Reviewerly/exHarmony huggingface dataset:
Development of Arabic Scrabble Game to Improve Arabic Vocabulary for Students of Arabic Education Study Program IAIN Jember

This study aims to develop an Arabic Scrabble game product to increase Arabic vocabulary, describe the steps for developing an Arabic Scrabble game, and test the feasibility of an Arabic Scrabble game development product to improve Arabic vocabulary. This type of research is Research and Development research with the Borg and Gall development model which is modified into five steps of development, namely 1) Research and data collection (2) Formulating a research plan. (2) Development of initial product draft. (4) Test the product to the validator. (5) Revision. The instruments used were expert validation questionnaires (media, material and language experts) and interview guidelines. The results showed that the Arabic Scrabble game was categorized as a very appropriate learning media to be used in learning Arabic vocabulary. This can be seen from the results of the research (1 steps for making a game consisting of a game box/packaging, game board, game chips/dice, letter rack, game manual and game assessment sheet. (2 Based on the results of expert trials, game product development Arabic Scrabble got a score of 95.3% (very decent category) from media experts, material expert validation got a score of 86% (decent category), linguist validation got a score of 96% with (very decent category).
SISTEM PAKAR KERUSAKAN LAPTOP MENGGUNAKAN METODE BACKWARD CHAINING BERBASIS WEB

Laptop is one type of computer that is in great demand by the public at this time, especially for activities such as processing sales data and also purchasing and others can be done using a laptop. In using a laptop, there are several problems that are often faced at this time, namely the damage that occurs to the laptop and how to solve the problem of dealing with the damage to the laptop. Therefore, a web-based laptop damage expert system was created that serves as a substitute for experts for consulting media. In its manufacture, the system uses the backward chaining method for laptop damage data. The results of this study can detect laptop damage more quickly and precisely in helping users. With this system, it is hoped that it can help laptop users in overcoming the problem of laptop damage.
Co-Optimization of DNN and Hardware Configurations on Edge GPUs

The ever-increasing complexity of both Deep Neural Networks (DNN) and hardware accelerators has made the cooptimization of these domains extremely complex.Previous works typically focus on optimizing DNNs given a fixed hardware configuration or optimizing a specific hardware architecture given a fixed DNN model.Recently, the importance of the joint exploration of the two spaces drew more and more attention.Our work targets the co-optimization of DNN and hardware configurations on edge GPU accelerators.We propose an evolutionary-based co-optimization strategy by considering three metrics: DNN accuracy, execution latency, and power consumption.By combining the two search spaces, a larger number of configurations can be explored in a short time interval.In addition, a better tradeoff between DNN accuracy and hardware efficiency can be obtained.Experimental results show that the co-optimization outperforms the optimization of DNN for fixed hardware configuration with up to 53% hardware efficiency gains with the same accuracy and inference time.
Smartphone Selection Recommendation System

Smartphone is a telecommunications tool that has the same capabilities as conventional telephones, where smartphones are much more practical and easy to carry anywhere. The brands smartphone offered have many models and specifications such as ram, rom, camera, processor and others. To make it easier for users to choose the type of smartphone, it takes a smartphone selection recommendation system to assist users in making a decision. In this study resulted in a smartphone selection recommendation system application that is designed to assist users in making decisions in choosing a smartphone. This system is designed with reference to the calculation results of the Simple Additive Weighting (SAW) method by considering several criteria used to search smartphones. From the results of calculations using the SAW method, the preference values ​​of V1 to V3 are determined where according to alternative data, V1 for alternative A1 with a value of 0.76, V2 for alternative A2 with a value of 0.77, and V3 for alternative A3 with a value of 0.85. So that the largest ranking value is obtained, namely V3 with a value of 0.85. So alternative V3 is the alternative that was chosen as the best alternative.
Pengaruh Aktivitas Bermain Game Online terhadap Akhlak dan Motivasi Belajar Siswa SMA Negeri di Kabupaten Penajam Paser Utara

