Reviewerly/exHarmony huggingface dataset:
Penerapan Metode Analytical Hierarchy Process (AHP) Untuk Pemilihan Metode Pembelajaran

The lack of innovation and variety of a teacher in delivering material often makes students less interested or enthusiastic in following the subject matter.Learning methods in the form of material that is only explained directly can reduce student interest, are less effective and efficient.Therefore a decision support system was made using the Analytical Hierarchy Process (AHP) method to determine more effective learning methods that are used that are able to reach students in absorbing the material and knowledge delivered properly.The provisions of the criteria in the selection of learning methods used are the result of discussions with the parties directly related.The criteria determined there are four criteria, namely the effectiveness of use, student understanding, student ability, and student specialization.The results of the decision from the calculation of the merger of respondents' opinions using Microsoft Excel and the Expert Choice application showed the problem solving method as the first rank with a weight value of 0.473 followed by the assignment method with a weight of 0.267 and the method of providing information with a weight value of 0.
Penerapan Model Discovery Learning Untuk Meningkatkan Hasil Belajar Matematika Materi Operasi Hitung Bilangan Bulat Siswa Kelas VI Semester I

The purpose of this study was to improve student mastery of multiplication and to improve the learning process of Mathematics and to improve student learning outcomes. This study used three rounds of action research. Each cycle consists of four stages, namely design, activity and observation, reflection and revision. The target of this research is the students of Class VI SDN Manyaran 4 Class VI Academic Year 2020/2021 with 12 students. Initial data obtained in the form of formative test results, observation sheets of teaching and learning activities. The average previous student learning outcomes were less than 55, but after the researcher applied the Discovery Learning model as a means of understanding Integer Counting Operations, satisfactory results were obtained, namely the average student learning outcomes in cycle I increased to 70 and in cycle II increased to 84. These results indicate that the research conducted by researchers has succeeded in improving student learning outcomes. Based on this research, it can be suggested that teachers or researchers whose environmental conditions are almost the same as those of researchers should use learning methods as researchers have done.
COVID-19 and the challenges of digital surveillance for human rights: Analysis of the app datacovid foreseen in the ministerial order SND/29/2020, of March 27th

The COVID-19 pandemic has demonstrated the fragility of the globalized world and is being fought through a combination of techniques and tools, among which new contact tracing technologies play a fundamental role These new tracking technologies have sparked the current great European debate on privacy One of its manifestations is Order SND/29/2020, of March 27, approved by the Ministry of Health of the Government of Spain, which provides for the development of a website and a contact tracing app DataCOVID This work aims at examining the legality and scope of the measures adopted in the Ministerial Order considering its implications for the respect of the right to privacy and data protection from the perspective of human rights guarantees Copyright © 2020 Carmen Marquez Carrasco, Juan Antonio Ortega Ramirez
TEORI S.R. RANGANATHAN FIVE LAWS OF LIBRARY SCIENCE DALAM PENGEMBANGAN KOLEKSI PERPUSTAKAAN

A Library is an institution in the field of information provider services oriented to the needs of users. Five library laws put forward by S.R. Ranganathan (books are for use, every reader his book, every book its reader, save the time of the reader and the staff, library is a growing organism) has become one of the references in library collections development that are oriented to user needs. Implementation of five library laws according to Ranganathan are (1) Library collections must be regularly evaluated. The results of this evaluation can then be used as a reference in weeding activities. It is intended that each book can be used optimally. (2) A series of procurement procurement proseas that include user analysis, selection, selection, and procurement policies must be oriented to user needs. It aims to make every information that users need available in the library. (3) Accuracy in the processing and display management becomes important in information retrieval. It is intended that every book in the library can be accessed. (4) Libraries must provide easy access to users to get information as effectively and efficiently as possible. This is so that users do not waste time looking for collections in the library. (5) Libraries must adapt to the changing environment that is always developing. The development and fulfillment of a stable source of information aims to keep all parts of the library current and reliable.Keywords: S.R. Ranganathan, five laws of library science, library collections development
THE READING COMPREHENSION STRATEGIES USED BY THE STUDENTS OF SMAN 3 PEMATANGSIANTAR

