Reviewerly/exHarmony huggingface dataset:
PENERAPAN METODE WEIGHTED PRODUCT UNTUK PENENTUAN PENERIMA BANSOS KEPADA MASYARAKAT TERDAMPAK COVID-19

Since Covid 19 attacked Indonesia, almost all sectors have been affected. In the education sector, which requires students to study from home (online), in the economic sector the poverty rate is getting higher, many workers have been laid off and some are sent home. The face of the Indonesian economy has become a mess. One of the ways for the government to reduce the impact of the COVID-19 pandemic is to provide social assistance to the community. However, in distributing aid, the distributors are often constrained in prioritizing the recipient community. The mechanisms for distributing aid are complicated and often not well targeted due to inappropriate criteria for beneficiaries and inaccurate / inaccurate data. So that not a few people protested because they did not receive assistance even though they were also affected by the Covid 19 pandemic. The decision support system using the weighted product method was considered capable of finding the highest priority for beneficiaries based on predetermined criteria, namely employment status, home status, domicile, dependents. and income per month. The final result is a rating of vactor V where the alternative which has the highest value has the highest priority to receive assistance.
CHALLENGES IN FACE RECOGNITION TECHNIQUE

Face detection is an application that is able of detecting, track, and recognizing human faces from an angle or video captured by a camera. A lot of advances have been made up in the domain of face recognition for security, identification, and appearance purpose, but still, difficult to able to beat humans alike accuracy. There are various problems in human facial presence such as; lighting conditions, image noise, scale, presentation, etc. Unconstrained face detection remains a difficult problem due to intra-class variations acquired by occlusion, disguise, capricious orientations, facial expressions, age variations…etc. The detection rate of face recognition algorithms is actually low in these conditions. With the popularity of AI in recent years, a mass number of enterprises deployed AI algorithms in absolute life settings. it is complete that face patterns observed by robots depend generally on variations such as pose, light environment, location.
Incorporating Compositionality and Morphology into End-to-End Models

Many neural end-to-end systems today do not rely on syntactic parse trees, as much of the information that parse trees provide is encoded in the parameters of pretrained models.Lessons learned from parsing technologies and from taking a multilingual perspective, however, are still relevant even for end-to-end models.This talk will describe work that relies on compositionality in semantic parsing and in reading comprehension requiring numerical reasoning.We'll then describe a new dataset that requires advances in multilingual modeling, and some approaches designed to better model morphology than off-the-shelf subword models that make some progress on these challenges.
Public Sector Responsiveness in the Strategic Environment Change

Due to the Covid-19 outbreak, Indonesian government assign its civil servants from the high transmission rate area to work from home.Consequently, the bureaucracy sector needs to encourage the utilization of information technology.However, with the new digital environment, other challenges need to be solved by Indonesian public sector, for instance, the lack of digital competency among civil servants, manual working arrangement and inadequate infrastructure to support the digital environment.Therefore, this study wants to answer the question about what the Indonesian public sector should do to manage the internal governance affair to show their responsiveness in answering the strategic environment change.The study aims to give the holistic picture of the problem faced by the public sector in strategic environment change due to Covid-19 pandemic which force them to apply digitalization in the day-to-day business.Moreover, in this study, researcher provide the solution on how the bureaucracy sector should respond to the utilization of digital environment through competencies developments, new working arrangements and infrastructure improvement.Descriptive qualitative method is conducted in this study to generate research result.Data are collected and analyzed using desk study review of various literature, news, government legislation, report and a direct observation of Indonesian civil servants' daily tasks.As a result, the study found that the public sector's effort in response to the internal governance rapid change is not enough.Therefore, the Indonesian government need to change some of the regulations related to working hours, key performance indicator, and performance assessment that supporting digital environment.
AN ANALYSIS OF THE USE CAPITAL LETTERS IN THE INTRODUCTION TO THE THESIS STUDENTS OF PGSD UNIVERSITY OF RIAU

The spelling mistakes look simple, but they will affect the quality of writing and the accuracy of using spelling and are a measure of understanding one's language. Making a mistake is a natural thing, but that does not mean the rules in writing are not considered, especially in the use of capital letters in writing. This study aims to determine the use of capital letters in the thesis introduction for PGSD students at Riau University. The method in this study is a quantitative descriptive method. Of the 13 rules for using capital letters in PUEBI (General Guidelines for Indonesian Spelling), researchers only took 7 rules. The overall average use of capital letters is 86.67 with a very good category.
An etiquette of COVID-19 Law Lab in building Strong health systems

