Reviewerly/exHarmony huggingface dataset:
Pelatihan Literasi Teknologi berbasis Ajaran Ki Hajar Dewantara untuk Mencegah Cyberbullying

Very rapid technological developments can have positive and negative impacts on society. One negative effect that needs to be watched out is cyberbullying. This community service is carried out online targeting teenagers, educators, and parents. This service aims to provide insight related to cyberbullying, parenting, and the importance of technological literacy in assisting adolescent development so that it can prevent cyberbullying. The method of implementing this service is discussion, practice, and question and answer. Online community service by way of Whatsapp lectures was attended by 95 people. The results of the dedication showed that the participants seemed enthusiastic in attending Whatsapp lectures with this theme. Cyberbullying and media literacy become new insights for participants. Curiosity towards the implementation of the teachings of Ki Hajar Dewantara is increasing. Parents and educators should be able to attend training regularly so that they can optimally assist and develop the potential of children, especially adolescents, so they avoid cyberbullying.
Swarm-Like Distributed Algorithm for Scheduling a Microservice-Based Application to the Cloud Servers

Introduction of virtualization containers and container orchestrators fundamentally changed the landscape of cloud application development. Containers provide an ideal way for practical implementation of microservice-based architecture, which allows for repeatable, generic patterns that make the development of reliable, distributed applications more approachable and efficient. Orchestrators allow for shifting the accidental complexity from inside of an application into the automated cloud infrastructure. Existing container orchestrators are centralized systems that schedule containers to the cloud servers only at their startup. In this paper, we propose a swarm-like distributed cloud management system that uses live migration of containers to dynamically reassign application components to the different servers. It is based on the idea of “pheromone” robots. An additional mobile agent process is placed inside each application container to control the migration process. The number of parallel container migrations needed to reach an optimal state of the cloud is obtained using models, experiments, and simulations. We show that in the most common scenarios the proposed swarm-like algorithm performs better than existing systems, and due to its architecture it is also more scalable and resilient to container death. It also adapts to the influx of containers and addition of new servers to the cloud automatically.
A major update of the International GLE Database: Correction for the variable GCR background

The main detector to provide data to study highly energetic (above ≈400 MeV) solar particles is the network of ground-based neutron monitors (NMs).Solar events recorded on the ground are called ground-level enhancements (GLEs).All GLE-related data from the NM network are collected in the International GLE Database (IGLED, https://gle.oulu.fi),which provides formal NM count-rate increases above the constant pre-increase level which is due to galactic cosmic rays (GCR).However, the basic formal assumption that the GCR background level remains constant throughout a GLE event is often violated.We have carefully revised the IGLED and provided a new data set of de-trended NM count-rate increases that accounts for the variable GCR background.This had led to a significant revision of the corresponding integral omnidirectional fluences of solar particles reconstructed from the GLE data.The database of the de-trended NM count rate is revised for most GLE events since 1956.Integral omnidirectional fluences were re-assessed for 58 GLE events and parameterized for 52 reasonably strong events by applying the modified Ellison-Ramaty spectral shape.This forms a basis for more precise studies of parameters of solar energetic particle events and thus for solar and space physics.
Real Time Night Vision Surveillance using Improved Dark Channel Prior

Videos taken under low lighting conditions usually result in severe loss of visibility and contrast and are uncomfortable for observation and analysis. Night vision cameras that cater to the needs are expensive and less versatile. To be cost effective and extract maximum information from videos taken in low lit conditions, video enhancing techniques must be used. Though there are many night vision enhancement techniques available in literature, this paper particularly emphasizes about Improved Dark Channel Prior algorithm and its results. This approach suits well for real time night video enhancement. It has been found that a pixel-wise inversion of a night video appears very similar to the video obtained during foggy days. The same idea of haze removal approach is used to boost the visual quality of night videos. An improved dark channel prior model is presented that is integrated with Gaussian Pyramid operators for local smoothing. The experimental results show that the proposed method can boost the perceptual quality of detailing in night videos.
Investigating the drag-based model parameters through statistical methods

&amp;lt;p&amp;gt;Due to their simplicity and relatively short computational time, empirical models for Solar Wind Transients, based on a restricted number of assumptions and on the values of a small set of parameters, play an important role in Space Weather forecasting. For this reason, an optimal choice of values for the model parameters is of critical importance in this approach. In this work, we compiled a list of CME events by merging and cross-referencing several databases and made use of such experimental data to evaluate statistical distributions for the model parameters of a chosen forecasting model for ICME arrivals, namely the Drag-Based model. Our results lead to several considerations and refinements to be implemented in the future in this and other forecasting models.&amp;lt;/p&amp;gt;
Pengembangan Bahan Ajar Cerita Rakyat Berbasis Komik Untuk Penanaman Kemampuan Literasi Siswa Sekolah Dasar Kabupaten Rejang Lebong

