Reviewerly/exHarmony huggingface dataset:
Pengaruh Metode Copy The Master terhadap Keterampilan Membaca Puisi Siswa Kelas VII MTs PAB 2 Sampali

This research was conducted to find out how "The Effect of Copy The Master's Method on Poetry Reading Skills of Class VII MTs PAB 2 Students". The location of this research was carried out at MTs PAB 2 Sampali Jalan. Black Market No. 69 Sampali Kec. Percut Sei Tuan. The population of this study were all classes VII-1 and VII-4 which amounted to 140 people. The experimental class or class that uses the Copy The Master method is class VII-1 with 35 students, while the control class or class without using the Copy The Master method is class VII-2 with 35 students. The method used in this research is the experimental method. In this research, a test instrument is used in the form of a poetry reading practice test. After calculating and processing the data carried out in the experimental class, the highest score was 11 people with a score of 70-84 and the lowest score was 10 people with a score of 70 and an average of 75.30 (good). While in the control class, the highest score was 1 student with a score of 70-84 and the lowest score was 1 student with a value of 0-49 and an average of 57.13 (enough). From the above results, we get tcount &gt; ttable (6.98 &gt; 1.71). Thus Ha is accepted. So in other words, the effect of the Copy The Master method on the poetry reading skills of class VII MTs PAB 2 Sampali students.
Prediksi Kelancaran Piutang Pelanggan pada PT. Citra Ina Feedmill dengan Menggunakan Algoritma Naïve Bayes dan K-Nearest Neighbors

Giving credit to customers is a solution that is often done by business actors today, such as companies. By offering credit solutions, companies can attract potential customers and make it easier for customers to make payments. However, being able to provide credit to customers can cause losses for the company when customers are unable to pay their periodic credits. For this reason, in this study an analysis was carried out to categorize customer payment capabilities using the Naïve Bayes Algorithm and the K-Nearest Neighbors Algorithm. The results of the study, obtained the best data mining model to predict the age classification of customer receivables using the KNN algorithm which is optimized with a feature selection algorithm with an accuracy of 99%.&#x0D; &#x0D; Keywords: algorithm, data mining, KNN, Naïve Bayes, customer receivables
Sosialisasi Pembuatan Pupuk Organik dari Limbah Kulit Kakao kepada para Petani di Kelurahan Tegalrejo Kabupaten Poso

Hasanuddin University presents the 107th Thematic KKN with the theme "Optimizing the Role of Unhas Community Service Students in the Community Service Program in the 2021 New Normal Period". Based on field observations that have been carried out in Tegalrejo Village, most of the people make a living as farmers, especially cocoa plants. However, the cocoa farmers only use the cocoa beans and the waste of the skin from the cocoa is left alone. Cocoa husk waste that is produced if not handled properly will be a problem for the environment. One solution that can be done to reduce cocoa waste is to make organic fertilizer from cocoa husk waste. The target of this work program is the farmers in Tegalrejo Village, Poso Regency. The method used is to make organic fertilizer directly from cocoa husk waste. The results obtained are that people know how to make organic fertilizer from cocoa waste and reduce environmental pollution due to the large amount of unused cocoa shell waste
Importance of Available Information Sources for Users: The Case of Fadis and Mechara Agricultural Research Centers, Ethiopia

This study was conducted to examine the importance of available information sources for users of Fadis and Mechara Agricultural Research Centers, in East and West Hararghe Zones, Ethiopia. The study went further to investigate the perceived effectiveness and efficiency of the available information services in the study areas. No study has been done on this topic in these study areas. Questionnaire was used as a data collection tool along with observation checklist and focus group discussion guide. Questionnaire was distributed to entire (63) agricultural researchers of the two research centers for data collection. The collected data was analyzed using descriptive statistics and content analysis. The findings of this study revealed that research paper, mobile phone were the most commonly used sources (98.4%), followed by textbooks (96.8%), farmers, friends, acquaintances (95.2%). The availability, accessibility and usability of information sources was moderate to low in the study areas. Therefore, efforts need to be made to improve the usefulness of the available information sources at the study areas.
Pembelajaran Bahasa dan Sastra Indonesia di SD 114 Bojongkoneng Bandung

Learning Indonesian is essentially recognizing students about good and correct Indonesian language skills according to their goals and functions. Indonesian language subjects aim for students to have the ability to communicate effectively and efficiently, both orally and in writing, to be proud to use Indonesian as the language of unity and the language of the state, to understand Indonesian and to use it appropriately and correctly for various purposes, to use Indonesian to communicate improve the ability to communicate intellectually, emotionally and socially, use and utilize literary works to broaden horizons, character, and improve knowledge and language skills, and appreciate and be proud of Indonesian literature
DAMPAK PANDEMI COVID-19 TERHADAP KESALAHAN BERBAHASA PADA TEKS ILMIAH MAHASISWA IAIN BONE

