Reviewerly/exHarmony huggingface dataset:
REPOSITORI DPR RI DALAM RANGKA MENDUKUNG PUSAT DATA PARLEMEN

A work/product of a state institution is one of the elements of cultural wealth that should be preserved and handled properly. This is done so that the historical value and information contained can be passed on to the next young generation. For this reason, the Library of the Parliament of Indonesia as a special library of The House of Representatives of the Republic of Indonesia (DPR RI), seeks to carry out its role as a collector/deposit of products of the DPR RI, the Secretariat General and the Expertise Body of the Indonesian House of Representatives (Secretariat General and BK DPR RI), by building a Repository DPR. However, in the development of the Repository DPR, the library faces obstacles in adding the number of product that can be included in the Repository DPR. The purpose of this paper is how to provide information and build awareness of the importance of the Repository DPR to the DPR RI, Secretariat General and BK DPR RI. The method used in this paper is a description of case studies and reference studies on the implementation of the Regulation of Secretariat General of DPR RI Number 11 of 2017 concerning Repository DPR. The type and source of data used are a brief report on Repository development activities.
Online Learning Implementation at Public Elementary Schools in Urban Outskirts

This research is caused by online learning conducted by public elementary school in suburban areas. Online learning is carried out because the “Covid-19” virus outbreak has become a disaster in the world of education. Online learning requires several facilities such as an internet signal and a smartphone. This facility becomes a problem if an area experiences internet problems. This research is a qualitative descriptive study of phenomenology. The subjects in this study were teachers, parents, and fourth grade students. Data collection used is interviews, observation, and documentation. The data analysis used was data reduction, data presentation and conclusion drawing.The results of this study indicate that the implementation of online learning in grade IV public elementary school in suburban areas during the “Covid-19” pandemic was shown based on input, process, and output indicators. This can be seen from the input indicator, namely the application of teacher characteristics, namely motivation, fostering enthusiasm, and mastering technology, communication. The learning facilities used by students include cellphones/smartphones, internet networks, and the cost of buying internet data packages. Process indicators are related to the allocation of teacher time, namely managing time effectively. The application of time allocation for students is to take advantage of time tolerance in completing tasks. The output indicator is related to student learning outcomes. The application of changes in student attitudes is to be more motivating, disciplining, and timely in submitting assignments.
Android Mobile Learning: MIT App Inventor dan Pengembangannya pada Pembelajaran Matematika

This study aims to develop mobile mathematics learning media using App Inventor 2. Development using App Inventor 2 will make it easy to access learning because this application is android in nature. The development procedure that will be carried out by the author is using 4D. The data collection techniques I use are interviews, questionnaires and tests. The data processing technique I use is the effect size test. The result of this research is a product, namely mobile learning, which refers to the modified research and development design of the 4D development model. From the results of research using mobile learning with App Inventor 2 student learning outcomes have increased more than before. App Inventor 2 is an application that can be accessed anywhere and anytime it really helps students learn to understand the material first before being taught in class. So, it can be concluded that the media developed by the author is feasible and effective to be used as teaching material to help students in the learning process.
Decision Support System Determines The Quality Of The House In Pringsewu District Using The WASPAS Method

The quality of the Flats is a concern of every citizen and related health offices who need healthy flats. To determine the quality of a flat is declared healthy or unhealthy, three criteria are used, including: housing components, housing facilities, and behavior. In this study, 5 samples were used to determine the quality of the flats, from the calculation results obtained 2 houses that were declared healthy and 3 houses were declared unhealthy. The WASPAS method is applied to determine the quality priority of healthy flats. In this study, researchers used several criteria including area, environment, infrastructure, location, security. The alternatives in this study are, Flat A, Flat B, Flat C, Flat D and Flat E. From these calculations, the results obtained from the analysis determine a healthy apartment using the WASPAS (Weight Aggregated Sum Product Assessment) method. The following: 1. Flat A gets a score of 6.0144, 2. Flat B gets a score of 6.0117, 3. Flat C gets a score of 5.5871, 4. Flat E gets a score of 5.1253. 5. Apartment D received a score of 4,8253.5.&#x0D; From the calculation results, the WASPAS method can be an input for the related health offices to follow up on the priority of healthy flats so that it is easier for people to choose healthy flats.
Optimizing Machine Translation to Overcome Mechanical Engineering Vocational Education Students Difficulties in Academic Writing

