Reviewerly/exHarmony huggingface dataset:
PERGESERAN KECAKAPAN BERTUTUR DI KALANGAN MAHASISWA BAHASA AKIBAT INTERAKSI BAHASA INDONESIA, BAHASA DAERAH, DAN BAHASA ASING

This study aims to examine the existence of language shifts through shifts in speaking skills due to interactions between Indonesian, regional languages, and foreign languages. The data collection technique used is the recording technique as the main technique, while the interview and direct observation techniques are additional techniques. The respondents of this study were 34 students of the Indonesian language study program and the foreign language study program. Speech data were analyzed with three aspects of oral language skills, namely (2) speech tempo (prosody or intonation), (2) fluency, and (3) lexical (Itkonen, 2010:15-17). The results of the analysis show that there has been a shift in speaking skills from regional languages to Indonesian for all groups of respondents. Even students who are engaged in foreign languages are on average more fluent in foreign languages than in regional languages. These are indicators of a shift in regional languages to Indonesian and a shift in regional languages to foreign languages among this group of students. It can be formulated that the lower the speaking skill of a language is mastered by the speaker, the more vulnerable the language is to be shifted by a language that is more capable of being mastered by the speaker.
Attention Generating Target Images with Labels for Unsupervised Domain Adaptation

Abstract Domain adaptation has recently become a popular and successful field of solving the dependence of the deep learning model on the training set. Previous works proposed unsupervised learning methods based on Generative Adversarial Networks (GANs), which solved the mixed target domain labels problem caused by the neglect of class-level matching, by generating target pairs. And these well-designed models have successfully achieved great performance on different datasets. Moreover, due to the recent widespread use of attention mechanism, we intuitively introduce attention mechanism to the previous model. Our new structure is based on GANs containing attention mechanism and well-designed upampling module, which make our model more robust. Demonstrated by extensive experiments, our new model outperforms the previous works on several standard domain adaption datasets.
Optical Character Recognition in Data Retrieving and Storing

The huge amount of hardcopy documentation and digital documentation which received from the customers may lead those companies in lowering productivity and decreasing staffs’ performance by retyping the documentation data manually into the database. Therefore, Optical Character Recognition (OCR) is the best solution for those companies by using the OCR device to scan the hardcopy documentation data, convert it into digitalized data and upload into the database. It is good for those companies that they wished to solve those data conversion problems to save time, minimize the data content errors by using the additional time in handling other tasks in order to increase the companies’ staff performance and reduce the workload of staffs. RGui is a R programming language software that used Tesseract’s library files, one the method which can be used to solve the existing problem of the company.
3D environment modeling from multiple cylindrical panoramic images

A traditional approach to extracting geometric information from a large scene is to compute multiple (possibly numerous) 3D depth maps from stereo pairs, and then to merge the 3D data [71, 109, 210, 255]. This is not only computationally intensive, but the resulting merged depth maps may be subject to merging errors, especially if the relative poses between depth maps are not known exactly. The 3D data may also have to be resampled before merging, which adds additional complexity and potential sources of errors. 3D data registration and merging are very much simplified if the motion of the stereo pair is known. One simple instance of this is fixing the location of the center of the reference camera of a stereo pair and constraining the motion of the stereo pair to rotation about the vertical axis. However, unless a motorized rotary table is used to control the amount of rotation, the rotation between successive stereo views still has to be estimated. There is still the same (but much more constrained) problem of registration and 3D resampling, albeit with only one rotational degree of freedom.
A STUDY ON GRAMMATICAL COHESION IN THE DESCRIPTIVE ESSAYS BY THE THIRD SEMESTER STUDENTS OF ENGLISH EDUCATION PROGRAM IN THE UNIVERSITY OF MATARAM IN THE ACADEMIC YEAR 2019/2020

This study aims at investigating the use of grammatical cohesion in the descriptive essays which were written by the third-semester students of English Education Program in the University of Mataram in the academic year 2019/2020. In detail, it was aimed to identify the types and the frequent types of grammatical cohesive devices which were used by the students in writing their essays. This study used the 21 third-semester students’ descriptive essays as the resource of the data and they were analyzed by using the descriptive qualitative method. The results of this research show that all types of grammatical cohesive devices are found in the analyzed essays. There are reference, substitution, ellipsis, and conjunction. Among those four types which were found, reference occurred 1011 times or (83.6%) out of the total number of grammatical cohesive devices that were found in the students’ essays, it becomes the most predominantly used grammatical cohesive device by the students. Followed by conjunction for existing 179 times or (14.8%), and then there is ellipsis with 17 times occurrences or (1.4%), meanwhile, substitution becomes the least prominent type used by the students with only 2 times occurrences or (0.2%) in their essays. The reference became the most used type from the other types is likely to happen because they are more familiar to use it. The frequent use of reference in the students’ essays can be interpreted as an attempt to minimize the repetition of people’s names, objects, and events occurring in the same essays.
Personality matching internship placement system (PMIPS) among students of a public higher learning institution / Zainuddin Zakaria …[et al.]

