Reviewerly/exHarmony huggingface dataset:
Compilation of Spatial Models in Improving the Performance of Maintenance of Irrigation Area Networks in Purwodadi and Brati Districts, Grobogan

The Grobogan Regency Government, apart from constructing and maintaining weir buildings and dams that function to divide irrigation water, also continues to strive in developing the Secondary Irrigation Area Network. However, until now the handling of the construction and maintenance of the Irrigation Network carried out by the Department of Public Works and Spatial Planning of Grobogan Regency has not been able to be carried out optimally because there are several obstacles faced, including limited geographic / spatial-based data and information that is accurate as a tool for know the location of the Irrigation Network infrastructure and the supporting buildings for the Irrigation Network. The purpose of this research is to implement a Geographical Information System (GIS) application using the ArcGis program, to compile an information system in the form of a data base for the Irrigation Area network and to determine the priority for the maintenance of the Irrigation Area network using the following parameters: how much area is the Irrigation Area network irrigated, how long is the irrigation area canal damage and how much it costs to maintain the irrigation network The inventory data of the irrigation area network is obtained from the Irrigation and Raw Water sector of the PUPR Service of Grobogan Regency, this data is in the form of existing irrigation area network data, As-built Drawing images from the implementation results and photos of the location of the irrigation area network.
SENTIMENT ANALYSIS OF TWITTER DATA ON REMOTE LEARNING USING NAÏVE BAYES ALGORITHM

Covid-19 is widespread, resulting in a global pandemic. Distance Learning System (DLS) is considered as a solution but, the reality of the implementation of DLS is not in accordance with the expectations of the community. Many Twitter users wrote their opinions on DLS. The tendency of public sentiment can be used as a way to improve the existing education system in Indonesia and can be an input for the government in improving the DLS method that is being implemented. Thus, this study produced a system that can analyze tweet sentiment towards DLS. The tweet was obtained using the Twitter API. The method used is Naïve Bayes for the process of classification of positive, negative, and neutral sentiments using 600 data. Then, data sharing is done 80% data training and 20% data testing that will be in the text preprocessing first. The accuracy of sentiment analysis of DLS using the Naïve Bayes method using 3-fold Cross-Validation produces an average of 93%.
Mythoanalytical conceptualization of leadership in the sociology of the imagination of G. Durand

Paper dwells upon the theoretical and methodological foundations of leadership, considering key approaches and archetypal theories in modern value changes. The author notes the basis of the classical typology of leadership by M. Weber as manifestations of prereflective, emotional and rationalized trust in the leader. The typological foundations of archetypal leadership patterns based on dominant charisma, context and basic needs are identified. The possibilities of applying the basic ideas of the sociology of the depths of G. Durand in modern concepts of leadership are revealed, drawing attention to the problems of interpreting gender archetypes and their synergistic effects as stabilizing attractors. The main provisions of the philosophy of G. Durand are investigated, emphasizing the possibility of overcoming the logocentric worldview prevailing in Western culture and opening the horizons of visualizing living semantic complexes of archetypes and myths. These categories are proposed to be considered as the primary cognitive and emotional assets of leadership to substantiate the sources of the innovative and self-realization potential of modern leaders. The article analyses the peculiarities of applying mythoanalysis in political leadership, which is undergoing modifications under the diurnal and nocturne regimes in heroic, dramatic and mystical narratives. Paper investigates the features of the mythocritical and mythoanalytic method of G. Durand. It is noted that mythoanalysis expands the mythological narrative to the socio-cultural context of an epoch, country, period, universal social practices, building an ideal myth-model even outside of historical time in the eternal return of myth. The conceptual reformatting of the archetypes of gender leadership discourse in the communicative foundations of moral influence is considered. The communicative aspects of leadership in masculine and feminine motives of hunting and caring archetypes are determined.
Transformation of education: Possible perspectives

