Reviewerly/exHarmony huggingface dataset:
OPTIMASI PRODUKSI SEPATU NIKE PADA PT PRATAMA ABADI INDUSTRI DENGAN MENGGUNAKAN METODE PROGRAM DINAMIK

This considers points to discover out how to optimize Nike shoe items at PT Pratama Abadi. The strategy utilized in analyzing the is the recursive energetic programming strategy. To anticipate the sum of generation that must be delivered within the future utilizing straight relapse, at that point to calculate generation costs that must be least and benefits in agreement with the schedulling energetic programming strategy is utilized. From the figure comes about on Nike shoe generation information January-December 2021, the show for the coming period is as takes after:Ŷ = 44.150 + 332 X. So the Nike shoe generation plan for the another 12 periods Jnauary- december 2021 is (44.931, 45.267, 45.602, 45.936, 46.272, 46.607, 46.941, 47.277, 47.621, 47.946, 48.282, 48.616, pairs of shoes). To play down generation costs, the energetic programming strategy is utilized to get a least add up to taken a toll of Rp. 1.347.093.600,
Testing, Making Sure It Runs

When your code is checked in, the last thing you want is to find out hours, days, or months later that some change had an unintended effect that will cause you mountains of headaches as you are struggling to release; there are ways to counter these, but all will add additional effort to your production line; there is no such thing as a free lunch.
An Analysis of Piano Teaching Reform and Improvement of Teaching System in Universities

In recent years, with the deepening of education reform, people pay more and more attention to the comprehensive quality cultivation of students, among which, the music education piano class in colleges and universities is also in the continuous development of innovation. The teaching of piano lessons has gradually incorporated new goals and development connotations, and with the continuous promotion of the curriculum, piano-related knowledge and professional skills have become less difficult than before, and in the process of teaching, more and more attention is paid to the humanistic goals of musical connotations and stimulating students' emotional resonance. In this paper, we analyze the current situation of piano teaching in general colleges and universities and propose corresponding measures for its development reform and innovation.
Shuffle Graph Convolutional Network for Skeleton-Based Action Recognition

A shuffle graph convolutional network (Shuffle-GCN) is proposed to recognize human action by analyzing skeleton data. It uses channel split and channel shuffle operations to process multi-feature channels of skeleton data, which reduces the computational cost of graph convolution operation. Compared with the classical two-stream adaptive graph convolutional network model, the proposed method achieves a higher precision with 1/3 of the floating-point operations (FLOPs). Even more, a channel-level topology modeling method is designed to extract more motion information of human skeleton by learning the graph topology from different channels dynamically. The performance of Shuffle-GCN is tested under 56,880 action clips from the NTU RGB+D dataset with the accuracy 96.0% and the computational complexity 12.8 GFLOPs. The proposed method offers feasible solutions for developing practical applications of action recognition.
La rappresentazione dei significati preposizionali locativi nelle grammatiche italiane: una valutazione dalla prospettiva delle grammaticografia croata

The starting point of this study stems from the two assumptions that are commonly accepted and, to a great extent, proven within cognitive linguistics: 1. members of the category of prepositions are bearers of autonomous meanings, and 2. prepositional meanings are conditioned significantly by the concepts pertinent to the domain of space. In the light of the theoretical model of the semantic representation of prepositions previously developed by the author (2022) and his reflections on the nature of prepositional meaning in general, this article presents the results of an analysis conducted on a corpus of 13 Italian grammars published in the last 70 years. Specifically, the representations of spatial meanings of Italian prepositions as proposed by grammarians are examined. Since a clear prevalence of approaches characterised by the use of the terms of logical analysis to provide the semantic description of a preposition is identified, the author compares this trend with some models used within Croatian grammaticography. In conclusion, the author indicates some potential alternative evolutionary paths of Italian grammaticography that might lead it to a higher level of cognitive plausibility of representation of the semantic structure of a preposition.
Current Control System for the Peltier Element in a Thermoelectric Cooling Device for Cooling the Human Head

. Thermoelectric semiconductor devices have been widely introduced in various sectors of the national economy. Methods of local thermal exposure are widely used in medical practice in the treatment and prevention of various diseases, such as mechanical injuries and diseases of joints and muscles, pain in the gastrointestinal tract, cholelithiasis and kidney stone disease, neuroses, arthrosis and arthritis, pharyngitis, tonsillitis, chronic fatigue, etc. At the same time, the thermal effect has a significant impact on the energy balance of the body. Under the influence of heat, blood and lymphatic vessels expand, improving blood circulation in many internal organs. The presence of such a device in medicine requires the creation of thermostats capable of influencing a local biophysical object using the Peltier element. This article discusses the development of a mathematical model for human head cooling devices using Peltier elements
Normative Influence of Social Media on Adolescents' Actions, Attitudes, and Perceptions Toward Non-Normative Behavior in South Korea