The Personality Matching Internship Placement System (PMIPS) is a web-based system designed to assist students find a place for their industrial training using their personality scores as the basis for choosing the most suitable organisations or departments. This system will help them to choose the right organisations that match the organisation’s needs and requirement. The Adapted Waterfall model was used to develop the PMIP system. The evaluation of PMIPS is conducted once the development is completed. There are six constructs used for the evaluation purposes and 30 respondents were involved. The six constructs are ease of use, satisfaction, efficiency, consistency, user interface and usability. Respondents are required to use the system and then they were asked to answer the questionnaire given. As a result of the evaluation, the highest mean score is for the efficiency construct, 4.63(SD=0.49). The results show that the respondents perceived that it is efficient for them to use the system because they are able to see the results of their personality and which company is suitable for their internship placement. Future enhancement for the system includes functions that match the students’ personality with the specific job requirement.
Best Programming Mechanical Keyboard

What good is a modern programmer without a modern mechanical keyboard? The keyboard is one of the most prized possessions of a programmer. This is ...
Mining of High Average-Utility Pattern Using Multiple Minimum Thresholds in Big Data

In the past years most of the research have been conducted on high average-utility itemset mining (HAUIM) with wide applications. However, most of the methods are used for centralized databases with a single machine performing the mining job. Existing algorithms cannot be applied for big data. We try to solve this issue, by developing a new method for mining high average-utility itemset mining in big data. Map Reduce also used in this paper. Many algorithms were proposed only mine HAUIs using a single minimum high average-utility threshold. In this paper we also try solve this by mining HAUIs multiple minimum high average-utility thresholds. We have developed two pruning methods namely Reduction of utility co-occurrence pruning Method (RUCPM) and Pruning without Scanning Database (PWSD).
Technology blueprint: YUQY Electronic Sdn Bhd / Luqman Afiq Mohd Adnan

Our company produces the vacuum cleaner that we call it as Vaclower with an innovation by combining dry/wet vacuum cleaner with a blower. The design and style of our product is unique. We offer superior quality and design at affordable prices. Our products, design and finishes will continue evolving based on consumer trends and demands
Survey of Chatbot Testing Methods on Social Media to Measure Accuracy

The design of Chatbot aims to facilitate social activities in all areas to be considered. A Chatbot is one type of machine that can communicate with humans using natural language. Chatting is used to communicate, and it is a written conversation. Chatbot is a form of application implementation Natural Language Processing (NLP) that belongs to one branch of artificial intelligence or Artificial Intelligent AI social media now provides a service that allows developers to process and integrate chatbot applications. This paper aims to review the papers that build chatbot applications for various social media using various testing methods. The contribution to this paper is to determine which method can measure the level of chatbot accuracy best. This review paper will choose the equations of the most widely used test methods and social media from various papers, so that further research is expected to implement the right testing methods and use better social media in terms of user experience, features, and services. According to the review papers and papers, the Black-box and System Usability Scale testing methods are the most commonly used in the review papers. This testing method is a type of method that performs testing for the flow and how the chatbot works to achieve functional validation completely.
Multiauditing Based Cloud Storage Using Dynamic Hash Table

Cloud vault is one of the standard supplication of distributed computing framework, which offers on-request offloading administrations for the two people and establishments. in spite of the fact that, utilizers don't have full confidence on the cloud specialist co-ops (CSPs) inside that it is difficult to choose either the CSPs lives up to their licit desires for information security or not. Thus, it is evaluative to think of gainful reviewing methods to help proprietors' trust and dependence in distributed storage. In this paper, we are introducing plan of evaluating for guaranteed distributed storage dependent on 2-dimensional information structure called dynamic hash table (DHT), used to record the information data for open inspecting. This plan emigrates the endorsed data from the CSP to the TPA, and along these lines amazing decrease in the computational expense and correspondence overhead. Furthermore, The deduplication innovation is used to bring down the limit and data transfer capacity essentials of the utilities by expelling tedious data and reserves just a unique imitation of them. we upgrade our structure empowers security safeguarding by homomorphic authenticator developed on the open key and atten bunch evaluating by total BLS signature strategy. Trial results demonstrate that our instrument accomplishes secure deduplication and improvement in label age.
A IMPORTÂNCIA DAS PLATAFORMAS VIRTUAIS NO PROCESSO DE ENSINOAPRENDIZAGEM: OS DESAFIOS NO USO DAS TECNOLOGIAS DIGITAIS NAS ESCOLAS DE EDUCAÇÃO BÁSICA EM TEMPOS DE PANDEMIA – COVID-19