Background:&#x0D; Machine translation has been proved to be a favourable style to execute. However, some research evidence difficulties indicates that its focus is on students' difficulties in academic writing, not on how to overcome them by using machine translation. As a result, this research aims to determine how machine translation might be optimized to help mechanical engineering vocational education students with academic writing difficulties.&#x0D; Methodology: &#x0D; The data was collected from 27 second-semester mechanical engineering vocational education students currently enrolled in an English college course at one of the Universities in Jakarta. Questionnaires online were used to obtain the data, which was analyzed and interpreted descriptively. Questionnaire 1 is used to determine whether or not the subject utilized machine translation and, if so, what type of machine translation they used most frequently. Question 2 was split into two sections. PART A was modified from Xiao &amp; Chen (2015), who described students' challenges with academic writing. It comprises 12 items that were delivered to 27 students via Google Form. Meanwhile, the findings of Lee (2020) have been adapted into PART B.&#x0D; Findings: &#x0D; The result of this study revealed that 27 students of mechanical engineering vocational education in one of the Universities in Jakarta encountered several academic writing difficulties such as grammar (construct grammatically correct sentences, the use of appropriate tenses), expressions (discourse markers, part of speech), and vocabulary (proper vocabulary choices and finding synonyms). Grammar problems are the most challenging, followed by vocabulary and phrases. The optimization of machine translation was also discovered to be the most effective way of overcoming vocabulary issues followed by grammar and expression.&#x0D; Conclusion: &#x0D; Academic writing issues emerge in the classroom. According to the findings, the most difficulties students encountered fell into the grammar aspect. On the other hand, the students considered that machine translation would be the most helpful in overcoming their vocabulary challenges. Although machine translation helps deal with academic writing difficulties like developing vocabulary skills, increasing knowledge of grammar rules in context, and finding more authentic expression, teachers should also guide them in writing academically.&#x0D; Keywords: optimizing machine translation; academic writing difficulties; grammar; vocabulary; expressions.
Algoritma Apriori Untuk Penentuan Assosiasi Penjualan Barang

The increasing of selling basic needs make the company has to provide a lot of goods. The data will be growing up with increasing the transaction at Sari Bumi store. All this time, the selling basic needs at Sari Bumi Store unstructured well so that needed an application with produce important information that can decide marketing strategies. In this research, Apriori algorithm is used to determine association rules. This method was chosen because it is one of the classic data mining algorithms to look for patterns of relationships between one or more items in one dataset. A priori algorithms can help companies in developing marketing strategies. The result of this research is combination between 4 item set with a minimum support of 30% and minimum confidence of 60%.Keywords: sale, staple, apriori algorithm
Pemahaman dan kemampuan siswa sekolah menengah pertama dalam menulis surat dinas berdasarkan struktur surat

Teaching materials regarding an official letter of request for permission prepared by students have several mistakes, namely in determining the composition of the official letter. Weak skills in compiling official letters for junior high school (SMP) students are thought to be caused by their low understanding and ability to write official letters. So this study aims to analyze the understanding and ability of junior high school level students in writing official letters. This research method is a quantitative method. The number of samples in this study was 60 students. The research instrument used was the official letter writing test. The results showed that generally, the level of ability to write official letters of students was in the sufficient category. So that there needs to be more special attention from the teacher to improve the understanding and ability of junior high school students in compiling official letters based on the structure of the letter.
A Computer-Assisted Collaborative Reading Model to Improve Reading Fluency of EFL Learners in Continuous Learning Programs in Saudi Universities

Reading is not synonymous to comprehension; rather it is a prerequisite that doesn't, by itself, guarantee comprehension.This is to say that being efficient in decoding letters, syllables and whole words and recognizing vocabulary does not ensure natural r automatic comprehension.Fluency seems to be the bridge between the mastery of the mechanics of reading and the dynamics of comprehension.Abundant research exists that explores how to improve reading skills of EFL learners at Saudi universities.However little, if any, of this array of research sought to discern the potential effects of educational technology on the fluency of struggling readers in continuous learning programs.To fill this gap, this study seeks to probe the multi dimensions of the problem and suggest ways to solve it.For this purpose, 24 EFL lecturers from three Saudi universities were selected and interviewed.A suggested computer-assisted collaborative reading model was put forth to be applied in the three universities.Students were diagnosed by their instructors as gaining relatively enough grasp of decoding skills at the multilevels of orthographic knowledge, mono and polysyllabic words, but exhibit slow and inaccurate reading indicating reprehensive symptoms for a fluency problem.The lecturers explained that the disappointment resulting from learners' inability to reach comprehension despite mastering decoding skills influences their attitudes towards reading and language learning, bringing about reading apathy and low self-esteem.The proposed model is designed to enhance reading fluency which is perceived as the underlying problem that makes the reader struggle.It is to be delivered partly individually and partly collaboratively online.Collaboration also is operated via face to face instruction especially in teaching the reading strategy.In doing so, the procedures followed are in line with the blended learning.The findings indicate clearly that the proposed model was successfully used to improve reading fluency through accelerating the different reading subskills for decoding and create positive attitudes toward reading.The results highlight the importance of establishing a level of automaticity that gives rise to the higher skills of comprehension.
Three Authentication Schemes without Secrecy over Finite Fields and Galois Rings