This study examines the formation of adolescents' norms toward non-normative behaviors using a two-wave survey of middle school students in South Korea over a one-year period. The study focuses on four modes of non-normative behavior, namely, verbal aggression, Internet slang, digital piracy, and self-exposure, and investigates the impact of exposure to descriptive and injunctive norms on social media on adolescents' actions, attitudes, and perceptions of non-normative behavior. The results reveal that exposure to injunctive norms on social media is positively associated with adolescents' engagement in deterring non-normative behavior. This suggests that when adolescents witness others taking action against non-normative behavior on social media, they are more likely to engage in similar actions to prevent such behavior. However, the effect of exposure to descriptive norms on actions against non-normative behavior is not supported in this study. The study provides insights into the influence of personal relationships and social networks on young people's perceptions of social media use in South Korea, with important implications for developing interventions to promote responsible and respectful digital behavior among young people.
A Comparative Study of Student Satisfaction Levels on Online Learning Using K-NN and Naïve Bayes

The outbreak of the Covid-19 pandemic in Indonesia led to restrictions on human social activities to minimize transmission. Teaching-learning is also affected when students must stay home and follow distance learning based on Government Regulation Number 21 of 2020, the Large-Scale Social Restrictions (PSBB) policy, issued on March 31, 2020. This has led to the emergence of learning support applications such as Zoom, Google Classroom, Google Meet, E-Learning, and many more. However, this new learning culture requires adaptation for effective implementation. During the adaptation process, researchers want to measure the level of student satisfaction and find out the best algorithm for classifying the level of student satisfaction. This measurement uses two data mining algorithms, K-Nearest Neighbour (K-NN) and Naïve Bayes, and the Islamic State University of Sultan Syarif Kasim Riau students as the research object. Different algorithms have varying strengths and weaknesses in handling specific data types and classification tasks. By comparing both algorithms, we can assess their generalization capabilities. A model that performs well on training data but fails to generalize to unseen data may not be as effective as a more robust algorithm that exhibits better generalization performance. K-NN classification with a value of k = 3 gets good results. Based on the study results, the conclusion is that K-NN is more optimal in classifying student satisfaction levels than Naïve Bayes with an accuracy ratio of 85% : 80%, precision of 85% : 84%, and recall of 99% : 93%.
Enhancing Unbalanced Data Classification with Cross-Validation and Extreme Gradient Boosting: A Comprehensive Analysis

As a novel and efficient ensemble learning algorithm, XGBoost has been widely applied due to its multiple advantages, but its classification effect in cases of data imbalance is often not ideal. Aiming at this problem, efforts were made to optimize XGBoost and the Cross Validation algorithm. The main idea is to combine cross validation and XGBoost on unbalanced data for data processing, and then get the final model based on XGBoost through training. At the same time, optimal parameters are searched and adjusted automatically through optimization algorithms to realize more accurate classification predictions. In the testing phase, the area under the curve (AUC) is used as an evaluation indicator to compare and analyze the classification performance of various sampling methods and algorithm models. The results of the model analysis using AUC are expected to verify the feasibility and effectiveness of the proposed algorithm.
The Effectiveness Of OpenCV Based Face Detection In Low-Light Environments

A face detection experiment based on OpenCV is a technology used to identify and find human faces in digital images or videos. This technology uses algorithms and image processing techniques to analyze the pixels in an image or video frame and determine if they contain a human face. The aim of this research is to determine the effectiveness of OpenCV-based face detection using the Viola-Jones algorithm with low-intensity brightness environmental conditions. The research was conducted with light intensity levels of 10 Lux, 30 Lux, and 50 Lux and was carried out using the camera on the ASUS TUF DASH 15 FX517ZC laptop. Data in evaluation using evaluation metrics containing the formula recall, precision, F-Score, and accuracy. The results of the study showed that experiments with higher light intensities up to 50 Lux showed the best level of efficiency according to the accuracy values (99.2%), f-score(0.996), and recall (0.993), so the system is best done with a brightness of 50 Lux. Face detection is affected by the camera that used, in addition, rotation of face is important for the system to detect faces, despite video recording in high light intensity environments
Design and Build a Network Security System Using Port Knocking, DMZ and IDS Techniques at SMA Negeri 1 Warungkiara

