Reviewerly/exHarmony huggingface dataset:
Upaya Meningkatkan Hasil Belajar Mata Pelajaran PPKn Siswa Melalui Media Quizizz Kelas X di SMK N 1 Percut Sei Tuan

This research aims to improve learning outcomes in Civics subjects through the use of Quizizz media in class X at SMK N 1 Percut Sei Tuan. The research method used is classroom action research which is carried out in two cycles, each consisting of planning, implementation, observation and reflection. The subjects of this research were class X students of SMK N 1 Percut Sei Tuan. The data collection methods used were tests, observations and interviews. The research results show that the use of Quizizz media can significantly improve learning outcomes in Civics subjects. The results of this study show a significant increase in the learning outcomes of students who use Quizizz media compared to the control group. Apart from that, the use of Quizizz media also increases students' interest in learning and provides an interactive and fun learning experience. These findings indicate that the use of Quizizz media can be an effective alternative in improving learning outcomes in Civics subjects in vocational high schools.
Research on Recommendation Mechanism and Algorithm of Digital Intelligent Media Technology

With the intelligent and digital development of media technology, people are eager to obtain the information they need at a faster speed. Therefore, the recommendation system has become one of the most concerned research topics in the era of big data. Based on the in-depth analysis of existing research, this paper conducts research on the optimization of information recommendation algorithms that integrate clustering mixed information recommendation algorithms, which can make full and efficient use of additional auxiliary information, so that the model can collect, analyze, and integrate the characteristics of news information, adjust The user's interest preferences can greatly improve the performance of the recommendation system.
Recommendation Algorithm for Teaching Resources of Horse Racing Courses Based on Fuzzy-AHP Model

With the rapid development of intelligent technology, intelligent education and online teaching have also developed rapidly. The number of teaching resources also shows a trend of explosive growth. The continuous increase in the number of teaching resources makes it difficult for users to obtain appropriate teaching resources in a short period of time with low recommendation efficiency. In order to improve the efficiency of teaching resource recommendation, this paper introduces Fuzzy-AHP Model into the research of recommendation algorithm. Recommendation algorithms for the improved joint probability table model and the cognitive diagnostic model are both evaluated as needed. Finally, an empirical analysis is conducted to determine the correctness and practicality of the theoretical logic of this model, which serves as a theoretical reference for the reform of horse racing course resources, and provides a reference for the assessment methods of other professional course classes.
Analisis sikap pustakawan dalam melayani pemustaka berdasarkan kode etik pustakawan di perpustakaan umum kota padang panjang

The main problem in this thesis is how the attitude of librarians in serving users is based on the librarian's code of ethics at the Padang Panjang City Public Library. The purpose of this research is to describe the attitude of librarians about Asta Ethics of librarians in providing services to users at the Padang Panjang City Public Library, as well as to describe the perceptions of users of the services provided by librarians at the Padang Panjang City Public Library. Asta ethics are guidelines for librarians to behave and act in accordance with the regulated code of ethics. This type of research is qualitative with a descriptive approach. Data collection techniques through observation, interviews and documentation. Data analysis techniques start from data reduction, data presentation and drawing conclusions. Guarantee the validity of the data in this study using source triangulation. The results of the study show that the attitude of librarians regarding basic ethics in the Padang Panjang Public Library as a whole, all librarians have understood the meaning of basic ethics in general. Asta ethics is important as a rule that must be obeyed and used as a guide in carrying out duties in a professional manner. Asta librarian ethics are eight codes of ethics for librarians in providing library services to the community. The librarian's code of ethics is a moral requirement that librarians should follow and comply with. The role of asta ethics for librarians in providing services to users is very important. As for the user's perception of the attitude of librarians in providing services, librarians have not fully been able to apply ethical standards, as there are still some librarians who show an unfriendly attitude in serving users, speak in a high tone so as to disturb the peace of the user and the lack of librarians in applying thanks to users , even though this is something that is very easy to say to someone. Then the efforts made by the library for the attitude of librarians who are not well received by users are by evaluating performance and improving the quality of its human resources. Suggestions from researchers for librarians at the Padang Panjang City Public Library are that librarians are expected to increase their understanding of librarian ethics and increase their role according to ethical standards in providing services to users.
Research on the application of human-computer interaction based on Kinect gesture recognition technology

