Reviewerly/exHarmony huggingface dataset:
Prediksi Tingkat Penggunaan Air Minum Oleh Konsumen di Depot Monica Water Menggunakan Metode Weighted Moving Average

The use of existing data to support activities in decision making is not enough just to rely on operational data only, we need a data analysis to explore the potential of existing information. One of the data mining techniques that can be done is prediction. Prediction is needed to determine when an event will occur or arise, so that appropriate action can be taken. Prediction is not always 100% right, but with the right method selection can make predictions with a small error rate. Monica Water Depot is a business engaged in Refill Drinking Water. To find out the level of consumer use of refill drinking water, the business owner must know some predictions of upcoming purchases so that the business owner can provide gifts that are in accordance with the predicted purchases. Predictions on the level of consumer use can help employers provide gifts that are in accordance with consumer purchases, by knowing the purchase in the next period, the business owner can find out what gifts will be given to customers. The results of the analysis using I test data, II test data, and III test data obtained by the weight of moving avergae recommended using a weight of 2 months because it has the smallest error value when compared to using 3 months weight. Predictive results can be a recommendation for improvements made by management and as a means of determining business strategies in the future
Evaluation of Illegal Sports Betting Behavior According to Cybercrime Experts from a Communicative Viewpoint

All kinds of criminal betting activities that are played over sports competitions by using digital technologies without the permission of the authorized institutions are considered as illegal betting. In the formation of illegal bets, legal violations due to illegal structuring and activities, and economic violations in terms of providing untaxed unfair profits draw attention. The perspectives of those working in the field gain importance in the evaluation of the criminal, economic, psychosocial and communication dimensions of illegal bets. The aim of this qualitative study is to reveal a determination about illegal sports betting in line with the opinions of the expert police officers working in the Istanbul Police Department Anti-Cybercrime Branch. The results of the operations carried out for illegal sports betting between 2017-2020 are also used as the supporting data of the research. In the study, illegal sports bets were evaluated with the semi-structured in-depth interview technique based on the descriptive method, with the data obtained from the expert police. With the literature review and expert police interviews, important data were obtained about the methodology and communicative paradigms of the impact of illegal sports betting crimes on individuals and society. In this context this original research, evaluated from the perspective of cybercrime experts, makes a contribution to the literature.
Improving Students’ English Speaking Skill through Role Play at Grade Xi of Travel Tourism Program of SMK Negeri 45 Jakarta in The Academic Year of 2020/2021

The objective of the research was to improve the eleventh grade students’ English speaking skill of SMK Negeri 45 Jakarta at Travel Tourism Program in the academic year of 2020/2021 with the use of role play techniques. It expected that role play can improve the students’ speaking English skill. Based on the observation, there were some problems in the teaching and learning of speaking. To solve those problems, the researcher implemented role play as a speaking activity. The research was carried out through action research that consisted of two cycles. The researcher collaborated with the English teacher in implementing the actions and an observer. The data were in the forms of qualitative and quantitative. The data qualitative were in the forms of field notes, interview transcripts, questionnaire and photographs. The quantitative data were obtained from the test results of pre-test, post-test 1 and post-test 2, and also questionnaire data. The procedures of the research were reconnaissance, planning, actions, and reflection. The validity of the data was obtained by applying the democratic validity, process validity and outcome validity, catalytic validity and dialogic validity. Meanwhile, the reliability, in this research was using interrater reliability. In addition, the researcher used time triangulation, research triangulation and investigation triangulation.The research finds that: (1) the use role play can improve the students speaking skill and can help them to speak confidently, (2) the use of role play can give the students more chances for practicing speaking, and therefore the students can lose their fears of making mistakes and be more confident, (3) the use of role play can improve the students’ fluency, pronunciation, vocabulary and accuracy.
Концепт «Ідеологія» в іспанській науковій психології на межі ХІХ – ХХ століть

International scientific and practical conference «Pedagogy, psychology and teaching methods: international experience» : conference proceedings, July 16–17, 2021. Riga, Latvia : «Baltija Publishing», 2021. 295 pages.
Lessons from the Pandemic: Technology and Protection for Human Rights in the New Normal Era