This research aimed to develop folklord teaching material based on comic and the effectifness in instilling elementary student literacy skill on Rejang Lebong. The research used research and development method (R&amp;D). The subject on this research were the 5th grade student of elementary school number 85 on Rejang Lebong as control class, the 5th grade student of Al Latif Unggulan Aisyiyah on Rejang Lebong as first class experiment and the 5th grade student of elementary school number 10 on Rejamg Lebong as second experiment class. Based on result of this research and the explanation. In conclution that (1) the development of teaching material began with preliminary study through student and teacher interview. Then the interview result were adjusted to the theory and the observation become a draft model that would be validated by experts. Revised draft model would be tested in small scale and large scale.AFter that the final test product would be conducted by pretest and postest technique and the gain score would be analized. (2) folklore teaching material based on comic was effective to instill student literacy. g-score of the experiment class has 0.63 for kognitif aspect and 0.57 for psikomor aspect, while the g-score in control class has 0.16 for kognitif and psikomotor aspect.
Improved Performance of Image Steganography Technique using Quantum Scrambling and Pixel‘s Intensity Adjustment

Steganography is the art for hidden communication. It provides the solution for secrete data communication. Trustworthy steganography techniques should provide the data protection when it is being transferred and fulfill the principles of security. This dissertation proposed a efficient steganography technique based on Quantum Hilbert image Scrambling (QHIS), alpha blending operation, and genetic algorithm based pixel’s least significant bit swapping. Every steganography technique has two processes; encoding and decoding. In the encoding process of proposed steganography technique, initially secrete image is scrambled using QHIS then apply alpha blending (i.e type of mixing) operation on both the scrambled image and cover image, which results stego image. The stego image picture quality can be improved by allying GA based pixel’s adjustment. The strength of proposed steganography technique is shown in experimental results by testing it on different image quality parameters (i.e. Peak Signal to Noise Ratio, Normalized Cross Correlation, Average Difference, Maximum difference, Structural contents).
ESTIMASI PARAMETER ANTENA MIKROSTRIP MENGGUNAKAN JARINGAN SYARAF TIRUAN

The parameters of a rectangular microstrip antenna are intensely determined by the permittivity of the substrate, the thickness of the substrate, and the resonant frequency. Generally, to get the antenna parameters, a complex mathematical formula is needed to solve. For this reason, an intelligent method is offered to determine antenna’s parameters more easily. In this study, an artificial neural network method with backpropagation algorithm is used to overcome the problem. The network is trained using the Levenberg–Marquardt algorithm. The data used were consisting of 80 training data and 15 testing data. The results have shown that the artificial neural network learning method was successfully utilized to calculate the patch length, the patch width, and the feed point of a rectangular microstrip antenna, where the precision of the resonant frequency obtained of 93.33% at an error of ≤ 0.5%, and 100% at an error of ≤ 1%. However, the artificial neural network method with backpropagation algorithm is quite accurate for determining the parameters of rectangular microstrip antennas.Keywords: Artificial neural network, Backpropagation, Microstrip antenna, Resonant frequency
Analysis of vowel addition or deletion in Continuous Speech

In order to improve the recognition performance, the articulation of the transcription is very important in the process of training. For continuous speech, the essential characteristics of various speakers are pronunciation variation, over focused or inadequately highlighted words can results the waveform misalignment in the sub word unit margin. Because of the deviation in the articulation leads into misalignment when this is compared with articulation dictionary. So the deletion or insertion of the sub word is necessary. This happens because for each expression, the transcription is not precise. This paper presents the corrections in the transcription at the sub word level utilizing sound prompts that are presented in the waveform. The transcription of a word is fixed Utilizing sentence-level transcriptions with reference to the phonemes that create the word. Specifically, it clarifies that vowels are either deleted or inserted. To help the proposed contention, errors in persistent discourse are validated utilizing machine learning and signal processing tools. A programmed information driven annotator abusing the inductions drawn from the examination is utilized to address transcription errors. The outcomes show that rectified pronunciations lead to higher probability for train expressions in the TIMIT corpus.
MODERN COMPETENCIES IN THE TECHNO-CULTURE OF FUTURE TECHNICAL SPECIALISTS