This article presents the actions linked to the Extension Program of Knowledge and Practices in the SUS: Discussing Health Promotion, developed at the University Hospital Oswaldo Cruz -HUOC of the University of Pernambuco -UPE, contemplating activities aimed at the community, students, residents and professionals health: extension projects, training activities; educational activities; Study Group on related themes.Extension activities started in 2016, through the
Intelligence Shoes - Aqilaz Shoes Sdn. Bhd / Muhamad Aqil Azib Jamil

Our app is called 'Intelligence Shoes', which means multi-purpose smart shoes especially for people who often have foot aches and discomfort when walking or standing for too long, which is right for whom our application fits. Our product concept is about footwear that can relieve foot pain and discomfort. This product comes with 2 functions consisting of massage and cooling functions. Among the main material is a good acupressure site for the function. In addition, the product uses bluetooth technology and 'Aqilaz Shoes' mobile application which is connected to the shoe and adjusts the mode through the application. Using this product will make it easier for someone who wants to customize the function. Our target market is for people who love to go out and do activities that involve movement like travellers and workers. This is because if one feels pain and discomfort in the leg area, this product can provide relief to the pain the wearer is experiencing. It can indirectly solve problems encountered in emergency because not all places provide massage services or cooling feet. In addition, the use of the 'Aqilaz Shoes' application gives users the convenience and convenience to adjust their desired mode.
What is deductive logic?

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Alternatif Model Alat Evaluasi Kemahiran Menyimak Bahasa Indonesia bagi Penutur Asing Berlandaskan Alat Evaluasi Bahasa Asing

In this paper, we will discuss the design of the Indonesian language evaluation model for foreign speakers (BIPA), in particular the listening proficiency evaluation model. Listening proficiency evaluation tool is considered important because listening is a parameter for a foreign speaker to master other language skills. At this time, the presentation of the listening proficiency test for the Indonesian language proficiency test (UKBI) is considered difficult for foreign speakers to follow. The solution to overcome this problem is to design a listening proficiency evaluation tool based on the results of analysis of foreign language evaluation tools such as the JLPT (Japanese Language Proficiency Test), America by analyzing the listening competency evaluation tool from TOIEC (Test of English for International Communication), and Europe with analyzing the DELF listening competency evaluation tool (Diplôme d'Etudes en Langue Française / Diploma in French Language Studies). The results of the study on the evaluation tool became an alternative basis for designing a model for evaluating listening proficiency in Indonesian for foreign speakers. This study aims to describe the design of the listening evaluation tool in Indonesian for foreign speakers. The data that will be produced in this research is in the form of an alternative lattice evaluation tool for listening proficiency in Indonesian for foreign speakers.
Unsupervised Alphabet Matching in Historical Encrypted Manuscript Images

Historical ciphers contain a wide range of symbols from various symbol sets.Identifying the cipher alphabet is a prerequisite before decryption can take place and is a time-consuming process.In this work we explore the use of image processing for identifying the underlying alphabet in cipher images, and to compare alphabets between ciphers.The experiments show that ciphers with similar alphabets can be successfully discovered through clustering.
Research Guides: Information Literacy Toolkit: Research Assignments

Resources to help with planning or implementing information literacy concepts and assignments in classes.
Effect of cooperative learning on academic stress of high school students: A comparative study

The present experimental study was undertaken to determine the effect of cooperative learning strategy i.e. student teams achievement division (STAD) on the academic stress among ninth grade students in relation to gender. Ninth standard students of the schools situated in Jhajjar city affiliated to Haryana Board comprised the population of the study. 64 students (32 boys and 32 girls) selected through multi-stage random sampling technique constituted the sample of the study. 64 students after equating on the basis of intelligence level & socio-economic status were equally divided among two group i.e. experimental group (E) & control group (C). Group Test of intelligence by Ahuja (2012) was used to assess the intelligence level of students. Socio-economic status scale by Kalia & Sahu (2012) was used to measure socio economic status of students. Stress inventory for school students by Singh & Rani (2011) was used to measure academic stress of students. Statistical techniques like ANOVA and t-test were used to analyze the obtained data. Cooperative learning was found more effective instructional paradigm for reducing academic stress of high school students as compared to conventional method.
Creating Reusable State Files