We provide three new authentication schemes without secrecy. The first two on finite fields and Galois rings, using Gray map for this link. The third construction is based on Galois rings. The main achievement in this work is to obtain optimal impersonation and substitution probabilities in the schemes. Additionally, in the first and second scheme, we simplify the source space and obtain a better relationship between the size of the message space and the key space than the one given in a recent paper. Finally, we provide a third scheme on Galois rings.
Methods of reducing the obstacles facing families of Quadriplegia patients from the viewpoint of families and social workers: أساليب الحد من المعوقات التي تواجه أسر ذوي الشلل الرباعي من وجهة نظر الأسر والأخصائيين الاجتماعيين

The study aimed to know the methods of reducing the obstacles facing the families of quadriplegic patients in the Kingdom of Saudi Arabia from their point of view and from the point of view of social workers. To achieve the goal of the study, the researcher used the Social Survey Methodology, and the study sample consisted of (120) of the families of quadriplegic patients, in addition to (70) social workers, and the researcher used the questionnaire as a study tool. The results of the study showed that the families of those with quadriplegia agree to methods of reducing obstacles that confront them with an average of (4.08) and that the most important of these methods are as follows: Increasing the social worker’s awareness of the professional intervention methods during the crisis, the need for the social worker to understand the tasks that he must perform towards the families of quadriplegic patients, educating the families of the importance of the social worker’s intervention and revealing the problems they face, especially social and economic, providing training courses for the specialist on support methods for families of quadriplegia patients. The results of the study also showed the approval of the social workers on methods to reduce the obstacles facing families of quadriplegia patients with an average of (4.04), and the most important of these methods are the following: Increased awareness of the social worker with methods of professional intervention during the crisis, the need for the social worker to understand the tasks that he must perform towards the families of quadriplegic patients, Sensitizing families on the importance of social worker intervention and revealing problems they face, especially social and economic, providing training courses for the specialist on methods of support for families of quadriplegia patients.
Implementation of Deep Learning on Number Recognition in Sign Language

Measuring the wound area in diabetics is still using a manual way with a wound ruler. Whereas the ruler affixed to the wound will become a contaminated agent that can transmit the infection to other recipients. Digital measurement methods are needed to solve the problem. However, clarifying the boundaries between the wound and the skin requires carefulness and high accuracy. For this reason, it has needed an imaging method that can do segmentation between the wound and the skin boundary for diabetic patients based on digital, called digital planimetry. This study uses a masking contour image processing algorithm from the Hue, Saturation, Value (HSV), Then doing iteration five times and gamma filter. So the result of segmentation is formed. This study concludes that the segmentation with this method has not been able to perform the segment properly, and it requires more masking values, but the results of the 5th iteration got a minor error, which is 0.002%. The digital imaging carried out in this study could be developed to be a digital-based diabetic patient wound measurement tool.
THE ROLE OF THE INTERNAL AUDITOR IN INCREASING THE EFFECTIVENESS OF ENVIRONMENTAL PERFORMANCE TO ACHIEVE ECONOMIC DEVELOPMENT A FIELD STUDY ON SOME OIL COMPANIES