With millions of people diagnosed with Coronavirus disease (“COVID-19”) till date, state governments have turned to using technologies such as contact tracing systems, high-tech camera sensors, or even information surveillance to control the spread of the pandemic. Despite the numerous advantages these technologies have produced, for example, swiftly flattening the infection curve and enforcing health protocols, the implications of maintaining such use of technologies in upholding fundamental human rights going into the post-pandemic ‘new normal’ era is not clear. Experts have debated the compliance of technologies to respect one’s right to privacy and right to freedom of expression when achieving their protective purposes to uphold societies’ right to the enjoyment of health during the pandemic. However, knowing the continuous improvement of technology, and mindful of the absence of the absolute certainty of its usage in the new normal era, whether it relates to the mechanism or the temporal length of its employment, this paper will further delve into such debate in the context of a pandemic-free environment. After considering the different forms and usages of technologies during the pandemic, analyzing the advantages of using technologies in the future, and critically assessing such usages from the perspective of international human rights law (“IHRL”), this paper claims that the technologies which are used during the pandemic must be properly maintained coming into the new normal era. However, several parameters; mainly the functionality of the technology, participation from the general public, and the formation of an appropriate legal framework, will have to become the main focus of governments to ensure the compliance of technologies with IHRL standards.
PENERAPAN E-LEARNING MELALUI PEMBELAJARAN BERBASIS MASALAH UNTUK MENINGKATKAN KEMAMPUAN PEMECAHAN MASALAH MATEMATIS MAHASISWA

This study aims to determine whether the application of e-learning in problem-based learning can improve the problem solving abilities of FMIPA Unimed students. The approach used in this research is descriptive qualitative research by actively involving through e-learning the actors in the learning process, namely lecturers and students, as well as other related subjects. This study's design consists of three stages: (1) the development of learning tools and research instruments, (2) the testing of learning tools and research instruments, and (3) the implementation of experiments. Keywords: Electronic Learning, Problem-Based Learning, Mathematica Problem Solving Ability
Management of Public Services in the Library and Archival Office of West Nusa Tenggara Province

This research aims to find out the management of public services and how to improve public services in the Regional Library and Archival Office of West Nusa Tenggara Province. This study uses descriptive qualitative methods. In this research, data collection techniques using interviews, observations, and documentation of public services in the Regional Library and Archival Office of West Nusa Tenggara (NTB) Province. Data analysis techniques are performed with data reduction measures, data presentation, and conclusion drawing. In this research, data validity check techniques using credibility, transferability, dependability, and confirmability. The results show that: (1) public service management ranging from planning, organizing, implementation, and evaluation is still fully not running smoothly. Public services provided have been very maximal, although, in its implementation, there are still perceived shortcomings ranging from lack of reading collection materials, inadequate infrastructure, minimal funds, and the need for building procurement to support the implementation of existing services so that services to the community are still felt less; (2) Efforts of NTB Provincial Library and Archival Office to improve and improve public services conducted by always improving human resources and improving infrastructure facilities to support the implementation of public services.
TEACHING READING COMPREHENSION THROUGH GUIDED NOTE TAKING STRATEGY

The aim of this study was to examine the effect of Guide note taking strategy on students’ reading comprehension and to identify students’ perception of Guide Note taking strategy. The first grade of one of the Islamic senior high schools in Pandeglang was the participant, there were 31 students tested and surveyed. Pre-experimental (one-group pretest-posttest design) was used to gain students data. The research findings indicated that students’ reading comprehension improve greatly. It showed from the finding results that the value of t(count) was (= 3,77) from significant standard of (α) 5% and 1% of t table was 2,04 and 2,75 then the data analysis showed that t(table) = (2,04) was lower than t(count)= (3,77.) It was marginally estimated that the alternative hypothesis was accepted and Guide Note Taking strategy had positive effect on students’ reading comprehension. Moreover, the survey result showed that students’ perceptions of Guide Note taking was received as well, and the students overwhelmingly supported the use of Guide Note taking strategy, it can be shown from many positive statements gained high percentage. This paper also confirmed that most of the students reading comprehension level included to the literal reading comprehension. Keywords: Students’ reading comprehension ; G uided Note Taking Strategy .
Machine learning for decoding linear block codes: case of multi-class logistic regression model

&lt;p&gt;Facing the challenge of enormous data sets variety, several machine learning-based algorithms for prediction (e.g, Support vector machine, multi layer perceptron and logistic regression) have been highly proposed and used over the last years in many fields. Error correcting codes (ECCs) are extensively used in practice to protect data against damaged data storage systems and against random errors due to noise effects. In this paper, we will use machine learning methods, especially multi-class logistic regression combined with the famous syndrome decoding algorithm. The main idea behind our decoding method which we call logistic regression decoder (LRDec) is to use the efficient multi-class logistic regression models to find errors from syndromes in linear codes such as bose, ray-chaudhuri and hocquenghem (BCH), and the quadratic residue (QR). Obtained results of the proposed decoder have a significant benefit in terms of bit error rate (BER) for random binary codes. The comparison of our decoder with many competitors proves its power. The proposed decoder has reached a success percentage of 100% for correctable errors in the studied codes.&lt;/p&gt;
New crypto ETF embraces Coinbase, skims Bitcoin