This research is motivated by the rise of online game playing activity of student SMA Negeri in Kabupaten Penajam Paser Utara, which has an effect on moral change and a decrease in students’ study motivation who actively plays online games. This study aims to find out how the activity of playing online games, the morals, and the students’study motivation, how much the influence of online games playing activity on morals and students’ study motivation, and how much the influence of online game playing activity on morals and students’ study motivation simultaneosly. The type of this research is quantitative research, with data collection techniques used the form of questionnaires and documentation. The data analysis technique is simple linear regression and multiple linear regression. The population is all students of class X of SMAN 3, SMAN 4 and SMAN 5 of Kabupaten Penajam Paser Utara, totaling 467 people. The sample amounted to 94 people with purposive sampling technique. The research result show that : (1) the online game playing activity of students is a good with a value of μ = 46 (μ = X ˃ 51 ), (2) the morals of studens is so good with a value of μ = 52 (μ = Y1 ˃ 51 ), (3) Students’ study motivationis is a good with a value μ = 49 (μ = Y2 ˃ 51 ). (4) The value of rx_Y1 is 0,615, with a strong intensity and t_test = 7,487 &gt; t_table = 1,66159, so Ha is accepted which means that the online game playing activity has a significant effect on the moral. The value of the coefficient of determination proves that online game playing activity has an effect 37,9% on the students’ moral and 62,1% is influenced by other variables. (5) The value of rx_Y2 is 0,619, with a strong influence and t_test =7,562 &gt; 1,66159, so Ha is accepted which means that the online game playing activity has a significant effect on the motivation of study. The value of the coefficient of determination proves that online game playing activity has an effect 38,3% on the motivation of study and 61,7% is influenced by other variables. (6) Furthermore, the results of the multiple linear regression obtained a relationship of 0.656, it can be concluded that the activity of playing online games together has a strong and significant effect on moral and students’ study motivation of SMA Negeri in Kabupaten Penajam Paser Utara.
Evaluate the Impact of Covid-19 Epidemic on Tertiary Education, Training, and Scientific Research in Universities in Vietnam

Covid-19 has impacted all aspects of social life, including how everyone works, studies, teaches, and research.In this study, the authors explore changes or impacts of Covid on teaching and research.Learn about the advantages and disadvantages of teaching and research.In addition, we propose solutions to adapt teaching and research during the Covid-19 epidemic.The research team surveyed the data in August 2021, when Vietnam was in the 4th wave of Covid.With 226 respondents, who are lecturers and researchers across three regions of Vietnam. CURRENT STATUS
A Novel Approach to Compress and Secure Human Genome Sequence

DNA sequences can be considered as a pool of genetic information mostly used for reproduction, classification, and detection of disease. FASTA is the commonly used DNA sequence in a textual format whose size is too large which makes it difficult to store and manage; also securing this data is a big issue. Compression techniques that can reduce the size of these DNA data files are the most appropriate solution, reducing the size also reduces the need for resources for transmission. Therefore, this work proposes a novel ASCII-based compression algorithm, in which DNA characters are first converted into ASCII integers and then delta computed, afterwards the LZW compression technique is applied to the computed result. For ensuring the security of data, the blockchain-based framework is used after the compression module to make data immutable. In this paper, for methods like LZW and Huffman code, compression ratio comparisons were also determined for homosapiens, and from the results, it is clear that the proposed algorithm shows a good compression ratio for some randomly selected data sets. Another aim of this paper is to show the benefits of using a blockchain-based framework in securing healthcare data.
College Election System using Facial Authentication

Voting is commonly related to politics and is often ended with exploitation. Manual voting may lead to malpractices sometimes, so there is a need to implement a secured online voting system. The voting system that we propose is a web portal which is designed using the MERN stack and the authentication of the voter is done using facial recognition. For this, the Eigen-face algorithm is used. The user will have to register and login into the portal. After that, the users will upload their respective documents which will be verified by the admin. For the voter’s assistance, the portal has several features like slot booking for the voting day, reminders for the voters, viewing of the candidates standing for the elections and a FAQ chatbot. The candidates can do online campaigning, set online rallies and build their profiles for the voters to see. The whole website is secured using a JWT token which ensures that every request made to the website is made by a legitimate and admin verified user. The voter is verified using facial authentication before he is allowed to vote. Our system uses the Eigen-Face algorithm with an accuracy of around 87%.
Web document summarisation using pointwise mutual information (PMI) from web resources

Nowadays, large amount of data is generated over the internet. It is impossible for the humans to summarise such large chunks of bytes. Therefore, to deal with such challenges, automatic text summarisation systems are deployed. Text Summarisation is the field of data mining that highlights the relevance of important text in a document. In this paper, we proposed a web-based text summarisation approach that generates good quality summary based on total pointwise mutual information (TPMI) scores of the sentences. A sample document from DUC dataset is used which is pre-processed for tokenisation, stop words removal and stemming operations. Based on the extracted words, the TPMI is estimated by calculating the pointwise mutual information (PMI) of the occurrences of words on web search engine. To provide evidence for the robustness of our proposed system, proposed approach is compared with the well-known text summarisation techniques based on sentence length and mean score. The results show that our method outperforms the other techniques by exhibiting best results for closest mean score and generating good quality summary on sentences of different length.
The Effects of Emotional Intelligence on the Students’ Learning Outcomes in a State High School

