Reviewerly/exHarmony huggingface dataset:
Persepsi Siswa terhadap Penggunaan Buku Digital pada Pembelajaran Sejarah

History learning in schools needs to adapt to information technology in the era of the industrial revolution 4.0. The purpose of this study is to describe students' perceptions of digital books in history lessons in high school. This research method uses descriptive qualitative using research instruments in the form of questionnaires and interviews. This research was conducted in a school in Lampung Province with 20 students as research subjects. The results showed that most students agreed with digital books in implementing history learning in class. Digital books are expected to be teaching materials that can increase students' success in learning history. The implication of this research is that teachers need to be able to adapt to technological and information developments in the current industrial revolution era.
ANALYSIS OF MUSICAL ART TEACHING METHODS IN THE PARADIGM OF THE CONSTRUCTIVIST APPROACH

The article considers the problem of choosing methods of teaching music in educational institutions in the paradigm of constructivist approach to the organization of educational activities. The purpose of the article is to provide an overview of some general approaches and strategies for teaching music based on the constructivist theory of learning in secondary school. Among the analyzed methods are a lecture, demonstration and modeling, opening method, video showing, tour, role play, project, survey technique, opening method. The article also highlights the factors that determine the choice of teaching method. The main tasks are as follows: to determine the key characteristics of the constructivist approach to learning, to analyze the key provisions of the basic theories of cognitive cognition; to analyze the main methods of teaching music in terms of their coordination with the constructivist approach to learning. Theoretical and empirical methods were used in the study. During the study, theoretical and methodological sources on the research problem were analyzed, the potential of teaching methods was practically assessed in order to organize the educational process in the discipline «musical art» in the context of constructivism theory, the factors determining the choice of teaching methods were identified. Analysis of the problem of selection of methods of teaching music in the paradigm of the constructivist approach allows us to note that the theory of constructivism provides for the possibility of personal construction of knowledge and educational activities by students. Under such a system of teaching, students' knowledge is an individual, variable interpretation of the presented and assimilated information, which provides a conscious perception of music and deep reflection during the educational process. The novelty of the study lies in the study and application of the theory of social constructivism in order to optimize the selection of teaching methods for the successful implementation of the educational process of music art in educational institutions. Key words: constructivism, cognitive cognition, cognitive development, lecture, method of demonstration and modeling, method of video showing, method of interrogation, method of exercises, method of learning through discovery, discussions and debates, role play, project, excursion.
ANALISIS PERFORMA DAN KECEPATAN KOMPUTASI ALGORITMA K-MEANS DAN K-MEDOIDS PADA TEXT CLUSTERING

The large number of theses will certainly make it difficult to find categories on thesis topics that have been written by students at a university. One of the uses of the Text Mining method is being able to group thesis objects into the number of clusters formed by the clustering algorithm. This study aims to compare 2 clustering algorithms, namely the K-Means and K-Medoids algorithms to obtain an accurate evaluation of the performance and computational time in the case of thesis clustering, so that relevant topics can be grouped and have better clustering accuracy. The evaluation parameter used is the Davies Bouldin Index (DBI) which is one of the testing techniques on clustering results, with the distribution of training data and testing data using cross validation using a repetition parameter of 10 folds iteration. From the results of the study with the Term Weighting condition used is Term Occurrences and using the N-Grams value is 2, it can be concluded that the K-Means algorithm has a better DBI value of -0.426. Meanwhile, the range of DBI values owned by K-Medoids with the same conditions has a DBI value of -1,631. However, from the visualization results using t-SNE with the same supporting parameters, there are options that can be used, namely the number of clusters is 6, and the DBI value is -1.110. For testing the computational time in the clustering process of 50 thesis documents, the K-Means algorithm has an average time of 2.5 seconds while the K-Medoids algorithm has an average time of 261.5 seconds. The computer specifications used are Asus ZenBook UX425EA.312 with the processor used is 11th Gen Intel® Core™ i5-1135G7 @ 2.40GHz @ 2.40GHz, the graphics card is Intel® Iris® Xe Graphics, the RAM used is 8GB, with storage of 512GB SSD.
THE ROLE OF MUSIC LESSONS IN THE COGNITIVE DEVELOPMENT OF PUPILS

