Reviewerly/exHarmony huggingface dataset:
WEB-BASED MANAGEMENT OF GOODS DEMAND APPLICATIONS IN THE NUSANTARA FRACTION OF THE OFFICE OF THE DPRD NORTH SUMATRA

The Nusantara Faction is a combination of several parties, namely the United Development Party (PPP), Perindo Party and the National Awakening Party (PKB) which are in charge of running the government. The Nusantara Faction is in the government office of the North Sumatra Province Regional House of Representatives (DPRD-SU). In order to carry out their duties smoothly, the Nusantara Faction requires work goods and equipment. The system for managing demand for goods in the Nusantara Faction is still carried out conventionally, namely data for managing demand for goods still uses paper. The current system still has a shortage of inputting data for managing demand for goods, causing quite a long time. The goal to be achieved is to make it easier for staff who work in the Nusantara Faction in carrying out and managing requests for goods in the Nusantara Faction can be run online. So it is necessary to have a web-based goods demand management application which is expected to be able to overcome the problems that occur in the Nusantara Faction. With this application, it can make it easier to input data for managing demand for goods and provide solutions to overcome problems during the process of inputting data for managing demand for goods.
Repeated Reading as A Technique of Developing Fluency

Abstract: This article aims to discuss the importance of the technique known as “repeated reading” in forming young students’ ability to read quickly and confidently. Keywords: reading fluency, repeated reading, method, word rate, word recognition, motivation.
Spam Filtering On User Feedback Via Text Classification Using Multinomial Naïve Bayes And TF-IDF

User feedback could give developer an information on what should be fixed or should be improved. But there are many user feedback that are actually spam. In user feedback, spam contents are more likely to be an inappropriate feedback, a feedback that is not actually a feedback, just some random comment or even a question. Reading and choosing feedback manually could be costly, especially in terms of time and energy. Therefore, this research focuses in building a spam filtering model using Multinomial Naïve Bayes that implement a TF/IDF approach to detect spam automatically. For text classification, Multinomial Naïve Bayes proved on having better speed and having good performance. With TF/IDF, word that highly occurred in many documents has less impact than other so it could help increasing performance from imbalanced dataset. This research aims to implement Multinomial Naïve Bayes for spam filtering in user feedback and to measure performance of the model. Best performance of this classifier was obtained when using up-sampling method and typo corrector with 70:30 ratio of train and test set resulting in 89.25% for accuracy, 45% for precision, 56% for recall, and 50% for F1-Score.
Analysis of K-Means Algorithm for Clustering of Covid-19 Social Assistance Recipients

During the Covid-19 pandemic, the government provided assistance distributed through each sub-district throughout the province of Indonesia, one of which was the Pahlawan Village in the East Siantar District Pematangsiantar City. So far, the assistance provided by Kelurahan Pahlawan is still done manually, so errors in data collection and distribution of aid may occur. To overcome this problem, a study was carried out by applying the K-Means algorithm to determine the eligibility cluster of Covid-19 beneficiaries, which was carried out by collecting population data according to predetermined attributes. Then the population data will be clustered using the K-Means algorithm and tested using the Rapid Miner application. The clustering results obtained are that cluster 0 consists of 26 data and that cluster 1 consists of 24 data. The recipients of Covid-19 social assistance using the K-Means algorithm show that those entitled to receive the gift are the elderly (elderly). Based on this, it can be concluded that the K-Means Algorithm can be applied to produce more practical information in determining who is entitled to receive assistance
Quantum Codes from (1-2w-2uv)-Constacyclic Codes over the F_q+uF_q+vF_q+wF_q+uvF_q

In this paper, we give construction of quantum codes over F_q from (1-2w-2uv) - constacyclic codes over the F_q+uF_q+vF_q+wF_q+uvF_q, where u^2=u,v^2=v,w^2=w,uv=vu,uw=wu=vw=wv=0, q=p^m and p is an odd prime. We determine the parameters of quantum error correcting codes which constructed from (1-2w-2uv) - constacyclic codes over the F_q+uF_q+vF_q+wF_q+uvF_q.
Decision Support System for Determining the Feasibility of Material Utilization Using the Naïve Bayes Method

A company is engaged in the mechanical and electrical industry in providing goods and services, especially in medium and high power installations. In this company, the data management process carried out is still semi-computer, on a sheet of paper then copied into a computer with the Microsoft Excel application. Every work done by a technician in using material contains materials that are not used up or used materials. The material is then returned to the warehouse to be used as a report which is then carried out by the utilization process. The purpose of this research is to create a system that can assist in providing suggestions for used or used materials in the warehouse for utilization by applying the Naïve Bayes method. Naïve Bayes is a data mining technique with a classification function. This data mining application methodology uses the KDD (Knowledge Discovery in Database) stage starting from the selecting, preprocessing, transformation, data mining, evaluation stages. The testing technique used for data validation uses the k-fold cross-validation technique accompanied by a Confusion Matrix. This research has produced a decision support system application and has been tested with an accuracy rate of 73.33%.
IMPROVING ENGLISH STUDENTS’ READING COMPREHENSION AND LEARNING DIFFICULTY BASED ON SOME VARIABLES

