Reviewerly/exHarmony huggingface dataset:
Application of Random Forest Classifier Algorithm in Indonesian Sign Language System (Sibi) Detection System

Sign language is a language that prioritizes body movements and facial expressions as symbols to communicate with each other. Deaf and speech-impaired groups are the main users of sign language. One type of sign language in Indonesia is SIBI (Indonesian Sign Language System). SIBI (Indonesian Sign Language System) is a form of spoken language that is converted into sign language. Sign language is not only used as a means of communication and interaction between deaf and mute people, but also with normal people. However, until now there is still a communication gap between people who are deaf or mute and normal people. Then made a system design that can detect the sign language symbol SIBI (Indonesian Sign Language System). This system is made using the Random Forest Classifier algorithm with the help of MediaPipe Holistic and OpenCV and is made using the Python programming language. In this study, a dataset was created which was limited to 10 (ten) classes of symbols representing words in the SIBI (Indonesian Sign System) with a total of 8734 data lines which were then pre-processed by dividing the dataset into 70% training data and 30% test data. This study contains stages such as making detection, creating datasets, training classification models, and testing. The test is carried out by calculating the accuracy using the Confusion Matrix and then getting the Accuracy rate of 98.6%, Precision of 98.6%, and Recall of 98.66%. With the creation of the SIBI (Indonesian Language Sign System) detection system, it is hoped that it can reduce the gap between people who are deaf or speech impaired and normal people in communicating. Contribute to knowledge about symbol detection in SIBI (Indonesian Sign System) using the Random Forest Classifier algorithm as well as MediaPipe Holistic and OpenCV. As well as preserving and popularizing SIBI (Indonesian Sign System) as a sign language in Indonesia.
Application Designer For The Employee’s Payroll System At PT Immortal Cosmedika Indonesia

Payroll is considered a structure that plays an important role in various sectors with relevant data that it contributes. Meanwhile, the payroll system simplifies the process of collecting payroll data for employees. Currently, there are many applications that are being developed to help facilitate the calculation of employee payroll. Payroll applications make it easy to store and find the data needed. PT Immortal Cosmedika Indonesia has several problems, namely, the process of collecting employee data every month is still recorded in a special book and the submission of conventional payroll reports. The purpose of this study is to help the finance department of PT Immortal Cosmedika Indonesia reduce registration and payroll errors. This research uses the Research and Development (R&D) method with a data collection method which includes observation and interviews. This application was developed using Java Netbeans 8.2 and MySQL software as its database. The result of this research is that this application can be used to help facilitate and accelerate the work of the finance department of PT Immortal Cosmedika Indonesia in terms of employee data processing, employee salary processing, employee bonus processing and providing salary slips to employees without using paper as a printed medium. And make the stored reports in good condition and provide results quickly and accurately.
Application Of The Finite State Machine Algorithm On Android Based "Si Jampang" Game

The development of technology today is much faster than in previous years, the transformation of past technology into technology that is easier and faster, especially games. Game is a means of entertainment with the aim of having fun and filling spare time. Games can be a unique learning process for the community, because they will not only gain knowledge about folklore but they will also feel entertained. By making this game, it is hoped that it can help educate children to get to know and increase their knowledge about Indonesian folklore. Aside from being an entertainment medium to relieve fatigue or fill spare time, games can also be used as an attractive delivery medium for the younger generation, especially young people. This game is a door for the younger generation, especially young people, to get to know the character of warriors in Indonesia. The design of this android game entitled Si Jampang was made to provide an introduction to the character of Si Jampang and can provide entertainment to anyone who plays it. The development of foreign media and culture that has spread widely, it is feared that if the Si Jampang character is not maintained, then this one character will be forgotten. It is very unfortunate if the character of Si Jampang is swallowed up by the times, so precautions must be taken so that the character of Si Jampang is not completely forgotten. Namely by using the media game. For this reason, this android game was created as a problem solution for the author to be a deterrent so that this problem does not actually happen, but also can provide entertainment to users, so that they are interested in playing this android game. This game is a 2D game based on android. This game will be implemented by artificial intelligence using the Finite State Machine method. The method will regulate the behavior of the object when a change in the state or condition of the game occurs
Development Of Business Strategy Through Business Model Canvas And Marketing Strategy Of CV Sari Bumi Sakti Through Website