The article examines the problem of the influence of the process of teaching the subject «musical art» on the cognitive development of pupils. The purpose of the article is to clarify the specifics of the impact of the educational subject «musical art» on the cognitive sphere of the child based on the analysis, comparison and generalization of theoretical and practical experiences on the specified problem, as well as to determine the factors of increasing the effectiveness of the influence of educational methods on the cognitive development of pupils. The main tasks are defined as follows: to form the concepts of «cognitive development» and «cognitive skills», to analyze the key provisions of the main theory of cognitive cognition; to carry out an analysis of the main processes of music education from the point of view of the leading educational and cognitive activity. The research used theoretical and empirical methods. In the course of the research, theoretical and methodological sources on the research problem were analyzed, the leading types of educational activities in music lessons were practically are evaluated depending on their influence on the students' cognitive sphere, and the factors that determine the effectiveness of the educational impact of the music learning process on the cognitive development of pupils were determined. The analysis of the problem of cognitive development in the process of learning music allows us to note that musical learning of children is associated with an increase in sound sensitivity, as well as with the improvement of verbal abilities and general reasoning skills, which are examples of cognitive skills, and therefore a direct connection between learning music and effectiveness of educational activities as a whole. The novelty of the research lies in the study and application of the theory of cognitive learning in music lessons for the successful implementation of the educational process in educational institutions. Key words: cognitive cognition, cognitive development, cognitive skills, critical and logical thinking, memory, formation of concepts, problem solving, imagination, flexibility and plasticity of the mind.
DESAIN APLIKASI MODUL PEMBELAJARAN BAHASA INDONESIA BERBASIS ANDROID

The module is a book written with the aim that students can learn independently and in the module contains the basic components of teaching materials so that students can understand easily. The advantages and disadvantages of the module are that students can learn independently using the module and the teacher is no longer the only source of learning for students. Education has used various ways in theteaching and learning process. One of the general users of website users in public schools is the use of web-based learning aplications that contain tutorials, exercises or vidios that are developed and uploaded to web.
Methodological Changes in the Teaching of English as a Second Language During the Pandemic to University Students

The teaching of English as a second language has always prevailed in education, as it is essential for students at the higher education level to prepare them for a good job position. Over the years, various methodologies have been used to make this effective. In the 21st century, technology was integrated into the teaching and learning process with virtual classes due to the arrival of the virus pandemic where study centers closed. During this transition, many changes and questions were generated, mainly in teachers and students such as the use of platforms, teaching and learning techniques, access to a good Internet, obtaining devices to receive and give classes, the preparation of classes virtually by the teacher and the use of different techniques and evaluations to involve students in their learning process. Similarly, the economic, logistical, and methodological levels affected both teachers and students in this change to virtual classes. The purpose of this research was to know the methodological changes that arose in the teaching of the English language in higher education centers due to the pandemic. The methodology of the study is quantitative; the participants were students of the Faculty of Informatics, between the ages of 19 to 45 years old, selected by means of sampling. The data was obtained through Google Forms, which was made, and administered electronically. The results were that they have made use of digital platforms for learning the English language, having as limitations the government support in obtaining devices and access to good internet for those who do not have access.
Analisis Banjir Genangan di Kawasan Tembalang dan Sekitarnya

Semarang City has a low and flat topography in several areas so that it has a high risk of inundation during the rainy season with a spatial distribution in the city center area. In 2022 inundation floods have inundated 877.66 hectares, one of which is in the Tembalang area and its surroundings with a height of around 275 MDPL which occurred in 20 locations with an area of around 33.62 hectares, where the area is the downstream part of the Babon Watershed. The results of the analysis of rain in the Babon watershed area for 20 years show that it is relatively stable, not too much variation, where the results of calculating the rational flood discharge for 2022 with a return period of 2 years are around 25.80 m³/s. Furthermore, the morphometric analysis of the watershed shows that the shape of the Babon watershed is relatively elongated with a circularity ratio &lt;0.50, the density index of the river is 0.25 – 10 km/km² which is in the medium density category with a relatively long Time Concentration (TC) of around 3.2 hours so that it is less thus impacting flooding downstream. The Babon watershed runoff coefficient is affected by land cover conditions, where the interpretation results show that there was a change in land cover from 2002 – 2022 for the area of built-up land which increased by 708.44 hectares and the vegetation area decreased by 486.77 hectares. Analysis of channel capacity shows that there is potential for overflow from existing channels in 7 sub-watersheds which will result in inundation. The conclusion of this study shows that rainfall over the past 20 years has been relatively stable and the morphometry of the watershed has not had much impact on downstream flooding, the main river capacity of the Babon DAS is still sufficient to accommodate the planned flood discharge with a return period of 25 years. So that inundation that occurs is more caused by changes in land cover and drainage capacity in the downstream.
A Study on Forecasting of Inter-Korea Air Passenger Demand Using System Dynamics

