Reviewerly/exHarmony huggingface dataset:
Penerapan Soft Sistem Methodelogy Pada Pengembangan Sistem Informasi Akademik (Studi Kasus di SMKN 6 Kota Bekasi)

Academic information systems are important in teaching and learning activities, this is supported by adequate facilities and infrastructure. To support this, a system must be made that is able to assist in the teaching and learning process, namely by developing an academic information system. This development system uses the social system methodology method with the aim of helping the school's academic field achieve its goals and facilitate the teaching and learning process. This approach is designed using CATWOE analysis with components, namely customers, actors, the transformation process, world view, and the environment. The results of this study are able to answer the school's need for an effective and efficient system so that it can improve the performance of all school goals.
The Use of Mobile Apps as Strategies in Teaching Vocabularies among English Teachers

Studies had proved that acquiring wide range of English vocabularies is essential to be proficient English users.For ESL learners, there are various learning strategies that can be used to learn vocabularies and ESL teachers play significant part in this matter.One of the efficient ways is to integrate technology in the learning process.Even though computers are being used widely in the educational field, the role of mobile phones and mobile applications are becoming more prominent these days.This paper reflects the use of mobile applications (mobile apps) as strategies in teaching vocabularies among English teachers.Many studies show that the use of mobile applications in teaching can attract students' interest and increase their engagement in the learning.As a result, students can acquire more vocabularies compared to the traditional teaching method.Nevertheless, teachers and educators must be equipped with ample knowledge to conduct the learning using mobile apps efficiently and must take account students' social and economic background.Future research is recommended to empirically prove this finding as well as to identify potential gaps that might exist.
Apply Machine Learning to Improve Fault Detection and Classification in Cyber Physical System

Cyber Physical System (CPS) is one of the key technologies of industry 4.0. CPS is an integrated system that combines computing, sensors and actuators. CPS is controlled by computer-based algorithms that integrates people and internet. However, the performance of CPS is limited by its computational complexity. How to implement CPS with less computational complexity in a real time performance remains an important issue. Therefore, the study attempts to establish a CPS based on machine learning to reduce its complexity and improve applicability. This study applies a Fault Detection and Classification system (FDC) with machine learning method in the virtual subsystem of CPS. This study consists of two steps. Based on the data collected from sensors of CPS, Random Forest (RF) is used to figure out key factors that reduces the data dimension for less computational complexity. The process engineers will know which factors are causing the machine fails. The second step is to establish a time series model which bases on Long Short-Term Memory (LSTM) network to achieve real time monitoring of the machine. Before the machine fails, FDC will alarm that allow the engineer to adjust parameters of machines to avoid machine fails. The study in order to achieve the goals of predicting machines fails, figuring out key factors, predicting maintenance and increasing the productivity.
HUBUNGAN LITERASI LINGKUNGAN DAN LITERASI MATEMATIS TERHADAP KEMAMPUAN COMPUTER SELF EFFICACY

The purpose of this study is to determine the relationship between environmental literacy and mathematical literacy on the ability of students' Computer Self Efficacy. This quantitative study uses a Correlational Design research design. The data collection techniques in this study were environmental literacy tests, mathematical literacy tests, and a Computer Self Efficacy ability questionnaire. The data analysis technique used is Simple and Multiple Linear Regression. Based on the results obtained from research and calculations of Simple and Multiple Linear Regression analysis, it was concluded that there is a relationship between environmental literacy and the ability of Computer Self Efficacy of students, there is a relationship between mathematical literacy and the ability of Computer Self Efficacy of students, and there is a relationship between environmental literacy and mathematical literacy with the ability of students' Computer Self Efficacy. The magnitude of the influence of environmental literacy and mathematical literacy on the ability of Computer Self Efficacy is 39.2%.
Dampak Meningkatnya Kompetensi Dosen dan Motivasi Belajar Terhadap Prestasi Belajar Mahasiswa

The purpose of this study was to determine the effect of lecture competence and learning motivation on the learning achievement of 2017 Economics Education Department Student at State University of Surabaya. This research is an associative quantitative research. Respondents were 167 students. The results of this research indicate lecturer competence and learning motivation have a positive and significant effect either partially or simultaneously on student learning. The conclusion of this study is that high learning achievement can be obtained by increasing the student's own learning motivation as an internal factor and the competence possessed by the lecturers also helps improve learning achievement from the external side, so that the two factors are expected to help students achieve high learning achievement
Психологічний феномен професійного вигорання викладачів ЗВО