Experimental study in this article is aimed to investigate the effect of reading comprehension improvement for English language students toward their learning difficulty by using the reading speed strategy and identify the effect of gender and teaching method on the improvement of students’ reading comprehension. To achieve the objectives, a test was prepared to measure students’ reading comprehension after ensuring validity and reliability. The study involved 200 English students of the schools registered in Direktorat Pendidikan Wilayah Irbid II in the academic year of 2020/2021. They were 80 males and females, who are selected by using a simple method. The sample was categorized into two experimental groups with training and two control groups with the same material learning in a traditional method. The test was distributed to the groups before applying the strategy to ensure the whole group. The result showed that there are differences between the mean score of experimental group and the mean score of control group, and in favor of the experimental group. The result also showed that there are no differences among the mean score of students, which is attributed to gender.
Флюоритоносность Северо-Востока России

One deposit and 217 occurrences of fluorite, grouped in the fluorite, the rare-metal-fluorite, and the polymetal-fluorite mineral formations, are known in RussiaТs North-East. Occurrences of fluorite formations are most widespread, while the stratiform occurrences in the Urultun-Taskan zone at the Omulevskoye uplift are especially rich in resources. Fluorite occurrences themselves are widespread within the Okhotsk-Chukotka volcanogenic belt. Fluorite-bearing belts, areas, and zones are distinguished. Fluorite minerogenic resources of RussiaТs North-East are estimated.
Secure Selective Image Encryption Technique for Real Time Applications

With the advent of medical imaging tools and telemedicine technology, patient information, medical imaging data is subject to strict data protection and confidentiality requirements.This raises the issue of sending medical image data within an open network due to the above issues, along with the risk of data / information leakage.Potential solutions in the past included the use of information hiding and image encryption techniques.However, these methods can cause problems when trying to restore the original image.In this work, developed an algorithm that protects medical images based on the pixels of interest.Image histogram peak detection for calculating peaks in medical images.Threshold value processed pixels of interest in medical images.The average of all peaks in the histogram indicates the threshold.These pixels are then encoded with interest values using a Sudoku matrix.The proposed scheme will be evaluated using various statistical tests and these results will be compared to existing benchmarks.The results show that the proposed algorithm has better security performance compared to existing image encryption schemes.
Students' Perceptions about The Effectiveness of Micro Teaching Courses Towards The Educational Competence of Kplp Students

The problems found by the researchers are as follows: 1) there are still deficiencies and ineffectiveness of micro teaching courses in providing teaching skills to students, 2) mental and grammatical readiness of Penjaskesrek children are still lacking to face KPLP, 3) pedagogic competencies possessed by students Jaskesrek Academic Year 2019/2020 is still not good.4) there are still many students who have difficulty in preparing teaching materials and the difficulty of using media in learning at school, and 5) the seriousness of students in the teaching and learning process is still low because those who teach in the class are KPLP students.Teaching on the Pedagogic Competence of KPLP Students.The method used is descriptive quantitative research.The population in this study were all sixth semester students for the 2020/2021 academic year.This research was conducted at the Islamic University of Riau.With total saturated sampling technique.The total sample is saturated with the sampling technique when all members of the population are used as samples, while the research sample is 156 students.Students' perceptions of course activities in the KPLP are stated in the Enough category.This is evidenced by the average acquisition of the questionnaire, namely student perceptions of course activities in the KPLP stated in the Enough category.This is evidenced by the average acquisition of the questionnaire, which is 64.10% which is in the range of 60% -74% in the Enough category.Student perceptions of pedagogic competence in KPLP are stated in the Enough category.This is evidenced by the average acquisition of the questionnaire, which is 69.88% which is in the range of 60% -74% in the Enough category.This situation is due to the COVID-19 virus outbreak which has made KPLP activities in FKIP ineffective, especially the PENJASKESREK Study Program.
APPLICATION OF PROFILE MATCHING ALGORITHM IN SELECTION OF THE BEST EMPLOYEES (CASE STUDY: PT VWX)

Giving awards to employees who have advantages and good work performance is one way to increase positive competitiveness among employees in a company. This study aims to find the advantages of each employee to find out which employees excel. Through achievements in the world of work, it can be a benchmark for finding the best employees who deserve awards. Analysis of the data used in this study is sourced from data on sales of property companies for the last three months. This study uses the Profile Matching Method to determine the best employees in property companies. This research was conducted by comparing one employee with another employee candidate based on predetermined criteria. The results of this study are in the form of rankings that show the order of the best employees who are entitled to an award from the company.
Impact of Polarization Phase of Incident Light on In-Plane Spin Splitting of Reflected Beam

