Reviewerly/exHarmony huggingface dataset:
RANCANG BANGUN APLIKASI MENGENAL JENIS KECERDASAN DAN BAKAT SISWA BERBASIS ANDROID

ABSTRACT The State 17 Junior High School in Bengkulu City is one of the junior high schools in Bengkulu Province, the same as junior high schools in general whose education is taken within 3 years of study, starting from grades VII and IX. This school is located at Wr. Supratman Street, Pematang Governor, Muara Bangkahulu District. The subject of this research is the design of applications to recognize the intelligence and talent of Android-based students on Android devices. While the research subjects were students of class 1X State Junior High School 17 Bengkulu City. State Junior High School 17 Bengkulu City for class 1X consists of 2 classes, with a total of 64 students. The large number of students taken for testing refers to a statement that explains that "at least 20% for the population is considered small". However, the 20% amount is still considered insufficient. So that the taking of the number of students follows the rules set by students, which is between 30-500 students. So that taken half of the total number of 32 students. This application to identify the type of intelligence and talent of students based on Android is an application built using Android Studio with the Java programming language, PHP and MySQL database. This application has 2 different interfaces, for the admin side can access web-based applications on a predetermined web link, while for the user side can access android-based applications that can be installed on each android smartphone. Based on testing using Usability Testing, the results obtained are the level of ease of users to complete basic tasks when the user first sees or deals with the existing system, the level of efficiency of the application according to the purpose of the application and the features contained in the application make it easier for users to run the application, the application is easy to remember, with a colorful menu display and the features in the application make it easier for users to manage or run applications, the security level in the application is quite adequate when installing the application there are some devices that experience errors because they do not support the minimum operating system used, and user satisfaction with the application, satisfied with the information provided and the security provided by the application&#x0D; &#x0D; Keywords: Applications, Types of Intelligence and Talent, Students, Android
Penerapan Algoritma SAW Dalam Menentukan Keputusan Kelulusan Siswa/i SMPN 6 Surade

Abstract-State Junior High School 6 Surade is an educational institution that annually determines graduation where students complete all educational programs that have been followed by students. Determination of the graduation of students in junior high school 6 Surade has problems with the lack of accuracy in student assessments so that the results obtained do not match the predetermined criteria. With these problems, a technological system is designed, namely a decision support system that can provide solutions to problems in determining student graduation. The algorithm used to determine the graduation of students at the 6 Surade junior high school is by using the Simple Additive Weighting method by finding the weighted sum value of the rating value in performance on each alternative on each criterion, so that in this way it is able to produce the best, accurate, and best value. And fast and can make it easier for educational institutions in determining assessment decisions with more accurate and structured results.
Penerapan File Sharing Terpusat Menggunakan Samba Server Pada Kantor Kecamatan Ratu Samban

ABSTRACT One of the file sharing systems is using samba with the Linux Ubuntu server operating system. Samba is a Linux application or tool that can be used to create file sharing. File sharing using samba can be distinguished by access rights based on the account and storage folder. Samba file sharing can be used by many users at once as well as many storage folders. In samba file sharing, you can limit the file extensions that can be stored in the folder, and limit the users who can use the folder. From a series of tests carried out on a file sharing system using samba on a linux ubuntu server it went well, according to the design and configurations applied. Starting from the installation of linux, ubuntu server, and samba, then login to each storage folder, after successfully logging in, new users can access files. Meanwhile, network users who do not have a login account can only access certain folders with read only access rights.&#x0D; Keywords: File Sharing, Linux and Samba
IMPLEMENTASI METODE SMART DALAM SISTEM PENDUKUNG KEPUTUSAN PELANGGARAN TATA TERTIB SISWA

ABSTRACT: SMAN 4 Bengkulu City is a school that has many students in the Bengkulu City environment. SMA Negeri 4 Bengkulu City has several rules and regulations that must be obeyed by all students but not infrequently these rules and regulations are violated by some students. This study aims to design a decision support system for sanctions for violating student rules using the Simple Multi Attributte Rating Technique (SMART) method. The system that will be designed has several weighted assessment and summation criteria for each alternative on each attribute or existing violation criteria. Any violations committed by students can be processed quickly and accurately with predetermined sanctions and actions, have the same calculations between manual calculations and calculations on the system so that they can assist BK teachers in the reporting process to the principal at SMA Negeri 4 Bengkulu City. It is hoped that this application will be able to use this application in determining violations of rules and regulations in Bengkulu, as well as the maintenance of applications that the writer has previously made so that in the future it can be used by SMA Negeri 4 Bengkulu City. &#x0D; Keywords: Decision Support System, SMART, Violation of Rules.
Perancangan Penyimpanan File Berbasis Cloud Di Kantor Desa Klambir Lima Kebun