One of the promotion and marketing media that is currently developing is the website. The website is used to introduce what products are being sold. The website is also a means of communication between sellers and buyers. CV. Sari Bumi Sakti, which is engaged in producing therapeutic oils, uses offline sales by word of mouth and around the environment, so not many are familiar with therapeutic oils. Another problem is when data storage is still manual by writing sales results in books and staff taking turns so that when printing reports it confuses CV owners and takes a long time. Development of business strategy through the Business Model Canvas and CV Sari Bumi Sakti's marketing strategy through the website. The right solution is to compile a Business Model Canvas (BMC) to analyze each block in the BMC so that the problems and shortcomings of the running system are known that must be met in order to compete in the market. Marketing strategy development that has been carried out using social media as sales media is WhatsApp and Instagram. The purpose of this research is to make it easier for the owner to view sales reports, effective sales and sales targets. For this reason, an e-commerce website is designed that can promote therapeutic oil products and an e-commerce-based sales website that can store sales results and then facilitate online sales so that they achieve targets and print sales reports.
Application Of REST API Method For Internship Student Presence At PT. Menara Indonesia

The development of computer and telecommunications technology at this time has progressed very rapidly and has become a necessity in the scope of individuals and organizations. The presence process is one of the most important things in an agency's scope, especially in agencies that have a high interest in attendance. One of them is an institution that is engaged in the education center. Where student attendance is very important to be recorded in order to be reviewed at a certain period and determine the considerations according to the interests of the agency. Attendance records are usually in the form of signed paper, ID card machines, biometric machines and fingerprints. Over time, the weaknesses that occur from these attendance tools are found, such as queues that can disrupt the attendance process which affects time, fraudulent attendance that is easily manipulated, and documents that can be lost. This study aims to create a presence application using the REST API method. This study uses geolocation technology for the position of the presence location and geocoding to change the coordinates into addresses. Based on the results of web service testing, website and mobile applications can run well as expected, making it easier to collect data related to attendance in order to minimize attendance file loss, fraud and queues during attendance. Using the firebase token as authentication can make the application more secure because the application cannot be accessed if it does not use a token.
Sentiment Analysis Of Mental Health Using K-Nearest Neighbors On Social Media Twitter

Mental health issues are still significant health problems in the modern world. Poor understanding, stigma, and low mental health awareness contribute to efforts to educate people about mental health. The issue of mental health is widely discussed on social media, one of which is Twitter. So it is necessary to analyze sentiment on mental health issues on Twitter. The dataset in this study uses community reviews on May 16, 2022, with the search word "Mental Health." The research method used in this study has several stages, such as processing data using the K-Nearest Neighbors algorithm by comparing the Support Vector Machine classification algorithm and Decision Tree Processing research data using Rapid Miner tools. The conclusion of this study is, based on experimental results with a dataset of 639 positive and 193 negative sentiment reviews. The results of modeling processing using the K-Nearest Neighbors algorithm obtained the best results when using the split data method 70:30 with k value at number 5, producing precision of 60.87% and recall of 44.03%, respectively, and accuracy of 58.39%.
Ethical Behaviour with Avoiding Text Mining in Digital Education

Behavioural psychology is to connect our minds and activities. Our intentions and actions must be such that they do not affect others. Education is changing to digital education so we force to act with good behaviour. Nowadays, text mining is to be challenged for educationists. This paper addresses the ethical behaviour of avoiding text mining in digital education in the twenty-first century such as have explained how to act with ethical behaviour in others’ text data in the current situation. This article advises following ethical behaviour in an educational text message, information, materials, etc. Further, this article explains what text mining is and how to use it with ethical behaviour. We will hope that text mining protection will get to everyone in future. Beginning with an overview of text data mining, this paper concludes with how to play with good behaviour.
FAKTOR DETERMINAN HASIL PEMBELAJARAN DARING MAHASISWA: PERAN MOTIVASI INTRINSIK, MOTIVASI EKSTRINSIK, DAN REGULASI DIRI

Student motivation and self-regulation are critical for optimizing online learning outcomes. This study aims to determine the effect of intrinsic motivation, extrinsic motivation, and self-regulation on students' online learning outcomes. This research design is comparative causal research using a quantitative approach. The population in this study was 3,414 students with a sample of 358 students. Data collection techniques and instruments used questionnaires. The validity of the instrument was proved by exploratory factor analysis, while the reliability estimated by using the Alpha formula. Multiple regression analysis was performed to test the research hypothesis. The results showed a positive and significant effect of intrinsic motivation, extrinsic motivation, and self-regulation on students' online learning outcomes. To get the most out of online learning, every student must improve their learning motivation and self-regulation skills.
THE SIGNIFICANCE OF TEACHERS’ PSYCHOLOGICAL READINESS FOR INNOVATIVE CLASSROOM ACTIVITIES AND ITS SOCIO PSYCHOLOGICAL BACKGROUND