This study aims to forecast of Air Passenger Demand between South Korea and North Korea using the system dynamics analysis methodology that is based on the system thinking. System dynamics is not only a tool that makes the systematic thought to a model but also a computer program-based analysis methodology that mathematically models the system varying according to time variation. This study analyzed the causal relationship based on the interrelation among variables and structured them by considering various variables that affect aviation cooperation from the perspective of Air passenger demand forecasting. In addition, based on the causal relationship between variables, this study also completed the causal loop diagram that forms a feedback loop, constructed the stock-flow diagram of Inter-Korean model using Vensim program. In this study, Air passenger demand was using by the simulation variable value into System Dynamics. This study was difficult to reflect the various variables constituting the North Korea environment, and there is a limit to the occurrence of events in North Korea.
A further exploration of deep Multi-Agent Reinforcement Learning with Hybrid Action Space

The research of extending deep reinforcement learning (drl) to multi-agent field has solved many complicated problems and made great achievements. However, almost all these studies only focus on discrete or continuous action space and there are few works having ever used multi-agent deep reinforcement learning to real-world environment problems which mostly have a hybrid action space. Therefore, in this paper, we propose two algorithms: deep multi-agent hybrid soft actor-critic (MAHSAC) and multi-agent hybrid deep deterministic policy gradients (MAHDDPG) to fill this gap. This two algorithms follow the centralized training and decentralized execution (CTDE) paradigm and could handle hybrid action space problems. Our experiences are running on multi-agent particle environment which is an easy multi-agent particle world, along with some basic simulated physics. The experimental results show that these algorithms have good performances.
Secure Data Encryption and Decryption Using Social Media

The objective this work is to design a secure data transmission process using Social Networks. Security of information in a Personal computer is expected to shield basic information and data from different parties. Now days millions of the people are using messengers and other data transferring apps which can be easily hacked. One way of our objective is to protect data by applying the science of steganography. In this paper we propose an advance arrangement of encoding information that combines the highlights of steganography alongside image and sound information hiding. This system will be more secure than different methods visual steganography is one of the safe types of steganography accessible today. It is most usually executed in image files. In this work the secret message is encrypted before the real procedure begins the hidden message is encoded utilizing LSB strategy and secret key is utilized for installing and extraction of document. This encryption technique is basic, productive and of symmetric sort where just receiver and sender knows the secret key. As similar as inserting text inside an audio and here also after embedding our ear cannot be able to find the difference in both the audio.
ANALYSIS OF THE IMPORTANCE OF THE BANK LOANS AS FINANCING SOURCE OF SMEs IN KOSOVO AND NORTH MACEDONIA

SMEs financing is one of the most important factors that influence SMEs growth and development in every country. Among researchers around the world this is always an important topic which needs continual research from different approaches. Knowing the importance of SMEs on the economic development of every developed and developing country and being aware that without financing the SMEs growth and development isn’t possible it is very importance to analyze the financing sources of SMEs in both neighbor countries. Bank loans are considered as the most important external financing source for SMEs around the globe. In this paper we are going to analyze the importance of bank loans as financing sources of SMEs based on comparative analysis between Kosovo and North Macedonia. Research methodology is compound by primary and secondary data, where, primary data was collected through quantitative research conducted on 300 SMEs in the Republic of Kosovo and 300 SMEs in the Republic of North Macedonia, while, the secondary data we have collected from state institutions, EU reports, research reports, etc. The results revealed that in both countries more than 50% of SMEs use bank loans as external sources of financing. The findings suggest at the end for some future lines of research and provides recommendations for the main stakeholders of this field of study.
Post-quantum cryptographic algorithm identification using machine learning

This research presents a study on the identification of post-quantum cryptography algorithms through machine learning techniques. Plain text files were encoded by four post-quantum algorithms, participating in NIST's post-quantum cryptography standardization contest, in ECB mode. The resulting cryptograms were submitted to the NIST Statistical Test Suite to enable the creation of metadata files. These files provide information for six data mining algorithms to identify the cryptographic algorithm used for encryption. Identification performance was evaluated in samples of different sizes. The successful identification of each machine learning algorithm is higher than a probabilistic bid, with hit rates ranging between 73 and 100%.
Persepsi Pengguna Terhadap Aplikasi Perpusda Wonosobo Di Dinas Kearsipan Dan Perpustakaan Daerah Kabupaten Wonosobo Dengan Pendekatan Pieces Framework