This article analysis rationale behind the COVID-19 Law Lab in strengthening the health system.The coronavirus COVID-19 pandemic is the defining global health crisis and the utmost challenge that we have faced since World War Two.Since its emergence in Wuhan, China, in December 2019, the virus has eventually affected every continent except Antarctica.In an endeavor to set-up a strong legal framework & to manage the coronavirus pandemic across the globe, the World Health Organization (WHO) launched COVID-19 Law Lab that initiates in gathering and sharing legal documents from over 190 countries across the world.The aim is to bring an accomplished law that can help in building a sound health systems in assessing and permitting safe and authentic drugs and vaccines and also in combating to create healthier and safer public spaces and workplaces.The COVID-19 Law Lab allows tracking and evaluate by what means and methods the laws and policies are being used during the Pandemic.It is an important tool for sharing good practices on laws and policies.The article underlines the significance on the law lab that safeguard the health and welfare of individual and society and also hold on to international human rights principles.Further, the paper highlights on the Indian legislative action to control and reduce the pandemic.In addition, the paper aspires in focusing different legal frameworks for COVID-19 in India.
FX Job Recruitment

In this project present a secure and privacy-preserving access control to users, which guarantee any member in a group to anonymously utilize the cloud resource. Moreover, the real identities of data owners can be revealed by the group manager when disputes occur. In this project provide rigorous security analysis, and perform extensive simulations to demonstrate the efficiency of our scheme in terms of storage and computation overhead. Cloud computing provides an economical and efficient solution for sharing group resource among cloud users. Unfortunately, sharing data in a multi-job portal manner while preserving data and identity privacy from an un trusted cloud is still a challenging issue, due to the frequent change of the membership . The major aims of this method a secure multi-owner data sharing scheme. It implies that any user in the group can securely share data with others by the un trusted cloud. This scheme is able to support dynamic groups. Efficiently, specifically, new granted users can directly decrypt data files uploaded before their participation without contacting with data owners. User revocation can be easily achieved through a novel revocation list without updating the secret Keys of the remaining users. The size and computation overhead of encryption are constant and Independent with the number of revoked users. Job portal is developed for creating an interactive job vacancy for candidates. This web application is to be conceived in its current form as a dynamic site-requiring constant updates both from the seekers as well as the companies. On the whole the objective of the project is to enable jobseekers to place their resumes and companies to publish their vacancies.
Factors Influencing the Consumers Adoption of E-commerce in the Agricultural Market

In China, the agriculture economy accounts for 7.2% of the national economy, and the farmer population is about 260 million, agricultural modernization has made significant progress, but its agricultural market has encountered some problems.This research aims to determine the key factors that influence the adoption of e-commerce on agricultural trades in He Nan, China.According to Innovation Diffusion Theory (IDT), the researcher found that many factors significantly affect the consumer's intention to use e-commerce as the dependent variable.Therefore, these factors will be adopted as independent variables in this research: perceived usefulness, ease of use, compatibility, trialability, perceived risks, and reliability.The research was conducted using a convenient sampling under non-probability sampling to save time and cost.A total of 384 completed online questionnaires were collected among consumers in He Nan.Simple regression analysis showed that all factors, namely the perceived usefulness, perceived ease of use, compatibility trialability, perceived risks and reliability, could significantly influence the adoption of agriculture e-commerce in He Nan, China.Thus, policymakers would need to facilitate these factors to speed up the adoption of e-commerce in the agriculture sector.
MENGKATKAN KETERAMPILAN BERBICARA MENGGUNAKAN METODE FREE WHEEL PADA DEBAT SISWA KELAS X SMK AL-WASHLIYAH 8 PERBAUNGAN TAHUN PEMBELAJARAN 2020 - 2021

This research uses classroom action research. learning cycle I students argue based on the specified script. Students do not experience obstacles in linguistic aspects (pressure, speech, vocabulary and sentence structure used) and non-linguistic aspects (courage, fluency). The act of debating the second cycle based on the specified text. Cycle II is more focused on linguistic aspects (pressure, vocabulary and sentence structure) and non-linguistic aspects (fluency and material mastery) which are still lacking. Learning speaking skills through the Free Wheel method is based on a debate script that shows an increase in students' speaking skills. This study aims to improve speaking skills through the Free Wheel method in class X students of Al-Washliyah 8 Senior High School Perbaungan 2020-2021 Academic Year. This type of research is Classroom Action Research (CAR). The subjects of the study were the class X students of Al-Washliyah 8 Perbaungan 2020-2021 Academic Year with a total of 35 students. The object of research is speaking skills. Data collection methods used are observation, testing, and documentation. The data analysis technique used is descriptive qualitative and quantitative descriptive. Improvement is indicated by the results of students' speaking skills scores. The increase occurred namely, (1) the average value of the evaluation cycle I increased by 11.43, from 64.11 to 75.54. The percentage of completeness in the first cycle was 42.86%. (2) the average value of the evaluation cycle II increased by 8.66, from 83.63 to 92.2. The percentage of completeness in the second cycle was 94.29%. So, it can be concluded that after applying the Free Wheel method, students' speaking skills have gradually increased.  Keywords : Escalation,Kompetion, Seaking
Assessment of Item and Test parameters: Cosine Similarity Approach

