Reviewerly/exHarmony huggingface dataset:
Language and Literature Layout Integrating Text Image Preprocessing Algorithm

The Chinese language and literature layout has important application value. How to quickly and efficiently deal with the huge amount, diverse forms, and complex content of Chinese language and literature is a problem that people pay more attention to. In addition, a large number of digital resources exist in the form of images instead of text encoding. How to efficiently manage and use this document information, especially the fast retrieval of document content, is an important research direction. This paper mainly discusses the processing of Chinese language and literature layout combined with text image preprocessing algorithm and researches into the skew correction of document images. There are many types of documents, and many tilt correction methods are based on prior knowledge. If such a sample quality situation occurs, the image needs to be preprocessed. Using denoising to remove useless noise information and using correction technology to leave and strengthen the classified effective information, we can carry out the next step of retrieval and recognition. The preprocessing avoids interference and destruction of the feature description algorithm by other factors as much as possible and guarantees the effect of recognition and retrieval to a certain extent. This paper proposes a method of document image tilt correction based on the content of the document. According to different document contents, we select the corresponding strategy to estimate the document tilt. This paper uses two-dimensional wavelet transform, runs length smoothing and thinning preprocessing to extract the lines and text lines in the document image, and uses the least square method of linear parameters to estimate the inclination angle of the document. This method has the characteristics of high accuracy of tilt estimation and strong adaptability. The accuracy of feature line matching in geometric structure classification can reach 97%. This research helps to promote the continuous development of Chinese language and literature.
“The cost of a thing is the amount of what I will call life which is required to be exchanged for it”: The Concept of Economy (of Nature) in Thoreau’s Walden or Life in the Woods

The present article investigates the notion of economy (of nature) in Thoreau’s Walden or Life in the Woods (1854); it introduces the context of coining the concept of economy of nature, presents the challenges of exploring nature in Romantic thought, and finally deals with Thoreau’s concept of “economy” as discussed in the first chapter of his opus magnum. Despite its historical grounding in the Romantic tradition and in the tradition of American Transcendentalism, Thoreau’s idea of “economy” represents a remarkably fresh version of a sustainable lifestyle, combining scientific observation with profound philosophical and poetic insights.
The Effect of SEGU Towards Graphics and Collaborating Skills of High School Students on Reproductive System Material

The research was motivated by 21st-century developments which made major changes and covered all aspects. Thereby, it was important to master 21st-century skills to be able to deal with these changes. Furthermore, low graphic skills at Senior High School (SHS) level must be considered so they could understand the visual information currently available. Stream Ecology Graphing Unit (SEGU) was a learning strategy to facilitate students to “mind-on” in understanding graph concept. The purpose of the research was to analyze the effect of applying SEGU towards the graphic and collaborating skills of SHS on reproductive material. This research used a Quasi-experimental with Non-Equivalent control group design. The samples were two classes of XI MIPA in an SHS in Bandung which was taken using Purposive sampling. The instruments used were pre-test, post-test, rubrics of measuring collaborating skill, and questionnaires for students’ response towards SEGU. The result showed significant differences between the experimental and control groups in graphic and collaborating and showed intended meaning towards the implementation of SEGU. Most of the students gave a positive response towards SEGU.
HYBRID METHOD FOR IMAGE CLASSIFICATION

The work discuss regarding the performance ensemble based algorithms for image classification . Kather dataset were trained by, machine learning techniques such as K-NearestNeighbour and deep learning algorithms by Xception models.
Pelatihan Bahasa Inggris menggunakan E-learning bagi Anak Pekerja Pabrik Batu-Bata di Gampong Kajhu

This service involves village community leaders and village communities including children, youth, and community leaders. This method is carried out to understand the Kajhu community about: a) the weaknesses they experience and have, b) the community's desire to overcome their shortcomings, c) develop strategies and methods to solve problems, and d) help the community overcome, solve, and think critically to get a solution to the problem when learning English. Based on the implementation of KKN, it is known that 1) the people of Kajhu Village provide maximum support through enthusiastic participation and facilitation of community service activities, 2) community service training materials that are in accordance with community needs encourage enthusiasm for English language training, and 3) optimism for the realization of an English Club. in Kajhu Village is very high, which is shown by the seriousness of each party in participating in the process of activities carried out.
Investigating Indonesian Spelling Error on the Learners’ Composition