Data storage that is not centralized and less dynamic in being accessed by village officials, this is a problem when during the COVID-19 pandemic, work is done online. The research utilizes existing technologies such as the Cloud, so there is no need to provide a local server and access it using a public IP. The cloud used for storage will be installed with Linux Ubuntu 20 in it, then the OwnCloud feature will be configured in it, so that important files in the village office will be uploaded via the owncloud application which can be accessed by the public. The next stage is that each village apparatus will be given access rights according to the position in the village office. It is hoped that this research can support efforts to improve information technology in the village.
Sistem Pendukung Keputusan Pemilihan Jurusan Di SMA Muhammadiyah 4 Kota Bengkulu Menggunakan Metode Saw

In choosing a major at Muhammadiyah Public High School (SMA) Bengkulu City, there are several factors to consider. This assessment is carried out in several stages, namely National Examination (UN) scores, Competency Test scores, and Color Blindness Test scores. In this case, the purpose of building a decision support system is to determine student majors according to their abilities using the Simple Additive Weighting (SAW) method. Where the assessment criteria of students are compared with one another so as to produce a decision support system that provides an assessment in the selection of students in choosing majors. The decision support system helps in determining majors, making it easier to make decisions related to the selection of majors by using the Simple Additive Weighting (SAW) method, so that students get majors that match their competencies.&#x0D;
Decision Support System Metode K-Means Clustering Dalam Memprediksi Tingkat Penjualan Pada Store Ryan Mart

Ryan Mart store is one of the stores located in the god's fence that sells grocery, drinks, food, perfume, and electric tools. Where the Ryan Mart store is currently going to make an application in predicting the level of sales where management of the inventory of goods in the Riyan Mart store, all this time is still felt manually, that is, if the inventory runs out, then orders will be made to the supplier of goods in the city of Bengkulu. . In sales, there needs to be an effectiveness in predicting the level of sales of goods at the Riyan Mart store, an application is needed that can help provide the level of daily sales at the Bengkulu City store Riyan Mart, from applications designed using the K-Means Clustering method it will be known what items should be improved in future sales of goods. The K-Means Clustering method can help predict the level of sales at the Ryan Mart store. days, and then the data will be grouped based on 3 (three) clusters, namely Cluster I (Most Interested Items), Cluster II (Items That Are Least Interested), Cluster III (Items Not Interested). In the implementation of the K-Means Clustering algorithm, it is done by grouping data based on sales of goods, where before grouping the data, it will be added automatically to get the results of the number of sales of each item in the next period, which is 1 year. To assist in the implementation of the K-Means Clustering algorithm, a Visual Basic .Net application was created with the SQL Server 2010 data base.
Pengelompokan Barang Menggunakan Metode K-Means Clustering Berdasarkan Hasil Penjualan Di Toko Widya Bengkulu

The Widya shop sells various kinds of hijab products that are tailored to the needs of fashion development. The Widya Bengkulu store also sells various kinds of women's needs such as clothes, accessories, bags, wallets, soft lenses, cosmetics and other fancy items. So far, Widya Store has not used computers as a data processing medium. All processes of selling goods and inventory of goods are still carried out with book records, and do not yet have an application that can help the process of managing the data of these goods. In addition, in managing inventory, Toko Widya only sees stock based on sales results, if the stock on one of the items runs out, an order will be made to the supplier.&#x0D; Implementation of the K-Means Clustering Method in Grouping Goods Based on Sales Results at the Widya Bengkulu Store was made using the Visual Basic .Net programming language and SQL Server 2008 database. In the Grouping of Goods Based on Sales Results at the Widya Bengkulu Store, it will be processed to seek knowledge from chunks of data, namely goods sales data. Cluster I is a Very Selling Item, Cluster II is a Self Selling Item, and Cluster III is a Less Selling Item. Based on the results of the tests that have been carried out, the application of Grouping Goods Based on Sales Results at the Widya Bengkulu Store can provide information on the best-selling items sold at the Widya Store.&#x0D;
Baseball Simulation: How Technology-Mediated Stimuli Affect Telepresence, Pleasure, and Behavioral Intentions

This study aims to identify how sport simulation users perceive the sensory stimuli in a technology-mediated environment and how their stimuli perceptions give rise to behavioral intentions. The samples collected were drawn from 345 simulation users answering self-administered surveys. The structural equation modeling testing found that haptic stimuli greatly impacted telepresence but not pleasure. Interestingly, the aural stimuli’s effect was not significant on telepresence but substantial on pleasure. Visual stimuli had little effect on both telepresence and pleasure. Telepresence had a positive effect on pleasure. Lastly, pleasure positively affected participants’ behavioral intentions.
Artificial intelligence as an authority for testing the inventive step of an invention—a view from Germany