In this paper, a physical model is established to reveal the relationship between polarization phase of incident light and in-plane spin splitting (IPSS) of reflected beam, and the impact of polarization phase on the IPSS is systematically investigated.Three interesting features of the effect of polarization phase on IPSS were discovered.Furthermore, it is found that the IPSS can be effectively enhanced and suppressed by adjusting the polarization phase near ±π/2.The enhanced IPSS shift can almost reach its upper limit (that is, half of the beam waist) and the suppressed IPSS shift can be reduced to zero.In addition, it is also found that the spin cumulative direction of spin components can be reversed adjusting the polarization phase at ±π/2.These findings not only provide a deeper insight into photonic spin Hall effect, but also open a path for the photon manipulation, precision metrology and the manufacture of photonic spin switching devices.
Modeling of Innovative Teaching in an Austrian Primary School

The purpose of this research is to understand the integration of innovative teaching and its modeling through teachers' experiences as one of the most advanced approaches to teaching today. Eight teachers of a primary school in Austria were involved in this study. Qualitative methods, with semi-structured interviews, were used in this study. In this study, semi-structured interviews, classroom observations and participation were conducted, during a one-month period. The results of this study illustrate innovative teaching experiences through new models, which have begun to be implemented this year in this school, such as: digital and social competence as a new field, teaching in the studio, combining mathematics with music, learning drama with technology and other subjects, learning in the school's green kindergarten, learning with digital tools, and a series of play-modeled activities which focused on active student participation. Through these models, students learn how to organize the learning process themselves, to choose what will work in accordance with their interests, in order to increase students’ independence in their work and their preparation for the living environment where they grow up.&#x0D; &#x0D; Received: 13 September 2021 / Accepted: 2 February 2022 / Published: 5 March 2022
PEMBUATAN VIDEO TUTORIAL APLIKASI TEKNIK-TEKNIK SENI GRAFIS PADA PENCIPTAAN KARYA UNTUK ANAK SEKOLAH DASAR SELAMA MASA PANDEMI COVID 19

The research with the title Making Video Tutorials for Application of Graphic Art Techniques in Creating Artwork for Elementary School Children During the Covid 19 Pandemic is intended as a response to the situation and conditions in Indonesia which is experiencing the Covid 19 pandemic. To stop the potential spread of Covid 19, the government makes a policy teaching and learning activities are diverted at home. Through this research, the authors want to contribute by making video tutorials on the application of various techniques in graphic arts in the creation of works for elementary school children that can be practiced at home. Graphic art has a wealth of techniques that can be applied in the creation of works for elementary school children. In this study, the authors will focus on relief techniques and stencil techniques. Selected video tutorials for creators as media to be easy to understand, practical, interactive and in line with government regulations during the Covid 19 pandemic to carry out social restrictions and physical distancing. With video tutorials, creators can share the technique of creating this work with more people using social media (via youtube or whatsapp). The artist hopes that with art activities, children can be more comfortable and at home with activities at home because in the activity of creating works of art there are aspects to express pent-up feelings and thoughts. Through art activities, children can communicate what is in their minds and the world around them. Art is believed to have a cathartic function so that it can release tension and pressure while studying at home during the Covid 19 pandemic.Keywords: covid 19 pandemic, graphic art techniques, elementary school children, video tutorials
Information Knowledge Management System

We discuss main formalisations of information and knowledge available in literature. Knowledge is considered as a meaning of data for an actor who can understand and use it. The actor can be a computer, a robot, a human being or even a virus. We make an assumption that the usage of knowledge depends on material data carrier only as much as the latter allows one to perform operations and restricts knowledge processing through capacity and time. This permits one to consider knowledge abstractly. Knowledge handling requires some tools that are called knowledge systems. These systems have different forms and they can be connected in various ways as it follows from the analysed publications. A metrics of knowledge is discussed that reflects the capability of solving problems.
Sistem Pakar untuk Mendeteksi Gejala Awal Penyakit Apendisitis dengan Metode Case Based Reasoning (CBR) Berbasis Mobile Android

