Reviewerly/exHarmony huggingface dataset:
Investigate the Performance of WordNet and Association Rules for Hard Clustering Web Document

A powerful technique that has been widely used to organizing a large number of web documents into a small number of general and meaningful clusters is Document Clustering.High dimensionality, scalability, accuracy, extracting semantics relations from texts and meaningful cluster labels are the major challenges for document clustering.To improve the document clustering quality, we intend to introduce an effective methodological system using association rules instead of frequent term sets for clustering web documents into different topical groups called Hard Document Clustering using Association Rules (HDCAR).HDCAR characterized by high performance in the organization of web documents and navigates them effectively in order to keep up with the explosive growth of the number and size of web documents.Association Rule has the equally important advantage of having a higher descriptive power compared to single words (frequent term sets).Moreover, the external knowledge from both WordNet synonym and hypernyms will be used to enhance the ''bag of words'' used before the clustering process and to assist the label generation procedure following the clustering process.Then, Multi-Hash Tire Association Rule (MHTAR) algorithm is used to discover a set of highlyrelated association rules to overcome the drawbacks of the Apriori algorithm.Through the resulted association rules, the hidden topics are discovered as the first step and then the documents will be cluster based on them.Finally, each document is assigned to only one cluster (hard clustering) with the highest Document Weighted-measure, and then the highly similar clusters are merged.To evaluate the performance of HDCAR, we conducted experiments based on four different kinds of datasets Classic, Re0, WebKB and REUTER datasets.The experimental results show that HDCAR outperforms the major document clustering methods like k-means, Bisecting k-means, FIHC, and UPGMA with higher accuracy quality, efficiency and lower execution time.Furthermore, HDCAR provides more general and meaningful labels for documents and increases the documents clusterization speed, as a result of the reduction of their dimensionality.
Penggunaan Media Nitasapura untuk Meningkatkan Aktivitas dan Hasil Belajar Siswa Kelas II SD Negeri 6 Dauhwaru

This study is a classroom action research aims to increase the activity and learning achievemen making use of Nitasapura. Subject of the study is the 34 first semester students of the second graders SD Negeri 6 Dauhwaru academic year 2018/2019. Technique of collecting data applied in this study is observation and test to obtain the data on students’ learning activities and learning achievement. The collected data were presented qualitatively applying a comparative descriptive technique. The use of Nitasapura in mathematics teaching and learning may increase students’ activities in learning mathematics; before the treatment it is at the category of less active learning, and it becomes an active category at the end of the treatment. The use of Nitasapura improves the students learning achievement of the second graders at SD Negeri 6 Dauhwaru for the topic of number. This fact can be observed from result of the first cycle average test score which is 66.6, it is in everage category with 73.53% learning achievement. Meanwhile, the average test score of the second cycle is 82.4, at good category with 100% learning achievement. Based on these facts, it is to say that the use of Nitasapura in mathematics teaching and learning increases the activities and learning achievement of the second graders at SD Negeri Dauhwaru 6.
Amazing Grace: How Sweet the Sound of Synthesised Bagpipes

A bagpipe is a type of wind instrument that contains a melody pipe, which has an enclosed reed called the chanter and other drone pipes. The chanter is the part of the bagpipe that supplies the note, and the air that the pipes are fed is provided by the bag, which is inflated by a blowpipe and driven by the player’s arm. The goal of this project was to create a bagpipe using a program called Supercollider. Supercollider is used for audio synthesis. While creating this artificial bagpipe (here on referred to as a ‘synth’), it was broken down into four components: the chanter, the base drone, the first tenor drone and the second tenor drone. The chanter has the frequency of the note, the base drone’s frequency will be half that of the chanter and the frequency of the tenor drone will be half that of the base drone. This is because of the length of the pipes in relation to each other. In order to create the synth, a sine oscillator was used, and then put through a resonance filter, and then a reverb filter. This was done in order to mimic the echo that sound has when it is forced through a tube, or enclosed space. All four pipes were added together to create the synth. In order to play a song, the synth was put into a pattern so Supercollider could receive an array of notes, which serve as the frequency of the chanter, and then play the song automatically. The notes for Amazing Grace were transcribed into midi-notes and beat durations and these arrays were fed into the pattern to create the song. The synthetic version of Amazing Grace, in terms of frequency and loudness, was then graphed and compared to the graph of a recording of Amazing Grace played on a real bagpipe. There are differences between the two sound files, the most significant being that the real bagpipe has much more variation in terms of loudness. The synthesized bagpipe had a more gradual and subdued noise level, where the natural bagpipe was much more randomized. Taking the comparisons into consideration, Supercollider can be used to create an approximation of a bagpipe, but under scrutiny, the artificial version currently falls short.&#x0D;
Education Development In Russia: Aspects Of Strategic Planning And Project Activities