This ETF offers exposure to cryptocurrencies through public companies that operate in the space giving investors a slice of assets that are challenging to access.
Pengaruh Motivasi Guru Terhadap Hasil Belajar Matematika Materi Pecahan Pada Siswa Kelas IV Ssekolah Dasar Inpres 109 Perumnas Kota Sorong

This study aims to determine the effect of teacher motivation on mathematics learning outcomes in fractional material in class IV SD Inpres 109 Perumnas Sorong City. This research is an experimental study using a pretest-posttest group design research design. The independent variable in this study is teacher motivation while the dependent variable is learning outcomes. The sample of this study was the 50th-grade students of SD Inpres 109 Perumnas Sorong City as many as 50 students, divided into two groups namely the Experimental Group with 25 students and the Control Group with 25 students. Data collection techniques used were questionnaire, test, observation, and documentation. The data analysis technique consists of three stages, namely the stage of a description of the data, the stage of testing the requirements of the analysis, and the stage of testing the hypothesis. Questionnaire reliability test results obtained Cronbach's Alpha results of 0.860. Then the reliability test results of the pre-test results obtained Cronbach's Alpha results of 0.750 and the reliability test of the post-test questions obtained Cronbach’s Alpha results of 1.258. From the analysis of the results of the calculation of the motivation of learning experimental class students obtained a total score of 1787 with an average of 3.574. Percentage of 64% shows good motivation from students and 36% shows quite a good category. Whereas the control class obtained a total score of 1748 with an average of 3.496. Percentage of 64% shows good motivation from students and 36% shows quite good category. From the data analysis, the Kolmogrov Smirnov Asymp normality test was obtained. Sig (2-tailed)&gt; 0.05 then normal data is obtained. From the analysis of the data obtained homogeneity test that Asymp. Sig (2-tailed)&gt; 0.05 then obtained homogeneous data. Paired T-test results obtained the t value of the experimental class t count of 14.334 while the t class of the control class of 14.511 and the value of t count&gt; t table or sig 0.000 &lt;0.05 in both classes then H1 is accepted and H0 is rejected. So it can be concluded that there is an influence of teacher motivation on learning outcomes of fraction material mathematics in class IV SD Inpres 109 Perumnas Sorong City, if the teacher's negative expectations decrease, the learning achievement of students will increase
Methodology for Identifying Subject Professional Deficits of Mathematics Teachers

Modern challenges of the system of mathematical training of schoolchildren lead to an increase in subject professional deficits of a mathematics teacher. Monitoring the teacher’s professional deficits allows them to be leveled in a timely manner, thereby improving the quality of the educational process. However, the theory and method of identifying them has not been studied much. This makes it possible to state the problem of research, which consists in determining the conceptual basis of the methodology for identifying subject professional deficits of a mathematics teacher. The purpose of the article is to develop a methodology for identifying subject professional deficits of a mathematics teacher. Methodology. The methodological basis of the study was a competent approach as the basis for structuring the professional competencies of a mathematics teacher; a systematic approach as the basis for diagnosing professional deficits of a mathematics teacher; federal state educational standard for higher education in the field of training “Pedagogical education”; professional standard “Teacher (pedagogical activity in the field of preschool, primary general, basic general, secondary general education. Module “Subject training. Mathematics”, the requirements of the federal state educational standard for the mathematical training of students in a general education school). The study used methods of analyzing special literature and normative documents, pedagogical modeling and design, mathematical processing of information. Results of the study. The basic principles of the methodology for identifying subject professional deficits are formulated and substantiated: expediency, diagnosticity, systemicity and advance. Based on these principles, the authors developed a methodology for identifying subject professional deficits of a mathematics teacher. The example shows the main stages and results of diagnosing subject deficits of a mathematics teacher in the field of combinatorics and probability theory.
Brightness Preserving Histogram Equalization Approach for Colour Image Enhancement