The article analyzes the modern pedagogical conditions, factors, stages, components, methods of developing the techno-cultural culture of students of higher technical education institutions. The article also explores the pedagogical mechanisms of ensuring the integration of social and technical knowledge in the formation of axiological attitudes in the conduct of technical creative activities of students.
Implementasi Data Mining Algoritma Apriori Pada Sistem Persediaan Bahan Bangunan Di Karang Sari

The development of construction in Indonesia is increasing rapidly, therefore building materials are needed to be used in building a construction. Every building materials store must have a transaction system and an inventory system. Whether it's an efficient or less efficient inventory system. For this reason, this research was conducted to help the owner or manager of a building shop to more easily determine the combination pattern of supplies and purchases of building goods. The a priori algorithm is used in this study because the a priori algorithm is suitable in connecting the itemset combination patterns. Therefore the a priori algorithm is suitable in determining the purchase combination pattern in order to get a good inventory system. And from the process carried out, a confidence value of 75% was obtained, not only that this research was also assisted by a priori algorithm supporting application, namely the Tanagra application.
Pengaruh Media Pop-Up Book Terhadap Hasil Belajar Sejarah Indonesia Kelas X SMA Negeri 6 Padang

The aim of this research is to find out the effect of application of pop-up book media in Indonesian History Lessons in Class X toward learning outcomes of SMAN 6 Padang. In this study, the pop-up book is done by students because with direct involvement in the learning process then student will be more understanble and cognitve will increased. This research is quantitative which using experiment method. The sample was taken using cluster random sampling technique. The sample of this research was students from class “X MIPA 1” as control class and class “X MIPA 3” as exsperimental class. Data collecting by giving a pretest and post-test using objective questions as many as 20 questions. The data were analyzed by using normality test, homogeneity test and hypothesis test. The average value of the pre-test results of class “X MIPA 1” was 61.25 and the class “X MIPA 3” was 60.63. The average value of the post-test results of class “X MIPA 1” was 71.25 and the class “X MIPA 3” was 82.8. The data were analyzed quantitatively by using t-test with the help of SPSS 23. The t-test obtained the significance value (Sig. 2-tailed) was 0.000 &lt; (smaller than) 0.05. It can be concluded that there is an effect of the Pop-up Book media in Indonesian History Lessons in Class X toward learning outcomes of SMAN 6 Padang.
Alexander TSESIS, Free speech in the balance

Este artículo reseña: Alexander TSESIS, Free speech in the balance, Cambridge University Press, New York 2020, 234 pp.
DEVELOPMENT OF CREATIVE PERSONALITY ABILITIES BY MEANS OF DEVELOPING TRAINING IN THE SYSTEM OF MATHEMATICAL EDUCATION

The new Ukrainian school promotes the direction of education on the formation and creative development of the student as a person. Formation of competencies of those who study is a priority direction of education in Ukraine. There is a process of modernizing education system. There is a need to apply technology and training techniques that actualize the subjective experience of someone who is taking into account such important learning components as motivation and emotional-value component. Organization of educational process in which the main goal is to transfer knowledge, skills and skills has a brake effect on the development of a creative personality capable of making decisions and to think independently. There is a problem of learning, choosing an updated pedagogical system of study, in which in a new Ukrainian school, attention is focused on the application of a competent-activity approach. Developing training is a personally oriented model of study, the main task of which is the development of a person capable of carrying out search and research activities. In the system of developing learning it is possible to maximize the disclosures of those who are taking into account their educational needs. The main goal of developing training is the formation of mental thinking, which provides for self-learning and achieving new results. The purpose of the article is to cover the opportunities for the development of creative abilities of the individual, which can not only think independently, but also to find, formulate and prove new mathematical statements by implementing the basic developing goals. A comparative analysis of the results of the study of the basic provisions of developing training with the theoretical principles of a new Ukrainian school is made. Two copyright tasks of geometry are proposed, according to which the possibilities of developing learning are demonstrated, based on the possession of mental activity and ability to apply them in modified conditions.
THE CASE BASED REASONING METHOD TO DIAGNOSE THE STRESS LEVEL OF STUDENTS FINAL SEMESTER

CBR (Case-Based Reasoning) is a method that can provide a solution to a new previous case based on the closeness between the old case and the new problem case, on the knowledge base with new cases from what happened, case-based reasoning has the advantage that this method can be used in building a system that is based or comes directly from the knowledge of an expert, the source of this expert's knowledge is by obtaining from the collection of handling cases of old symptoms from an expert, so that the case-based reasoning method can solve a new problem so that with these stages the application of the method CBR can later produce an application that results in a determination of the level of stress symptoms, therefore the researcher tries to apply the method into a stress level diagnostic application which is expected to be able to help students find out the level of stress they are experiencing which aims to make the research results this can be applied to an application
PERANCANGAN SISTEM INFORMASI ABSENSI KARYAWAN PADA KANTOR SATPOL PP DAN WH ACEH