International scientific and practical conference «Pedagogy, psychology and teaching methods: international experience» : conference proceedings, July 16–17, 2021. Riga, Latvia : «Baltija Publishing», 2021. 295 pages.
A Rule-based Dependency Parser for Telugu: An Experiment with Simple Sentences

This paper is an attempt in building a rule-based dependency parser for Telugu which can parse simple sentences. This study adopts Pāṇini’s Grammatical (PG) tradition i.e., the dependency model to parse sentences. A detailed description of mapping semantic relations to vibhaktis (case suffixes and postpositions) in Telugu using PG is presented. The paper describes the algorithm and the linguistic knowledge employed while developing the parser. The research further provides results, which suggest that enriching the current parser with linguistic inputs can increase the accuracy and tackle ambiguity better than existing data-driven methods.
Clustering Technique in Teaching Writing Descriptive Text

This research aimed to find out the significant effect of clustering technique on the eighth grade students’ achievement in writing descriptive text. The research was conducted at a private school in Tanjung Morawa, Medan. It was conducted by applying experimental research design and the sample consisted of 60 students which were divided into two groups. They were experimental group which were taught by applying the clustering technique and control group which were taught without any specific technique. Each group consisted of 30 students. The instrument used to collect the data was writing test of descriptive text. The data obtained were analyzed using t-test. The test found out that the scores of the students in the experimental group were significantly higher than the scores of the students in the control group (t-observed value 2.11 &gt; t-table value 2.004). It was concluded that clustering technique had a significant effect on students’ achievement in writing descriptive text.
Integration of Python into Science Teacher Education, Developing Computational Problem Solving and Using Information and Communication Technologies Competencies of Pre-service Science Teachers

This study reports the findings of a program that aims to develop pre-service science teachers' computational problem-solving skills and views on using information and communications technology in science education.To this end, pre-service science teachers were trained on computational thinking, computational problem solving, designing an algorithm, and Python coding, and then they were asked to solve problem situations determined within the science education program using the computational problem-solving process.The study was conducted in a faculty of education in Turkey and carried out conducted in an elective course in the spring semester of the 2019-2020 academic year (in an online platform due to the Covid-19 Pandemic).38 pre-service science teachers were included in the study.In this process, pre-service science teachers' conceptual development levels regarding computational thinking and their views regarding the use of ICT in schools were collected quantitatively.The development of computational problem-solving skills of pre-service science teachers was scored by a rubric developed in this study.According to the analyzes, pre-service science teachers increased knowledge of computational thinking (t = -5,969, p = .000),enhanced views regarding the use of ICT in schools (t = -2,436, p = .020),and developed computational problem-solving skills (χ2 (2) = 9.000, p = 0,011).These findings have the potential to provide evidence on how computational problem-solving skills can be integrated into science teacher education programs.
Quantum Computer Resistant Cryptographic Methods and Their Suitability for Long-Term Preservation of Evidential Value

In the areas of electronic identification and electronic trust services, the Regulation No. 910/2014 of the European Parliament and of the Council on electronic identification and trust services for electronic transactions in the internal market and repealing Directive 1999/93/EC (eIDAS) creates uniform regulations for electronic signatures, seals, time stamps, registered mail and website certificates in the European single market. All developments that affect the security of signature procedures have an impact. In this study, we consider the candidates for quantum computer-resistant asymmetric cryptographic (PQC) methods currently under investigation in international research and standardization and evaluate their suitability for PKI systems with a focus on long-term preservation of evidential value, as is the case in particular with eIDAS-compliant signature solutions. Based on an evaluation system proposed by us - an adaptation of the system from [2] - we compare the application requirements with the properties of the candidates and recommend suitable methods.
Predicting Bank Failures with Machine Learning Algorithms: A Comparison of Boosting and Cost-Sensitive Models

Predicting bank failures has been an essential subject in literature due to the significance of the banks for the economic prosperity of a country. Acting as an intermediary player of the economy, banks channel funds between creditors and debtors. In that matter, banks are considered the backbone of the economies; hence, it is important to create early warning systems that identify insolvent banks from solvent ones. Thus, Insolvent banks can apply for assistance and avoid bankruptcy in financially turbulent times. In this paper, we will focus on two different machine learning disciplines: Boosting and Cost-Sensitive methods to predict bank failures. Boosting methods are widely used in the literature due to their better prediction capability. However, Cost-Sensitive Forest is relatively new to the literature and originally invented to solve imbalance problems in software defect detection. Our results show that comparing to the boosting methods, Cost-Sensitive Forest particularly classifies failed banks more accurately. Thus, we suggest using the Cost-Sensitive Forest when predicting bank failures with imbalanced datasets.
The reality of e-learning from the viewpoint of students of private Jordanian universities in the northern region in light of the corona pandemic: واقع التعليم الإلكتروني من وجهة نظر طلبة الجامعات الأردنية الخاصة لإقليم الشمال في ظل جائحة كورونا