The aim of this research was to investigate errors in the implementation of EBI (Indonesian Spelling System) on the learners’ composition of the second grade students of SMAN 05 Kepahiang. In order to analyze the case deeply and comprehensively, this research was designed by using qualitative approach and content analysis method with data gathering techniques in the form of documentation. The data of this research were collected through purposive sampling and analyzed by using an interactive model consisting of four stages: data collection, data reduction, data presentation, and withdrawal conclusion. The result of this research revealed that the learners’ errors in the implementation of EBI on their composition included misusing of capital letters, italics, prepositions, commas, and compound words. In academic writing, the errors need to be avoided as such errors can interfere with the effectiveness and efficiency of the learners’ composition in Indonesian.
THE EFFECT OF ONLINE LEARNING USING ONLINE MEDIA ON LEARNING ACHIEVEMENT

The purpose of this study was to determine the effect of online learning using online media on learning achievement. This type of research uses quantitative descriptive methods and the subjects of this research are 4th semester students at STKIP Kumala Lampung Metro which is conducted online. In this study, the online media used included applications such as Google Classroom, WhatsApp and YouTube. The results of this study indicate that the t-count value for online media is 4.012 with a significance level of 0.001, the online media variable has a positive and significant effect on the t-count value (4.012) &gt; t table (2.101) and significant value (0.001) &lt;0.05 . So it can be concluded that there is a significant influence between online media variables (X) on learning achievement (Y)
Image-to-image Translation via Contour-consistency Networks

In this paper, a novel framework for image-to-image translation, in which contourconsistency networks are used to solve the problem of inconsistency between the contours of generated and original images, is proposed.The objective of this study was to address the lack of an adequate training set.At the generator end, the original map is sampled by an encoder to obtain the encoder feature map; the attention feature map is then obtained using the attention module.Using the attention feature map, the decoder can ascertain where more conversions are required.The mechanism at the discriminator end is similar to that at the generator end.The map is sampled through an encoder to obtain the encoder feature map and then converted into the attention feature map.Finally, the map is classified by the classifier as real or fake.Experimental results demonstrate the effectiveness of the proposed method.
Penerapan Zahir Accounting Untuk Pengelolaan Data Akutansi Pada CV. Kevindo Auto

CV. Kevindo Auto is a company engaged in the automotive sale and purchase of used cars. Accounting data processing system at CV. Kevindo Auto is still done by manual recording. This can lead to high risks that may occur with this manual recording system, including frequent errors in recording transactions, difficulty finding transaction evidence and losing proof of transactions that occur at the company. CV. Kevindo Auto requires a computerized system that will be able to provide convenience in recording all transactions that occur up to the reporting process. The use of the zahir accounting program is the right solution for solving problems that occur in this company. Using the zahir accounting program can shorten the time and simplify the process of managing accounting data. Accounting data stored on a computer makes filing safer and easier and faster in the reporting process.
An Analysis the Vocational High School Students’ Problem in Answering TOEIC Reading and Listening Test

Test of English for International Communication TOEIC is a test of English communication skills developed by The Educational Testing Service (ETS). Currently, the Ministry of Education and Culture, through the Directorate of Vocational High Schools (DSMK), has opened opportunities for SMK throughout Indonesia to obtain international certification assistance through the SMK English Challenge 2020 program or facilitation of English language proficiency certification exams with TOEIC. This study investigates the problems of SMKN 3 Seluma students in answering the TOEIC reading and listening test. The Aims of this study was to investigate out and provide solutions related to students’ problem in answering TOEIC reading and listening test. To analyze these problems, this study used descriptive qualitative approach and interview as a data collecting technique. The results of this study indicate that there were two factors that become students’ problem in answering TOEIC reading and listening test, namely internal and external factors. Internal factors occur in students themselves where students did not understand the questions, vocabulary, or material being tested. While external factors occur beyond the ability of students, such as the facilities needed by students to take the test are still minimal. A good solution to overcome this problem is to prepare everything needed to take the TOEIC test in the form of learning resources, teaching staff, learning facilities and the most important is the mentality of the students who will take the test.
Optimasi Neural Network Dengan Menggunakan Algoritma Genetika Untuk Prediksi Jumlah Kunjungan Wisatawan