The paper proposes new measures of difficulty and discriminating values of binary items and test consisting of such items and find their relationships including estimation of test error variance and thereby the test reliability, as per definition using cosine similarities. The measures use entire data. Difficulty value of test and item is defined as function of cosine of the angle between the observed score vector and the maximum possible score vector. Discriminating value of test and an item are taken as coefficient of variation (CV) of test score and item score respectively. Each ranges between 0 and 1 like difficulty value of test and an item. With increase in number of correct answer to an item, item difficulty curve increases and item discriminating curve decreases. The point of intersection of the two curves can be used for item deletion along with other criteria. Cronbach alpha was expressed and computed in terms of discriminating value of test and item. Relationship derived between test discriminating value and test reliability as per theoretical definition. Empirical verifications of proposed measures were undertaken. Future studies suggested.re to enter text.
LEARNING CELL METHOD (LCM) FOR THE TENTH GRADE STUDENTS OF SENIOR HIGH SCHOOL PALEMBANG IN PROMOTING THE STUDENTS’ ENGLISH ACHIEVEMENT

The aim of this study was to find out whether or not study was to find out whether using the learning cell method in teaching narrative text was effective or not to improve the students’ reading comprehension achievement of the tenth-grade students of Karya Ibu Senior High School of Palembang. Thi study applied pre-experiment method. The population of this study was all of the tenth grade students of Karya Ibu Senior High School of Palembang, in the Academic Year 2020/2021 with total number 120 students and 30 students were taken as sampl. In collecting the data, a written test of narrative texts was used, and the data were analyzed by using KR-21 The result of this study showed the students’ mean score in the post-test and pre-test of the test, the matched ttest calculation showed that the value of t-obtained was 21.12. The value of t-table was 1.699. It could be concluded that the value of t-obtained (21.12) was higher than the value of t-table. Then the null hypothesis (Ho) was rejected and the alternative hypothesis (Ha) was accepted. It means that teaching narrative texts through Learning Cell method to promote the students’ reading comprehension achivement of the tenth grade students of Karya Ibu of Palembang was effective. Keywords: Teaching, Narrative Text, Learning Cell method.
SHADOWING MAGIC: AN AMAZING LANGUAGE LEARNING TECHNIQUE IN TEACHING SPEAKING TO NON ENGLISH DEPARTMENT STUDENTS

The objective of this study was to improve the speaking ability of non-English department students of Universitas Singaperbangsa Karawang (UNSIKA)by using the shadowing technique. The method of this research was Classroom Action Research (CAR) that was conducted to the PJKR (Pendidikan Jasmani Kesehatan dan Rekreasi) students at second grade of UNSIKA. The subject of the research consists of twenty-five students. The instruments are spoken test and observation guidelines. The research design applied in this study was a collaborative classroom action research consisting of 2 cycles covering 3 meetings for each cycle. The findings of this study showed the improvement of the students’ speaking ability from the first to the second cycle has improved highly. Where the mean score of vocabulary terms was 2 for the pre-cycle test become 3.28 for the second cycle post-test. Besides that, the mean score of grammar in the pre-cycle test was 1.84 increase 3.08 in the second cycle post-test. Same as the pronunciation term, the student's scores from the pre-cycle test to the second cycle test came up from 1.96 to 3.04. Furthermore, for the students speaking accuracy and fluency, their score also increase from 1.44 became 2.92. This research was successful to improve the students speaking ability by using the shadowing technique.
Exploratory data analysis of crime report

Visualization of data is the appearance of data in a pictographic or graphical form. This form facilitates top management to understand the data visually and get the messages of difficult concepts or identify new patterns. The approach of the personal understanding to handle data; applying diagrams or graphs to reflect vast volumes of complex data is more comfortable than presenting over tables or statements. In this study, we conduct data processing and data visualization for crime report data that occurred in the city of Los Angeles in the range of 2010 to 2017 using R language. The research methodology follows five steps, namely: variables identification, data pre-processing, univariate analysis, bivariate analysis, and multivariate analysis. This paper analyses data related to crime variables, time of occurrence, victims, type of crime, weapons used, distribution, and trends of crime, and the relationship between these variables. As the result shows, by using those methods, we can gain insights, understandings, new patterns, and do visual analytics from the existing data. The variations of crime variables presented in this paper are only a few of the many variations that can be made. Other variations can be performed to get more insights, understandings, and new patterns from the existing data. The methods can be performed on other types of data as well.
Pengembangan Mobile Learning dengan Pendekatan Saintifik untuk Meningkatkan Kemandirian dan Hasil Belajar IPS di Kelas IV SD