The study aimed to reveal the reality of e-learning from the viewpoint of students of private Jordanian universities in the northern region in light of the Corona pandemic, and whether there are different expectations towards electronic education according to gender, specialization and cumulative rate, and the study sample consists of (294) male and female students. She uses the descriptive analytical approach, The results of the study showed that the advantages of e-learning in Jordanian private universities in the northern region from the students ’point of view in light of the Corona pandemic, came at a medium level and with an arithmetic average (3.40), and the efficiency of using education came at a high level, with an average of (3.43), while the negatives (Obstacles and Difficulties) E-learning came in a moderate degree, with an average of (3.03), and the results also showed that there were no statistically significant differences about the advantages of e-learning and about the efficiency of using e-learning according to the variable of specialization, and the presence of statistically significant differences in the dimension of the negatives of e-learning according to the gender variable. And in favor of females, and the existence of statistically significant differences in the dimension of the advantages of e-learning according to a variable Cumulative , and in favor of those with an acceptable variable Cumulative, The study recommended holding courses and workshops for students; To enlighten them about the importance of this system (e-learning), its benefits and importance, and how to use the Internet and applications related to e-learning, and to include courses related to e-learning for all students in Jordanian universities.
Automatic Ratings Generation System for Behavior Analysis

User Behavior Analysis plays a pivotal role in finding the behavior of an individual regarding any certain business or social issue. It is helping a business to take an appropriate decision for improvementby understanding customers’ opinion about their products or services in a positive or negative way. Although there are many systems have been developed and implemented till date for performing behavior analysis in different ways; still better advancement is needed due to the nature of the data. In this paper, we have developed a system to generate automatic ratings based on the commentsgiven by the banking customers on social networking sites. These ratings then further analyzed to find out positive and negative behavior. PIG ETL tool on the top of MapReduce is used to develop and implement a proposed system and performing the analysis. AFINNsentiment lexicon is used to generate automatic ratings whereasvisualization is done using D3.js. Performance evaluation of the proposed system is done by comparing it with the existing system.
PID-fuzzy of DC motors using Raspberry PI

This article describes the implementation of a fuzzy and a PID control system for the velocity and torque of a DC power motor, based in the variation of the armor current and its duty cycle. The control system has been applied to a medium power DC motor, using Python, and a low-cost embedded system - Raspberry Pi, this work is fundamental given the importance of implementing velocity and torque controllers that yield energy optimization and correct operation being achieved through the regulation of the duty cycle applied to the power of the DC motor.
Optimization of a GIS sensor layout based on global detection probability distribution evaluation

Gas-insulated switchgear (GIS) is an important power equipment. The implementation of health monitoring is limited by the number of sensors, and the global detection results of the system should be highly credible to ensure the reliability of the power supply system. To solve this problem, this study proposes a sensor layout optimization method based on global detection probability performance evaluation. Starting from the cost function, the GIS discharge detection problem is transformed into a Bayesian risk decision problem, the binary state of ‘with discharge’ and ‘without discharge’ is adopted to simplify the cost function and reduce the computing workload, and the objective function representing the global detection performance of the system is obtained. The solution of layout optimization is realized by the improved genetic algorithm. 3-sensor, 4-sensor and 6-sensor layouts, which are digitally simulated at different detection rates, and then the distribution diagram of the global detection rate is obtained. On this basis, the feasibility and effectiveness of the optimization method are verified through an experiment. The results show that, compared with other sensor layout optimization methods, this optimization method can obtain the correct probability distribution of the detection rate globally and realize the graphical quantization of the detection performance distribution of the system so as to ensure the system performance.
Interferensi Leksikal Pada Vlog Kenta Manis Channel berjudul “Kenta Pamit, Semua Nangis Denger Surat dari Kenta”