The study aims to describe the error of Indonesian done the student at covid-19 pandemic. This research is a descriptive type. The source of the data in this study are the student of IAIN Bone. The instruments used in this research include observation sheets, reading, and note-taking techniques. Analytical techniques used in analyzing data-error language i.e. qualitative data analysis techniques. The results of this research show that there were errors in using Indonesian, which include standard words, phonological, morphological, syntactic, and percentage of the language error diagram. The advice of this research, the lecturer or the teacher can use the results of the analysis on language errors made by students as reflection of learning.
Intuitionistic Propositional Calculus in the Extended Framework with Modal Operator. Part II

Summary This paper is a continuation of Inoué [5]. As already mentioned in the paper, a number of intuitionistic provable formulas are given with a Hilbert-style proof. For that, we make use of a family of intuitionistic deduction theorems, which are also presented in this paper by means of Mizar system [2], [1]. Our axiom system of intuitionistic propositional logic IPC is based on the propositional subsystem of H 1 - IQC in Troelstra and van Dalen [6, p. 68]. We also owe Heyting [4] and van Dalen [7]. Our treatment of a set-theoretic intuitionistic deduction theorem is due to Agata Darmochwał’s Mizar article “Calculus of Quantifiers. Deduction Theorem” [3].
Kesalahan Penggunaan Huruf Kapital dan Tanda Baca dalam Menulis Tegak Bersambung pada Tema 6 SD Negeri Jombang 05 Kabupaten Jember

This study aims to determine the percentage and the factors that influence the use of capital letters, punctuation, and cursive writing errors for second grade students of SD Negeri Jombang 05 Jember. The title of this research is the Error in Using Capital Letters and Punctuation in Upright Concatenated Writing on Theme 6 Class II SD Negeri Jombang 05 Jember Regency. The background of this research is that in cursive writing there are still students' language errors, namely the use of capital letters, punctuation marks, and cursive writing.&#x0D; This type of research design is qualitative research, while the type of research used is descriptive research. The method used is the interview and documentation method. Data analysis techniques consist of: (1) data reduction; (2) data presentation; and (3) drawing conclusions. The subjects of this study were the second grade students of SD Negeri Jombang 05, Jember Regency, totaling 19 students, 11 male students and 8 female students.The results and discussion in this study indicate that the types of errors consist of: Errors in the use of capital letters in the ability to write cursive are included in the low category with a percentage of 19.84%. Errors in the use of punctuation marks on the ability to write in cursive are included in the low category with a percentage of 25.26%. Writing errors in the form of letters in the ability to write in cursive are included in the very low category with a percentage of 5.16%. The factors that cause errors made by students in the use of capital letters, punctuation marks, and cursive writing are errors and mistakes. The conclusion of this study is that the errors in the use of capital letters, punctuation marks, and writing in cursive, cursive, and overall students are still low.
PROGRAM TAMAN BACA CAHAYA DALAM MENINGKATKAN MINAT BACA MASYARAKAT

The COVID-19 pandemic has forced schools to study at home or study remotely. The Taman Baca Cahaya program aims to increase learning motivation and interest in reading while studying online (online). This program was implemented in a Cahaya Darussalam Housing RW.015/RT.002, Cijengkol Village, Setu District, on February 24-27 2022 called Taman Baca Cahaya. This dedication method uses participation action research. The creation and empowerment of Taman Baca Cahaya is planned for social reflection, participatory planning, and program implementation. The results of this service increase interest in reading and reduce the use of gadgets in children, a means of exchanging information, advancing the world of education and can be a motivation for children to develop reading and thinking skills to face future challenges.
Two-Phase Open-Domain Question Answering System

Text-based Internet content is increasing at a very rapid rate day by day. As a result, even the best search engines are struggling to retrieve the exact expected results of users’ queries. On many occasions, the users’ expected result is embedded and scattered in a number of different documents and conventional search engines are unable to pinpoint it. To address this shortcoming, this study proposes a two-phased question answering system that utilizes a K-means clustering algorithm alongside the T5 deep encoder-decoder model to formulate a concise short answer to users’ queries. The proposed system has been trained using the Kaggle QA and SQuAD datasets and achieved the maximum F1-score of 0.564 and a minimum loss of 8.56.
Pelatihan Pembuatan Poster Edukasi Dan Koleksi Museum Bagi Anggota Ikatan Pemandu Museum Indonesia (IPMI)