The purpose of this research is to determine the user's perceptions for the Wonosobo Library applications at the regional archives and libraries office of Wonosobo Regency with the PIECES framework approach. This research is included as descriptive quantitative research. The subjects in this research were active members of the Wonosobo Library application. The object of this research is the user's perception for the Wonosobo library application of the regional archives and libraries office of Wonosobo Regency. The sample obtained from the calculation with the Slovin formula are 100 respondents. Meanwhile, the sampling technique used is incidental sampling. This research has a single variable, namely the user's perception of Wonoosobo Library applications. This research instrument uses the PIECES framework, namely performance, information, economic, control, efficiency, and service. The scale used in this research is a Likert scale with 4 answer options. The data collection techniques in this study used 4 ways, namely questionnaires, observations, interviews, and documentations. The data analysis of this research used the mean and grand mean formulas. The results showed that the overall calculation of the sub-variables showed value of 3.07 which is on the scale range was included as a good category. The lowest sub-variable value is at 3.00 in the performance sub-variable which is included as a good category. The highest percentage of indicators shows the number 3.15 in the sub-variable economy (economic) which is included as a good category.
Pengembangan Game Edukasi Pengenalan Rambu-Rambu Lalu Lintas TK Kemala Bhayangkari 31 Salatiga

Educational game is a game which is specifically designed as a tool to accomplish educational needs. Therefore, it has to be projected in an exact precision to achieve its goal: educating, and increasing the user knowledge and skills. &#x0D; There are some problems which frequently happened at TK Kemala Bhayangkari 31 Salatiga, firstly, the number of props of traffic signs is limited so it is not proportional to the number of meetings in the existing curriculum and students must repeat the same material. Secondly, there isn’t suitable learning support media to add props to traffic signs that are still lacking.&#x0D; The software used in this game development was Adobe Flash CS6. The research was conducted through R&amp;D; Research and Development method by processed through some stages. First, problem identification stage, then, data collection, product design, design validation, design revision, and the final step was the product trials. The validation was carried out by the expert validators and product user.&#x0D; Based on the research conducted, it concluded that this game has 43 signs which fulfill the number of signs that must be taught to students according to the curriculum at TK Kemala Bhayangkari 31 Salatiga, 18% which is most often found on the road from the total number of traffic signs in the Minister of Transportation Regulation No. 13 years 2014.&#x0D;
PROTECTION OF DOCUMENTS WITH THE HELP OF FRACTAL IMAGES FORMED BY A RANDOMIZED SYSTEM OF ITERATING FUNCTIONS

This article examines the results of the development of the document protection algorithm with the help of fractal images formed by a randomized system of iterative functions of RSIF. This algorithm consists in building a fractal image which is applied to the document and built on the basis of the document number. Each digit of the document number will add two iterative functions to the RSIF, except for the digit 0. The fractal image, constructed using the algorithm, depends on the number of digits, the order of the location of the digit and its value. The algorithm for constructing a fractal image in calculations does not require large computing power, the algorithm does not use the entry of a cycle into a cycle and recursive functions. It is quite optimized. Document verification includes a double check of the document number, and it is a fairly simple verification mechanism. This algorithm is interesting that when even one digit is changed, the fractal image changes radically. The use of the algorithm quickly and qualitatively makes it possible to protect documents and carry out their verification.
IMPLEMENTASI K-MEANS DAN K-MEDOIDS DALAM PENGELOMPOKAN WILAYAH POTENSIAL PRODUKSI DAGING AYAM

Livestock is the main sector in the effort to fulfill food needs for people in Indonesia and has the potential to maintain the availability of animal food. Guidance and socialization to provide information and knowledge in the field of food production from animals, especially in areas with low levels of chicken meat production need to be done. The research objectives were the use of the K-Means and K-Medoids algorithms for grouping chicken meat production areas in the province of West Java and the use of the Davies Bouldin Index (DBI) value in choosing the best algorithm. The application of K-Means and K-Medoids was carried out through the data mining process phase, namely data collection, data preprocessing, data mining implementation, evaluation of the number of clusters, determination of the best algorithm, and clustering results. The K-Means algorithm with 5 clusters can optimally classify potential areas for chicken meat production in West Java province with a DBI value of 0.273. The results of clustering can be used in business processes related to information on the amount of chicken meat production in the West Java region as a reference in the pattern of guidance to increase animal food production, develop chicken farming potential, and develop animal feed distribution potential. Keywords: clustering, chicken meat k-means, data mining, k-medoids