Reviewerly/exHarmony huggingface dataset:
Prediksi Tingkat Kriminalitas Menggunakan Metode Single Moving Average (Studi Kasus Polres Asahan Sumatera Utara)

Crime is all kinds of actions and actions that are economically and psychologically harmful that violate the laws in force in the State of Indonesia as well as social and religious norms. Ordinary criminal acts affect the security of the community and threaten their inner and outer peace. The research location is the Asahan Police which is an agency that can provide security and protection for the community, especially those in Asahan Regency. The problem that occurs in this location is that there is no prediction system in Asahan Regency, due to the lack of knowledge factor in processing crime rate data. So it is difficult to know how much the increase or decrease in criminal cases carried out at the Asahan Police. The data used are cases of murder, sexual harassment, assault, violent theft, weight theft, motorcycle theft, fraud and counterfeiting money for the last 5 years from 2016 to 2020. This study aims to predict the crime rate in Asahan Regency in order to anticipating the upcoming spike in crime. The system that will be made uses forecasting or forecasting. With the Single Moving Average forecasting method. The Single Moving Average method is a forecast for the time in the future. The results of the calculation of predictions for criminal cases in 2021 obtained 3 cases of murder, 2 cases of sexual harassment in 2021, 252 cases of maltreatment in 2021, 27 cases of violent theft in 2021, 348 thefts with a weight in 2021. cases, motorcycle theft in 2021, totaling 90 cases, fraud in 2021, amounting to 85 cases, and counterfeiting money in 2021, totaling 1 case. This result has an accuracy rate of 99% from the reality of the crime that occurred, so this study is very appropriate to be used to predict the crime rate.
ANALYSIS CAPACITY OF WATERWAY IN ANEKA ELOK EAST JAKARTA

The problem of flooding in Aneka Elok, which is located in the city of East Jakarta, is still a matter of concern, because every rainy season it is always routinely flooded. The catchment area in this study is 0,75 km&lt;sup&gt;2&lt;/sup&gt; has a primary waterway that flow along the Aneka Elok area which flows northward to the reservoir and pump house. The reservoir in Aneka Elok area is located on an area of 32.000m&lt;sup&gt;2&lt;/sup&gt;, is able to accommodate a flood debit of 225m&lt;sup&gt;3&lt;/sup&gt; with an average depth of 4m. And has a pump capacity of 1000 liters/second as much as 2 units. With the current capacity of the reservoir and pump capacity, it is still not able to overcome the debit flood existing. This study aims to determine the existing debit in Aneka Elok area according to the return period of 5 years and 25 years, the debit flood existing in the research area, so that it can analyze the required waterway cross section and ideal pump capacity. With a return period of 5 years, the rainfall insensity of I&lt;sub&gt;5&lt;/sub&gt; is 91,95 mm/hour to calculate the debit flood due the rain and compared to the debit existing flood, it is found that thecapacity of the existing waterway at C1-C2, C4-C9 and C11 is not sufficient to accommodate the current debit flood, so it is necessary to modify the waterway dimension. With a return period of 25 years, the rainfall insensity I&lt;sub&gt;25&lt;/sub&gt; is 169,66 mm/hour to calculate the pump capacity, it is found that current capacity is still not sufficient so that it is necessary to increase the pump capacity from 2 m&lt;sup&gt;3&lt;/sup&gt;/s to 3,5 m&lt;sup&gt;3&lt;/sup&gt;/s to accelerate water flow.
Decision Making System Determination of assistance Home renovation With Weight product and simplle additive weighting

Home used for shelter, .[1][2] communities don’t have home, its because poverty factor. .[3] The government has a program that can eradicate poverty, one of which is a home renovation program. Data obtained from about poverty rate in Lampung province amounted to 13.01% in September 2018, [4] This Program is given to residents according to the criteria specified. Currently A home renovation program is still subjective, This research uses the method WP and saw There are 11 criteria , it needs to solve this problem. They are Work, land Status of residence, Wall house, drinking water source, fuel for cooking, MCK Condition, consumption (meat, milk, chicken) per year, highest education of family head, family head income, roof structure, floor type&#x0D;
Tutorial Submit Articles on the Open Journal System (OJS)

Submitting articles to the Online Journal System (OJS) has been seen as a difficult thing for the public. The proposed community service program is a community service program that aims to provide easy solutions for the community to publish research results. The public can take advantage of technology to publish works through the Open Journal System (OJS). Based on the background of the proposer team and the experience of the proposer team, hereby, the team proposes a community service program with the theme "Tutorial Submit Articles on the Online Journal System (OJS)". The training will provide material and practical presentation. The results of these activities are expected to provide benefits for academics and other researchers to publish their work.
Part Three, Book Two: The Rays, or the Eternal Way

