Reviewerly/exHarmony huggingface dataset:
Students’ Perception of Learning English Through Hybrid Learning (Online and Offline)

This research aims to: find out students’ perceptions of learning English through hybrid learning (online and offline), find out the difficulties of learning English through hybrid learning, and find out the positive impacts of learning English through hybrid learning according to high school students in Mataram. This research is a survey research that used quantitative descriptive method. 43 students of SMA Negeri 3 Mataram participated in this research. To collect data, questionnaires that consisted of close-ended questionnaire and open-ended questionnaire and interviews were used. The results of the study show that the positive impacts of learning English through hybrid learning are: (1) having a conducive classroom environment when learning English through hybrid learning, and (2) feeling comfortable since they can access the material anytime and anywhere. However, the students opined some difficulties in learning English through hybrid learning that included: (1) having difficulty in understanding the materials due to the unstable internet connection/signal, (2) having difficulty to express the ideas, and (3) having difficulty to participate in a more active, collaborative and communicative class discussion. The students’ perceptions toward the implemention of hybrid learning in learning English split into 3 categories: supportive, not supportive, and neutral perceptions. The total weight of each category in the questionnaires are “strongly agree” 8.7%, “agree” 25.1%, “neutral” 37.5%, “disagree” 20.1%, and “strongly disagree” 8.7%. The group of students that chose “neutral’ answers scores the biggest with 37.5% of the total students, followed by the groups of students that oppose or do not support the implementation of hybrid learning that comprises 33.8% or one third of the total students. The bottom position is seated by the group of students that propose or support the implementation of hybrid learning in learning English with 28.8% or less than one third of the total students. Thus, it can be concluded that the more students have neutral position towards the use of HL in learning English.
GAMIFYING “WHOLE-PERSON EDUCATION”: THE DEVELOPMENT OF A MOBILE APPLICATION WITH AUGMENTED REALITY

Whole-person education is what many educational institutions aim for, especially in these times of rapid technological innovations. Silliman University, one of the oldest universities in the Philippines, offers whole-person education to achieve total human development. This study is an innovative technology integration in the classroom of the course “whole-person education”. Specifically, this paper describes the development of a mobile game application that integrates augmented reality. Applying the gamification theory, a learning trail about the 5Cs of Silliman Education - Classroom, Church, Culture, Court, and the Community, was integrated. The learning trail consists of three learning paths, and each path consists of ten checkpoints. Three qualifying questions were embedded to determine the player’s learning path. Each checkpoint is augmented using QR codes. Players need to complete the game in the shortest possible time. The educational game mobile application was developed using Appery.io, a rapid development, integration, and deployment platform. The mobile application runs on the Android operating system as part of the first release. A survey was conducted among 244 players of the game application. A 4-point scale questionnaire is integrated into the game app, asking the players about their level of agreement with the statements representing their game evaluation. The result shows that the game application was evaluated positively by the respondents, with a mean of 3.69. Expressly, the players agreed ( = 3.69) that they learned a lot about the AR trail. The students also agreed ( = 3.35) to the statement, “I would like my teachers to integrate apps like this in my classes.” The result implies that augmented reality and gamification as teaching strategies in the classroom are perceived positively and accepted by the students. The educational game promotes the understanding of whole-person education especially in a developing country where digital divide is a pressing issue.
Upaya Mengasah Kecerdasan Linguistik dan Interpersonal melalui Program Trainer Muda

The general public's view of the meaning of intelligence is still narrow. Many think that intelligent children are children who have logical intelligence and those who are lacking in that are considered unintelligent, even though there are many other types of intelligence. Some of these intelligences are linguistic and interpersonal intelligence. One way to hone linguistic and interpersonal intelligence is through a youth trainer program. The purpose of this research is to find out about the youth trainer program, how to hone linguistic and interpersonal intelligence through the youth trainer program, and what are the supporting and inhibiting factors. This research is a qualitative research using a case study approach. Data collection techniques using observation, interviews, and documentation. In the interview process, the researchers obtained data from the training division, teachers, administrators and students. Data analysis technique by reducing data, presenting data and drawing conclusions. The technique of checking the validity of the data by extending participation and triangulation. The conclusion of the research is that through the young trainer program, the students' linguistic and interpersonal intelligence has been proven to be honed. The supporting factors in this research are: imagination map, peer tutoring, teaching flash students etc. The inhibiting factor: training activities sometimes clash with the formal school schedule, the varying abilities of students and the lack of self-motivation of some students.
Altered Leucocyte Function and Hematological Parameters among Leukaemia Patients at the Oncology Department, National Hospital, Abuja