The authors review global trends in the development of education and assess the competitiveness of the Russian education system in the world. The research reveals main vectors and urgent problems of its development. The differentiation factors of the quality of education, factors of access to good quality education and the availability of conditions for the use of new technologies in the country are highlighted. The authors formulate main contradictions, aggravating disagreements between the participants of the educational process and the developers of strategies for reforming education as well as they reveal and thoroughly analyze key aspects of sectoral, inter-sectoral and regional strategic planning documents of the Russian Federation containing educational issues. The difference between the real strategic planning and the normative system is put forward, revealing the shortcomings that hamper goal setting, forecasting, design and programming to act as tools for the effective development of education. Absence of a strategy negatively impacts the development of education. The paper gives an assessment of the effectiveness of the measures of the previous strategy of education development. Authors identify key documents of strategic planning at the Federal and regional levels, which characteristics affect the feasibility of strategic goals and objectives of educational development, measures for their "vertical" and "horizontal" synchronization ensures the unity of the system of strategic planning regarding key parameters of strategic documents: approval timeframe, amendments, validity period, structure and content. This will provide predictable results of strategic management of educational development through mechanisms of regulatory framework and strategic planning documents.
Differential Privacy Technique for Privacy Preservation on Big Data

Privacy of big data is most important factor for the enterprises so we should have more efficient methods to protect the data. In this article, we proposed a novel mechanism, called Adaptive Firefly Laplace Mechanism (AFLM), to preserve differential privacy on Big Data to protect sensitive information among analyst. We have many existing methods for privacy preservation but each method has its own limitation and drawbacks. To overcome the drawbacks of existing privacy preservation methods such as both cryptographic techniques and data anonymization are analyzed with differential privacy method in this article.Privacy has become crucial in knowledge based applications. Proper integration of individual privacy is essential for data mining operations. This privacy based data mining is important for sectors like Healthcare, Pharmaceuticals, Research, and Security Service Providers etc. There are many algorithms available for clustering the big data. This article focused on the density based clustering algorithms for first phase. Then our proposed algorithm called Adaptive Firefly Laplace Mechanism algorithm is used for both finding sensitive data on clustered output, and to add noisy data instead of sensitive data to hide sensitive information from analyst.
REKONSTRUKSI KOTA KOLONIAL SALATIGA DAN KONTRIBUSI TEKNOLOGI GEOGRAPHICAL INFORMATION SYSTEM

Salatiga City was located on the hillside of Merbabu Mountain and on highland has fresh air and cool climate. Salatiga City also located on the strategist area, reachable from Semarang, Solo, Ambarawa, and Magelang. Salatiga is very interesting for Europeans that live there in the Colonial Era. The implication for Modern Salatiga is to many historical buildings with classical European style in Salatiga. There is a well-preserved building, but also the same building was not preserved and destroyed. The historical building is a cultural heritage and national treasure that can be used for many good things, such as science or economics. To raise the awareness of the folk about historical buildings, we need to make publications and educate the folk about how important the historical building was. To get the publication material and education material was held historical research with a technical approach in a form of using Geographical Information System as research tools. As expected from this research can raise the awareness of the folks about how important the historical building.
The phenomenon of verbal imagination: methodological problems

The presence of a wide range of views on the phenomenon of "imagination" as the psychological basis of creative activity to developing new material and spiritual values suggests that this phenomenon in the scientific view is still a problem.&#x0D; At the core of the problem is a contradiction: there is a creative activity that is carried out through imagination, but imagination itself as a phenomenon disappears during analysis, which makes it necessary to consider it based on a fundamentally new methodological approach. As a methodology proposed functional system approach.&#x0D; Considered, based on the proposed approach, the functioning of the verbal imagination in the process of creating a verbal image as an artificial system.&#x0D; In terms of the functional system approach, “verbal imagination” is defined as a metasystem - a complex of certain mental operations (actions) of a subject that arises and functions only when the subject needs to control and manage his cognitive processes during the creation of a verbal image.
CLOSE AND OPEN TASK AUTHORSHIP ATTRIBUTION: A COMPUTATIONAL AUTHORSHIP ANALYSIS