Ubiquity Press is an open access publisher of peer-reviewed academic journals, books and data. We operate a highly cost-efficient model that makes quality open access publishing affordable for everyone. We are a part of Ubiquity, which also provides full publishing infrastructure and services to university presses, and repositories for institutions to enable open communication throughout the entire research lifecycle.
Story to Improve Language Abilities of Early Children

Language skills in PAUD Terpadu Mutiara Yogyakarta children are still low. This matter is caused by less attractive and varied educational procedures and media. The use of exciting techniques such as telling is expected to improve children's language skills. This research aims: to identify the skills in telling children in improving the language skills of children PAUD Terpadu Mutiara Yogyakarta; to recognize the increase in language skills of children in PAUD Terpadu Mutiara Yogyakarta through telling. This research's procedure involves action research, which consists of 2 cycles, the first cycle of 8 actions and the second cycle of 3 steps. The study subjects were children in group B, with 16 children consisting of 5 boys and 11 girls. Methods of collecting information through observation, interviews, and documentation. The method of information analysis was tried descriptively, qualitatively, and quantitatively. The action's success criterion is if the average class score in improving language skills reaches 75%. The research results show that: the media implementation process includes three stages, namely preparation, implementation of activities, and assessment; in Cycle I, it increased from the results of pre-action by 27% to 36%, and in Cycle II, it increased to 75%. So it can be concluded that the implementation of telling can improve PAUD Terpadu Mutiara Yogyakarta children's language skills.
Mean-Field Analysis of Sourlas Codes with Adiabatic Reverse Annealing

Abstract In this chapter, we analyze the typical performance of adiabatic reverse annealing (ARA) for Sourlas codes. Sourlas codes are representative error-correcting codes related to p -body spin-glass models and have a first-order phase transition for $$p&gt;2$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mi>p</mml:mi> <mml:mo>&gt;</mml:mo> <mml:mn>2</mml:mn> </mml:mrow> </mml:math> , which degrades the estimation performance. In the ARA formulation, we introduce the initial Hamiltonian which incorporates the prior information of the solution into a vanilla quantum annealing (QA) formulation. The ground state of the initial Hamiltonian represents the initial candidate solution. To avoid the first-order phase transition, we apply ARA to Sourlas codes. We evaluate the typical ARA performance for Sourlas codes using the replica method. We show that ARA can avoid the first-order phase transition if we prepare for the proper initial candidate solution.
LowResourceEval­2021: a shared task on speech processing for low­resource languages

This paper describes the results of the first shared task on speech processing for lowresource languages of Russia.Speech processing tasks are notoriously dataconsuming.The aim of the shared task was to evaluate the performance of stateoftheart models on lowresource language data as well as draw the attention of experts to field linguistics data (using Lingovodoc project data).The tasks included language identification and IPA transcription, with three teams participating in them.The paper also provides a description for the datasets as well as an analysis of the participants' solutions.The datasets created as a result of the shared task can be used in other tasks to enhance speech processing and help develop modern NLP tools for both speech communities and field linguists.
PENGEMBANGAN BAHAN AJAR SPLDV (MASTERING MATH) BERBASIS MOBILE LEARNING UNTUK MENINGKATKAN KEMAMPUAN LITERASI MATEMATIKA SISWA

Learning process of mathematics can be carried out using a context that is designed on a mobile learning-based teaching material by utilizing technological devices such as smartphones that are already used by students, but the benefits are not maximized.This development research aims to produce mobile learning based teaching materials on SPLDV material to see the increase in students' mathematical literacy skills.Guided by the steps of the Rowntree development model.This development model is grouped into three stages of development, the stage stage, stage stage, stage stage, and evaluation stage.At the evaluation stage, the researcher used Tessmer's formative evaluation model, namely: (1) self evaluation; (2) expert review; (3) one-to-one evaluation; (4) small group evaluation; and (5) field testing.With data collection techniques in the form of: new interviews, questionnaires for material experts, questionnaires for media experts, questionnaires for student responses, and test instruments.The subjects of this study were students of class VIII at SMPN 23 Bandung.The results showed that the mobile learning-based SPLDV teaching materials developed were valid and feasible as a source of mathematics learning and were effective in improving students' mathematical literacy skills.
IMPROVING 3D SURFACE MEASUREMENT OF MECHANICAL DETAILS BY STRUCTURED LIGHT USING HIGH DYNAMIC RANGE