Journal Article Artificial intelligence as an authority for testing the inventive step of an invention—a view from Germany Get access Thomas Heinz Meitinger Thomas Heinz Meitinger Search for other works by this author on: Oxford Academic Google Scholar Journal of Intellectual Property Law & Practice, Volume 18, Issue 7, July 2023, Pages 482–485, https://doi.org/10.1093/jiplp/jpad054 Published: 20 June 2023 Article history Received: 23 March 2023 Editorial decision: 08 May 2023 Accepted: 17 May 2023 Corrected and typeset: 20 June 2023 Published: 20 June 2023
Vocabulary of Hatred in Social Media

The study focuses on Facebook, one of the most popular socialnetworking sites in our time, given its position in the digital world andthe importance of the verbal component in it. The main objective of theresearch is to investigate whether in a corpus of utterances in Italiancoming from two public Facebook groups, the incitement to hatred man-ifests itself through the use of slurs, the choice of which is delimited byprecise criteria. The presence of the selected words is verified throughautomatic searches with the tools available on Facebook. Moreover, theanalysis is aimed at discovering whether slurs always carry their deni-gratory potential, or whether they can also have a non-denigratory use.Some possible extensions of the research will also be defined.
Using Bayesian Neural Networks to Select Features and Compute Credible Intervals for Personalized Survival Prediction

An Individual Survival Distribution (ISD) models a patient's personalized survival probability at all future time points. Previously, ISD models have been shown to produce accurate and personalized survival estimates (for example, time to relapse or to death) in several clinical applications. However, off-the-shelf neural-network-based ISD models are usually opaque models due to their limited support for meaningful feature selection and uncertainty estimation, which hinders their wide clinical adoption. Here, we introduce a Bayesian-neural-network-based ISD (BNN-ISD) model that produces accurate survival estimates but also quantifies the uncertainty in model's parameter estimation, which can be used to (1) rank the importance of the input features to support feature selection and (2) compute credible intervals around ISDs for clinicians to assess the model's confidence in its prediction. Our BNN-ISD model utilized sparsity-inducing priors to learn a sparse set of weights to enable feature selection. We provide empirical evidence, on 2 synthetic and 3 real-world clinical datasets, that BNN-ISD system can effectively select meaningful features and compute trustworthy credible intervals of the survival distribution for each patient. We observed that our approach accurately recovers feature importance in the synthetic datasets and selects meaningful features for the real-world clinical data as well, while also achieving state-of-the-art survival prediction performance. We also show that these credible regions can aid in clinical decision-making by providing a gauge of the uncertainty of the estimated ISD curves.
MUQOBIL ENERGIYA MANBAALARI VA ULARNING EKOLOGIYAGA TA’SIRINING DOLZARB MASALALARI

Energy sources are the driving force behind development. The development of mankind in the last century and a half was based on energy sources. Along with development, as a result of the irrational use of energy resources, mankind has faced many problems that need to be addressed. These problems upset the balance of relations between humanity and ecology
Facial emotion recognition using geometrical features based deep learning techniques

In recent years, intelligent emotion recognition is active research in computer vision to understand the dynamic communication between machines and humans. As a result, automatic emotion recognition allows the machine to assess and acquire the human emotional state to predict the intents based on the facial expression. Researchers mainly focus on speech features and body motions; identifying affect from facial expressions remains a less explored topic. Hence, this paper proposes a novel approach for intelligent facial emotion recognition using optimal geometrical features from facial landmarks using VGG-19s (FCNN). Here, we utilize Haarcascade to detect the subject face and determine the distance and angle measurements. The entire process is to classify the facial expressions based on extracting relevant features with the normalized angle and distance measures. The experimental analysis shows high accuracy on the MUG dataset of 94.22% and 86.45% on GEMEP datasets, respectively.
Automatic classification of company’s document stream: Comparison of two solutions

Documents are essential nowadays and present everywhere. In order to manage the vast amount of documents managed by companies, a first step consists in automatically determining the type of the document (its class). Even if automatic classification has been widely studied in the state of the art, the strongly imbalanced context and industrial constraints bring new challenges which were not studied till now: how to classify as many documents as possible with the highest precision, in an imbalanced context and with some classes missing during training? To this end, this paper proposes to study two different solutions to address these issues. The first is a multimodal neural network reinforced by an attention model and an adapted loss function that is able to classify a great variety of documents. The second is a combination method that uses a cascade of systems to offer a gradual solution for each issue. These two options provide good results as well in ideal context than in imbalanced context. This comparison outlines the limitations and the future challenges.
Digitization of Babcock University Cafeteria Ticket Management System