&lt;p&gt;Authorship analysis is one of the areas lies within forensic linguistics where the main task is to investigate the characteristics of a text in terms of its authorship. Specifically, authorship attribution examines the possibility of an author for having written the text by analyzing the author's other works. This experimental research addresses two problems: which author writes which text (using a closed task authorship attribution) and who writes each text (using an open task of authorship attribution). In doing so, this research uses R to do statistical computing employing both stylo() and classify() functions. Based on carried out experiments with 1-grams as a fixed variable, it is concluded that SVM algorithm may be best used in doing closed task authorship attribution for its 100% consistency, whereas for the open task k-NN algorithm may be best used since it reaches 94% consistency. In addition to open class task, stylo() function may perform better than classify() function since stylo() function provides results closer to the actual answer. As the legal system often challenges authorship analysis for not having a valid methodology, analyzing styles using stylometry and measuring the styles computationally may help forensic linguists to provide an adequate analysis for the legal system. Scientifically this research provides a framework of how to do authorship analysis computationally while practically it is projected can be used as a tool to detect plagiarism.&lt;/p&gt;&lt;p&gt; &lt;/p&gt;
THE ANALYSIS OF INFORMATION LITERACY SKILL THROUGH APLLICATION THE BIG 6 MODELS ON COLLEGE STUDENTS OF PGSD UNS KEBUMEN YEAR 2017

&lt;em&gt;This research analyzes the information literacy skills of undergraduate students class PGSD UNS Kebumen in daily lectures activities. Information literacy is ability to find, evaluate and use the information effectively. This research was conducted in September 2018. This research use a quantitative approach, which using questionnaire for data collection. The questionnaire was made based on The Big 6 Information Literacy Models. The conclusion of this research is that students calss of PGSD UNS Kebumen already doing six steps of The Big 6 : they dicuss with other in doing works, they prefer use search engine in finding information rather than searching in library, they doing simple searching strategies in finding information and they understand in using citation.&lt;/em&gt;
Mathematical Education Content In The Context Of Mathematical Literacy

The article discusses the search for a mechanism to update the content of mathematical education necessary to solve the problem of formation of mathematical literacy of graduates of primary school. The analysis of the state educational standards of the first and second generations, control measuring materials for carrying out the state final certification in mathematics in the context of results of the international monitoring research PISA (Programme for International Student Assessment) in which functional literacy of pupils in the field of mathematics is estimated, and also conclusions of the Russian national researches of quality of mathematical education is carried out. A link between the standardization of common education, changes in the content of mathematical education from one side and the improvement of the results of the Russian participants of PISA in the last cycles of this monitoring research from another side is established. It is proposed to allocate additional components in the content of education which are “Logic”» to ensure the development of skills of logical reasoning, “Mathematics and the outside world” to ensure the ability to apply the mathematical apparatus in real situations, and “Mathematics in the science and technology”, responsible for the formation of interdisciplinary connections and experience in the application of mathematics to the study of other school subjects. The areas for improvement of state examination materials are shown.
Prediksi Kelulusan Mahasiswa menggunakan Algoritma Naive Bayes (Studi Kasus 5 PTS di Banda Aceh)

The e-questionnaire application that researchers built using CodeIgniter and React-Js This study aims to data mining by using rapidminer tools to collect student data from the Feeder application page from the class of 2010-2014 which is assumed that the student class has been declared graduated in 2018. The data was collected from 5 (five) Private Universities in the City Banda Aceh. then by observing the graduation level using data mining can bring a considerable contribution to educational institutions, in an effort to improve curriculum competency in Higher Education, it is expected that the results of data mining can make reference to curriculum standards as a form of graduate competency improvement. The research method uses the Cross-Industry Standard Process for Data Mining (CRISP-DM) which is used as a standard data mining process as well as a research method with stages starting from Business understanding, data understanding, data preparation, modeling, evaluation, and deployment. The results showed that the data mining algorithm for graduation prediction based on the selected pass accuracy attribute revealed that the prediction level was uniform with the algorithm used, Naïve Bayes, prediction accuracy was 84%. The data attributes that were found to have significantly influenced the classification process were the GPA and Study Length. The results obtained that students who graduated by 60% are students who are educated in ASM Nusantara and AMIK Indonesia, while in Banda Aceh STIES and Serambi University Mecca the prediction of graduation is 52%. Another thing is different from STIA Iskandar Thani where the prediction of graduating is only 48% and not passing on time is 52%. The results of this prediction can reveal and become a recommendation for prospective students or academics to increase the quantity of graduates and increase student confidence in tertiary institutions.Keywords:Prediction, Student Graduation, Naive Bayes Algorithm.
Cloud-assisted contracted simulation of quantum chains