The article is devoted to the consideration of theoretical aspects of studying the psychological readiness of teachers for innovative activities. Psychological and pedagogical studies devoted to the study of this phenomenon are analyzed. An attempt has been made to identify the structure of the teacher's psychological readiness for innovative activity, which will make it possible to determine and develop psychological and pedagogical technologies for its formation among teachers. The results of scientific research on the topical problem of the development of innovative readiness in the conditions of the socio-psychological climate of teaching staff of higher educational institutions are touched upon. In a situation of high uncertainty in the system of higher professional education, the problem of the psychological readiness of a teacher in the context of optimizing the socio-psychological climate of teaching staff of universities is of particular importance and relevance, since it is the main and necessary factor in the development of the innovative potential of modern educational institutions.
Efektivitas Metode Role Playing Terhadap Peningkatan Percaya Diri Siswa pada Pembelajaran IPS Kelas IV

This research is quantitative research with experimental research methods. This study is focused on knowing the effectiveness of the use of the Role Playing learning method in increasing the confidence of class VI students in social studies learning. The problem behind this research is that in the implementation of learning the teacher still uses conventional learning methods and not only that, actually the teacher has also used various learning models such as discussion models. However, in practice, the teacher does not follow the procedure which makes it look like a normaldiscussion. Thus, the lack of interaction between teachers and students results in students becoming bored and not understanding the material being taught. The subjects in this study were class VI A and VI B. The instrument used in this study was a questionnaire distributed during the posttest and pretest, which consisted of 20 statements. If seen from the results of the t-test calculation with asignificant value is 0.000 &lt;0.05, then H0 is rejected and Ha is accepted. So it can be concluded that there is a difference between the experimental pretest and posttest experimental learning outcomes, the researcher concludes that the role-playing learning method is effective in increasing students' self-confidence in social studies learning.
Linkage Analysis Between Bitcoin and Nasdaq Index Based on ARIMAX Model

Bitcoin is currently the most widely used encryption currency in the world, and the Nasdaq Index, as the world's first stock market to use electronic trading, has a certain impact on the price of Bitcoin.Based on the Bitcoin closing price and Nasdaq index data from January 2020 to May 2022, this paper predicts the price of Bitcoin by using ARIMA and ARIMAX models respectively.The linkage was confirmed by the correlation test, and the fitting and prediction effect of the ARIMAX model with the Nasdaq index as the input variable were better than the ARIMA model.
Course Selection Recommendation Based on Hybrid Recommendation Algorithms

In the era of national 'double first-class' and 'high-level' university construction, the course selection has become an important part of the curriculum system of many colleges and universities in China.Due to the shortcomings of the traditional course selection method, the need for a machine learning-based course selection recommendation system has become more and more urgent.The focus of this paper is to apply a hybrid recommendation algorithm to a course selection system for university students to achieve intelligent recommendations through a correlation between students and students and between students and courses.The experimental results show that the hybrid recommendation algorithm is very good at recommending courses for students in the university course selection recommendation system, and the recommended courses have good accuracy and reasonableness.
Analysis on the Benefits and Reasons Why Short Sale Should Not Be Prohibited

Many enterprises, especially those in China, lack systematic knowledge and understanding of the shorting mechanism.In China's A-share market, due to the long-term lack of short-selling mechanism and the habit of traditional ways of thinking which is largely limited to long-selling, most of these enterprises fail to pay sufficient attention to the possible short-selling risks.Under the inherent cognitive and thinking framework, they fail to form a systematic understanding of the short sale and its possible impact.More importantly, previous studies have investigated the role each company or institution plays in a shorting process, however, very few of them lay emphasis on the value and positive impacts provided by the short sale as well as why it is necessary to exist.Therefore, the purpose of this paper is to demonstrate shorting should not be prohibited.The author studies the case of Muddy Waters shorting Luckin Coffee to analyze the causes of the incident and its impact on the capital market.Then, the author discusses the possible benefits of shorting of the capital market and how the regulatory system regarding this can be improved in the future.This paper concludes that short-selling should not be prohibited because of its benefits in monitoring companies, optimizing resource allocation, improving information timeliness, improving market liquidity and so on.
“5G + VR” Technology Enables the Construction of Smart Classrooms in Universities