The study aims to study the thesis to determine the role of the internal auditor and to explain the impact of this on the effectiveness of environmental performance to achieve the goals of economic development, and the study was conducted on a sample of (100) workers from the oil sector companies in the Arab Republic of Egypt and statistical analysis was used in order to ensure the validity of the study hypotheses . The study reached the following results: • There is a significant relationship with statistical significance between activating the internal auditor's role and his environmental auditing and risks, and the first hypothesis was accepted. • There is a significant relationship with statistical significance between the role of the internal auditor and increasing the effectiveness of environmental performance. The second hypothesis was accepted. • There is a significant relationship with statistical significance between increasing the effectiveness of environmental performance and achieving economic development goals, and the third hypothesis was accepted. • There is a significant relationship with statistical significance between the role of the internal auditor as an independent variable and between increasing the effectiveness of environmental performance as an intermediate variable and achieving economic development goals as a dependent variable, and the fourth hypothesis was accepted. • There is a significant relationship with statistical significance between the academic Scientific and practical qualification of internal auditors and achieving sustainable development, and the fifth hypothesis was accepted. The most important recommendations of the researcher include the following: Among the most important recommendations that researchers offer are the following: The results showed the positive impact of the role of the internal auditor in increasing the effectiveness of the environmental performance, which is reflected positively on the goals of economic development. Therefore, the researcher recommends activating the role of the internal auditor in oil companies by following the following: • The internal audit performance must be developed to activate its role in environmental performance auditing. • We recommend the independence of the internal audit and its reporting to the Board of Directors to rely on the objectivity it assesses and the reports it provides on actual performance. • The researcher recommends continuous evaluation of the effectiveness of environmental performance by internal review. • The researcher recommends enabling the effectiveness of environmental performance to improve the level of the international classification for Egypt. • The researcher recommends the interest of oil companies to develop workers in the internal audit scientifically and to upgrade their educational qualifications and the presence of incentives and participation from the company in completing its scientific path.
Development of Dekstop Based Customer Data Information System (Case Study: PDAM Tirta Fulawan Siemeulue Barat)

The purpose of this research is to find out and information systems that are running at PDAM Tirta Fulawan, West Simeulue District, and to create an application for customer data management, payment, and meter installation to simplify and speed up the data collection process. From the results of research and observations that have been carried out at PDAM Tirta Fulawan, West Simeulue District, it can be concluded that with this customer information system in PDAM Tirta Fulawan, West Simeulue District, information becomes precise and accurate, especially in the service section, and to obtain information These customers become easier, this information system is able to solve problems that often occur in PDAM Tirta Fulawan, West Simeulue District, namely it is difficult to control and supervise customer data and account payments which can avoid delays in making reports every year and for a certain period, and the creation of a system program information in order to obtain quality information.
Read, Encode, Annotate and Ponder (REAP) on Reading Comprehension

The main purpose of this study was to find out the effect of Read, Encode, Annotate and Ponder (REAP) strategy towards the students' reading comprehension.It helps students comprehend the text by connecting a text with their own words to enable them to communicate their understanding of the text.This research was quasi experimental research, the subjects were 51 students, divided into 22 students of control group and 29 students of experimental group was consisting.The data was analyzed by using independent t-test, the experimental class got higher score than control class.The mean score of experimental class was 80.34.The mean score for experimental class was 73.41 with the maximal score was 80 and the minimal score was 65.Based on the result of the t-test analysis was 0.000 that made REAP strategy effective on students reading comprehension to think more deeply about what they have read and get the gist of the text.Based on the result of the research, it could be concluded that the students who were taught by using REAP strategy gave the positive effect on students' reading comprehension.This strategy is recommended to use in teaching reading comprehension.
An Integrated Approach Using Optimized Naive Bayes Classifier and Optical Flow Orientation for Video Object Retrieval

The popularity of video recordings either on mobile devices or video surveillance has contributed to the demand for video data applications.As a result, the management of video has become significant in the object retrieval process.However, the video object retrieval is considered as a major issue in the video objects management.This paper proposes an integrated optimization-based classifier for video object retrieval.Here, the input video is subjected to optical flow estimation using a spatio-temporal feature descriptor, named Histograms of Optical Flow Orientation and Magnitude (HOFM) for extracting the events and establishing the HOFM indexed database using the detected objects.Hence, object tracking is a major step, which detects and tracks the video objects using a hybrid model named Nearest Search Algorithm-Support Vector Regression (NSA-SVR).For the video retrieval, the training of Naive Bayes (NB) classifier is performed using the proposed Lion-Salp Swarm Algorithm (LSSA) on the indexed database of the tracked objects.Then, the recognized events interrelated to the query are subjected to the Naive Bayes classifier to retrieve the required video.The performance of the proposed integrated LSSA-Naive Bayes Classifier is found to be better than the existing methods with maximal precision of 82.985 percent, recall of 87.451 percent, and F-measure of 87.847 percent.