The goal of this study is to develop m-learning with a Scientific Approach to Improve Independence and Social Studies Learning Outcomes for Grade IV Elementary School. This study uses the DDD-E model by Ivers &amp; Barron. The subjects of the research were fourth grade students of SDN Pucang 1 Sidoarjo which consisted of 35 students. Data collection techniques in the form of documentation, validation, observation, questionnaires, and tests. The results of the research include: (1) M-learning based on its appearance gets an average score of 3.9, while based on the material it gets an average score of 3.37; (2) The results of the implementation of lesson plans and student’s responses to the use of m-learning were 97.72% with positive response criteria; (3) The analysis results of the independence of students show the results of t-statistics 11,689 &gt; t-table = 2,042, therefore a significant difference between and ; (4) Student learning outcomes show an increase. This study develops the concept of making contextual m-learning and it’s prioritizes the role of students to be independent and active during learning activities.
Learn The Big Picture: Representation Learning for Clustering

Existing supervised models for text clustering find it difficult to directly optimize for clustering results.This is because clustering is a discrete process and it is difficult to estimate meaningful gradient of any discrete function that can drive gradient based optimization algorithms.So, existing supervised clustering algorithms indirectly optimize for some continuous function that approximates the clustering process.We propose a scalable training strategy that directly optimizes for a discrete clustering metric.We train a BERTbased embedding model using our method and evaluate it on two publicly available datasets.We show that our method outperforms another BERT-based embedding model employing Triplet loss and other unsupervised baselines.This suggests that optimizing directly for the clustering outcome indeed yields better representations suitable for clustering.
Thai Sign Language Image Recognition for the Hearing-Impaired using Radial Inverse Force Histogram combined with Max-Min Boundary

Sign language image recognition is also a very interesting research topic. Because it can be applied to help normal people understand and use it as a communication tool for the hearing impaired. The objectives of this research were to: 1) study and analyze Thai Sign Language image recognition image data for hearing impaired, 2) develop Thai Sign Language image recognition system for hearing impaired by using new techniques, and 3) measure the efficiency of Thai sign language image recognition for hearing impaired using Radial Inverse Force Histogram and the Maximum and Minimum boundary values. The results of the research were as follows: 1) The study and analysis of image data of Thai Sign Language Image Recognition In this research, 62,694 sign language images were used, divided into 2 parts: 1) American Sign Language images, which consisted of 36 groups of images, namely 26 groups of letters (AZ) and 10 groups of numbers (0-9), and Part 2) Picture of Thai Sign Language consisting of 61 groups of images, including 44 groups of letters (ก-ฮ), 7 groups of vowels and 10 groups of numbers (0-9). Each group of pictures is rotated, enlarged, and Image promotion There were 6 sub-groups of images in various forms, divided into 2 parts: 70% of the images for training and 30% of the images for testing. 3) The results of measuring the efficiency of image recognition. It is divided into two parts: American Sign Language Image Recognition and Thai Sign Language Image Recognition. Compared with the Angular histogram method, the mean image accuracy was 0.86, the recall of the mean American sign language was 0.91, and the accuracy of the Thai Sign Language was 0.78. The recognition performance for Thai Sign Language images averaged 0.89, while the recognition efficiency was achieved when using radial inverse force histograms in combination with image similarity measurements with maximum-minimum boundary values. Accuracy for Mean American Sign Language was 0.99 and Remembrance for Mean American Sign was 1.00, while Accuracy for Mean Thai Sign Language was 0.89. Mean Remembrance for Thai Sign Language was 0.96. The results of the visual recognition performance measurement of both the American Sign Language and the Thai Sign Language images were very good compared to the Angular Histogram method.
Peningkatan Prestasi Belajar IPA Dengan Strategi Mengoptimalkan Media Gambar Dan Audiovisual Di Kelas V SDIT Harapan Bunda Purwokerto

&lt;em&gt;The paper describe about result from classroom action research is based on the low student learning scores&lt;/em&gt;&lt;em&gt; on science subject on grade V SDIT Harapan Bunda Purwokerto. The author tries to examine the causes of the low students achievement and find a problem solving. The subject matter of this study is guite simple, namely the optimization strategy of image and audio visual media to determine the improvement of student learning result in science subject about blood circulation. This research was carried out in two cycles that were preceded by a pre-cycle, carried out in September 2016. Cycle 1 was carried out on September 5, 2016 and cycle 2 wa carried out on September 26, 2016. In the first and second cycles, the strategy used was the strategy of optimizing image media and audiovisual media. The result showed an increase student achievement. It is evident from the average valueof class in the initial conditions is 70,0, in the first cycle is 76,2 and the second cycle is 88,1&lt;/em&gt;