This study aims to find out the influences of emotional intelligence on the learning outcomes of high school students. The method used in this study is a qualitative case study. The participants of this study were 48 high school students in Pekanbaru. The data was taken by administering a questionnaire to those participants. The data were analysed qualitatively. The result informed that students’ emotional intelligence affects learning outcomes. The results also showed that emotional intelligence can make some useful contributions to students’ learning outcomes at schools, such as making them spiritful in learning and being able to manage emotions so that they can achieve learning goals. This contribution is indeed influential. However, because the factors that affect learning outcomes themselves are quite complex, and are not included in this aspect of the study, further studies are recommended conduct.
The Privacy control in the most used mobile health applications in Mexico during the first year of the COVID 19 pandemic

The COVID 19 pandemic meant changes in people's lives because the health authorities of each country promoted confinement to reduce the speed of contagion, avoid the collapse of health systems. In such a situation, the use of mobile applications was essential to maintain the continuity of activities such as work, education and entertainment. Additionally, some countries took advantage of the use of mobile applications to facilitate the monitoring of the pandemic and the early detection of new infections through a diagnostic scale. Although the use of this type of tool is promoted, it has many advantages and is promoted by the World Health Organization, the results of different investigations reveal areas of opportunity that prevent adequate treatment of personal data.&#x0D; This report presents the results of the first investigation of its kind in Mexico, in which the most used mobile health applications in the country during the first year of the pandemic were identified, as well as the conditions they offered to make their applications transparent. practices in terms of data processing and functionalities arranged so that people maintain control of their data and therefore their privacy. Although the results are applicable in the first instance to health applications, in the opinion of the researcher it is estimated that the methodology and recommendations may be useful for technologies that use similar data treatment schemes.
Assessing the Adoption of Artificial Intelligence on Employees’ Work Behaviours in the Hospitality Sector: The COVID-19 Influence

COVID-19 has disturbed the functioning of diverse businesses.The hospitality sector has been one of the most affected sectors as businesses in this particular sector were forced to either close down or lay off employees.The present study analyzed the impact of adoption of Artificial Intelligence (AI) on employees' level of motivation, job security satisfaction and organizational commitment when the COVID-19 pandemic was hitting the world.Employees working in the hospitality sector were targeted to participate in the online survey.A response rate of (N=159) was obtained.The data was analyzed through the Partial Least Square Structural Equation Modelling (PLS-SEM).The study revealed a positive relationship between AI and motivation and between AI and job security satisfaction.This study also supported the positive relationship between job security satisfaction and motivation and between motivation and organizational commitment.Yet, this study also revealed a non-significant relationship between AI and organizational commitment and between job security satisfaction and organizational commitment.By evaluating the impact of AI on motivation, level of organizational commitment and job security satisfaction in the hospitality sector is expected to add to the existing body of knowledge.Very few studies have evaluated the adoption of AI from an employee viewpoint which will help both scholars and practitioners to better manage this shift.The Psychological Contract Theory (PCT) has been used to better understand the processes and perceptions of employees.
Economic Recovery: A Bibliometric Study

Abstract: Purpose: This study aims to determine the characteristics of previous studies on economic recovery Research Methodology: This research is a bibliometric study using the charting the field method developed by Hesford et al., (2006). Results: 46 articles from 2021-2022 were obtained from the Sinta accredited journal with the keyword economic recovery. The majority articles are from 2021, Sinta 5, economic journal, used qualitative research, secondary data sources. Last, three strategies most discussed were empowerment of MSMEs, the provision of social assistance, and the use of Islamic financial instruments. Limitations: This study uses only two of the three classifications developed by Hesford et al (2006). Contribution: The novelty in this research is to propose a new classification based on the focus and scope of journals, Sinta's accreditation rating, types of research, types of data sources, data collection methods, and economic recovery strategies discussed. Keywords: 1. Econometric Recovery 2. Covid-19 3. Bibliometrics
Categorization of Decision Support Systems in the Field of Education