This thesis entitled “The Reading Comprehension Strategies Used by Students of SMA N 3 Pematangsiantar” is designed to investigate the strategies implemented by the students in comprehending the reading texts and the underlying reasons why the students implemented the strategies as they did. Qualitative research design was conducted as the research method in this study. The subjects of this study were 6 students of grade eleventh at SMA N 3 Pematangsiantar in academic year 2017/2018. Three of the students were identified as the students who have high English ability, while the other three students have low English ability. The data were collected by in-depth interview. The data were analyzed by using Miles, Huberman, and Saldana (2014) data analysis technique. The findings of the study showed that the students implemented 4 strategies in comprehending the reading text, they are (1) Experience, (2) Summarize, (3) Re-read, and (4) Look up the words you don’t know. The underlying reasons of the strategies in comprehending the reading text are different for each strategy. The underlying reason for experience strategy is the reading comprehension facilitation, summary strategy is indicator of comprehension, re-read is the cognitive process, and look up the word you do not know is the lack of vocabulary mastery. Key words: Reading, Reading comprehension, strategies
Feedforward Neural Networks: Cross-Validation of a Break-Out Range Strategy

One main idea guided this research article: can feedforward neural networks (FNN) be used by investors to cross-validate their investment decisions and stock market strategy entry-signals.Therefore, the research question of this study was: how profitable is a break-out strategy if the strategy is cross-validated by a FNN for U.S. stock markets?The study followed a quantitative, quasi-experimental design, regarding in-sample and out-of-sample tests.For the method of analysis, five hidden layers of a FNN were computed, a sigmoidal function, and break-out strategy conditions as well as entry-signals.As a result, the break-out strategy was profitable to trade with a money management strategy; however, the transaction costs had an effect if for the exit strategy the assets were sold at the end of the day.The FNN could only provide cross-validating results if a dichotomies entry-signal variable was added to the model.The study is relevant for portfolio managers and investors, who are interested in a second assessment of their data or market entry decisions through a cross-validation performed by a FNN.
Analysis of women's job offer through entrepreneurship The case of Algeria

The aim of this scientific paper is to highlight the effective role of women working in economic development, especially those working in the entrepreneurial sector, which we see as encouraging at the macro-economic level and at the personal level, by highlighting their potential to help them enter the private labour market, value them and empower their role in the economic arena in order to win this bet to become productive and effective workers at all levels.&#x0D; Through this paper, we will try to highlight the role of Algerian women's contribution to economic development through access to the world of entrepreneurship, and we will also try to find statistics on their success levels at the local and international levels.&#x0D; To achieve our desired goals, we used the statistical approach by analysing some of the statistical data available to us from the World Bank and some important and specialized databases on the same subject.&#x0D; The scientific authenticity of our research paper is highlighted by the added value we have achieved and the results achieved, where the most notable result was that the work of contracting is an achievement that pushes women to achieve economic savings and exceed the threshold of happiness through their ability and self-realization.
THE SMALLER THE BETTER? HETEROGENEITY OF CORPUS, TRAINING SIZE, AND MORPHOLOGICAL TAGGING

Orthographic and morphological heterogeneity of historical texts in premodern Slavic causes many difficulties in pos- and morphological tagging. Existing approaches to these tasks show state-of-the-art results without normalization, but they are still very sensitive to the properties of training data such as genre and origin. In this paper, we investigate to what extent the heterogeneity and size of the training corpus influence the quality of pos tagging and morphological analysis. We observe that UDpipe trained on different parts of the Middle Russian corpus demonstrates a boost in accuracy when using less training data. We resolve this paradox by analyzing the distribution of pos-tags and short words across subcorpora.
Face Recognition from Small Datasets using Kernel Selection of Gabor Features

Recent advances in face recognition are mostly based on deep methods that require large datasets for training. This paper presents a novel method that combines Gabor-features, feature and kernel to achieve comparable performance on smaller datasets.The paper compares different feature methods in this context.The problem tackled in this paper is achieving accurate face recognition with limited computational resources. By “limited computational resources we mean low computational power (i.e. memory, CPU ops) during both system training and evaluation. Noted that we are not competing against deep learning systems in term of accuracy but we provided a middle ground between hand-coded fast feature extraction and learning based deep learning in terms of both speed and accuracy.To achieve this goal, we propose “kernel selection as the main method to reduce the dimensionality of the classification problem faced by the final classifier in the FR system. Kernel is the process of eliminating less important Gabor kernels for classification while keeping the level of accuracy achievable. Kernel differs from traditional feature in measuring the value of complete kernels consisting of several features together. Because of its structured nature, Kernel has the advantage of eliminating the need to evaluate complete Gabor kernels reducing the computational cost of the system compared with traditional feature methods.
Development Of Lectora Inspire Based Learning Media For Human Body Anatomy