Image enhancement is a key factor in the locale of image examination, incorporate extraction and any further increasingly raised level processing of the image. The idea of the took care of image can't be scarified at any explanation and contrast is continually invigorating in progressively critical level processing. The purpose behind image contrast enhancement is to improve the features of an image. Contrast Enhancement accept a basic activity in different kinds of images, for instance, Natural, Medical and Microscopic for quality improvement. In any case, contrast enhancement may not be significant for all images as processing of high contrast images costs time and estimations. Consequently, a modified estimation is required to arrange the images as low contrast and high contrast to improve the idea of the images. In this paper we are applying Histogram Equalization on concealing images with Different Color Space like RGB, HSV and Histogram Specification on diminish Scale images and concealing images.
A Trustable and Tamper-free Bus Permit Booking Transaction Dependent on Private Blockchain

This tale research proposes a security shielding Blockchain-Based authorization Service. which stores informationabout events and related permit in the blockchain network. As the blockchain progressions can ensure information trustworthiness, permit buyers can use the data set aside in the blockchain association to ensure the validity of the purchased permit and to decide related inquiries. We develop a blockchain-based tagging system which uses savvy contracts and multi-imprint to maintain what's more, endorse the executions of exchanges. The exchanges of buying and using receipt are checked by the blockchain, and the constant record what's more, multi-signature on the blockchain ensures the authenticity and security of the permit. The test outcomesshow that the proposed structure is powerful and requires only an apparent cost.
PENGGUNAAN DAN FUNGSI GAMAT DI DAERAH AIA MANIH KOTA PADANG DI SANGGAR GAMAT KUTRIL

Abstract Aia Manih region is one of the heirs of Gamat which is very existent in preservation. However, in recent years, Gamat is rarely used as an entertainment art for the local community. Thus, the purpose of this research is to find out the use and function of Gamatin the Aia Manih community, Padang City, in the Gamat Kutril Studio. There are several theories used in this study: the existence theory, usage theory, and function theory. This research is a qualitative research in the form of descriptive method. It gives clear explanation about the object studied. The research instrument was the researcher itself and was assisted by cameras, stationery, and interview lists. The data were analyzed through classifying primary data and secondary data then arranging them systematically. The results of this study show that there are several uses and functions of Gamat art in the AiaManih community. It is used at parties, welcoming events, inaugurations, and family gathering. There are also several functions. They functions are emotional expression, aesthetic pleasure, entertainment, communication, and physical reaction.Keywords: usage, gamat function, Sanggar Gamat Kutril
ARMAN: Pre-training with Semantically Selecting and Reordering of Sentences for Persian Abstractive Summarization

Abstractive text summarization is one of the areas influenced by the emergence of pre-trained language models.Current pre-training works in abstractive summarization give more points to the summaries with more words in common with the main text and pay less attention to the semantic similarity between generated sentences and the original document.We propose ARMAN, a Transformer-based encoderdecoder model pre-trained with three novel objectives to address this issue.In ARMAN, salient sentences from a document are selected according to a modified semantic score to be masked and form a pseudo summary.To summarize more accurately and similar to human writing patterns, we applied modified sentence reordering.We evaluated our proposed models on six downstream Persian summarization tasks.Experimental results show that our proposed model achieves state-of-the-art performance on all six summarization tasks measured by ROUGE and BERTScore.Our models also outperform prior works in textual entailment, question paraphrasing, and multiple choice question answering.Finally, we established a human evaluation and show that using the semantic score significantly improves summarization results.
All-Around 3D Reconstruction from Spherical Images with Semantic Segmentation

Lightweight, affordable spherical cameras can be utilized in mobile robotics to build a 3D map of the working environment of a robot. This paper demonstrates how to use the optical flow between two spherical images to quickly construct a semantically meaningful 3D model spanning all directions. The main contribution of the paper is the use of semantic segmentation to increase the robustness of the reconstruction method in both indoor and outdoor applications.
Predicting Inpatient Status for the Next 30/60/90 Days With Machine Learning

In this paper, we report the development of machine learning techniques which can help hospital authorities assess a patients' medical condition and also calculate the probability of readmission of the patient as inpatient, and thus identify patients with higher risks for readmissions. Factor Analysis is performed on patient data to understand the severity of mental health, and Random Forest models are used to determine the probability of a patient becoming an inpatient for the next 30/60/90 days from their last visit to the physician’s office. The Random Forest model fits the data with an overall OOB Error rate of 3.69% and an accuracy of 97.65%. The accuracy on the test data was 96.11%. A web application is also developed to provide a user-friendly interface for physicians and administrators to interact with and obtain relevant information for a given patient and or a group of patients. The web application affords physicians additional inputs to assist in their diagnosis and administrators, a window into anticipating and preparing for future patient needs.