West Nusa Tenggara is one of the tourist attractions in Indonesia which has a certain attraction for tourists. With the increase in tourism in NTB, it is necessary to make adequate efforts to maintain tourist objects and attractions. In an effort to maintain a tourist attraction, the NTB provincial tourism office needs to analyze and predict the arrival of local and international tourists. The current analysis and prediction process is still being carried out by collecting data from each tourist attraction entrance. The processed data produces predictions of tourist arrivals, both local and international, where the data processing process takes a long time and requires high human resources. To overcome these problems, it is done by applying computational predictions. Computational predictions can minimize the prediction time and human resources required. The method used is a neural network algorithm with optimized parameters using a genetic algorithm. The optimized parameters are the hidden layer, the number of neurons in the input layer, momentum and others. The data used is time series data from 1997 to 2018. From the neural network experiment, the parameters of the number of neurons in the input layer xt-7 are determined, the number of neurons in the hidden layer 10, the training cycle value is 400, the learning rate value is 0.3 and the momentum value is 0.2. From the experiment, the RMSE value of 0.050 was obtained. While the RMSE value for the neural network algorithm parameters optimized using the genetic algorithm is 0.044. Because of this, it can be stated genetic algorithm with neural network can be used to determine the hidden layer and the number of hidden nodes, the right features, momentum, initialize, and optimize the weight of the neural network. So that the application of the genetic algorithm to optimize the parameter values of the neural network algorithm is better than the application of the neural network algorithm without optimization.
IMPLEMENTATION OF MIND MAPPING TECHNIQUE TO IMPROVE STUDENTS’ READING COMPREHENSION IN DESCRIPTIVE TEXT

This research is about the implementation of mind mapping technique to improve students reading comprehension in descriptive text at grade VIII SMP N 1 Sintuk Toboh Gadang. This research was classified as pre-experimental research. The subjects of this research were 32 students of class VIII-1 of SMP N 1 Sintuk Toboh Gadang. The data was quantitative data taken from pre-test and post-test. The result of this research showed that the implementation of mind mapping technique on teaching reading was effective. It can be seen in the pre-test and post-test score. The pre-test mean is 50,93 and the post-test mean is 83,44. If it reviewed from tcount and ttable withα is 0,05. It means tcount is higher than ttable (-21,8237 &gt; 2,039). Based on the data, it can be concluded that mind mapping technique is appropriate to be applied in teaching reading comprehension, particularly at grade VIII SMP N 1 Sintuk Toboh Gadang.
The Complaint System Based on Whistleblowing Concept and Message Digest 5 Cryptographic Method for Regency Inspectorate Office in Polewali Mandar

Inspectorate as an institution that supervises violations in government agencies or organizations. However, when individuals report a deviation, they often get into trouble because the identity of the reporter is not kept secret. So that in this research a complaint system is designed that uses the concept of whistleblowing with the cryptographic method. Where this method uses the Message Digest 5 (MD5) algorithm to lock or encrypt data so that the confidentiality of the reporting data can be maintained. In collecting data, it is done qualitatively, where data is collected through observation, interviews, and literature studies. This study resulted in a complaint system using the whistleblowing concept with the message digest 5 cryptographic method which was used at the Polewali Mandar Regency Inspectorate Office as a medium for reporting violations. With this complaint system, the reporter need not be afraid, because his identity will be encrypted using the Message Digest 5 algorithm.
PROBLEMS OF EDUCATION AND TEACHING IN THE MODERN ERA OF DIGITAL EVOLUTION

Since March 2020, when lock-down was imposed in Romania, education has been hit very hard and all educational institutions have suffered major, irrecoverable losses.According to the United Nations Educational, Scientific and Cultural Organisation (UNESCO), over 800 million learners from around the world have been affected, 1 in 5 learners cannot attend school, 1 in 4 cannot attend higher education classes, and over 102 countries have ordered nationwide school closures while 11 have implemented localized school closure.Grant Kasowanjete, GCE Global Coordinator says: "Governments and civil society concerted efforts that mobilize resources, and expertise to address the impact of COVID-19 on education is urgently required.This process should include developing long term strategies to address the needs of education in emergencies".Bania and Banerjee (2020) show that universities from all over the world have responded to COVID-19 differently: some have continued face-to-face teaching with social distancing (e.g., the University of Queensland, Australia), while others have deferred all academic activities (e.g., the Oxford University, UK).In Romania, the situation was dramatic during the lock-down period, all universities had to switch to online teaching, which took them unprepared, both teachers and students.The study purpose is to identify the perception / opinion of university teachers from Alexandru Ioan Cuza University of Iasi (Al.I.Cuza) and from Gheorghe Asachi Technical university of Iasi (Gh, Asachi) regarding the effects of pandemic COVID 19 for their teaching and learning.The Statistical Package for Social Science Program (SPSS) was used to summarize and run correlation on data obtained from the survey.Therefore, we conducted a comparative study between 2 universities in the area of Moldova, to see the opinion of teachers related to online teaching at that time and its negative effects.
KLASIFIKASI MALWARE DENGAN MENGGUNAKAN RECURRENT NEURAL NETWORK