Background: The incidence of Leukaemia is increasing in developing countries, particularly in Africa. Cancer-associated inflammation is a significant factor in improvements and survival of people with cancers. This study was aimed at evaluating changes in leucocyte functions and hematological parameters among leukaemia patients in Abuja, Nigeria. Method: The study comprised 30 leukaemia patients attending the Oncology Department of National Hospital Abuja, Nigeria from July 2019 to August 2020 and 20 healthy people. Three millimetres (3m1) of blood was collected from each participant into EDTA bottle and analyzed for full blood and differential counts using the Mythic 22 (Orphne, Switzerland) five-part differential hematology analyzer. CD4 and CD8 T cells were analyzed out by flow cytometry. Data analysis was done using IBM-SPSS Inc., Chicago, IL, USA version-25.0. T-test was used to compare means of between groups and the significant value was set as P&lt;0.05. Result: All hematological parameters were significantly lower (P&lt;0.05) in leukaemia patients as compared to control except for monocytes and basophils. Also, WBC was significantly higher in leukaemia patients (13.0 ±0.57x109/L) as compared to 6.11±1.14109/L in control (P&lt;0.05). CD4 (775.4082.91Cell/u1) and CD8 counts (634.40±101.43Cell/u1) were significantly higher in control as compared to leukaemia patients. Also, CD4/CD8 ratio was significantly higher (P&lt;0.05) among control group 1.24 ± 0.15 than leukaemia patients (1.17 ± 0.09). Conclusion: This study found that changes in hematological parameters and leucocyte functions are significantly associated with leukaemia. The use of therapies that boost immune response in patients with leukemia is recommended.
College Students’ Perception of Electronic Learning During Covid-19 Pandemic in Indonesia: A Cross-Sectional Study

COVID-19 has prompted higher education institutions at the world to relocate offline classes to online classes, and universities in Indonesia were no exception. Indonesia has already developed online classes, and there were challenges to utilizing it. This study indicates e-learning perceptions’ in knowledge mastery, social competence, and media literacy abilities, also assesses college students’ attitudes toward e-learning. The research methods used with a quantitative m odel, where the sample tested represented the student of 1137 respondents from 43 universities in Indonesia. The study’s findings show a commonly weakness of e￾learning was that respondents got a lack interaction with lecturers (57,6%). A mastery of technology is moderate (77.6%), the key reason students implement e-learning is the ease with which they may obtain study resources, e-learning technology enables quick access to information, it made students able developing a favourable attitude based on its utility, self-efficacy, the convenience of use, and student behaviour. It utilized as an evaluation tool by The Higher Education of Education and Culture of the Republic of Indonesia.
A new approach on ai application for grounding resistor prediction in underground mines of vietnam

Purpose. To apply artificial intelligence (AI) technology for predicting the earthing resistor of underground mines with consideration of climate change parameters. Methodology. In underground coal mines of Vietnam, the earthing system are everywhere equipped with individual rods combined with centralized grounding bed; this system significantly influences electrical safety and explosion safety. In daily operation, the resistor of the earthing system must be measured and tested regularly to ensure their value lower than the allowance limit (2). However, because of being affected by climate parameters (humidity and temperature in mines) this value varies frequently. By applying a new Neural Network with 3 hidden layers including variable parameters, the paper presents a new approach on predicting the earthing resistor. An algorithm is formed with visible and easily usable software for assisting the operator to predict the resistor. The prediction could be used for onsite management of a mine operator in the field of observing and testifying the earthing system in underground mines. Findings. Software is developed based on AI technology for assisting the operator to predict the value of the earthing resistor corresponding to climate change. Originality. Neural network with AI technology application is utilized relying on onsite measurements. Practical value. Prediction results could be used in case of difficulty in measurement. It will also help to correct or eliminate the measurement error from a mining technician.
A Study on the Application of Tropical Architecture in the Design of a Serviced Office in Medan Sunggal Sub-District

The design of a rental office in the sub-district of Medan Sunggal is a design for a rental office located in one of the business centres in the city of Medan, precisely in the sub-district of Medan Sunggal with the theme of tropical architecture. The problem that business actors or novice freelancers often face when trying to take independent steps to open new jobs due to Indonesia’s low level of employment is worrying about the high cost of office rentals like conventional office rentals in general. This rental office implements a serviced office system (office ready to use) which aims to make it easier for tenants, especially in terms of finances. The settlement method used is the descriptive method used in the design based on analytical reasoning and empirical structural research, along with identifying things that support the method. The use of a tropical architectural theme refers to the climate of Medan, which tends to be tropical and can be utilized by maximizing energy savings from natural sunlight. This rental office is expected to be good news for business actors, freelancers, and stakeholders in overcoming problems regarding the need for rental offices in the Medan Sunggal sub-district.
Monitoring as a component of the course “Life safety and labor protection”