The times that show the existence of learning innovations using online devices require learning innovations. The purpose of this research is to develop learning media for human body anatomy based on Lectora Inspire. The method used in research which is research and development (Research &amp; Development). Lectora Inspire is an application that is used to develop instructional media products. In this study, the researchers analyzed that learning human body anatomy based on lectora inspire was still not widely used. Therefore, research on this learning media is quite urgent to do. Researchers provide a different point of view regarding lectora inspire-based learning media. In doing the validation, the researchers tested the material, media and learning validation by experts in their fields. Data were analyzed using quantitative descriptive analysis techniques that were expressed in the distribution of scores and a predetermined category rating scale. The sample used involved students who took part in the learning. Based on the results of the evaluation in the field of material received an average score of 4.19 and categorized as good. Evaluation in the media sector has an average score of 4.31 and is categorized as good, and students' responses in the small group average score of 4.26 are categorized as good. From the results of this study it can be concluded that the Lectora Inspire application is very effective in using learning media, especially human anatomy because it is supported by features that can facilitate the learning process
Model Jaringan Syaraf Tiruan dalam Peramalan Kasus Positif Covid-19 di Indonesia

Mitigation steps to control Covid-19 outbreak in Indonesia need to take. One of those step is forecasting the spread of the disease. This study compare two artificial neural network models in catching the pattern of Covid-19 positive total cases in Indonesia. Data Training used in this study is Indonesian total positive cases of Covid-19 from March 2 until May 26. The next 10 days data become data testing to show the model accuracy in predicting Covid-19 total cases. MLP shows a better prediction comparing to ELM.Three different prediction accuracy measurement is used – MAE, MAPE, and RMSE. All of them shows less value in MLP than in ELM.
The Effectiveness of Anti-Anemia Teenage Cadre Training On Adolescent Knowledge

The method used in this study was the Quasy-experimental method. The research design used in this study was one group (of) pretest posttest design. The number of samples in this study, ranged in age from 16 to 19 y.o from 4 schools in Jayanti PHC, was as many as 40 people. The sampling technique used was purposive sampling technique.The research instrument consisted of a questionnaire about adolescent knowledge in adolescent anemia. Data were analyzed using paired t-test. The results show that there were differences in knowledge scores before and after the training was given. The obtained research significance value (2-tailed) was 0,000 &lt;0.05. There is an influence of anti-anemia teenage cadre training on adolescent knowledge.
Field Evaluation of V2I Connected Vehicle Deployment in Ada County, Idaho: Validating Communication Architecture and Control Technology Readiness

Pacific Northwest Transportation ConsortiumUS Department of TransportationAda County Highway District University of IdahoBoise State University
Metode Pengukuran Volume Perdarahan Pemeriksaan MSCT Kepala pada Kasus Intraserebral Hemmorhage

Background: Intracerebral hemorrhage is bleeding in the brain parenchyma. An accurate measurement of bleeding volume to determine the appropriate medical action. This study to determine the method of measuring the volume of intracerebral hemorrhage in MSCT examination of the head and determine the advantages and disadvantages between the manual method (Broderick, ABC's, Ellipsoid) and the software method (automatic volume, otsu).Methods: This type of descriptive qualitative research with the Literature Review. Data obtained by identifying problems then searching for keywords, looking for several journals sourced from databases such as Google Scholar, Science Direct, Springer. Data analysis by studying theoretically the method of measuring the volume of bleeding methods manually (Broderick, ABC’s, ellipsoid) and using software methods (automatic volume, otsu).Results: The results of measuring the volume of bleeding in the same patient with the manual method (Broderick) produce more bleeding volume (overestimate) that is 8750 mm3 from the 7960 mm3 automatic volume method. The manual method (Broderick, ABC’s, Ellipsoid) uses the ABC / 2 formula and uses 5 mm slice thickness, the automatic volume software method uses 1 mm slice thickness segmentation and technique, while the otsu software method uses 2.5 mm segmentation and slice thickness techniques.Conclusion: The advantages of the manual method (Broderick, ABC’s, ellipsoid) take approximately 1 minute to determine the estimated outcome of the bleeding volume, the weakness is higher in irregular bleeding. The advantages of the software method (automatic volume, otsu) in the use of precise segmentation techniques for accurate volume results, weaknesses are too long in determining the estimated bleeding volume results.
Fault Diagnosis for the Perception Software in Highly Automated Vehicles and Reference Generation Based on World Model

Hu, Y. (2020). Fault Diagnosis for the Perception Software in Highly Automated Vehicles and Reference Generation Based on World Model. Annual Conference of the PHM Society, 12(1), 11. https://doi.org/10.36001/phmconf.2020.v12i1.1142
Intelligent Monitoring System for Crowd Monitoring and Social Distancing with Mask Control