The network security system of SMA Negeri 1 Warungkiara needs improvement to be more effective in safeguarding data integrity and confidentiality. Currently, it only relies on a filter rule security, which is not robust enough to fend off hacker attacks. Therefore, advanced security techniques such as Port Knocking, DMZ, and IDS are required. Port Knocking serves as additional authentication by accessing ports in a specific sequence to prevent unauthorized access. DMZ is used to isolate the internal network from direct attacks. IDS is used to detect suspicious activities and alert the administrator. The system was tested against various attacks such as port scanning, DDoS, and Ping of Death, and it was proven to reduce server resource usage from 34% to 6%. The test results show that this security system provides strong protection and preserves the integrity and confidentiality of data within the school network.
Validation of the Haar Cascade Classification Method in Face Detection

As technology develops, faces are used as a tool for human interaction with computers for security systems. Face detection technology can also provide convenience to users in various fields, especially security systems. However, there are problems regarding accuracy, complexity in the face recognition process so that many methods have been developed to increase the accuracy and complexity of the face detection process. This study aims to validate the haar cascade classification method in detecting faces from various shooting angles, with a distance of one meter from the camera and the respondent is free to make movements as well as various facial expressions and various lighting conditions that are different for each respondent. The results of this study found that the haar cascade classification method showed that the higher the epoch value, the lower the mean square error (MSE). This study also found that the haar cascade classification method has good accuracy for detecting faces from various angles, different lighting and different facial expressions with a maximum distance of one meter from the camera. This study provides recommendations for making face recognition applications using the haar cascade classification method because it can be used well for lighting effects, facial expressions and a maximum shooting distance of one meter.
Web-Based Digital Library Information System in Kotaraja Village

Libraries as managers of information and knowledge must be able to use and utilize information technology optimally to meet various needs. However, the library in Kotarajara village has several obstacles including difficulties in finding the desired book, frequent loss of books due to data recording loan transactions are not managed properly, and the management of borrowing and returning books is still done manually, which is still done by writing on the book. This research aims to produce a web-based Kotaraja village library information system, and find out the feasibility and quality of the library information system. The model used in this study is Research and Development with the Waterfall method. Information system testing in this study uses the ISO 25010 standard which consists of 3 aspects, namely functionality, usability, and efficiency. The subjects in this study amounted to 10 people. Data collection techniques use questionnaires, while data analysis uses quantitative descriptive. The results showed that the information system developed based on the feasibility results of material experts amounted to 88.9% of the very feasible category, the results of the IT expert feasibility test obtained 82.3% of the very feasible category, and the results of user response of 81.2% of the very good category and the efficiency aspect of 91% grade B. Thus, it can be concluded that this application is feasible to be used as a web-based Kotaraja village library information system.
Comparative Analysis of State Universities on Website Performance in Aceh Using the PIECES Method

Technological developments have had a rapid impact on the CIVITAS Academic environment, especially in Aceh. The website has become a major requirement for state universities (PTN) as a fast, actual and reliable information distribution medium in supporting lecture activities in the Digital Era 4.0. The purpose of this study was to obtain results from the PIECES method test on the website in terms of its effectiveness as an information distribution medium. Therefore, the presence of website performance analysis research using the PIECES method is very important in measuring website effectiveness. PIECES uses the variables Performance, Information, Economics, Control, Efficiency, and Service. The importance of this research is to provide information in analyzing the use of websites at universities (PTN) in Aceh, as well as analyzing the strengths and weaknesses of each website. The research step begins with the distribution of questionnaires on the variables Information, Economics, Efficiency, and Service responded to by respondents online. Then perform a website performance analysis using Google Page Speed Insight (GPSI) and GTMetrix online tools. In variable control, use Qualys SSL Lab and SECURi. The results showed USK Information with a value of 4.26, Economic 4.13, Efficiency 4.4, and Service 4.36. UINAR obtained 4.26 in the subject Information, Economic 4.13, Efficiency 4.3, and Service 4.36. UNIMAL obtained Information 4.26, Economic 4.23, Efficiency 4.3, and Service 4.15. UNSAM with the Information subject obtained 4.1, Economic 4.13, Efficiency 4.19 and Service 4.15 and UTU Information subject 4.24, Economic subject 4, Efficiency 4.19 and Service with a value of 4.21. The GPSI and GTMetrix tests showed significant results with the highest score of 97 UNSAM on GPSI. Results from Qualys SSL Lab and SCURi, all websites are safe to access.
Webcam-Based Physical Distancing Prototype to Calculate Real-Time Distance by Applying Euclidean Distance