The work discusses validation of properties of quantum circuits with many qubits using non-universal set of quantum gates ensuring possibility of effective simulation on classical computer. An understanding analogy between different models of quantum chains is suggested for clarification. An example with IBM Q Experience cloud platform and Qiskit framework is discussed finally.
THE CONSTRAINTS ANALYSIS OF IMPLEMENTING SCHOOL LITERACY MOVEMENT AT SDN 2 KALIBENING

&lt;p&gt;&lt;em&gt;School literacy movement is one of the efforts to increase students' interest in reading and writing, so it needs to be applied in elementary school. This study aims to analyze the constraints with regard to implementation of the school literacy movement at &lt;/em&gt;&lt;em&gt;SDN&lt;/em&gt;&lt;em&gt; 2&lt;/em&gt;&lt;em&gt; &lt;/em&gt;&lt;em&gt;Kalibening, Karanggayam, Kebumen. This research is a descriptive study with research subjects involving 1 &lt;/em&gt;&lt;em&gt;principal&lt;/em&gt;&lt;em&gt;, 3 classroom teachers (grade 4, 5 and 6) and 15 students (grades 4, 5 and 6) state elementary school 2 of Kalibening. The research instruments used were questionnaires and interviews. Data analysis technique uses qualitative descriptive.&lt;/em&gt;&lt;em&gt; &lt;/em&gt;&lt;em&gt;The results showed that: (1) School literacy movement was still focused on literacy aspects of reading textbooks, (2) Teachers were less maximal in assisting students when implementing school literacy movements, and (3) The lack of facility to support the school literacy movement&lt;/em&gt;&lt;em&gt;.&lt;/em&gt;&lt;em&gt;&lt;/em&gt;&lt;/p&gt;
Fault Tolerance using Fitness Algorithm in Cloud Computing

With the immense growth of internet and its users, Cloud computing, with its incredible possibilities in ease, Quality of service and on-interest administrations, has turned into a guaranteeing figuring stage for both business and non-business computation customers.. The dynamic environment of cloud results in various unexpected faults and failures.as the number of request increases over the datacenter then the failure probability load is also increases .so the requested task should be balance so there is minimum failure occur over the datacenter.so to overcome this issue ,we proposed a adaptive genetic algorithm using the levenberge marquaradt algorithm(LM) which overcome the difficulties that arise due to fault and existing implemented algorithm .the paper analyze the fault on different parameter in term of request count and request failed
The Information Era: Correlation Between Online And Offline Education

In this article, we present some ideas voiced at the ‘Online and offline education: a methodology for decision-making’ roundtable held at Moscow State University in October 2018. The roundtable discussed various aspects of the modern information era, in particular, those pertaining to the system of relations between online and offline education. Participants in the roundtable shared a common understanding of the problems of education today: the need for a proper balance between classical dialogue and modern digital opportunities rather than for offline education being replaced by online education. In this article, we analyse how these forms of education correlate in concrete individual cases. The roundtable demonstrates that, at the stage of mastering the language of a discipline, an online course cannot be substituted for direct dialogue with the teacher. Online feedback is mechanistic, and it does not compensate for the lack of personal communication. Participants in the roundtable quoted studies by Western economists, psychologists, and philosophers that there is no single reliable source proving that transition to online education reduces costs and improves students’ intellectual abilities, knowledge, and competencies. Online education is a form of modern education that is in high demand, yet it is one of the tools assisting classical offline education. The educational process should have a subjective and humanitarian focus.
Moral and psychological stability as a condition of constructive life perspective of the personality

The article presents a theoretical generalization and empirical study of psychological features of the process of becoming moral-psychological stability of modern youth. The paper systematizes and generalizes the main theoretical and methodological approaches to modeling strategies of moral behavior in the context of personality socialization. As an important moment of subjective personality development in the adolescent-genesis period of Genesis being defined moral and psychological stability as a condition of a constructive life perspective of the youth personality. This methodological setup is relevant to the essential nature of the psychological practice of educational activity in the dimensions of humanization of modern society.&#x0D; An empirical examination of the substantive characteristics of the personal profile of schoolchildren, students and cadets of adolescence and youth showed that the field of respondents' moral qualities was unclear. The empirical analysis of the dimensions of moral and psychological stability of modern youth has concluded that Ukrainian society needs a profound mental transformation, which will lead to harmonization of moral aspects of behavior and the establishment of patriotism of schoolchildren and students in a fragile society.