In the light of the growing technological revolution, the question of the viability of traditional education has become more acute. They try to persuade the proponents of digital transformation that it is inefficient in the new conditions. Schools and universities are intimidated by the generation Z which is "non-compliant" with standard approaches. They spend most of their free time online, have a clip way of thinking and are unable to concentrate their attention on something for a long time. Opponents of digitalization try to protect teenagers from unlimited use of gadgets. Issues about reasonable use of digital devices which do not harm their health are widely discussed. But in the spring of 2020, there arose such a situation that the harm from using gadgets by teenagers could not be compared to the possibility of the learning process breakdown. Educational institutions are urgently switched to distance learning. The transition revealed many problems, some of which were being solved in the course of the working process. It becomes obvious that distance learning cannot be used as the only possible format of work. The future of education depends on many factors. Will it remain universal with the quality mark of traditional education, or will it undergo a radical transformation? The purpose of this article is to find out whether the new generation of young people is so different that all the approaches of the traditional education system are smashed against its “armor”. Or, under the banner of the generation Z, the idea of a radical transition to a completely new education is being promoted.
E-VOTING SYSTEMS USING BLOCKCHAIN: A SYSTEMATIC REVIEW AND FUTURE RESEARCH DIRECTION

One of the most important discoveries and creative developments that is playing a vital role in the professional world today is blockchain technology. A blockchain is a distributed, digitized and consensus-based secure information storage mechanism. Blockchain technology moves in the direction of persistent revolution and change. In the last couple of years, the upsurge in blockchain technology has obliged scholars and specialists to scrutinize new ways to apply blockchain technology with a wide range of domains. The dramatic increase in blockchain technology has provided many new application opportunities, including e-voting application. The present article provides a systematic review of emerging blockchain-based e-voting systems. In this paper, we call attention to the open research matters in this fast-growing field, explaining them in some details. It was concluded that frameworks needed enhancements in order to be used in voting systems due to these reservations. KEYWORDS: blockchain, e-voting, cloud computing, ethereum; ballot
The museum as a center of educational and local lore work coordination of the educational institution

The article actualizes the issue of educational and local lore work coordination in educational institutions.The essence of the following interrelated concepts is revealed: «museum», «museum pedagogy», «educational institution museum», «local lore»; «coordination»; «museum educational environment», «educational work», «local history work».The relevance of the museum as a center of the educational and local history work coordination of the educational institution is observed in the context of the significant scientific achievements of domestic and foreign scientists.The purpose of the article is to substantiate the relevance of the museum as a center of educational and local history work coordination of the educational institution.The main approaches to educational and local lore work in educational institutions are presented based on the analysis of scientific and pedagogical literature of domestic and foreign scientists. The activity of Poltava regional center of national-patriotic education, tourism, and local lore of student’s youth of Poltava regional council as the center of coordination of educational and local lore work in educational institutions is characterized.Attention is paid to the role of some exemplary museums of educational institutions of the Poltava region in the implementation of educational and local lore work.Based on the results of research on the issue of educational and local lore work of museums of educational institutions, their advantages, problems, and prospects for their further development in the museum educational environment of the Poltava region are clarified
Peramalan Arus Kas dengan Pendekatan Time Series Menggunakan Support Vector Machine

&lt;p&gt;Cash flow is a form of financial report that is used as a measure of the company success in the investment world. So that companies need to forecast the cash flow to manage their finances. Statistics can be applied for the forecasting of cash flow using the &lt;em&gt;Support Vector Machine &lt;/em&gt;(SVM) method on the time series data. The aim of this research is to determine the optimal parameter pair model of the &lt;em&gt;Radial Basic Function&lt;/em&gt; kernel and to obtain the forecasting results of cash flow using the SVM method on the time series data. The independent variable is needed the data on cash flow from operating income, expenditure and investment expenditure, sum of all cash flow. While the dependent variable is the financial condition based on the &lt;em&gt;Free Cash Flow&lt;/em&gt;. The result of this research is a model with the best parameter pairs of the SVM tuning results with the greatest accuracy that is 75%, 82%, 88%, 64% and the forecasting financial condition of PT Cakrawala for the next 16 months.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Keywords: &lt;/strong&gt;cash flow, forecasting, time series, support vector machine.&lt;/p&gt;
Task-Aware Waypoint Sampling for Robotic Planning