The Covid-19 virus has spread rapidly in Indonesia in recent years, significantly increasing the number of victims in the community. However, there is a lack of warnings for violators of physical distancing. This study aims to create a system as a solution to overcome the problems of implementing physical distancing protocols. Image capture media in the form of cameras were used to monitor human objects in crowded situations by tracking the movement of objects at regular physical distances. In this study, computer vision, image processing, and pattern recognition were used to construct the distance measurement between humans. Using a webcam by applying the Euclidean Distance and Haar Cascade methods, this system is intended to determine the distance between human-made objects. The results demonstrated that a digital image system employing the Haar Cascade and Eucludien Distance methods could make it easier to control the gathering point in a given area. Researcher has developed a software usage assistance feature for use with this application. Based on the findings of the study, the accuracy of this system was evaluated using 100 trials, with a succes rate of 100% since the system resulted correct notification in all trials. In addition, this digital image system is anticipated to assist developers and the general public in controlling gathering locations that do not adhere to established health protocols, allowing violations of physical separation to recognize their errors when captured on camera immediately.
Implementation of the X-Means Algorithm on Unemployment Data in West Java

The unemployment rate is a serious issue in many countries, including Indonesia, with impacts that encompass psychological pressure, declining living standards, reduced national income, and diminished workforce quality. High unemployment rates can lead to poverty, resource wastage, and have implications for a country's economic growth. Additionally, inadequate workforce quality is a determining factor in unemployment rates. The objective of this study is to classify unemployment data, specifically in West Java Province, using the X-Means algorithm based on educational levels and districts/cities, in order to examine the fluctuations in unemployment. The research findings indicate fluctuations in the number of unemployed individuals in West Java Province from 2011 to 2022. The low unemployment rate in West Java Province experienced a 66.7% increase in 2014-2015, remained stable in 2017-2019, while the high unemployment rate decreased by 80% in 2014-2015, remained stable in 2017-2019, but increased by 20% in 2020-2022. Furthermore, Bogor Regency consistently recorded the highest unemployment rate in each cluster, with a total of 135,000 unemployed individuals in Bogor Regency in 2017-2019, while the education level with the highest unemployment rate was junior high school graduates
Machine Learning Model for Language Classification: Bag-of-words and Multilayer Perceptron

The availability of data today has become a great asset for research that is used for various purposes such as for machine learning. One of the basic machine learning methods for natural language processing is bag-of-words. The problem in this study is the difficulty in classifying texts because texts still have unstructured characteristics, so this study will apply a model to classify the language of texts. Texts will be placed in four categories, English, Indonesian, German and French. Research was conducted using Bag-of-words and Multilayer Perceptron to solve this supervised machine learning problem. The use of Bag-of-words to perform text representation for simple patterns, easy processing and good performance. On the other hand, a multilayer perceptron has the ability to study complex data patterns in the form of images, text or videos. This study will collect data using text mining techniques, namely crawling Twitter social media as many as 4000 data records. This study produces a model with an accuracy of 98 percent with a loss of 0.14 percent which shows good model performance in classifying languages based on text data.
Collaborative Project-Based Learning: An Alternative Program to Accommodate Students’ Active Learning in Speaking Class

This study was motivated by the difficulty of lecturer in inviting and motivating students to be actively involved in English Speaking class, students tend to be passive. There are some factors that might block them from speaking English in class. Many researches revealed that the main problem is psychological factor. Therefore, this study aimed at providing an insight and alternative program of students’ active learning that might be used and implemented by EFL lecturer, especially in English Speaking class. This study used Research and Development (R&amp;D) with ADDIE (analyze, design, develop, implement, and evaluate) design. There were 53 students of higher education involved as research sample. They were selected using total sampling technique. The instrument used in this research were observation sheet and interview. the researchers could find that this collaborative project-based learning approach could facilitate the students to be actively involved in learning as well as give possitive impact to the students’ engagement in learning. They were given space to shout out their ideas, views, and voices comfortably. Students also considered that this approach was not only fun to do but also accustomed them to work together in group to produce something, be responsible, and think critically and creatively in solving the problems.
Evaluasi Penggunaan Sistem Accurate dalam Penyusunan Laporan Keuangan Berdasarkan Standar Akuntansi Keuangan UMKM (Studi Kasus PT Cerita Rasa Kita)

This study aims to evaluate the cycle of financial records at PT. Tell us that we are more accurate in preparing financial reports. Evaluation is done by comparing financial records manually and using an application system. Accounting applications in financial reports play an important role and are very helpful in facilitating the company's operational activities. The application system used in UMKM is the Accurate system. Research conducted at this company using a case study method with qualitative methods. The results of this study indicate that using the Accurate system can make it easier for accounting staff to enter financial data in accordance with UMKM financial reporting standards compared to previously using manual