Museums are one of the tourist destinations, especially educational and cultural tourism for the community. All resources in the museum including museum guides have an important role. In addition to being a guide, museum guide, and providing services for visitors, museum guides must also have other skills in communicating material or all things in the museum, including communicating in the form of posters that can be published. For two years, the world has been hit by the COVID-19 pandemic, and Indonesia is no exception. This pandemic has had a wide impact on all sectors of people's lives, including education and tourism. In 2022, the Ministry of Tourism and Creative Economy begins to launch a program to revive the slumped tourism industry. The Indonesian Museum Guides Association (IPMI) as a unifying forum and communication between museum guides in Indonesia welcomed this. One of them is by synergizing with Bina Sarana Informatika University in community service activities. In this activity, the lecturers who are members of the community service group help partners to provide training on making educational posters and museum collections for museum guides. This method of implementing Community Service activities is carried out online, through the zoom meeting application, due to the current pandemic situation in PPKM Level 3 status, so mass gathering in large numbers is not possible. The outputs of this activity include press releases and questionnaire results from both partners and participants.
KERMIT for Sentiment Analysis in Italian Healthcare Reviews

Masked language modeling (MLM) pre-training methods such as BERT corrupt the input by replacing some tokens with [MASK] and then train a model to reconstruct the original tokens.While they produce good results when transferred to downstream NLP tasks, they generally require large amounts of compute to be effective.As an alternative, we propose a more sample-efficient pre-training task called replaced token detection.Instead of masking the input, our approach corrupts it by replacing some tokens with plausible alternatives sampled from a small generator network.Then, instead of training a model that predicts the original identities of the corrupted tokens, we train a discriminative model that predicts whether each token in the corrupted input was replaced by a generator sample or not.Thorough experiments demonstrate this new pre-training task is more efficient than MLM because the task is defined over all input tokens rather than just the small subset that was masked out.As a result, the contextual representations learned by our approach substantially outperform the ones learned by BERT given the same model size, data, and compute.The gains are particularly strong for small models; for example, we train a model on one GPU for 4 days that outperforms GPT (trained using 30x more compute) on the GLUE natural language understanding benchmark.Our approach also works well at scale, where it performs comparably to RoBERTa and XLNet while using less than 1/4 of their compute and outperforms them when using the same amount of compute.
THE USE OF DISCITE APP TOOL IN ENGLISH TEST

AHMAD MUQTADIR 2022. The Use of Discite App Tool in English Test (Descriptive Quantitative Research). A Thesis of English Education Department. Faculty of Teacher Training and Education, Muhammadiyah University of Makassar. Supervised by Erwin Akib and Yassir Malappiang.&#x0D; This research aimed to find out how multimedia Discite app tool is used in evaluating students’ english test and also the students’ response toward Discite app tool. The subjects of this research we the English teacher at the ninth grade and the students of the ninth grade students. It was chosen by using cluster sampling. The design of this study was descriptive quantitative. The instruments of this research were English Test, Observation and Questionnaires. &#x0D; The result of the data indicated that, first the value 90% is obtained as a percentage of the results of validation by the English teacher on the product. With this result, conclusions can be made about feasibility of English test developed by using Multimedia Authoring Tool. The feasibility of the product is very good or very interesting to be implemented in test. In general, the English teacher assess that the media is suitable for use. As for the advice, the test needs to add some picture because some of them are still not clear enough. Then it can make the test more interested and easy to answer.&#x0D; Second, The results of assessment from the students toward the product above show that the average value is 95%. In this process the students looked enthusiast in answering the test. They could know their answer was correct or incorrect after click submit button, it made them motivated more to answer the next question. Besides, some students feel uncomfortable with picture, combination colour and the instruction. By trial and testing with students in class the researcher found some parts need to be corrected in the product. The parts need to be corrected are combination colour, more instruction and need more picture to make it more interested.
The Student’s Reading Problems In Private School In Pematangsiantar

The aims of writing this paper is to explain the problems of students in reading and find the factors that influence high school students in reading English well. This study uses a qualitative descriptive method to describe in detail the students' difficulties in reading comprehension. To find out the results of the analysis that has been carried out and to describe the difficulties of students, the instruments that the researchers used in this study were observation, interviews, and documentation. The difficulties faced by students in reading are the number of difficult words, it is difficult to understand long words and sentences, they do not understand the main idea, they do not understand grammar, and it is difficult to conclude
REINFORCING STUDENTS’ READING ACHIEVEMENT BY USING READERS THEATER