Within the modern computer research field, human-computer interaction based on gesture recognition as a hot research technology has a wide range of applications in various fields and even in various industries. The author uses Kinect gesture recognition technology as a device for collecting images, through which static and dynamic gestures are recognised and the final research results are programmed and transmitted to the NAO robot, thus realising the human-robot technology. The paper is based on RGB-D for static and dynamic gesture recognition respectively, and the results are programmed to control the NAO robot's movements.
Hubungan Desain Interior Terhadap Kenyamanan Pemustaka Di Perpustakaan Umum Kabupaten Solok

This research develops three main issues, namely how is the interior design condition in the Solok Regency Public Library, what is the comfort level of the users in the Solok Regency Public Library, is there any influence of the interior design of the library on the comfort level of the users in the Solok Regency Public Library. The purpose of this study was to determine the effect of the relationship between library interior design and the comfort level of users, the interior design includes layout, lighting, and temperature, with partial and simultaneous research. The type of research that researchers use is the type of associative research or relationship (influence) using a quantitative approach. This research was conducted at the Solok District Public Library. The population used in this study were users who visited the Solok District Public Library using the incidental sampling technique. The number of samples taken by the researchers totaled 87 samples. Data collection using questionnaires and questionnaires. Validity test, reliability test and product moment correlation test using IMB SPSS v20 program. The results of the study can be concluded that the r value of 0.667 is categorized as moderate and positive, meaning that there is a relationship between the interior design of the library and the comfort level of users and the results of the simple regression equation, Y = 79.415 + 0.659X. The two levels of influence between variable X and variable Y are 44%. So this can be interpreted that 56% of interior design is influenced by factors other than user comfort. With a regression coefficient b = 0.667 indicating the magnitude of the addition of the user's comfort level for interior design assessment. The results of hypothesis testing are done by t test with an error of 5%, then t table = 1.262 is obtained. If t count = 2.529 &gt; t table = 1.262, then Ho is rejected and Ha is accepted, which shows that there is an influence of interior design on the comfort of users in the public library of Solok Regency.
Analisis Sensor dan Pelarangan Buku Pada Perpustakaan Nasional Proklamator Bung Hatta

Censhorship and prohibition of books should be done in the library so that it can provide information of an educational nature and have value relevant to the needs of librarians. The study aims to analyze the prohibition and sensing activities of library materials in the National Library of Proclamator Bung Hatta Bukittinggi. The type of research used in this research is qualitative with descriptive analysis. Sampling techniques use purposive sampling with specific criteria to answer research problems. Primary data sources are obtained from the procurement head, librarians, and library publishers. The data collection methods that the researchers use are observations, interviews, and documentation. Then the data analysis, i.e., data reduction, after submitting the subsequent conclusion drawings to disaggregate the results of the research A data validity test using source triangulation aims to check the validity of the data, whether or not it is valid from the source. The results show that the Prolamator Bung Hatta National Library has carried out book censorship activities based on UUD 1945 Alenia 4, Act No. 4 of 1990 on the surrender of printed and recorded works, and Law No. 43 of 2007 on libraries. The three rules of law—these invitations are consistent with each other. In connection with the prohibition of the books, the authorities were not authorized to prohibit public access to the books but to restrict the age and purpose of the readers in order not to misuse the information.
Sistem Open Source Dan Pemanfaatan Bagi Perpustakaan

This research is an open source system and utilization for libraries with the aim of providing information and the use of information technology systems, of course also getting great benefits from the application of open source systems in libraries, so that with this presence it will be effective in carrying out systems in libraries. In research using a qualitative approach and descriptive method to provide an explanation and present the research data that has been analyzed. As for the technical data collection in this study is descriptive then perform processing with analytical techniques which will be formulated in the form of words not numbers. The results of this study indicate that Open source is an open source code, where there is freedom in using it, either to study, add, subtract, modify or re-revise. Everything can be done without having to pay royalties to the previous creator, but is free in the sense that he is responsible by not eliminating the copyright of the creator.
A web service-based architecture for virtual labs in academic institutions

Web service-based architecture for virtual labs is a cloud-based architecture that intended to be used in academic institutions as a reliable alternative for the existing physical labs. This study would try to come up with a systematic architecture that would present a good alternative for the current situation in labs of academic institutions. The scenario of the proposed solutions would include the client and server-side concerns related to the procedures and processes in the academic labs. This proposed model will adapt Ruby for programming the clients and the server side, SOAP as a message exchange standard that supports the service communication, WSDL as a service interface, and WS-BPEL to define service composition.
Measuring Service Quality of AHBV University Distance Education Program with SERVQUAL Model