The measurement methods using structured light have the advantage of being fast, accurate, and noncontact with the surface of the object. However, these methods have reached its limitation when measuring mechanical details with high surface gloss, due to the unpredictable reflection of incident rays after reaching to object’s surface that, consequently, leads to the simultaneous appearance of several regions with different brightness. To address this problem, we proposed a method of synthesizing extended dynamic range images based on changing the exposure time of the camera and adjusting the illumination of the projector light source so that 3D point coordinates in both bright and dark areas could be obtained through the process. The dual-camera structured light experimental model and the lightcrafter 4500 projector are synchronized through the trigger, using the gray code in combination with the line-shift projection pattern. Experimental results show that the proposed method can precisely reconstruct the 3D surface of mechanical details, while providing higher performance than the state-of-the-art methods.
PENGARUH BIMBINGAN BELAJAR DAN PEMANFAATAN INTERNET TERHADAP HASIL BELAJAR SISWA PADA MATA PELAJARAN IPS DI KELAS VII SMP NEGERI 2 KOTA JAMBI

AbstractThis study aims to determine (1) the effect of tutoring on student learning outcomes in social studies subjects in class VI SMP Negeri 2 Jambi City, (2) the influence of internet use on student learning outcomes in social studies subjects in class VII SMP Negeri 2 Jambi City, (3) the effect of tutoring and the use of the internet on student learning outcomes in social studies subjects in class VII SMP Negeri 2 Jambi City. This type of research is a survey method research with two independent variables and one dependent variable. The total population in this study was 130 people. The sampling technique used in this study was proportional random sampling, so that 98 people were selected as research samples. The technique of collecting data in this research is by distributing questionnaires via google form to research respondents. The data analysis technique in this study was multiple regression with the SPSS for Windows Version 21 program. The results showed that (1) the effect of tutoring on learning outcomes obtained a value of tcount &gt; ttable (6.038 &gt; 1.984). That is, tutoring has a significant effect on student learning outcomes in social studies subjects in class VII SMP Negeri 2 Jambi City, (2) The effect of internet use on learning outcomes is obtained by the value of tcount&gt; ttable (5.580&gt;1.984). That is, learning facilities have a significant effect on student learning outcomes in social studies subjects in class VII SMP Negeri 2 Jambi City, and (3) tutoring and internet use significantly affect student learning outcomes on social studies subjects in class VII SMP Negeri 2 Kota Jambi. This is based on Fcount &gt; Ftable (26.827 &gt; 0.09), so it can be concluded that H0 is rejected.Keywords: Tutoring, Internet, Learning Outcomes
Family Economic Correlation To Students Learning Achievment Using Apriori Method

The education system in Indonesia as mandated in the GBHN aims to educate the nation while at the same time responding to new challenges to create a decent and prosperous life. Understanding, apprecation, and experience of cultural and religious values in the right and true form will be increasingly needed. The economic status of the family is one of the factors that is sufficient to support the level of continuing education, especially for teenagers who are still student in school. Apriori method is used to obtain association rules that describe the relationship between item in the transactional database. There are two databases used, each of which has a different number of transactions. This study aims to aplly the apriori algorithm, as an analytical technique. The data taken as a case example is familiy economic data. This association search uses WEKA which will later find the rules and MySQL as the placeholder for the Database. From the results of the analysis using apriori, the highest confidence value was obtained at 0.9 with support 0.1 resulting in a students rule whose economics supported the learning achievement was very supportive, and the lowest confidence value of 0.2 with support 0.1 resulted in a students rule who had sufficient economics, so their learning achievement was also quite increased..
ESP teacher professional development during the COVID-19 era at Igor Sikorsky Kyiv polytechnic institute

This article analyses professional development, completed by 34 in-service ESP teachers of the Department of English for Engineering No. 1 at Igor Sikorsky KPI during March-December 2020. In total 3344.3 hours of professional teacher development were analysed. They were confirmed by certificates of attendance and completion. A significant rise in the number of hours ESP teachers of the Department of English for Engineering No. 1 at Igor Sikorsky KPI spend professionally developing was noticed compared to the years before the pandemic. Quantitative methods and statistical and mathematical processing were used to analyse the data. Nine main categories of professional development were outlined. ICT teacher skills (51.8 % hours), teaching approaches, methods and techniques (18.4 %), student and teacher assessment and evaluation (14.5 %) were distinguished as the three top categories of professional development during the COVID-19 era at the department. Together these categories embraced approximately 85 % of all time, spent on professional growth by ESP teachers of the Department of English for Engineering No. 1 at Igor Sikorsky KPI. Other six categories included: connections with other disciplines (6.6 %), academic publications and research issues (4.8 %), international teacher collaboration (2.1 %), student and teacher behavior problems (1.6 %), language issues (0.2 %), curriculum development (0.07 %). The results confirmed the high demand for learning new ICT tools, platforms, and Google services in March-December 2020, the high interest in teaching approaches, methods and techniques, which can be used during the COVID-19 era, and ways to assess and evaluate students’ and teacher’s performance. Webinars, online conferences and online courses turned out to be the most popular forms of professional development of ESP teachers at Igor Sikorsky KPI during March-December 2020. Another discovered trend was the variety of providers of trainings for ESP teachers during the COVID-19 era. The list of them included 37 different organisations, institutes and centers, such as Dinternal education, Training Center Linguist (Cambridge University Press), Educational project “Na urok”, The Ukrainian Institute of Information Technologies in Education, Oxford University Press, Macmillan Education and others
Rancang Bangun Sistem Informasi Recruitment Berbasis Web Bagi Karyawan Baru