Purpose. Analysis, generalization and comprehension of the experience of using modern control methods, as well as the definition of psychological and pedagogical bases of application of test control when studying the discipline of labor protection. Methodology. To achieve the goal, a number of scientific methods were used, in particular systematization, theoretical analysis and generalization. Findings. The notion of control as a subsystem within the training system as a whole was considered. Tasks, functions and types of control are considered. Control acts as an effective means of management, correction and stimulation. An integral part of the control is an assessment system, which is understood as a mechanism for carrying out a control and diagnostic communication between the teacher and a student on the success of the educational process. Types of audits of educational achievements are analyzed and their advantages and disadvantages are distinguished. The meaning of knowledge control is an estimate. Valuation functions are determined as a tool for stimulating cognitive processes. The benefits of the rating assessment system are considered. It is established that in the process of verification and evaluation it is important to strive and achieve consistency, the objectivity of determining the level of educational achievements of students based on the main requirements in accordance with specific objectives and individual characteristics of development of cognitive abilities. Originality. The effectiveness of the modern system of control and evaluation of student achievements, objectivity and representativeness of the obtained results in terms of distance learning was considered and analyzed. Practical value. The study of students knowledge should give objective information not only about the final result of educational activity, but also about the educational activity itself: whether the form of action corresponds to this stage. Properly delivered control of students educational activities allows the teacher to evaluate their knowledge, skills, abilities, to provide the necessary assistance and achieve their learning goals.
The Values In Wayang Golek Entrepreneurship

The main objective of this research is to find religious, social and cultural values based on wayang golek entrepreneurship. The research method used is a qualitative method. Meanwhile, the respondents were taken using purposive technique. Data collection is done by in-dept-interview, documentation, and observation. The results of the study indicate that there are moral values in the wayang golek business because to make wayang, one must understand the character of the wayang. While the puppet characters include wisdom, musharaka, and honesty. second, the preservation of wayang is carried out by providing training to elementary school students so that the younger generation understands wayang. In addition, the wayang market is held from Bogor, DKI. Jakarta, D.I. Yogyakarta, and Bali. Finally, making puppets must pay attention to the type of wood because the wood used will be related to the resistance of the puppets.
Learning From Home: A Study of the Role of Parents in Online Learning during the Covid-19 Pandemic in Junior High Schools

This study was conducted to determine the role of parents in educating children learning from home, as well as the implementation and obstacles faced by parents in educating children to learn from home during the Covid-19 pandemic at SMP Muhammadiyah 1 Teluk Kuantan. This study was motivated by symptoms in the field such as obstacles felt by parents when carrying out a role in learning from home, the difficulty of the learning process carried out online, limited learning time and process, internet connection and other things. This study uses a qualitative descriptive approach, namely to determine the role of parents in educating children learning from home,as well as the implementation and obstacles faced by parents in educating children to learn from home during the Covid-19 pandemic at SMP Muhammadiyah 1 Teluk Kuantan. The result of the study is that the role of parents in educating children learning from home is realized quite well in the midst of various kinds of professions and busyness carried out by parents. The implementation of learning from home during the Covid-19 pandemic does not necessarily run smoothly, complaints that are often expressed by teachers such as the difficulty of the learning process carried out online, limited learning time and process, internet connection and other things. This is also so many obstacles faced by parents in educating children in learning from home during the Covid-19 pandemic, namely for parents who have high, medium and low busyness such as not being able to accompany children's activities, not understanding children's learning, not having gadgets and internet networks, and situations and conditions at home are not comfortable for children.
The Use of Politeness Strategies in the Realization of the Speech act of Disagreement by EFL Learners