The Employee Attendance Information System is one of the data processing activities at the Satpol PP and WH Aceh Offices, to get information about attendance to be more targeted and easy to obtain. In writing this Final Assignment (TA), the author only discusses the problem of attendance and data management mechanisms at the Satpol PP and WH Aceh Offices and designs an Employee Attendance Information System using Visual BASIC.NET. The purpose of writing is to understand the problem of attendance and data management at the Satpol Office. PP and WH Aceh as well as making auxiliary applications about Employee Attendance Information Systems using Visual BASIC.NET, the collection of data needed in writing this report was obtained by two methods, namely literature studies related to literature, library books and other scientific works, studies field by conducting interviews and direct observation of objects related to this Final Project (TA). Employee Attendance Information System is carried out by one of the administrative staff in the field of administration to record and input attendance data. From the results of the study, it can be concluded that the Employee Attendance Information System at the Satpol PP and WH Aceh Offices has followed procedures and uses computers with the Visual BASIC.NET 2010 language program and Microsoft Access as the database.
Speech Acts and Politeness: A Case Study on Indonesian EFL Learners in Teaching and Learning Practice

This research is intended to know the kinds and classification of speech acts and the politeness implication in teaching and learning activities. The subject of this research was the sixth-semester EFL learners of STKIP PGRI Bandar Lampung. The object of this research was speech acts used by EFL learners. The researcher used the observation technique combined with noting technique in collecting the data. In this research, the researcher used the qualitative multiple study. The result of the study showed that speech acts used by EFL learners were direct and indirect speech acts. The speech acts were classified into the assertive, commissive, directive, and expressive. The politeness strategy acted by EFL learning included positive and negative politeness. The use of positive politeness creates a closeness among the teacher and the students, creates a pleasant classroom atmosphere, and increases the students’ motivation. Meanwhile, the use of negative politeness reduces amount degree of friendliness among the students and the teacher and creates a formal learning situation. Theoretically, this research has implications for the development of scientific insights about pragmatics, especially speech acts, and practically it gives implication to EFL teachers and students in understanding, analyzing, and interpreting the use of speech acts in communication.&#x0D; &#x0D;
Review of the Volume “Trăind cu schizofrenia” [Living with Schizophrenia], Authors: Eliza Geanina Cogian, Adina Nicoleta Karner Huţuleac, Lumen Publishing House, 2020

The analysis of social discourses on schizophrenia, in terms of its causal aspects, effects but also forms of therapeutic intervention show a wide diversity of opinions, ranging from empathic to attitudes of total rejection. The book “Trăind cu schizofrenia” [Living with schizophrenia], published by Lumen Publishing House in 2020, is written by two practicing psychologists, Eliza Gianina Cogian, who has been training in family and couple systemic psychotherapy, and also as a therapist for people diagnosed with schizophrenia, and Adina Nicoleta Karner Huţuleac, who is a doctor of psychology and trainer of family and couple systemic psychotherapy. There are many misconceptions and myths about schizophrenia. We must recognize that these myths contribute to maintaining a global pessimism regarding the knowledge related to this disease and at the same time can reduce the patient's chances to improve their condition or to recover. In this sense, the book has the great merit of comparatively analyzing different theoretical concepts, including that of Jung or Bleuler, but also some forms of therapeutic intervention.
MACHINE AS ONE PLAYER IN INDIAN COWRY BOARD GAME: ADVANCED PLAYING STRATEGIES

Cowry game, also known as Chowka Bhara, is an ancient board game originated in India.It is a 2-4 player strategic race game which contains an element of chance due to the throw of special dice (cowry shells).This game involves reasoning under uncertainty and stochasticity, and the decisions have to be made based on incomplete knowledge.Therefore, it may be regarded as a suitable domain for exploring various approaches in real-time strategic decision-making.This research investigates the potential for an artificially intelligent Cowry game player, capable of playing on a high-performing level against human opponents.We propose and implement a few advanced playing strategies for the game, and analyze their effectiveness based on different performance measures.We also provide an experimental comparison between the proposed advanced strategies and the basic strategies that we developed in our earlier work.The analysis of playing strategies presented in this paper can be used for evolving more sophisticated strategies, and may eventually lead to the development of an adaptive artificial player for Cowry game and similar race games