n processing employee recruitment data, it still uses a manual system so that the company experiences several problems in searching for applicant files. So we need a system that can handle the recruitment of new employees that can support the performance of a company. In this study, researchers used SWOT analysis, PHP (Hypertext Preprocessor) was used for the programming language, while the software used for the database server system was MySQL, and XAMPP. With this employee recruitment system, it can make it easier for applicants to be able to directly access the application files on the website, as well as make it easier for HRD in the process of selecting new employees.
Lessons learned from creation of digitally competent educators SLP

“E-SLP – European Short Learning Programmes for continuous professional development and lifelong learning”. Project Number: 590202-EPP-1-2017-1-NL-EPPKA3-PI-FORWARD, funded by the Erasmus+ programme
TF-IDF Method and Vector Space Model Regarding the Covid-19 Vaccine on Online News

Advances in information and technology have caused the use of the internet to be a concern of the general public. Online news sites are one of the technologies that have developed as a means of disseminating the latest information in the world. When viewed in terms of numbers, newsreaders are very sufficient to get the desired information. However, with this, the amount of information collected will result in an explosion of information and the possibility of information redundancy. The search system is one of the solutions which expected to help in finding the desired or relevant information by the input query. The methods commonly used in this case are TF-IDF and VSM (Vector Space Model) which are used in weighting to measure statistics from a collection of documents on the search for some information about the Covid 19 vaccine on kompas.com news then tokenizing it to separate the text, stopword removal or filtering to remove unnecessary words which usually consist of conjunctions and others. The next step is sentence stemming which aims to eliminate word inflection to its basic form. Then the TF-IDF and VSM calculations were carried out and the final result are news documents 3 (DOC 3) with a weight of 5.914226424; news documents 2 (DOC 2) with a weight of 1.767692186; news documents 5 (DOC 5) with weights 1.550165096; news document 4 (DOC 4) with a weight of 1.17141223;, and the last is news document 1 (DOC 1) with a weight of 0.5244103739.
Penalty Logic: Paraconsistency and Applications

Penalty logic is a non-classical non-monotonic logic which allows us to demonstrate the power of belief, the level of truth or the reliability of data that we are using. This logic can be useful to model human reasoning or to replace the penalty function in the sphere of Machine Learning. We can also talk about paraconsistency of this logic and suggest the definition of contradiction without negation.
Sentiment Analysis of Arabic Tweets about Violence Against Women using Machine Learning

Social Media platforms, such as Twitter become a significant pulse of smart societies that are shaping our communities by sensing people’s information and perceptions across living areas over space and time. Social media sentiment analysis helps in recognizing people’s emotions and attitudes and assessing various public issues, for example, women’s rights and violence against women. In this paper, we use the sentence based sentiment analysis to study the topic of women’s rights. We collected dialect Arabic tweets from the whole Arab world as data via a Twitter API, and we clean it to use in the classification step. We have examined different types of traditional classification algorithms namely, Support Vector Machine, K-Nearest-Neighbour, Decision Trees, and Naive Bayes, then compared these results with deep learning results. Finally, we compared the classification results using the precision, recall, and accuracy measurements and we found the Support Vector Machine algorithm gains the best results, while the Naive Baye was the worst. We also noticed that there is increasing attention to women’s rights in the Arab world
An Acceleration Method based on Deep Learning and Multilinear Feature Space

Computer vision plays a crucial role in Advanced Assistance Systems. Most computer vision systems are based on Deep Convolutional Neural Networks (deep CNN) architectures. However, the high computational resource to run a CNN algorithm is demanding. Therefore, the methods to speed up computation have become a relevant research issue. Even though several works on architecture reduction found in the literaturehave not yet been achievedsatisfactory results for embedded real-time system applications. This paper presents an alternative approach based on the Multilinear Feature Space (MFS) method resorting to transfer learning from large CNN architectures. The proposed method uses CNNs to generate feature maps, although it does not work as complexity reduction approach. After the training process, the generated features maps are used to create vector feature space. We use this new vector space to make projections of any new sample to classify them. Our method, named AMFC, uses the transfer learning from pre-trained CNN to reduce the classification time of new sample image, with minimal accuracy loss. Our method uses the VGG-16 model as the base CNN architecture for experiments; however, the method works with any similar CNN model. Using the well-known Vehicle Image Database and the German Traffic Sign Recognition Benchmark, we compared the classification time of the original VGG-16 model with the AMFCmethod, and our method is, on average, 17 times faster. The fast classification time reduces the computational and memory demands in embedded applications requiring a large CNN architecture.