The development of technology today has undergone many changes that are quite fast and rapid. Along with the development of technology, the internet is used as a tool that can help in solving complex problems to be practical, and easy. The increase in internet users makes crimes that use technology also increase due to rampant cybercrime activities. One of the cybercrimes used by attackers is malicious software or what is often called malware. Malware is a malicious program created to damage or break into a software or operating system, wiretapping, gaining computer access rights without the knowledge and permission of the owner, manipulating bank transactions for profit, theft of personal data, financial loss and damage to the reputation of the organization. The Recurrent Neural Network (RNN) method is a network that has a fedback link, so that the resulting output network can be used as additional input for further resistance. Recurrent Neural Netwok (RNN) is a method that can recognize data patterns well and provide accurate predictions for classifying malware and non-malware (normal files) types using the N-grams feature. This study resulted in an accuracy of 86% and an F1 Score of 85% from the total data of 215 malware and non-malware data.
Cross-Cultural Communication Understanding in Business and Economics ESP Teaching

Language teaching should have portions for cultural reviews and studies that are relevant to the topics and learners’ needs. This research was qualitative descriptive aimed to describe the cross-cultural understanding implementation in business and economic ESP class. It is significant to describe the class realization toward cultural aspect understanding since the findings are expected to enhance future class preparation. Better cultural-based-prepared material is believed to bring a better social impact on learners. Lecturers’ and students’ perspectives based on several interviews were the basis for final finding construction. Three English lecturers were involved. Snowball sampling was the sampling method employed resulting in 40 students involved in interviews. In the context of business and economics ESP in Universitas Putra Bangsa, lecturers provided material related to cross-cultural understanding in verbal realization i.e. in the level of words, phrases, clauses, and sentences. The above levels were introduced by the lecturers with cultural and contextual approaches. Students expected more strategic-applicable utterances for daily communication in a workplace setting. Lecturers delivered the general importance of non-verbal cross-cultural understanding in the form of kinesics (eye contact and gesture), proxemics, and artifactual in a workplace setting. Kinesics was prominent, while proxemics and artifactual were least prepared. Students found practical activities in non-verbal cross-cultural understanding realization were interesting and challenging. Keywords: communication; cross-cultural understanding; English for specific purposes
An Empirical Study to Evaluate the Influence of Organizational Support and Job Commitment on Job Performance: An Evidence from Pakistan

In this research paper, the facts about the impact of organizational support and commitment on job performance are intended to be produced and presented. The study validates the study findings by collecting primary data from 120 respondents through questionnaire distribution using a convenient random sampling technique. This is a cross-sectional research study supported with the findings of empirical as well theoretical evidence. The data was collected using a closed-ended and self-explanatory questionnaire. According to the findings, the study found all hypotheses accepted that claim that job performance is dependent on organizational support and there is a positive relationship between the variables; job commitment has a direct and positive relationship to job performance, and both organizational support and commitment have a positive and influencing relationship with the job performance. Whereas we also identified that organizational support has a strong correlation with job performance; job commitment has also been found to have a strong correlation with job performance at a highly significant level. This bivariate correlated study has significant support for organizations based in Pakistan and in similar cultures to produce and enhance job performance while increasing job commitment and organizational support of their employees. Theoretical as well as empirical evidence strongly supports the findings of this study and recommends organizational practitioners to consider both organizational commitment as well as organizational support while making any corporate-level decision related to enhancing job performance and productivity.
Using the web 2.0 to enhance teaching english and learning experience in classrooms

The successful technology has been successfully applied for many years. Many ESL students have taken advantage of this to learn to speak fluently. ESL educators are now integrating Web 2.0 into classrooms. According to O'Reilly (2005), this type of technology improves end-user interaction. Therefore, teachers use Web 2.0 and an "engine" based on blogs, wikis and podcasts, with many opportunities for students. Web 2.0 offers students various activities that improve their learning and at the same time motivate them. Power tools are ubiquitous in Web 2.0 and complement the learning process by providing ESL students with an alternative to working with technologies they are familiar with. Classroom technology has been successfully applied for many years. Many ESL students have benefited from this in order to achieve fluency. ESL educators are now integrating Web 2.0 into classrooms. According to O'Reilly (2005), this type of technology enhances the end-user experience. With this in mind, educators are using Web 2.0 and a blog, wiki, and podcast-based engine with many opportunities for learners. Web 2.0 offers the student a variety of activities that enhance their learning and at the same time motivate them. Power tools are ubiquitous on Web 2.0 and augment the learning process by providing ESL students with an alternative to working with the technologies they are familiar with.