The existing manual process of ticket distribution in Babcock University Cafeteria has remained largely unchanged since its inception.However, this system has notable drawbacks, including delays in ticket issuance, labor-intensive production processes, vulnerability of paper tickets to misplacement or theft, and other concerns amplified by the growing student population.To address these issues, our team has proposed the development of a digitalized system that automates the ticket management process online.This project focuses on the development process of the system, along with additional details related to its implementation.The primary objective of this project is to create an efficient and time-saving system for managing cafeteria tickets at Babcock University.The proposed solution involves transitioning from paper tickets to digital tickets using QR code technology.An attendant equipped with a QR code scanner device will be responsible for validating each student's digital ticket.The user interface of the system will be developed using the Progressive Web App Environment, which combines the benefits of web and native apps, utilizing the ReactJS framework.Data management will be handled using NodeJS and MongoDB, a real-time updating and secure cloud database.Instead of physically submitting receipts and documents, students will upload them onto the online platform for evaluation and verification by the administration.Additionally, QR codes for each student will be regularly updated to reduce security risks associated with static codes.The implementation of this system will consolidate all necessary functionalities, streamlining the current process and reducing the time required.It will also eliminate the expenses associated with paper tickets and mitigate the risks of ticket loss, theft, or damage.
Effectiveness of the Workshop Project for Developing Cognitive Skills and Improving Daily Life Through Movement

The purpose of this research is to study the effectiveness of the workshop project for developing cognitive skills and improving daily life through movement.In this research, 38 subjects were assessed.The research data was collected from the day of the workshop for a span of two weeks.Three tools were used to collect t he data from the subjects, namely, 1) a satisfaction assessment, 2) an effectiveness assessment, and 3) a daily life application assessment.Descriptive statistics and mean differentiation were used to analyze and evaluate the data.The research mainly shows four significant results.First, from the satisfaction assessment, the subjects responded with the highest level of satisfaction after the workshop.Second, from the effectiveness assessment, the mean value and the standard deviation of the effectiveness after the workshop were 5.25 ± 1.72, resulting in a moderate level.Third, when comparing the pre-test and the post-test of the effectiveness assessment, the mean effectiveness rating was 0.81 higher in the post -test than the pre-test.Lastly, regarding the daily life application assessment, the subjects responded that the workshop was highly applicable.This research is a subsection of the effectiveness of the workshop in developing cognitive skills and improving daily life through movement for the educational officer.
Comparison between Modified Weighted Pareto Distribution and Many other Distributions

In 2020 one of the researchers in this paper, in his first research, tried to find out the Modified Weighted Pareto Distribution of Type I by using the Azzalini method for weighted distributions, which contain three parameters, two of them for scale while the third for shape.This research compared the distribution with two other distributions from the same family; the Standard Pareto Distribution of Type I and the Generalized Pareto Distribution by using the Maximum likelihood estimator which was derived by the researchers for Modified Weighted Pareto Distribution of Type I, then the Mont Carlo method was used–that is one of the simulation manners for generating random samples data in different sizes ( n= 10,30,50), and in different initial values for each Pareto distribution family being used in the research. A comparison was done by using Akaike Information Criteria, Corrected Akaike Information Criteria, and Bayesian Information Criteria
On the Necessity and Ways of Offering Writing and Communication Courses in Applied Undergraduate Programs

In the construction of the teaching system of applied undergraduate programmes, the value of "application" is highlighted, and high-quality talents with strong social adaptability and competitiveness are cultivated, which has certain requirements for the communication, writing, teamwork and innovation abilities of university students.Currently, there are many problems in writing among university students, who do not pay enough attention to writing courses and rely too much on artificial intelligence to write, lacking creative independence.The lack of writing skills also brings with it many problems, as many students find it difficult to write project books and application essays when they enter society, which does not help them to adapt quickly to the workplace.At the same time, communication skills are an important assessment factor for graduates when they first enter the workplace, and many general education courses at this stage neglect the development of communication skills.Therefore, in order to quickly solve the dilemma of the teaching mode of traditional writing courses, Liaoning Institute of Foreign Trade and Economic Cooperation offers the Writing and Communication course, which starts and ends with improving students' writing and communication in the workplace, and is student-centred, helping students to improve their writing and communication in the workplace and develop critical thinking skills through innovative teaching modes and improved assessment and evaluation, which helps to improve students' overall quality and cultivate Application-oriented talents.