This study aimed to investigate the differences between the politeness strategies used by university EFL learners and American native speakers in making disagreements. Using Brown and Levinson’s (1978) model, the study examined the variables of gender, social status, and social distance. The participants were 63 EFL learners (41 females and 22 males) and 20 native speakers (10 females and 10 males). The EFL learners who took part in this study were EFL learners who were studying in the Department of English Language and Literature at the University of Bahrain. They were in their fourth, fifth, or sixth year of study. The data was collected using a Discourse Completion Task adopted from a previous study done by Khoirunnisa and Hardjanto (2018) and modified by the researcher to fit the needs of this study. The results of this study showed that the reason why EFL learners seemed more or less polite was that native speakers chose to apply higher or lower percentages of politeness strategies to fit the needs of the different situations, whereas EFL learners used similar percentages of those strategies in most of the situations. This was due to EFL learners’ insufficient competence in the English language. Further, EFL learners were still aware of the necessity of using different politeness strategies in different situations, and thus there were some changes in their use of them depending on the situation. Moreover, the study revealed that female EFL learners used slightly more positive politeness strategies than male EFL learners. In terms of importance, gender was shown to be more important than social status in determining the types of politeness strategies employed by EFL learners.
Optimization of Fuzzy System Inference Model on Mini Batch Gradient Descent

Optimization is one of the factors in machine learning to help model training during backpropagation. This is conducted by adjusting the weights to minimize the loss function and to overcome dimensional problems. Also, the gradient descent method is a simple approach in the backpropagation model to solve minimum problems. The mini-batch gradient descent (MBGD) is one of the methods proven to be powerful for large-scale learning. The addition of several approaches to the MBGD such as AB, BN, and UR can accelerate the convergence process, hence, the algorithm becomes faster and more effective. This added method will perform an optimization process on the results of the data rule that has been processed as its objective function. The processing results showed the MBGD-AB-BN-UR method has a more stable computational time in the three data sets than the other methods. For the model evaluation, this research used RMSE, MAE, and MAPE.
Application of Pension Fund and Jubilee (Case Study of PG Rejo Agung Baru Madiun)

PG Rejo Agung Baru Madiun is a sugar factory managed by PT PG Rajawali I, a subsidiary of state-owned agribusiness PT Rajawali Nusantara Indonesia (RNI). PG Rejo Agung Baru has several sections, one of which is HR and General Affairs. The HR and General Affairs department handles matters relating to employees which include employee salaries, employee pension funds, jubilees, promotions, employee recruitment and so on. Companies need information relating to employees quickly and accurately to make a decision. Decision making is something that is very vital in the company.&#x0D; This study aims to design and build a web-based application for calculating pension and jubilee funds. This application for calculating pension and jubilee funds was created to solve the problems faced by the HR and General Department, namely the manual processing of employee data.&#x0D; The pension and jubilee fund application can increase the efficiency of the pension and jubilee calculation because the admin does not need to do the calculations manually, besides that this application can also help reduce the risk of human error in the process of calculating age, salary, severance pay, pension benefits, taxes and jubilee. The report generated from this application has a consistent format so as to support the process of managing pension funds and jubilee consistently
KNN Algorithm and BP Neural Network Model Applied to Network News and Public Opinion Governance System

Online public opinion events occur frequently. The effective governance of online public opinion is in an increasingly important position. This study creatively constructs an Opinion Lexicon to categorize and assign scores to words in major news commentaries. The model utilized in the article is based on KNN algorithm and BP neural network. The usefulness of the model is to screen and score samples of news comments from three representative media platforms, namely “People’s Daily Online”, “IFENG.com” and “Paper”. Through data processing and result comparison of the samples, the study can correctly predict the value of news opinion guidance and the scores assigned to comments. On the one hand, the study wants to provide an effective way for public opinion governance of Internet News. On the other hand, it promotes other news media to think about the key and initiatives of online opinion guidance from the perspective of social opinion orientation.
Emotion-Enhanced Multi-Modal Persuasive Techniques Detection Using Split Features

The persuasive techniques in propaganda campaigns impact the Internet environment and our society. Detecting persuasive techniques has aroused broad attention in natural language processing field. In this paper, we propose a novel emotion-enhanced and multi-level representation learning approach for multi-modal persuasive techniques detection. To consider the emotional factors used in persuasive techniques, we embed the text and images using different networks, and use a fully connected emotion enhanced layer to fuse multi-modal embedding, where the type and strength of emotions are incorporated in the text embedding. To better model the multi-modal features in persuasive techniques, the fused features are inputted to a split-and-share module where multi-level representations are employed to obtain better detection performance. Furthermore, we integrate the focal loss to alleviate the problem of data imbalance for persuasive techniques detection. Experimental results on publicly used dataset show that the proposed model is effective for multi-modal persuasive techniques detection. Remarkable experimental results indicate the capability of our MPDES in extracting the deeper information contained in dual modalities.