic Teachers Quality in Pandemic Time. This Community Service uses the ABCD (Asset-based community development) approach. Through the ABCD approach, community members are facilitated to formulate a change agenda that they consider important and useful. Elementary or Madrasah Ibtidayah Arabic Subject Educators in Metro City as partners have scientific assets and expertise in the Arabic language field who will be assisted to learn about the quizizz application as an effort to become innovative educators. The Quizizz application makes it easy for educators to give questions or exercises online to be more effective and efficient. This training is carried out by the Arabic language teacher community at the elementary/MI education unit level in Metro City. This training prioritizes the utilization of the potential and assets that already exist in Arabic teacher educators
Analysis of Code-Mixing in an English Learning Platform on Youtube

This study aims to determine type of code-mixing and function of code-mixing in English learning platform on YouTube. This study is important because by knowing more about the type and the function of code-mixing, we can have broad knowledge of language use. This study employed a qualitative method because it described a phenomenon under a study. In collecting the data, this study analysis the data (video) by watching. The results of this study are to find out some examples types of code-mixing from Aaron’s English YouTube Channel. There are two types namely intra sentential mixing have two forms specifically word and phrase then extra sentential mixing. Categorizing the code-mixing function from the example of the expression, and there are two functions from the results of this analysis, namely suggestion and emotional expression.
Efektifitas Peningkatan Literasi Berbasis Inklusi Sosial di Dinas Perpustakaan dan Kearsipan Kota Payakumbuh

The current development of technology and information has a major impact on the development of people's lives, because people must be able to adapt and follow developments in technology and information. The purpose of this study is to determine the effectiveness of increasing literacy based on social inclusion. The type of research used is qualitative with a descriptive approach by interviewing three (3) informants, namely the Head of the Payakumbuh City Library and Archives Service, the Ipil Susanti librarian, and the community as a member of TBM, namely Sesmi Anggia who participated in the socialization activity. The research results obtained are literacy development activities based on social inclusion at the Payakumbuh City Library and Archives Service which can be said to be effective, we can see this from increasing community literacy and the community gaining new knowledge about business opportunities and changing the mindset of the community that libraries are not only a place to store books but the function of the library is more than that.
Study assessing the effectiveness of digital education programs

Margins between education and technologies have become progressively slimmer.Many studies in this field have been premeditated and launched by social organizations, governments, and corporate entities.Still, very few studies and approaches have attacked challenges, dilemmas and opportunities of assessments carried out in projects that combine education and innovation.So, how do we evaluate those initiatives?Which approaches could be used?What do the several appraisals understudy give insight towards?
Review of 3D Data Creation to Curation: Community Standards for 3D Data Preservation

Review of Moore, Jennifer, Adam Rountrey, and Hannah Scates Kettler, eds., 3D Data Creation to Curation: Community Standards for 3D Data Preservation. Chicago, Illinois: Association of College and Research Libraries, 2022.
Implementation of Autoregressive Language Models for Generation of Seasonal Fixed-form Haiku in Japanese

This paper describes the implementation of an artificial intelligence haiku generator. We trained language models using existing haiku and literary studies, evaluated model performance using automatically computable evaluation indices such as perplexity, and subjectively evaluated the generated haiku by using a questionnaire.The main contributions of this paper are as follows. First, the effectiveness of a series of model evaluation processes, including automatically calculable evaluation indices and the results of subjective evaluations using questionnaires, is investigated. These processes are effective in the development of haiku generation models. Second, high-quality haiku generation is achieved using high-performance language models such as GPT-2 and BART.The results of the questionnaire survey revealed that it is possible to generate sensible haiku comparable to those written by humans.The insight gained from this study is applicable to other generative tasks.
A Recommendation Mechanism for a Non-Fungible Token Trading Platform

Technology has evolved at an increasing pace over the decades, blockchain is used in many fields, and Non-Fungible Token (NFT) is one of its applications. With NFT, all digital assets can be freely traded because NFT establishes a unique token for each asset. From the transaction statistics, it can be found that the transaction volume in the past six months has increased explosively, and the projects uploaded to the NFT trading platform have also increased; but it also means customers need to spend more time finding what they want. Active recommendation systems can be used to solve this problem to reduce search cost. This study proposes a recommendation system for NFT tokens, compares the similarity between items, and analyzes buyers' collection data to prove that the recommendation theory proposed in this study is valid.
Designing a Sustainable Competitive Advantage Model based on Blockchain Technology in the Food Industry

Blockchain technology is a growing digital technology and provides competitive advantage for the food industry. The aim of this conceptual and empirical study is to identify the key indicators for creating a sustainable competitive advantage in the food industry based on Blockchain technology through investigating the literature. Then, using Delphi method, the importance of each indicator is determined based on the experts’ opinions. For this purpose, about 2346 online questionnaires were sent to university professors and experts in the field of blockchain. About 36 people responded to the online email and responded to the questionnaire completely. The research findings indicate that the indicators of permanent storage of information, supply chain coordination, improved performance appraisal, simplification of international transactions, traceability and fraud prevention are the top five indicators, respectively. This research helps the decision makers in the food industry to achieve a sustainable competitive advantage compared to their competitors in the market by using blockchain technology.
Research Hypothesis and Methodology

Based on the state of the art, research gaps are identified and the research hypothesis is formed. Furthermore, the base approach of the thesis, i.e. the algorithmic support structure design, as well as its structure is presented.
Inferring Sequences Produced by the Quadratic Generator

The Quadratic generator is one of the number theoretic pseudorandom number generators. It works by iterating an algebraic map $$F(V_i)=V_{i+1}=aV_i^2+b~\textrm{mod}~p$$ on a secret random initial seed $$V_0$$ . In this paper, we use the iterative relation of the Quadratic generator to reconstruct the relevant modular equation and improve the security bound from $$\frac{1}{5}$$ to $$\frac{1}{4}$$ in the case of multiplier a known and shift b unknown, based on Coppersmith’s method for finding small roots of the modular equation. That is, in the case that the bit size of the unknown variable is $$\frac{1}{4}$$ of the modulus, we can recover the initial seed $$V_0$$ , the map F, and the subsequent sequence.
PENGENALAN POTENSI BAHAYA KEBAKARAN SEBAGAI TINDAKAN PENCEGAHAN KECELAKAAN KERJA PADA PEGDAGANG SEKEN SEPEDA LISTRIK DI KELURAHAN X KOTA BATAM

Fire is an unwanted event for everyone and fires can also be fatal. Fires can occur anywhere and anytime, in places or buildings that are at risk of fire hazards (Ramli, 2010). One of the interventions that can be done to overcome the risk of fire is the introduction of potential fire hazards and their prevention measures. The purpose of this service is to provide knowledge about the introduction of potential fire hazards to used electric bicycle traders in Tanjung Sengkuang Batam. This service is carried out for approximately one month. This service program has several activities, namely identification, and implementation of counseling for electric bicycle traders. This service is carried out at a used electric bicycle dealer in ward, Batam. It was found that some bicycle traders still do not know about the risks that will arise from electric bicycles and their preventive measures by using tools such as a light fire extinguisher (Apar). The output of this service is an increase in public knowledge about the risk of fire and what actions will be taken. The advice given to the puskesmas is to make a program related to Occupational Health and Safety (K3), especially regarding the risk of fire, preventive measures, and personal protective equipment (PPE) used by traders when working.&#x0D; Keywords: Fire, Secondhand Trader, Electric Bike