The development in technology and internet increased the amount of options that the decision maker can choose from.The more options a decision maker has, the more likely it will lead to poor decision making.This is called the paradox of choice.In order to avoid this paradox, one can get help from software systems.These systems are generally called Decision Support Systems (DSS) and they assist decision makers to make the best decision.DSS are used in education sector both by the administrators and the teachers in addition to the students.This study analyzes the articles related to DSS in the education sector and classifies them accordingly.As a result, there are two major categories.One of them is "Management Oriented DSS" and the other one is the "Student Oriented DSS".Management-oriented decision-making systems assist managers in make crucial strategic decisions about the future, such as fixture selection, research and development and laboratory requirements, and personnel and financial resource planning.Student-centered methods improve the efficiency of learning activities and make school-university choices easier.Model and system development studies that aid decision-making in the education ecosystem from the perspectives of schools, teachers, and students were investigated in depth and presented in light of solution recommendations brought up by education stakeholders.
Metode Potensial Untuk Menghitung Clock Skew

Some studies such as Aoki measure clock skew by filtering outliers by selecting the minimum offset that is collected using linear regression to calculate the slope of the accumulated minimum offset. Huang who uses the QPM (Quick Piecewise Minimum) algorithm to calculate the skew of the minimum offset at the beginning and end of the collected offsets and Moon's research that uses the LPA (Linear Programming Algorithm) algorithm which determines the clock skew of the line gradient that is below the offset. In addition, there are several methods that have the potential to be used in measuring clock skew including ant colony, bee colony, particle swarm, and also genetic algorithm. From these several methods, one method that has potential as a method that can be used for measuring clock skew will be selected. The method that can be used is particle swarm optimization because it is considered more efficient and flexible and easy to implement with few parameters used.
Analysis and Prediction of GPA Based on UTBK scores Using Linear Regression Algorithm

Education is an important element that needs special attention, because education is an important element for the progress of a nation. Not only formal education starting from elementary school to high school, it can now be said that higher education has a central role in developing the capabilities of the Indonesian people. One way to get into state universities is with Ujian Tertulis Berbasis Komputer (UTBK). UTBK is set to be the main requirement to take part in the Seleksi Bersama Masuk Perguruan Tinggi Negeri (SBMPTN). Students' abilities cannot necessarily be measured by the UTBK scores. Student achievement when entering tertiary institutions is determined by an assessment of the GPA (Cumulative Achievement Index). In this study the authors tried to find a relationship between the UTBK scores and student GPAs using the linear regression method. The results showed that the correlation between the UTBK and GPA scores was 0.670157 and the mean squared error was 0.0546.
PERAN GURU DALAM MENGATASI KESULITAN BELAJAR PESERTA DIDIK DI SD

In the learning process, both teachers and students want satisfactory results. But in reality, something that is desired sometimes does not go well. There are still many students who encounter obstacles in learning so that it makes students have difficulty learning. Learning difficulties are conditions where students have obstacles or distractions in the learning process so that the expected results are not satisfactory. These obstacles or disturbances can be caused by several factors, both internal factors of students and external factors of students. Learning difficulties become an obstacle for teachers when delivering subject matter. Teachers have an important role for students in overcoming learning difficulties. As for the efforts made by the teacher to overcome learning difficulties, namely by identifying obstacles related to student learning difficulties, providing direction to student guardians to overcome problems, and finally the teacher provides study guidance to students.
IMPLEMENTATION A COMBINATION OF BIO-DESULFUSIZATION AND TRICKLING FILTRATION TECHNOLOGIES WITH A VARIETY OF COCONUT SHELL CHARCOAL FILTER MEDIA IN REDUCING THE CONTENT OF H2S AND TSS IN THE LEATHER-BASED CLOTHING INDUSTRY

&lt;p&gt;Waste generated as a result of the leather processing industry can be in the form of solid, liquid and gas waste. Waste generated from the textile industry made from clothing H2S and TSS which if not treated properly, will be very dangerous for health and the environment. One of the efforts to overcome this problem, is offered in the form of a simple, inexpensive and efficient H2S and TSS waste treatment technology, namely by using a combination of bio-desulfurization and trickling filtration methods as a means of treating liquid waste in the leather-based textile industry, especially for parameters, H2S and TSS. Bio-desulfurization is a sulfur removal process by utilizing the metabolism of microorganisms, namely by converting hydrogen sulfide into elementary sulfur, and trickling wastewater filtration is a treatment process by spreading wastewater into a pile or media bed consisting of Coconut Shell Charcoal to reduce H2S and TSS content in leather-based clothing industry wastewater. The results of the study for H2S parameters in wastewater treated in bio desulfurization reactor and trickling filter with Coconut Shell Charcoal filtering media, the biggest decrease was in filter media with a thickness of 60 cm with a contact time of 30 minutes of 4.43 mg/lt or 88.84%. Likewise, the largest decrease in TSS parameter content was found in a 60 cm filter media thickness with a contact time of 30 minutes of 47.67 mg/lt or 82.54%.&lt;/p&gt;&#x0D;