The distance education is a system that fullfills the function of education without being in the same place. As of the period of Covid-19 pandemic, the distance education system has become a compulsory practice as an alternative to face-to-face education. One of the most important issue in the distance education is the satisfaction of sevice received. This satisfaction evaluates under the concept of service quality. Parasuraman, Zeithaml ve Berry(PZB) developed the SERVQUAL model in order to measure the difference between the service perceptions and the expected service. In this study the service quality provided by UZEM was evaluated using the SERVQUAL model. According to the results, it is seen that there is satisfaction with the quality of distance education provided with a rate of %76.2. According to SERVQUAL dimensions, tangible features take the first place in terms of satisfaction, and responsiveness, empathy, trust, reliability follows it respectively. Lastly, the relationships between SERVQUAL scores on faculty, gender, duration of being student, internet usage areas and computer usage skills questions asked to students were also examined.
Complex Exponential Modulated Quadrature Filter Bank Design Based on Chaos Game Optimization Algorithm

The design approach presented in this paper uses a new metaheuristic method Chaos Game Optimization (CGO) to design a 2-channel quadrature mirror filter (QMF) banks. For this study, finite impulse response (FIR) low-pass prototype filter coefficients are optimized to minimize the cost function. The cost function is formulated as the sum of four terms: the square sum of the errors between this estimated frequency response and the ideal filter response, passband ripple, stopband ripple, and stopband edge frequency error. These parameters are important components of FIR filter prototype design that are often used alone in many studies. To obtain a QMF bank prototype filter, prototype filter modulated with an appropriate complex exponential signal. The produced design results of the proposed method like performance parameters, frequency responses of prototype filters and QMF bank results are presented and compared with earlier reported results. The results show that the presented study has significant improvement in the performance parameters of QMF banks and prototype filter.
Introduction to Causal Inference for Psychologists: Testable and Non-Testable Causal and Statistical Assumptions

The main goal of basic research is to answer causal questions. Generally, only the statistical part of this process tends to proceed in a partially formal way and according to clearly defined rules. At the same time, the causal relations are often treated informally or implicitly in a way that is prone to difficult-to-detect errors. This introduction aims to show psychology researchers some of the great benefits of approaching causal issues using a formal theory of causal inference. In this part, I discuss the non-obvious status and role of causal and statistical assumptions in causal inference. After covering, in a simple setting, the general shape of inference from causal assumptions, statistical assumptions, and data to causal effects, I outline, from a contemporary perspective, the limits of applicability of the general linear model. Then, I introduce the formal part of Pearl’s theory that relies on graphs. Using these tools, I show how one can analyze and interpret the results of an experiment on short-term memory search, and I discuss the back-door and front-door adjustments. To present the mathematical part of the theory in an accessible way without overly simplifying it, I illustrate some issues by using simulations written in R.
Reliability and Performance Evaluation of Two-input Machine Learning Systems

The multiple-input machine learning system (MLS) is a system architecture exploiting data diversity to improve the output reliability of the system by comparing prediction results on multiple input data. While the output reliability is enhanced by redundancy, the architecture imposes additional costs and non-negligible processing overheads. The performance of multiple-input MLSs has been theoretically investigated in the previous study using queueing analysis. However, it is little known how real MLSs are impacted by the multiple predictions and comparison processes needed in the architecture. In this paper, we implement two-input MLSs in two different configurations, a parallel type architecture and a shared type architecture, and evaluate the reliability, performance, and energy consumption of the system by experiments. Our empirical results unveil several advantages of the shared type architecture that can suppress the increases in response time and energy consumption by using a shared machine learning module for predictions of two inputs. We also compare the results of the performance simulation of two-input MLS with the empirical results. While we confirm the effectiveness of the simulation, we also find some gaps in the real observations. For example, we observe that the inference time distribution fits well in the log-normal distribution rather than the exponential distribution assumed in the simulation. Our findings could be useful for developing performance models for multiple-input MLSs.
MobileNet-DeepLabV3+ based Robot Passable Path Segmentation and Navigation Line Extraction