Lexical interference is the case most often encountered in the speech community. This occurs when speakers (regardless of foreign or native speakers) experience vocabulary limitations or do not know the exact vocabulary equivalent in a particular language. The purpose of this study was to identify the forms of lexical interference contained in the kenta manis channel vlog entitled "Kenta Pamit, All Nangis Denger Surat from Kenta". The research method used is descriptive qualitative data collection methods observation method and the method of analysis used is the orthographic equivalent method. The data source used in this study came from the YouTube vlog of Kenta Manis channel. The total amount of lexical interference data in the study was 8 pieces of data. From the analysis that has been done, it can be concluded that lexical interference by kenta in his vlog is divided into two classifications, namely there are 7 lexical interference in English and 1 lexical interference in Chinese.
ONTOLOGY AND PRESENTATION OF CULTURAL HERITAGE MANAGEMENT AND MAINTENANCE: A CASE STUDY OF QIONG-LIN SETTLEMENT IN KINMEN

Abstract. The management and interpretation of cultural heritage is an important international conservation issue. The construction of long-term sustainable international exchange information will help to present and promote the interpretation of intention for the cultural heritage. The Arches system platform of this study presents the concept of the life cycle of cultural heritage, and establishes the thesauri and metadata in the management and maintenance stage of Taiwan's monuments, which can mapping to the entity of relevant ontology, covering the contents required by previous visits and related needs interviews, while the detailed description part is still filled with the entity of description; the presentation platform is no longer limited to the vertical or horizontal query of the existing national database and can integrate categories, keywords, maps and other ways to present related knowledge, and expand to the system according to a physical thing, actor, activity and other entities, so as to enhance the functionality of user search. We should make long-term planning to establish complete metadata and ontology model of the tangible and intangible life cycle, provide the development direction of the national cultural heritage database and provide the basic work of international data exchange in the future.
INFORMATION SOCIETY AND PROFESSIONAL EDUCATION

The review article analyzes the features of the information society as a new stage in the evolution of the social system based on trends in the increasing role of information and knowledge, socio-economic and spiritual, cultural reality with the dominance of information and communication technologies operating globally. The conclusion is made about the strategic role of informatization as a leading factor in the modernization of education and science. Mankind’s transition to a social system based on the production of knowledge is associated with a sharp increase in the importance and accessibility of education, which leads to qualitative changes in the social structure. It puts forward new requirements for the education system, changing the paradigm of pedagogical science, the content and mechanisms of education, the center of which is the individual. The informatization of the educational process makes it possible to make the training of young people as close as possible to the realities of life in a global information society. It will contribute to more efficient use of information, energy, and labor resources to improve the quality of training.&#x0D; However, psychological and pedagogical science has laid only the foundation so far, the conceptual and methodological basis for the study of information resources and processes occurring within the educational system, the development, and implementation of effective computer-oriented educational technologies. In our opinion, the development and application of a holistic scientific apparatus will make it possible to identify the essential characteristics of the informatization process, the conditions of its course, ways of optimization, as well as to develop the tools for information flow monitoring in education. Informatization should be considered as a process of creating a unified information educational space ensuring the availability and efficiency of use, integration, and unification of the resources of the information and educational environment for all the institutions of the education system.
Особливості навчання аудіювання як засобу розвитку іншомовної комунікативної компетенції на заняттях української мови як іноземної

International scientific and practical conference «Pedagogy, psychology and teaching methods: international experience» : conference proceedings, July 16–17, 2021. Riga, Latvia : «Baltija Publishing», 2021. 295 pages.
ROLE OF ETHICS IN PROMOTING ORGANIZATION PERFORMANCE

Purpose: The potential benefits of ICT integration in learning in schools have been extensively discussed in the academic literature worldwide. In recent years globally, there has been rapid expansion in integration of ICT in primary school education. Countries has further put in place many initiatives to enhance the same. Integration of Information and Communication Technology (ICT) is a critical factor in ensuring improved quality education. Despite the many benefits that are known to be brought by integrating ICT in teaching and learning, studies have shown that integration remains low especially in primary schools. The general objective of the study was to establish the influence of information communication technology on child education&#x0D; Methodology: The paper used a desk study review methodology where relevant empirical literature was reviewed to identify main themes and to extract knowledge gaps.&#x0D; Findings: The study found out that the influence of ICTs in learning cannot be dealt with in isolation. For technology to be effective, it must be availed to learners at the right time and place. There is need to be effective, it must be availed to learner’s proximity; that is in classrooms or supposed learning environment&#x0D; Recommendations: The study recommends that school management should focus on increasing their ICTs infrastructure by provision of computers, building computer laboratories and encouraging public-private partnership so as to help in internet connectivity and provision of basic infrastructure. Capacity building is an important initiative that helps in ensuring that the benefits that accrue from use of technology in education are maximized. Additionally, students should be provided with technical assistance to use ICTs in teaching and learning