To achieve a complex task, a robot often needs to navigate in a physical space in order to complete activities in different locations. For example, it may need to inspect several structures, making multiple observations of each structure from different perspectives. Typically, the positions from which these activities can be performed are represented as waypoints – discrete positions that are sampled from the continuous physical space and used to find a task plan. Existing approaches to waypoint selection either iteratively consider the entire space or use domain knowledge to consider each activity separately. This can lead to task planning problems that are more complex than is necessary or to plans of compromised quality. Moreover, all previous approaches only consider geometric constraints that can be imposed on the waypoint selection process. We present Task-Aware Waypoint Sampling (TAWS), which offers two key novelties. First, it is an anytime approach that combines the benefits of random sampling with the use of domain knowledge in waypoint selection by performing a one-time computation of the connectivity graph from which waypoints are sampled. In addition, TAWS is the first approach that accounts for performance preferences, which are preferences a system operator may have about the generated task plan. These can account, for example, for areas near doorways where it is preferable that the robot does not stop to perform activities. We demonstrate the performance benefits of our approach on simulated automated manufacturing tasks.
Chemical compositions and optical characters of sodic–calcic and calcic amphiboles in basic schists of Shahneshin area, southwest of Zanjan

Chemical compositions and optical characters of sodic–calcic and calcic amphiboles in basic schists of Shahneshin area, southwest of Zanjan
Mobile Assisted Language Learning: Platfoms To Support Students Teacher Improving Reading Skill

This study was investigating the platforms on Mobile Assisted Language Learning (MALL) that mostly used by students teachers on first and second year to improve their reading skill. Qualitative research design which used questionnaire and interview was employed to gain and analyze the data. The result showed that 79.3% students benefited various platforms, while the rest never used any platforms to support improving their reading skill. The top-five platforms were; (1) Wattpad, (2) Social Media, (3) Duolingo, (4) U-Dictionary, and (5) Quora. Students favored those platforms due to its popularity, attractiveness, efficiency, and benefit. The up-to-date and popular platform such as various social media and Quora were used to improve reading skill by connecting them to communicate to English native. Attractive platform such as Wattpad, where they could read countless stories was demanded to please their soul of readers. The efficient ones, Duolingo and U-Dictionary were chosen by them who prefer to learn in organized way. Fortunately, all of those platforms offered advantages for students such as improving their vocabulary acquisition, grammar competence, reading speed, and reading comprehension as well.
Enhanced K-means Clustering Technique based Copy-Move Image Forgery Detection

Currently, different methods such as copy-move, image morphing, image splicing, image retouching, etc. are used to alter digital images. Among them, copy-move image forgery is one of the most familiar cyber-crimes and is affecting the world of digital images as this type of forgery is easy to create and one of the hardest forgeries to detect. This paper focusses on the detection of blind copy-move image forgery, which is frequently put into practice in the field of passive forensics to confirm the genuineness and integrity of digital images. In the proposed work, discrete wavelet transform is first applied on the input image. The resulting lowest frequency approximate sub-band is partitioned into small overlapping blocks having fixed size with a sliding factor of one pixel. The 2D discrete cosine transform is then computed for each fixed size block and is then stored as a one-row vector by using the zigzag scanning. The use of the hybrid transform together with fast k-means clustering technique helps to increase the processing speed and reduces the overall forgery detection time. The performance of the propounded system is assessed by using Matlab (R2016a) and then compared to the others works and is found to be satisfactory in terms of precision, recall, F1 Score, and forgery detection time.
Reflexive self-assessment of competencies by teachers and bachelor-students

The article presents theoretical and empirical materials devoted to the urgent problem of justification and implementation of the competence approach in pedagogical education. The most important component of the methodology of the competence approach is a reasonable assessment of the degree of formation of the main competencies of professional activity, including pedagogical activity. In addition, the assessment of competencies is also an important component of the teacher certification procedure. Of particular importance in this case there is the self-assessment of competencies: the teacher’s idea of the extent to which he has formed certain competencies. The study of this issue is relevant, first of all, in practical terms. The article presents and interprets the results of a comparative study of reflexive self-assessment of competencies by bachelor-students and teachers. The analysis of modern foreign and domestic approaches to the assessment and selfassessment of professional competencies is given, and their differences are characterized. It is shown, in particular, that individual aspects of pedagogical activity are mainly evaluated abroad, there is no integral characteristic of the teacher’s work, and the criteria for evaluating competencies are not clearly defined. Russian education is characterized by a comprehensive and multi-stage assessment of the teacher’s activity, taking into account the indicators of self-assessment of professional achievements and self-assessment of the formation of professional competencies. An empirical study has established that the self-assessment of competencies by both students and teachers is on average and below average levels. In addition, there is a very pronounced similarity in the self-assessment of competencies by third- and fourthyear undergraduate students. So, they both overestimate the competence in providing the information basis of teaching and competence of area of personal qualities and also have a low opinion of the competence of motivating learners to undertake learning activity. A new scientific fact was obtained and interpreted, which is that, contrary to the traditional opinion: not only students, but also professional teachers have a poorly differentiated view of the structure of their activity. As a result, their self-assessment of the degree of formation of the activity components and, accordingly, the main competencies of pedagogical activity is also poorly differentiated, generalized and in some cases syncretic. Therefore, an important direction for improving the training of student-teachers is the formation of correct and complete ideas about the psychological content and structural organization of their professional activity, as well as its main components.
Associative classification with multiobjective Tabu search