Due to the current COVID situation, there’s a huge need for crowd control as well as efficient social distancing. Security cameras are everywhere but personnel to monitor it are few. In this project, we use crowd counting and detection along with social distancing monitoring which would enable efficient social distancing and control of the crowd intelligently. The lightening of the cumbersome task of the security professionals to monitor and analyze the crowd is done here making smart decisions on their behalf. In addition, masks are essential instruments to prevent a Corona infection; they are essentials for every individual in a crowd. In this project non-facemask wearing people can be detected at public places and an alert send for that particular individual which further helps control COVID infections. Intelligent system achieved by these two tasks will enable informed decision-making, efficient remote monitoring of crowd, proper social distancing and thus achieving safety at essential infrastructures like transport stations, schools, malls, airports, playground, hospitals etc. where tracking multiple cameras at the same time would be a hassle for security professionals. In this project, we propose a deep learning approach to accurately detect crowd above a certain restriction and make sure the individuals abide by wearing masks and social distancing effectively.
INDONESIAN RELATIVE CLAUSES AND ITS SIMILARITIES IN FOREIGN LANGUAGE

This article discusses several points on the topic of Indonesian relative clauses and some foreign languages. The method used in this research is descriptive contrastive analysis. The focus is on finding some results from previous papers on how the languages share similarities and differences as well as how they differ with English. In this case it was found that Indonesian relative clauses are known as being distinctive and different from structured English counterparts. Meanwhile, there is a tendency that relative Indonesian clauses always use passive constructs to relate noun phrases or nouns in complex sentences. Keywords: Relative Clauses, Foreign Language
THE ANALYSIS OF STUDENTS’ DIFFICULTIES IN COMPREHENDING TOEFL READING TEXT AT ISLAMIC UNIVERSITY OF OGAN KOMERING ILIR KAYUAGUNG

The objective of this research is to find the difficult skills in TOEFL reading text faced by the students of English Language Education Study Program of Islamic University of Ogan Komering Ilir Kayuagung. The subject of this research was students English Department Isalamic University Ogan Komering Ilir To conduct this study, the descriptive qualitative was used. To collect the data, TOEFL reading test and interview were used. To analyze the data, data reduction, data display, and drawing conclusion or interpretation. The result of the study showed that students had difficulty finding main idea questions (66.6%), organization ideas (72%), stated detail question (60%), unstated detail question (62%), implied detail question (75%), transition question (74%), reference (56%), vocabulary (54.5%), question about where in the passage (55%), and tone purpose (63%). It was happened because most of the students did not like reading scientific text, had low motivation, and had limitation vocabulary.
Persian Ezafe Recognition Using Transformers and Its Role in Part-Of-Speech Tagging

Ezafe is a grammatical particle in some Iranian languages that links two words together.Regardless of the important information it conveys, it is almost always not indicated in Persian script, resulting in mistakes in reading complex sentences and errors in natural language processing tasks.In this paper, we experiment with different machine learning methods to achieve state-of-the-art results in the task of ezafe recognition.Transformerbased methods, BERT and XLMRoBERTa, achieve the best results, the latter achieving 2.68% F 1 -score more than the previous stateof-the-art.We, moreover, use ezafe information to improve Persian part-of-speech tagging results and show that such information will not be useful to transformer-based methods and explain why that might be the case.
Lattices of Finite Abelian Groups

We study certain lattices constructed from finite abelian groups. We show that such a lattice is eutactic, thereby confirming a conjecture by Böttcher, Eisenbarth, Fukshansky, Garcia, Maharaj. Our methods also yield simpler proofs of two known results: First, such a lattice is strongly eutactic if and only if the abelian group has odd order or is elementary abelian. Second, such a lattice has a basis of minimal vectors, except for the cyclic group of order 4.
Pembangunan Aplikasi Kepegawaian untuk SD Islam Terpadu Yasir Di Cipondoh Tangerang

SDIT Yasir is one of the schools under the management of the Ibnu Rusydi Islamic Education Foundation in Cipondoh, Tangerang. The school that aspires to create Indonesian young generations that resemble Ibnu Rusydi has several obstacles in carrying out daily teaching and learning activities. One of the issues is the teacher and staff data management. Therefore, the PKM team from the Informatics Engineering Department IT PLN intends to help the Yasir SDIT school by designing a web-based application for handling the employees. The application can be used to manage teacher and employee data, monitor teacher and employee attendances, and provide teacher performance assessments.&#x0D; &#x0D; Keywords: SDIT Yasir, PKM, Employee Information System
An Analysis on Entity Recognition and Existence of Images in Video

Humans can effortlessly notice and perceive objects found in a photograph and video. Human visual system is speedy, correct and performs complicated tasks like identifying multiple entities and spot obstacles. An Entity is referred as an object. Object detection in videos entails verifying the presence of an item in image sequences. It is related to many real time appliances like car belief, video surveillance and so forth. The aim of this paper is to investigate and assess the distinctive strategies that are used in item tracking and detection through the usage of video sequences.