In recent years, with the acceleration of the informatization process of higher education in China, the construction of smart classrooms has become a research hotspot of current higher education.At present, the functions of smart classrooms in Colleges and universities are gradually improving, but the user experience in actual operation still needs to be improved.The rapid development of "5g + VR" technology has brought new opportunities to the construction of smart classrooms in Colleges and universities.It is very necessary and feasible to introduce it into the construction of smart classrooms in Colleges and universities, which is conducive to the development of educational informatization in Colleges and universities.
Analysis of the Impact of Investment Banks on US Economic Growth

Investment banks are an important part of the capital market.They have more funds than retail investors and are more experienced in long-term investment than traditional commercial banks.However, the improper operation of investment banks in the capital market also makes the whole market difficult to operate stably, and even brings destructive harm.Therefore, this paper will be combined with the history of the economic development of the United States, detailed description of the role of investment banks, and its improper operation will cause great harm.It is found that investment banks play a unique role in resource allocation, especially in supporting the development of high and new technologies whose prospects are not yet clear enough.The means of resource allocation is mainly through the securities market and the fund market.But investment banks may also lead to unmanageable financial innovation, weaken the national economy and spread to global markets.
$\rm A^2Q$: Aggregation-Aware Quantization for Graph Neural Networks

As graph data size increases, the vast latency and memory consumption during inference pose a significant challenge to the real-world deployment of Graph Neural Networks (GNNs). While quantization is a powerful approach to reducing GNNs complexity, most previous works on GNNs quantization fail to exploit the unique characteristics of GNNs, suffering from severe accuracy degradation. Through an in-depth analysis of the topology of GNNs, we observe that the topology of the graph leads to significant differences between nodes, and most of the nodes in a graph appear to have a small aggregation value. Motivated by this, in this paper, we propose the Aggregation-Aware mixed-precision Quantization ($\rm A^2Q$) for GNNs, where an appropriate bitwidth is automatically learned and assigned to each node in the graph. To mitigate the vanishing gradient problem caused by sparse connections between nodes, we propose a Local Gradient method to serve the quantization error of the node features as the supervision during training. We also develop a Nearest Neighbor Strategy to deal with the generalization on unseen graphs. Extensive experiments on eight public node-level and graph-level datasets demonstrate the generality and robustness of our proposed method. Compared to the FP32 models, our method can achieve up to a 18.6x (i.e., 1.70bit) compression ratio with negligible accuracy degradation. Morever, compared to the state-of-the-art quantization method, our method can achieve up to 11.4\% and 9.5\% accuracy improvements on the node-level and graph-level tasks, respectively, and up to 2x speedup on a dedicated hardware accelerator.
Applying K-Means Algorithm to Students’ Online Learning Data Mining: From Perspective of “1+X” BIM Vocational Skill Level System Reform

Currently, vocational skills training is getting more and more attention.China is in full swing with the "1+X" BIM vocational skills level system reform.However, there is little research on student learning assessment in the context of this reform.To address these issues and gain practical insights into student learning analysis in the context of the "1+X" BIM vocational skills leveling system reform, this paper first collects an online learning dataset of vocational skills levels from a specific university in China.Second, a clustering algorithm called K-Means was used to evaluate the student learning analysis in the context of the "1+X" BIM vocational skill level system reform.Based on the obtained online learning data, we found that the optimal number of clusters was 3 (silhouette coefficient of 0.54).This led to 3 levels of student online learning evaluation: excellent (23.33%), good (53.67%) and fair (23%).Based on these results, we further propose corresponding policy recommendations.The results of this paper provide meaningful practical insights into the national policy and government strategy for reforming the "1+X" BIM vocational skill level system.
Determinants of Knowledge Worker Performance in Public Sector: A Conceptual Framework

Malaysian government has given a very high importance in developing the knowledge and skills among public service officers who are knowledge workers since human capital has been the key towards high performance achievement.However, there are many issues on unsatisfactory performance in public sector which were flagged by numerous audit reports and complaints received by Public Complaints Bureau.This paper fills the gap by examining the comprehensive literature in order to understand the relationship between knowledge productivity and knowledge worker performance.The aim of this paper is to identify knowledge productivity practices contributing to knowledge worker performance in public sector and to develop a conceptual framework supporting their relationship.The literatures reveals that there is a positive relationship between job related factors, human related factors, organizational commitment and knowledge worker performance.If empirically supported, this conceptual framework offers a new perspective on understanding knowledge productivity, organizational commitment and knowledge worker performance.This study also assists federal government to focus on factors related to knowledge productivity in order to further improve knowledge worker performance in public sector.