So far, we have seen that Salt has been pretty easy to use, the underlying Python subsystems helping us differentiate the various needs of the underlying OS. However, we have chosen carefully to install packages with matching names on both Ubuntu and Red Hat–based systems, like CentOS Stream. We will have encountered more problems ensuring that the Vim text editor was installed. The package to install is simply vim on Debian-based systems and vim-enhanced on Red Hat–based systems. This extends into many services too; if we want to install the Apache web server, we need the packages apache2 on Debian and httpd on Red Hat. The service names also differ on each system. For simplicity, we have avoided these issues, but it is time to face these problems head-on and see how using templating languages like Jinja can help to resolve the issues. We will also learn how we can use other renderers and discover that we can write our State files in Python directly.
Supporting and engaging isolated language learners in Open and Distance Learning (ODL) classes a comparative study between a Malaysian and an Indonesian university undergraduate students / Norhaiyati Abdul Muin

Covid-19 has suddenly shifted physical classrooms to fully online. Not only educators, but also students are forced to resort to fully Open and Distance Learning (ODL) classes overnight. With lack of preparation, there are multitude of problems faced by both. Initially, the students welcomed the ability of studying at the comfort of their homes; later however, many have complained on difficulties faced in coping with ODL classes. At the same time, in changing the modes, a one-size-fits-all approach is often employed by the lecturers. In other words, internal content is converted into a form that they believe suitable for an external delivery. However, there is a significant problem with this approach, especially with students who feel isolated and disengaged from the physical classrooms. When compared to their counterparts who are more self-regulated learners, these students often face some barriers that they may not experience in face-to-face or blended learning environment to fully participate in their coursework. The online environment also poses challenges for many academic staff who need to master technological competency and proficiency within a limited time period. This paper provides one lecturer’s findings and perspectives facilitating students learning online. Primary data collected from a self-administered online survey questionnaire are analysed descriptively in a general survey of trends, involving 162 survey respondents among degree students from UiTM Kelantan and an Indonesian university. It also includes students’ responses and critical commentaries on some of the challenges faced by the students and the implications of more ODL classes in future
ENGLISH LEARNING MOTIVATION OF STUDENTS IN MADRASAH DINIYAH (ISLAMIC NON-FORMAL SCHOOL)

Pandemic makes students have to do distance learning which causes some effects such as low focus in learning, spend more time for gaming, and finally they are demotivated to study. This situation encourages teachers in Madrasah Diniyah as Islamic non-formal unit of education in Indonesia involve some English teachers to modify the curriculum by inserting English as local subject-content in it. It aims to attract students’ motivation in learning since they have something new to learn in madrasah diniyah. These non-formal schools are still possible to do the direct process of teaching and learning because the number of students is not as big as the formal school, so the activities can be conducted with health protocol. The English teachers in five schools of madrasah diniyah in Kudus city, Central Java formulate the topics and it focuses on speaking skill to run the class activities. This study is an action research which elaborates the implementation of teaching process and the students’ responses dealing with their motivation. Daily topics and focusing on speaking skill results the activities of teaching and learning process are more attractive and students feel motivated to learn English even it is not in the formal school.
Securing Green IoT Infrastructure Using Blockchain Based Machine Learning Intrusion detection system

Internet of Things (IoT) is an emerging technology which enables several devices to be connected together in unprecedented ways in the smart world. Regardless of the diverse benefits offered by IoT connected devices, it comes along with several environmental threats due to huge energy consumption amongst IoT devices which embraces toxic pollutions and E-waste. Hence, to optimize the advantages of IoT there lies an important need to move towards green IoT. Cloud computing on the other hand has been successfully used to provide unlimited computational storage and services for numerous IoT devices over the internet. Sadly, security issues in cloud computing for green IoT is also a challenge. Furthermore, blockchain technology is transforming several application areas of IoT by allowing a decentralized environment. IoT systems can be properly secured against threats and attacks when combined with blockchain technology. Motivated by achieving a sustainable environment for IoT and its robustness against threats and attacks, this research presents an overview regarding green IoT technologies and the strategies used to minimize energy consumption in IoT. Additionally, it presents research challenges on security and privacy issues in green IoT and focuses on how to integrate blockchain technologies in Green IoT environment to prevent attacks, and the possible combination of blockchain technology with intrusion detection systems.
Education and Economic Development in Indonesia Based on Human Capital Theoretical Perspective

The purpose of this study is to understand the role of education in Indonesia's economic development from a theoretical perspective of human capital. This research uses descriptive quantitative method with a moving avarage auto regression model to see the relationship between education and health, technological development, poverty and economic growth in Indonesia. We found that education plays a role in stimulating economic, health, technological development and suppresses or is negatively related to poverty.