Appendicitis is caused by inflammation of the intestines (appenditis). The patient will feel pain in the lower right abdomen. This study explores this with several references, by designing an expert system an application is produced that is used to detect appendicitis. This process can help detect early symptoms starting from the user answering questions in the form of symptoms suffered by the user. The research applies the Case Base Reasoning method in the expert system by detecting the early symptoms of appendicitis using this android-based device. The research aims to add experience to users in finding out the disease they feel by entering the initial symptoms and providing solutions or it can be without consulting the nearest hospital or clinic. The results of the research. This android-based appendicitis expert system aims to help diagnose Appendicitis Inflammatory Disease for children under five and adults based on Android Mobile, and the Appendicitis Disease Diagnosis Expert System that was built to provide information easily starting from understanding, dangers, causal factors, symptoms of the disease and solution only by consulting the system and objectives can help provide a good solution.
Critical Reading Skills of the Descriptive Genre Through E-Learning

It has been found that in reading lectures, students at Bung Hatta University had difficulty understanding the text because they did not know about the genre of the text. This is because students study theory more than they practice reading. The purpose of this research was to describe the critical reading ability of Indonesian Language Education (Pindo) FKIP students at Bung Hatta University by applying the descriptive text genre. Theories proposed by Akaaya, Haromi and Akin were employed. Qualitative and quantitative methods were used. The research subjects were 23 students of the Indonesian Language and Literature Education Study Program, FKIP Bung Hatta University, Padang, class of 2020/2021. The score obtained for making and answering questions was 8.65, determining the structure of descriptive texts was 8.52, determining the structure of exposition texts was 8.60, concluding news texts was 7.78, and commenting on news texts was 7.91. The results showed that overall, the students of Pindo FKIP Bung Hatta University were able to read critically with a score of 8.25, which can be categorized as good.&#x0D; Keywords: descriptive text genre, critical reading, e-learning
Academic Information Systems and Recommendations using AHP at SMA Islamic Center Tangerang

Nowadays, technology is indispensable to solve problems. Technology can facilitate communication without thinking about distance, space, and time. Currently, the advancement of technology is useful for most people in carrying out their activities, especially in the field of education. Islamic Centre High School Tangerang is one of the schools that require information systems to manage data as it still uses the manual method. This research was specifically conducted to assist t Islamic Centre High School Tangerang in building a system for managing school data, so that it can provide recommendations to students to decide on a study program to a higher level of education, as well as to help parents monitoring their children activities. The methodology used in this study is qualitative methods, RAD methodology and the Prototyping method. Meanwhile, the method of recommending study programs for students used the Analytical Hierarchy Process method, that is by comparing the value of criteria consisting of accreditation, majors, grades, and comparison of alternative values consisting of study programs and universities. The system was tested using black box testing method. The result of this study is a web-based academic information systems with recommendation feature. The system can display a ranking of student study program recommendations based on a comparison of criteria and alternative values using the Analytical Hierarchy Process Method
SOCIO-AFFECTIVE STRATEGY USED BY EFL STUDENTS DURING THE COVID-19 PANDEMIC AT SMP MUHAMMADIYAH PALANGKA RAYA

Socio-affective strategies relates to socially The Sample was random sampling technique. This research was conducted in order to determine the learning outcomes obtained quantitatively by conducting a survey of 45 students at SMP Muhammadiyah Palangka Raya. The information was gathered through the use of a questionnaire. The survey found that the majority of students in the speaking class used their own tactics. There were six students studying at the time. This showed that each learning strategy affected the progress of students in the English speaking class. It meant that the students' strategies affected their progress in obtaining learning outcomes in their learning progress while speaking class. In conclusion the most students in speaking class have their own learning strategies. Not only 6 strategies that can affect student learning abilities, but also the others can affect too, such as psychological factors, the role of teachers, assignments, environmental and social factors. Keywords: Socio-Affective Strategy, EFL Learning, Covid-19 Learning
A Secure Blockchain Framework for Storing Historical Text: A Case Study of the Holy Hadith

Historical texts are one of the main pillars for understanding current civilization and are used to reference different aspects. Hadiths are an example of one of the historical texts that should be securely preserved. Due to the expansion of the online resources, fabrications and alterations of fake Hadiths are easily feasible. Therefore, it has become more challenging to authenticate the online available Hadith contents and much harder to keep these authenticated results secure and unmanipulated. In this research, we are using the capabilities of the distributed blockchain technology to securely archive the Hadith and its level of authenticity in a blockchain. We selected a permissioned blockchain customized model in which the main entities approving the level of authenticity of the Hadith are well-established and specialized institutions in the main Islamic countries that can apply their own Hadith validation model. The proposed solution guarantees its integrity using the crowd wisdom represented in the selected nodes in the blockchain, which uses voting algorithms to decide the insertion of any new Hadiths into the database. This technique secures data integrity at any given time. If any organization’s credentials are compromised and used to update the data maliciously, 50% + 1 approval from the whole network nodes will be required. In case of any malicious or misguided information during the state of reaching consensus, the system will self-heal using practical Byzantine Fault Tolerance (pBFT). We evaluated the proposed framework’s read/write performance and found it adequate for the operational requirements.