This paper presents an application of Tabu Search algorithm to association rule mining. We focus our attention specifically on classification rule mining, often called associative classification, where the consequent part of each rule is a class label. Our approach is based on seek a rule set handled as an individual. A Tabu search algorithm is used to search for Pareto-optimal rule sets with respect to some evaluation criteria such as accuracy and complexity. We apply a called Apriori algorithm for an association rules mining and then a multiobjective tabu search to a selection rules. We report experimental results where the effect of our multiobjective selection rules is examined for some well-known benchmark data sets from the UCI machine learning repository.
A Contemporary Ensemble Aspect-based Opinion Mining Approach for Twitter Data

Aspect-based opinion mining is one among the thought-provoking research field which focuses on the extraction of vivacious aspects from opinionated texts and polarity value associated with these.The principal aim here is to identify user sentiments about specific features of a product or service rather than overall polarity.This fine-grained polarity identification about myriad aspects of an entity is highly beneficial for individuals or business organizations.Extricating these implicit or explicit aspects can be very challenging and this paper elaborates copious aspect extraction techniques, which is decisive for aspect-based sentiment analysis.This paper presents a novel idea of combining several approaches like Part of Speech tagging, dependency parsing, word embedding, and deep learning to enrich the aspect-based sentiment analysis specially designed for Twitter data.The results show that combining deep learning with traditional techniques can produce excellent results than lexiconbased methods.
The Use of Kahoot! in Teaching English Maritime Subject

Technology is being increasingly integrated as a part of teaching in view of enhancing students’ achievement in learning English. This paper presents outcomes of research that examined the effect of using Kahoot! in teaching English Maritime for second semester at Nautika II class of Politeknik Ilmu Pelayaran Makassar. This study used pre-experimental design. In taking the sample, this study used purposive sampling technique. This study was carried out among 20 students from total population of Nautika II classes. The data were analyzed by using descriptive and inferential statistics. Descriptive statistics in the form of frequency, means, standard deviation and independent t – test. From this study, it was found that the students’ test scores were higher when they were taught using Kahoot! on the learning process. The result of hypothesis testing showed t-test (17.321) was more than t-table (2.093). Therefore, it can be concluded that H0 was rejected and Ha was accepted. It means that there was a significant effect of using Kahoot! on the students’ vocabulary and grammar achievement at second semester in Nautika II class C. From these findings, it can be suggested that online media like Kahoot! is strongly recommended to be used in the teaching and learning process of English vocabulary and grammar. It is expected that the finding of this study would enlighten the relevant literature of the area.
IMPLEMENTASI WEB ENGINEERING METHOD PENGELOLAAN PENDISTRIBUSIAN OBAT GUDANG FARMASI DINAS KESEHATAN PAGAR ALAM

This study aims to design and implement a web-based drug distribution management that can help pharmacy warehouse employees manage drug data and also facilitate the preparation of drug distribution reports. Based on the results of observations and interviews at the pharmacy warehouse, data management is still done manually and has weaknesses, including the problem of ease, speed and accuracy. Management is still done using the Microsoft Office word and excel applications. The system development method used in designing drug distribution management is the Web Engineering method (Customer Communication, Planning, Modeling, Construction, Deployment). Meanwhile, the supporting tools or applications used to design and implement the management of drug distribution are Axure and UML (Unified Modeling Language). The programming language uses HTML, PHP, MySQL database and Farmework codeigniter and system testing uses the Blackbox Testing method with valid or not valid test results. The results of this study are a drug distribution management system at the pharmacy warehouse of the Pagar Alam City Health Service so that it can be used by pharmacy warehouse officers and 7 Puskesmas.