Traditional vision-based navigation methods for mobile robot can only be applied to some specific simple scenes due to the limitations of complex road conditions and light variations. However, the research achievements of deep learning and the substantial improvement in computer data processing performance have made it practical and applicable to guide robots in navigation using visual semantic information. For the robot visual semantic navigation problem, a lightweight DeepLabV3+ image semantic segmentation model based on MobileNetV2 is constructed as the backbone network. The images acquired by the robot vision sensor can be sensed and segmented into targets and feasible paths within the scene. Navigation lines for navigable paths can be established using the obtained feasible areas. In this way, the robot's motion decisions can be guided. Therefore, the mobile robot is capable of pure vision-based navigation. The segmentation algorithm is validated using the CamVid dataset and the constructed experimental environment dataset with mPA 82.73 and mIoU 71.8, and the navigation line can be generated according to the drivable path, which guides the robot's navigation.
Fake Review Detection using Machine Learning

Online reviews have become increasingly important in the world of e-commerce, serving as a powerful tool to establish a business's reputation and attract new customers. However, the rise of fake reviews has become a growing concern as they can skew the reputation of a business and deceive potential customers. As a result, detecting fake reviews has become a key area of research in recent years.
Minimum-cost aggregation of quantum repeaters

A quantum internet holds promise for accomplishing distributed quantum sensing and large-scale quantum computer networks, as well as quantum communication among arbitrary clients all over the globe. The main building block is efficient distribution of entanglement over a quantum network. This could be achieved by aggregating quantum repeater protocols. However, the existing protocol requires point-to-point entanglement generation not only to suppress the error, depending on the size of the whole network, but also to be run more than necessary. Here we present an aggregated quantum repeater protocol which works with minimum cost. We also introduce the concept of concatenation of it to achieve arbitrary long-distance communication with fixed error over the network, independently of its size.
Optimation of Design Cable Routing in Onshore Wind Farms Using K-Means Clustering Considering Restricted Area

The Indonesian government has committed to reducing the use of fossil fuels. Renewable energy sources (RES), especially windfarm is an alternative to support the government's commitment. However, replacing one conventional generator requires several wind turbines (WT). In constructing wind farms, it is necessary to design optimal cable routes to connect each WT. In this research, restricted areas were added into consideration to obtain the optimal design. This study aims to develop optimal cable routes in wind farm collector lines by minimizing the distance of cable and obtaining the lowest investment costs. The method used in this research is the minimum spanning tree and K-means clustering. The most optimal number of clusters is used as a consideration to obtain the lowest cable length and size. The results of this study obtained a cable routing model considering the selection number of cluster by reducing the cable length in the collecting system by 9.1 % and 14.1%. Meanwhile, considering restricted area increased the cable length by 1.89%.
Advancing Bug Detection in Solidity Smart Contracts with the Proficiency of Deep Learning

Smart contracts have the potential to revolutionize many sectors by automating difficult procedures and removing the need for middlemen. Smart contracts are self-executing contracts in which the contents of the agreement between the buyer and seller are directly encoded into lines of code. Nevertheless, because smart contracts are immutable, vulnerabilities cannot be easily rectified after they are implemented. For this reason, it is essential to identify and eliminate vulnerabilities before implementation. The Ethereum Blockchain is the primary home of such Contracts which are written in the full-fledged programming language-Solidity. The process of finding these vulnerabilities before deployment is known as Smart Contract Auditing. We propose this new scalable framework of Smart Contract Auditing which promises accuracy and dependability using Deep Learning approaches that can be leveraged for large scale auditing.
State of Art of School Education in Rural Areas of Yavatmal District in the State of Maharashtra in India Based on a Real Survey

The paper aims to present the real current situation of the state of education being provided by various schools in rural areas of the central Indian district of Yavatmal in the state of Maharashtra situated in India. Also, the paper is an attempt to analyze the data using simple analytical tools from an artificial intelligence perspective to predict various parameters indicating the future shape and direction of education is going to in these rural parts of mainland India. The study is based on real survey data collected by visiting numerous schools after receiving written permission from the Block Development Officer of Tehsil Yavatmal. The initial emphasis was on girl education but has been generalized to boys as well because of the coeducation system. The process involved talks on the state of the art of education and collection of data from respective heads of the school followed by interviews with schoolteachers, nonteaching staff, and students. The study is represented in the form of graphs, inferences, and observations on the complicated way ahead, for education to reach these deprived large chunks of people, who think that their future is their children and education is the only key responsible for new light to come to their lives. The paper includes the developmental stages Indian education passed through from pre-independence to recent times.