This research was aimed at reinforcing student’s reading achievement by using the Readers Theater at the eleventh grade of SMAN 13 Bone. The research used the classroom action research with consisted of two cycles. The research was carried during six weeks at beginning on July 14th – August 18th 2020. The subject of this research was one class of the eleventh grades of SMAN 13 Bone. The data analyzes of the research were qualitative and quantitative. The research findings showed in the qualitative data, the students were motivated, confident and felt entertaining in learning reading. On other hand, in the quantitative data, the students mean score improved. The mean score in both Cycle I and Cycle II were 74.75 and 82.38. Therefore, the rate percentage based on the indicator achievement in both Cycle I and Cycle II running to enhance where the result was 37.6% to 78.2%. Both the qualitative and quantitative findings of this research showed there were reinforcing the students’ reading achievement by using the Readers Theater in classroom action research.
Developing Self-Advocacy Skills through Machine Learning Education: The Case of Ad Recommendation on Facebook

Facebook users interact with algorithms every day. These algorithms can perpetuate harm via incongruent targeted ads, echo chambers, or "rabbit hole" recommendations. Education around the machine learning (ML) behind Facebook (FB) can help users to point out algorithmic bias and harm, and advocate for themselves effectively when things go wrong. One algorithm that FB users interact with regularly is User-Based Collaborative Filtering (UB-CF) which provides the basis for ad recommendation. We contribute a novel research approach for teaching users about a commonly used algorithm in machine learning in real-world context -- an instructive web application using real examples built from the user's own FB data on ad interests. The instruction also prompts users to reflect on their interactions with ML systems, specifically Facebook. In a between-subjects design, we tested both Data Science Novices and Experts on the efficacy of the UB-CF instruction. Taking care to highlight the voices of marginalized users, we use the application as a prompt for surfacing potential harms perpetuated by FB ad recommendations, and qualitatively analyze themes of harm and proposed solutions provided by users themselves. The instruction increased comprehension of UB-CF for both groups, and we show that comprehension is associated with mentioning the mechanisms of the algorithm more in advocacy statements, a crucial component of a successful argument. We provide recommendations for increased algorithmic transparency on social media and for including marginalized voices in the conversation of algorithmic harm that are of interest both to social media researchers and ML educators.
Assessment of cybersecurity awareness in supply chain system for defense and security sector

Nowadays, all sectors including the defense and security sector must provide comprehensive cybersecurity awareness at all supply chain levels. Cybercriminal targets defense and security sector all over the world using various cyber threat methods. Previous studies show human factors and physical security are the contributions to this cyber-attack. It is imperative for companies to better prepare their workforce against these unscrupulous cyber and physical methods by implementing a rigorous security awareness regime. This study investigates cybersecurity awareness among employees who are involved directly with the supply chain system. A survey questionnaire was distributed both in hard-copy and soft-copy (online) modes. There were 380 respondents from various organizations in the defense and security sector. The overall findings show employees are aware of cybersecurity in the supply chain system. This critical sector should provide a comprehensive cybersecurity awareness to educate its employees about security practices in the workplace.
Region-Based Dense Adversarial Generation for Medical Image Segmentation

Deep neural networks (DNNs) have achieved great success in medical image segmentation. However, the DNNs are generally deceived by the adversarial examples, making robustness a key factor of DNNs when applied in the field of medical research. In this paper, in order to evaluate the robustness of medical image segmentation networks, we propose a novel Region-based Dense Adversary Generation (RDAG) method to generate adversarial examples. Specifically, our method attacks the DNNs on both pixel-level and region-of-interesting (ROI) level. The pixel-level attack makes DNNs mistakenly segment each individual pixel. Meanwhile, the ROI-level attack will generate perturbation based on region information. We evaluate our proposed method for medical image segmentation on DRIVE and CELL datasets. The experimental results show that our proposed method achieves effective attack results on both datasets for medical image segmentation when compared with several state-of-the-art methods.
V. I. Korobov. To the 80th anniversary

On September 27, 2021, the Editor-in-Chief of our journal, Doctor of Physical and Mathematical Sciences, Professor Valery Ivanovich Korobov turned the 80th anniversary. Valery Ivanovych established a Kharkiv scientific school of the mathematical control theory, which is well known in Ukraine and far beyond. Some of his results originated new scientific areas.
Measure of Departure from Conditional Partial Symmetry for Square Contingency Tables

For square contingency tables, a symmetry of conditional probability in part of the off-diagonal cells is considered with respect to the main diagonal.A measure is proposed to represent the degree of departure from the symmetric structure and gives the approximate confidence interval.Some numerical experiments are performed to illustrate the validity and usefulness of the proposed measure.Japanese occupational data are analyzed using the measure.